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Jose Torres 86a8450318 [SPARK-23033][SS] Don't use task level retry for continuous processing 
## What changes were proposed in this pull request?

Continuous processing tasks will fail on any attempt number greater than 0. ContinuousExecution will catch these failures and restart globally from the last recorded checkpoints.
## How was this patch tested?
unit test

Author: Jose Torres <jose@databricks.com>

Closes #20225 from jose-torres/no-retry.
2018-01-17 13:52:51 -08:00
..
catalyst [SPARK-23079][SQL] Fix query constraints propagation with aliases 2018-01-18 00:05:26 +08:00
core [SPARK-23033][SS] Don't use task level retry for continuous processing 2018-01-17 13:52:51 -08:00
hive [SPARK-23072][SQL][TEST] Add a Unicode schema test for file-based data sources 2018-01-17 14:32:18 +08:00
hive-thriftserver [SPARK-23028] Bump master branch version to 2.4.0-SNAPSHOT 2018-01-13 00:37:59 +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

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 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.