ODIn/spark-instrumented-optimizer
1
0
Fork 0
Code Issues Pull requests Projects Releases Wiki Activity
spark-instrumented-optimizer/sql
History
Sean Owen db9fb9baac
[SPARK-18448][CORE] SparkSession should implement java.lang.AutoCloseable like JavaSparkContext 
## What changes were proposed in this pull request?

Just adds `close()` + `Closeable` as a synonym for `stop()`. This makes it usable in Java in try-with-resources, as suggested by ash211  (`Closeable` extends `AutoCloseable` BTW)

## How was this patch tested?

Existing tests

Author: Sean Owen <sowen@cloudera.com>

Closes #15932 from srowen/SPARK-18448.
2016-11-19 09:00:11 +00:00
..
catalyst [SPARK-18442][SQL] Fix nullability of WrapOption. 2016-11-17 11:21:08 +08:00
core [SPARK-18448][CORE] SparkSession should implement java.lang.AutoCloseable like JavaSparkContext 2016-11-19 09:00:11 +00:00
hive [SPARK-18505][SQL] Simplify AnalyzeColumnCommand 2016-11-18 16:34:11 -08:00
hive-thriftserver [SPARK-14914][CORE] Fix Resource not closed after using, for unit tests and example 2016-11-10 10:54:36 +00:00
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.