createMaterializedView

Last updated: January 27, 2026

Creates a new materialized view in Snowflake with comprehensive data governance features including column-level policies, row access controls, aggregation policies, clustering, tags, and contacts. Materialized views are pre-computed data sets stored as tables that provide query performance benefits. Requires Snowflake Enterprise Edition or higher.

Note: Automatic rollback drops the materialized view.

Known limitation: This change type does not support database inspection features (snapshot, diff, diff-changelog, and generate-changelog commands).

Available attributes

Attribute	Type	Description	Required
`catalogName`	String	Name of the catalog (database) where the materialized view will be created	No
`schemaName`	String	Name of the schema where the materialized view will be created	No
`viewName`	String	Name of the materialized view to create	Yes
`selectStatement`	String	SELECT query defining the view*	Yes
`replaceIfExists`	Boolean	Replace the view if it exists using `OR REPLACE`**	No
`ifNotExists`	Boolean	Only create if the view doesn't exist using `IF NOT EXISTS`**	No
`secure`	Boolean	Create a secure view that restricts access to the view definition	No
`copyGrants`	Boolean	Retain access privileges from the original view when using `OR REPLACE`	No
`clusterBy`	String	Clustering expression(s) for query performance optimization	No
`comment`	String	Comment describing the materialized view	No
`columnMaterializedView`	Nested	Column definitions with optional policies and tags	No
`rowAccessPolicy`	Nested	Row-level security control for the view	No
`aggregationPolicy`	Nested	Aggregation privacy controls	No
`tags`	Nested	Key-value pairs of tags to apply	No
`contacts`	Nested	Key-value pairs mapping contact purposes to contact names	No

* Snowflake restrictions: No JOINs, subqueries, UDFs, window functions, HAVING, ORDER BY, or LIMIT

** replaceIfExists and ifNotExists are mutually exclusive

columnMaterializedView attributes

Attribute	Type	Description	Required
`name`	String	Column name (must match SELECT output exactly)	Yes
`maskingPolicy`	String	Name of masking policy to apply to this column	No
`maskingPolicyUsing`	String	Additional columns for masking policy context	No
`projectionPolicy`	String	Name of projection policy for column queries	No
`tags`	Map	Column-level metadata tags	No

rowAccessPolicy attributes

Attribute	Type	Description	Required
`policyName`	String	Name of the row access policy	Yes
`on`	String	Column name the policy applies to	Yes

aggregationPolicy attributes

Attribute	Type	Description	Required
`policyName`	String	Name of the aggregation policy	Yes
`entityKey`	String	Column used as the aggregation entity key	Yes

tags attributes

Attribute	Type	Description	Required
`key`	String	Tag name	Yes
`value`	String	Tag value	Yes

contacts attributes

Attribute	Type	Description	Required
`key`	String	Contact purpose: `steward`, `support`, or `approver`	Yes
`value`	String	Contact name	Yes

<?xml version="1.0" encoding="UTF-8"?>
<databaseChangeLog
        xmlns="http://www.liquibase.org/xml/ns/dbchangelog"
        xmlns:pro-snowflake="http://www.liquibase.org/xml/ns/pro-snowflake"
        xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
        xsi:schemaLocation="http://www.liquibase.org/xml/ns/dbchangelog
        http://www.liquibase.org/xml/ns/dbchangelog/dbchangelog-latest.xsd
        http://www.liquibase.org/xml/ns/pro-snowflake
        http://www.liquibase.org/xml/ns/pro-snowflake/liquibase-pro-snowflake-latest.xsd">

    <!-- Basic materialized view -->
    <changeSet id="create-mv-basic" author="examples">
        <pro-snowflake:createMaterializedView
                viewName="MV_SALES_BY_REGION"
                comment="Pre-computed sales aggregation by region"
                selectStatement="SELECT REGION, COUNT(*) AS SALE_COUNT, SUM(SALE_AMOUNT) AS TOTAL_SALES FROM SALES GROUP BY REGION"/>
    </changeSet>

    <!-- With tags -->
    <changeSet id="create-mv-with-tags" author="examples">
        <pro-snowflake:createMaterializedView
                viewName="MV_CUSTOMER_SUMMARY"
                ifNotExists="true"
                selectStatement="SELECT CUSTOMER_ID, COUNT(*) AS ORDER_COUNT FROM ORDERS GROUP BY CUSTOMER_ID">
            <pro-snowflake:tags>
                <pro-snowflake:entry key="environment" value="production"/>
                <pro-snowflake:entry key="department" value="analytics"/>
            </pro-snowflake:tags>
        </pro-snowflake:createMaterializedView>
    </changeSet>

