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Takeshi Yamamuro b942832bd3 [SPARK-30343][SQL] Skip unnecessary checks in RewriteDistinctAggregates 
### What changes were proposed in this pull request?

This pr intends to skip the unnecessary checks that most aggregate quries don't need in RewriteDistinctAggregates.

### Why are the changes needed?

For minor optimization.

### Does this PR introduce any user-facing change?

No.

### How was this patch tested?

Existing tests.

Closes #26997 from maropu/OptDistinctAggRewrite.

Authored-by: Takeshi Yamamuro <yamamuro@apache.org>
Signed-off-by: Takeshi Yamamuro <yamamuro@apache.org>
2020-01-10 23:33:08 +09:00
..
catalyst [SPARK-30343][SQL] Skip unnecessary checks in RewriteDistinctAggregates 2020-01-10 23:33:08 +09:00
core [SPARK-30234][SQL] ADD FILE cannot add directories from sql CLI 2020-01-10 22:36:45 +09:00
hive [SPARK-30018][SQL] Support ALTER DATABASE SET OWNER syntax 2020-01-10 16:47:08 +08:00
hive-thriftserver [SPARK-30382][SQL] Remove Hive LogUtils usage to prevent ClassNotFoundException 2020-01-07 14:26:04 -08:00
create-docs.sh
gen-sql-markdown.py [SPARK-27328][SQL] Add 'deprecated' in ExpressionDescription for extended usage and SQL doc 2019-04-09 13:49:42 +08:00
mkdocs.yml
README.md [SPARK-28980][CORE][SQL][STREAMING][MLLIB] Remove most items deprecated in Spark 2.2.0 or earlier, for Spark 3 2019-09-09 10:19:40 -05:00

README.md

Spark SQL

This module provides support for executing relational queries expressed in either SQL or the DataFrame/Dataset API.

Spark SQL is broken up into four subprojects:

  • Catalyst (sql/catalyst) - An implementation-agnostic framework for manipulating trees of relational operators and expressions.
  • Execution (sql/core) - A query planner / execution engine for translating Catalyst's logical query plans into Spark RDDs. This component also includes a new public interface, SQLContext, that allows users to execute SQL or LINQ statements against existing RDDs and Parquet files.
  • Hive Support (sql/hive) - Includes extensions that allow users to write queries using a subset of HiveQL and access data from a Hive Metastore using Hive SerDes. There are also wrappers that allow users to run queries that include Hive UDFs, UDAFs, and UDTFs.
  • HiveServer and CLI support (sql/hive-thriftserver) - Includes support for the SQL CLI (bin/spark-sql) and a HiveServer2 (for JDBC/ODBC) compatible server.

Running ./sql/create-docs.sh generates SQL documentation for built-in functions under sql/site.