spark-instrumented-optimizer/sql
Kazuaki Ishizaki 7f295059ca [SPARK-21516][SQL][TEST] Overriding afterEach() in DatasetCacheSuite must call super.afterEach()
## What changes were proposed in this pull request?

This PR ensures to call `super.afterEach()` in overriding `afterEach()` method in `DatasetCacheSuite`. When we override `afterEach()` method in Testsuite, we have to call `super.afterEach()`.

This is a follow-up of #18719 and SPARK-21512.

## How was this patch tested?

Used the existing test suite

Author: Kazuaki Ishizaki <ishizaki@jp.ibm.com>

Closes #18721 from kiszk/SPARK-21516.
2017-07-25 10:51:00 +08:00
..
catalyst [SPARK-20871][SQL] limit logging of Janino code 2017-07-23 10:38:03 -07:00
core [SPARK-21516][SQL][TEST] Overriding afterEach() in DatasetCacheSuite must call super.afterEach() 2017-07-25 10:51:00 +08:00
hive [SPARK-10063] Follow-up: remove a useless test related to an old output committer 2017-07-23 21:32:59 +08:00
hive-thriftserver [SPARK-20345][SQL] Fix STS error handling logic on HiveSQLException 2017-06-12 14:05:03 -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.