spark-instrumented-optimizer/sql
Mukul Murthy ae382c94dd
[SPARK-26586][SS] Fix race condition that causes streams to run with unexpected confs
## What changes were proposed in this pull request?

Fix race condition where streams can have unexpected conf values.

New streaming queries should run with isolated SparkSessions so that they aren't affected by conf updates after they are started. In StreamExecution, the parent SparkSession is cloned and used to run each batch, but this cloning happens in a separate thread and may happen after DataStreamWriter.start() returns. If a stream is started and a conf key is set immediately after, the stream is likely to have the new value.

## How was this patch tested?

New unit test that fails prior to the production change and passes with it.

Please review http://spark.apache.org/contributing.html before opening a pull request.

Closes #23513 from mukulmurthy/26586.

Authored-by: Mukul Murthy <mukul.murthy@gmail.com>
Signed-off-by: Shixiong Zhu <zsxwing@gmail.com>
2019-01-11 11:46:14 -08:00
..
catalyst [SPARK-26503][CORE] Get rid of spark.sql.legacy.timeParser.enabled 2019-01-11 08:53:12 -06:00
core [SPARK-26586][SS] Fix race condition that causes streams to run with unexpected confs 2019-01-11 11:46:14 -08:00
hive [SPARK-26482][CORE] Use ConfigEntry for hardcoded configs for ui categories 2019-01-11 10:18:07 -08:00
hive-thriftserver [SPARK-26482][CORE] Use ConfigEntry for hardcoded configs for ui categories 2019-01-11 10:18:07 -08:00
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

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.