159ff9fd14
### What changes were proposed in this pull request? In the PR, I propose to use the session time zone ( see the SQL config `spark.sql.session.timeZone`) instead of JVM default time zone while converting of special timestamp_ntz strings such as "today", "tomorrow" and so on. ### Why are the changes needed? Current implementation is based on the system time zone, and it controverses to other functions/classes that use the session time zone. For example, Spark doesn't respects user's settings: ```sql $ export TZ="Europe/Amsterdam" $ ./bin/spark-sql -S spark-sql> select timestamp_ntz'now'; 2021-08-25 18:12:36.233 spark-sql> set spark.sql.session.timeZone=America/Los_Angeles; spark.sql.session.timeZone America/Los_Angeles spark-sql> select timestamp_ntz'now'; 2021-08-25 18:14:40.547 ``` ### Does this PR introduce _any_ user-facing change? Yes. For the example above, after the changes: ```sql spark-sql> select timestamp_ntz'now'; 2021-08-25 18:47:46.832 spark-sql> set spark.sql.session.timeZone=America/Los_Angeles; spark.sql.session.timeZone America/Los_Angeles spark-sql> select timestamp_ntz'now'; 2021-08-25 09:48:05.211 ``` ### How was this patch tested? By running the affected test suites: ``` $ build/sbt "test:testOnly *DateTimeUtilsSuite" ``` Closes #33838 from MaxGekk/fix-ts_ntz-special-values. Authored-by: Max 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 | ||
gen-sql-functions-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.