From 79bca2c44836b69924be1975f8edbb196d73acb7 Mon Sep 17 00:00:00 2001 From: Ti Chi Robot Date: Tue, 14 Jun 2022 16:00:34 +0800 Subject: [PATCH] tispark: remove description of not supporting Spark 3.x (#8946) (#8950) --- explore-htap.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/explore-htap.md b/explore-htap.md index ee1dde12dfebd..34426d4bdb985 100644 --- a/explore-htap.md +++ b/explore-htap.md @@ -33,11 +33,11 @@ For more information about use cases of TiDB HTAP, see [blogs about HTAP on the ## Architecture -In TiDB, a row-based storage engine [TiKV](/tikv-overview.md) for Online Transactional Processing (OLTP) and a columnar storage engine [TiFlash](/tiflash/tiflash-overview.md) for Online Analytical Processing (OLAP) co-exist, replicate data automatically, and keep strong consistency. +In TiDB, a row-based storage engine [TiKV](/tikv-overview.md) for Online Transactional Processing (OLTP) and a columnar storage engine [TiFlash](/tiflash/tiflash-overview.md) for Online Analytical Processing (OLAP) co-exist, replicate data automatically, and keep strong consistency. For more information about the architecture, see [architecture of TiDB HTAP](/tiflash/tiflash-overview.md#architecture). -## Environment preparation +## Environment preparation Before exploring the features of TiDB HTAP, you need to deploy TiDB and the corresponding storage engines according to the data volume. If the data volume is large (for example, 100 T), it is recommended to use TiFlash Massively Parallel Processing (MPP) as the primary solution and TiSpark as the supplementary solution. @@ -53,7 +53,7 @@ Before exploring the features of TiDB HTAP, you need to deploy TiDB and the corr - TiSpark - - If your data needs to be analyzed with Spark, deploy TiSpark (Spark 3.x is not currently supported). For specific process, see [TiSpark User Guide](/tispark-overview.md). + - If your data needs to be analyzed with Spark, deploy TiSpark. For specific process, see [TiSpark User Guide](/tispark-overview.md).