    <!-- With column-level policies -->
    <changeSet id="create-mv-with-columns" author="examples">
        <pro-snowflake:createMaterializedView
                viewName="MV_CUSTOMER_SALES"
                clusterBy="CUSTOMER_ID"
                selectStatement="SELECT CUSTOMER_ID, CUSTOMER_NAME, SUM(AMOUNT) AS TOTAL FROM CUSTOMERS GROUP BY CUSTOMER_ID, CUSTOMER_NAME">
            <pro-snowflake:columnMaterializedView name="CUSTOMER_ID"/>
            <pro-snowflake:columnMaterializedView
                    name="CUSTOMER_NAME"
                    maskingPolicy="CUSTOMER_NAME_MASK">
                <pro-snowflake:tags>
                    <pro-snowflake:entry key="pii" value="yes"/>
                </pro-snowflake:tags>
            </pro-snowflake:columnMaterializedView>
            <pro-snowflake:columnMaterializedView name="TOTAL"/>
        </pro-snowflake:createMaterializedView>
    </changeSet>

    <!-- Complete with all features -->
    <changeSet id="create-mv-comprehensive" author="examples">
        <pro-snowflake:createMaterializedView
                viewName="MV_COMPREHENSIVE_ANALYTICS"
                comment="Comprehensive analytics view with full governance"
                replaceIfExists="true"
                secure="true"
                copyGrants="true"
                clusterBy="REGION, PRODUCT_CATEGORY"
                selectStatement="SELECT REGION, PRODUCT_CATEGORY, COUNT(*) AS TRANSACTION_COUNT, SUM(SALE_AMOUNT) AS TOTAL_REVENUE FROM SALES GROUP BY REGION, PRODUCT_CATEGORY">
            <pro-snowflake:columnMaterializedView name="REGION"/>
            <pro-snowflake:columnMaterializedView name="PRODUCT_CATEGORY"/>
            <pro-snowflake:columnMaterializedView name="TRANSACTION_COUNT"/>
            <pro-snowflake:columnMaterializedView
                    name="TOTAL_REVENUE"
                    maskingPolicy="REVENUE_MASK">
                <pro-snowflake:tags>
                    <pro-snowflake:entry key="pii" value="yes"/>
                </pro-snowflake:tags>
            </pro-snowflake:columnMaterializedView>
            <pro-snowflake:rowAccessPolicy policyName="SALES_ACCESS_POLICY" on="REGION"/>
            <pro-snowflake:tags>
                <pro-snowflake:entry key="environment" value="production"/>
            </pro-snowflake:tags>
            <pro-snowflake:contacts>
                <pro-snowflake:entry key="steward" value="my_data_steward"/>
            </pro-snowflake:contacts>
        </pro-snowflake:createMaterializedView>
    </changeSet>

</databaseChangeLog>

{
  "databaseChangeLog": [
    {
      "changeSet": {
        "id": "create-mv-basic",
        "author": "examples",
        "changes": [
          {
            "createMaterializedView": {
              "viewName": "MV_SALES_BY_REGION",
              "comment": "Pre-computed sales aggregation by region",
              "selectStatement": "SELECT REGION, COUNT(*) AS SALE_COUNT, SUM(SALE_AMOUNT) AS TOTAL_SALES FROM SALES GROUP BY REGION"
            }
          }
        ]
      }
    },
    {
      "changeSet": {
        "id": "create-mv-with-tags",
        "author": "examples",
        "changes": [
          {
            "createMaterializedView": {
              "viewName": "MV_CUSTOMER_SUMMARY",
              "ifNotExists": true,
              "selectStatement": "SELECT CUSTOMER_ID, COUNT(*) AS ORDER_COUNT FROM ORDERS GROUP BY CUSTOMER_ID",
              "tags": {
                "entries": [
                  { "entry": { "key": "environment", "value": "production" } },
                  { "entry": { "key": "department", "value": "analytics" } }
                ]
              }
            }
          }
        ]
      }
    },
    {
      "changeSet": {
        "id": "create-mv-comprehensive",
        "author": "examples",
        "changes": [
          {
            "createMaterializedView": {
              "viewName": "MV_COMPREHENSIVE_ANALYTICS",
              "comment": "Comprehensive analytics with governance",
              "replaceIfExists": true,
              "secure": true,
              "copyGrants": true,
              "clusterBy": "REGION, PRODUCT_CATEGORY",
              "selectStatement": "SELECT REGION, PRODUCT_CATEGORY, COUNT(*) AS TRANSACTION_COUNT, SUM(SALE_AMOUNT) AS TOTAL_REVENUE FROM SALES GROUP BY REGION, PRODUCT_CATEGORY",
              "columns": [
                { "column": { "name": "REGION" } },
                { "column": { "name": "PRODUCT_CATEGORY" } },
                { "column": { "name": "TRANSACTION_COUNT" } },
                {
                  "column": {
                    "name": "TOTAL_REVENUE",
                    "maskingPolicy": "REVENUE_MASK",
                    "tags": {
                      "entries": [
                        { "entry": { "key": "pii", "value": "yes" } }
                      ]
                    }
                  }
                }
              ],
              "rowAccessPolicy": {
                "policyName": "SALES_ACCESS_POLICY",
                "on": "REGION"
              },
              "tags": {
                "entries": [
                  { "entry": { "key": "environment", "value": "production" } }
                ]
              },
              "contacts": {
                "entries": [
                  { "entry": { "key": "steward", "value": "my_data_steward" } }
                ]
              }
            }
          }
        ]
      }
    }
  ]
}

