spark-instrumented-optimizer/sql
Reynold Xin a36653c5b7 [SPARK-18192] Support all file formats in structured streaming
## What changes were proposed in this pull request?
This patch adds support for all file formats in structured streaming sinks. This is actually a very small change thanks to all the previous refactoring done using the new internal commit protocol API.

## How was this patch tested?
Updated FileStreamSinkSuite to add test cases for json, text, and parquet.

Author: Reynold Xin <rxin@databricks.com>

Closes #15711 from rxin/SPARK-18192.
2016-11-01 23:37:03 -07:00
..
catalyst [SPARK-18183][SPARK-18184] Fix INSERT [INTO|OVERWRITE] TABLE ... PARTITION for Datasource tables 2016-11-02 14:15:10 +08:00
core [SPARK-18192] Support all file formats in structured streaming 2016-11-01 23:37:03 -07:00
hive [SPARK-18183][SPARK-18184] Fix INSERT [INTO|OVERWRITE] TABLE ... PARTITION for Datasource tables 2016-11-02 14:15:10 +08:00
hive-thriftserver [SPARK-17350][SQL] Disable default use of KryoSerializer in Thrift Server 2016-11-01 16:23:47 -07:00
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.