🎉 Source S3: support of Parquet format

.github/workflows/publish-command.yml

@@ -143,6 +143,7 @@ jobs:
           SOURCE_MARKETO_SINGER_INTEGRATION_TEST_CONFIG: ${{ secrets.SOURCE_MARKETO_SINGER_INTEGRATION_TEST_CONFIG }}
           SOURCE_RECURLY_INTEGRATION_TEST_CREDS: ${{ secrets.SOURCE_RECURLY_INTEGRATION_TEST_CREDS }}
           SOURCE_S3_TEST_CREDS: ${{ secrets.SOURCE_S3_TEST_CREDS }}
+          SOURCE_S3_PARQUET_CREDS: ${{ secrets.SOURCE_S3_PARQUET_CREDS }}
           SOURCE_SHORTIO_TEST_CREDS: ${{ secrets.SOURCE_SHORTIO_TEST_CREDS }}
           SOURCE_STRIPE_CREDS: ${{ secrets.SOURCE_STRIPE_CREDS }}
           STRIPE_INTEGRATION_CONNECTED_ACCOUNT_TEST_CREDS: ${{ secrets.STRIPE_INTEGRATION_CONNECTED_ACCOUNT_TEST_CREDS }}

.github/workflows/test-command.yml

@@ -143,6 +143,7 @@ jobs:
           SOURCE_MARKETO_SINGER_INTEGRATION_TEST_CONFIG: ${{ secrets.SOURCE_MARKETO_SINGER_INTEGRATION_TEST_CONFIG }}
           SOURCE_RECURLY_INTEGRATION_TEST_CREDS: ${{ secrets.SOURCE_RECURLY_INTEGRATION_TEST_CREDS }}
           SOURCE_S3_TEST_CREDS: ${{ secrets.SOURCE_S3_TEST_CREDS }}
+          SOURCE_S3_PARQUET_CREDS: ${{ secrets.SOURCE_S3_PARQUET_CREDS }}
           SOURCE_SHORTIO_TEST_CREDS: ${{ secrets.SOURCE_SHORTIO_TEST_CREDS }}
           SOURCE_STRIPE_CREDS: ${{ secrets.SOURCE_STRIPE_CREDS }}
           STRIPE_INTEGRATION_CONNECTED_ACCOUNT_TEST_CREDS: ${{ secrets.STRIPE_INTEGRATION_CONNECTED_ACCOUNT_TEST_CREDS }}

airbyte-config/init/src/main/resources/config/STANDARD_SOURCE_DEFINITION/69589781-7828-43c5-9f63-8925b1c1ccc2.json

@@ -2,6 +2,6 @@
   "sourceDefinitionId": "69589781-7828-43c5-9f63-8925b1c1ccc2",
   "name": "S3",
   "dockerRepository": "airbyte/source-s3",
-  "dockerImageTag": "0.1.3",
+  "dockerImageTag": "0.1.4",
   "documentationUrl": "https://docs.airbyte.io/integrations/sources/s3"
 }

airbyte-config/init/src/main/resources/seed/source_definitions.yaml

@@ -78,7 +78,7 @@
 - sourceDefinitionId: 69589781-7828-43c5-9f63-8925b1c1ccc2
   name: S3
   dockerRepository: airbyte/source-s3
-  dockerImageTag: 0.1.3
+  dockerImageTag: 0.1.4
   documentationUrl: https://docs.airbyte.io/integrations/sources/s3
 - sourceDefinitionId: fbb5fbe2-16ad-4cf4-af7d-ff9d9c316c87
   name: Sendgrid

airbyte-integrations/connectors/source-s3/Dockerfile

@@ -1,16 +1,24 @@
-FROM python:3.7-slim
+FROM python:3.7-slim as base
+FROM base as builder
 
-# Bash is installed for more convenient debugging.
-RUN apt-get update && apt-get install -y bash && rm -rf /var/lib/apt/lists/*
+RUN apt-get update
+WORKDIR /airbyte/integration_code
+COPY setup.py ./
+RUN pip install --prefix=/install .
 
