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Liu Shaohui d0f36bcb10 [SPARK-20633][SQL] FileFormatWriter should not wrap FetchFailedException 
## What changes were proposed in this pull request?

Explicitly handle the FetchFailedException in FileFormatWriter, so it does not get wrapped.

Note that this is no longer strictly necessary after SPARK-19276, but it improves error messages and also will help avoid others stumbling across this in the future.

## How was this patch tested?

Existing unit tests.

Closes https://github.com/apache/spark/pull/17893

Author: Liu Shaohui <liushaohui@xiaomi.com>

Closes #18145 from squito/SPARK-20633.
2017-05-31 10:53:31 -05:00
..
catalyst [DOCS][MINOR] Scaladoc fixes (aka typo hunting) 2017-05-31 11:24:37 +01:00
core [SPARK-20633][SQL] FileFormatWriter should not wrap FetchFailedException 2017-05-31 10:53:31 -05:00
hive Revert "[SPARK-20392][SQL] Set barrier to prevent re-entering a tree" 2017-05-30 21:14:55 -07:00
hive-thriftserver [SPARK-20213][SQL] Fix DataFrameWriter operations in SQL UI tab 2017-05-30 20:12:32 -07:00
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.