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Gengliang Wang 313dc2d4ed [SPARK-35697][SQL][TESTS] Test TimestampWithoutTZType as ordered and atomic type 
### What changes were proposed in this pull request?
Add `TimestampWithoutTZType` to `DataTypeTestUtils.ordered`/`atomicTypes`, and implement values generation of those types in `LiteralGenerator`/`RandomDataGenerator`. In this way, the types will be tested automatically in:
1. ArithmeticExpressionSuite:
    - "function least"
    - "function greatest"
2. PredicateSuite
    - "BinaryComparison consistency check"
    - "AND, OR, EqualTo, EqualNullSafe consistency check"
3. ConditionalExpressionSuite
    - "if"
4. RandomDataGeneratorSuite
    - "Basic types"
5. CastSuite
    - "null cast"
    - "up-cast"
    - "SPARK-27671: cast from nested null type in struct"
6. OrderingSuite
    - "GenerateOrdering with TimestampWithoutTZType"
7. PredicateSuite
    - "IN with different types"
8. UnsafeRowSuite
    - "calling get(ordinal, datatype) on null columns"
9. SortSuite
    - "sorting on TimestampWithoutTZType ..."

### Why are the changes needed?
To improve test coverage.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
By running the affected test suites.

Closes #32843 from gengliangwang/atomicTest.

Authored-by: Gengliang Wang <gengliang@apache.org>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2021-06-09 15:19:25 +00:00
..
catalyst [SPARK-35697][SQL][TESTS] Test TimestampWithoutTZType as ordered and atomic type 2021-06-09 15:19:25 +00:00
core [SPARK-35693][SS][TEST] Add plan check for stream-stream join unit test 2021-06-09 13:45:16 +00:00
hive [SPARK-35058][SQL] Group exception messages in hive/client 2021-06-09 08:23:09 +00:00
hive-thriftserver [SPARK-21957][SQL][FOLLOWUP] Support CURRENT_USER without tailing parentheses 2021-06-04 13:32:56 +00:00
create-docs.sh [SPARK-34010][SQL][DODCS] Use python3 instead of python in SQL documentation build 2021-01-05 19:48:10 +09:00
gen-sql-api-docs.py [SPARK-34747][SQL][DOCS] Add virtual operators to the built-in function document 2021-03-19 10:19:26 +09:00
gen-sql-config-docs.py [SPARK-32194][PYTHON] Use proper exception classes instead of plain Exception 2021-05-26 11:54:40 +09:00
gen-sql-functions-docs.py [SPARK-31562][SQL] Update ExpressionDescription for substring, current_date, and current_timestamp 2020-04-26 11:46:52 -07:00
mkdocs.yml
README.md

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, and SQL configuration documentation that gets included as part of configuration.md in the main docs directory.