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Takeshi Yamamuro ff5fa5873e [SPARK-21870][SQL][FOLLOW-UP] Clean up string template formats for generated code in HashAggregateExec 
### What changes were proposed in this pull request?

This pr cleans up string template formats for generated code in HashAggregateExec. This changes comes from rednaxelafx comment: https://github.com/apache/spark/pull/20965#discussion_r316418729

### Why are the changes needed?

To improve code-readability.

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

No

### How was this patch tested?

N/A

Closes #25714 from maropu/SPARK-21870-FOLLOWUP.

Authored-by: Takeshi Yamamuro <yamamuro@apache.org>
Signed-off-by: Takeshi Yamamuro <yamamuro@apache.org>
2019-09-07 07:16:36 +09:00
..
catalyst [SPARK-29002][SQL] Avoid changing SMJ to BHJ if the build side has a high ratio of empty partitions 2019-09-06 12:46:54 -07:00
core [SPARK-21870][SQL][FOLLOW-UP] Clean up string template formats for generated code in HashAggregateExec 2019-09-07 07:16:36 +09:00
hive [SPARK-28910][SQL] Prevent schema verification when connecting to in memory derby 2019-09-05 07:06:19 -07:00
hive-thriftserver [SPARK-28901][SQL] SparkThriftServer's Cancel SQL Operation show it in JDBC Tab UI 2019-09-04 09:20:51 -07:00
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-28473][DOC] Stylistic consistency of build command in README 2019-07-23 16:29:46 -07:00

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 an extension of SQLContext called HiveContext that allows 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.