spark-instrumented-optimizer/sql
zuotingbing bf20abb2dc [SPARK-22642][SQL] the createdTempDir will not be deleted if an exception occurs, should delete it with try-finally.
## What changes were proposed in this pull request?

We found staging directories will not be dropped sometimes in our production environment.
The createdTempDir will not be deleted if an exception occurs, we should delete createdTempDir with try-finally.

This PR is follow-up SPARK-18703.

## How was this patch tested?

exist tests

Author: zuotingbing <zuo.tingbing9@zte.com.cn>

Closes #19841 from zuotingbing/SPARK-stagedir.
2017-12-11 13:36:15 -06:00
..
catalyst [SPARK-12297][SQL] Adjust timezone for int96 data from impala 2017-12-09 11:53:15 +09:00
core [SPARK-22672][SQL][TEST][FOLLOWUP] Fix to use spark.conf 2017-12-09 20:20:28 +09:00
hive [SPARK-22642][SQL] the createdTempDir will not be deleted if an exception occurs, should delete it with try-finally. 2017-12-11 13:36:15 -06:00
hive-thriftserver [SPARK-22496][SQL] thrift server adds operation logs 2017-12-10 20:36:14 -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 [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -07:00

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 allows 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.