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Wenchen Fan e2f056f4a8 [SPARK-29975][SQL] introduce --CONFIG_DIM directive 
### What changes were proposed in this pull request?

allow the sql test files to specify different dimensions of config sets during testing. For example,
```
--CONFIG_DIM1 a=1
--CONFIG_DIM1 b=2,c=3

--CONFIG_DIM2 x=1
--CONFIG_DIM2 y=1,z=2
```

This example defines 2 config dimensions, and each dimension defines 2 config sets. We will run the queries 4 times:
1. a=1, x=1
2. a=1, y=1, z=2
3. b=2, c=3, x=1
4. b=2, c=3, y=1, z=2

### Why are the changes needed?

Currently `SQLQueryTestSuite` takes a long time. This is because we run each test at least 3 times, to check with different codegen modes. This is not necessary for most of the tests, e.g. DESC TABLE. We should only check these codegen modes for certain tests.

With the --CONFIG_DIM directive, we can do things like: test different join operator(broadcast or shuffle join) X different codegen modes.

After reducing testing time, we should be able to run thrifter server SQL tests with config settings.

### Does this PR introduce any user-facing change?

no

### How was this patch tested?

test only

Closes #26612 from cloud-fan/test.

Authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
2019-11-22 10:56:28 +09:00
..
catalyst [SPARK-29558][SQL] ResolveTables and ResolveRelations should be order-insensitive 2019-11-21 09:47:42 -08:00
core [SPARK-29975][SQL] introduce --CONFIG_DIM directive 2019-11-22 10:56:28 +09:00
hive [MINOR][TESTS] Replace JVM assert with JUnit Assert in tests 2019-11-20 14:04:15 -06:00
hive-thriftserver [SPARK-29975][SQL] introduce --CONFIG_DIM directive 2019-11-22 10:56:28 +09:00
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-27328][SQL] Add 'deprecated' in ExpressionDescription for extended usage and SQL doc 2019-04-09 13:49:42 +08:00
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-28980][CORE][SQL][STREAMING][MLLIB] Remove most items deprecated in Spark 2.2.0 or earlier, for Spark 3 2019-09-09 10:19:40 -05:00

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 extensions that allow users to write queries using a subset of HiveQL and access data from a Hive Metastore using Hive SerDes. There are also wrappers that allow 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.