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[SPARK-28793][DOC][SQL] Document CREATE FUNCTION in SQL Reference #25894
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| limitations under the License. | ||
| --- | ||
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| **This page is under construction** | ||
| ### Description | ||
| `CREATE FUNCTION` statement is used to create a temporary or permanent function | ||
| in Spark. Temporary functions are scoped at a session level where as permanent | ||
| functions are created in the persistent catalog and are made available to | ||
| all sessions. The resources specified in the `USING` clause are made available | ||
| to all executors when they are executed for the first time. | ||
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| ### Syntax | ||
| {% highlight sql %} | ||
| CREATE [ OR REPLACE ] [ TEMPORARY ] FUNCTION [ IF NOT EXISTS ] | ||
| function_name AS class_name [ resource_locations ] | ||
| {% endhighlight %} | ||
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| ### Parameters | ||
| <dl> | ||
| <dt><code><em>OR REPLACE</em></code></dt> | ||
| <dd> | ||
| If specified, the resources for function are reloaded. This is mainly useful | ||
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| to pick up any changes made to the implementation of the function. This | ||
| parameter is mutually exclusive to <code>IF NOT EXISTS</code> and can not | ||
| be specified together. | ||
| </dd> | ||
| <dt><code><em>TEMPORARY</em></code></dt> | ||
| <dd> | ||
| Indicates the scope of function being created. When TEMPORARY is specified, the | ||
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| created function is valid in the current session. No persistent entry is made | ||
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| in the catalog for these kind of functions. | ||
| </dd> | ||
| <dt><code><em>IF NOT EXISTS</em></code></dt> | ||
| <dd> | ||
| If specified, creates the function only when it does not exist. The creation | ||
| of function succeeds (no error is thrown), if the specified function already | ||
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| exists in the system. This parameter is mutually exclusive to <code> OR REPLACE</code> | ||
| and can not be specified together. | ||
| </dd> | ||
| <dt><code><em>function_name</em></code></dt> | ||
| <dd> | ||
| Specifies a name of funnction to be created. The function name may be | ||
| optionally qualified with a database name. <br><br> | ||
| <b>Syntax:</b> | ||
| <code> | ||
| [database_name.]function_name | ||
| </code> | ||
| </dd> | ||
| <dt><code><em>class_name</em></code></dt> | ||
| <dd> | ||
| Specifies the name of the class that provides the implementation for function to be created. | ||
| The implementing class should extend from one of the base classes in `Hive` as follows: | ||
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| <ul> | ||
| <li>Should extend UDF or UDAF in org.apache.hadoop.hive.ql.exec</li> | ||
| <li>Should extend AbstractGenericUDAFResolver, GenericUDF, or GenericUDTF in org.apache.hadoop.hive.ql.udf.generic.</li> | ||
| </ul> | ||
| </dd> | ||
| <dt><code><em>resource_locations</em></code></dt> | ||
| <dd> | ||
| Specifies the list of resources that contain the implementation of the function | ||
| along with its dependencies. <br><br> | ||
| <b>Syntax:</b> | ||
| <code> | ||
| USING { { (JAR | FILE ) resource_uri} , ...} | ||
| </code> | ||
| </dd> | ||
| </dl> | ||
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| ### Examples | ||
| {% highlight sql %} | ||
| -- 1. Create a simple UDF `SimpleUdf` that adds the supplied integet value by 10. | ||
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| -- import org.apache.hadoop.hive.ql.exec.UDF; | ||
| -- public class SimpleUdf extends UDF { | ||
| -- public int evaluate(int value) { | ||
| -- return value + 10; | ||
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| -- } | ||
| -- } | ||
| -- 2. Compile and place it in a jar file called `SimpleUdf.jar` in /tmp. | ||
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| -- Create a table called `test` and insert two rows. | ||
| CREATE TABLE test(c1 INT); | ||
| INSERT INTO test VALUES (1), (2); | ||
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| -- Create a permanent function called `simple_udf`. | ||
| CREATE FUNCTION simple_udf AS 'SimpleUdf' | ||
| USING JAR '/tmp/SimpleUdf.jar'; | ||
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| -- Verify that the function is in the registry. | ||
| SHOW USER FUNCTIONS; | ||
| +------------------+ | ||
| | function| | ||
| +------------------+ | ||
| |default.simple_udf| | ||
| +------------------+ | ||
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| -- Invoke the function. Every selected value should be incremented by 10. | ||
| SELECT simple_udf(c1) AS function_return_value FROM t1; | ||
| +---------------------+ | ||
| |function_return_value| | ||
| +---------------------+ | ||
| | 11| | ||
| | 12| | ||
| +---------------------+ | ||
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| -- Created a temporary function. | ||
| CREATE TEMPORARY FUNCTION simple_temp_udf AS 'SimpleUdf' | ||
| USING JAR '/tmp/SimpleUdf.jar'; | ||
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| -- Verify that the newly created temporary function is in the registry. | ||
| -- Please note that the temporary function does not have a qualified | ||
| -- database associated with it. | ||
| SHOW USER FUNCTIONS; | ||
| +------------------+ | ||
| | function| | ||
| +------------------+ | ||
| |default.simple_udf| | ||
| | simple_temp_udf| | ||
| +------------------+ | ||
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| -- 1. Mofify `SimpleUdf`'s implementation to add supplied integet value by 20. | ||
| -- import org.apache.hadoop.hive.ql.exec.UDF; | ||
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| -- public class SimpleUdfR extends UDF { | ||
| -- public int evaluate(int value) { | ||
| -- return value + 20; | ||
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| -- } | ||
| -- } | ||
| -- 2. Compile and place it in a jar file called `SimpleUdfR.jar` in /tmp. | ||
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| -- Replace the implementation of `simple_udf` | ||
| CREATE OR REPLACE FUNCTION simple_udf AS 'SimpleUdfR' | ||
| USING JAR '/tmp/SimpleUdfR.jar'; | ||
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| -- Invoke the function. Every selected value should be incremented by 20. | ||
| SELECT simple_udf(c1) AS function_return_value FROM t1; | ||
| +---------------------+ | ||
| |function_return_value| | ||
| +---------------------+ | ||
| | 21| | ||
| | 22| | ||
| +---------------------+ | ||
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| {% endhighlight %} | ||
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| ### Related statements | ||
| - [SHOW FUNCTIONS](sql-ref-syntax-aux-show-functions.html) | ||
| - [DESCRIBE FUNCTION](sql-ref-syntax-aux-describe-function.html) | ||
| - [DESCRIBE FUNCTION](sql-ref-syntax-aux-describe-function.html) | ||
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| - [DROP FUNCTION](sql-ref-syntax-ddl-drop-function.html) | ||
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We also need to explain we can create/register temporary SQL functions via Python/Scala/Java APIs.
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@gatorsmile I have created a place holder link for custom scalar functions. There is already a place holder for aggregate functions and a lot of content is already in place.