A view is a stored and named selection query. By default, CockroachDB's views are dematerialized: they do not store the results of the underlying queries. Instead, the underlying query is executed anew every time the view is used.
New in v20.2: CockroachDB also supports materialized views. Materialized views are views that store their selection query results.
New in v20.2: By default, views created in a database cannot reference objects in a different database. To enable cross-database references for views, set the sql.cross_db_views.enabled cluster setting to true.
Why use views?
There are various reasons to use views, including:
Hide query complexity
When you have a complex query that, for example, joins several tables, or performs complex calculations, you can store the query as a view and then select from the view as you would from a standard table.
Example
Let's say you're using our sample startrek database, which contains two tables, episodes and quotes.
> USE startrek;
There's a foreign key constraint between the episodes.id column and the quotes.episode column. To count the number of famous quotes per season, you could run the following join:
> SELECT episodes.season, count(*)
FROM quotes
JOIN episodes
ON quotes.episode = episodes.id
GROUP BY episodes.season;
season | count
---------+--------
1 | 78
2 | 76
3 | 46
(3 rows)
Alternatively, to make it much easier to run this complex query, you could create a view:
> CREATE VIEW quotes_per_season (season, quotes)
AS SELECT episodes.season, count(*)
FROM quotes
JOIN episodes
ON quotes.episode = episodes.id
GROUP BY episodes.season
ORDER BY episodes.season;
Then, executing the query is as easy as SELECTing from the view:
> SELECT * FROM quotes_per_season;
season | quotes
---------+---------
1 | 78
2 | 76
3 | 46
(3 rows)
Limit access to underlying data
When you do not want to grant a user access to all the data in one or more standard tables, you can create a view that contains only the columns and/or rows that the user should have access to and then grant the user permissions on the view.
Example
Let's say you have a bank database containing an accounts table:
> USE bank;
> SELECT * FROM accounts;
id | type | balance | email
-----+----------+---------+------------------
1 | checking | 1000 | [email protected]
2 | savings | 10000 | [email protected]
3 | checking | 15000 | [email protected]
4 | checking | 5000 | [email protected]
5 | savings | 50000 | [email protected]
(5 rows)
You want a particular user, bob, to be able to see the types of accounts each user has without seeing the balance in each account, so you create a view to expose just the type and email columns:
> CREATE VIEW user_accounts
AS SELECT type, email
FROM accounts;
You then make sure bob does not have privileges on the underlying accounts table:
> SHOW GRANTS ON accounts;
database_name | schema_name | table_name | grantee | privilege_type
----------------+-------------+------------+---------+-----------------
bank | public | accounts | admin | ALL
bank | public | accounts | root | ALL
(2 rows)
Finally, you grant bob privileges on the user_accounts view:
> GRANT SELECT ON user_accounts TO bob;
Now, bob will get a permissions error when trying to access the underlying accounts table but will be allowed to query the user_accounts view:
> SELECT * FROM accounts;
pq: user bob does not have SELECT privilege on table accounts
> SELECT * FROM user_accounts;
type | email
-----------+------------------
checking | [email protected]
savings | [email protected]
checking | [email protected]
checking | [email protected]
savings | [email protected]
(5 rows)
How views work
Creating views
To create a view, use the CREATE VIEW statement:
> CREATE VIEW quotes_per_season (season, quotes)
AS SELECT episodes.season, count(*)
FROM quotes
JOIN episodes
ON quotes.episode = episodes.id
GROUP BY episodes.season
ORDER BY episodes.season;
Any selection query is valid as operand to CREATE VIEW, not just simple SELECT clauses.
