From a159393f4ecb99ce1bef2b6ac99ed2cbb8d06ead Mon Sep 17 00:00:00 2001
From: Shehab Amin <11789402+shehabgamin@users.noreply.github.com>
Date: Sat, 8 Feb 2025 03:18:14 -0800
Subject: [PATCH] Test DataFusion 45.0.0 with Sail (#365)

---
 Cargo.lock                                    | 480 ++++++++++--------
 Cargo.toml                                    |  45 +-
 crates/sail-cli/src/spark/shell.rs            |   8 +-
 crates/sail-execution/src/codec.rs            |  17 +-
 .../src/extension/function/spark_array.rs     |  11 +-
 .../src/extension/function/spark_concat.rs    |  13 +-
 .../sail-plan/src/extension/source/rename.rs  |  13 +-
 .../sail-python-udf/src/cereal/pyspark_udf.rs |  15 +-
 .../src/cereal/pyspark_udtf.rs                |  17 +-
 crates/sail-python-udf/src/conversion.rs      |  78 ++-
 crates/sail-python-udf/src/python/mod.rs      |  12 +-
 crates/sail-python-udf/src/python/spark.rs    |  34 +-
 crates/sail-python-udf/src/stream.rs          |   6 +-
 crates/sail-python/src/spark/mod.rs           |   2 +-
 crates/sail-spark-connect/src/error.rs        |  44 +-
 .../tests/gold_data/function/agg.json         |  16 +-
 .../tests/gold_data/function/map.json         |   2 +-
 .../tests/gold_data/function/math.json        |   6 +-
 .../tests/gold_data/function/window.json      |   6 +-
 19 files changed, 489 insertions(+), 336 deletions(-)

diff --git a/Cargo.lock b/Cargo.lock
index ad2bbc2e..d128d533 100644
--- a/Cargo.lock
+++ b/Cargo.lock
@@ -216,9 +216,9 @@ checksum = "7c02d123df017efcdfbd739ef81735b36c5ba83ec3c59c80a9d7ecc718f92e50"
 
 [[package]]
 name = "arrow"
-version = "53.4.0"
+version = "54.1.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "eaf3437355979f1e93ba84ba108c38be5767713051f3c8ffbf07c094e2e61f9f"
+checksum = "6422e12ac345a0678d7a17e316238e3a40547ae7f92052b77bd86d5e0239f3fc"
 dependencies = [
  "arrow-arith",
  "arrow-array",
@@ -238,24 +238,23 @@ dependencies = [
 
 [[package]]
 name = "arrow-arith"
-version = "53.4.0"
+version = "54.1.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "31dce77d2985522288edae7206bffd5fc4996491841dda01a13a58415867e681"
+checksum = "23cf34bb1f48c41d3475927bcc7be498665b8e80b379b88f62a840337f8b8248"
 dependencies = [
  "arrow-array",
  "arrow-buffer",
  "arrow-data",
  "arrow-schema",
  "chrono",
- "half",
  "num",
 ]
 
 [[package]]
 name = "arrow-array"
-version = "53.4.0"
+version = "54.1.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "2d45fe6d3faed0435b7313e59a02583b14c6c6339fa7729e94c32a20af319a79"
+checksum = "fb4a06d507f54b70a277be22a127c8ffe0cec6cd98c0ad8a48e77779bbda8223"
 dependencies = [
  "ahash",
  "arrow-buffer",
@@ -270,9 +269,9 @@ dependencies = [
 
 [[package]]
 name = "arrow-buffer"
-version = "53.4.0"
+version = "54.1.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "2b02656a35cc103f28084bc80a0159668e0a680d919cef127bd7e0aaccb06ec1"
+checksum = "d69d326d5ad1cb82dcefa9ede3fee8fdca98f9982756b16f9cb142f4aa6edc89"
 dependencies = [
  "bytes",
  "half",
@@ -281,9 +280,9 @@ dependencies = [
 
 [[package]]
 name = "arrow-cast"
-version = "53.4.0"
+version = "54.1.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "c73c6233c5b5d635a56f6010e6eb1ab9e30e94707db21cea03da317f67d84cf3"
+checksum = "626e65bd42636a84a238bed49d09c8777e3d825bf81f5087a70111c2831d9870"
 dependencies = [
  "arrow-array",
  "arrow-buffer",
@@ -302,28 +301,25 @@ dependencies = [
 
 [[package]]
 name = "arrow-csv"
-version = "53.4.0"
+version = "54.1.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "ec222848d70fea5a32af9c3602b08f5d740d5e2d33fbd76bf6fd88759b5b13a7"
+checksum = "71c8f959f7a1389b1dbd883cdcd37c3ed12475329c111912f7f69dad8195d8c6"
 dependencies = [
  "arrow-array",
- "arrow-buffer",
  "arrow-cast",
- "arrow-data",
  "arrow-schema",
  "chrono",
  "csv",
  "csv-core",
  "lazy_static",
- "lexical-core",
  "regex",
 ]
 
 [[package]]
 name = "arrow-data"
-version = "53.4.0"
+version = "54.1.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "b7f2861ffa86f107b8ab577d86cff7c7a490243eabe961ba1e1af4f27542bb79"
+checksum = "1858e7c7d01c44cf71c21a85534fd1a54501e8d60d1195d0d6fbcc00f4b10754"
 dependencies = [
  "arrow-buffer",
  "arrow-schema",
@@ -333,9 +329,9 @@ dependencies = [
 
 [[package]]
 name = "arrow-flight"
-version = "53.4.0"
+version = "54.1.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "3ab7635558f3f803b492eae56c03cde97ea5f85a1c768f94181cb7db69cd81be"
+checksum = "a9b3aaba47ed4b6146563c8b79ad0f7aa283f794cde0c057c656291b81196746"
 dependencies = [
  "arrow-array",
  "arrow-buffer",
@@ -345,22 +341,19 @@ dependencies = [
  "base64 0.22.1",
  "bytes",
  "futures",
- "paste",
  "prost 0.13.4",
  "prost-types 0.13.4",
- "tokio",
  "tonic",
 ]
 
 [[package]]
 name = "arrow-ipc"
-version = "53.4.0"
+version = "54.1.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "0270dc511f11bb5fa98a25020ad51a99ca5b08d8a8dfbd17503bb9dba0388f0b"
+checksum = "a6bb3f727f049884c7603f0364bc9315363f356b59e9f605ea76541847e06a1e"
 dependencies = [
  "arrow-array",
  "arrow-buffer",
- "arrow-cast",
  "arrow-data",
  "arrow-schema",
  "flatbuffers",
@@ -369,9 +362,9 @@ dependencies = [
 
 [[package]]
 name = "arrow-json"
-version = "53.4.0"
+version = "54.1.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "0eff38eeb8a971ad3a4caf62c5d57f0cff8a48b64a55e3207c4fd696a9234aad"
+checksum = "35de94f165ed8830aede72c35f238763794f0d49c69d30c44d49c9834267ff8c"
 dependencies = [
  "arrow-array",
  "arrow-buffer",
@@ -389,26 +382,23 @@ dependencies = [
 
 [[package]]
 name = "arrow-ord"
-version = "53.4.0"
+version = "54.1.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "c6f202a879d287099139ff0d121e7f55ae5e0efe634b8cf2106ebc27a8715dee"
+checksum = "8aa06e5f267dc53efbacb933485c79b6fc1685d3ffbe870a16ce4e696fb429da"
 dependencies = [
  "arrow-array",
  "arrow-buffer",
  "arrow-data",
  "arrow-schema",
  "arrow-select",
- "half",
- "num",
 ]
 
 [[package]]
 name = "arrow-row"
-version = "53.4.0"
+version = "54.1.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "a8f936954991c360ba762dff23f5dda16300774fafd722353d9683abd97630ae"
+checksum = "66f1144bb456a2f9d82677bd3abcea019217e572fc8f07de5a7bac4b2c56eb2c"
 dependencies = [
- "ahash",
  "arrow-array",
  "arrow-buffer",
  "arrow-data",
@@ -418,9 +408,9 @@ dependencies = [
 
 [[package]]
 name = "arrow-schema"
-version = "53.4.0"
+version = "54.1.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "9579b9d8bce47aa41389fe344f2c6758279983b7c0ebb4013e283e3e91bb450e"
+checksum = "105f01ec0090259e9a33a9263ec18ff223ab91a0ea9fbc18042f7e38005142f6"
 dependencies = [
  "bitflags 2.8.0",
  "serde",
@@ -428,9 +418,9 @@ dependencies = [
 
 [[package]]
 name = "arrow-select"
-version = "53.4.0"
+version = "54.1.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "7471ba126d0b0aaa24b50a36bc6c25e4e74869a1fd1a5553357027a0b1c8d1f1"
+checksum = "f690752fdbd2dee278b5f1636fefad8f2f7134c85e20fd59c4199e15a39a6807"
 dependencies = [
  "ahash",
  "arrow-array",
@@ -442,9 +432,9 @@ dependencies = [
 
 [[package]]
 name = "arrow-string"
-version = "53.4.0"
+version = "54.1.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "72993b01cb62507b06f1fb49648d7286c8989ecfabdb7b77a750fcb54410731b"
+checksum = "d0fff9cd745a7039b66c47ecaf5954460f9fa12eed628f65170117ea93e64ee0"
 dependencies = [
  "arrow-array",
  "arrow-buffer",
@@ -551,9 +541,9 @@ checksum = "ace50bade8e6234aa140d9a2f552bbee1db4d353f69b8217bc503490fc1a9f26"
 
 [[package]]
 name = "aws-config"
-version = "1.5.15"
+version = "1.5.16"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "dc47e70fc35d054c8fcd296d47a61711f043ac80534a10b4f741904f81e73a90"
+checksum = "50236e4d60fe8458de90a71c0922c761e41755adf091b1b03de1cef537179915"
 dependencies = [
  "aws-credential-types",
  "aws-runtime",
@@ -593,9 +583,9 @@ dependencies = [
 
 [[package]]
 name = "aws-runtime"
-version = "1.5.4"
+version = "1.5.5"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "bee7643696e7fdd74c10f9eb42848a87fe469d35eae9c3323f80aa98f350baac"
+checksum = "76dd04d39cc12844c0994f2c9c5a6f5184c22e9188ec1ff723de41910a21dcad"
 dependencies = [
  "aws-credential-types",
  "aws-sigv4",
@@ -618,9 +608,9 @@ dependencies = [
 
 [[package]]
 name = "aws-sdk-sso"
-version = "1.56.0"
+version = "1.58.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "12e057fdcb8842de9b83592a70f5b4da0ee10bc0ad278247da1425a742a444d7"
+checksum = "16ff718c9ee45cc1ebd4774a0e086bb80a6ab752b4902edf1c9f56b86ee1f770"
 dependencies = [
  "aws-credential-types",
  "aws-runtime",
@@ -640,9 +630,9 @@ dependencies = [
 
 [[package]]
 name = "aws-sdk-ssooidc"
-version = "1.57.1"
+version = "1.59.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "a120ade4a44691b3c5c2ff2fa61b14ed331fdc218397f61ab48d66593012ae2a"
+checksum = "5183e088715cc135d8d396fdd3bc02f018f0da4c511f53cb8d795b6a31c55809"
 dependencies = [
  "aws-credential-types",
  "aws-runtime",
@@ -662,9 +652,9 @@ dependencies = [
 
 [[package]]
 name = "aws-sdk-sts"
-version = "1.57.0"
+version = "1.59.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "115fd4fb663817ed595a5ee4f1649d7aacd861d47462323cb37576ce89271b93"
+checksum = "c9f944ef032717596639cea4a2118a3a457268ef51bbb5fde9637e54c465da00"
 dependencies = [
  "aws-credential-types",
  "aws-runtime",
@@ -685,9 +675,9 @@ dependencies = [
 
 [[package]]
 name = "aws-sigv4"
-version = "1.2.7"
+version = "1.2.8"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "690118821e46967b3c4501d67d7d52dd75106a9c54cf36cefa1985cedbe94e05"
+checksum = "0bc5bbd1e4a2648fd8c5982af03935972c24a2f9846b396de661d351ee3ce837"
 dependencies = [
  "aws-credential-types",
  "aws-smithy-http",
@@ -758,9 +748,9 @@ dependencies = [
 
 [[package]]
 name = "aws-smithy-runtime"
-version = "1.7.7"
+version = "1.7.8"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "865f7050bbc7107a6c98a397a9fcd9413690c27fa718446967cf03b2d3ac517e"
+checksum = "d526a12d9ed61fadefda24abe2e682892ba288c2018bcb38b1b4c111d13f6d92"
 dependencies = [
  "aws-smithy-async",
  "aws-smithy-http",
@@ -802,9 +792,9 @@ dependencies = [
 
 [[package]]
 name = "aws-smithy-types"
-version = "1.2.12"
+version = "1.2.13"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "a28f6feb647fb5e0d5b50f0472c19a7db9462b74e2fec01bb0b44eedcc834e97"
+checksum = "c7b8a53819e42f10d0821f56da995e1470b199686a1809168db6ca485665f042"
 dependencies = [
  "base64-simd",
  "bytes",
@@ -834,9 +824,9 @@ dependencies = [
 
 [[package]]
 name = "aws-types"
-version = "1.3.4"
+version = "1.3.5"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "b0df5a18c4f951c645300d365fec53a61418bcf4650f604f85fe2a665bfaa0c2"
+checksum = "dfbd0a668309ec1f66c0f6bda4840dd6d4796ae26d699ebc266d7cc95c6d040f"
 dependencies = [
  "aws-credential-types",
  "aws-smithy-async",
@@ -1063,9 +1053,9 @@ checksum = "1fd0f2584146f6f2ef48085050886acf353beff7305ebd1ae69500e27c67f64b"
 
 [[package]]
 name = "bytes"
-version = "1.9.0"
+version = "1.10.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "325918d6fe32f23b19878fe4b34794ae41fc19ddbe53b10571a4874d44ffd39b"
+checksum = "f61dac84819c6588b558454b194026eb1f09c293b9036ae9b159e74e73ab6cf9"
 
 [[package]]
 name = "bytes-utils"
@@ -1119,9 +1109,9 @@ dependencies = [
 
 [[package]]
 name = "cc"
-version = "1.2.10"
+version = "1.2.13"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "13208fcbb66eaeffe09b99fffbe1af420f00a7b35aa99ad683dfc1aa76145229"
+checksum = "c7777341816418c02e033934a09f20dc0ccaf65a5201ef8a450ae0105a573fda"
 dependencies = [
  "jobserver",
  "libc",
@@ -1198,9 +1188,9 @@ dependencies = [
 
 [[package]]
 name = "clap"
-version = "4.5.27"
+version = "4.5.28"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "769b0145982b4b48713e01ec42d61614425f27b7058bda7180a3a41f30104796"
+checksum = "3e77c3243bd94243c03672cb5154667347c457ca271254724f9f393aee1c05ff"
 dependencies = [
  "clap_builder",
  "clap_derive",
@@ -1220,9 +1210,9 @@ dependencies = [
 
 [[package]]
 name = "clap_derive"
-version = "4.5.24"
+version = "4.5.28"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "54b755194d6389280185988721fffba69495eed5ee9feeee9a599b53db80318c"
+checksum = "bf4ced95c6f4a675af3da73304b9ac4ed991640c36374e4b46795c49e17cf1ed"
 dependencies = [
  "heck",
  "proc-macro2",
@@ -1244,13 +1234,12 @@ checksum = "5b63caa9aa9397e2d9480a9b13673856c78d8ac123288526c37d7839f2a86990"
 
 [[package]]
 name = "comfy-table"
-version = "7.1.3"
+version = "7.1.4"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "24f165e7b643266ea80cb858aed492ad9280e3e05ce24d4a99d7d7b889b6a4d9"
+checksum = "4a65ebfec4fb190b6f90e944a817d60499ee0744e582530e2c9900a22e591d9a"
 dependencies = [
  "crossterm",
- "strum",
- "strum_macros",
+ "unicode-segmentation",
  "unicode-width",
 ]
 
@@ -1455,9 +1444,8 @@ dependencies = [
 
 [[package]]
 name = "datafusion"
-version = "44.0.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "014fc8c384ecacedaabb3bc8359c2a6c6e9d8f7bea65be3434eccacfc37f52d9"
+version = "45.0.0"
+source = "git+https://github.com/apache/datafusion.git?rev=a9fb58c#a9fb58ca3aac8936d058b79fab4dc9ae4bd7edc2"
 dependencies = [
  "apache-avro",
  "arrow",
@@ -1469,8 +1457,8 @@ dependencies = [
  "bytes",
  "bzip2 0.5.0",
  "chrono",
- "dashmap",
  "datafusion-catalog",
+ "datafusion-catalog-listing",
  "datafusion-common",
  "datafusion-common-runtime",
  "datafusion-execution",
@@ -1489,7 +1477,7 @@ dependencies = [
  "flate2",
  "futures",
  "glob",
- "itertools 0.13.0",
+ "itertools 0.14.0",
  "log",
  "num-traits",
  "object_store",
@@ -1497,7 +1485,7 @@ dependencies = [
  "parquet",
  "rand 0.8.5",
  "regex",
- "sqlparser 0.53.0 (registry+https://github.com/rust-lang/crates.io-index)",
+ "sqlparser 0.54.0",
  "tempfile",
  "tokio",
  "tokio-util",
@@ -1509,31 +1497,59 @@ dependencies = [
 
 [[package]]
 name = "datafusion-catalog"
-version = "44.0.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "ee60d33e210ef96070377ae667ece7caa0e959c8387496773d4a1a72f1a5012e"
+version = "45.0.0"
+source = "git+https://github.com/apache/datafusion.git?rev=a9fb58c#a9fb58ca3aac8936d058b79fab4dc9ae4bd7edc2"
 dependencies = [
- "arrow-schema",
+ "arrow",
  "async-trait",
+ "dashmap",
  "datafusion-common",
  "datafusion-execution",
  "datafusion-expr",
  "datafusion-physical-plan",
+ "datafusion-sql",
+ "futures",
+ "itertools 0.14.0",
+ "log",
  "parking_lot",
+ "sqlparser 0.54.0",
+]
+
+[[package]]
+name = "datafusion-catalog-listing"
+version = "45.0.0"
+source = "git+https://github.com/apache/datafusion.git?rev=a9fb58c#a9fb58ca3aac8936d058b79fab4dc9ae4bd7edc2"
+dependencies = [
+ "arrow",
+ "arrow-schema",
+ "chrono",
+ "datafusion-catalog",
+ "datafusion-common",
+ "datafusion-execution",
+ "datafusion-expr",
+ "datafusion-physical-expr",
+ "datafusion-physical-expr-common",
+ "datafusion-physical-plan",
+ "futures",
+ "glob",
+ "itertools 0.14.0",
+ "log",
+ "object_store",
+ "url",
 ]
 
 [[package]]
 name = "datafusion-common"
-version = "44.0.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "0b42b7d720fe21ed9cca2ebb635f3f13a12cfab786b41e0fba184fb2e620525b"
+version = "45.0.0"
+source = "git+https://github.com/apache/datafusion.git?rev=a9fb58c#a9fb58ca3aac8936d058b79fab4dc9ae4bd7edc2"
 dependencies = [
  "ahash",
  "apache-avro",
  "arrow",
  "arrow-array",
- "arrow-buffer",
+ "arrow-ipc",
  "arrow-schema",
+ "base64 0.22.1",
  "half",
  "hashbrown 0.14.5",
  "indexmap 2.7.1",
@@ -1544,16 +1560,15 @@ dependencies = [
  "paste",
  "pyo3",
  "recursive",
- "sqlparser 0.53.0 (registry+https://github.com/rust-lang/crates.io-index)",
+ "sqlparser 0.54.0",
  "tokio",
  "web-time",
 ]
 
 [[package]]
 name = "datafusion-common-runtime"
-version = "44.0.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "72fbf14d4079f7ce5306393084fe5057dddfdc2113577e0049310afa12e94281"
+version = "45.0.0"
+source = "git+https://github.com/apache/datafusion.git?rev=a9fb58c#a9fb58ca3aac8936d058b79fab4dc9ae4bd7edc2"
 dependencies = [
  "log",
  "tokio",
@@ -1561,15 +1576,13 @@ dependencies = [
 
 [[package]]
 name = "datafusion-doc"
-version = "44.0.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "c278dbd64860ed0bb5240fc1f4cb6aeea437153910aea69bcf7d5a8d6d0454f3"
+version = "45.0.0"
+source = "git+https://github.com/apache/datafusion.git?rev=a9fb58c#a9fb58ca3aac8936d058b79fab4dc9ae4bd7edc2"
 
 [[package]]
 name = "datafusion-execution"
-version = "44.0.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "e22cb02af47e756468b3cbfee7a83e3d4f2278d452deb4b033ba933c75169486"
+version = "45.0.0"
+source = "git+https://github.com/apache/datafusion.git?rev=a9fb58c#a9fb58ca3aac8936d058b79fab4dc9ae4bd7edc2"
 dependencies = [
  "arrow",
  "dashmap",
@@ -1586,9 +1599,8 @@ dependencies = [
 
 [[package]]
 name = "datafusion-expr"
-version = "44.0.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "62298eadb1d15b525df1315e61a71519ffc563d41d5c3b2a30fda2d70f77b93c"
+version = "45.0.0"
+source = "git+https://github.com/apache/datafusion.git?rev=a9fb58c#a9fb58ca3aac8936d058b79fab4dc9ae4bd7edc2"
 dependencies = [
  "arrow",
  "chrono",
@@ -1602,25 +1614,24 @@ dependencies = [
  "paste",
  "recursive",
  "serde_json",
- "sqlparser 0.53.0 (registry+https://github.com/rust-lang/crates.io-index)",
+ "sqlparser 0.54.0",
 ]
 
 [[package]]
 name = "datafusion-expr-common"
-version = "44.0.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "dda7f73c5fc349251cd3dcb05773c5bf55d2505a698ef9d38dfc712161ea2f55"
+version = "45.0.0"
+source = "git+https://github.com/apache/datafusion.git?rev=a9fb58c#a9fb58ca3aac8936d058b79fab4dc9ae4bd7edc2"
 dependencies = [
  "arrow",
  "datafusion-common",
- "itertools 0.13.0",
+ "itertools 0.14.0",
+ "paste",
 ]
 
 [[package]]
 name = "datafusion-functions"
-version = "44.0.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "fd197f3b2975424d3a4898ea46651be855a46721a56727515dbd5c9e2fb597da"
+version = "45.0.0"
+source = "git+https://github.com/apache/datafusion.git?rev=a9fb58c#a9fb58ca3aac8936d058b79fab4dc9ae4bd7edc2"
 dependencies = [
  "arrow",
  "arrow-buffer",
@@ -1636,7 +1647,7 @@ dependencies = [
  "datafusion-macros",
  "hashbrown 0.14.5",
  "hex",
- "itertools 0.13.0",
+ "itertools 0.14.0",
  "log",
  "md-5",
  "rand 0.8.5",
@@ -1648,9 +1659,8 @@ dependencies = [
 
 [[package]]
 name = "datafusion-functions-aggregate"
-version = "44.0.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "aabbe48fba18f9981b134124381bee9e46f93518b8ad2f9721ee296cef5affb9"
+version = "45.0.0"
+source = "git+https://github.com/apache/datafusion.git?rev=a9fb58c#a9fb58ca3aac8936d058b79fab4dc9ae4bd7edc2"
 dependencies = [
  "ahash",
  "arrow",
@@ -1670,9 +1680,8 @@ dependencies = [
 
 [[package]]
 name = "datafusion-functions-aggregate-common"
-version = "44.0.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "d7a3fefed9c8c11268d446d924baca8cabf52fe32f73fdaa20854bac6473590c"
+version = "45.0.0"
+source = "git+https://github.com/apache/datafusion.git?rev=a9fb58c#a9fb58ca3aac8936d058b79fab4dc9ae4bd7edc2"
 dependencies = [
  "ahash",
  "arrow",
@@ -1683,8 +1692,8 @@ dependencies = [
 
 [[package]]
 name = "datafusion-functions-json"
-version = "0.44.0"
-source = "git+https://github.com/lakehq/datafusion-functions-json.git?rev=7bcca26#7bcca26c4451e9bdb5873307101a04c385effc01"
+version = "0.44.2"
+source = "git+https://github.com/lakehq/datafusion-functions-json.git?rev=453183d#453183d85793113ecd6e145953a0d913c0179e28"
 dependencies = [
  "datafusion",
  "jiter",
@@ -1694,31 +1703,30 @@ dependencies = [
 
 [[package]]
 name = "datafusion-functions-nested"
-version = "44.0.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "6360f27464fab857bec698af39b2ae331dc07c8bf008fb4de387a19cdc6815a5"
+version = "45.0.0"
+source = "git+https://github.com/apache/datafusion.git?rev=a9fb58c#a9fb58ca3aac8936d058b79fab4dc9ae4bd7edc2"
 dependencies = [
  "arrow",
  "arrow-array",
- "arrow-buffer",
  "arrow-ord",
  "arrow-schema",
  "datafusion-common",
+ "datafusion-doc",
  "datafusion-execution",
  "datafusion-expr",
  "datafusion-functions",
  "datafusion-functions-aggregate",
+ "datafusion-macros",
  "datafusion-physical-expr-common",
- "itertools 0.13.0",
+ "itertools 0.14.0",
  "log",
  "paste",
 ]
 
 [[package]]
 name = "datafusion-functions-table"
-version = "44.0.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "5c35c070eb705c12795dab399c3809f4dfbc290678c624d3989490ca9b8449c1"
+version = "45.0.0"
+source = "git+https://github.com/apache/datafusion.git?rev=a9fb58c#a9fb58ca3aac8936d058b79fab4dc9ae4bd7edc2"
 dependencies = [
  "arrow",
  "async-trait",
@@ -1732,9 +1740,8 @@ dependencies = [
 
 [[package]]
 name = "datafusion-functions-window"
-version = "44.0.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "52229bca26b590b140900752226c829f15fc1a99840e1ca3ce1a9534690b82a8"
+version = "45.0.0"
+source = "git+https://github.com/apache/datafusion.git?rev=a9fb58c#a9fb58ca3aac8936d058b79fab4dc9ae4bd7edc2"
 dependencies = [
  "datafusion-common",
  "datafusion-doc",
@@ -1749,9 +1756,8 @@ dependencies = [
 
 [[package]]
 name = "datafusion-functions-window-common"
-version = "44.0.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "367befc303b64a668a10ae6988a064a9289e1999e71a7f8e526b6e14d6bdd9d6"
+version = "45.0.0"
+source = "git+https://github.com/apache/datafusion.git?rev=a9fb58c#a9fb58ca3aac8936d058b79fab4dc9ae4bd7edc2"
 dependencies = [
  "datafusion-common",
  "datafusion-physical-expr-common",
@@ -1759,19 +1765,18 @@ dependencies = [
 
 [[package]]
 name = "datafusion-macros"
-version = "44.0.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "f5de3c8f386ea991696553afe241a326ecbc3c98a12c562867e4be754d3a060c"
+version = "45.0.0"
+source = "git+https://github.com/apache/datafusion.git?rev=a9fb58c#a9fb58ca3aac8936d058b79fab4dc9ae4bd7edc2"
 dependencies = [
+ "datafusion-expr",
  "quote",
  "syn",
 ]
 
