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Jose Torres 4ebff5b6d6 [SPARK-28223][SS] stream-stream joins should fail unsupported checker in update mode 
## What changes were proposed in this pull request?

Right now they fail only for inner joins, because we implemented the check when that was the only supported type.

## How was this patch tested?

new unit test

Closes #25023 from jose-torres/changevalidation.

Authored-by: Jose Torres <torres.joseph.f+github@gmail.com>
Signed-off-by: Jose Torres <torres.joseph.f+github@gmail.com>
2019-07-02 09:59:11 -07:00
..
catalyst [SPARK-28223][SS] stream-stream joins should fail unsupported checker in update mode 2019-07-02 09:59:11 -07:00
core [SPARK-25353][SQL] executeTake in SparkPlan is modified to avoid unnecessary decoding. 2019-07-02 20:55:24 +08:00
hive [SPARK-28054][SQL][FOLLOW-UP] Fix error when insert Hive partitioned table dynamically where partition name is upper case 2019-07-02 14:57:24 +09:00
hive-thriftserver [SPARK-28184][SQL][TEST] Avoid creating new sessions in SparkMetadataOperationSuite 2019-06-29 18:29:37 -07:00
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 [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.