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Sean Zhong bca43cd635 [SPARK-16898][SQL] Adds argument type information for typed logical plan like MapElements, TypedFilter, and AppendColumn 
## What changes were proposed in this pull request?

This PR adds argument type information for typed logical plan like MapElements, TypedFilter, and AppendColumn, so that we can use these info in customized optimizer rule.

## How was this patch tested?

Existing test.

Author: Sean Zhong <seanzhong@databricks.com>

Closes #14494 from clockfly/add_more_info_for_typed_operator.
2016-08-09 08:36:50 +08:00
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catalyst [SPARK-16898][SQL] Adds argument type information for typed logical plan like MapElements, TypedFilter, and AppendColumn 2016-08-09 08:36:50 +08:00
core [SPARK-16898][SQL] Adds argument type information for typed logical plan like MapElements, TypedFilter, and AppendColumn 2016-08-09 08:36:50 +08:00
hive [SPARK-16779][TRIVIAL] Avoid using postfix operators where they do not add much and remove whitelisting 2016-08-08 15:54:03 -07:00
hive-thriftserver [SPARK-16535][BUILD] In pom.xml, remove groupId which is redundant definition and inherited from the parent 2016-07-19 11:59:46 +01:00
README.md [SPARK-16557][SQL] Remove stale doc in sql/README.md 2016-07-14 19:24:42 -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.