 [[package]]
 name = "datafusion-optimizer"
-version = "44.0.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "53b520413906f755910422b016fb73884ae6e9e1b376de4f9584b6c0e031da75"
+version = "45.0.0"
+source = "git+https://github.com/apache/datafusion.git?rev=a9fb58c#a9fb58ca3aac8936d058b79fab4dc9ae4bd7edc2"
 dependencies = [
  "arrow",
  "chrono",
@@ -1779,7 +1784,7 @@ dependencies = [
  "datafusion-expr",
  "datafusion-physical-expr",
  "indexmap 2.7.1",
- "itertools 0.13.0",
+ "itertools 0.14.0",
  "log",
  "recursive",
  "regex",
@@ -1788,14 +1793,12 @@ dependencies = [
 
 [[package]]
 name = "datafusion-physical-expr"
-version = "44.0.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "acd6ddc378f6ad19af95ccd6790dec8f8e1264bc4c70e99ddc1830c1a1c78ccd"
+version = "45.0.0"
+source = "git+https://github.com/apache/datafusion.git?rev=a9fb58c#a9fb58ca3aac8936d058b79fab4dc9ae4bd7edc2"
 dependencies = [
  "ahash",
  "arrow",
  "arrow-array",
- "arrow-buffer",
  "arrow-schema",
  "datafusion-common",
  "datafusion-expr",
@@ -1805,53 +1808,54 @@ dependencies = [
  "half",
  "hashbrown 0.14.5",
  "indexmap 2.7.1",
- "itertools 0.13.0",
+ "itertools 0.14.0",
  "log",
  "paste",
- "petgraph",
+ "petgraph 0.7.1",
 ]
 
 [[package]]
 name = "datafusion-physical-expr-common"
-version = "44.0.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "06e6c05458eccd74b4c77ed6a1fe63d52434240711de7f6960034794dad1caf5"
+version = "45.0.0"
+source = "git+https://github.com/apache/datafusion.git?rev=a9fb58c#a9fb58ca3aac8936d058b79fab4dc9ae4bd7edc2"
 dependencies = [
  "ahash",
  "arrow",
  "datafusion-common",
  "datafusion-expr-common",
  "hashbrown 0.14.5",
- "itertools 0.13.0",
+ "itertools 0.14.0",
 ]
 
 [[package]]
 name = "datafusion-physical-optimizer"
-version = "44.0.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "9dc3a82190f49c37d377f31317e07ab5d7588b837adadba8ac367baad5dc2351"
+version = "45.0.0"
+source = "git+https://github.com/apache/datafusion.git?rev=a9fb58c#a9fb58ca3aac8936d058b79fab4dc9ae4bd7edc2"
 dependencies = [
  "arrow",
+ "arrow-schema",
  "datafusion-common",
  "datafusion-execution",
+ "datafusion-expr",
  "datafusion-expr-common",
  "datafusion-physical-expr",
+ "datafusion-physical-expr-common",
  "datafusion-physical-plan",
- "itertools 0.13.0",
+ "futures",
+ "itertools 0.14.0",
  "log",
  "recursive",
+ "url",
 ]
 
 [[package]]
 name = "datafusion-physical-plan"
-version = "44.0.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "6a6608bc9844b4ddb5ed4e687d173e6c88700b1d0482f43894617d18a1fe75da"
+version = "45.0.0"
+source = "git+https://github.com/apache/datafusion.git?rev=a9fb58c#a9fb58ca3aac8936d058b79fab4dc9ae4bd7edc2"
 dependencies = [
  "ahash",
  "arrow",
  "arrow-array",
- "arrow-buffer",
  "arrow-ord",
  "arrow-schema",
  "async-trait",
@@ -1867,7 +1871,7 @@ dependencies = [
  "half",
  "hashbrown 0.14.5",
  "indexmap 2.7.1",
- "itertools 0.13.0",
+ "itertools 0.14.0",
  "log",
  "parking_lot",
  "pin-project-lite",
@@ -1876,9 +1880,8 @@ dependencies = [
 
 [[package]]
 name = "datafusion-proto"
-version = "44.0.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "8e23b0998195e495bfa7b37cdceb317129a6c40522219f6872d2e0c9ae9f4fcb"
+version = "45.0.0"
+source = "git+https://github.com/apache/datafusion.git?rev=a9fb58c#a9fb58ca3aac8936d058b79fab4dc9ae4bd7edc2"
 dependencies = [
  "arrow",
  "chrono",
@@ -1892,9 +1895,8 @@ dependencies = [
 
 [[package]]
 name = "datafusion-proto-common"
-version = "44.0.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "cfc59992a29eed2d2c1dd779deac99083b217774ebcf90ee121840607a4d866f"
+version = "45.0.0"
+source = "git+https://github.com/apache/datafusion.git?rev=a9fb58c#a9fb58ca3aac8936d058b79fab4dc9ae4bd7edc2"
 dependencies = [
  "arrow",
  "datafusion-common",
@@ -1903,9 +1905,8 @@ dependencies = [
 
 [[package]]
 name = "datafusion-sql"
-version = "44.0.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "6a884061c79b33d0c8e84a6f4f4be8bdc12c0f53f5af28ddf5d6d95ac0b15fdc"
+version = "45.0.0"
+source = "git+https://github.com/apache/datafusion.git?rev=a9fb58c#a9fb58ca3aac8936d058b79fab4dc9ae4bd7edc2"
 dependencies = [
  "arrow",
  "arrow-array",
@@ -1917,7 +1918,7 @@ dependencies = [
  "log",
  "recursive",
  "regex",
- "sqlparser 0.53.0 (registry+https://github.com/rust-lang/crates.io-index)",
+ "sqlparser 0.54.0",
 ]
 
 [[package]]
@@ -2093,6 +2094,12 @@ version = "0.4.2"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "0ce7134b9999ecaf8bcd65542e436736ef32ddca1b3e06094cb6ec5755203b80"
 
+[[package]]
+name = "fixedbitset"
+version = "0.5.7"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "1d674e81391d1e1ab681a28d99df07927c6d4aa5b027d7da16ba32d1d21ecd99"
+
 [[package]]
 name = "flatbuffers"
 version = "24.12.23"
@@ -2683,7 +2690,7 @@ dependencies = [
  "hyper 1.6.0",
  "hyper-util",
  "log",
- "rustls 0.23.21",
+ "rustls 0.23.22",
  "rustls-native-certs 0.8.1",
  "rustls-pki-types",
  "tokio",
@@ -2973,6 +2980,15 @@ dependencies = [
  "either",
 ]
 
+[[package]]
+name = "itertools"
+version = "0.14.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "2b192c782037fadd9cfa75548310488aabdbf3d2da73885b31bd0abd03351285"
+dependencies = [
+ "either",
+]
+
 [[package]]
 name = "itoa"
 version = "1.0.14"
@@ -2981,9 +2997,9 @@ checksum = "d75a2a4b1b190afb6f5425f10f6a8f959d2ea0b9c2b1d79553551850539e4674"
 
 [[package]]
 name = "jiter"
-version = "0.7.1"
+version = "0.8.2"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "07f69a121b68af57bc10f151f3f67444a64d1d3a0eb48b042801ea917a38dd25"
+checksum = "8243cf2d026264056bfacf305e54f5bee8866fd46b4c1873adcaebf614a0d306"
 dependencies = [
  "ahash",
  "bitvec",
@@ -3074,7 +3090,7 @@ dependencies = [
  "k8s-openapi",
  "kube-core",
  "pem",
- "rustls 0.23.21",
+ "rustls 0.23.22",
  "rustls-pemfile 2.2.0",
  "secrecy",
  "serde",
@@ -3556,9 +3572,9 @@ dependencies = [
 
 [[package]]
 name = "once_cell"
-version = "1.20.2"
+version = "1.20.3"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "1261fe7e33c73b354eab43b1273a57c8f967d0391e80353e51f764ac02cf6775"
+checksum = "945462a4b81e43c4e3ba96bd7b49d834c6f61198356aa858733bc4acf3cbe62e"
 
 [[package]]
 name = "opaque-debug"
@@ -3675,9 +3691,9 @@ dependencies = [
 
 [[package]]
 name = "parquet"
-version = "53.4.0"
+version = "54.1.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "8957c0c95a6a1804f3e51a18f69df29be53856a8c5768cc9b6d00fcafcd2917c"
+checksum = "8a01a0efa30bbd601ae85b375c728efdb211ade54390281628a7b16708beb235"
 dependencies = [
  "ahash",
  "arrow-array",
@@ -3701,6 +3717,7 @@ dependencies = [
  "object_store",
  "paste",
  "seq-macro",
+ "simdutf8",
  "snap",
  "thrift",
  "tokio",
@@ -3851,7 +3868,17 @@ version = "0.6.5"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "b4c5cc86750666a3ed20bdaf5ca2a0344f9c67674cae0515bec2da16fbaa47db"
 dependencies = [
- "fixedbitset",
+ "fixedbitset 0.4.2",
+ "indexmap 2.7.1",
+]
+
+[[package]]
+name = "petgraph"
+version = "0.7.1"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "3672b37090dbd86368a4145bc067582552b29c27377cad4e0a306c97f9bd7772"
+dependencies = [
+ "fixedbitset 0.5.7",
  "indexmap 2.7.1",
 ]
 
@@ -3909,18 +3936,18 @@ dependencies = [
 
 [[package]]
 name = "pin-project"
-version = "1.1.8"
+version = "1.1.9"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "1e2ec53ad785f4d35dac0adea7f7dc6f1bb277ad84a680c7afefeae05d1f5916"
+checksum = "dfe2e71e1471fe07709406bf725f710b02927c9c54b2b5b2ec0e8087d97c327d"
 dependencies = [
  "pin-project-internal",
 ]
 
 [[package]]
 name = "pin-project-internal"
-version = "1.1.8"
+version = "1.1.9"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "d56a66c0c55993aa927429d0f8a0abfd74f084e4d9c192cffed01e418d83eefb"
+checksum = "f6e859e6e5bd50440ab63c47e3ebabc90f26251f7c73c3d3e837b74a1cc3fa67"
 dependencies = [
  "proc-macro2",
  "quote",
@@ -4072,7 +4099,7 @@ dependencies = [
  "log",
  "multimap",
  "once_cell",
- "petgraph",
+ "petgraph 0.6.5",
  "prettyplease",
  "prost 0.13.4",
  "prost-types 0.13.4",
@@ -4136,9 +4163,9 @@ dependencies = [
 
 [[package]]
 name = "pyo3"
-version = "0.22.6"
+version = "0.23.4"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "f402062616ab18202ae8319da13fa4279883a2b8a9d9f83f20dbade813ce1884"
+checksum = "57fe09249128b3173d092de9523eaa75136bf7ba85e0d69eca241c7939c933cc"
 dependencies = [
  "cfg-if",
  "indoc",
@@ -4156,9 +4183,9 @@ dependencies = [
 
 [[package]]
 name = "pyo3-build-config"
-version = "0.22.6"
+version = "0.23.4"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "b14b5775b5ff446dd1056212d778012cbe8a0fbffd368029fd9e25b514479c38"
+checksum = "1cd3927b5a78757a0d71aa9dff669f903b1eb64b54142a9bd9f757f8fde65fd7"
 dependencies = [
  "once_cell",
  "target-lexicon",
@@ -4166,9 +4193,9 @@ dependencies = [
 
 [[package]]
 name = "pyo3-ffi"
-version = "0.22.6"
+version = "0.23.4"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "9ab5bcf04a2cdcbb50c7d6105de943f543f9ed92af55818fd17b660390fc8636"
+checksum = "dab6bb2102bd8f991e7749f130a70d05dd557613e39ed2deeee8e9ca0c4d548d"
 dependencies = [
  "libc",
  "pyo3-build-config",
@@ -4176,9 +4203,9 @@ dependencies = [
 
 [[package]]
 name = "pyo3-macros"
-version = "0.22.6"
+version = "0.23.4"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "0fd24d897903a9e6d80b968368a34e1525aeb719d568dba8b3d4bfa5dc67d453"
+checksum = "91871864b353fd5ffcb3f91f2f703a22a9797c91b9ab497b1acac7b07ae509c7"
 dependencies = [
  "proc-macro2",
  "pyo3-macros-backend",
@@ -4188,9 +4215,9 @@ dependencies = [
 
 [[package]]
 name = "pyo3-macros-backend"
-version = "0.22.6"
+version = "0.23.4"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "36c011a03ba1e50152b4b394b479826cad97e7a21eb52df179cd91ac411cbfbe"
+checksum = "43abc3b80bc20f3facd86cd3c60beed58c3e2aa26213f3cda368de39c60a27e4"
 dependencies = [
  "heck",
  "proc-macro2",
@@ -4226,7 +4253,7 @@ dependencies = [
  "quinn-proto",
  "quinn-udp",
  "rustc-hash",
- "rustls 0.23.21",
+ "rustls 0.23.22",
  "socket2",
  "thiserror 2.0.11",
  "tokio",
@@ -4244,7 +4271,7 @@ dependencies = [
  "rand 0.8.5",
  "ring",
  "rustc-hash",
- "rustls 0.23.21",
+ "rustls 0.23.22",
  "rustls-pki-types",
  "slab",
  "thiserror 2.0.11",
@@ -4301,7 +4328,7 @@ checksum = "3779b94aeb87e8bd4e834cee3650289ee9e0d5677f976ecdb6d219e5f4f6cd94"
 dependencies = [
  "rand_chacha 0.9.0",
  "rand_core 0.9.0",
- "zerocopy 0.8.14",
+ "zerocopy 0.8.17",
 ]
 
 [[package]]
@@ -4340,7 +4367,7 @@ source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "b08f3c9802962f7e1b25113931d94f43ed9725bebc59db9d0c3e9a23b67e15ff"
 dependencies = [
  "getrandom 0.3.1",
- "zerocopy 0.8.14",
+ "zerocopy 0.8.17",
 ]
 
 [[package]]
@@ -4442,7 +4469,7 @@ dependencies = [
  "percent-encoding",
  "pin-project-lite",
  "quinn",
- "rustls 0.23.21",
+ "rustls 0.23.22",
  "rustls-native-certs 0.8.1",
  "rustls-pemfile 2.2.0",
  "rustls-pki-types",
@@ -4507,9 +4534,9 @@ checksum = "719b953e2095829ee67db738b3bfa9fa368c94900df327b3f07fe6e794d2fe1f"
 
 [[package]]
 name = "rustc-hash"
-version = "2.1.0"
+version = "2.1.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "c7fb8039b3032c191086b10f11f319a6e99e1e82889c5cc6046f515c9db1d497"
+checksum = "357703d41365b4b27c590e3ed91eabb1b663f07c4c084095e60cbed4362dff0d"
 
 [[package]]
 name = "rustc_version"
@@ -4547,9 +4574,9 @@ dependencies = [
 
 [[package]]
 name = "rustls"
-version = "0.23.21"
+version = "0.23.22"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "8f287924602bf649d949c63dc8ac8b235fa5387d394020705b80c4eb597ce5b8"
+checksum = "9fb9263ab4eb695e42321db096e3b8fbd715a59b154d5c88d82db2175b681ba7"
 dependencies = [
  "log",
  "once_cell",
@@ -4694,7 +4721,7 @@ dependencies = [
  "ryu",
  "serde",
  "serde_json",
- "sqlparser 0.53.0 (git+https://github.com/lakehq/sqlparser-rs.git?rev=9ade53d)",
+ "sqlparser 0.53.0",
  "thiserror 2.0.11",
 ]
 
@@ -4860,7 +4887,7 @@ dependencies = [
  "serde",
  "serde_arrow",
  "serde_json",
- "sqlparser 0.53.0 (git+https://github.com/lakehq/sqlparser-rs.git?rev=9ade53d)",
+ "sqlparser 0.53.0",
  "syn",
  "thiserror 2.0.11",
  "tokio",
@@ -4882,7 +4909,7 @@ dependencies = [
  "sail-common",
  "serde",
  "serde_json",
- "sqlparser 0.53.0 (git+https://github.com/lakehq/sqlparser-rs.git?rev=9ade53d)",
+ "sqlparser 0.53.0",
  "thiserror 2.0.11",
 ]
 
@@ -5155,6 +5182,12 @@ dependencies = [
  "libc",
 ]
 
+[[package]]
+name = "simdutf8"
+version = "0.1.5"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "e3a9fe34e3e7a50316060351f37187a3f546bce95496156754b601a5fa71b76e"
+
 [[package]]
 name = "siphasher"
 version = "1.0.1"
@@ -5222,22 +5255,23 @@ checksum = "6980e8d7511241f8acf4aebddbb1ff938df5eebe98691418c4468d0b72a96a67"
 [[package]]
 name = "sqlparser"
 version = "0.53.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "05a528114c392209b3264855ad491fcce534b94a38771b0a0b97a79379275ce8"
+source = "git+https://github.com/lakehq/sqlparser-rs.git?rev=9ade53d#9ade53d1bdf2fd56f3c5f93ba35db65cd3b1f709"
 dependencies = [
  "log",
- "sqlparser_derive 0.3.0 (registry+https://github.com/rust-lang/crates.io-index)",
+ "recursive",
+ "serde",
+ "sqlparser_derive 0.3.0 (git+https://github.com/lakehq/sqlparser-rs.git?rev=9ade53d)",
 ]
 
 [[package]]
 name = "sqlparser"
-version = "0.53.0"
-source = "git+https://github.com/lakehq/sqlparser-rs.git?rev=9ade53d#9ade53d1bdf2fd56f3c5f93ba35db65cd3b1f709"
+version = "0.54.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "c66e3b7374ad4a6af849b08b3e7a6eda0edbd82f0fd59b57e22671bf16979899"
 dependencies = [
  "log",
  "recursive",
- "serde",
- "sqlparser_derive 0.3.0 (git+https://github.com/lakehq/sqlparser-rs.git?rev=9ade53d)",
+ "sqlparser_derive 0.3.0 (registry+https://github.com/rust-lang/crates.io-index)",
 ]
 
 [[package]]
@@ -5534,7 +5568,7 @@ version = "0.26.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "5f6d0975eaace0cf0fcadee4e4aaa5da15b5c079146f2cffb67c113be122bf37"
 dependencies = [
- "rustls 0.23.21",
+ "rustls 0.23.22",
  "tokio",
 ]
 
@@ -5564,9 +5598,9 @@ dependencies = [
 
 [[package]]
 name = "toml"
-version = "0.8.19"
+version = "0.8.20"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "a1ed1f98e3fdc28d6d910e6737ae6ab1a93bf1985935a1193e68f93eeb68d24e"
+checksum = "cd87a5cdd6ffab733b2f74bc4fd7ee5fff6634124999ac278c35fc78c6120148"
 dependencies = [
  "serde",
  "serde_spanned",
@@ -5585,9 +5619,9 @@ dependencies = [
 
 [[package]]
 name = "toml_edit"
-version = "0.22.22"
+version = "0.22.23"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "4ae48d6208a266e853d946088ed816055e556cc6028c5e8e2b84d9fa5dd7c7f5"
+checksum = "02a8b472d1a3d7c18e2d61a489aee3453fd9031c33e4f55bd533f4a7adca1bee"
 dependencies = [
  "indexmap 2.7.1",
  "serde",
@@ -5958,12 +5992,14 @@ checksum = "06abde3611657adf66d383f00b093d7faecc7fa57071cce2578660c9f1010821"
 
 [[package]]
 name = "uuid"
-version = "1.12.1"
+version = "1.13.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "b3758f5e68192bb96cc8f9b7e2c2cfdabb435499a28499a42f8f984092adad4b"
+checksum = "ced87ca4be083373936a67f8de945faa23b6b42384bd5b64434850802c6dccd0"
 dependencies = [
- "getrandom 0.2.15",
+ "getrandom 0.3.1",
+ "js-sys",
  "serde",
+ "wasm-bindgen",
 ]
 
 [[package]]
@@ -6353,9 +6389,9 @@ checksum = "589f6da84c646204747d1270a2a5661ea66ed1cced2631d546fdfb155959f9ec"
 
 [[package]]
 name = "winnow"
-version = "0.6.25"
+version = "0.7.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "ad699df48212c6cc6eb4435f35500ac6fd3b9913324f938aea302022ce19d310"
+checksum = "86e376c75f4f43f44db463cf729e0d3acbf954d13e22c51e26e4c264b4ab545f"
 dependencies = [
  "memchr",
 ]
@@ -6457,11 +6493,11 @@ dependencies = [
 
 [[package]]
 name = "zerocopy"
-version = "0.8.14"
+version = "0.8.17"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "a367f292d93d4eab890745e75a778da40909cab4d6ff8173693812f79c4a2468"
+checksum = "aa91407dacce3a68c56de03abe2760159582b846c6a4acd2f456618087f12713"
 dependencies = [
- "zerocopy-derive 0.8.14",
+ "zerocopy-derive 0.8.17",
 ]
 
 [[package]]
@@ -6488,9 +6524,9 @@ dependencies = [
 
 [[package]]
 name = "zerocopy-derive"
-version = "0.8.14"
+version = "0.8.17"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "d3931cb58c62c13adec22e38686b559c86a30565e16ad6e8510a337cedc611e1"
+checksum = "06718a168365cad3d5ff0bb133aad346959a2074bd4a85c121255a11304a8626"
 dependencies = [
  "proc-macro2",
  "quote",
diff --git a/Cargo.toml b/Cargo.toml
index 8040cb57..9eab303f 100644
--- a/Cargo.toml
+++ b/Cargo.toml
@@ -50,7 +50,7 @@ ryu = "1.0.18"
 either = "1.12.0"
 num-bigint = "0.4.6"
 num-traits = "0.2.19"
-serde_arrow = { version = "0.12.3", features = ["arrow-53"] }
+serde_arrow = { version = "0.12.3", features = ["arrow-54"] }
 mimalloc = { version = "0.1.43", default-features = false }
 rand = "0.8.5"
 rand_chacha = "0.3.1"
@@ -86,16 +86,16 @@ chumsky = { version = "=1.0.0-alpha.7", default-features = false, features = ["p
 # The versions of the following dependencies are managed manually.
 ######
 
-datafusion = { version = "44.0.0", features = ["serde", "pyarrow", "avro"] }
-datafusion-common = { version = "44.0.0", features = ["object_store", "pyarrow", "avro"] }
-datafusion-expr = { version = "44.0.0" }
-datafusion-expr-common = { version = "44.0.0" }
-datafusion-proto = { version = "44.0.0" }
-datafusion-functions-nested = { version = "44.0.0" }
-datafusion-functions-json = { git = "https://github.com/lakehq/datafusion-functions-json.git", rev = "7bcca26" }
+datafusion = { version = "45.0.0", features = ["serde", "pyarrow", "avro"] }
+datafusion-common = { version = "45.0.0", features = ["object_store", "pyarrow", "avro"] }
+datafusion-expr = { version = "45.0.0" }
+datafusion-expr-common = { version = "45.0.0" }
+datafusion-proto = { version = "45.0.0" }
+datafusion-functions-nested = { version = "45.0.0" }
+datafusion-functions-json = { git = "https://github.com/lakehq/datafusion-functions-json.git", rev = "453183d" }
 # auto-initialize: Changes [`Python::with_gil`] to automatically initialize the Python interpreter if needed.
-pyo3 = { version = "0.22.0", features = ["auto-initialize", "serde"] }
-arrow-flight = { version = "53.3.0" }
+pyo3 = { version = "0.23.4", features = ["auto-initialize", "serde"] }
+arrow-flight = { version = "54.1.0" }
 # The `object_store` version must match the one used in DataFusion.
 object_store = { version = "0.11.0", features = ["aws", "gcp", "azure", "http"] }
 # We use a patched latest version of sqlparser. The version may be different from the one used in DataFusion.
@@ -109,6 +109,31 @@ sqlparser = { git = "https://github.com/lakehq/sqlparser-rs.git", rev = "9ade53d
 [patch.crates-io]
 # Override dependencies to use our forked versions.
 # You can use `path = "..."` to temporarily point to your local copy of the crates to speed up local development.
+datafusion = { git = "https://github.com/apache/datafusion.git", rev = "a9fb58c" }
+datafusion-catalog = { git = "https://github.com/apache/datafusion.git", rev = "a9fb58c" }
+datafusion-common = { git = "https://github.com/apache/datafusion.git", rev = "a9fb58c" }
+datafusion-common-runtime = { git = "https://github.com/apache/datafusion.git", rev = "a9fb58c" }
+datafusion-doc = { git = "https://github.com/apache/datafusion.git", rev = "a9fb58c" }
+datafusion-execution = { git = "https://github.com/apache/datafusion.git", rev = "a9fb58c" }
+datafusion-expr = { git = "https://github.com/apache/datafusion.git", rev = "a9fb58c" }
+datafusion-expr-common = { git = "https://github.com/apache/datafusion.git", rev = "a9fb58c" }
+#datafusion-ffi = { git = "https://github.com/apache/datafusion.git", rev = "a9fb58c" }
+datafusion-functions = { git = "https://github.com/apache/datafusion.git", rev = "a9fb58c" }
+datafusion-functions-aggregate = { git = "https://github.com/apache/datafusion.git", rev = "a9fb58c" }
+datafusion-functions-aggregate-common = { git = "https://github.com/apache/datafusion.git", rev = "a9fb58c" }
+datafusion-functions-nested = { git = "https://github.com/apache/datafusion.git", rev = "a9fb58c" }
+datafusion-functions-table = { git = "https://github.com/apache/datafusion.git", rev = "a9fb58c" }
+datafusion-functions-window = { git = "https://github.com/apache/datafusion.git", rev = "a9fb58c" }
+datafusion-functions-window-common = { git = "https://github.com/apache/datafusion.git", rev = "a9fb58c" }
+datafusion-macros = { git = "https://github.com/apache/datafusion.git", rev = "a9fb58c" }
+datafusion-optimizer = { git = "https://github.com/apache/datafusion.git", rev = "a9fb58c" }
+datafusion-physical-expr = { git = "https://github.com/apache/datafusion.git", rev = "a9fb58c" }
+datafusion-physical-expr-common = { git = "https://github.com/apache/datafusion.git", rev = "a9fb58c" }
+datafusion-physical-optimizer = { git = "https://github.com/apache/datafusion.git", rev = "a9fb58c" }
+datafusion-physical-plan = { git = "https://github.com/apache/datafusion.git", rev = "a9fb58c" }
+datafusion-proto = { git = "https://github.com/apache/datafusion.git", rev = "a9fb58c" }
+datafusion-proto-common = { git = "https://github.com/apache/datafusion.git", rev = "a9fb58c" }
+datafusion-sql = { git = "https://github.com/apache/datafusion.git", rev = "a9fb58c" }
 
