6dfaa0783f
### 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> |
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catalyst | ||
core | ||
hive | ||
hive-thriftserver | ||
create-docs.sh | ||
gen-sql-markdown.py | ||
mkdocs.yml | ||
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
.