Table, View, & Sequence DDL


Creates a new materialized view in the current/specified schema, based on a query of an existing table, and populates the view with data.

For more details, see Working with Materialized Views.

See also:



  ( <column_list> )
  [ <col1> [ WITH ] MASKING POLICY <policy_name>
           [ WITH ] TAG ( <tag_key> = 'tag_value' [ , <tag_key> = 'tag_value' , ... ] ) ]
  [ , <col2> [ ... ] ]
  [ [ WITH ] ROW ACCESS POLICY <policy_name> ON ( <col_name> [ , <col_name> ... ] ) ]
  [ WITH ] TAG ( <tag_key> = 'tag_value' [ , <tag_key> = 'tag_value' , ... ] ) ]
  [ COMMENT = '<string_literal>' ]
  [ CLUSTER BY ( <expr1> [, <expr2> ... ] ) ]
  AS <select_statement>

Required Parameters


Specifies the identifier for the view; must be unique for the schema in which the view is created.

In addition, the identifier must start with an alphabetic character and cannot contain spaces or special characters unless the entire identifier string is enclosed in double quotes (e.g. "My object"). Identifiers enclosed in double quotes are also case-sensitive.

For more details, see Identifier Requirements.


Specifies the query used to create the view. This query serves as the text/definition for the view. This query is displayed in the output of SHOW VIEWS and SHOW MATERIALIZED VIEWS.

There are limitations on the select_statement. For details, see:

Optional Parameters


If you do not want the column names in the view to be the same as the column names of the underlying table, you may include a column list in which you specify the column names. (You do not need to specify the data types of the columns.)

If you include a CLUSTER BY clause for the materialized view, then you must include the column name list.

MASKING POLICY = policy_name

Specifies the masking policy to set on a column.

ROW ACCESS POLICY policy_name ON ( col_name [ , col_name ... ] )

Specifies the row access policy to set on the materialized view.

TAG ( tag_key = 'tag_value' [ , tag_key = 'tag_value' , ... ] ) ]

Specifies the tag name (i.e. the key) and the tag value.

The tag value is always a string and the maximum number of characters for the tag value is 256. The maximum number of tags that can be set on an object is 20.


Specifies a comment for the view. The string literal should be in single quotes. (The string literal should not contain single quotes unless they are escaped.)

Default: No value.


Specifies an expression on which to cluster the materialized view. Typically, each expression is the name of a column in the materialized view.

For more information about clustering materialized views, see: Materialized Views and Clustering. For more information about clustering in general, see: What is Data Clustering?.


Specifies that the view is secure. For more information about secure views, see Working with Secure Views.

Default: No value (view is not secure)


If you are replacing an existing view by using the OR REPLACE clause, then the replacement view retains the access permissions from the original view. This parameter copies all privileges, except OWNERSHIP, from the existing view to the new view. The new view does not inherit any future grants defined for the object type in the schema. By default, the role that executes the CREATE MATERIALIZED VIEW statement owns the new view.

If the parameter is not included in the CREATE VIEW statement, then the new view does not inherit any explicit access privileges granted on the original view but does inherit any future grants defined for the object type in the schema.

Note that the operation to copy grants occurs atomically with the CREATE VIEW statement (i.e. within the same transaction).

Default: No value (grants are not copied).

Usage Notes

  • Creating a materialized view requires CREATE MATERIALIZED VIEW privilege on the schema, and SELECT privilege on the base table. For more information about privileges and materialized views, see Privileges on a Materialized View’s Schema.

  • When you choose a name for the materialized view, note that a schema cannot contain a table and view with the same name. CREATE [ MATERIALIZED ] VIEW produces an error if a table with the same name already exists in the schema.

  • When specifying the select_statement, note the following:

    • You cannot specify a HAVING clause or an ORDER BY clause.

    • If you include a CLUSTER BY clause for the materialized view, you must include the column_list clause.

    • If you refer to the base table more than once in the select_statement, use the same qualifier for all references for the base table.

      For example, don’t use a mix of base_table, schema.base_table, and database.schema.base_table in the same select_statement. Instead, choose one of these forms (e.g. database.schema.base_table), and use this consistently throughout the select_statement.

  • Materialized views have a number of other restrictions. For details, see Limitations on Creating Materialized Views and Limitations on Working With Materialized Views.

  • View definitions are not updated if the schema of the underlying source table is changed so that the view definition becomes invalid. For example:

    • A view is created referencing a specific column in a source table and the column is subsequently dropped from the table.

    • A view is created using SELECT * from a table and any column is subsequently dropped from the table.

    In either of these scenarios, querying the view returns an error.

  • If a source table for a materialized view is dropped, querying the view returns the following error: Materialized View <view_name> is invalid.

  • Using OR REPLACE is the equivalent of using DROP MATERIALIZED VIEW on the existing materialized view and then creating a new view with the same name. The drop and create actions occur in a single atomic operation. This means that any queries concurrent with the CREATE OR REPLACE MATERIALIZED VIEW operation use either the old or new materialized view version.


Create a materialized view in the current schema, with a comment, that selects all the rows from a table:

    COMMENT='Test view'
    SELECT col1, col2 FROM mytable;

For more examples, see the examples in Working with Materialized Views.