Listing views
Once created, views are listed alongside regular tables in the database:
> SHOW TABLES FROM startrek;
schema_name | table_name | type | estimated_row_count
--------------+-------------------+-------+----------------------
public | episodes | table | 79
public | quotes | table | 200
public | quotes_per_season | view | 0
(3 rows)
To list just views, you can query the views table in the Information Schema:
> SELECT * FROM information_schema.views;
table_catalog | table_schema | table_name | view_definition | check_option | is_updatable | is_insertable_into | is_trigger_updatable | is_trigger_deletable | is_trigger_insertable_into
----------------+--------------+-------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+--------------+--------------+--------------------+----------------------+----------------------+-----------------------------
startrek | public | quotes_per_season | SELECT episodes.season, count(*) FROM startrek.public.quotes JOIN startrek.public.episodes ON quotes.episode = episodes.id GROUP BY episodes.season ORDER BY episodes.season | NULL | NO | NO | NO | NO | NO
(1 row)
Querying views
To query a view, target it with a table expression, for example using a SELECT clause, just as you would with a stored table:
> SELECT * FROM quotes_per_season;
season | quotes
---------+---------
1 | 78
2 | 76
3 | 46
(3 rows)
SELECTing a view executes the view's stored SELECT statement, which returns the relevant data from the underlying table(s). To inspect the SELECT statement executed by the view, use the SHOW CREATE statement:
> SHOW CREATE quotes_per_season;
table_name | create_statement
--------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
quotes_per_season | CREATE VIEW public.quotes_per_season (season, quotes) AS SELECT episodes.season, count(*) FROM startrek.public.quotes JOIN startrek.public.episodes ON quotes.episode = episodes.id GROUP BY episodes.season ORDER BY episodes.season
(1 row)
You can also inspect the SELECT statement executed by a view by querying the views table in the Information Schema:
> SELECT view_definition FROM information_schema.views WHERE table_name = 'quotes_per_season';
view_definition
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
SELECT episodes.season, count(*) FROM startrek.public.quotes JOIN startrek.public.episodes ON quotes.episode = episodes.id GROUP BY episodes.season ORDER BY episodes.season
(1 row)
View dependencies
A view depends on the objects targeted by its underlying query. Attempting to rename an object referenced in a view's stored query therefore results in an error:
> ALTER TABLE quotes RENAME TO sayings;
ERROR: cannot rename relation "startrek.public.quotes" because view "quotes_per_season" depends on it
SQLSTATE: 2BP01
HINT: you can drop quotes_per_season instead.
Likewise, attempting to drop an object referenced in a view's stored query results in an error:
> DROP TABLE quotes;
ERROR: cannot drop relation "quotes" because view "quotes_per_season" depends on it
SQLSTATE: 2BP01
HINT: you can drop quotes_per_season instead.
> ALTER TABLE episodes DROP COLUMN season;
ERROR: cannot drop column "season" because view "quotes_per_season" depends on it
SQLSTATE: 2BP01
HINT: you can drop quotes_per_season instead.
New in v20.2: You can drop or rename columns from a table on which a view is dependent, as long as the view does not depend on that column of the table. For example, because there is no view that depends on the num column of the episodes table, you can rename it to number:
> ALTER TABLE startrek.episodes RENAME COLUMN num TO number;
Similarly, because no view depends on the title column of the episodes table, you can drop it. Note that to drop a column with data in it, you must first set sql_safe_updates = false.
> SET sql_safe_updates = false;
> ALTER TABLE startrek.episodes DROP COLUMN title;
> SHOW COLUMNS FROM startrek.episodes;
column_name | data_type | is_nullable | column_default | generation_expression | indices | is_hidden
--------------+-----------+-------------+----------------+-----------------------+-----------+------------
id | INT8 | false | NULL | | {primary} | false
season | INT8 | true | NULL | | {} | false
number | INT8 | true | NULL | | {} | false
stardate | DECIMAL | true | NULL | | {} | false
(4 rows)
When dropping a table or dropping a view, you can use the CASCADE keyword to drop all dependent objects as well:
> DROP TABLE quotes CASCADE;
DROP TABLE
CASCADE drops all dependent objects without listing them, which can lead to inadvertent and difficult-to-recover losses. To avoid potential harm, we recommend dropping objects individually in most cases.
Renaming views
To rename a view, use the ALTER VIEW statement:
> ALTER VIEW quotes_per_season RENAME TO quotes_count;
RENAME VIEW
It is not possible to change the stored query executed by the view. Instead, you must drop the existing view and create a new view.
Replacing views
New in v20.2: To replace a view, use CREATE OR REPLACE VIEW:
> CREATE OR REPLACE VIEW quotes_count (season, quotes, stardate)
AS SELECT episodes.season, count(*), episodes.stardate
FROM quotes
JOIN episodes
ON quotes.episode = episodes.id
GROUP BY episodes.season, episodes.stardate;
> SELECT * FROM quotes_count LIMIT 10;
season | quotes | stardate
---------+--------+-----------
1 | 5 | 1709.2
1 | 7 | 2821.5
1 | 2 | 3113.2
1 | 6 | 3134
1 | 3 | 2715.1
1 | 7 | 3012.4
1 | 2 | 3196.1
2 | 4 | 3468.1
2 | 1 | 3541.9
2 | 5 | 4211.4
(10 rows)
Removing views
To remove a view, use the DROP VIEW statement:
> DROP VIEW quotes_count;
DROP VIEW
Materialized views
New in v20.2: CockroachDB supports materialized views. Materialized views are views that store the results of their underlying queries.
