spark-instrumented-optimizer/sql
Liang-Chi Hsieh 4c3cf1cc5c [SPARK-21721][SQL] Clear FileSystem deleteOnExit cache when paths are successfully removed
## What changes were proposed in this pull request?

We put staging path to delete into the deleteOnExit cache of `FileSystem` in case of the path can't be successfully removed. But when we successfully remove the path, we don't remove it from the cache. We should do it to avoid continuing grow the cache size.

## How was this patch tested?

Added a test.

Author: Liang-Chi Hsieh <viirya@gmail.com>

Closes #18934 from viirya/SPARK-21721.
2017-08-14 22:29:15 -07:00
..
catalyst [MINOR][SQL] Additional test case for CheckCartesianProducts rule 2017-08-13 21:33:16 -07:00
core [SPARK-21696][SS] Fix a potential issue that may generate partial snapshot files 2017-08-14 15:06:55 -07:00
hive [SPARK-21721][SQL] Clear FileSystem deleteOnExit cache when paths are successfully removed 2017-08-14 22:29:15 -07:00
hive-thriftserver [SPARK-21637][SPARK-21451][SQL] get spark.hadoop.* properties from sysProps to hiveconf 2017-08-05 17:30:47 -07:00
create-docs.sh [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -07:00
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.