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Angerszhuuuu 74bfbcd643 [SPARK-36021][SQL] Parse interval literals should support more than 2 digits 
### What changes were proposed in this pull request?
For case
```
spark-sql> select interval '123456:12' minute to second;
Error in query:
requirement failed: Interval string must match day-time format of '^(?<sign>[+|-])?(?<minute>\d{1,2}):(?<second>(\d{1,2})(\.(\d{1,9}))?)$': 123456:12, set spark.sql.legacy.fromDayTimeString.enabled to true to restore the behavior before Spark 3.0.(line 1, pos 16)

== SQL ==
select interval '123456:12' minute to second
----------------^^^
```

we should support hour/minute/second when for more than 2 digits when parse interval literal string

### Why are the changes needed?
Keep consistence

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

### How was this patch tested?
Added UT

Closes #33231 from AngersZhuuuu/SPARK-36021.

Authored-by: Angerszhuuuu <angers.zhu@gmail.com>
Signed-off-by: Max Gekk <max.gekk@gmail.com>
(cherry picked from commit ea3333a200)
Signed-off-by: Max Gekk <max.gekk@gmail.com>
2021-07-07 20:31:40 +03:00
..
catalyst [SPARK-36021][SQL] Parse interval literals should support more than 2 digits 2021-07-07 20:31:40 +03:00
core [SPARK-36021][SQL] Parse interval literals should support more than 2 digits 2021-07-07 20:31:40 +03:00
hive [SPARK-35686][SQL] Not allow using auto-generated alias when creating view 2021-07-01 12:47:38 +00:00
hive-thriftserver [SPARK-35966][SQL] Port HIVE-17952: Fix license headers to avoid dangling javadoc warnings 2021-07-01 18:22:04 +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-32194][PYTHON] Use proper exception classes instead of plain Exception 2021-05-26 11:54:40 +09:00
gen-sql-functions-docs.py
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.