databaseChangeLog:
  # Basic materialized view
  - changeSet:
      id: create-mv-basic
      author: examples
      changes:
        - createMaterializedView:
            viewName: MV_SALES_BY_REGION
            comment: Pre-computed sales aggregation by region
            selectStatement: SELECT REGION, COUNT(*) AS SALE_COUNT, SUM(SALE_AMOUNT) AS TOTAL_SALES FROM SALES GROUP BY REGION

  # With tags
  - changeSet:
      id: create-mv-with-tags
      author: examples
      changes:
        - createMaterializedView:
            viewName: MV_CUSTOMER_SUMMARY
            ifNotExists: true
            selectStatement: SELECT CUSTOMER_ID, COUNT(*) AS ORDER_COUNT FROM ORDERS GROUP BY CUSTOMER_ID
            tags:
              entries:
                - entry:
                    key: environment
                    value: production
                - entry:
                    key: department
                    value: analytics

  # Complete with all features
  - changeSet:
      id: create-mv-comprehensive
      author: examples
      changes:
        - createMaterializedView:
            viewName: MV_COMPREHENSIVE_ANALYTICS
            comment: Comprehensive analytics with governance
            replaceIfExists: true
            secure: true
            copyGrants: true
            clusterBy: REGION, PRODUCT_CATEGORY
            selectStatement: SELECT REGION, PRODUCT_CATEGORY, COUNT(*) AS TRANSACTION_COUNT, SUM(SALE_AMOUNT) AS TOTAL_REVENUE FROM SALES GROUP BY REGION, PRODUCT_CATEGORY
            columns:
              - column:
                  name: REGION
              - column:
                  name: PRODUCT_CATEGORY
              - column:
                  name: TRANSACTION_COUNT
              - column:
                  name: TOTAL_REVENUE
                  maskingPolicy: REVENUE_MASK
                  tags:
                    entries:
                      - entry:
                          key: pii
                          value: "yes"
            rowAccessPolicy:
              policyName: SALES_ACCESS_POLICY
              on: REGION
            tags:
              entries:
                - entry:
                    key: environment
                    value: production
            contacts:
              entries:
                - entry:
                    key: steward
                    value: my_data_steward

--liquibase formatted sql

--changeset examples:basic-materialized-view
-- Basic materialized view
CREATE MATERIALIZED VIEW PUBLIC.MV_SALES_BY_REGION
    COMMENT = 'Pre-computed sales aggregation by region'
    AS SELECT REGION, COUNT(*) AS SALE_COUNT, SUM(SALE_AMOUNT) AS TOTAL_SALES FROM SALES GROUP BY REGION;

--changeset examples:with-tags
-- With tags
CREATE MATERIALIZED VIEW IF NOT EXISTS PUBLIC.MV_CUSTOMER_SUMMARY
    WITH TAG (environment = 'production', department = 'analytics')
    AS SELECT CUSTOMER_ID, COUNT(*) AS ORDER_COUNT FROM ORDERS GROUP BY CUSTOMER_ID;

