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CREATE MATERIALIZED VIEW

CREATE MATERIALIZED VIEW defines a view that is persisted in durable storage and incrementally updated as new data arrives.

A materialized view specifies a cluster that is tasked with keeping its results up-to-date, but can be referenced in any cluster. This allows you to effectively decouple the computational resources used for view maintenance from the resources used for query serving.

Syntax

CREATE MATERIALIZED VIEW IF NOT EXISTS OR REPLACE MATERIALIZED VIEW view_name ( col_ident , ) IN CLUSTER cluster_name AS select_stmt
Field Use
OR REPLACE If a materialized view exists with the same name, replace it with the view defined in this statement. You cannot replace views that other views or sinks depend on, nor can you replace a non-view object with a view.
IF NOT EXISTS If specified, do not generate an error if a materialized view of the same name already exists.

If not specified, throw an error if a view of the same name already exists. (Default)
view_name A name for the materialized view.
( col_ident… ) Rename the SELECT statement’s columns to the list of identifiers, both of which must be the same length. Note that this is required for statements that return multiple columns with the same identifier.
cluster_name The cluster to maintain this materialized view. If not specified, defaults to the active cluster.
select_stmt The SELECT statement whose results you want to maintain incrementally updated.

Details

Usage patterns

Maintaining a materialized view in durable storage has resource and latency costs that should be carefully considered depending on the main usage of the view. It’s a good idea to create a materialized view if:

  • The results need to be available across clusters;
  • View maintenance and query serving would benefit from being scaled independently;
  • The final consumer of the view is a sink or a SUBSCRIBE operation.

On the other hand, if you only need to access a view from a single cluster, you should consider creating a non-materialized view and building an index on it instead. The index will incrementally maintain the results of the view updated in memory within that cluster, allowing you to avoid the costs and latency overhead of materialization.

Indexes

Although you can query a materialized view directly, these queries will be issued against Materialize’s storage layer. This is expected to be fast, but still slower than reading from memory. To improve the speed of queries on materialized views, we recommend creating indexes based on common query patterns.

It’s important to keep in mind that indexes are local to a cluster, and maintained in memory. As an example, if you create a materialized view and build an index on it in the default cluster, querying the view from a different cluster will not use the index; you should create the appropriate indexes in each cluster you are referencing the materialized view in.

Examples

Creating a materialized view

CREATE MATERIALIZED VIEW winning_bids AS
SELECT auction_id,
       bid_id,
       item,
       amount
FROM highest_bid_per_auction
WHERE end_time < mz_now();
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