When you select from a materialized view, the stored query data that is returned might be out-of-date. This contrasts with a standard (i.e., "dematerialized") view, which runs its underlying query every time it is used, returning the latest results. In order to get the latest results from a materialized view, you must refresh the view, and then select from it.
Because materialized views store query results, they offer better performance than standard views, at the expense of the additional storage required to store query results and the guarantee that the results are up-to-date.
Usage
Materialized views and standard views share similar syntax for creating, showing, renaming, and dropping.
To create a materialized view, use a CREATE MATERIALIZED VIEW statement.
For example, suppose that you have the sample bank database loaded to a CockroachDB cluster, and populated with some workload values:
> CREATE MATERIALIZED VIEW overdrawn_accounts
AS SELECT id, balance
FROM bank
WHERE balance < 0;
> SELECT * FROM overdrawn_accounts;
id | balance
------+----------
1 | -17643
3 | -5928
13 | -3700
...
(402 rows)
To show existing materialized views, use a SHOW TABLES statement:
> SHOW TABLES;
schema_name | table_name | type | estimated_row_count
--------------+--------------------+-------------------+----------------------
public | bank | table | 1000
public | overdrawn_accounts | materialized view | 0
(2 rows)
Now suppose you update the balance values of the bank table:
> UPDATE bank SET balance = 0 WHERE balance < 0;
UPDATE 402
The changes can be seen in the table with a simple SELECT statement against the table:
> SELECT id, balance
FROM bank
WHERE balance < 0;
id | balance
-----+----------
(0 rows)
Recall that materialized views do not automatically update their stored results. Selecting from overdrawn_accounts returns stored results, which are outdated:
> SELECT * FROM overdrawn_accounts;
id | balance
------+----------
1 | -17643
3 | -5928
13 | -3700
...
(402 rows)
To update the materialized view's results, use a REFRESH statement:
> REFRESH MATERIALIZED VIEW overdrawn_accounts;
> SELECT * FROM overdrawn_accounts;
id | balance
-----+----------
(0 rows)
To rename the materialized view, use ALTER MATERIALIZED VIEW:
> ALTER MATERIALIZED VIEW overdrawn_accounts RENAME TO forgiven_accounts;
RENAME VIEW
To remove the materialized view, use DROP MATERIALIZED VIEW:
> DROP MATERIALIZED VIEW forgiven_accounts;
DROP VIEW
Temporary views
CockroachDB supports session-scoped temporary views. Unlike persistent views, temporary views can only be accessed from the session in which they were created, and they are dropped at the end of the session. You can create temporary views on both persistent tables and temporary tables.
This is an experimental feature. The interface and output are subject to change. For details, see the tracking issue cockroachdb/cockroach#46260.
Temporary tables must be enabled in order to use temporary views. By default, temporary tables are disabled in CockroachDB. To enable temporary tables, set the experimental_enable_temp_tables session variable to on.
Details
- Temporary views are automatically dropped at the end of the session.
- A temporary view can only be accessed from the session in which it was created.
- Temporary views persist across transactions in the same session.
- Temporary views cannot be converted to persistent views.
- Temporary views can be created on both persistent tables and temporary tables.
- When you create a view on a temporary table, the view automatically becomes temporary.
Like temporary tables, temporary views are not in the public schema. Instead, when you create the first temporary table, view, or sequence for a session, CockroachDB generates a single temporary schema (pg_temp_<id>) for all of the temporary objects in the current session for a database.
Usage
To create a temporary view, add TEMP/TEMPORARY to a CREATE VIEW statement.
For example:
> CREATE TEMP VIEW temp_view (season, quotes)
AS SELECT episodes.season, count(*)
FROM quotes
JOIN episodes
ON quotes.episode = episodes.id
GROUP BY episodes.season;
> SELECT * FROM temp_view;
season | quotes
---------+---------
1 | 78
2 | 76
3 | 46
(3 rows)
See also
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