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Jungtaek Lim (HeartSaVioR) d72f39897b
[SPARK-27254][SS] Cleanup complete but invalid output files in ManifestFileCommitProtocol if job is aborted 
## What changes were proposed in this pull request?

SPARK-27210 enables ManifestFileCommitProtocol to clean up incomplete output files in task level if task is aborted.

This patch extends the area of cleaning up, proposes ManifestFileCommitProtocol to clean up complete but invalid output files in job level if job aborts. Please note that this works as 'best-effort', not kind of guarantee, as we have in HadoopMapReduceCommitProtocol.

## How was this patch tested?

Added UT.

Closes #24186 from HeartSaVioR/SPARK-27254.

Lead-authored-by: Jungtaek Lim (HeartSaVioR) <kabhwan@gmail.com>
Co-authored-by: Jungtaek Lim (HeartSaVioR) <kabhwan.opensource@gmail.com>
Signed-off-by: Shixiong Zhu <zsxwing@gmail.com>
2019-09-27 12:35:26 -07:00
..
catalyst [SPARK-21914][SQL][TESTS] Check results of expression examples 2019-09-27 21:30:37 +09:00
core [SPARK-27254][SS] Cleanup complete but invalid output files in ManifestFileCommitProtocol if job is aborted 2019-09-27 12:35:26 -07:00
hive [SPARK-29015][SQL][TEST-HADOOP3.2] Reset class loader after initializing SessionState for built-in Hive 2.3 2019-09-27 10:23:56 -05:00
hive-thriftserver [SPARK-28997][SQL] Add spark.sql.dialect 2019-09-26 21:00:27 +08:00
create-docs.sh
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
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.