spark-instrumented-optimizer/sql
Xiao Li 415f9f3423 [SPARK-19921][SQL][TEST] Enable end-to-end testing using different Hive metastore versions.
### What changes were proposed in this pull request?

To improve the quality of our Spark SQL in different Hive metastore versions, this PR is to enable end-to-end testing using different versions. This PR allows the test cases in sql/hive to pass the existing Hive client to create a SparkSession.
- Since Derby does not allow concurrent connections, the pre-built Hive clients use different database from the TestHive's built-in 1.2.1 client.
- Since our test cases in sql/hive only can create a single Spark context in the same JVM, the newly created SparkSession share the same spark context with the existing TestHive's corresponding SparkSession.

### How was this patch tested?
Fixed the existing test cases.

Author: Xiao Li <gatorsmile@gmail.com>

Closes #17260 from gatorsmile/versionSuite.
2017-03-14 14:19:02 +08:00
..
catalyst [SPARK-17495][SQL] Support date, timestamp and interval types in Hive hash 2017-03-12 20:08:44 -07:00
core [SPARK-19921][SQL][TEST] Enable end-to-end testing using different Hive metastore versions. 2017-03-14 14:19:02 +08:00
hive [SPARK-19921][SQL][TEST] Enable end-to-end testing using different Hive metastore versions. 2017-03-14 14:19:02 +08:00
hive-thriftserver [SPARK-19673][SQL] "ThriftServer default app name is changed wrong" 2017-02-25 21:47:02 +00:00
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.