f16140975d
## What changes were proposed in this pull request? This pr adds `transform_values` function which applies the function to each entry of the map and transforms the values. ```javascript > SELECT transform_values(map(array(1, 2, 3), array(1, 2, 3)), (k,v) -> v + 1); map(1->2, 2->3, 3->4) > SELECT transform_values(map(array(1, 2, 3), array(1, 2, 3)), (k,v) -> k + v); map(1->2, 2->4, 3->6) ``` ## How was this patch tested? New Tests added to `DataFrameFunctionsSuite` `HigherOrderFunctionsSuite` `SQLQueryTestSuite` Closes #22045 from codeatri/SPARK-23940. Authored-by: codeatri <nehapatil6@gmail.com> Signed-off-by: Takuya UESHIN <ueshin@databricks.com> |
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catalyst | ||
core | ||
hive | ||
hive-thriftserver | ||
create-docs.sh | ||
gen-sql-markdown.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 an extension of SQLContext called HiveContext that allows 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
.