1fd9a91c66
### What changes were proposed in this pull request? In the PR, I propose to change `DateTimeUtils.stringToTimestamp` to support any valid time zone id at the end of input string. After the changes, the function accepts zone ids in the formats: - no zone id. In that case, the function uses the local session time zone from the SQL config `spark.sql.session.timeZone` - -[h]h:[m]m - +[h]h:[m]m - Z - Short zone id, see https://docs.oracle.com/javase/8/docs/api/java/time/ZoneId.html#SHORT_IDS - Zone ID starts with 'UTC+', 'UTC-', 'GMT+', 'GMT-', 'UT+' or 'UT-'. The ID is split in two, with a two or three letter prefix and a suffix starting with the sign. The suffix must be in the formats: - +|-h[h] - +|-hh[:]mm - +|-hh:mm:ss - +|-hhmmss - Region-based zone IDs in the form `{area}/{city}`, such as `Europe/Paris` or `America/New_York`. The default set of region ids is supplied by the IANA Time Zone Database (TZDB). ### Why are the changes needed? - To use `stringToTimestamp` as a substitution of removed `stringToTime`, see https://github.com/apache/spark/pull/27710#discussion_r385020173 - Improve UX of Spark SQL by allowing flexible formats of zone ids. Currently, Spark accepts only `Z` and zone offsets that can be inconvenient when a time zone offset is shifted due to daylight saving rules. For instance: ```sql spark-sql> select cast('2015-03-18T12:03:17.123456 Europe/Moscow' as timestamp); NULL ``` ### Does this PR introduce any user-facing change? Yes. After the changes, casting strings to timestamps allows time zone id at the end of the strings: ```sql spark-sql> select cast('2015-03-18T12:03:17.123456 Europe/Moscow' as timestamp); 2015-03-18 12:03:17.123456 ``` ### How was this patch tested? - Added new test cases to the `string to timestamp` test in `DateTimeUtilsSuite`. - Run `CastSuite` and `AnsiCastSuite`. Closes #27753 from MaxGekk/stringToTimestamp-uni-zoneId. Authored-by: Maxim Gekk <max.gekk@gmail.com> Signed-off-by: Wenchen Fan <wenchen@databricks.com> |
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| .. | ||
| catalyst | ||
| core | ||
| hive | ||
| hive-thriftserver | ||
| create-docs.sh | ||
| gen-sql-api-docs.py | ||
| gen-sql-config-docs.py | ||
| mkdocs.yml | ||
| 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.