 [profile.release]
 # https://doc.rust-lang.org/cargo/reference/profiles.html#release
diff --git a/crates/sail-cli/src/spark/shell.rs b/crates/sail-cli/src/spark/shell.rs
index 841feec2..ad8e17c3 100644
--- a/crates/sail-cli/src/spark/shell.rs
+++ b/crates/sail-cli/src/spark/shell.rs
@@ -1,3 +1,4 @@
+use std::ffi::CString;
 use std::net::Ipv4Addr;
 
 use pyo3::prelude::PyAnyMethods;
@@ -32,7 +33,12 @@ pub fn run_pyspark_shell() -> Result<(), Box<dyn std::error::Error>> {
     })?;
     runtime.spawn(server_task);
     Python::with_gil(|py| -> PyResult<_> {
-        let shell = PyModule::from_code_bound(py, SHELL_SOURCE_CODE, "shell.py", "shell")?;
+        let shell = PyModule::from_code(
+            py,
+            CString::new(SHELL_SOURCE_CODE)?.as_c_str(),
+            CString::new("shell.py")?.as_c_str(),
+            CString::new("shell")?.as_c_str(),
+        )?;
         shell
             .getattr("run_pyspark_shell")?
             .call((server_port,), None)?;
diff --git a/crates/sail-execution/src/codec.rs b/crates/sail-execution/src/codec.rs
index 9e159505..db137bfd 100644
--- a/crates/sail-execution/src/codec.rs
+++ b/crates/sail-execution/src/codec.rs
@@ -6,16 +6,20 @@ use datafusion::arrow::datatypes::{DataType, Schema, TimeUnit};
 use datafusion::common::parsers::CompressionTypeVariant;
 use datafusion::common::{plan_datafusion_err, plan_err, JoinSide, Result};
 use datafusion::datasource::file_format::file_compression_type::FileCompressionType;
+#[allow(deprecated)]
 use datafusion::datasource::physical_plan::{ArrowExec, NdJsonExec};
+use datafusion::datasource::physical_plan::{ArrowSource, JsonSource};
 use datafusion::execution::FunctionRegistry;
 use datafusion::functions::string::overlay::OverlayFunc;
 use datafusion::logical_expr::{AggregateUDF, AggregateUDFImpl, ScalarUDF, ScalarUDFImpl};
 use datafusion::physical_expr::LexOrdering;
 use datafusion::physical_plan::joins::utils::{ColumnIndex, JoinFilter};
 use datafusion::physical_plan::joins::SortMergeJoinExec;
+#[allow(deprecated)]
 use datafusion::physical_plan::memory::MemoryExec;
 use datafusion::physical_plan::recursive_query::RecursiveQueryExec;
 use datafusion::physical_plan::sorts::partial_sort::PartialSortExec;
+#[allow(deprecated)]
 use datafusion::physical_plan::values::ValuesExec;
 use datafusion::physical_plan::work_table::WorkTableExec;
 use datafusion::physical_plan::{ExecutionPlan, Partitioning};
@@ -226,6 +230,7 @@ impl PhysicalExtensionCodec for RemoteExecutionCodec {
                 let sort_information =
                     self.try_decode_lex_orderings(&sort_information, registry, &schema)?;
                 Ok(Arc::new(
+                    #[allow(deprecated)]
                     MemoryExec::try_new(&partitions, Arc::new(schema), projection)?
                         .with_show_sizes(show_sizes)
                         .try_with_sort_information(sort_information)?,
@@ -234,6 +239,7 @@ impl PhysicalExtensionCodec for RemoteExecutionCodec {
             NodeKind::Values(gen::ValuesExecNode { data, schema }) => {
                 let schema = self.try_decode_schema(&schema)?;
                 let data = read_record_batches(&data)?;
+                #[allow(deprecated)]
                 Ok(Arc::new(ValuesExec::try_new_from_batches(
                     Arc::new(schema),
                     data,
@@ -247,9 +253,11 @@ impl PhysicalExtensionCodec for RemoteExecutionCodec {
                     &self.try_decode_message(&base_config)?,
                     registry,
                     self,
+                    Arc::new(JsonSource::new()), // TODO: Look into configuring this if needed
                 )?;
                 let file_compression_type: FileCompressionType =
                     self.try_decode_file_compression_type(file_compression_type)?;
+                #[allow(deprecated)]
                 Ok(Arc::new(NdJsonExec::new(
                     base_config,
                     file_compression_type,
@@ -260,7 +268,9 @@ impl PhysicalExtensionCodec for RemoteExecutionCodec {
                     &self.try_decode_message(&base_config)?,
                     registry,
                     self,
+                    Arc::new(ArrowSource::default()), // TODO: Look into configuring this if needed
                 )?;
+                #[allow(deprecated)]
                 Ok(Arc::new(ArrowExec::new(base_config)))
             }
             NodeKind::WorkTable(gen::WorkTableExecNode { name, schema }) => {
@@ -334,7 +344,11 @@ impl PhysicalExtensionCodec for RemoteExecutionCodec {
                             })
                         })
                         .collect::<Result<Vec<_>>>()?;
-                    Some(JoinFilter::new(expression, column_indices, schema))
+                    Some(JoinFilter::new(
+                        expression,
+                        column_indices,
+                        Arc::new(schema),
+                    ))
                 } else {
                     None
                 };
@@ -364,6 +378,7 @@ impl PhysicalExtensionCodec for RemoteExecutionCodec {
     }
 
     fn try_encode(&self, node: Arc<dyn ExecutionPlan>, buf: &mut Vec<u8>) -> Result<()> {
+        #[allow(deprecated)]
         let node_kind = if let Some(range) = node.as_any().downcast_ref::<RangeExec>() {
             let schema = self.try_encode_schema(range.schema().as_ref())?;
             NodeKind::Range(gen::RangeExecNode {
diff --git a/crates/sail-plan/src/extension/function/spark_array.rs b/crates/sail-plan/src/extension/function/spark_array.rs
index f6043b3a..958d62ea 100644
--- a/crates/sail-plan/src/extension/function/spark_array.rs
+++ b/crates/sail-plan/src/extension/function/spark_array.rs
@@ -9,9 +9,11 @@ use datafusion::arrow::array::{
 use datafusion::arrow::buffer::OffsetBuffer;
 use datafusion::arrow::datatypes::{DataType, Field};
 use datafusion_common::utils::SingleRowListArrayBuilder;
-use datafusion_common::{internal_err, plan_err, ExprSchema, Result};
+use datafusion_common::{internal_err, plan_err, Result};
 use datafusion_expr::type_coercion::binary::comparison_coercion;
-use datafusion_expr::{ColumnarValue, Expr, ScalarUDFImpl, Signature, TypeSignature, Volatility};
+use datafusion_expr::{
+    ColumnarValue, ReturnInfo, ReturnTypeArgs, ScalarUDFImpl, Signature, TypeSignature, Volatility,
+};
 
 use crate::extension::function::functions_nested_utils::make_scalar_function;
 
@@ -75,8 +77,9 @@ impl ScalarUDFImpl for SparkArray {
         }
     }
 
-    fn is_nullable(&self, _args: &[Expr], _schema: &dyn ExprSchema) -> bool {
-        false
+    fn return_type_from_args(&self, args: ReturnTypeArgs) -> Result<ReturnInfo> {
+        let return_type = self.return_type(args.arg_types)?;
+        Ok(ReturnInfo::new_non_nullable(return_type))
     }
 
     fn invoke(&self, args: &[ColumnarValue]) -> Result<ColumnarValue> {
diff --git a/crates/sail-plan/src/extension/function/spark_concat.rs b/crates/sail-plan/src/extension/function/spark_concat.rs
index d49a6ce0..5fe4cab4 100644
--- a/crates/sail-plan/src/extension/function/spark_concat.rs
+++ b/crates/sail-plan/src/extension/function/spark_concat.rs
@@ -5,7 +5,6 @@ use datafusion::arrow::datatypes::DataType;
 use datafusion::functions::string::concat::ConcatFunc;
 use datafusion_common::utils::list_ndims;
 use datafusion_common::{plan_err, ExprSchema, Result};
-use datafusion_expr::type_coercion::binary::get_wider_type;
 use datafusion_expr::{ColumnarValue, Expr, ExprSchemable, ScalarUDFImpl, Signature, Volatility};
 use datafusion_functions_nested::concat::ArrayConcat;
 
@@ -41,7 +40,7 @@ impl ScalarUDFImpl for SparkConcat {
         &self.signature
     }
 
-    /// [Credit]: <https://github.com/apache/datafusion/blob/7b2284c8a0b49234e9607bfef10d73ef788d9458/datafusion/functions-nested/src/concat.rs#L274-L301>
+    /// [Credit]: <https://github.com/apache/datafusion/blob/7ccc6d7c55ae9dbcb7dee031f394bf11a03000ba/datafusion/functions-nested/src/concat.rs#L276-L310>
     fn return_type(&self, arg_types: &[DataType]) -> Result<DataType> {
         if arg_types
             .iter()
@@ -56,7 +55,15 @@ impl ScalarUDFImpl for SparkConcat {
                             let dims = list_ndims(arg_type);
                             expr_type = match max_dims.cmp(&dims) {
                                 Ordering::Greater => expr_type,
-                                Ordering::Equal => get_wider_type(&expr_type, arg_type)?,
+                                Ordering::Equal => {
+                                    if expr_type == DataType::Null {
+                                        arg_type.clone()
+                                    } else if !expr_type.equals_datatype(arg_type) {
+                                        return plan_err!("It is not possible to concatenate arrays of different types. Expected: {expr_type}, got: {arg_type}");
+                                    } else {
+                                        expr_type
+                                    }
+                                }
                                 Ordering::Less => {
                                     max_dims = dims;
                                     arg_type.clone()
diff --git a/crates/sail-plan/src/extension/source/rename.rs b/crates/sail-plan/src/extension/source/rename.rs
index c75bf71d..81127ca1 100644
--- a/crates/sail-plan/src/extension/source/rename.rs
+++ b/crates/sail-plan/src/extension/source/rename.rs
@@ -49,13 +49,22 @@ impl RenameTableProvider {
 
     fn to_inner_expr(&self, expr: &Expr) -> Result<Expr> {
         let rewrite = |e: Expr| -> Result<Transformed<Expr>> {
-            if let Expr::Column(Column { name, relation }) = e {
+            if let Expr::Column(Column {
+                name,
+                relation,
+                spans,
+            }) = e
+            {
                 let name = self
                     .names
                     .get(&name)
                     .ok_or_else(|| plan_datafusion_err!("column {name} not found"))?
                     .clone();
-                Ok(Transformed::yes(Expr::Column(Column { name, relation })))
+                Ok(Transformed::yes(Expr::Column(Column {
+                    name,
+                    relation,
+                    spans,
+                })))
             } else {
                 Ok(Transformed::no(e))
             }
diff --git a/crates/sail-python-udf/src/cereal/pyspark_udf.rs b/crates/sail-python-udf/src/cereal/pyspark_udf.rs
index 074249d6..ef03839d 100644
--- a/crates/sail-python-udf/src/cereal/pyspark_udf.rs
+++ b/crates/sail-python-udf/src/cereal/pyspark_udf.rs
@@ -1,7 +1,7 @@
 use pyo3::exceptions::PyValueError;
 use pyo3::prelude::PyAnyMethods;
 use pyo3::types::PyModule;
-use pyo3::{intern, PyObject, Python, ToPyObject};
+use pyo3::{intern, Bound, IntoPyObject, PyAny, Python};
 use sail_common::spec;
 
 use crate::cereal::{check_python_udf_version, should_write_config};
@@ -11,7 +11,7 @@ use crate::error::{PyUdfError, PyUdfResult};
 pub struct PySparkUdfPayload;
 
 impl PySparkUdfPayload {
-    pub fn load(py: Python, data: &[u8]) -> PyUdfResult<PyObject> {
+    pub fn load<'py>(py: Python<'py>, data: &[u8]) -> PyUdfResult<Bound<'py, PyAny>> {
         let (eval_type, v) = data
             .split_at_checked(size_of::<i32>())
             .ok_or_else(|| PyUdfError::invalid("missing eval_type"))?;
@@ -19,16 +19,19 @@ impl PySparkUdfPayload {
             .try_into()
             .map_err(|e| PyValueError::new_err(format!("eval_type bytes: {e}")))?;
         let eval_type = i32::from_be_bytes(eval_type);
-        let infile = PyModule::import_bound(py, intern!(py, "io"))?
+        let infile = PyModule::import(py, intern!(py, "io"))?
             .getattr(intern!(py, "BytesIO"))?
             .call1((v,))?;
-        let serializer = PyModule::import_bound(py, intern!(py, "pyspark.serializers"))?
+        let serializer = PyModule::import(py, intern!(py, "pyspark.serializers"))?
             .getattr(intern!(py, "CPickleSerializer"))?
             .call0()?;
-        let tuple = PyModule::import_bound(py, intern!(py, "pyspark.worker"))?
+        let tuple = PyModule::import(py, intern!(py, "pyspark.worker"))?
             .getattr(intern!(py, "read_udfs"))?
             .call1((serializer, infile, eval_type))?;
-        Ok(tuple.get_item(0)?.to_object(py))
+        tuple
+            .get_item(0)?
+            .into_pyobject(py)
+            .map_err(|e| PyUdfError::PythonError(e.into()))
     }
 
     pub fn build(
diff --git a/crates/sail-python-udf/src/cereal/pyspark_udtf.rs b/crates/sail-python-udf/src/cereal/pyspark_udtf.rs
index 8e7ec9fe..c3fea1c2 100644
--- a/crates/sail-python-udf/src/cereal/pyspark_udtf.rs
+++ b/crates/sail-python-udf/src/cereal/pyspark_udtf.rs
@@ -3,7 +3,7 @@ use datafusion::arrow::pyarrow::ToPyArrow;
 use pyo3::exceptions::PyValueError;
 use pyo3::prelude::PyAnyMethods;
 use pyo3::types::PyModule;
-use pyo3::{intern, PyObject, PyResult, Python, ToPyObject};
+use pyo3::{intern, Bound, IntoPyObject, PyAny, PyResult, Python};
 use sail_common::spec;
 
 use crate::cereal::{check_python_udf_version, should_write_config};
@@ -13,7 +13,7 @@ use crate::error::{PyUdfError, PyUdfResult};
 pub struct PySparkUdtfPayload;
 
 impl PySparkUdtfPayload {
-    pub fn load(py: Python, v: &[u8]) -> PyUdfResult<PyObject> {
+    pub fn load<'py>(py: Python<'py>, v: &[u8]) -> PyUdfResult<Bound<'py, PyAny>> {
         let (eval_type, v) = v
             .split_at_checked(size_of::<i32>())
             .ok_or_else(|| PyUdfError::invalid("missing eval_type"))?;
@@ -21,16 +21,19 @@ impl PySparkUdtfPayload {
             .try_into()
             .map_err(|e| PyValueError::new_err(format!("eval_type bytes: {e}")))?;
         let eval_type = i32::from_be_bytes(eval_type);
-        let infile = PyModule::import_bound(py, intern!(py, "io"))?
+        let infile = PyModule::import(py, intern!(py, "io"))?
             .getattr(intern!(py, "BytesIO"))?
             .call1((v,))?;
-        let serializer = PyModule::import_bound(py, intern!(py, "pyspark.serializers"))?
+        let serializer = PyModule::import(py, intern!(py, "pyspark.serializers"))?
             .getattr(intern!(py, "CPickleSerializer"))?
             .call0()?;
-        let tuple = PyModule::import_bound(py, intern!(py, "pyspark.worker"))?
+        let tuple = PyModule::import(py, intern!(py, "pyspark.worker"))?
             .getattr(intern!(py, "read_udtf"))?
             .call1((serializer, infile, eval_type))?;
-        Ok(tuple.get_item(0)?.to_object(py))
+        tuple
+            .get_item(0)?
+            .into_pyobject(py)
+            .map_err(|e| PyUdfError::PythonError(e.into()))
     }
 
     pub fn build(
@@ -70,7 +73,7 @@ impl PySparkUdtfPayload {
 
         let type_string = Python::with_gil(|py| -> PyResult<String> {
             let return_type = return_type.to_pyarrow(py)?.clone_ref(py).into_bound(py);
-            PyModule::import_bound(py, intern!(py, "pyspark.sql.pandas.types"))?
+            PyModule::import(py, intern!(py, "pyspark.sql.pandas.types"))?
                 .getattr(intern!(py, "from_arrow_type"))?
                 .call1((return_type,))?
                 .getattr(intern!(py, "json"))?
diff --git a/crates/sail-python-udf/src/conversion.rs b/crates/sail-python-udf/src/conversion.rs
index 08edf6ac..3b7e6989 100644
--- a/crates/sail-python-udf/src/conversion.rs
+++ b/crates/sail-python-udf/src/conversion.rs
@@ -2,58 +2,90 @@ use datafusion::arrow::array::{Array, ArrayRef, RecordBatch};
 use datafusion::arrow::datatypes::{DataType, Schema, SchemaRef};
 use datafusion::arrow::pyarrow::{FromPyArrow, ToPyArrow};
 use datafusion_common::arrow::array::ArrayData;
-use pyo3::{IntoPy, PyObject, PyResult, Python};
+use pyo3::{Bound, BoundObject, IntoPyObject, PyAny, PyErr, PyObject, PyResult, Python};
 
 /// A trait that defines the custom behavior of converting Rust data to a Python object.
-pub trait TryToPy {
-    fn try_to_py(&self, py: Python) -> PyResult<PyObject>;
+pub trait TryToPy<'py> {
+    type Target;
+    type Output: BoundObject<'py, Self::Target>;
+    type Error: Into<PyErr>;
+
+    fn try_to_py(&self, py: Python<'py>) -> Result<Self::Output, Self::Error>;
 }
 
-impl TryToPy for &DataType {
-    fn try_to_py(&self, py: Python) -> PyResult<PyObject> {
-        self.to_pyarrow(py)
+impl<'py> TryToPy<'py> for &DataType {
+    type Target = PyAny;
+    type Output = Bound<'py, Self::Target>;
+    type Error = PyErr;
+
+    fn try_to_py(&self, py: Python<'py>) -> Result<Self::Output, Self::Error> {
+        self.to_pyarrow(py).map(|obj| obj.into_bound(py))
     }
 }
 
-impl TryToPy for &[DataType] {
-    fn try_to_py(&self, py: Python) -> PyResult<PyObject> {
+impl<'py> TryToPy<'py> for &[DataType] {
+    type Target = PyAny;
+    type Output = Bound<'py, Self::Target>;
+    type Error = PyErr;
+
+    fn try_to_py(&self, py: Python<'py>) -> Result<Self::Output, Self::Error> {
         self.iter()
             .map(|x| x.to_pyarrow(py))
             .collect::<PyResult<Vec<_>>>()
-            .map(|x| x.into_py(py))
+            .map(|x| x.into_pyobject(py))?
     }
 }
 
-impl TryToPy for &[ArrayRef] {
-    fn try_to_py(&self, py: Python) -> PyResult<PyObject> {
+impl<'py> TryToPy<'py> for &[ArrayRef] {
+    type Target = PyAny;
+    type Output = Bound<'py, Self::Target>;
+    type Error = PyErr;
+
+    fn try_to_py(&self, py: Python<'py>) -> Result<Self::Output, Self::Error> {
         self.iter()
             .map(|x| x.into_data().to_pyarrow(py))
             .collect::<PyResult<Vec<_>>>()
-            .map(|x| x.into_py(py))
+            .map(|x| x.into_pyobject(py))?
     }
 }
 
-impl TryToPy for Vec<ArrayRef> {
-    fn try_to_py(&self, py: Python) -> PyResult<PyObject> {
+impl<'py> TryToPy<'py> for Vec<ArrayRef> {
+    type Target = PyAny;
+    type Output = Bound<'py, Self::Target>;
+    type Error = PyErr;
+
+    fn try_to_py(&self, py: Python<'py>) -> Result<Self::Output, Self::Error> {
         self.as_slice().try_to_py(py)
     }
 }
 
-impl TryToPy for &Schema {
-    fn try_to_py(&self, py: Python) -> PyResult<PyObject> {
-        self.to_pyarrow(py)
+impl<'py> TryToPy<'py> for &Schema {
+    type Target = PyAny;
+    type Output = Bound<'py, Self::Target>;
+    type Error = PyErr;
+
+    fn try_to_py(&self, py: Python<'py>) -> Result<Self::Output, Self::Error> {
+        self.to_pyarrow(py).map(|obj| obj.into_bound(py))
     }
 }
 
-impl TryToPy for SchemaRef {
-    fn try_to_py(&self, py: Python) -> PyResult<PyObject> {
-        self.to_pyarrow(py)
+impl<'py> TryToPy<'py> for SchemaRef {
+    type Target = PyAny;
+    type Output = Bound<'py, Self::Target>;
+    type Error = PyErr;
+
+    fn try_to_py(&self, py: Python<'py>) -> Result<Self::Output, Self::Error> {
+        self.to_pyarrow(py).map(|obj| obj.into_bound(py))
     }
 }
 
-impl TryToPy for RecordBatch {
-    fn try_to_py(&self, py: Python) -> PyResult<PyObject> {
-        self.to_pyarrow(py)
+impl<'py> TryToPy<'py> for RecordBatch {
+    type Target = PyAny;
+    type Output = Bound<'py, Self::Target>;
+    type Error = PyErr;
+
+    fn try_to_py(&self, py: Python<'py>) -> Result<Self::Output, Self::Error> {
+        self.to_pyarrow(py).map(|obj| obj.into_bound(py))
     }
 }
 
diff --git a/crates/sail-python-udf/src/python/mod.rs b/crates/sail-python-udf/src/python/mod.rs
index b2b6d978..2ad67419 100644
--- a/crates/sail-python-udf/src/python/mod.rs
+++ b/crates/sail-python-udf/src/python/mod.rs
@@ -1,13 +1,17 @@
 use pyo3::prelude::{PyAnyMethods, PyModule};
 use pyo3::types::{PyString, PyTuple};
-use pyo3::{intern, Bound, IntoPy, Py, PyAny, PyResult};
+use pyo3::{intern, Bound, IntoPyObject, PyAny, PyResult};
 
 pub(crate) mod spark;
 
-fn py_init_object<C, A>(module: Bound<PyModule>, class: C, args: A) -> PyResult<Bound<PyAny>>
+fn py_init_object<'py, C, A>(
+    module: Bound<'py, PyModule>,
+    class: C,
+    args: A,
+) -> PyResult<Bound<'py, PyAny>>
 where
-    C: IntoPy<Py<PyString>>,
-    A: IntoPy<Py<PyTuple>>,
+    C: IntoPyObject<'py, Target = PyString>,
+    A: IntoPyObject<'py, Target = PyTuple>,
 {
     let py = module.py();
     let cls = module.getattr(class)?;
diff --git a/crates/sail-python-udf/src/python/spark.rs b/crates/sail-python-udf/src/python/spark.rs
index 6fd5121e..eaad389d 100644
--- a/crates/sail-python-udf/src/python/spark.rs
+++ b/crates/sail-python-udf/src/python/spark.rs
@@ -1,7 +1,9 @@
+use std::ffi::CString;
+
 use datafusion::arrow::datatypes::{DataType, SchemaRef};
 use pyo3::prelude::PyModule;
 use pyo3::sync::GILOnceCell;
-use pyo3::{intern, Bound, Py, PyAny, PyObject, PyResult, Python};
+use pyo3::{intern, Bound, Py, PyAny, PyResult, Python};
 
 use crate::config::PySparkUdfConfig;
 use crate::conversion::TryToPy;
@@ -19,11 +21,11 @@ impl PySpark {
 
         Ok(MODULE
             .get_or_try_init(py, || -> PyResult<_> {
-                Ok(PyModule::from_code_bound(
+                Ok(PyModule::from_code(
                     py,
-                    MODULE_SOURCE_CODE,
-                    MODULE_FILE_NAME,
-                    MODULE_NAME,
+                    CString::new(MODULE_SOURCE_CODE)?.as_c_str(),
+                    CString::new(MODULE_FILE_NAME)?.as_c_str(),
+                    CString::new(MODULE_NAME)?.as_c_str(),
                 )?
                 .unbind())
             })?
@@ -33,7 +35,7 @@ impl PySpark {
 
     pub fn batch_udf<'py>(
         py: Python<'py>,
-        udf: PyObject,
+        udf: Bound<'py, PyAny>,
         input_types: &[DataType],
         output_type: &DataType,
         _config: &PySparkUdfConfig,
@@ -47,7 +49,7 @@ impl PySpark {
 
     pub fn arrow_batch_udf<'py>(
         py: Python<'py>,
-        udf: PyObject,
+        udf: Bound<'py, PyAny>,
         config: &PySparkUdfConfig,
     ) -> PyResult<Bound<'py, PyAny>> {
         py_init_object(
@@ -59,7 +61,7 @@ impl PySpark {
 
     pub fn scalar_pandas_udf<'py>(
         py: Python<'py>,
-        udf: PyObject,
+        udf: Bound<'py, PyAny>,
         config: &PySparkUdfConfig,
     ) -> PyResult<Bound<'py, PyAny>> {
         py_init_object(
@@ -71,7 +73,7 @@ impl PySpark {
 
     pub fn scalar_pandas_iter_udf<'py>(
         py: Python<'py>,
-        udf: PyObject,
+        udf: Bound<'py, PyAny>,
         config: &PySparkUdfConfig,
     ) -> PyResult<Bound<'py, PyAny>> {
         py_init_object(
@@ -83,7 +85,7 @@ impl PySpark {
 
     pub fn group_agg_udf<'py>(
         py: Python<'py>,
-        udf: PyObject,
+        udf: Bound<'py, PyAny>,
         input_names: Vec<String>,
         config: &PySparkUdfConfig,
     ) -> PyResult<Bound<'py, PyAny>> {
@@ -96,7 +98,7 @@ impl PySpark {
 
     pub fn group_map_udf<'py>(
         py: Python<'py>,
-        udf: PyObject,
+        udf: Bound<'py, PyAny>,
         input_names: Vec<String>,
         config: &PySparkUdfConfig,
     ) -> PyResult<Bound<'py, PyAny>> {
@@ -109,7 +111,7 @@ impl PySpark {
 
     pub fn cogroup_map_udf<'py>(
         py: Python<'py>,
-        udf: PyObject,
+        udf: Bound<'py, PyAny>,
         left_names: Vec<String>,
         right_names: Vec<String>,
         config: &PySparkUdfConfig,
@@ -123,7 +125,7 @@ impl PySpark {
 
     pub fn map_pandas_iter_udf<'py>(
         py: Python<'py>,
-        udf: PyObject,
+        udf: Bound<'py, PyAny>,
         config: &PySparkUdfConfig,
     ) -> PyResult<Bound<'py, PyAny>> {
         py_init_object(
@@ -135,7 +137,7 @@ impl PySpark {
 
     pub fn map_arrow_iter_udf<'py>(
         py: Python<'py>,
-        udf: PyObject,
+        udf: Bound<'py, PyAny>,
         _config: &PySparkUdfConfig,
     ) -> PyResult<Bound<'py, PyAny>> {
         py_init_object(
@@ -147,7 +149,7 @@ impl PySpark {
 
     pub fn table_udf<'py>(
         py: Python<'py>,
-        udf: PyObject,
+        udf: Bound<'py, PyAny>,
         input_types: &[DataType],
         passthrough_columns: usize,
         output_schema: &SchemaRef,
@@ -168,7 +170,7 @@ impl PySpark {
 
     pub fn arrow_table_udf<'py>(
         py: Python<'py>,
-        udf: PyObject,
+        udf: Bound<'py, PyAny>,
         input_names: &[String],
         passthrough_columns: usize,
         output_schema: &SchemaRef,
diff --git a/crates/sail-python-udf/src/stream.rs b/crates/sail-python-udf/src/stream.rs
index 7755f46b..056ddf09 100644
--- a/crates/sail-python-udf/src/stream.rs
+++ b/crates/sail-python-udf/src/stream.rs
@@ -11,7 +11,7 @@ use datafusion_common::{exec_err, DataFusionError, Result};
 use futures::{Stream, StreamExt};
 use pyo3::exceptions::{PyRuntimeError, PyStopIteration};
 use pyo3::prelude::PyAnyMethods;
-use pyo3::{pyclass, pymethods, IntoPy, PyObject, PyRef, PyRefMut, PyResult, Python};
+use pyo3::{pyclass, pymethods, IntoPyObject, PyObject, PyRef, PyRefMut, PyResult, Python};
 use sail_common::utils::record_batch_with_schema;
 use tokio::runtime::Handle;
 use tokio::select;
@@ -153,9 +153,9 @@ impl PyMapStream {
         // for each record batch, but that does not work if the user wants to maintain state
         // across record batches.
         let input = PyInputStream::new(input, signal, handle);
-        let input = input.into_py(py);
+        let input = input.into_pyobject(py)?;
         let output = function.call1(py, (input,))?.into_bound(py);
-        for batch in output.iter()? {
+        for batch in output.try_iter()? {
             // Ignore empty record batches since the PySpark unit tests expect them to be ignored
             // even if they have incompatible schemas.
             if batch.as_ref().is_ok_and(|x| x.is_empty().unwrap_or(false)) {
diff --git a/crates/sail-python/src/spark/mod.rs b/crates/sail-python/src/spark/mod.rs
index 21cd5c09..4a6c2651 100644
--- a/crates/sail-python/src/spark/mod.rs
+++ b/crates/sail-python/src/spark/mod.rs
@@ -3,7 +3,7 @@ use pyo3::prelude::*;
 pub(crate) mod server;
 
 pub(super) fn register_module(parent: &Bound<'_, PyModule>) -> PyResult<()> {
-    let module = PyModule::new_bound(parent.py(), "spark")?;
+    let module = PyModule::new(parent.py(), "spark")?;
     module.add_class::<server::SparkConnectServer>()?;
     parent.add_submodule(&module)?;
     Ok(())
diff --git a/crates/sail-spark-connect/src/error.rs b/crates/sail-spark-connect/src/error.rs
index 5a2afc82..00ee7e4d 100644
--- a/crates/sail-spark-connect/src/error.rs
+++ b/crates/sail-spark-connect/src/error.rs
@@ -283,25 +283,12 @@ impl From<SparkError> for Status {
                 ArrowError::ExternalError(e),
                 _,
             ))
-            | SparkError::DataFusionError(DataFusionError::External(e)) => {
-                if let Some(e) = extract_py_err(e.as_ref()) {
-                    let info = Python::with_gil(|py| -> PyResult<Vec<String>> {
-                        let traceback = PyModule::import_bound(py, intern!(py, "traceback"))?;
-                        let format_exception =
-                            traceback.getattr(intern!(py, "format_exception"))?;
-                        format_exception.call1((e,))?.extract()
-                    });
-                    // The message must end with a newline character
-                    // since the PySpark unit tests expect it.
-                    let message = if let Ok(info) = info {
-                        // Each line string already ends with a newline character.
-                        info.join("")
-                    } else {
-                        format!("{e}\n")
-                    };
-                    SparkThrowable::PythonException(message).into()
+            | SparkError::DataFusionError(DataFusionError::External(e)) => try_py_err(e.as_ref()),
+            SparkError::DataFusionError(DataFusionError::Shared(shared)) => {
+                if let DataFusionError::External(e) = shared.as_ref() {
+                    try_py_err(e.as_ref())
                 } else {
-                    SparkThrowable::SparkRuntimeException(e.to_string()).into()
+                    SparkThrowable::SparkRuntimeException(shared.to_string()).into()
                 }
             }
             SparkError::ArrowError(e)
@@ -358,6 +345,27 @@ impl From<SparkError> for Status {
     }
 }
 