+FROM base
 WORKDIR /airbyte/integration_code
-COPY source_s3 ./source_s3
+COPY --from=builder /install /usr/local
+
 COPY main.py ./
-COPY setup.py ./
-RUN pip install .
+COPY source_s3 ./source_s3
+
 
 ENV AIRBYTE_ENTRYPOINT "python /airbyte/integration_code/main.py"
 ENTRYPOINT ["python", "/airbyte/integration_code/main.py"]
 
-LABEL io.airbyte.version=0.1.3
+LABEL io.airbyte.version=0.1.4
 LABEL io.airbyte.name=airbyte/source-s3
+
+
+

airbyte-integrations/connectors/source-s3/acceptance-test-config.yml

@@ -5,23 +5,48 @@ tests:
   spec:
     - spec_path: "integration_tests/spec.json"
   connection:
+    # for CSV format
     - config_path: "secrets/config.json"
       status: "succeed"
+    # for Parquet format
+    - config_path: "secrets/parquet_config.json"
+      status: "succeed"
     - config_path: "integration_tests/invalid_config.json"
       status: "failed"
   discovery:
+   # for CSV format
     - config_path: "secrets/config.json"
+    # for Parquet format
+    - config_path: "secrets/parquet_config.json"
   basic_read:
+    # for CSV format
     - config_path: "secrets/config.json"
       configured_catalog_path: "integration_tests/configured_catalog.json"
-    - expect_records:
-       path: "integration_tests/expected_records.txt"
+      expect_records:
+        path: "integration_tests/expected_records.txt"
+    # for Parquet format
+    - config_path: "secrets/parquet_config.json"
+      configured_catalog_path: "integration_tests/parquet_configured_catalog.json"
+      expect_records:
+        path: "integration_tests/parquet_expected_records.txt"
   incremental: 
+    # for CSV format
     - config_path: "secrets/config.json"
       configured_catalog_path: "integration_tests/configured_catalog.json"
       cursor_paths: 
         test: ["_ab_source_file_last_modified"]
       future_state_path: "integration_tests/abnormal_state.json"
+    # for Parquet format
+    - config_path: "secrets/parquet_config.json"
+      configured_catalog_path: "integration_tests/parquet_configured_catalog.json"
+      cursor_paths: 
+        test: ["_ab_source_file_last_modified"]
+      future_state_path: "integration_tests/abnormal_state.json"
+
   full_refresh:
+    # for CSV format
     - config_path: "secrets/config.json"
       configured_catalog_path: "integration_tests/configured_catalog.json"
+    # for Parquet format
+    - config_path: "secrets/parquet_config.json"
+      configured_catalog_path: "integration_tests/parquet_configured_catalog.json"

airbyte-integrations/connectors/source-s3/acceptance-test-docker.sh

@@ -1,4 +1,13 @@
 #!/usr/bin/env sh
+
+# Build latest connector image
+source_image=$(cat acceptance-test-config.yml | grep "connector_image" | head -n 1 | cut -d: -f2-)
+echo "try to build the source image: ${source_image}"
+docker build . -t ${source_image}
+
+# Pull latest acctest image
+docker pull airbyte/source-acceptance-test:latest
+
 docker run --rm -it \
     -v /var/run/docker.sock:/var/run/docker.sock \
     -v /tmp:/tmp \

airbyte-integrations/connectors/source-s3/integration_tests/configured_catalog.json

@@ -4,7 +4,7 @@
       "stream": {
         "name": "test",
         "json_schema": {},
-        "supported_sync_modes": ["incremental", "full_refresh"],
+        "supported_sync_modes": ["full_refresh", "incremental"],
         "source_defined_cursor": true,
         "default_cursor_field": ["_ab_source_file_last_modified"]
       },

airbyte-integrations/connectors/source-s3/integration_tests/expected_records.txt

@@ -5,4 +5,4 @@
 {"stream": "test", "data": {"id": 5, "name": "77h4aiMP", "valid": true, "_ab_additional_properties": {}, "_ab_source_file_last_modified": "2021-07-25T15:33:04+0000", "_ab_source_file_url": "simple_test.csv"}, "emitted_at": 1627227468000}
 {"stream": "test", "data": {"id": 6, "name": "Le35Wyic", "valid": true, "_ab_additional_properties": {}, "_ab_source_file_last_modified": "2021-07-25T15:33:04+0000", "_ab_source_file_url": "simple_test.csv"}, "emitted_at": 1627227468000}
 {"stream": "test", "data": {"id": 7, "name": "xZhh1Kyl", "valid": false, "_ab_additional_properties": {}, "_ab_source_file_last_modified": "2021-07-25T15:33:04+0000", "_ab_source_file_url": "simple_test.csv"}, "emitted_at": 1627227468000}
-{"stream": "test", "data": {"id": 8, "name": "M2t286iJ", "valid": false, "_ab_additional_properties": {}, "_ab_source_file_last_modified": "2021-07-25T15:33:04+0000", "_ab_source_file_url": "simple_test.csv"}, "emitted_at": 1627227468000}
+{"stream": "test", "data": {"id": 8, "name": "M2t286iJ", "valid": false, "_ab_additional_properties": {}, "_ab_source_file_last_modified": "2021-07-25T15:33:04+0000", "_ab_source_file_url": "simple_test.csv"}, "emitted_at": 1627227468000}

