spark-instrumented-optimizer/sql
Tsuyoshi Ozawa 9112f31bb8
[SPARK-19207][SQL] LocalSparkSession should use Slf4JLoggerFactory.INSTANCE
## What changes were proposed in this pull request?

Using Slf4JLoggerFactory.INSTANCE instead of creating Slf4JLoggerFactory's object with constructor. It's deprecated.

## How was this patch tested?

With running StateStoreRDDSuite.

Author: Tsuyoshi Ozawa <ozawa@apache.org>

Closes #16570 from oza/SPARK-19207.
2017-01-15 11:11:21 +00:00
..
catalyst [SPARK-19178][SQL] convert string of large numbers to int should return null 2017-01-12 22:52:34 -08:00
core [SPARK-19207][SQL] LocalSparkSession should use Slf4JLoggerFactory.INSTANCE 2017-01-15 11:11:21 +00:00
hive [SPARK-19151][SQL] DataFrameWriter.saveAsTable support hive overwrite 2017-01-14 10:53:33 -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

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.