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Marco Gaido 6a143e3ebf [SPARK-23928][TESTS][FOLLOWUP] Set seed to avoid flakiness 
## What changes were proposed in this pull request?

The tests for shuffle can be flaky (eg. https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/94355/testReport/). This happens because we have not set the seed for `Random`.

## How was this patch tested?

running 10000 times the UT (validated that with a different seed eg. 12345 the test fails).

Closes #22023 from mgaido91/SPARK-23928_followup.

Authored-by: Marco Gaido <marcogaido91@gmail.com>
Signed-off-by: hyukjinkwon <gurwls223@apache.org>
2018-08-07 22:23:59 +08:00
..
catalyst [SPARK-23928][TESTS][FOLLOWUP] Set seed to avoid flakiness 2018-08-07 22:23:59 +08:00
core [SPARK-19602][SQL] Support column resolution of fully qualified column name ( 3 part name) 2018-08-07 21:11:08 +08:00
hive [SPARK-19602][SQL] Support column resolution of fully qualified column name ( 3 part name) 2018-08-07 21:11:08 +08:00
hive-thriftserver [SPARK-24829][STS] In Spark Thrift Server, CAST AS FLOAT inconsistent with spark-shell or spark-sql 2018-07-27 13:27:17 +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 [MINOR][DOC] Fix some typos and grammar issues 2018-04-06 13:37:08 +08:00

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 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.