--changeset examples:with-column-level-policies
-- With column-level policies
CREATE MATERIALIZED VIEW PUBLIC.MV_CUSTOMER_SALES
    (CUSTOMER_ID, CUSTOMER_NAME WITH MASKING POLICY CUSTOMER_NAME_MASK WITH TAG (pii = 'yes'), TOTAL)
    CLUSTER BY (CUSTOMER_ID)
    AS SELECT CUSTOMER_ID, CUSTOMER_NAME, SUM(AMOUNT) AS TOTAL FROM CUSTOMERS GROUP BY CUSTOMER_ID, CUSTOMER_NAME;

--changeset examples:complete-with-all-features
-- Complete with all features
CREATE OR REPLACE SECURE MATERIALIZED VIEW PUBLIC.MV_COMPREHENSIVE_ANALYTICS
    COPY GRANTS
    (REGION, PRODUCT_CATEGORY, TRANSACTION_COUNT, TOTAL_REVENUE WITH MASKING POLICY REVENUE_MASK WITH TAG (pii = 'yes'))
    WITH TAG (environment = 'production')
    WITH CONTACT (STEWARD = my_data_steward)
    WITH ROW ACCESS POLICY SALES_ACCESS_POLICY ON (REGION)
    CLUSTER BY (REGION, PRODUCT_CATEGORY)
    COMMENT = 'Comprehensive analytics with governance'
    AS SELECT REGION, PRODUCT_CATEGORY, COUNT(*) AS TRANSACTION_COUNT, SUM(SALE_AMOUNT) AS TOTAL_REVENUE FROM SALES GROUP BY REGION, PRODUCT_CATEGORY;

<?xml version="1.0" encoding="UTF-8"?>
<databaseChangeLog
        xmlns="http://www.liquibase.org/xml/ns/dbchangelog"
        xmlns:pro-snowflake="http://www.liquibase.org/xml/ns/pro-snowflake"
        xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
        xsi:schemaLocation="http://www.liquibase.org/xml/ns/dbchangelog
        http://www.liquibase.org/xml/ns/dbchangelog/dbchangelog-latest.xsd
        http://www.liquibase.org/xml/ns/pro-snowflake
        http://www.liquibase.org/xml/ns/pro-snowflake/liquibase-pro-snowflake-latest.xsd">

    <!-- Basic materialized view -->
    <changeSet id="create-mv-basic" author="examples">
        <pro-snowflake:createMaterializedView
                viewName="MV_SALES_BY_REGION"
                comment="Pre-computed sales aggregation by region"
                selectStatement="SELECT REGION, COUNT(*) AS SALE_COUNT, SUM(SALE_AMOUNT) AS TOTAL_SALES FROM SALES GROUP BY REGION"/>
    </changeSet>

    <!-- With tags -->
    <changeSet id="create-mv-with-tags" author="examples">
        <pro-snowflake:createMaterializedView
                viewName="MV_CUSTOMER_SUMMARY"
                ifNotExists="true"
                selectStatement="SELECT CUSTOMER_ID, COUNT(*) AS ORDER_COUNT FROM ORDERS GROUP BY CUSTOMER_ID">
            <pro-snowflake:tags>
                <pro-snowflake:entry key="environment" value="production"/>
                <pro-snowflake:entry key="department" value="analytics"/>
            </pro-snowflake:tags>
        </pro-snowflake:createMaterializedView>
    </changeSet>

    <!-- With column-level policies -->
    <changeSet id="create-mv-with-columns" author="examples">
        <pro-snowflake:createMaterializedView
                viewName="MV_CUSTOMER_SALES"
                clusterBy="CUSTOMER_ID"
                selectStatement="SELECT CUSTOMER_ID, CUSTOMER_NAME, SUM(AMOUNT) AS TOTAL FROM CUSTOMERS GROUP BY CUSTOMER_ID, CUSTOMER_NAME">
            <pro-snowflake:columnMaterializedView name="CUSTOMER_ID"/>
            <pro-snowflake:columnMaterializedView
                    name="CUSTOMER_NAME"
                    maskingPolicy="CUSTOMER_NAME_MASK">
                <pro-snowflake:tags>
                    <pro-snowflake:entry key="pii" value="yes"/>
                </pro-snowflake:tags>
            </pro-snowflake:columnMaterializedView>
            <pro-snowflake:columnMaterializedView name="TOTAL"/>
        </pro-snowflake:createMaterializedView>
    </changeSet>

