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Shixiong Zhu 3ef183a941
[SPARK-19113][SS][TESTS] Set UncaughtExceptionHandler in onQueryStarted to ensure catching fatal errors during query initialization 
## What changes were proposed in this pull request?

StreamTest sets `UncaughtExceptionHandler` after starting the query now. It may not be able to catch fatal errors during query initialization. This PR uses `onQueryStarted` callback to fix it.

## How was this patch tested?

Jenkins

Author: Shixiong Zhu <shixiong@databricks.com>

Closes #16492 from zsxwing/SPARK-19113.
2017-01-10 14:24:45 +00:00
..
catalyst [SPARK-16845][SQL] GeneratedClass$SpecificOrdering grows beyond 64 KB 2017-01-10 19:35:46 +08:00
core [SPARK-19113][SS][TESTS] Set UncaughtExceptionHandler in onQueryStarted to ensure catching fatal errors during query initialization 2017-01-10 14:24:45 +00:00
hive [SPARK-19117][TESTS] Skip the tests using script transformation on Windows 2017-01-10 13:22:35 +00:00
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

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.