Amazon Redshift will no longer support the creation of new Python UDFs starting Patch 198. Existing Python UDFs will continue to function until June 30, 2026. For more information, see the [ blog post ](https://amazonaws-china.com/blogs/big-data/amazon-redshift-python-user-defined-functions-will-reach-end-of-support-after-june-30-2026/). 

# SVV\$1MV\$1DEPENDENCY
<a name="r_SVV_MV_DEPENDENCY"></a>

The SVV\$1MV\$1DEPENDENCY table shows the dependencies of materialized views on other materialized views within Amazon Redshift. 

For more information about materialized views, see [Materialized views in Amazon Redshift](materialized-view-overview.md).

SVV\$1MV\$1DEPENDENCY is visible to all users. Superusers can see all rows; regular users can see only their own data. For more information, see [Visibility of data in system tables and views](cm_chap_system-tables.md#c_visibility-of-data).

## Table columns
<a name="r_SVV_MV_DEPENDENCY-table-columns"></a>

[\[See the AWS documentation website for more details\]](http://docs.amazonaws.cn/en_us/redshift/latest/dg/r_SVV_MV_DEPENDENCY.html)

## Sample query
<a name="r_SVV_MV_DEPENDENCY-sample-query"></a>

The following query returns an output row that indicates that the materialized view `mv_over_foo` uses the materialized view `mv_foo` in its definition as a dependency.

```
CREATE SCHEMA test_ivm_setup;
CREATE TABLE test_ivm_setup.foo(a INT);
CREATE MATERIALIZED VIEW test_ivm_setup.mv_foo AS SELECT * FROM test_ivm_setup.foo;
CREATE MATERIALIZED VIEW test_ivm_setup.mv_over_foo AS SELECT * FROM test_ivm_setup.mv_foo;

SELECT * FROM svv_mv_dependency;
                
 database_name | schema_name          | name        | dependent_database_name | dependent_schema_name     | dependent_name 
---------------+----------------------+-------------+-------------------------+---------------------------+----------
 dev           | test_ivm_setup       | mv_over_foo |                     dev | test_ivm_setup            | mv_foo
```