+fn try_py_err<'a>(e: &'a (dyn std::error::Error + 'static)) -> Status {
+    if let Some(e) = extract_py_err(e) {
+        let info = Python::with_gil(|py| -> PyResult<Vec<String>> {
+            let traceback = PyModule::import(py, intern!(py, "traceback"))?;
+            let format_exception = traceback.getattr(intern!(py, "format_exception"))?;
+            format_exception.call1((e,))?.extract()
+        });
+        // The message must end with a newline character
+        // since the PySpark unit tests expect it.
+        let message = if let Ok(info) = info {
+            // Each line string already ends with a newline character.
+            info.join("")
+        } else {
+            format!("{e}\n")
+        };
+        SparkThrowable::PythonException(message).into()
+    } else {
+        SparkThrowable::SparkRuntimeException(e.to_string()).into()
+    }
+}
+
 fn extract_py_err<'a>(e: &'a (dyn std::error::Error + 'static)) -> Option<&'a PyErr> {
     if let Some(e) = e.downcast_ref::<PyErr>() {
         Some(e)
diff --git a/crates/sail-spark-connect/tests/gold_data/function/agg.json b/crates/sail-spark-connect/tests/gold_data/function/agg.json
index 4bf8ce58..08875b7c 100644
--- a/crates/sail-spark-connect/tests/gold_data/function/agg.json
+++ b/crates/sail-spark-connect/tests/gold_data/function/agg.json
@@ -195,7 +195,7 @@
         }
       },
       "output": {
-        "failure": "error in DataFusion: Error during planning: Error during planning: Failed to coerce arguments to satisfy a call to approx_percentile_cont function: coercion from [Interval(YearMonth), Decimal128(1, 1), Int32] to the signature OneOf([Exact([Int8, Float64]), Exact([Int8, Float64, Int8]), Exact([Int8, Float64, Int16]), Exact([Int8, Float64, Int32]), Exact([Int8, Float64, Int64]), Exact([Int8, Float64, UInt8]), Exact([Int8, Float64, UInt16]), Exact([Int8, Float64, UInt32]), Exact([Int8, Float64, UInt64]), Exact([Int16, Float64]), Exact([Int16, Float64, Int8]), Exact([Int16, Float64, Int16]), Exact([Int16, Float64, Int32]), Exact([Int16, Float64, Int64]), Exact([Int16, Float64, UInt8]), Exact([Int16, Float64, UInt16]), Exact([Int16, Float64, UInt32]), Exact([Int16, Float64, UInt64]), Exact([Int32, Float64]), Exact([Int32, Float64, Int8]), Exact([Int32, Float64, Int16]), Exact([Int32, Float64, Int32]), Exact([Int32, Float64, Int64]), Exact([Int32, Float64, UInt8]), Exact([Int32, Float64, UInt16]), Exact([Int32, Float64, UInt32]), Exact([Int32, Float64, UInt64]), Exact([Int64, Float64]), Exact([Int64, Float64, Int8]), Exact([Int64, Float64, Int16]), Exact([Int64, Float64, Int32]), Exact([Int64, Float64, Int64]), Exact([Int64, Float64, UInt8]), Exact([Int64, Float64, UInt16]), Exact([Int64, Float64, UInt32]), Exact([Int64, Float64, UInt64]), Exact([UInt8, Float64]), Exact([UInt8, Float64, Int8]), Exact([UInt8, Float64, Int16]), Exact([UInt8, Float64, Int32]), Exact([UInt8, Float64, Int64]), Exact([UInt8, Float64, UInt8]), Exact([UInt8, Float64, UInt16]), Exact([UInt8, Float64, UInt32]), Exact([UInt8, Float64, UInt64]), Exact([UInt16, Float64]), Exact([UInt16, Float64, Int8]), Exact([UInt16, Float64, Int16]), Exact([UInt16, Float64, Int32]), Exact([UInt16, Float64, Int64]), Exact([UInt16, Float64, UInt8]), Exact([UInt16, Float64, UInt16]), Exact([UInt16, Float64, UInt32]), Exact([UInt16, Float64, UInt64]), Exact([UInt32, Float64]), Exact([UInt32, Float64, Int8]), Exact([UInt32, Float64, Int16]), Exact([UInt32, Float64, Int32]), Exact([UInt32, Float64, Int64]), Exact([UInt32, Float64, UInt8]), Exact([UInt32, Float64, UInt16]), Exact([UInt32, Float64, UInt32]), Exact([UInt32, Float64, UInt64]), Exact([UInt64, Float64]), Exact([UInt64, Float64, Int8]), Exact([UInt64, Float64, Int16]), Exact([UInt64, Float64, Int32]), Exact([UInt64, Float64, Int64]), Exact([UInt64, Float64, UInt8]), Exact([UInt64, Float64, UInt16]), Exact([UInt64, Float64, UInt32]), Exact([UInt64, Float64, UInt64]), Exact([Float32, Float64]), Exact([Float32, Float64, Int8]), Exact([Float32, Float64, Int16]), Exact([Float32, Float64, Int32]), Exact([Float32, Float64, Int64]), Exact([Float32, Float64, UInt8]), Exact([Float32, Float64, UInt16]), Exact([Float32, Float64, UInt32]), Exact([Float32, Float64, UInt64]), Exact([Float64, Float64]), Exact([Float64, Float64, Int8]), Exact([Float64, Float64, Int16]), Exact([Float64, Float64, Int32]), Exact([Float64, Float64, Int64]), Exact([Float64, Float64, UInt8]), Exact([Float64, Float64, UInt16]), Exact([Float64, Float64, UInt32]), Exact([Float64, Float64, UInt64])]) failed. No function matches the given name and argument types 'approx_percentile_cont(Interval(YearMonth), Decimal128(1, 1), Int32)'. You might need to add explicit type casts.\n\tCandidate functions:\n\tapprox_percentile_cont(Int8, Float64)\n\tapprox_percentile_cont(Int8, Float64, Int8)\n\tapprox_percentile_cont(Int8, Float64, Int16)\n\tapprox_percentile_cont(Int8, Float64, Int32)\n\tapprox_percentile_cont(Int8, Float64, Int64)\n\tapprox_percentile_cont(Int8, Float64, UInt8)\n\tapprox_percentile_cont(Int8, Float64, UInt16)\n\tapprox_percentile_cont(Int8, Float64, UInt32)\n\tapprox_percentile_cont(Int8, Float64, UInt64)\n\tapprox_percentile_cont(Int16, Float64)\n\tapprox_percentile_cont(Int16, Float64, Int8)\n\tapprox_percentile_cont(Int16, Float64, Int16)\n\tapprox_percentile_cont(Int16, Float64, Int32)\n\tapprox_percentile_cont(Int16, Float64, Int64)\n\tapprox_percentile_cont(Int16, Float64, UInt8)\n\tapprox_percentile_cont(Int16, Float64, UInt16)\n\tapprox_percentile_cont(Int16, Float64, UInt32)\n\tapprox_percentile_cont(Int16, Float64, UInt64)\n\tapprox_percentile_cont(Int32, Float64)\n\tapprox_percentile_cont(Int32, Float64, Int8)\n\tapprox_percentile_cont(Int32, Float64, Int16)\n\tapprox_percentile_cont(Int32, Float64, Int32)\n\tapprox_percentile_cont(Int32, Float64, Int64)\n\tapprox_percentile_cont(Int32, Float64, UInt8)\n\tapprox_percentile_cont(Int32, Float64, UInt16)\n\tapprox_percentile_cont(Int32, Float64, UInt32)\n\tapprox_percentile_cont(Int32, Float64, UInt64)\n\tapprox_percentile_cont(Int64, Float64)\n\tapprox_percentile_cont(Int64, Float64, Int8)\n\tapprox_percentile_cont(Int64, Float64, Int16)\n\tapprox_percentile_cont(Int64, Float64, Int32)\n\tapprox_percentile_cont(Int64, Float64, Int64)\n\tapprox_percentile_cont(Int64, Float64, UInt8)\n\tapprox_percentile_cont(Int64, Float64, UInt16)\n\tapprox_percentile_cont(Int64, Float64, UInt32)\n\tapprox_percentile_cont(Int64, Float64, UInt64)\n\tapprox_percentile_cont(UInt8, Float64)\n\tapprox_percentile_cont(UInt8, Float64, Int8)\n\tapprox_percentile_cont(UInt8, Float64, Int16)\n\tapprox_percentile_cont(UInt8, Float64, Int32)\n\tapprox_percentile_cont(UInt8, Float64, Int64)\n\tapprox_percentile_cont(UInt8, Float64, UInt8)\n\tapprox_percentile_cont(UInt8, Float64, UInt16)\n\tapprox_percentile_cont(UInt8, Float64, UInt32)\n\tapprox_percentile_cont(UInt8, Float64, UInt64)\n\tapprox_percentile_cont(UInt16, Float64)\n\tapprox_percentile_cont(UInt16, Float64, Int8)\n\tapprox_percentile_cont(UInt16, Float64, Int16)\n\tapprox_percentile_cont(UInt16, Float64, Int32)\n\tapprox_percentile_cont(UInt16, Float64, Int64)\n\tapprox_percentile_cont(UInt16, Float64, UInt8)\n\tapprox_percentile_cont(UInt16, Float64, UInt16)\n\tapprox_percentile_cont(UInt16, Float64, UInt32)\n\tapprox_percentile_cont(UInt16, Float64, UInt64)\n\tapprox_percentile_cont(UInt32, Float64)\n\tapprox_percentile_cont(UInt32, Float64, Int8)\n\tapprox_percentile_cont(UInt32, Float64, Int16)\n\tapprox_percentile_cont(UInt32, Float64, Int32)\n\tapprox_percentile_cont(UInt32, Float64, Int64)\n\tapprox_percentile_cont(UInt32, Float64, UInt8)\n\tapprox_percentile_cont(UInt32, Float64, UInt16)\n\tapprox_percentile_cont(UInt32, Float64, UInt32)\n\tapprox_percentile_cont(UInt32, Float64, UInt64)\n\tapprox_percentile_cont(UInt64, Float64)\n\tapprox_percentile_cont(UInt64, Float64, Int8)\n\tapprox_percentile_cont(UInt64, Float64, Int16)\n\tapprox_percentile_cont(UInt64, Float64, Int32)\n\tapprox_percentile_cont(UInt64, Float64, Int64)\n\tapprox_percentile_cont(UInt64, Float64, UInt8)\n\tapprox_percentile_cont(UInt64, Float64, UInt16)\n\tapprox_percentile_cont(UInt64, Float64, UInt32)\n\tapprox_percentile_cont(UInt64, Float64, UInt64)\n\tapprox_percentile_cont(Float32, Float64)\n\tapprox_percentile_cont(Float32, Float64, Int8)\n\tapprox_percentile_cont(Float32, Float64, Int16)\n\tapprox_percentile_cont(Float32, Float64, Int32)\n\tapprox_percentile_cont(Float32, Float64, Int64)\n\tapprox_percentile_cont(Float32, Float64, UInt8)\n\tapprox_percentile_cont(Float32, Float64, UInt16)\n\tapprox_percentile_cont(Float32, Float64, UInt32)\n\tapprox_percentile_cont(Float32, Float64, UInt64)\n\tapprox_percentile_cont(Float64, Float64)\n\tapprox_percentile_cont(Float64, Float64, Int8)\n\tapprox_percentile_cont(Float64, Float64, Int16)\n\tapprox_percentile_cont(Float64, Float64, Int32)\n\tapprox_percentile_cont(Float64, Float64, Int64)\n\tapprox_percentile_cont(Float64, Float64, UInt8)\n\tapprox_percentile_cont(Float64, Float64, UInt16)\n\tapprox_percentile_cont(Float64, Float64, UInt32)\n\tapprox_percentile_cont(Float64, Float64, UInt64)"
+        "failure": "error in DataFusion: Error during planning: Failed to coerce arguments to satisfy a call to 'approx_percentile_cont' function: coercion from [Interval(YearMonth), Decimal128(1, 1), Int32] to the signature OneOf([Exact([Int8, Float64]), Exact([Int8, Float64, Int8]), Exact([Int8, Float64, Int16]), Exact([Int8, Float64, Int32]), Exact([Int8, Float64, Int64]), Exact([Int8, Float64, UInt8]), Exact([Int8, Float64, UInt16]), Exact([Int8, Float64, UInt32]), Exact([Int8, Float64, UInt64]), Exact([Int16, Float64]), Exact([Int16, Float64, Int8]), Exact([Int16, Float64, Int16]), Exact([Int16, Float64, Int32]), Exact([Int16, Float64, Int64]), Exact([Int16, Float64, UInt8]), Exact([Int16, Float64, UInt16]), Exact([Int16, Float64, UInt32]), Exact([Int16, Float64, UInt64]), Exact([Int32, Float64]), Exact([Int32, Float64, Int8]), Exact([Int32, Float64, Int16]), Exact([Int32, Float64, Int32]), Exact([Int32, Float64, Int64]), Exact([Int32, Float64, UInt8]), Exact([Int32, Float64, UInt16]), Exact([Int32, Float64, UInt32]), Exact([Int32, Float64, UInt64]), Exact([Int64, Float64]), Exact([Int64, Float64, Int8]), Exact([Int64, Float64, Int16]), Exact([Int64, Float64, Int32]), Exact([Int64, Float64, Int64]), Exact([Int64, Float64, UInt8]), Exact([Int64, Float64, UInt16]), Exact([Int64, Float64, UInt32]), Exact([Int64, Float64, UInt64]), Exact([UInt8, Float64]), Exact([UInt8, Float64, Int8]), Exact([UInt8, Float64, Int16]), Exact([UInt8, Float64, Int32]), Exact([UInt8, Float64, Int64]), Exact([UInt8, Float64, UInt8]), Exact([UInt8, Float64, UInt16]), Exact([UInt8, Float64, UInt32]), Exact([UInt8, Float64, UInt64]), Exact([UInt16, Float64]), Exact([UInt16, Float64, Int8]), Exact([UInt16, Float64, Int16]), Exact([UInt16, Float64, Int32]), Exact([UInt16, Float64, Int64]), Exact([UInt16, Float64, UInt8]), Exact([UInt16, Float64, UInt16]), Exact([UInt16, Float64, UInt32]), Exact([UInt16, Float64, UInt64]), Exact([UInt32, Float64]), Exact([UInt32, Float64, Int8]), Exact([UInt32, Float64, Int16]), Exact([UInt32, Float64, Int32]), Exact([UInt32, Float64, Int64]), Exact([UInt32, Float64, UInt8]), Exact([UInt32, Float64, UInt16]), Exact([UInt32, Float64, UInt32]), Exact([UInt32, Float64, UInt64]), Exact([UInt64, Float64]), Exact([UInt64, Float64, Int8]), Exact([UInt64, Float64, Int16]), Exact([UInt64, Float64, Int32]), Exact([UInt64, Float64, Int64]), Exact([UInt64, Float64, UInt8]), Exact([UInt64, Float64, UInt16]), Exact([UInt64, Float64, UInt32]), Exact([UInt64, Float64, UInt64]), Exact([Float32, Float64]), Exact([Float32, Float64, Int8]), Exact([Float32, Float64, Int16]), Exact([Float32, Float64, Int32]), Exact([Float32, Float64, Int64]), Exact([Float32, Float64, UInt8]), Exact([Float32, Float64, UInt16]), Exact([Float32, Float64, UInt32]), Exact([Float32, Float64, UInt64]), Exact([Float64, Float64]), Exact([Float64, Float64, Int8]), Exact([Float64, Float64, Int16]), Exact([Float64, Float64, Int32]), Exact([Float64, Float64, Int64]), Exact([Float64, Float64, UInt8]), Exact([Float64, Float64, UInt16]), Exact([Float64, Float64, UInt32]), Exact([Float64, Float64, UInt64])]) failed No function matches the given name and argument types 'approx_percentile_cont(Interval(YearMonth), Decimal128(1, 1), Int32)'. You might need to add explicit type casts.\n\tCandidate functions:\n\tapprox_percentile_cont(Int8, Float64)\n\tapprox_percentile_cont(Int8, Float64, Int8)\n\tapprox_percentile_cont(Int8, Float64, Int16)\n\tapprox_percentile_cont(Int8, Float64, Int32)\n\tapprox_percentile_cont(Int8, Float64, Int64)\n\tapprox_percentile_cont(Int8, Float64, UInt8)\n\tapprox_percentile_cont(Int8, Float64, UInt16)\n\tapprox_percentile_cont(Int8, Float64, UInt32)\n\tapprox_percentile_cont(Int8, Float64, UInt64)\n\tapprox_percentile_cont(Int16, Float64)\n\tapprox_percentile_cont(Int16, Float64, Int8)\n\tapprox_percentile_cont(Int16, Float64, Int16)\n\tapprox_percentile_cont(Int16, Float64, Int32)\n\tapprox_percentile_cont(Int16, Float64, Int64)\n\tapprox_percentile_cont(Int16, Float64, UInt8)\n\tapprox_percentile_cont(Int16, Float64, UInt16)\n\tapprox_percentile_cont(Int16, Float64, UInt32)\n\tapprox_percentile_cont(Int16, Float64, UInt64)\n\tapprox_percentile_cont(Int32, Float64)\n\tapprox_percentile_cont(Int32, Float64, Int8)\n\tapprox_percentile_cont(Int32, Float64, Int16)\n\tapprox_percentile_cont(Int32, Float64, Int32)\n\tapprox_percentile_cont(Int32, Float64, Int64)\n\tapprox_percentile_cont(Int32, Float64, UInt8)\n\tapprox_percentile_cont(Int32, Float64, UInt16)\n\tapprox_percentile_cont(Int32, Float64, UInt32)\n\tapprox_percentile_cont(Int32, Float64, UInt64)\n\tapprox_percentile_cont(Int64, Float64)\n\tapprox_percentile_cont(Int64, Float64, Int8)\n\tapprox_percentile_cont(Int64, Float64, Int16)\n\tapprox_percentile_cont(Int64, Float64, Int32)\n\tapprox_percentile_cont(Int64, Float64, Int64)\n\tapprox_percentile_cont(Int64, Float64, UInt8)\n\tapprox_percentile_cont(Int64, Float64, UInt16)\n\tapprox_percentile_cont(Int64, Float64, UInt32)\n\tapprox_percentile_cont(Int64, Float64, UInt64)\n\tapprox_percentile_cont(UInt8, Float64)\n\tapprox_percentile_cont(UInt8, Float64, Int8)\n\tapprox_percentile_cont(UInt8, Float64, Int16)\n\tapprox_percentile_cont(UInt8, Float64, Int32)\n\tapprox_percentile_cont(UInt8, Float64, Int64)\n\tapprox_percentile_cont(UInt8, Float64, UInt8)\n\tapprox_percentile_cont(UInt8, Float64, UInt16)\n\tapprox_percentile_cont(UInt8, Float64, UInt32)\n\tapprox_percentile_cont(UInt8, Float64, UInt64)\n\tapprox_percentile_cont(UInt16, Float64)\n\tapprox_percentile_cont(UInt16, Float64, Int8)\n\tapprox_percentile_cont(UInt16, Float64, Int16)\n\tapprox_percentile_cont(UInt16, Float64, Int32)\n\tapprox_percentile_cont(UInt16, Float64, Int64)\n\tapprox_percentile_cont(UInt16, Float64, UInt8)\n\tapprox_percentile_cont(UInt16, Float64, UInt16)\n\tapprox_percentile_cont(UInt16, Float64, UInt32)\n\tapprox_percentile_cont(UInt16, Float64, UInt64)\n\tapprox_percentile_cont(UInt32, Float64)\n\tapprox_percentile_cont(UInt32, Float64, Int8)\n\tapprox_percentile_cont(UInt32, Float64, Int16)\n\tapprox_percentile_cont(UInt32, Float64, Int32)\n\tapprox_percentile_cont(UInt32, Float64, Int64)\n\tapprox_percentile_cont(UInt32, Float64, UInt8)\n\tapprox_percentile_cont(UInt32, Float64, UInt16)\n\tapprox_percentile_cont(UInt32, Float64, UInt32)\n\tapprox_percentile_cont(UInt32, Float64, UInt64)\n\tapprox_percentile_cont(UInt64, Float64)\n\tapprox_percentile_cont(UInt64, Float64, Int8)\n\tapprox_percentile_cont(UInt64, Float64, Int16)\n\tapprox_percentile_cont(UInt64, Float64, Int32)\n\tapprox_percentile_cont(UInt64, Float64, Int64)\n\tapprox_percentile_cont(UInt64, Float64, UInt8)\n\tapprox_percentile_cont(UInt64, Float64, UInt16)\n\tapprox_percentile_cont(UInt64, Float64, UInt32)\n\tapprox_percentile_cont(UInt64, Float64, UInt64)\n\tapprox_percentile_cont(Float32, Float64)\n\tapprox_percentile_cont(Float32, Float64, Int8)\n\tapprox_percentile_cont(Float32, Float64, Int16)\n\tapprox_percentile_cont(Float32, Float64, Int32)\n\tapprox_percentile_cont(Float32, Float64, Int64)\n\tapprox_percentile_cont(Float32, Float64, UInt8)\n\tapprox_percentile_cont(Float32, Float64, UInt16)\n\tapprox_percentile_cont(Float32, Float64, UInt32)\n\tapprox_percentile_cont(Float32, Float64, UInt64)\n\tapprox_percentile_cont(Float64, Float64)\n\tapprox_percentile_cont(Float64, Float64, Int8)\n\tapprox_percentile_cont(Float64, Float64, Int16)\n\tapprox_percentile_cont(Float64, Float64, Int32)\n\tapprox_percentile_cont(Float64, Float64, Int64)\n\tapprox_percentile_cont(Float64, Float64, UInt8)\n\tapprox_percentile_cont(Float64, Float64, UInt16)\n\tapprox_percentile_cont(Float64, Float64, UInt32)\n\tapprox_percentile_cont(Float64, Float64, UInt64)"
       }
     },
     {
@@ -221,7 +221,7 @@
         }
       },
       "output": {
-        "failure": "error in DataFusion: Error during planning: Error during planning: Failed to coerce arguments to satisfy a call to approx_percentile_cont function: coercion from [Int32, List(Field { name: \"item\", data_type: Decimal128(1, 1), nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), Int32] to the signature OneOf([Exact([Int8, Float64]), Exact([Int8, Float64, Int8]), Exact([Int8, Float64, Int16]), Exact([Int8, Float64, Int32]), Exact([Int8, Float64, Int64]), Exact([Int8, Float64, UInt8]), Exact([Int8, Float64, UInt16]), Exact([Int8, Float64, UInt32]), Exact([Int8, Float64, UInt64]), Exact([Int16, Float64]), Exact([Int16, Float64, Int8]), Exact([Int16, Float64, Int16]), Exact([Int16, Float64, Int32]), Exact([Int16, Float64, Int64]), Exact([Int16, Float64, UInt8]), Exact([Int16, Float64, UInt16]), Exact([Int16, Float64, UInt32]), Exact([Int16, Float64, UInt64]), Exact([Int32, Float64]), Exact([Int32, Float64, Int8]), Exact([Int32, Float64, Int16]), Exact([Int32, Float64, Int32]), Exact([Int32, Float64, Int64]), Exact([Int32, Float64, UInt8]), Exact([Int32, Float64, UInt16]), Exact([Int32, Float64, UInt32]), Exact([Int32, Float64, UInt64]), Exact([Int64, Float64]), Exact([Int64, Float64, Int8]), Exact([Int64, Float64, Int16]), Exact([Int64, Float64, Int32]), Exact([Int64, Float64, Int64]), Exact([Int64, Float64, UInt8]), Exact([Int64, Float64, UInt16]), Exact([Int64, Float64, UInt32]), Exact([Int64, Float64, UInt64]), Exact([UInt8, Float64]), Exact([UInt8, Float64, Int8]), Exact([UInt8, Float64, Int16]), Exact([UInt8, Float64, Int32]), Exact([UInt8, Float64, Int64]), Exact([UInt8, Float64, UInt8]), Exact([UInt8, Float64, UInt16]), Exact([UInt8, Float64, UInt32]), Exact([UInt8, Float64, UInt64]), Exact([UInt16, Float64]), Exact([UInt16, Float64, Int8]), Exact([UInt16, Float64, Int16]), Exact([UInt16, Float64, Int32]), Exact([UInt16, Float64, Int64]), Exact([UInt16, Float64, UInt8]), Exact([UInt16, Float64, UInt16]), Exact([UInt16, Float64, UInt32]), Exact([UInt16, Float64, UInt64]), Exact([UInt32, Float64]), Exact([UInt32, Float64, Int8]), Exact([UInt32, Float64, Int16]), Exact([UInt32, Float64, Int32]), Exact([UInt32, Float64, Int64]), Exact([UInt32, Float64, UInt8]), Exact([UInt32, Float64, UInt16]), Exact([UInt32, Float64, UInt32]), Exact([UInt32, Float64, UInt64]), Exact([UInt64, Float64]), Exact([UInt64, Float64, Int8]), Exact([UInt64, Float64, Int16]), Exact([UInt64, Float64, Int32]), Exact([UInt64, Float64, Int64]), Exact([UInt64, Float64, UInt8]), Exact([UInt64, Float64, UInt16]), Exact([UInt64, Float64, UInt32]), Exact([UInt64, Float64, UInt64]), Exact([Float32, Float64]), Exact([Float32, Float64, Int8]), Exact([Float32, Float64, Int16]), Exact([Float32, Float64, Int32]), Exact([Float32, Float64, Int64]), Exact([Float32, Float64, UInt8]), Exact([Float32, Float64, UInt16]), Exact([Float32, Float64, UInt32]), Exact([Float32, Float64, UInt64]), Exact([Float64, Float64]), Exact([Float64, Float64, Int8]), Exact([Float64, Float64, Int16]), Exact([Float64, Float64, Int32]), Exact([Float64, Float64, Int64]), Exact([Float64, Float64, UInt8]), Exact([Float64, Float64, UInt16]), Exact([Float64, Float64, UInt32]), Exact([Float64, Float64, UInt64])]) failed. No function matches the given name and argument types 'approx_percentile_cont(Int32, List(Field { name: \"item\", data_type: Decimal128(1, 1), nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), Int32)'. You might need to add explicit type casts.