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Marcelo Vanzin 5da6c4b24f [SPARK-16671][CORE][SQL] Consolidate code to do variable substitution. 
Both core and sql have slightly different code that does variable substitution
of config values. This change refactors that code and encapsulates the logic
of reading config values and expading variables in a new helper class, which
can be configured so that both core and sql can use it without losing existing
functionality, and allows for easier testing and makes it easier to add more
features in the future.

Tested with existing and new unit tests, and by running spark-shell with
some configs referencing variables and making sure it behaved as expected.

Author: Marcelo Vanzin <vanzin@cloudera.com>

Closes #14468 from vanzin/SPARK-16671.
2016-08-15 11:09:54 -07:00
..
catalyst [SPARK-16771][SQL] WITH clause should not fall into infinite loop. 2016-08-12 19:07:34 +02:00
core [SPARK-16671][CORE][SQL] Consolidate code to do variable substitution. 2016-08-15 11:09:54 -07:00
hive [SPARK-17013][SQL] Parse negative numeric literals 2016-08-11 23:56:55 -07:00
hive-thriftserver [SPARK-16941] Use concurrentHashMap instead of scala Map in SparkSQLOperationManager. 2016-08-11 11:28:28 +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.