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Reynold Xin 0733a54a45 [SPARK-19669][SQL] Open up visibility for sharedState, sessionState, and a few other functions 
## What changes were proposed in this pull request?
To ease debugging, most of Spark SQL internals have public level visibility. Two of the most important internal states, sharedState and sessionState, however, are package private. It would make more sense to open these up as well with clear documentation that they are internal.

In addition, users currently have way to set active/default SparkSession, but no way to actually get them back. We should open those up as well.

## How was this patch tested?
N/A - only visibility change.

Author: Reynold Xin <rxin@databricks.com>

Closes #17002 from rxin/SPARK-19669.
2017-02-20 12:21:07 -08:00
..
catalyst [SPARK-19598][SQL] Remove the alias parameter in UnresolvedRelation 2017-02-19 16:50:16 -08:00
core [SPARK-19669][SQL] Open up visibility for sharedState, sessionState, and a few other functions 2017-02-20 12:21:07 -08:00
hive [SPARK-15453][SQL][FOLLOW-UP] FileSourceScanExec to extract outputOrdering information 2017-02-20 09:04:22 -08:00
hive-thriftserver [SPARK-18857][SQL] Don't use Iterator.duplicate for incrementalCollect in Thrift Server 2017-01-10 13:27:55 +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.