\n\tCandidate functions:\n\tapprox_percentile_cont(Int8, Float64)\n\tapprox_percentile_cont(Int8, Float64, Int8)\n\tapprox_percentile_cont(Int8, Float64, Int16)\n\tapprox_percentile_cont(Int8, Float64, Int32)\n\tapprox_percentile_cont(Int8, Float64, Int64)\n\tapprox_percentile_cont(Int8, Float64, UInt8)\n\tapprox_percentile_cont(Int8, Float64, UInt16)\n\tapprox_percentile_cont(Int8, Float64, UInt32)\n\tapprox_percentile_cont(Int8, Float64, UInt64)\n\tapprox_percentile_cont(Int16, Float64)\n\tapprox_percentile_cont(Int16, Float64, Int8)\n\tapprox_percentile_cont(Int16, Float64, Int16)\n\tapprox_percentile_cont(Int16, Float64, Int32)\n\tapprox_percentile_cont(Int16, Float64, Int64)\n\tapprox_percentile_cont(Int16, Float64, UInt8)\n\tapprox_percentile_cont(Int16, Float64, UInt16)\n\tapprox_percentile_cont(Int16, Float64, UInt32)\n\tapprox_percentile_cont(Int16, Float64, UInt64)\n\tapprox_percentile_cont(Int32, Float64)\n\tapprox_percentile_cont(Int32, Float64, Int8)\n\tapprox_percentile_cont(Int32, Float64, Int16)\n\tapprox_percentile_cont(Int32, Float64, Int32)\n\tapprox_percentile_cont(Int32, Float64, Int64)\n\tapprox_percentile_cont(Int32, Float64, UInt8)\n\tapprox_percentile_cont(Int32, Float64, UInt16)\n\tapprox_percentile_cont(Int32, Float64, UInt32)\n\tapprox_percentile_cont(Int32, Float64, UInt64)\n\tapprox_percentile_cont(Int64, Float64)\n\tapprox_percentile_cont(Int64, Float64, Int8)\n\tapprox_percentile_cont(Int64, Float64, Int16)\n\tapprox_percentile_cont(Int64, Float64, Int32)\n\tapprox_percentile_cont(Int64, Float64, Int64)\n\tapprox_percentile_cont(Int64, Float64, UInt8)\n\tapprox_percentile_cont(Int64, Float64, UInt16)\n\tapprox_percentile_cont(Int64, Float64, UInt32)\n\tapprox_percentile_cont(Int64, Float64, UInt64)\n\tapprox_percentile_cont(UInt8, Float64)\n\tapprox_percentile_cont(UInt8, Float64, Int8)\n\tapprox_percentile_cont(UInt8, Float64, Int16)\n\tapprox_percentile_cont(UInt8, Float64, Int32)\n\tapprox_percentile_cont(UInt8, Float64, Int64)\n\tapprox_percentile_cont(UInt8, Float64, UInt8)\n\tapprox_percentile_cont(UInt8, Float64, UInt16)\n\tapprox_percentile_cont(UInt8, Float64, UInt32)\n\tapprox_percentile_cont(UInt8, Float64, UInt64)\n\tapprox_percentile_cont(UInt16, Float64)\n\tapprox_percentile_cont(UInt16, Float64, Int8)\n\tapprox_percentile_cont(UInt16, Float64, Int16)\n\tapprox_percentile_cont(UInt16, Float64, Int32)\n\tapprox_percentile_cont(UInt16, Float64, Int64)\n\tapprox_percentile_cont(UInt16, Float64, UInt8)\n\tapprox_percentile_cont(UInt16, Float64, UInt16)\n\tapprox_percentile_cont(UInt16, Float64, UInt32)\n\tapprox_percentile_cont(UInt16, Float64, UInt64)\n\tapprox_percentile_cont(UInt32, Float64)\n\tapprox_percentile_cont(UInt32, Float64, Int8)\n\tapprox_percentile_cont(UInt32, Float64, Int16)\n\tapprox_percentile_cont(UInt32, Float64, Int32)\n\tapprox_percentile_cont(UInt32, Float64, Int64)\n\tapprox_percentile_cont(UInt32, Float64, UInt8)\n\tapprox_percentile_cont(UInt32, Float64, UInt16)\n\tapprox_percentile_cont(UInt32, Float64, UInt32)\n\tapprox_percentile_cont(UInt32, Float64, UInt64)\n\tapprox_percentile_cont(UInt64, Float64)\n\tapprox_percentile_cont(UInt64, Float64, Int8)\n\tapprox_percentile_cont(UInt64, Float64, Int16)\n\tapprox_percentile_cont(UInt64, Float64, Int32)\n\tapprox_percentile_cont(UInt64, Float64, Int64)\n\tapprox_percentile_cont(UInt64, Float64, UInt8)\n\tapprox_percentile_cont(UInt64, Float64, UInt16)\n\tapprox_percentile_cont(UInt64, Float64, UInt32)\n\tapprox_percentile_cont(UInt64, Float64, UInt64)\n\tapprox_percentile_cont(Float32, Float64)\n\tapprox_percentile_cont(Float32, Float64, Int8)\n\tapprox_percentile_cont(Float32, Float64, Int16)\n\tapprox_percentile_cont(Float32, Float64, Int32)\n\tapprox_percentile_cont(Float32, Float64, Int64)\n\tapprox_percentile_cont(Float32, Float64, UInt8)\n\tapprox_percentile_cont(Float32, Float64, UInt16)\n\tapprox_percentile_cont(Float32, Float64, UInt32)\n\tapprox_percentile_cont(Float32, Float64, UInt64)\n\tapprox_percentile_cont(Float64, Float64)\n\tapprox_percentile_cont(Float64, Float64, Int8)\n\tapprox_percentile_cont(Float64, Float64, Int16)\n\tapprox_percentile_cont(Float64, Float64, Int32)\n\tapprox_percentile_cont(Float64, Float64, Int64)\n\tapprox_percentile_cont(Float64, Float64, UInt8)\n\tapprox_percentile_cont(Float64, Float64, UInt16)\n\tapprox_percentile_cont(Float64, Float64, UInt32)\n\tapprox_percentile_cont(Float64, Float64, UInt64)"
+        "failure": "error in DataFusion: Error during planning: Failed to coerce arguments to satisfy a call to 'approx_percentile_cont' function: coercion from [Int32, List(Field { name: \"item\", data_type: Decimal128(1, 1), nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), Int32] to the signature OneOf([Exact([Int8, Float64]), Exact([Int8, Float64, Int8]), Exact([Int8, Float64, Int16]), Exact([Int8, Float64, Int32]), Exact([Int8, Float64, Int64]), Exact([Int8, Float64, UInt8]), Exact([Int8, Float64, UInt16]), Exact([Int8, Float64, UInt32]), Exact([Int8, Float64, UInt64]), Exact([Int16, Float64]), Exact([Int16, Float64, Int8]), Exact([Int16, Float64, Int16]), Exact([Int16, Float64, Int32]), Exact([Int16, Float64, Int64]), Exact([Int16, Float64, UInt8]), Exact([Int16, Float64, UInt16]), Exact([Int16, Float64, UInt32]), Exact([Int16, Float64, UInt64]), Exact([Int32, Float64]), Exact([Int32, Float64, Int8]), Exact([Int32, Float64, Int16]), Exact([Int32, Float64, Int32]), Exact([Int32, Float64, Int64]), Exact([Int32, Float64, UInt8]), Exact([Int32, Float64, UInt16]), Exact([Int32, Float64, UInt32]), Exact([Int32, Float64, UInt64]), Exact([Int64, Float64]), Exact([Int64, Float64, Int8]), Exact([Int64, Float64, Int16]), Exact([Int64, Float64, Int32]), Exact([Int64, Float64, Int64]), Exact([Int64, Float64, UInt8]), Exact([Int64, Float64, UInt16]), Exact([Int64, Float64, UInt32]), Exact([Int64, Float64, UInt64]), Exact([UInt8, Float64]), Exact([UInt8, Float64, Int8]), Exact([UInt8, Float64, Int16]), Exact([UInt8, Float64, Int32]), Exact([UInt8, Float64, Int64]), Exact([UInt8, Float64, UInt8]), Exact([UInt8, Float64, UInt16]), Exact([UInt8, Float64, UInt32]), Exact([UInt8, Float64, UInt64]), Exact([UInt16, Float64]), Exact([UInt16, Float64, Int8]), Exact([UInt16, Float64, Int16]), Exact([UInt16, Float64, Int32]), Exact([UInt16, Float64, Int64]), Exact([UInt16, Float64, UInt8]), Exact([UInt16, Float64, UInt16]), Exact([UInt16, Float64, UInt32]), Exact([UInt16, Float64, UInt64]), Exact([UInt32, Float64]), Exact([UInt32, Float64, Int8]), Exact([UInt32, Float64, Int16]), Exact([UInt32, Float64, Int32]), Exact([UInt32, Float64, Int64]), Exact([UInt32, Float64, UInt8]), Exact([UInt32, Float64, UInt16]), Exact([UInt32, Float64, UInt32]), Exact([UInt32, Float64, UInt64]), Exact([UInt64, Float64]), Exact([UInt64, Float64, Int8]), Exact([UInt64, Float64, Int16]), Exact([UInt64, Float64, Int32]), Exact([UInt64, Float64, Int64]), Exact([UInt64, Float64, UInt8]), Exact([UInt64, Float64, UInt16]), Exact([UInt64, Float64, UInt32]), Exact([UInt64, Float64, UInt64]), Exact([Float32, Float64]), Exact([Float32, Float64, Int8]), Exact([Float32, Float64, Int16]), Exact([Float32, Float64, Int32]), Exact([Float32, Float64, Int64]), Exact([Float32, Float64, UInt8]), Exact([Float32, Float64, UInt16]), Exact([Float32, Float64, UInt32]), Exact([Float32, Float64, UInt64]), Exact([Float64, Float64]), Exact([Float64, Float64, Int8]), Exact([Float64, Float64, Int16]), Exact([Float64, Float64, Int32]), Exact([Float64, Float64, Int64]), Exact([Float64, Float64, UInt8]), Exact([Float64, Float64, UInt16]), Exact([Float64, Float64, UInt32]), Exact([Float64, Float64, UInt64])]) failed No function matches the given name and argument types 'approx_percentile_cont(Int32, List(Field { name: \"item\", data_type: Decimal128(1, 1), nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), Int32)'. You might need to add explicit type casts.\n\tCandidate functions:\n\tapprox_percentile_cont(Int8, Float64)\n\tapprox_percentile_cont(Int8, Float64, Int8)\n\tapprox_percentile_cont(Int8, Float64, Int16)\n\tapprox_percentile_cont(Int8, Float64, Int32)\n\tapprox_percentile_cont(Int8, Float64, Int64)\n\tapprox_percentile_cont(Int8, Float64, UInt8)\n\tapprox_percentile_cont(Int8, Float64, UInt16)\n\tapprox_percentile_cont(Int8, Float64, UInt32)\n\tapprox_percentile_cont(Int8, Float64, UInt64)\n\tapprox_percentile_cont(Int16, Float64)\n\tapprox_percentile_cont(Int16, Float64, Int8)\n\tapprox_percentile_cont(Int16, Float64, Int16)\n\tapprox_percentile_cont(Int16, Float64, Int32)\n\tapprox_percentile_cont(Int16, Float64, Int64)\n\tapprox_percentile_cont(Int16, Float64, UInt8)\n\tapprox_percentile_cont(Int16, Float64, UInt16)\n\tapprox_percentile_cont(Int16, Float64, UInt32)\n\tapprox_percentile_cont(Int16, Float64, UInt64)\n\tapprox_percentile_cont(Int32, Float64)\n\tapprox_percentile_cont(Int32, Float64, Int8)\n\tapprox_percentile_cont(Int32, Float64, Int16)\n\tapprox_percentile_cont(Int32, Float64, Int32)\n\tapprox_percentile_cont(Int32, Float64, Int64)\n\tapprox_percentile_cont(Int32, Float64, UInt8)\n\tapprox_percentile_cont(Int32, Float64, UInt16)\n\tapprox_percentile_cont(Int32, Float64, UInt32)\n\tapprox_percentile_cont(Int32, Float64, UInt64)\n\tapprox_percentile_cont(Int64, Float64)\n\tapprox_percentile_cont(Int64, Float64, Int8)\n\tapprox_percentile_cont(Int64, Float64, Int16)\n\tapprox_percentile_cont(Int64, Float64, Int32)\n\tapprox_percentile_cont(Int64, Float64, Int64)\n\tapprox_percentile_cont(Int64, Float64, UInt8)\n\tapprox_percentile_cont(Int64, Float64, UInt16)\n\tapprox_percentile_cont(Int64, Float64, UInt32)\n\tapprox_percentile_cont(Int64, Float64, UInt64)\n\tapprox_percentile_cont(UInt8, Float64)\n\tapprox_percentile_cont(UInt8, Float64, Int8)\n\tapprox_percentile_cont(UInt8, Float64, Int16)\n\tapprox_percentile_cont(UInt8, Float64, Int32)\n\tapprox_percentile_cont(UInt8, Float64, Int64)\n\tapprox_percentile_cont(UInt8, Float64, UInt8)\n\tapprox_percentile_cont(UInt8, Float64, UInt16)\n\tapprox_percentile_cont(UInt8, Float64, UInt32)\n\tapprox_percentile_cont(UInt8, Float64, UInt64)\n\tapprox_percentile_cont(UInt16, Float64)\n\tapprox_percentile_cont(UInt16, Float64, Int8)\n\tapprox_percentile_cont(UInt16, Float64, Int16)\n\tapprox_percentile_cont(UInt16, Float64, Int32)\n\tapprox_percentile_cont(UInt16, Float64, Int64)\n\tapprox_percentile_cont(UInt16, Float64, UInt8)\n\tapprox_percentile_cont(UInt16, Float64, UInt16)\n\tapprox_percentile_cont(UInt16, Float64, UInt32)\n\tapprox_percentile_cont(UInt16, Float64, UInt64)\n\tapprox_percentile_cont(UInt32, Float64)\n\tapprox_percentile_cont(UInt32, Float64, Int8)\n\tapprox_percentile_cont(UInt32, Float64, Int16)\n\tapprox_percentile_cont(UInt32, Float64, Int32)\n\tapprox_percentile_cont(UInt32, Float64, Int64)\n\tapprox_percentile_cont(UInt32, Float64, UInt8)\n\tapprox_percentile_cont(UInt32, Float64, UInt16)\n\tapprox_percentile_cont(UInt32, Float64, UInt32)\n\tapprox_percentile_cont(UInt32, Float64, UInt64)\n\tapprox_percentile_cont(UInt64, Float64)\n\tapprox_percentile_cont(UInt64, Float64, Int8)\n\tapprox_percentile_cont(UInt64, Float64, Int16)\n\tapprox_percentile_cont(UInt64, Float64, Int32)\n\tapprox_percentile_cont(UInt64, Float64, Int64)\n\tapprox_percentile_cont(UInt64, Float64, UInt8)\n\tapprox_percentile_cont(UInt64, Float64, UInt16)\n\tapprox_percentile_cont(UInt64, Float64, UInt32)\n\tapprox_percentile_cont(UInt64, Float64, UInt64)\n\tapprox_percentile_cont(Float32, Float64)\n\tapprox_percentile_cont(Float32, Float64, Int8)\n\tapprox_percentile_cont(Float32, Float64, Int16)\n\tapprox_percentile_cont(Float32, Float64, Int32)\n\tapprox_percentile_cont(Float32, Float64, Int64)\n\tapprox_percentile_cont(Float32, Float64, UInt8)\n\tapprox_percentile_cont(Float32, Float64, UInt16)\n\tapprox_percentile_cont(Float32, Float64, UInt32)\n\tapprox_percentile_cont(Float32, Float64, UInt64)\n\tapprox_percentile_cont(Float64, Float64)\n\tapprox_percentile_cont(Float64, Float64, Int8)\n\tapprox_percentile_cont(Float64, Float64, Int16)\n\tapprox_percentile_cont(Float64, Float64, Int32)\n\tapprox_percentile_cont(Float64, Float64, Int64)\n\tapprox_percentile_cont(Float64, Float64, UInt8)\n\tapprox_percentile_cont(Float64, Float64, UInt16)\n\tapprox_percentile_cont(Float64, Float64, UInt32)\n\tapprox_percentile_cont(Float64, Float64, UInt64)"
       }
     },
     {
@@ -247,7 +247,7 @@
         }
       },
       "output": {
-        "failure": "error in DataFusion: Error during planning: Error during planning: Failed to coerce arguments to satisfy a call to approx_percentile_cont function: coercion from [Interval(DayTime), List(Field { name: \"item\", data_type: Decimal128(1, 1), nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), Int32] to the signature OneOf([Exact([Int8, Float64]), Exact([Int8, Float64, Int8]), Exact([Int8, Float64, Int16]), Exact([Int8, Float64, Int32]), Exact([Int8, Float64, Int64]), Exact([Int8, Float64, UInt8]), Exact([Int8, Float64, UInt16]), Exact([Int8, Float64, UInt32]), Exact([Int8, Float64, UInt64]), Exact([Int16, Float64]), Exact([Int16, Float64, Int8]), Exact([Int16, Float64, Int16]), Exact([Int16, Float64, Int32]), Exact([Int16, Float64, Int64]), Exact([Int16, Float64, UInt8]), Exact([Int16, Float64, UInt16]), Exact([Int16, Float64, UInt32]), Exact([Int16, Float64, UInt64]), Exact([Int32, Float64]), Exact([Int32, Float64, Int8]), Exact([Int32, Float64, Int16]), Exact([Int32, Float64, Int32]), Exact([Int32, Float64, Int64]), Exact([Int32, Float64, UInt8]), Exact([Int32, Float64, UInt16]), Exact([Int32, Float64, UInt32]), Exact([Int32, Float64, UInt64]), Exact([Int64, Float64]), Exact([Int64, Float64, Int8]), Exact([Int64, Float64, Int16]), Exact([Int64, Float64, Int32]), Exact([Int64, Float64, Int64]), Exact([Int64, Float64, UInt8]), Exact([Int64, Float64, UInt16]), Exact([Int64, Float64, UInt32]), Exact([Int64, Float64, UInt64]), Exact([UInt8, Float64]), Exact([UInt8, Float64, Int8]), Exact([UInt8, Float64, Int16]), Exact([UInt8, Float64, Int32]), Exact([UInt8, Float64, Int64]), Exact([UInt8, Float64, UInt8]), Exact([UInt8, Float64, UInt16]), Exact([UInt8, Float64, UInt32]), Exact([UInt8, Float64, UInt64]), Exact([UInt16, Float64]), Exact([UInt16, Float64, Int8]), Exact([UInt16, Float64, Int16]), Exact([UInt16, Float64, Int32]), Exact([UInt16, Float64, Int64]), Exact([UInt16, Float64, UInt8]), Exact([UInt16, Float64, UInt16]), Exact([UInt16, Float64, UInt32]), Exact([UInt16, Float64, UInt64]), Exact([UInt32, Float64]), Exact([UInt32, Float64, Int8]), Exact([UInt32, Float64, Int16]), Exact([UInt32, Float64, Int32]), Exact([UInt32, Float64, Int64]), Exact([UInt32, Float64, UInt8]), Exact([UInt32, Float64, UInt16]), Exact([UInt32, Float64, UInt32]), Exact([UInt32, Float64, UInt64]), Exact([UInt64, Float64]), Exact([UInt64, Float64, Int8]), Exact([UInt64, Float64, Int16]), Exact([UInt64, Float64, Int32]), Exact([UInt64, Float64, Int64]), Exact([UInt64, Float64, UInt8]), Exact([UInt64, Float64, UInt16]), Exact([UInt64, Float64, UInt32]), Exact([UInt64, Float64, UInt64]), Exact([Float32, Float64]), Exact([Float32, Float64, Int8]), Exact([Float32, Float64, Int16]), Exact([Float32, Float64, Int32]), Exact([Float32, Float64, Int64]), Exact([Float32, Float64, UInt8]), Exact([Float32, Float64, UInt16]), Exact([Float32, Float64, UInt32]), Exact([Float32, Float64, UInt64]), Exact([Float64, Float64]), Exact([Float64, Float64, Int8]), Exact([Float64, Float64, Int16]), Exact([Float64, Float64, Int32]), Exact([Float64, Float64, Int64]), Exact([Float64, Float64, UInt8]), Exact([Float64, Float64, UInt16]), Exact([Float64, Float64, UInt32]), Exact([Float64, Float64, UInt64])]) failed. No function matches the given name and argument types 'approx_percentile_cont(Interval(DayTime), List(Field { name: \"item\", data_type: Decimal128(1, 1), nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), Int32)'. You might need to add explicit type casts.\n\tCandidate functions:\n\tapprox_percentile_cont(Int8, Float64)\n\tapprox_percentile_cont(Int8, Float64, Int8)\n\tapprox_percentile_cont(Int8, Float64, Int16)\n\tapprox_percentile_cont(Int8, Float64, Int32)\n\tapprox_percentile_cont(Int8, Float64, Int64)\n\tapprox_percentile_cont(Int8, Float64, UInt8)\n\tapprox_percentile_cont(Int8, Float64, UInt16)\n\tapprox_percentile_cont(Int8, Float64, UInt32)\n\tapprox_percentile_cont(Int8, Float64, UInt64)\n\tapprox_percentile_cont(Int16, Float64)\n\tapprox_percentile_cont(Int16, Float64, Int8)\n\tapprox_percentile_cont(Int16, Float64, Int16)\n\tapprox_percentile_cont(Int16, Float64, Int32)\n\tapprox_percentile_cont(Int16, Float64, Int64)\n\tapprox_percentile_cont(Int16, Float64, UInt8)\n\tapprox_percentile_cont(Int16, Float64, UInt16)\n\tapprox_percentile_cont(Int16, Float64, UInt32)\n\tapprox_percentile_cont(Int16, Float64, UInt64)\n\tapprox_percentile_cont(Int32, Float64)\n\tapprox_percentile_cont(Int32, Float64, Int8)\n\tapprox_percentile_cont(Int32, Float64, Int16)\n\tapprox_percentile_cont(Int32, Float64, Int32)\n\tapprox_percentile_cont(Int32, Float64, Int64)\n\tapprox_percentile_cont(Int32, Float64, UInt8)\n\tapprox_percentile_cont(Int32, Float64, UInt16)\n\tapprox_percentile_cont(Int32, Float64, UInt32)\n\tapprox_percentile_cont(Int32, Float64, UInt64)\n\tapprox_percentile_cont(Int64, Float64)\n\tapprox_percentile_cont(Int64, Float64, Int8)\n\tapprox_percentile_cont(Int64, Float64, Int16)\n\tapprox_percentile_cont(Int64, Float64, Int32)\n\tapprox_percentile_cont(Int64, Float64, Int64)\n\tapprox_percentile_cont(Int64, Float64, UInt8)\n\tapprox_percentile_cont(Int64, Float64, UInt16)\n\tapprox_percentile_cont(Int64, Float64, UInt32)\n\tapprox_percentile_cont(Int64, Float64, UInt64)\n\tapprox_percentile_cont(UInt8, Float64)\n\tapprox_percentile_cont(UInt8, Float64, Int8)\n\tapprox_percentile_cont(UInt8, Float64, Int16)\n\tapprox_percentile_cont(UInt8, Float64, Int32)\n\tapprox_percentile_cont(UInt8, Float64, Int64)\n\tapprox_percentile_cont(UInt8, Float64, UInt8)\n\tapprox_percentile_cont(UInt8, Float64, UInt16)\n\tapprox_percentile_cont(UInt8, Float64, UInt32)\n\tapprox_percentile_cont(UInt8, Float64, UInt64)\n\tapprox_percentile_cont(UInt16, Float64)\n\tapprox_percentile_cont(UInt16, Float64, Int8)\n\tapprox_percentile_cont(UInt16, Float64, Int16)\n\tapprox_percentile_cont(UInt16, Float64, Int32)\n\tapprox_percentile_cont(UInt16, Float64, Int64)\n\tapprox_percentile_cont(UInt16, Float64, UInt8)\n\tapprox_percentile_cont(UInt16, Float64, UInt16)\n\tapprox_percentile_cont(UInt16, Float64, UInt32)\n\tapprox_percentile_cont(UInt16, Float64, UInt64)\n\tapprox_percentile_cont(UInt32, Float64)\n\tapprox_percentile_cont(UInt32, Float64, Int8)\n\tapprox_percentile_cont(UInt32, Float64, Int16)\n\tapprox_percentile_cont(UInt32, Float64, Int32)\n\tapprox_percentile_cont(UInt32, Float64, Int64)\n\tapprox_percentile_cont(UInt32, Float64, UInt8)\n\tapprox_percentile_cont(UInt32, Float64, UInt16)\n\tapprox_percentile_cont(UInt32, Float64, UInt32)\n\tapprox_percentile_cont(UInt32, Float64, UInt64)\n\tapprox_percentile_cont(UInt64, Float64)\n\tapprox_percentile_cont(UInt64, Float64, Int8)\n\tapprox_percentile_cont(UInt64, Float64, Int16)\n\tapprox_percentile_cont(UInt64, Float64, Int32)\n\tapprox_percentile_cont(UInt64, Float64, Int64)\n\tapprox_percentile_cont(UInt64, Float64, UInt8)\n\tapprox_percentile_cont(UInt64, Float64, UInt16)\n\tapprox_percentile_cont(UInt64, Float64, UInt32)\n\tapprox_percentile_cont(UInt64, Float64, UInt64)\n\tapprox_percentile_cont(Float32, Float64)\n\tapprox_percentile_cont(Float32, Float64, Int8)\n\tapprox_percentile_cont(Float32, Float64, Int16)\n\tapprox_percentile_cont(Float32, Float64, Int32)\n\tapprox_percentile_cont(Float32, Float64, Int64)\n\tapprox_percentile_cont(Float32, Float64, UInt8)\n\tapprox_percentile_cont(Float32, Float64, UInt16)\n\tapprox_percentile_cont(Float32, Float64, UInt32)\n\tapprox_percentile_cont(Float32, Float64, UInt64)\n\tapprox_percentile_cont(Float64, Float64)\n\tapprox_percentile_cont(Float64, Float64, Int8)\n\tapprox_percentile_cont(Float64, Float64, Int16)\n\tapprox_percentile_cont(Float64, Float64, Int32)\n\tapprox_percentile_cont(Float64, Float64, Int64)\n\tapprox_percentile_cont(Float64, Float64, UInt8)\n\tapprox_percentile_cont(Float64, Float64, UInt16)\n\tapprox_percentile_cont(Float64, Float64, UInt32)\n\tapprox_percentile_cont(Float64, Float64, UInt64)"
