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Sameer Agarwal 767d480769 [SPARK-17415][SQL] Better error message for driver-side broadcast join OOMs 
## What changes were proposed in this pull request?

This is a trivial patch that catches all `OutOfMemoryError` while building the broadcast hash relation and rethrows it by wrapping it in a nice error message.

## How was this patch tested?

Existing Tests

Author: Sameer Agarwal <sameerag@cs.berkeley.edu>

Closes #14979 from sameeragarwal/broadcast-join-error.
2016-09-11 17:35:27 +02:00
..
catalyst [SPARK-17439][SQL] Fixing compression issues with approximate quantiles and adding more tests 2016-09-11 08:03:45 +01:00
core [SPARK-17415][SQL] Better error message for driver-side broadcast join OOMs 2016-09-11 17:35:27 +02:00
hive [SPARK-17330][SPARK UT] Clean up spark-warehouse in UT 2016-09-11 10:17:53 +01:00
hive-thriftserver [SPARK-17190][SQL] Removal of HiveSharedState 2016-08-25 12:50:03 +08:00
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.