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cxzl25 6450c5948a [SPARK-26992][STS] Fix STS scheduler pool correct delivery 
## What changes were proposed in this pull request?

The user sets the value of spark.sql.thriftserver.scheduler.pool.
Spark thrift server saves this value in the LocalProperty of threadlocal type, but does not clean up after running, causing other sessions to run in the previously set pool name.

## How was this patch tested?

manual tests

Closes #23895 from cxzl25/thrift_server_scheduler_pool_pollute.

Lead-authored-by: cxzl25 <cxzl25@users.noreply.github.com>
Co-authored-by: sychen <sychen@ctrip.com>
Signed-off-by: Sean Owen <sean.owen@databricks.com>
2019-04-06 17:14:29 -05:00
..
catalyst [SPARK-27390][CORE][SQL][TEST] Fix package name mismatch 2019-04-05 11:50:37 -07:00
core [SPARK-27391][SS] Don't initialize a lazy val in ContinuousExecution job. 2019-04-05 12:56:36 -07:00
hive [SPARK-26936][SQL] Fix bug of insert overwrite local dir can not create temporary path in local staging directory 2019-04-05 14:02:46 -05:00
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-21485][FOLLOWUP][SQL][DOCS] Describes examples and arguments separately, and note/since in SQL built-in function documentation 2017-08-05 10:10:56 -07:00
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.