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Burak Yavuz cbe6eadc0c [SPARK-29352][SQL][SS] Track active streaming queries in the SparkSession.sharedState 
### What changes were proposed in this pull request?

This moves the tracking of active queries from a per SparkSession state, to the shared SparkSession for better safety in isolated Spark Session environments.

### Why are the changes needed?

We have checks to prevent the restarting of the same stream on the same spark session, but we can actually make that better in multi-tenant environments by actually putting that state in the SharedState instead of SessionState. This would allow a more comprehensive check for multi-tenant clusters.

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

No

### How was this patch tested?

Added tests to StreamingQueryManagerSuite

Closes #26018 from brkyvz/sharedStreamingQueryManager.

Lead-authored-by: Burak Yavuz <burak@databricks.com>
Co-authored-by: Burak Yavuz <brkyvz@gmail.com>
Signed-off-by: Burak Yavuz <brkyvz@gmail.com>
2019-10-23 10:56:19 +02:00
..
catalyst [SPARK-29511][SQL] DataSourceV2: Support CREATE NAMESPACE 2019-10-23 12:17:20 +08:00
core [SPARK-29352][SQL][SS] Track active streaming queries in the SparkSession.sharedState 2019-10-23 10:56:19 +02:00
hive [SPARK-29498][SQL] CatalogTable to HiveTable should not change the table's ownership 2019-10-21 15:53:36 +08:00
hive-thriftserver [SPARK-29516][SQL][TEST] Test ThriftServerQueryTestSuite asynchronously 2019-10-22 03:20:49 -07:00
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 [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.