airbyte-integrations/connectors/source-s3/integration_tests/integration_test_abstract.py

@@ -32,7 +32,7 @@
 import pytest
 from airbyte_cdk.logger import AirbyteLogger
 from airbyte_cdk.models import SyncMode
-from source_s3.source_files_abstract.fileformatparser import CsvParser
+from source_s3.source_files_abstract.formats.csv_parser import CsvParser
 from source_s3.source_files_abstract.stream import FileStream
 
 HERE = Path(__file__).resolve().parent
@@ -136,15 +136,17 @@ def _stream_records_test_logic(
             fs = self.stream_class("dataset", provider, format, path_pattern, str_user_schema)
             LOGGER.info(f"Testing stream_records() in SyncMode:{sync_mode.value}")
 
-            assert fs._get_schema_map() == full_expected_schema  # check we return correct schema from get_json_schema()
+            # check we return correct schema from get_json_schema()
+            assert fs._get_schema_map() == full_expected_schema
 
             records = []
             for stream_slice in fs.stream_slices(sync_mode=sync_mode, stream_state=current_state):
                 if stream_slice is not None:
                     # we need to do this in order to work out which extra columns (if any) we expect in this stream_slice
                     expected_columns = []
                     for file_dict in stream_slice:
-                        file_reader = CsvParser(format)  # TODO: if we ever test other filetypes in these tests this will need fixing
+                        # TODO: if we ever test other filetypes in these tests this will need fixing
+                        file_reader = CsvParser(format)
                         with file_dict["storagefile"].open(file_reader.is_binary) as f:
                             expected_columns.extend(list(file_reader.get_inferred_schema(f).keys()))
                     expected_columns = set(expected_columns)  # de-dupe
@@ -550,7 +552,8 @@ def test_stream_records(
                         state=latest_state,
                     )
                     LOGGER.info(f"incremental state: {latest_state}")
-                    time.sleep(1)  # small delay to ensure next file gets later last_modified timestamp
+                    # small delay to ensure next file gets later last_modified timestamp
+                    time.sleep(1)
                 self.teardown_infra(cloud_bucket_name, self.credentials)
 
         except Exception as e:

airbyte-integrations/connectors/source-s3/integration_tests/parquet_configured_catalog.json

@@ -0,0 +1,15 @@
+{
+  "streams": [
+    {
+      "stream": {
+        "name": "test",
+        "json_schema": {},
+        "supported_sync_modes": ["full_refresh", "incremental"],
+        "source_defined_cursor": true,
+        "default_cursor_field": ["_ab_source_file_last_modified"]
+      },
+      "sync_mode": "incremental",
+      "destination_sync_mode": "append"
+    }
+  ]
+}

airbyte-integrations/connectors/source-s3/integration_tests/parquet_expected_records.txt

@@ -0,0 +1,4 @@
+{"stream": "test", "data": {"number": 1.0, "name": "foo", "flag": true, "delta": -1.0, "_ab_additional_properties": {}, "_ab_source_file_last_modified": "2021-08-30T15:46:17+0000", "_ab_source_file_url": "simple_test.parquet"}, "emitted_at": 1630795278000}
+{"stream": "test", "data": {"number": 2.0, "name": null, "flag": false, "delta": 2.5, "_ab_additional_properties": {}, "_ab_source_file_last_modified": "2021-08-30T15:46:17+0000", "_ab_source_file_url": "simple_test.parquet"}, "emitted_at": 1630795278000}
+{"stream": "test", "data": {"number": 3.0, "name": "bar", "flag": null, "delta": 0.1, "_ab_additional_properties": {}, "_ab_source_file_last_modified": "2021-08-30T15:46:17+0000", "_ab_source_file_url": "simple_test.parquet"}, "emitted_at": 1630795278000}
+{"stream": "test", "data": {"number": null, "name": "baz", "flag": true, "delta": null, "_ab_additional_properties": {}, "_ab_source_file_last_modified": "2021-08-30T15:46:17+0000", "_ab_source_file_url": "simple_test.parquet"}, "emitted_at": 1630795278000}