+        "failure": "error in DataFusion: Error during planning: Failed to coerce arguments to satisfy a call to 'approx_percentile_cont' function: coercion from [Interval(DayTime), List(Field { name: \"item\", data_type: Decimal128(1, 1), nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), Int32] to the signature OneOf([Exact([Int8, Float64]), Exact([Int8, Float64, Int8]), Exact([Int8, Float64, Int16]), Exact([Int8, Float64, Int32]), Exact([Int8, Float64, Int64]), Exact([Int8, Float64, UInt8]), Exact([Int8, Float64, UInt16]), Exact([Int8, Float64, UInt32]), Exact([Int8, Float64, UInt64]), Exact([Int16, Float64]), Exact([Int16, Float64, Int8]), Exact([Int16, Float64, Int16]), Exact([Int16, Float64, Int32]), Exact([Int16, Float64, Int64]), Exact([Int16, Float64, UInt8]), Exact([Int16, Float64, UInt16]), Exact([Int16, Float64, UInt32]), Exact([Int16, Float64, UInt64]), Exact([Int32, Float64]), Exact([Int32, Float64, Int8]), Exact([Int32, Float64, Int16]), Exact([Int32, Float64, Int32]), Exact([Int32, Float64, Int64]), Exact([Int32, Float64, UInt8]), Exact([Int32, Float64, UInt16]), Exact([Int32, Float64, UInt32]), Exact([Int32, Float64, UInt64]), Exact([Int64, Float64]), Exact([Int64, Float64, Int8]), Exact([Int64, Float64, Int16]), Exact([Int64, Float64, Int32]), Exact([Int64, Float64, Int64]), Exact([Int64, Float64, UInt8]), Exact([Int64, Float64, UInt16]), Exact([Int64, Float64, UInt32]), Exact([Int64, Float64, UInt64]), Exact([UInt8, Float64]), Exact([UInt8, Float64, Int8]), Exact([UInt8, Float64, Int16]), Exact([UInt8, Float64, Int32]), Exact([UInt8, Float64, Int64]), Exact([UInt8, Float64, UInt8]), Exact([UInt8, Float64, UInt16]), Exact([UInt8, Float64, UInt32]), Exact([UInt8, Float64, UInt64]), Exact([UInt16, Float64]), Exact([UInt16, Float64, Int8]), Exact([UInt16, Float64, Int16]), Exact([UInt16, Float64, Int32]), Exact([UInt16, Float64, Int64]), Exact([UInt16, Float64, UInt8]), Exact([UInt16, Float64, UInt16]), Exact([UInt16, Float64, UInt32]), Exact([UInt16, Float64, UInt64]), Exact([UInt32, Float64]), Exact([UInt32, Float64, Int8]), Exact([UInt32, Float64, Int16]), Exact([UInt32, Float64, Int32]), Exact([UInt32, Float64, Int64]), Exact([UInt32, Float64, UInt8]), Exact([UInt32, Float64, UInt16]), Exact([UInt32, Float64, UInt32]), Exact([UInt32, Float64, UInt64]), Exact([UInt64, Float64]), Exact([UInt64, Float64, Int8]), Exact([UInt64, Float64, Int16]), Exact([UInt64, Float64, Int32]), Exact([UInt64, Float64, Int64]), Exact([UInt64, Float64, UInt8]), Exact([UInt64, Float64, UInt16]), Exact([UInt64, Float64, UInt32]), Exact([UInt64, Float64, UInt64]), Exact([Float32, Float64]), Exact([Float32, Float64, Int8]), Exact([Float32, Float64, Int16]), Exact([Float32, Float64, Int32]), Exact([Float32, Float64, Int64]), Exact([Float32, Float64, UInt8]), Exact([Float32, Float64, UInt16]), Exact([Float32, Float64, UInt32]), Exact([Float32, Float64, UInt64]), Exact([Float64, Float64]), Exact([Float64, Float64, Int8]), Exact([Float64, Float64, Int16]), Exact([Float64, Float64, Int32]), Exact([Float64, Float64, Int64]), Exact([Float64, Float64, UInt8]), Exact([Float64, Float64, UInt16]), Exact([Float64, Float64, UInt32]), Exact([Float64, Float64, UInt64])]) failed No function matches the given name and argument types 'approx_percentile_cont(Interval(DayTime), List(Field { name: \"item\", data_type: Decimal128(1, 1), nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), Int32)'. You might need to add explicit type casts.\n\tCandidate functions:\n\tapprox_percentile_cont(Int8, Float64)\n\tapprox_percentile_cont(Int8, Float64, Int8)\n\tapprox_percentile_cont(Int8, Float64, Int16)\n\tapprox_percentile_cont(Int8, Float64, Int32)\n\tapprox_percentile_cont(Int8, Float64, Int64)\n\tapprox_percentile_cont(Int8, Float64, UInt8)\n\tapprox_percentile_cont(Int8, Float64, UInt16)\n\tapprox_percentile_cont(Int8, Float64, UInt32)\n\tapprox_percentile_cont(Int8, Float64, UInt64)\n\tapprox_percentile_cont(Int16, Float64)\n\tapprox_percentile_cont(Int16, Float64, Int8)\n\tapprox_percentile_cont(Int16, Float64, Int16)\n\tapprox_percentile_cont(Int16, Float64, Int32)\n\tapprox_percentile_cont(Int16, Float64, Int64)\n\tapprox_percentile_cont(Int16, Float64, UInt8)\n\tapprox_percentile_cont(Int16, Float64, UInt16)\n\tapprox_percentile_cont(Int16, Float64, UInt32)\n\tapprox_percentile_cont(Int16, Float64, UInt64)\n\tapprox_percentile_cont(Int32, Float64)\n\tapprox_percentile_cont(Int32, Float64, Int8)\n\tapprox_percentile_cont(Int32, Float64, Int16)\n\tapprox_percentile_cont(Int32, Float64, Int32)\n\tapprox_percentile_cont(Int32, Float64, Int64)\n\tapprox_percentile_cont(Int32, Float64, UInt8)\n\tapprox_percentile_cont(Int32, Float64, UInt16)\n\tapprox_percentile_cont(Int32, Float64, UInt32)\n\tapprox_percentile_cont(Int32, Float64, UInt64)\n\tapprox_percentile_cont(Int64, Float64)\n\tapprox_percentile_cont(Int64, Float64, Int8)\n\tapprox_percentile_cont(Int64, Float64, Int16)\n\tapprox_percentile_cont(Int64, Float64, Int32)\n\tapprox_percentile_cont(Int64, Float64, Int64)\n\tapprox_percentile_cont(Int64, Float64, UInt8)\n\tapprox_percentile_cont(Int64, Float64, UInt16)\n\tapprox_percentile_cont(Int64, Float64, UInt32)\n\tapprox_percentile_cont(Int64, Float64, UInt64)\n\tapprox_percentile_cont(UInt8, Float64)\n\tapprox_percentile_cont(UInt8, Float64, Int8)\n\tapprox_percentile_cont(UInt8, Float64, Int16)\n\tapprox_percentile_cont(UInt8, Float64, Int32)\n\tapprox_percentile_cont(UInt8, Float64, Int64)\n\tapprox_percentile_cont(UInt8, Float64, UInt8)\n\tapprox_percentile_cont(UInt8, Float64, UInt16)\n\tapprox_percentile_cont(UInt8, Float64, UInt32)\n\tapprox_percentile_cont(UInt8, Float64, UInt64)\n\tapprox_percentile_cont(UInt16, Float64)\n\tapprox_percentile_cont(UInt16, Float64, Int8)\n\tapprox_percentile_cont(UInt16, Float64, Int16)\n\tapprox_percentile_cont(UInt16, Float64, Int32)\n\tapprox_percentile_cont(UInt16, Float64, Int64)\n\tapprox_percentile_cont(UInt16, Float64, UInt8)\n\tapprox_percentile_cont(UInt16, Float64, UInt16)\n\tapprox_percentile_cont(UInt16, Float64, UInt32)\n\tapprox_percentile_cont(UInt16, Float64, UInt64)\n\tapprox_percentile_cont(UInt32, Float64)\n\tapprox_percentile_cont(UInt32, Float64, Int8)\n\tapprox_percentile_cont(UInt32, Float64, Int16)\n\tapprox_percentile_cont(UInt32, Float64, Int32)\n\tapprox_percentile_cont(UInt32, Float64, Int64)\n\tapprox_percentile_cont(UInt32, Float64, UInt8)\n\tapprox_percentile_cont(UInt32, Float64, UInt16)\n\tapprox_percentile_cont(UInt32, Float64, UInt32)\n\tapprox_percentile_cont(UInt32, Float64, UInt64)\n\tapprox_percentile_cont(UInt64, Float64)\n\tapprox_percentile_cont(UInt64, Float64, Int8)\n\tapprox_percentile_cont(UInt64, Float64, Int16)\n\tapprox_percentile_cont(UInt64, Float64, Int32)\n\tapprox_percentile_cont(UInt64, Float64, Int64)\n\tapprox_percentile_cont(UInt64, Float64, UInt8)\n\tapprox_percentile_cont(UInt64, Float64, UInt16)\n\tapprox_percentile_cont(UInt64, Float64, UInt32)\n\tapprox_percentile_cont(UInt64, Float64, UInt64)\n\tapprox_percentile_cont(Float32, Float64)\n\tapprox_percentile_cont(Float32, Float64, Int8)\n\tapprox_percentile_cont(Float32, Float64, Int16)\n\tapprox_percentile_cont(Float32, Float64, Int32)\n\tapprox_percentile_cont(Float32, Float64, Int64)\n\tapprox_percentile_cont(Float32, Float64, UInt8)\n\tapprox_percentile_cont(Float32, Float64, UInt16)\n\tapprox_percentile_cont(Float32, Float64, UInt32)\n\tapprox_percentile_cont(Float32, Float64, UInt64)\n\tapprox_percentile_cont(Float64, Float64)\n\tapprox_percentile_cont(Float64, Float64, Int8)\n\tapprox_percentile_cont(Float64, Float64, Int16)\n\tapprox_percentile_cont(Float64, Float64, Int32)\n\tapprox_percentile_cont(Float64, Float64, Int64)\n\tapprox_percentile_cont(Float64, Float64, UInt8)\n\tapprox_percentile_cont(Float64, Float64, UInt16)\n\tapprox_percentile_cont(Float64, Float64, UInt32)\n\tapprox_percentile_cont(Float64, Float64, UInt64)"
       }
     },
     {
@@ -1357,7 +1357,7 @@
         }
       },
       "output": {
-        "failure": "error in DataFusion: This feature is not implemented: MedianAccumulator not supported for median(tab.#1) with Interval(YearMonth)"
+        "failure": "error in DataFusion: Error during planning: Function 'median' expects NativeType::Numeric but received NativeType::Interval(YearMonth) No function matches the given name and argument types 'median(Interval(YearMonth))'. You might need to add explicit type casts.\n\tCandidate functions:\n\tmedian(Numeric(1))"
       }
     },
     {
@@ -1689,7 +1689,7 @@
         }
       },
       "output": {
-        "failure": "error in DataFusion: Error during planning: Error during planning: Failed to coerce arguments to satisfy a call to approx_percentile_cont function: coercion from [Interval(YearMonth), Decimal128(1, 1), Int32] to the signature OneOf([Exact([Int8, Float64]), Exact([Int8, Float64, Int8]), Exact([Int8, Float64, Int16]), Exact([Int8, Float64, Int32]), Exact([Int8, Float64, Int64]), Exact([Int8, Float64, UInt8]), Exact([Int8, Float64, UInt16]), Exact([Int8, Float64, UInt32]), Exact([Int8, Float64, UInt64]), Exact([Int16, Float64]), Exact([Int16, Float64, Int8]), Exact([Int16, Float64, Int16]), Exact([Int16, Float64, Int32]), Exact([Int16, Float64, Int64]), Exact([Int16, Float64, UInt8]), Exact([Int16, Float64, UInt16]), Exact([Int16, Float64, UInt32]), Exact([Int16, Float64, UInt64]), Exact([Int32, Float64]), Exact([Int32, Float64, Int8]), Exact([Int32, Float64, Int16]), Exact([Int32, Float64, Int32]), Exact([Int32, Float64, Int64]), Exact([Int32, Float64, UInt8]), Exact([Int32, Float64, UInt16]), Exact([Int32, Float64, UInt32]), Exact([Int32, Float64, UInt64]), Exact([Int64, Float64]), Exact([Int64, Float64, Int8]), Exact([Int64, Float64, Int16]), Exact([Int64, Float64, Int32]), Exact([Int64, Float64, Int64]), Exact([Int64, Float64, UInt8]), Exact([Int64, Float64, UInt16]), Exact([Int64, Float64, UInt32]), Exact([Int64, Float64, UInt64]), Exact([UInt8, Float64]), Exact([UInt8, Float64, Int8]), Exact([UInt8, Float64, Int16]), Exact([UInt8, Float64, Int32]), Exact([UInt8, Float64, Int64]), Exact([UInt8, Float64, UInt8]), Exact([UInt8, Float64, UInt16]), Exact([UInt8, Float64, UInt32]), Exact([UInt8, Float64, UInt64]), Exact([UInt16, Float64]), Exact([UInt16, Float64, Int8]), Exact([UInt16, Float64, Int16]), Exact([UInt16, Float64, Int32]), Exact([UInt16, Float64, Int64]), Exact([UInt16, Float64, UInt8]), Exact([UInt16, Float64, UInt16]), Exact([UInt16, Float64, UInt32]), Exact([UInt16, Float64, UInt64]), Exact([UInt32, Float64]), Exact([UInt32, Float64, Int8]), Exact([UInt32, Float64, Int16]), Exact([UInt32, Float64, Int32]), Exact([UInt32, Float64, Int64]), Exact([UInt32, Float64, UInt8]), Exact([UInt32, Float64, UInt16]), Exact([UInt32, Float64, UInt32]), Exact([UInt32, Float64, UInt64]), Exact([UInt64, Float64]), Exact([UInt64, Float64, Int8]), Exact([UInt64, Float64, Int16]), Exact([UInt64, Float64, Int32]), Exact([UInt64, Float64, Int64]), Exact([UInt64, Float64, UInt8]), Exact([UInt64, Float64, UInt16]), Exact([UInt64, Float64, UInt32]), Exact([UInt64, Float64, UInt64]), Exact([Float32, Float64]), Exact([Float32, Float64, Int8]), Exact([Float32, Float64, Int16]), Exact([Float32, Float64, Int32]), Exact([Float32, Float64, Int64]), Exact([Float32, Float64, UInt8]), Exact([Float32, Float64, UInt16]), Exact([Float32, Float64, UInt32]), Exact([Float32, Float64, UInt64]), Exact([Float64, Float64]), Exact([Float64, Float64, Int8]), Exact([Float64, Float64, Int16]), Exact([Float64, Float64, Int32]), Exact([Float64, Float64, Int64]), Exact([Float64, Float64, UInt8]), Exact([Float64, Float64, UInt16]), Exact([Float64, Float64, UInt32]), Exact([Float64, Float64, UInt64])]) failed. No function matches the given name and argument types 'approx_percentile_cont(Interval(YearMonth), Decimal128(1, 1), Int32)'. You might need to add explicit type casts.\n\tCandidate functions:\n\tapprox_percentile_cont(Int8, Float64)\n\tapprox_percentile_cont(Int8, Float64, Int8)\n\tapprox_percentile_cont(Int8, Float64, Int16)\n\tapprox_percentile_cont(Int8, Float64, Int32)\n\tapprox_percentile_cont(Int8, Float64, Int64)\n\tapprox_percentile_cont(Int8, Float64, UInt8)\n\tapprox_percentile_cont(Int8, Float64, UInt16)\n\tapprox_percentile_cont(Int8, Float64, UInt32)\n\tapprox_percentile_cont(Int8, Float64, UInt64)\n\tapprox_percentile_cont(Int16, Float64)\n\tapprox_percentile_cont(Int16, Float64, Int8)\n\tapprox_percentile_cont(Int16, Float64, Int16)\n\tapprox_percentile_cont(Int16, Float64, Int32)\n\tapprox_percentile_cont(Int16, Float64, Int64)\n\tapprox_percentile_cont(Int16, Float64, UInt8)\n\tapprox_percentile_cont(Int16, Float64, UInt16)\n\tapprox_percentile_cont(Int16, Float64, UInt32)\n\tapprox_percentile_cont(Int16, Float64, UInt64)\n\tapprox_percentile_cont(Int32, Float64)\n\tapprox_percentile_cont(Int32, Float64, Int8)\n\tapprox_percentile_cont(Int32, Float64, Int16)\n\tapprox_percentile_cont(Int32, Float64, Int32)\n\tapprox_percentile_cont(Int32, Float64, Int64)\n\tapprox_percentile_cont(Int32, Float64, UInt8)\n\tapprox_percentile_cont(Int32, Float64, UInt16)\n\tapprox_percentile_cont(Int32, Float64, UInt32)\n\tapprox_percentile_cont(Int32, Float64, UInt64)\n\tapprox_percentile_cont(Int64, Float64)\n\tapprox_percentile_cont(Int64, Float64, Int8)\n\tapprox_percentile_cont(Int64, Float64, Int16)\n\tapprox_percentile_cont(Int64, Float64, Int32)\n\tapprox_percentile_cont(Int64, Float64, Int64)\n\tapprox_percentile_cont(Int64, Float64, UInt8)\n\tapprox_percentile_cont(Int64, Float64, UInt16)\n\tapprox_percentile_cont(Int64, Float64, UInt32)\n\tapprox_percentile_cont(Int64, Float64, UInt64)\n\tapprox_percentile_cont(UInt8, Float64)\n\tapprox_percentile_cont(UInt8, Float64, Int8)\n\tapprox_percentile_cont(UInt8, Float64, Int16)\n\tapprox_percentile_cont(UInt8, Float64, Int32)\n\tapprox_percentile_cont(UInt8, Float64, Int64)\n\tapprox_percentile_cont(UInt8, Float64, UInt8)\n\tapprox_percentile_cont(UInt8, Float64, UInt16)\n\tapprox_percentile_cont(UInt8, Float64, UInt32)\n\tapprox_percentile_cont(UInt8, Float64, UInt64)\n\tapprox_percentile_cont(UInt16, Float64)\n\tapprox_percentile_cont(UInt16, Float64, Int8)\n\tapprox_percentile_cont(UInt16, Float64, Int16)\n\tapprox_percentile_cont(UInt16, Float64, Int32)\n\tapprox_percentile_cont(UInt16, Float64, Int64)\n\tapprox_percentile_cont(UInt16, Float64, UInt8)\n\tapprox_percentile_cont(UInt16, Float64, UInt16)\n\tapprox_percentile_cont(UInt16, Float64, UInt32)\n\tapprox_percentile_cont(UInt16, Float64, UInt64)\n\tapprox_percentile_cont(UInt32, Float64)\n\tapprox_percentile_cont(UInt32, Float64, Int8)\n\tapprox_percentile_cont(UInt32, Float64, Int16)\n\tapprox_percentile_cont(UInt32, Float64, Int32)\n\tapprox_percentile_cont(UInt32, Float64, Int64)\n\tapprox_percentile_cont(UInt32, Float64, UInt8)\n\tapprox_percentile_cont(UInt32, Float64, UInt16)\n\tapprox_percentile_cont(UInt32, Float64, UInt32)\n\tapprox_percentile_cont(UInt32, Float64, UInt64)\n\tapprox_percentile_cont(UInt64, Float64)\n\tapprox_percentile_cont(UInt64, Float64, Int8)\n\tapprox_percentile_cont(UInt64, Float64, Int16)\n\tapprox_percentile_cont(UInt64, Float64, Int32)\n\tapprox_percentile_cont(UInt64, Float64, Int64)\n\tapprox_percentile_cont(UInt64, Float64, UInt8)\n\tapprox_percentile_cont(UInt64, Float64, UInt16)\n\tapprox_percentile_cont(UInt64, Float64, UInt32)\n\tapprox_percentile_cont(UInt64, Float64, UInt64)\n\tapprox_percentile_cont(Float32, Float64)\n\tapprox_percentile_cont(Float32, Float64, Int8)\n\tapprox_percentile_cont(Float32, Float64, Int16)\n\tapprox_percentile_cont(Float32, Float64, Int32)\n\tapprox_percentile_cont(Float32, Float64, Int64)\n\tapprox_percentile_cont(Float32, Float64, UInt8)\n\tapprox_percentile_cont(Float32, Float64, UInt16)\n\tapprox_percentile_cont(Float32, Float64, UInt32)\n\tapprox_percentile_cont(Float32, Float64, UInt64)\n\tapprox_percentile_cont(Float64, Float64)\n\tapprox_percentile_cont(Float64, Float64, Int8)\n\tapprox_percentile_cont(Float64, Float64, Int16)\n\tapprox_percentile_cont(Float64, Float64, Int32)\n\tapprox_percentile_cont(Float64, Float64, Int64)\n\tapprox_percentile_cont(Float64, Float64, UInt8)\n\tapprox_percentile_cont(Float64, Float64, UInt16)\n\tapprox_percentile_cont(Float64, Float64, UInt32)\n\tapprox_percentile_cont(Float64, Float64, UInt64)"
+        "failure": "error in DataFusion: Error during planning: Failed to coerce arguments to satisfy a call to 'approx_percentile_cont' function: coercion from [Interval(YearMonth), Decimal128(1, 1), Int32] to the signature OneOf([Exact([Int8, Float64]), Exact([Int8, Float64, Int8]), Exact([Int8, Float64, Int16]), Exact([Int8, Float64, Int32]), Exact([Int8, Float64, Int64]), Exact([Int8, Float64, UInt8]), Exact([Int8, Float64, UInt16]), Exact([Int8, Float64, UInt32]), Exact([Int8, Float64, UInt64]), Exact([Int16, Float64]), Exact([Int16, Float64, Int8]), Exact([Int16, Float64, Int16]), Exact([Int16, Float64, Int32]), Exact([Int16, Float64, Int64]), Exact([Int16, Float64, UInt8]), Exact([Int16, Float64, UInt16]), Exact([Int16, Float64, UInt32]), Exact([Int16, Float64, UInt64]), Exact([Int32, Float64]), Exact([Int32, Float64, Int8]), Exact([Int32, Float64, Int16]), Exact([Int32, Float64, Int32]), Exact([Int32, Float64, Int64]), Exact([Int32, Float64, UInt8]), Exact([Int32, Float64, UInt16]), Exact([Int32, Float64, UInt32]), Exact([Int32, Float64, UInt64]), Exact([Int64, Float64]), Exact([Int64, Float64, Int8]), Exact([Int64, Float64, Int16]), Exact([Int64, Float64, Int32]), Exact([Int64, Float64, Int64]), Exact([Int64, Float64, UInt8]), Exact([Int64, Float64, UInt16]), Exact([Int64, Float64, UInt32]), Exact([Int64, Float64, UInt64]), Exact([UInt8, Float64]), Exact([UInt8, Float64, Int8]), Exact([UInt8, Float64, Int16]), Exact([UInt8, Float64, Int32]), Exact([UInt8, Float64, Int64]), Exact([UInt8, Float64, UInt8]), Exact([UInt8, Float64, UInt16]), Exact([UInt8, Float64, UInt32]), Exact([UInt8, Float64, UInt64]), Exact([UInt16, Float64]), Exact([UInt16, Float64, Int8]), Exact([UInt16, Float64, Int16]), Exact([UInt16, Float64, Int32]), Exact([UInt16, Float64, Int64]), Exact([UInt16, Float64, UInt8]), Exact([UInt16, Float64, UInt16]), Exact([UInt16, Float64, UInt32]), Exact([UInt16, Float64, UInt64]), Exact([UInt32, Float64]), Exact([UInt32, Float64, Int8]), Exact([UInt32, Float64, Int16]), Exact([UInt32, Float64, Int32]), Exact([UInt32, Float64, Int64]), Exact([UInt32, Float64, UInt8]), Exact([UInt32, Float64, UInt16]), Exact([UInt32, Float64, UInt32]), Exact([UInt32, Float64, UInt64]), Exact([UInt64, Float64]), Exact([UInt64, Float64, Int8]), Exact([UInt64, Float64, Int16]), Exact([UInt64, Float64, Int32]), Exact([UInt64, Float64, Int64]), Exact([UInt64, Float64, UInt8]), Exact([UInt64, Float64, UInt16]), Exact([UInt64, Float64, UInt32]), Exact([UInt64, Float64, UInt64]), Exact([Float32, Float64]), Exact([Float32, Float64, Int8]), Exact([Float32, Float64, Int16]), Exact([Float32, Float64, Int32]), Exact([Float32, Float64, Int64]), Exact([Float32, Float64, UInt8]), Exact([Float32, Float64, UInt16]), Exact([Float32, Float64, UInt32]), Exact([Float32, Float64, UInt64]), Exact([Float64, Float64]), Exact([Float64, Float64, Int8]), Exact([Float64, Float64, Int16]), Exact([Float64, Float64, Int32]), Exact([Float64, Float64, Int64]), Exact([Float64, Float64, UInt8]), Exact([Float64, Float64, UInt16]), Exact([Float64, Float64, UInt32]), Exact([Float64, Float64, UInt64])]) failed No function matches the given name and argument types 'approx_percentile_cont(Interval(YearMonth), Decimal128(1, 1), Int32)'. You might need to add explicit type casts.\n\tCandidate functions:\n\tapprox_percentile_cont(Int8, Float64)\n\tapprox_percentile_cont(Int8, Float64, Int8)\n\tapprox_percentile_cont(Int8, Float64, Int16)\n\tapprox_percentile_cont(Int8, Float64, Int32)\n\tapprox_percentile_cont(Int8, Float64, Int64)\n\tapprox_percentile_cont(Int8, Float64, UInt8)\n\tapprox_percentile_cont(Int8, Float64, UInt16)\n\tapprox_percentile_cont(Int8, Float64, UInt32)\n\tapprox_percentile_cont(Int8, Float64, UInt64)\n\tapprox_percentile_cont(Int16, Float64)\n\tapprox_percentile_cont(Int16, Float64, Int8)\n\tapprox_percentile_cont(Int16, Float64, Int16)\n\tapprox_percentile_cont(Int16, Float64, Int32)\n\tapprox_percentile_cont(Int16, Float64, Int64)\n\tapprox_percentile_cont(Int16, Float64, UInt8)\n\tapprox_percentile_cont(Int16, Float64, UInt16)\n\tapprox_percentile_cont(Int16, Float64, UInt32)\n\tapprox_percentile_cont(Int16, Float64, UInt64)\n\tapprox_percentile_cont(Int32, Float64)\n\tapprox_percentile_cont(Int32, Float64, Int8)\n\tapprox_percentile_cont(Int32, Float64, Int16)\n\tapprox_percentile_cont(Int32, Float64, Int32)\n\tapprox_percentile_cont(Int32, Float64, Int64)\n\tapprox_percentile_cont(Int32, Float64, UInt8)\n\tapprox_percentile_cont(Int32, Float64, UInt16)\n\tapprox_percentile_cont(Int32, Float64, UInt32)\n\tapprox_percentile_cont(Int32, Float64, UInt64)\n\tapprox_percentile_cont(Int64, Float64)\n\tapprox_percentile_cont(Int64, Float64, Int8)\n\tapprox_percentile_cont(Int64, Float64, Int16)\n\tapprox_percentile_cont(Int64, Float64, Int32)\n\tapprox_percentile_cont(Int64, Float64, Int64)\n\tapprox_percentile_cont(Int64, Float64, UInt8)\n\tapprox_percentile_cont(Int64, Float64, UInt16)\n\tapprox_percentile_cont(Int64, Float64, UInt32)\n\tapprox_percentile_cont(Int64, Float64, UInt64)\n\tapprox_percentile_cont(UInt8, Float64)\n\tapprox_percentile_cont(UInt8, Float64, Int8)\n\tapprox_percentile_cont(UInt8, Float64, Int16)\n\tapprox_percentile_cont(UInt8, Float64, Int32)\n\tapprox_percentile_cont(UInt8, Float64, Int64)\n\tapprox_percentile_cont(UInt8, Float64, UInt8)\n\tapprox_percentile_cont(UInt8, Float64, UInt16)\n\tapprox_percentile_cont(UInt8, Float64, UInt32)\n\tapprox_percentile_cont(UInt8, Float64, UInt64)\n\tapprox_percentile_cont(UInt16, Float64)\n\tapprox_percentile_cont(UInt16, Float64, Int8)\n\tapprox_percentile_cont(UInt16, Float64, Int16)\n\tapprox_percentile_cont(UInt16, Float64, Int32)\n\tapprox_percentile_cont(UInt16, Float64, Int64)\n\tapprox_percentile_cont(UInt16, Float64, UInt8)\n\tapprox_percentile_cont(UInt16, Float64, UInt16)\n\tapprox_percentile_cont(UInt16, Float64, UInt32)\n\tapprox_percentile_cont(UInt16, Float64, UInt64)\n\tapprox_percentile_cont(UInt32, Float64)\n\tapprox_percentile_cont(UInt32, Float64, Int8)\n\tapprox_percentile_cont(UInt32, Float64, Int16)\n\tapprox_percentile_cont(UInt32, Float64, Int32)\n\tapprox_percentile_cont(UInt32, Float64, Int64)\n\tapprox_percentile_cont(UInt32, Float64, UInt8)\n\tapprox_percentile_cont(UInt32, Float64, UInt16)\n\tapprox_percentile_cont(UInt32, Float64, UInt32)\n\tapprox_percentile_cont(UInt32, Float64, UInt64)\n\tapprox_percentile_cont(UInt64, Float64)\n\tapprox_percentile_cont(UInt64, Float64, Int8)\n\tapprox_percentile_cont(UInt64, Float64, Int16)\n\tapprox_percentile_cont(UInt64, Float64, Int32)\n\tapprox_percentile_cont(UInt64, Float64, Int64)\n\tapprox_percentile_cont(UInt64, Float64, UInt8)\n\tapprox_percentile_cont(UInt64, Float64, UInt16)\n\tapprox_percentile_cont(UInt64, Float64, UInt32)\n\tapprox_percentile_cont(UInt64, Float64, UInt64)\n\tapprox_percentile_cont(Float32, Float64)\n\tapprox_percentile_cont(Float32, Float64, Int8)\n\tapprox_percentile_cont(Float32, Float64, Int16)\n\tapprox_percentile_cont(Float32, Float64, Int32)\n\tapprox_percentile_cont(Float32, Float64, Int64)\n\tapprox_percentile_cont(Float32, Float64, UInt8)\n\tapprox_percentile_cont(Float32, Float64, UInt16)\n\tapprox_percentile_cont(Float32, Float64, UInt32)\n\tapprox_percentile_cont(Float32, Float64, UInt64)\n\tapprox_percentile_cont(Float64, Float64)\n\tapprox_percentile_cont(Float64, Float64, Int8)\n\tapprox_percentile_cont(Float64, Float64, Int16)\n\tapprox_percentile_cont(Float64, Float64, Int32)\n\tapprox_percentile_cont(Float64, Float64, Int64)\n\tapprox_percentile_cont(Float64, Float64, UInt8)\n\tapprox_percentile_cont(Float64, Float64, UInt16)\n\tapprox_percentile_cont(Float64, Float64, UInt32)\n\tapprox_percentile_cont(Float64, Float64, UInt64)"
