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Kazuaki Ishizaki ad67993b73 [SPARK-17680][SQL][TEST] Added test cases for InMemoryRelation 
## What changes were proposed in this pull request?

This pull request adds test cases for the following cases:
- keep all data types with null or without null
- access `CachedBatch` disabling whole stage codegen
- access only some columns in `CachedBatch`

This PR is a part of https://github.com/apache/spark/pull/15219. Here are motivations to add these tests. When https://github.com/apache/spark/pull/15219 is enabled, the first two cases are handled by specialized (generated) code. The third one is a pitfall.

In general, even for now, it would be helpful to increase test coverage.
## How was this patch tested?

added test suites itself

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

Closes #15462 from kiszk/columnartestsuites.
2016-11-28 14:06:37 -05:00
..
catalyst [SPARK-16282][SQL] Implement percentile SQL function. 2016-11-28 11:05:58 -08:00
core [SPARK-17680][SQL][TEST] Added test cases for InMemoryRelation 2016-11-28 14:06:37 -05:00
hive [SPARK-16282][SQL] Implement percentile SQL function. 2016-11-28 11:05:58 -08:00
hive-thriftserver [SPARK-14914][CORE] Fix Resource not closed after using, for unit tests and example 2016-11-10 10:54:36 +00:00
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.