    <!-- Complete with all features -->
    <changeSet id="create-mv-comprehensive" author="examples">
        <pro-snowflake:createMaterializedView
                viewName="MV_COMPREHENSIVE_ANALYTICS"
                comment="Comprehensive analytics view with full governance"
                replaceIfExists="true"
                secure="true"
                copyGrants="true"
                clusterBy="REGION, PRODUCT_CATEGORY"
                selectStatement="SELECT REGION, PRODUCT_CATEGORY, COUNT(*) AS TRANSACTION_COUNT, SUM(SALE_AMOUNT) AS TOTAL_REVENUE FROM SALES GROUP BY REGION, PRODUCT_CATEGORY">
            <pro-snowflake:columnMaterializedView name="REGION"/>
            <pro-snowflake:columnMaterializedView name="PRODUCT_CATEGORY"/>
            <pro-snowflake:columnMaterializedView name="TRANSACTION_COUNT"/>
            <pro-snowflake:columnMaterializedView
                    name="TOTAL_REVENUE"
                    maskingPolicy="REVENUE_MASK">
                <pro-snowflake:tags>
                    <pro-snowflake:entry key="pii" value="yes"/>
                </pro-snowflake:tags>
            </pro-snowflake:columnMaterializedView>
            <pro-snowflake:rowAccessPolicy policyName="SALES_ACCESS_POLICY" on="REGION"/>
            <pro-snowflake:tags>
                <pro-snowflake:entry key="environment" value="production"/>
            </pro-snowflake:tags>
            <pro-snowflake:contacts>
                <pro-snowflake:entry key="steward" value="my_data_steward"/>
            </pro-snowflake:contacts>
        </pro-snowflake:createMaterializedView>
    </changeSet>

</databaseChangeLog>

{
  "databaseChangeLog": [
    {
      "changeSet": {
        "id": "create-mv-basic",
        "author": "examples",
        "changes": [
          {
            "createMaterializedView": {
              "viewName": "MV_SALES_BY_REGION",
              "comment": "Pre-computed sales aggregation by region",
              "selectStatement": "SELECT REGION, COUNT(*) AS SALE_COUNT, SUM(SALE_AMOUNT) AS TOTAL_SALES FROM SALES GROUP BY REGION"
            }
          }
        ]
      }
    },
    {
      "changeSet": {
        "id": "create-mv-with-tags",
        "author": "examples",
        "changes": [
          {
            "createMaterializedView": {
              "viewName": "MV_CUSTOMER_SUMMARY",
              "ifNotExists": true,
              "selectStatement": "SELECT CUSTOMER_ID, COUNT(*) AS ORDER_COUNT FROM ORDERS GROUP BY CUSTOMER_ID",
              "tags": {
                "entries": [
                  { "entry": { "key": "environment", "value": "production" } },
                  { "entry": { "key": "department", "value": "analytics" } }
                ]
              }
            }
          }
        ]
      }
    },
    {
      "changeSet": {
        "id": "create-mv-comprehensive",
        "author": "examples",
        "changes": [
          {
            "createMaterializedView": {
              "viewName": "MV_COMPREHENSIVE_ANALYTICS",
              "comment": "Comprehensive analytics with governance",
              "replaceIfExists": true,
              "secure": true,
              "copyGrants": true,
              "clusterBy": "REGION, PRODUCT_CATEGORY",
              "selectStatement": "SELECT REGION, PRODUCT_CATEGORY, COUNT(*) AS TRANSACTION_COUNT, SUM(SALE_AMOUNT) AS TOTAL_REVENUE FROM SALES GROUP BY REGION, PRODUCT_CATEGORY",
              "columns": [
                { "column": { "name": "REGION" } },
                { "column": { "name": "PRODUCT_CATEGORY" } },
                { "column": { "name": "TRANSACTION_COUNT" } },
                {
                  "column": {
                    "name": "TOTAL_REVENUE",
                    "maskingPolicy": "REVENUE_MASK",
                    "tags": {
                      "entries": [
                        { "entry": { "key": "pii", "value": "yes" } }
                      ]
                    }
                  }
                }
              ],
              "rowAccessPolicy": {
                "policyName": "SALES_ACCESS_POLICY",
                "on": "REGION"
              },
              "tags": {
                "entries": [
                  { "entry": { "key": "environment", "value": "production" } }
                ]
              },
              "contacts": {
                "entries": [
                  { "entry": { "key": "steward", "value": "my_data_steward" } }
                ]
              }
            }
          }
        ]
      }
    }
  ]
}

databaseChangeLog:
  # Basic materialized view
  - changeSet:
      id: create-mv-basic
      author: examples
      changes:
        - createMaterializedView:
            viewName: MV_SALES_BY_REGION
            comment: Pre-computed sales aggregation by region
            selectStatement: SELECT REGION, COUNT(*) AS SALE_COUNT, SUM(SALE_AMOUNT) AS TOTAL_SALES FROM SALES GROUP BY REGION