       }
     },
     {
@@ -1715,7 +1715,7 @@
         }
       },
       "output": {
-        "failure": "error in DataFusion: Error during planning: Error during planning: Failed to coerce arguments to satisfy a call to approx_percentile_cont function: coercion from [Int32, List(Field { name: \"item\", data_type: Decimal128(1, 1), nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), Int32] to the signature OneOf([Exact([Int8, Float64]), Exact([Int8, Float64, Int8]), Exact([Int8, Float64, Int16]), Exact([Int8, Float64, Int32]), Exact([Int8, Float64, Int64]), Exact([Int8, Float64, UInt8]), Exact([Int8, Float64, UInt16]), Exact([Int8, Float64, UInt32]), Exact([Int8, Float64, UInt64]), Exact([Int16, Float64]), Exact([Int16, Float64, Int8]), Exact([Int16, Float64, Int16]), Exact([Int16, Float64, Int32]), Exact([Int16, Float64, Int64]), Exact([Int16, Float64, UInt8]), Exact([Int16, Float64, UInt16]), Exact([Int16, Float64, UInt32]), Exact([Int16, Float64, UInt64]), Exact([Int32, Float64]), Exact([Int32, Float64, Int8]), Exact([Int32, Float64, Int16]), Exact([Int32, Float64, Int32]), Exact([Int32, Float64, Int64]), Exact([Int32, Float64, UInt8]), Exact([Int32, Float64, UInt16]), Exact([Int32, Float64, UInt32]), Exact([Int32, Float64, UInt64]), Exact([Int64, Float64]), Exact([Int64, Float64, Int8]), Exact([Int64, Float64, Int16]), Exact([Int64, Float64, Int32]), Exact([Int64, Float64, Int64]), Exact([Int64, Float64, UInt8]), Exact([Int64, Float64, UInt16]), Exact([Int64, Float64, UInt32]), Exact([Int64, Float64, UInt64]), Exact([UInt8, Float64]), Exact([UInt8, Float64, Int8]), Exact([UInt8, Float64, Int16]), Exact([UInt8, Float64, Int32]), Exact([UInt8, Float64, Int64]), Exact([UInt8, Float64, UInt8]), Exact([UInt8, Float64, UInt16]), Exact([UInt8, Float64, UInt32]), Exact([UInt8, Float64, UInt64]), Exact([UInt16, Float64]), Exact([UInt16, Float64, Int8]), Exact([UInt16, Float64, Int16]), Exact([UInt16, Float64, Int32]), Exact([UInt16, Float64, Int64]), Exact([UInt16, Float64, UInt8]), Exact([UInt16, Float64, UInt16]), Exact([UInt16, Float64, UInt32]), Exact([UInt16, Float64, UInt64]), Exact([UInt32, Float64]), Exact([UInt32, Float64, Int8]), Exact([UInt32, Float64, Int16]), Exact([UInt32, Float64, Int32]), Exact([UInt32, Float64, Int64]), Exact([UInt32, Float64, UInt8]), Exact([UInt32, Float64, UInt16]), Exact([UInt32, Float64, UInt32]), Exact([UInt32, Float64, UInt64]), Exact([UInt64, Float64]), Exact([UInt64, Float64, Int8]), Exact([UInt64, Float64, Int16]), Exact([UInt64, Float64, Int32]), Exact([UInt64, Float64, Int64]), Exact([UInt64, Float64, UInt8]), Exact([UInt64, Float64, UInt16]), Exact([UInt64, Float64, UInt32]), Exact([UInt64, Float64, UInt64]), Exact([Float32, Float64]), Exact([Float32, Float64, Int8]), Exact([Float32, Float64, Int16]), Exact([Float32, Float64, Int32]), Exact([Float32, Float64, Int64]), Exact([Float32, Float64, UInt8]), Exact([Float32, Float64, UInt16]), Exact([Float32, Float64, UInt32]), Exact([Float32, Float64, UInt64]), Exact([Float64, Float64]), Exact([Float64, Float64, Int8]), Exact([Float64, Float64, Int16]), Exact([Float64, Float64, Int32]), Exact([Float64, Float64, Int64]), Exact([Float64, Float64, UInt8]), Exact([Float64, Float64, UInt16]), Exact([Float64, Float64, UInt32]), Exact([Float64, Float64, UInt64])]) failed. No function matches the given name and argument types 'approx_percentile_cont(Int32, List(Field { name: \"item\", data_type: Decimal128(1, 1), nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), Int32)'. You might need to add explicit type casts.\n\tCandidate functions:\n\tapprox_percentile_cont(Int8, Float64)\n\tapprox_percentile_cont(Int8, Float64, Int8)\n\tapprox_percentile_cont(Int8, Float64, Int16)\n\tapprox_percentile_cont(Int8, Float64, Int32)\n\tapprox_percentile_cont(Int8, Float64, Int64)\n\tapprox_percentile_cont(Int8, Float64, UInt8)\n\tapprox_percentile_cont(Int8, Float64, UInt16)\n\tapprox_percentile_cont(Int8, Float64, UInt32)\n\tapprox_percentile_cont(Int8, Float64, UInt64)\n\tapprox_percentile_cont(Int16, Float64)\n\tapprox_percentile_cont(Int16, Float64, Int8)\n\tapprox_percentile_cont(Int16, Float64, Int16)\n\tapprox_percentile_cont(Int16, Float64, Int32)\n\tapprox_percentile_cont(Int16, Float64, Int64)\n\tapprox_percentile_cont(Int16, Float64, UInt8)\n\tapprox_percentile_cont(Int16, Float64, UInt16)\n\tapprox_percentile_cont(Int16, Float64, UInt32)\n\tapprox_percentile_cont(Int16, Float64, UInt64)\n\tapprox_percentile_cont(Int32, Float64)\n\tapprox_percentile_cont(Int32, Float64, Int8)\n\tapprox_percentile_cont(Int32, Float64, Int16)\n\tapprox_percentile_cont(Int32, Float64, Int32)\n\tapprox_percentile_cont(Int32, Float64, Int64)\n\tapprox_percentile_cont(Int32, Float64, UInt8)\n\tapprox_percentile_cont(Int32, Float64, UInt16)\n\tapprox_percentile_cont(Int32, Float64, UInt32)\n\tapprox_percentile_cont(Int32, Float64, UInt64)\n\tapprox_percentile_cont(Int64, Float64)\n\tapprox_percentile_cont(Int64, Float64, Int8)\n\tapprox_percentile_cont(Int64, Float64, Int16)\n\tapprox_percentile_cont(Int64, Float64, Int32)\n\tapprox_percentile_cont(Int64, Float64, Int64)\n\tapprox_percentile_cont(Int64, Float64, UInt8)\n\tapprox_percentile_cont(Int64, Float64, UInt16)\n\tapprox_percentile_cont(Int64, Float64, UInt32)\n\tapprox_percentile_cont(Int64, Float64, UInt64)\n\tapprox_percentile_cont(UInt8, Float64)\n\tapprox_percentile_cont(UInt8, Float64, Int8)\n\tapprox_percentile_cont(UInt8, Float64, Int16)\n\tapprox_percentile_cont(UInt8, Float64, Int32)\n\tapprox_percentile_cont(UInt8, Float64, Int64)\n\tapprox_percentile_cont(UInt8, Float64, UInt8)\n\tapprox_percentile_cont(UInt8, Float64, UInt16)\n\tapprox_percentile_cont(UInt8, Float64, UInt32)\n\tapprox_percentile_cont(UInt8, Float64, UInt64)\n\tapprox_percentile_cont(UInt16, Float64)\n\tapprox_percentile_cont(UInt16, Float64, Int8)\n\tapprox_percentile_cont(UInt16, Float64, Int16)\n\tapprox_percentile_cont(UInt16, Float64, Int32)\n\tapprox_percentile_cont(UInt16, Float64, Int64)\n\tapprox_percentile_cont(UInt16, Float64, UInt8)\n\tapprox_percentile_cont(UInt16, Float64, UInt16)\n\tapprox_percentile_cont(UInt16, Float64, UInt32)\n\tapprox_percentile_cont(UInt16, Float64, UInt64)\n\tapprox_percentile_cont(UInt32, Float64)\n\tapprox_percentile_cont(UInt32, Float64, Int8)\n\tapprox_percentile_cont(UInt32, Float64, Int16)\n\tapprox_percentile_cont(UInt32, Float64, Int32)\n\tapprox_percentile_cont(UInt32, Float64, Int64)\n\tapprox_percentile_cont(UInt32, Float64, UInt8)\n\tapprox_percentile_cont(UInt32, Float64, UInt16)\n\tapprox_percentile_cont(UInt32, Float64, UInt32)\n\tapprox_percentile_cont(UInt32, Float64, UInt64)\n\tapprox_percentile_cont(UInt64, Float64)\n\tapprox_percentile_cont(UInt64, Float64, Int8)\n\tapprox_percentile_cont(UInt64, Float64, Int16)\n\tapprox_percentile_cont(UInt64, Float64, Int32)\n\tapprox_percentile_cont(UInt64, Float64, Int64)\n\tapprox_percentile_cont(UInt64, Float64, UInt8)\n\tapprox_percentile_cont(UInt64, Float64, UInt16)\n\tapprox_percentile_cont(UInt64, Float64, UInt32)\n\tapprox_percentile_cont(UInt64, Float64, UInt64)\n\tapprox_percentile_cont(Float32, Float64)\n\tapprox_percentile_cont(Float32, Float64, Int8)\n\tapprox_percentile_cont(Float32, Float64, Int16)\n\tapprox_percentile_cont(Float32, Float64, Int32)\n\tapprox_percentile_cont(Float32, Float64, Int64)\n\tapprox_percentile_cont(Float32, Float64, UInt8)\n\tapprox_percentile_cont(Float32, Float64, UInt16)\n\tapprox_percentile_cont(Float32, Float64, UInt32)\n\tapprox_percentile_cont(Float32, Float64, UInt64)\n\tapprox_percentile_cont(Float64, Float64)\n\tapprox_percentile_cont(Float64, Float64, Int8)\n\tapprox_percentile_cont(Float64, Float64, Int16)\n\tapprox_percentile_cont(Float64, Float64, Int32)\n\tapprox_percentile_cont(Float64, Float64, Int64)\n\tapprox_percentile_cont(Float64, Float64, UInt8)\n\tapprox_percentile_cont(Float64, Float64, UInt16)\n\tapprox_percentile_cont(Float64, Float64, UInt32)\n\tapprox_percentile_cont(Float64, Float64, UInt64)"
+        "failure": "error in DataFusion: Error during planning: Failed to coerce arguments to satisfy a call to 'approx_percentile_cont' function: coercion from [Int32, List(Field { name: \"item\", data_type: Decimal128(1, 1), nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), Int32] to the signature OneOf([Exact([Int8, Float64]), Exact([Int8, Float64, Int8]), Exact([Int8, Float64, Int16]), Exact([Int8, Float64, Int32]), Exact([Int8, Float64, Int64]), Exact([Int8, Float64, UInt8]), Exact([Int8, Float64, UInt16]), Exact([Int8, Float64, UInt32]), Exact([Int8, Float64, UInt64]), Exact([Int16, Float64]), Exact([Int16, Float64, Int8]), Exact([Int16, Float64, Int16]), Exact([Int16, Float64, Int32]), Exact([Int16, Float64, Int64]), Exact([Int16, Float64, UInt8]), Exact([Int16, Float64, UInt16]), Exact([Int16, Float64, UInt32]), Exact([Int16, Float64, UInt64]), Exact([Int32, Float64]), Exact([Int32, Float64, Int8]), Exact([Int32, Float64, Int16]), Exact([Int32, Float64, Int32]), Exact([Int32, Float64, Int64]), Exact([Int32, Float64, UInt8]), Exact([Int32, Float64, UInt16]), Exact([Int32, Float64, UInt32]), Exact([Int32, Float64, UInt64]), Exact([Int64, Float64]), Exact([Int64, Float64, Int8]), Exact([Int64, Float64, Int16]), Exact([Int64, Float64, Int32]), Exact([Int64, Float64, Int64]), Exact([Int64, Float64, UInt8]), Exact([Int64, Float64, UInt16]), Exact([Int64, Float64, UInt32]), Exact([Int64, Float64, UInt64]), Exact([UInt8, Float64]), Exact([UInt8, Float64, Int8]), Exact([UInt8, Float64, Int16]), Exact([UInt8, Float64, Int32]), Exact([UInt8, Float64, Int64]), Exact([UInt8, Float64, UInt8]), Exact([UInt8, Float64, UInt16]), Exact([UInt8, Float64, UInt32]), Exact([UInt8, Float64, UInt64]), Exact([UInt16, Float64]), Exact([UInt16, Float64, Int8]), Exact([UInt16, Float64, Int16]), Exact([UInt16, Float64, Int32]), Exact([UInt16, Float64, Int64]), Exact([UInt16, Float64, UInt8]), Exact([UInt16, Float64, UInt16]), Exact([UInt16, Float64, UInt32]), Exact([UInt16, Float64, UInt64]), Exact([UInt32, Float64]), Exact([UInt32, Float64, Int8]), Exact([UInt32, Float64, Int16]), Exact([UInt32, Float64, Int32]), Exact([UInt32, Float64, Int64]), Exact([UInt32, Float64, UInt8]), Exact([UInt32, Float64, UInt16]), Exact([UInt32, Float64, UInt32]), Exact([UInt32, Float64, UInt64]), Exact([UInt64, Float64]), Exact([UInt64, Float64, Int8]), Exact([UInt64, Float64, Int16]), Exact([UInt64, Float64, Int32]), Exact([UInt64, Float64, Int64]), Exact([UInt64, Float64, UInt8]), Exact([UInt64, Float64, UInt16]), Exact([UInt64, Float64, UInt32]), Exact([UInt64, Float64, UInt64]), Exact([Float32, Float64]), Exact([Float32, Float64, Int8]), Exact([Float32, Float64, Int16]), Exact([Float32, Float64, Int32]), Exact([Float32, Float64, Int64]), Exact([Float32, Float64, UInt8]), Exact([Float32, Float64, UInt16]), Exact([Float32, Float64, UInt32]), Exact([Float32, Float64, UInt64]), Exact([Float64, Float64]), Exact([Float64, Float64, Int8]), Exact([Float64, Float64, Int16]), Exact([Float64, Float64, Int32]), Exact([Float64, Float64, Int64]), Exact([Float64, Float64, UInt8]), Exact([Float64, Float64, UInt16]), Exact([Float64, Float64, UInt32]), Exact([Float64, Float64, UInt64])]) failed No function matches the given name and argument types 'approx_percentile_cont(Int32, List(Field { name: \"item\", data_type: Decimal128(1, 1), nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), Int32)'. You might need to add explicit type casts.\n\tCandidate functions:\n\tapprox_percentile_cont(Int8, Float64)\n\tapprox_percentile_cont(Int8, Float64, Int8)\n\tapprox_percentile_cont(Int8, Float64, Int16)\n\tapprox_percentile_cont(Int8, Float64, Int32)\n\tapprox_percentile_cont(Int8, Float64, Int64)\n\tapprox_percentile_cont(Int8, Float64, UInt8)\n\tapprox_percentile_cont(Int8, Float64, UInt16)\n\tapprox_percentile_cont(Int8, Float64, UInt32)\n\tapprox_percentile_cont(Int8, Float64, UInt64)\n\tapprox_percentile_cont(Int16, Float64)\n\tapprox_percentile_cont(Int16, Float64, Int8)\n\tapprox_percentile_cont(Int16, Float64, Int16)\n\tapprox_percentile_cont(Int16, Float64, Int32)\n\tapprox_percentile_cont(Int16, Float64, Int64)\n\tapprox_percentile_cont(Int16, Float64, UInt8)\n\tapprox_percentile_cont(Int16, Float64, UInt16)\n\tapprox_percentile_cont(Int16, Float64, UInt32)\n\tapprox_percentile_cont(Int16, Float64, UInt64)\n\tapprox_percentile_cont(Int32, Float64)\n\tapprox_percentile_cont(Int32, Float64, Int8)\n\tapprox_percentile_cont(Int32, Float64, Int16)\n\tapprox_percentile_cont(Int32, Float64, Int32)\n\tapprox_percentile_cont(Int32, Float64, Int64)\n\tapprox_percentile_cont(Int32, Float64, UInt8)\n\tapprox_percentile_cont(Int32, Float64, UInt16)\n\tapprox_percentile_cont(Int32, Float64, UInt32)\n\tapprox_percentile_cont(Int32, Float64, UInt64)\n\tapprox_percentile_cont(Int64, Float64)\n\tapprox_percentile_cont(Int64, Float64, Int8)\n\tapprox_percentile_cont(Int64, Float64, Int16)\n\tapprox_percentile_cont(Int64, Float64, Int32)\n\tapprox_percentile_cont(Int64, Float64, Int64)\n\tapprox_percentile_cont(Int64, Float64, UInt8)\n\tapprox_percentile_cont(Int64, Float64, UInt16)\n\tapprox_percentile_cont(Int64, Float64, UInt32)\n\tapprox_percentile_cont(Int64, Float64, UInt64)\n\tapprox_percentile_cont(UInt8, Float64)\n\tapprox_percentile_cont(UInt8, Float64, Int8)\n\tapprox_percentile_cont(UInt8, Float64, Int16)\n\tapprox_percentile_cont(UInt8, Float64, Int32)\n\tapprox_percentile_cont(UInt8, Float64, Int64)\n\tapprox_percentile_cont(UInt8, Float64, UInt8)\n\tapprox_percentile_cont(UInt8, Float64, UInt16)\n\tapprox_percentile_cont(UInt8, Float64, UInt32)\n\tapprox_percentile_cont(UInt8, Float64, UInt64)\n\tapprox_percentile_cont(UInt16, Float64)\n\tapprox_percentile_cont(UInt16, Float64, Int8)\n\tapprox_percentile_cont(UInt16, Float64, Int16)\n\tapprox_percentile_cont(UInt16, Float64, Int32)\n\tapprox_percentile_cont(UInt16, Float64, Int64)\n\tapprox_percentile_cont(UInt16, Float64, UInt8)\n\tapprox_percentile_cont(UInt16, Float64, UInt16)\n\tapprox_percentile_cont(UInt16, Float64, UInt32)\n\tapprox_percentile_cont(UInt16, Float64, UInt64)\n\tapprox_percentile_cont(UInt32, Float64)\n\tapprox_percentile_cont(UInt32, Float64, Int8)\n\tapprox_percentile_cont(UInt32, Float64, Int16)\n\tapprox_percentile_cont(UInt32, Float64, Int32)\n\tapprox_percentile_cont(UInt32, Float64, Int64)\n\tapprox_percentile_cont(UInt32, Float64, UInt8)\n\tapprox_percentile_cont(UInt32, Float64, UInt16)\n\tapprox_percentile_cont(UInt32, Float64, UInt32)\n\tapprox_percentile_cont(UInt32, Float64, UInt64)\n\tapprox_percentile_cont(UInt64, Float64)\n\tapprox_percentile_cont(UInt64, Float64, Int8)\n\tapprox_percentile_cont(UInt64, Float64, Int16)\n\tapprox_percentile_cont(UInt64, Float64, Int32)\n\tapprox_percentile_cont(UInt64, Float64, Int64)\n\tapprox_percentile_cont(UInt64, Float64, UInt8)\n\tapprox_percentile_cont(UInt64, Float64, UInt16)\n\tapprox_percentile_cont(UInt64, Float64, UInt32)\n\tapprox_percentile_cont(UInt64, Float64, UInt64)\n\tapprox_percentile_cont(Float32, Float64)\n\tapprox_percentile_cont(Float32, Float64, Int8)\n\tapprox_percentile_cont(Float32, Float64, Int16)\n\tapprox_percentile_cont(Float32, Float64, Int32)\n\tapprox_percentile_cont(Float32, Float64, Int64)\n\tapprox_percentile_cont(Float32, Float64, UInt8)\n\tapprox_percentile_cont(Float32, Float64, UInt16)\n\tapprox_percentile_cont(Float32, Float64, UInt32)\n\tapprox_percentile_cont(Float32, Float64, UInt64)\n\tapprox_percentile_cont(Float64, Float64)\n\tapprox_percentile_cont(Float64, Float64, Int8)\n\tapprox_percentile_cont(Float64, Float64, Int16)\n\tapprox_percentile_cont(Float64, Float64, Int32)\n\tapprox_percentile_cont(Float64, Float64, Int64)\n\tapprox_percentile_cont(Float64, Float64, UInt8)\n\tapprox_percentile_cont(Float64, Float64, UInt16)\n\tapprox_percentile_cont(Float64, Float64, UInt32)\n\tapprox_percentile_cont(Float64, Float64, UInt64)"
       }
     },
     {
@@ -1741,7 +1741,7 @@
         }
       },
       "output": {
