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Dongjoon Hyun c1e5688d1a [SPARK-22672][SQL][TEST] Refactor ORC Tests 
## What changes were proposed in this pull request?

Since SPARK-20682, we have two `OrcFileFormat`s. This PR refactors ORC tests with three principles (with a few exceptions)
1. Move test suite into `sql/core`.
2. Create `HiveXXX` test suite in `sql/hive` by reusing `sql/core` test suite.
3. `OrcTest` will provide common helper functions and `val orcImp: String`.

**Test Suites**

*Native OrcFileFormat*
- org.apache.spark.sql.hive.orc
  - OrcFilterSuite
  - OrcPartitionDiscoverySuite
  - OrcQuerySuite
  - OrcSourceSuite
- o.a.s.sql.hive.orc
  - OrcHadoopFsRelationSuite

*Hive built-in OrcFileFormat*

- o.a.s.sql.hive.orc
  - HiveOrcFilterSuite
  - HiveOrcPartitionDiscoverySuite
  - HiveOrcQuerySuite
  - HiveOrcSourceSuite
  - HiveOrcHadoopFsRelationSuite

**Hierarchy**
```
OrcTest
    -> OrcSuite
        -> OrcSourceSuite
    -> OrcQueryTest
        -> OrcQuerySuite
    -> OrcPartitionDiscoveryTest
        -> OrcPartitionDiscoverySuite
    -> OrcFilterSuite

HadoopFsRelationTest
    -> OrcHadoopFsRelationSuite
        -> HiveOrcHadoopFsRelationSuite
```

Please note the followings.
- Unlike the other test suites, `OrcHadoopFsRelationSuite` doesn't inherit `OrcTest`. It is inside `sql/hive` like `ParquetHadoopFsRelationSuite` due to the dependencies and follows the existing convention to use `val dataSourceName: String`
- `OrcFilterSuite`s cannot reuse test cases due to the different function signatures using Hive 1.2.1 ORC classes and Apache ORC 1.4.1 classes.

## How was this patch tested?

Pass the Jenkins tests with reorganized test suites.

Author: Dongjoon Hyun <dongjoon@apache.org>

Closes #19882 from dongjoon-hyun/SPARK-22672.
2017-12-07 20:42:46 +08:00
..
catalyst [SPARK-22688][SQL] Upgrade Janino version to 3.0.8 2017-12-06 16:15:25 -08:00
core [SPARK-22672][SQL][TEST] Refactor ORC Tests 2017-12-07 20:42:46 +08:00
hive [SPARK-22672][SQL][TEST] Refactor ORC Tests 2017-12-07 20:42:46 +08:00
hive-thriftserver [SPARK-22487][SQL][FOLLOWUP] still keep spark.sql.hive.version 2017-11-13 13:10:13 -08:00
create-docs.sh [MINOR][DOCS] Minor doc fixes related with doc build and uses script dir in SQL doc gen script 2017-08-26 13:56:24 +09:00
gen-sql-markdown.py [SPARK-21485][FOLLOWUP][SQL][DOCS] Describes examples and arguments separately, and note/since in SQL built-in function documentation 2017-08-05 10:10:56 -07:00
mkdocs.yml [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -07:00
README.md [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -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.

Running sql/create-docs.sh generates SQL documentation for built-in functions under sql/site.