spark-instrumented-optimizer/sql
Sean Owen 6c7d094ec4
[SPARK-18022][SQL] java.lang.NullPointerException instead of real exception when saving DF to MySQL
## What changes were proposed in this pull request?

On null next exception in JDBC, don't init it as cause or suppressed

## How was this patch tested?

Existing tests

Author: Sean Owen <sowen@cloudera.com>

Closes #15599 from srowen/SPARK-18022.
2016-10-26 14:19:40 +02:00
..
catalyst [SPARK-18070][SQL] binary operator should not consider nullability when comparing input types 2016-10-25 12:08:17 -07:00
core [SPARK-18022][SQL] java.lang.NullPointerException instead of real exception when saving DF to MySQL 2016-10-26 14:19:40 +02:00
hive [SPARK-18026][SQL] should not always lowercase partition columns of partition spec in parser 2016-10-25 15:00:33 +08:00
hive-thriftserver [SPARK-17819][SQL] Support default database in connection URIs for Spark Thrift Server 2016-10-16 20:15:32 -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.