f1d27cdd91
### What changes were proposed in this pull request? ``` <extract expression> ::= EXTRACT <left paren> <extract field> FROM <extract source> <right paren> <extract source> ::= <datetime value expression> | <interval value expression> ``` We now only support datetime values as extract source for `extract` expression but it's alternative function `date_part` supports both datetime and interval. This pr adds interval value support for `extract` expression as extract source ### Why are the changes needed? For ANSI compliance and the semantic consistency between extract and `date_part`, we support intervals for extract expressions. ### Does this PR introduce any user-facing change? yes, in the `extract(abc from xyz)` expression, the `xyz` can be intervals ### How was this patch tested? add unit tests Closes #27876 from yaooqinn/SPARK-31119. Authored-by: Kent Yao <yaooqinn@hotmail.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.