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Kousuke Saruta 4530760c40 [SPARK-35774][SQL] Parse any year-month interval types in SQL 
### What changes were proposed in this pull request?

This PR extends the parser rules to be able to parse the following types:

* INTERVAL YEAR
* INTERVAL YEAR TO MONTH
* INTERVAL MONTH

### Why are the changes needed?

For ANSI compliance.

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

No.

### How was this patch tested?

New assertion.

Closes #32922 from sarutak/parse-any-year-month.

Authored-by: Kousuke Saruta <sarutak@oss.nttdata.com>
Signed-off-by: Max Gekk <max.gekk@gmail.com>
2021-06-16 09:41:57 +03:00
..
catalyst [SPARK-35774][SQL] Parse any year-month interval types in SQL 2021-06-16 09:41:57 +03:00
core [SPARK-35613][CORE][SQL] Cache commonly occurring strings in SQLMetrics, JSONProtocol and AccumulatorV2 classes 2021-06-15 22:02:19 -05:00
hive [SPARK-35429][CORE] Remove commons-httpclient from Hadoop-3.2 profile due to EOL and CVEs 2021-06-15 14:43:30 -07:00
hive-thriftserver [SPARK-35680][SQL] Add fields to YearMonthIntervalType 2021-06-15 23:08:12 +03:00
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.