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Cheng Lian 205e6d5867 [SPARK-18338][SQL][TEST-MAVEN] Fix test case initialization order under Maven builds 
## What changes were proposed in this pull request?

Test case initialization order under Maven and SBT are different. Maven always creates instances of all test cases and then run them all together.

This fails `ObjectHashAggregateSuite` because the randomized test cases there register a temporary Hive function right before creating a test case, and can be cleared while initializing other successive test cases. In SBT, this is fine since the created test case is executed immediately after creating the temporary function.

To fix this issue, we should put initialization/destruction code into `beforeAll()` and `afterAll()`.

## How was this patch tested?

Existing tests.

Author: Cheng Lian <lian@databricks.com>

Closes #15802 from liancheng/fix-flaky-object-hash-agg-suite.
2016-11-09 09:49:02 -08:00
..
catalyst [SPARK-18368] Fix regexp_replace with task serialization. 2016-11-08 23:47:48 -08:00
core [SPARK-17659][SQL] Partitioned View is Not Supported By SHOW CREATE TABLE 2016-11-09 00:11:48 -08:00
hive [SPARK-18338][SQL][TEST-MAVEN] Fix test case initialization order under Maven builds 2016-11-09 09:49:02 -08:00
hive-thriftserver [SPARK-18086] Add support for Hive session vars. 2016-11-07 17:36:15 -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.