ODIn/spark-instrumented-optimizer
1
0
Fork 0
Code Issues Pull requests Projects Releases Wiki Activity
spark-instrumented-optimizer/sql
History
Tathagata Das bbc247548a [SPARK-16748][SQL] SparkExceptions during planning should not wrapped in TreeNodeException 
## What changes were proposed in this pull request?
We do not want SparkExceptions from job failures in the planning phase to create TreeNodeException. Hence do not wrap SparkException in TreeNodeException.

## How was this patch tested?
New unit test

Author: Tathagata Das <tathagata.das1565@gmail.com>

Closes #14395 from tdas/SPARK-16748.
2016-07-29 19:59:35 -07:00
..
catalyst [SPARK-16748][SQL] SparkExceptions during planning should not wrapped in TreeNodeException 2016-07-29 19:59:35 -07:00
core [SPARK-16748][SQL] SparkExceptions during planning should not wrapped in TreeNodeException 2016-07-29 19:59:35 -07:00
hive [SPARK-16552][SQL] Store the Inferred Schemas into External Catalog Tables when Creating Tables 2016-07-28 17:29:26 +08:00
hive-thriftserver [SPARK-16535][BUILD] In pom.xml, remove groupId which is redundant definition and inherited from the parent 2016-07-19 11:59:46 +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.