  # With tags
  - changeSet:
      id: create-mv-with-tags
      author: examples
      changes:
        - createMaterializedView:
            viewName: MV_CUSTOMER_SUMMARY
            ifNotExists: true
            selectStatement: SELECT CUSTOMER_ID, COUNT(*) AS ORDER_COUNT FROM ORDERS GROUP BY CUSTOMER_ID
            tags:
              entries:
                - entry:
                    key: environment
                    value: production
                - entry:
                    key: department
                    value: analytics

  # Complete with all features
  - changeSet:
      id: create-mv-comprehensive
      author: examples
      changes:
        - createMaterializedView:
            viewName: MV_COMPREHENSIVE_ANALYTICS
            comment: Comprehensive analytics with governance
            replaceIfExists: true
            secure: true
            copyGrants: true
            clusterBy: REGION, PRODUCT_CATEGORY
            selectStatement: SELECT REGION, PRODUCT_CATEGORY, COUNT(*) AS TRANSACTION_COUNT, SUM(SALE_AMOUNT) AS TOTAL_REVENUE FROM SALES GROUP BY REGION, PRODUCT_CATEGORY
            columns:
              - column:
                  name: REGION
              - column:
                  name: PRODUCT_CATEGORY
              - column:
                  name: TRANSACTION_COUNT
              - column:
                  name: TOTAL_REVENUE
                  maskingPolicy: REVENUE_MASK
                  tags:
                    entries:
                      - entry:
                          key: pii
                          value: "yes"
            rowAccessPolicy:
              policyName: SALES_ACCESS_POLICY
              on: REGION
            tags:
              entries:
                - entry:
                    key: environment
                    value: production
            contacts:
              entries:
                - entry:
                    key: steward
                    value: my_data_steward

--liquibase formatted sql

--changeset examples:basic-materialized-view
-- Basic materialized view
CREATE MATERIALIZED VIEW PUBLIC.MV_SALES_BY_REGION
    COMMENT = 'Pre-computed sales aggregation by region'
    AS SELECT REGION, COUNT(*) AS SALE_COUNT, SUM(SALE_AMOUNT) AS TOTAL_SALES FROM SALES GROUP BY REGION;

--changeset examples:with-tags
-- With tags
CREATE MATERIALIZED VIEW IF NOT EXISTS PUBLIC.MV_CUSTOMER_SUMMARY
    WITH TAG (environment = 'production', department = 'analytics')
    AS SELECT CUSTOMER_ID, COUNT(*) AS ORDER_COUNT FROM ORDERS GROUP BY CUSTOMER_ID;

--changeset examples:with-column-level-policies
-- With column-level policies
CREATE MATERIALIZED VIEW PUBLIC.MV_CUSTOMER_SALES
    (CUSTOMER_ID, CUSTOMER_NAME WITH MASKING POLICY CUSTOMER_NAME_MASK WITH TAG (pii = 'yes'), TOTAL)
    CLUSTER BY (CUSTOMER_ID)
    AS SELECT CUSTOMER_ID, CUSTOMER_NAME, SUM(AMOUNT) AS TOTAL FROM CUSTOMERS GROUP BY CUSTOMER_ID, CUSTOMER_NAME;

--changeset examples:complete-with-all-features
-- Complete with all features
CREATE OR REPLACE SECURE MATERIALIZED VIEW PUBLIC.MV_COMPREHENSIVE_ANALYTICS
    COPY GRANTS
    (REGION, PRODUCT_CATEGORY, TRANSACTION_COUNT, TOTAL_REVENUE WITH MASKING POLICY REVENUE_MASK WITH TAG (pii = 'yes'))
    WITH TAG (environment = 'production')
    WITH CONTACT (STEWARD = my_data_steward)
    WITH ROW ACCESS POLICY SALES_ACCESS_POLICY ON (REGION)
    CLUSTER BY (REGION, PRODUCT_CATEGORY)
    COMMENT = 'Comprehensive analytics with governance'
    AS SELECT REGION, PRODUCT_CATEGORY, COUNT(*) AS TRANSACTION_COUNT, SUM(SALE_AMOUNT) AS TOTAL_REVENUE FROM SALES GROUP BY REGION, PRODUCT_CATEGORY;