spark-instrumented-optimizer/sql
jiake 6dfaa0783f [SPARK-30549][SQL] Fix the subquery shown issue in UI When enable AQE
### What changes were proposed in this pull request?
After [PR#25316](https://github.com/apache/spark/pull/25316) fixed the dead lock issue in [PR#25308](https://github.com/apache/spark/pull/25308), the subquery metrics can not be shown in UI as following screenshot.
![image](https://user-images.githubusercontent.com/11972570/72891385-160ec980-3d4f-11ea-91fc-ccaad890f7dc.png)

 This PR fix the subquery UI shown issue by adding `SparkListenerSQLAdaptiveSQLMetricUpdates` event to update the suquery  sql metric. After with this PR, the suquery UI can show correctly as following screenshot:
![image](https://user-images.githubusercontent.com/11972570/72893610-66d4f100-3d54-11ea-93c9-f444b2f31952.png)

### Why are the changes needed?
Showing the subquery metric in UI when enable AQE

### Does this PR introduce any user-facing change?
No

### How was this patch tested?
Existing UT

Closes #27260 from JkSelf/fixSubqueryUI.

Authored-by: jiake <ke.a.jia@intel.com>
Signed-off-by: Xiao Li <gatorsmile@gmail.com>
2020-01-22 09:02:34 -08:00
..
catalyst [SPARK-30592][SQL] Interval support for csv and json funtions 2020-01-23 00:41:46 +08:00
core [SPARK-30549][SQL] Fix the subquery shown issue in UI When enable AQE 2020-01-22 09:02:34 -08:00
hive [SPARK-30591][SQL] Remove the nonstandard SET OWNER syntax for namespaces 2020-01-22 16:00:05 +08:00
hive-thriftserver [SPARK-30252][SQL] Disallow negative scale of Decimal 2020-01-21 21:09:48 +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-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

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.