spark-instrumented-optimizer/sql
Max Gekk 3f4c32b3ca [SPARK-35099][SQL] Convert ANSI interval literals to SQL string in ANSI style
### What changes were proposed in this pull request?
Handle `YearMonthIntervalType` and `DayTimeIntervalType` in the `sql()` and `toString()` method of `Literal`, and format the ANSI interval in the ANSI style.

### Why are the changes needed?
To improve readability and UX with Spark SQL. For example, a test output before the changes:
```
-- !query
select timestamp'2011-11-11 11:11:11' - interval '2' day
-- !query schema
struct<TIMESTAMP '2011-11-11 11:11:11' - 172800000000:timestamp>
-- !query output
2011-11-09 11:11:11
```

### Does this PR introduce _any_ user-facing change?
Should not since the new intervals haven't been released yet.

### How was this patch tested?
By running new tests:
```
$ ./build/sbt "test:testOnly *LiteralExpressionSuite"
```

Closes #32196 from MaxGekk/literal-ansi-interval-sql.

Authored-by: Max Gekk <max.gekk@gmail.com>
Signed-off-by: Max Gekk <max.gekk@gmail.com>
2021-04-16 08:22:25 +03:00
..
catalyst [SPARK-35099][SQL] Convert ANSI interval literals to SQL string in ANSI style 2021-04-16 08:22:25 +03:00
core [SPARK-35070][SQL] TRANSFORM not support alias in inputs 2021-04-15 06:51:07 +00:00
hive [MINOR][SQL] Refactor the comments in HiveClientImpl.withHiveState 2021-04-14 21:42:35 -07:00
hive-thriftserver [SPARK-35086][SQL][CORE] --verbose should be passed to Spark SQL CLI too 2021-04-15 12:59:20 +08:00
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-31550][SQL][DOCS] Set nondeterministic configurations with general meanings in sql configuration doc 2020-04-27 17:08:52 +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 [SPARK-30731] Update deprecated Mkdocs option 2020-02-19 17:28:58 +09:00
README.md [SPARK-30510][SQL][DOCS] Publicly document Spark SQL configuration options 2020-02-09 19:20:47 +09:00

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 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.