airbyte-integrations/connectors/source-s3/integration_tests/spec.json

@@ -32,15 +32,16 @@
       "format": {
         "title": "Format",
         "default": "csv",
+        "type": "object",
         "oneOf": [
           {
             "title": "csv",
+            "description": "This connector utilises <a href=\"https: // arrow.apache.org/docs/python/generated/pyarrow.csv.open_csv.html\" target=\"_blank\">PyArrow (Apache Arrow)</a> for CSV parsing.",
             "type": "object",
             "properties": {
               "filetype": {
-                "title": "CsvFiletype",
-                "description": "This connector utilises <a href=\"https://arrow.apache.org/docs/python/generated/pyarrow.csv.open_csv.html\" target=\"_blank\">PyArrow (Apache Arrow)</a> for CSV parsing.",
-                "enum": ["csv"],
+                "title": "Filetype",
+                "const": "csv",
                 "type": "string"
               },
               "delimiter": {
@@ -93,24 +94,41 @@
                 ],
                 "type": "string"
               }
-            },
-            "required": ["filetype"]
+            }
           },
           {
-            "title": "Coming Soon...",
+            "title": "parquet",
+            "description": "This connector utilises <a href=\"https://arrow.apache.org/docs/python/generated/pyarrow.parquet.ParquetFile.html\" target=\"_blank\">PyArrow (Apache Arrow)</a> for Parquet parsing.",
             "type": "object",
             "properties": {
               "filetype": {
-                "title": "ParquetFiletype",
-                "description": "An enumeration.",
-                "enum": ["parquet"],
+                "title": "Filetype",
+                "const": "parquet",
                 "type": "string"
+              },
+              "buffer_size": {
+                "title": "Buffer Size",
+                "description": "Perform read buffering when deserializing individual column chunks. By default every group column will be loaded fully to memory. This option can help to optimize a work with memory if your data is particularly wide or failing during detection of OOM errors.",
+                "default": 0,
+                "type": "integer"
+              },
+              "columns": {
+                "title": "Columns",
+                "description": "If you only want to sync a subset of the columns from the file(s), add the columns you want here. Leave it empty to sync all columns.",
+                "type": "array",
+                "items": {
+                  "type": "string"
+                }
+              },
+              "batch_size": {
+                "title": "Batch Size",
+                "description": "Maximum number of records per batch. Batches may be smaller if there aren’t enough rows in the file. This option can help to optimize a work with memory if your data is particularly wide or failing during detection of OOM errors.",
+                "default": 65536,
+                "type": "integer"
               }
-            },
-            "required": ["filetype"]
+            }
           }
-        ],
-        "type": "object"
+        ]
       },
       "provider": {
         "title": "S3: Amazon Web Services",

airbyte-integrations/connectors/source-s3/setup.py

@@ -25,11 +25,18 @@
 
 from setuptools import find_packages, setup
 
-MAIN_REQUIREMENTS = ["airbyte-cdk", "pyarrow==4.0.1", "smart-open[s3]==5.1.0", "wcmatch==8.2", "dill==0.3.4"]
+MAIN_REQUIREMENTS = [
+    "airbyte-cdk~=0.1.7",
+    "pyarrow==4.0.1",
+    "smart-open[s3]==5.1.0",
+    "wcmatch==8.2",
+    "dill==0.3.4",
+]
 
 TEST_REQUIREMENTS = [
     "pytest~=6.1",
     "source-acceptance-test",
+    "pandas==1.3.1",
 ]
 
 setup(

airbyte-integrations/connectors/source-s3/source_s3/s3file.py

@@ -75,7 +75,8 @@ def last_modified(self) -> datetime:
             return obj.last_modified
         # For some reason, this standard method above doesn't work for public files with no credentials so fall back on below
         except NoCredentialsError as nce:
-            if self.use_aws_account(self._provider):  # we don't expect this error if using credentials so throw it
+            # we don't expect this error if using credentials so throw it
+            if self.use_aws_account(self._provider):
                 raise nce
             else:
                 return boto3.client("s3", config=ClientConfig(signature_version=UNSIGNED)).head_object(Bucket=bucket, Key=self.url)[