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Liang-Chi Hsieh 8f225e055c [SPARK-24548][SQL] Fix incorrect schema of Dataset with tuple encoders 
## What changes were proposed in this pull request?

When creating tuple expression encoders, we should give the serializer expressions of tuple items correct names, so we can have correct output schema when we use such tuple encoders.

## How was this patch tested?

Added test.

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

Closes #21576 from viirya/SPARK-24548.
2018-06-18 11:01:17 -07:00
..
catalyst [SPARK-24548][SQL] Fix incorrect schema of Dataset with tuple encoders 2018-06-18 11:01:17 -07:00
core [SPARK-24548][SQL] Fix incorrect schema of Dataset with tuple encoders 2018-06-18 11:01:17 -07:00
hive [SPARK-24452][SQL][CORE] Avoid possible overflow in int add or multiple 2018-06-15 13:47:48 -07:00
hive-thriftserver [SPARK-20120][SQL][FOLLOW-UP] Better way to support spark-sql silent mode. 2018-05-22 08:20:59 -05:00
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.