-        "failure": "error in DataFusion: Error during planning: Error during planning: Failed to coerce arguments to satisfy a call to approx_percentile_cont function: coercion from [Interval(DayTime), List(Field { name: \"item\", data_type: Decimal128(1, 1), nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), Int32] to the signature OneOf([Exact([Int8, Float64]), Exact([Int8, Float64, Int8]), Exact([Int8, Float64, Int16]), Exact([Int8, Float64, Int32]), Exact([Int8, Float64, Int64]), Exact([Int8, Float64, UInt8]), Exact([Int8, Float64, UInt16]), Exact([Int8, Float64, UInt32]), Exact([Int8, Float64, UInt64]), Exact([Int16, Float64]), Exact([Int16, Float64, Int8]), Exact([Int16, Float64, Int16]), Exact([Int16, Float64, Int32]), Exact([Int16, Float64, Int64]), Exact([Int16, Float64, UInt8]), Exact([Int16, Float64, UInt16]), Exact([Int16, Float64, UInt32]), Exact([Int16, Float64, UInt64]), Exact([Int32, Float64]), Exact([Int32, Float64, Int8]), Exact([Int32, Float64, Int16]), Exact([Int32, Float64, Int32]), Exact([Int32, Float64, Int64]), Exact([Int32, Float64, UInt8]), Exact([Int32, Float64, UInt16]), Exact([Int32, Float64, UInt32]), Exact([Int32, Float64, UInt64]), Exact([Int64, Float64]), Exact([Int64, Float64, Int8]), Exact([Int64, Float64, Int16]), Exact([Int64, Float64, Int32]), Exact([Int64, Float64, Int64]), Exact([Int64, Float64, UInt8]), Exact([Int64, Float64, UInt16]), Exact([Int64, Float64, UInt32]), Exact([Int64, Float64, UInt64]), Exact([UInt8, Float64]), Exact([UInt8, Float64, Int8]), Exact([UInt8, Float64, Int16]), Exact([UInt8, Float64, Int32]), Exact([UInt8, Float64, Int64]), Exact([UInt8, Float64, UInt8]), Exact([UInt8, Float64, UInt16]), Exact([UInt8, Float64, UInt32]), Exact([UInt8, Float64, UInt64]), Exact([UInt16, Float64]), Exact([UInt16, Float64, Int8]), Exact([UInt16, Float64, Int16]), Exact([UInt16, Float64, Int32]), Exact([UInt16, Float64, Int64]), Exact([UInt16, Float64, UInt8]), Exact([UInt16, Float64, UInt16]), Exact([UInt16, Float64, UInt32]), Exact([UInt16, Float64, UInt64]), Exact([UInt32, Float64]), Exact([UInt32, Float64, Int8]), Exact([UInt32, Float64, Int16]), Exact([UInt32, Float64, Int32]), Exact([UInt32, Float64, Int64]), Exact([UInt32, Float64, UInt8]), Exact([UInt32, Float64, UInt16]), Exact([UInt32, Float64, UInt32]), Exact([UInt32, Float64, UInt64]), Exact([UInt64, Float64]), Exact([UInt64, Float64, Int8]), Exact([UInt64, Float64, Int16]), Exact([UInt64, Float64, Int32]), Exact([UInt64, Float64, Int64]), Exact([UInt64, Float64, UInt8]), Exact([UInt64, Float64, UInt16]), Exact([UInt64, Float64, UInt32]), Exact([UInt64, Float64, UInt64]), Exact([Float32, Float64]), Exact([Float32, Float64, Int8]), Exact([Float32, Float64, Int16]), Exact([Float32, Float64, Int32]), Exact([Float32, Float64, Int64]), Exact([Float32, Float64, UInt8]), Exact([Float32, Float64, UInt16]), Exact([Float32, Float64, UInt32]), Exact([Float32, Float64, UInt64]), Exact([Float64, Float64]), Exact([Float64, Float64, Int8]), Exact([Float64, Float64, Int16]), Exact([Float64, Float64, Int32]), Exact([Float64, Float64, Int64]), Exact([Float64, Float64, UInt8]), Exact([Float64, Float64, UInt16]), Exact([Float64, Float64, UInt32]), Exact([Float64, Float64, UInt64])]) failed. No function matches the given name and argument types 'approx_percentile_cont(Interval(DayTime), List(Field { name: \"item\", data_type: Decimal128(1, 1), nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), Int32)'. You might need to add explicit type casts.\n\tCandidate functions:\n\tapprox_percentile_cont(Int8, Float64)\n\tapprox_percentile_cont(Int8, Float64, Int8)\n\tapprox_percentile_cont(Int8, Float64, Int16)\n\tapprox_percentile_cont(Int8, Float64, Int32)\n\tapprox_percentile_cont(Int8, Float64, Int64)\n\tapprox_percentile_cont(Int8, Float64, UInt8)\n\tapprox_percentile_cont(Int8, Float64, UInt16)\n\tapprox_percentile_cont(Int8, Float64, UInt32)\n\tapprox_percentile_cont(Int8, Float64, UInt64)\n\tapprox_percentile_cont(Int16, Float64)\n\tapprox_percentile_cont(Int16, Float64, Int8)\n\tapprox_percentile_cont(Int16, Float64, Int16)\n\tapprox_percentile_cont(Int16, Float64, Int32)\n\tapprox_percentile_cont(Int16, Float64, Int64)\n\tapprox_percentile_cont(Int16, Float64, UInt8)\n\tapprox_percentile_cont(Int16, Float64, UInt16)\n\tapprox_percentile_cont(Int16, Float64, UInt32)\n\tapprox_percentile_cont(Int16, Float64, UInt64)\n\tapprox_percentile_cont(Int32, Float64)\n\tapprox_percentile_cont(Int32, Float64, Int8)\n\tapprox_percentile_cont(Int32, Float64, Int16)\n\tapprox_percentile_cont(Int32, Float64, Int32)\n\tapprox_percentile_cont(Int32, Float64, Int64)\n\tapprox_percentile_cont(Int32, Float64, UInt8)\n\tapprox_percentile_cont(Int32, Float64, UInt16)\n\tapprox_percentile_cont(Int32, Float64, UInt32)\n\tapprox_percentile_cont(Int32, Float64, UInt64)\n\tapprox_percentile_cont(Int64, Float64)\n\tapprox_percentile_cont(Int64, Float64, Int8)\n\tapprox_percentile_cont(Int64, Float64, Int16)\n\tapprox_percentile_cont(Int64, Float64, Int32)\n\tapprox_percentile_cont(Int64, Float64, Int64)\n\tapprox_percentile_cont(Int64, Float64, UInt8)\n\tapprox_percentile_cont(Int64, Float64, UInt16)\n\tapprox_percentile_cont(Int64, Float64, UInt32)\n\tapprox_percentile_cont(Int64, Float64, UInt64)\n\tapprox_percentile_cont(UInt8, Float64)\n\tapprox_percentile_cont(UInt8, Float64, Int8)\n\tapprox_percentile_cont(UInt8, Float64, Int16)\n\tapprox_percentile_cont(UInt8, Float64, Int32)\n\tapprox_percentile_cont(UInt8, Float64, Int64)\n\tapprox_percentile_cont(UInt8, Float64, UInt8)\n\tapprox_percentile_cont(UInt8, Float64, UInt16)\n\tapprox_percentile_cont(UInt8, Float64, UInt32)\n\tapprox_percentile_cont(UInt8, Float64, UInt64)\n\tapprox_percentile_cont(UInt16, Float64)\n\tapprox_percentile_cont(UInt16, Float64, Int8)\n\tapprox_percentile_cont(UInt16, Float64, Int16)\n\tapprox_percentile_cont(UInt16, Float64, Int32)\n\tapprox_percentile_cont(UInt16, Float64, Int64)\n\tapprox_percentile_cont(UInt16, Float64, UInt8)\n\tapprox_percentile_cont(UInt16, Float64, UInt16)\n\tapprox_percentile_cont(UInt16, Float64, UInt32)\n\tapprox_percentile_cont(UInt16, Float64, UInt64)\n\tapprox_percentile_cont(UInt32, Float64)\n\tapprox_percentile_cont(UInt32, Float64, Int8)\n\tapprox_percentile_cont(UInt32, Float64, Int16)\n\tapprox_percentile_cont(UInt32, Float64, Int32)\n\tapprox_percentile_cont(UInt32, Float64, Int64)\n\tapprox_percentile_cont(UInt32, Float64, UInt8)\n\tapprox_percentile_cont(UInt32, Float64, UInt16)\n\tapprox_percentile_cont(UInt32, Float64, UInt32)\n\tapprox_percentile_cont(UInt32, Float64, UInt64)\n\tapprox_percentile_cont(UInt64, Float64)\n\tapprox_percentile_cont(UInt64, Float64, Int8)\n\tapprox_percentile_cont(UInt64, Float64, Int16)\n\tapprox_percentile_cont(UInt64, Float64, Int32)\n\tapprox_percentile_cont(UInt64, Float64, Int64)\n\tapprox_percentile_cont(UInt64, Float64, UInt8)\n\tapprox_percentile_cont(UInt64, Float64, UInt16)\n\tapprox_percentile_cont(UInt64, Float64, UInt32)\n\tapprox_percentile_cont(UInt64, Float64, UInt64)\n\tapprox_percentile_cont(Float32, Float64)\n\tapprox_percentile_cont(Float32, Float64, Int8)\n\tapprox_percentile_cont(Float32, Float64, Int16)\n\tapprox_percentile_cont(Float32, Float64, Int32)\n\tapprox_percentile_cont(Float32, Float64, Int64)\n\tapprox_percentile_cont(Float32, Float64, UInt8)\n\tapprox_percentile_cont(Float32, Float64, UInt16)\n\tapprox_percentile_cont(Float32, Float64, UInt32)\n\tapprox_percentile_cont(Float32, Float64, UInt64)\n\tapprox_percentile_cont(Float64, Float64)\n\tapprox_percentile_cont(Float64, Float64, Int8)\n\tapprox_percentile_cont(Float64, Float64, Int16)\n\tapprox_percentile_cont(Float64, Float64, Int32)\n\tapprox_percentile_cont(Float64, Float64, Int64)\n\tapprox_percentile_cont(Float64, Float64, UInt8)\n\tapprox_percentile_cont(Float64, Float64, UInt16)\n\tapprox_percentile_cont(Float64, Float64, UInt32)\n\tapprox_percentile_cont(Float64, Float64, UInt64)"
+        "failure": "error in DataFusion: Error during planning: Failed to coerce arguments to satisfy a call to 'approx_percentile_cont' function: coercion from [Interval(DayTime), List(Field { name: \"item\", data_type: Decimal128(1, 1), nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), Int32] to the signature OneOf([Exact([Int8, Float64]), Exact([Int8, Float64, Int8]), Exact([Int8, Float64, Int16]), Exact([Int8, Float64, Int32]), Exact([Int8, Float64, Int64]), Exact([Int8, Float64, UInt8]), Exact([Int8, Float64, UInt16]), Exact([Int8, Float64, UInt32]), Exact([Int8, Float64, UInt64]), Exact([Int16, Float64]), Exact([Int16, Float64, Int8]), Exact([Int16, Float64, Int16]), Exact([Int16, Float64, Int32]), Exact([Int16, Float64, Int64]), Exact([Int16, Float64, UInt8]), Exact([Int16, Float64, UInt16]), Exact([Int16, Float64, UInt32]), Exact([Int16, Float64, UInt64]), Exact([Int32, Float64]), Exact([Int32, Float64, Int8]), Exact([Int32, Float64, Int16]), Exact([Int32, Float64, Int32]), Exact([Int32, Float64, Int64]), Exact([Int32, Float64, UInt8]), Exact([Int32, Float64, UInt16]), Exact([Int32, Float64, UInt32]), Exact([Int32, Float64, UInt64]), Exact([Int64, Float64]), Exact([Int64, Float64, Int8]), Exact([Int64, Float64, Int16]), Exact([Int64, Float64, Int32]), Exact([Int64, Float64, Int64]), Exact([Int64, Float64, UInt8]), Exact([Int64, Float64, UInt16]), Exact([Int64, Float64, UInt32]), Exact([Int64, Float64, UInt64]), Exact([UInt8, Float64]), Exact([UInt8, Float64, Int8]), Exact([UInt8, Float64, Int16]), Exact([UInt8, Float64, Int32]), Exact([UInt8, Float64, Int64]), Exact([UInt8, Float64, UInt8]), Exact([UInt8, Float64, UInt16]), Exact([UInt8, Float64, UInt32]), Exact([UInt8, Float64, UInt64]), Exact([UInt16, Float64]), Exact([UInt16, Float64, Int8]), Exact([UInt16, Float64, Int16]), Exact([UInt16, Float64, Int32]), Exact([UInt16, Float64, Int64]), Exact([UInt16, Float64, UInt8]), Exact([UInt16, Float64, UInt16]), Exact([UInt16, Float64, UInt32]), Exact([UInt16, Float64, UInt64]), Exact([UInt32, Float64]), Exact([UInt32, Float64, Int8]), Exact([UInt32, Float64, Int16]), Exact([UInt32, Float64, Int32]), Exact([UInt32, Float64, Int64]), Exact([UInt32, Float64, UInt8]), Exact([UInt32, Float64, UInt16]), Exact([UInt32, Float64, UInt32]), Exact([UInt32, Float64, UInt64]), Exact([UInt64, Float64]), Exact([UInt64, Float64, Int8]), Exact([UInt64, Float64, Int16]), Exact([UInt64, Float64, Int32]), Exact([UInt64, Float64, Int64]), Exact([UInt64, Float64, UInt8]), Exact([UInt64, Float64, UInt16]), Exact([UInt64, Float64, UInt32]), Exact([UInt64, Float64, UInt64]), Exact([Float32, Float64]), Exact([Float32, Float64, Int8]), Exact([Float32, Float64, Int16]), Exact([Float32, Float64, Int32]), Exact([Float32, Float64, Int64]), Exact([Float32, Float64, UInt8]), Exact([Float32, Float64, UInt16]), Exact([Float32, Float64, UInt32]), Exact([Float32, Float64, UInt64]), Exact([Float64, Float64]), Exact([Float64, Float64, Int8]), Exact([Float64, Float64, Int16]), Exact([Float64, Float64, Int32]), Exact([Float64, Float64, Int64]), Exact([Float64, Float64, UInt8]), Exact([Float64, Float64, UInt16]), Exact([Float64, Float64, UInt32]), Exact([Float64, Float64, UInt64])]) failed No function matches the given name and argument types 'approx_percentile_cont(Interval(DayTime), List(Field { name: \"item\", data_type: Decimal128(1, 1), nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), Int32)'. You might need to add explicit type casts.\n\tCandidate functions:\n\tapprox_percentile_cont(Int8, Float64)\n\tapprox_percentile_cont(Int8, Float64, Int8)\n\tapprox_percentile_cont(Int8, Float64, Int16)\n\tapprox_percentile_cont(Int8, Float64, Int32)\n\tapprox_percentile_cont(Int8, Float64, Int64)\n\tapprox_percentile_cont(Int8, Float64, UInt8)\n\tapprox_percentile_cont(Int8, Float64, UInt16)\n\tapprox_percentile_cont(Int8, Float64, UInt32)\n\tapprox_percentile_cont(Int8, Float64, UInt64)\n\tapprox_percentile_cont(Int16, Float64)\n\tapprox_percentile_cont(Int16, Float64, Int8)\n\tapprox_percentile_cont(Int16, Float64, Int16)\n\tapprox_percentile_cont(Int16, Float64, Int32)\n\tapprox_percentile_cont(Int16, Float64, Int64)\n\tapprox_percentile_cont(Int16, Float64, UInt8)\n\tapprox_percentile_cont(Int16, Float64, UInt16)\n\tapprox_percentile_cont(Int16, Float64, UInt32)\n\tapprox_percentile_cont(Int16, Float64, UInt64)\n\tapprox_percentile_cont(Int32, Float64)\n\tapprox_percentile_cont(Int32, Float64, Int8)\n\tapprox_percentile_cont(Int32, Float64, Int16)\n\tapprox_percentile_cont(Int32, Float64, Int32)\n\tapprox_percentile_cont(Int32, Float64, Int64)\n\tapprox_percentile_cont(Int32, Float64, UInt8)\n\tapprox_percentile_cont(Int32, Float64, UInt16)\n\tapprox_percentile_cont(Int32, Float64, UInt32)\n\tapprox_percentile_cont(Int32, Float64, UInt64)\n\tapprox_percentile_cont(Int64, Float64)\n\tapprox_percentile_cont(Int64, Float64, Int8)\n\tapprox_percentile_cont(Int64, Float64, Int16)\n\tapprox_percentile_cont(Int64, Float64, Int32)\n\tapprox_percentile_cont(Int64, Float64, Int64)\n\tapprox_percentile_cont(Int64, Float64, UInt8)\n\tapprox_percentile_cont(Int64, Float64, UInt16)\n\tapprox_percentile_cont(Int64, Float64, UInt32)\n\tapprox_percentile_cont(Int64, Float64, UInt64)\n\tapprox_percentile_cont(UInt8, Float64)\n\tapprox_percentile_cont(UInt8, Float64, Int8)\n\tapprox_percentile_cont(UInt8, Float64, Int16)\n\tapprox_percentile_cont(UInt8, Float64, Int32)\n\tapprox_percentile_cont(UInt8, Float64, Int64)\n\tapprox_percentile_cont(UInt8, Float64, UInt8)\n\tapprox_percentile_cont(UInt8, Float64, UInt16)\n\tapprox_percentile_cont(UInt8, Float64, UInt32)\n\tapprox_percentile_cont(UInt8, Float64, UInt64)\n\tapprox_percentile_cont(UInt16, Float64)\n\tapprox_percentile_cont(UInt16, Float64, Int8)\n\tapprox_percentile_cont(UInt16, Float64, Int16)\n\tapprox_percentile_cont(UInt16, Float64, Int32)\n\tapprox_percentile_cont(UInt16, Float64, Int64)\n\tapprox_percentile_cont(UInt16, Float64, UInt8)\n\tapprox_percentile_cont(UInt16, Float64, UInt16)\n\tapprox_percentile_cont(UInt16, Float64, UInt32)\n\tapprox_percentile_cont(UInt16, Float64, UInt64)\n\tapprox_percentile_cont(UInt32, Float64)\n\tapprox_percentile_cont(UInt32, Float64, Int8)\n\tapprox_percentile_cont(UInt32, Float64, Int16)\n\tapprox_percentile_cont(UInt32, Float64, Int32)\n\tapprox_percentile_cont(UInt32, Float64, Int64)\n\tapprox_percentile_cont(UInt32, Float64, UInt8)\n\tapprox_percentile_cont(UInt32, Float64, UInt16)\n\tapprox_percentile_cont(UInt32, Float64, UInt32)\n\tapprox_percentile_cont(UInt32, Float64, UInt64)\n\tapprox_percentile_cont(UInt64, Float64)\n\tapprox_percentile_cont(UInt64, Float64, Int8)\n\tapprox_percentile_cont(UInt64, Float64, Int16)\n\tapprox_percentile_cont(UInt64, Float64, Int32)\n\tapprox_percentile_cont(UInt64, Float64, Int64)\n\tapprox_percentile_cont(UInt64, Float64, UInt8)\n\tapprox_percentile_cont(UInt64, Float64, UInt16)\n\tapprox_percentile_cont(UInt64, Float64, UInt32)\n\tapprox_percentile_cont(UInt64, Float64, UInt64)\n\tapprox_percentile_cont(Float32, Float64)\n\tapprox_percentile_cont(Float32, Float64, Int8)\n\tapprox_percentile_cont(Float32, Float64, Int16)\n\tapprox_percentile_cont(Float32, Float64, Int32)\n\tapprox_percentile_cont(Float32, Float64, Int64)\n\tapprox_percentile_cont(Float32, Float64, UInt8)\n\tapprox_percentile_cont(Float32, Float64, UInt16)\n\tapprox_percentile_cont(Float32, Float64, UInt32)\n\tapprox_percentile_cont(Float32, Float64, UInt64)\n\tapprox_percentile_cont(Float64, Float64)\n\tapprox_percentile_cont(Float64, Float64, Int8)\n\tapprox_percentile_cont(Float64, Float64, Int16)\n\tapprox_percentile_cont(Float64, Float64, Int32)\n\tapprox_percentile_cont(Float64, Float64, Int64)\n\tapprox_percentile_cont(Float64, Float64, UInt8)\n\tapprox_percentile_cont(Float64, Float64, UInt16)\n\tapprox_percentile_cont(Float64, Float64, UInt32)\n\tapprox_percentile_cont(Float64, Float64, UInt64)"
       }
     },
     {
@@ -2819,7 +2819,7 @@
         }
       },
       "output": {
-        "failure": "error in DataFusion: Error during planning: Execution error: User-defined coercion failed with Execution(\"Sum not supported for Null\") No function matches the given name and argument types 'sum(Null)'. You might need to add explicit type casts.\n\tCandidate functions:\n\tsum(UserDefined)"
+        "failure": "error in DataFusion: Error during planning: Execution error: Function 'sum' user-defined coercion failed with Execution(\"Sum not supported for Null\") No function matches the given name and argument types 'sum(Null)'. You might need to add explicit type casts.\n\tCandidate functions:\n\tsum(UserDefined)"
       }
     },
     {
diff --git a/crates/sail-spark-connect/tests/gold_data/function/map.json b/crates/sail-spark-connect/tests/gold_data/function/map.json
index 3f5cfcb1..0c3c0b49 100644
--- a/crates/sail-spark-connect/tests/gold_data/function/map.json
+++ b/crates/sail-spark-connect/tests/gold_data/function/map.json
@@ -19,7 +19,7 @@
         }
       },
       "output": {
-        "failure": "error in DataFusion: Error during planning: Execution error: User-defined coercion failed with Internal(\"Expected a Map type, got List(Field { name: \\\"item\\\", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} })\") No function matches the given name and argument types 'map_extract(List(Field { name: \"item\", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), Int32)'. You might need to add explicit type casts.\n\tCandidate functions:\n\tmap_extract(UserDefined)"
+        "failure": "error in DataFusion: Error during planning: Execution error: Function 'map_extract' user-defined coercion failed with Internal(\"Expected a Map type, got List(Field { name: \\\"item\\\", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} })\") No function matches the given name and argument types 'map_extract(List(Field { name: \"item\", data_type: Int32, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), Int32)'. You might need to add explicit type casts.\n\tCandidate functions:\n\tmap_extract(UserDefined)"
       }
     },
     {
diff --git a/crates/sail-spark-connect/tests/gold_data/function/math.json b/crates/sail-spark-connect/tests/gold_data/function/math.json
index 42ab8d9e..f6463588 100644
--- a/crates/sail-spark-connect/tests/gold_data/function/math.json
+++ b/crates/sail-spark-connect/tests/gold_data/function/math.json
@@ -239,7 +239,7 @@
         }
       },
       "output": {
-        "failure": "error in DataFusion: This feature is not implemented: Unsupported data type Interval(YearMonth) for function abs"
+        "failure": "error in DataFusion: Error during planning: Function 'abs' expects NativeType::Numeric but received NativeType::Interval(YearMonth) No function matches the given name and argument types 'abs(Interval(YearMonth))'. You might need to add explicit type casts.\n\tCandidate functions:\n\tabs(Numeric(1))"
       }
     },
     {
@@ -1867,7 +1867,7 @@
         }
       },
       "output": {
-        "failure": "error in DataFusion: Error during planning: Error during planning: Failed to coerce arguments to satisfy a call to signum function: coercion from [Interval(YearMonth)] to the signature Uniform(1, [Float64, Float32]) failed. No function matches the given name and argument types 'signum(Interval(YearMonth))'. You might need to add explicit type casts.\n\tCandidate functions:\n\tsignum(Float64/Float32)"
+        "failure": "error in DataFusion: Error during planning: Failed to coerce arguments to satisfy a call to 'signum' function: coercion from [Interval(YearMonth)] to the signature Uniform(1, [Float64, Float32]) failed No function matches the given name and argument types 'signum(Interval(YearMonth))'. You might need to add explicit type casts.\n\tCandidate functions:\n\tsignum(Float64/Float32)"
       }
     },
     {
@@ -1911,7 +1911,7 @@
         }
       },
       "output": {
-        "failure": "error in DataFusion: Error during planning: Error during planning: Failed to coerce arguments to satisfy a call to signum function: coercion from [Interval(YearMonth)] to the signature Uniform(1, [Float64, Float32]) failed. No function matches the given name and argument types 'signum(Interval(YearMonth))'. You might need to add explicit type casts.\n\tCandidate functions:\n\tsignum(Float64/Float32)"
+        "failure": "error in DataFusion: Error during planning: Failed to coerce arguments to satisfy a call to 'signum' function: coercion from [Interval(YearMonth)] to the signature Uniform(1, [Float64, Float32]) failed No function matches the given name and argument types 'signum(Interval(YearMonth))'. You might need to add explicit type casts.\n\tCandidate functions:\n\tsignum(Float64/Float32)"
       }
     },
     {
diff --git a/crates/sail-spark-connect/tests/gold_data/function/window.json b/crates/sail-spark-connect/tests/gold_data/function/window.json
index 1c6d2912..fa61c886 100644
--- a/crates/sail-spark-connect/tests/gold_data/function/window.json
+++ b/crates/sail-spark-connect/tests/gold_data/function/window.json
@@ -71,7 +71,7 @@
         }
       },
       "output": {
-        "failure": "error in DataFusion: Error during planning: Error during planning: The function expected zero argument but received 1 No function matches the given name and argument types 'dense_rank(Int32)'. You might need to add explicit type casts.\n\tCandidate functions:\n\tdense_rank(NullAry())"
+        "failure": "error in DataFusion: Error during planning: The function 'dense_rank' expected zero argument but received 1 No function matches the given name and argument types 'dense_rank(Int32)'. You might need to add explicit type casts.\n\tCandidate functions:\n\tdense_rank(NullAry())"
       }
     },
     {
@@ -256,7 +256,7 @@
         }
       },
       "output": {
-        "failure": "error in DataFusion: Error during planning: Error during planning: The function expected zero argument but received 1 No function matches the given name and argument types 'percent_rank(Int32)'. You might need to add explicit type casts.\n\tCandidate functions:\n\tpercent_rank(NullAry())"
+        "failure": "error in DataFusion: Error during planning: The function 'percent_rank' expected zero argument but received 1 No function matches the given name and argument types 'percent_rank(Int32)'. You might need to add explicit type casts.\n\tCandidate functions:\n\tpercent_rank(NullAry())"
       }
     },
     {
@@ -293,7 +293,7 @@
         }
       },
       "output": {
-        "failure": "error in DataFusion: Error during planning: Error during planning: The function expected zero argument but received 1 No function matches the given name and argument types 'rank(Int32)'. You might need to add explicit type casts.\n\tCandidate functions:\n\trank(NullAry())"
+        "failure": "error in DataFusion: Error during planning: The function 'rank' expected zero argument but received 1 No function matches the given name and argument types 'rank(Int32)'. You might need to add explicit type casts.\n\tCandidate functions:\n\trank(NullAry())"
       }
     },
     {