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chakravarthiT 074533334d [SPARK-27088][SQL] Add a configuration to set log level for each batch at RuleExecutor 
## What changes were proposed in this pull request?

Similar to #22406 , which has made log level for plan changes by each rule configurable ,this PR is to make log level for plan changes by each batch configurable,and I have reused the same configuration: "spark.sql.optimizer.planChangeLog.level".

Config proposed in this PR ,
spark.sql.optimizer.planChangeLog.batches - enable plan change logging only for a set of specified batches, separated by commas.

## How was this patch tested?

Added UT , also tested manually and attached screenshots below.

1)Setting spark.sql.optimizer.planChangeLog.leve to warn.

![settingLogLevelToWarn](https://user-images.githubusercontent.com/45845595/54556730-8803dd00-49df-11e9-95ab-ebb0c8d735ef.png)

2)setting spark.sql.optimizer.planChangeLog.batches to Resolution and Subquery.
![settingBatchestoLog](https://user-images.githubusercontent.com/45845595/54556740-8cc89100-49df-11e9-80ab-fbbbe1ff2cdf.png)

3)  plan change logging enabled only for a set of specified batches(Resolution and Subquery)
![batchloggingOp](https://user-images.githubusercontent.com/45845595/54556788-ab2e8c80-49df-11e9-9ae0-57815f552896.png)

Closes #24136 from chakravarthiT/logBatches.

Lead-authored-by: chakravarthiT <45845595+chakravarthiT@users.noreply.github.com>
Co-authored-by: chakravarthiT <tcchakra@gmail.com>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
2019-04-11 10:02:27 +09:00
..
catalyst [SPARK-27088][SQL] Add a configuration to set log level for each batch at RuleExecutor 2019-04-11 10:02:27 +09:00
core [SPARK-27422][SQL] current_date() should return current date in the session time zone 2019-04-10 21:54:50 +08:00
hive [SPARK-27271][SQL] Migrate Text to File Data Source V2 2019-04-08 10:15:22 -07:00
hive-thriftserver [SPARK-26992][STS] Fix STS scheduler pool correct delivery 2019-04-06 17:14:29 -05:00
create-docs.sh [MINOR][DOCS] Minor doc fixes related with doc build and uses script dir in SQL doc gen script 2017-08-26 13:56:24 +09:00
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 [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -07:00
README.md [MINOR][DOC] Fix some typos and grammar issues 2018-04-06 13:37:08 +08:00

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.