cagg_ddl.out

-- This file and its contents are licensed under the Timescale License.
-- Please see the included NOTICE for copyright information and
-- LICENSE-TIMESCALE for a copy of the license.
\set IS_DISTRIBUTED FALSE
\ir include/cagg_ddl_common.sql
-- This file and its contents are licensed under the Timescale License.
-- Please see the included NOTICE for copyright information and
-- LICENSE-TIMESCALE for a copy of the license.
-- Set this variable to avoid using a hard-coded path each time query
-- results are compared
\set QUERY_RESULT_TEST_EQUAL_RELPATH '../../../../test/sql/include/query_result_test_equal.sql'
\if :IS_DISTRIBUTED
\echo 'Running distributed hypertable tests'
\else
\echo 'Running local hypertable tests'
Running local hypertable tests
\endif
SET ROLE :ROLE_DEFAULT_PERM_USER;
--DDL commands on continuous aggregates
CREATE TABLE conditions (
      timec        TIMESTAMPTZ       NOT NULL,
      location    TEXT              NOT NULL,
      temperature integer  NULL,
      humidity    DOUBLE PRECISION  NULL,
      timemeasure TIMESTAMPTZ,
      timeinterval INTERVAL
);
\if :IS_DISTRIBUTED
SELECT table_name FROM create_distributed_hypertable('conditions', 'timec', replication_factor => 2);
\else
SELECT table_name FROM create_hypertable('conditions', 'timec');
 table_name 
------------
 conditions
(1 row)

\endif
-- schema tests
\c :TEST_DBNAME :ROLE_CLUSTER_SUPERUSER
CREATE TABLESPACE tablespace1 OWNER :ROLE_DEFAULT_PERM_USER LOCATION :TEST_TABLESPACE1_PATH;
CREATE TABLESPACE tablespace2 OWNER :ROLE_DEFAULT_PERM_USER LOCATION :TEST_TABLESPACE2_PATH;
CREATE SCHEMA rename_schema;
GRANT ALL ON SCHEMA rename_schema TO :ROLE_DEFAULT_PERM_USER;
SET ROLE :ROLE_DEFAULT_PERM_USER;
CREATE TABLE foo(time TIMESTAMPTZ NOT NULL, data INTEGER);
\if :IS_DISTRIBUTED
SELECT create_distributed_hypertable('foo', 'time', replication_factor => 2);
\else
SELECT create_hypertable('foo', 'time');
 create_hypertable 
-------------------
 (2,public,foo,t)
(1 row)

\endif
CREATE MATERIALIZED VIEW rename_test
  WITH ( timescaledb.continuous, timescaledb.materialized_only=true)
AS SELECT time_bucket('1week', time), COUNT(data)
    FROM foo
    GROUP BY 1 WITH NO DATA;
SELECT user_view_schema, user_view_name, partial_view_schema, partial_view_name
      FROM _timescaledb_catalog.continuous_agg;
 user_view_schema | user_view_name |  partial_view_schema  | partial_view_name 
------------------+----------------+-----------------------+-------------------
 public           | rename_test    | _timescaledb_internal | _partial_view_3
(1 row)

ALTER MATERIALIZED VIEW rename_test SET SCHEMA rename_schema;
SELECT user_view_schema, user_view_name, partial_view_schema, partial_view_name
      FROM _timescaledb_catalog.continuous_agg;
 user_view_schema | user_view_name |  partial_view_schema  | partial_view_name 
------------------+----------------+-----------------------+-------------------
 rename_schema    | rename_test    | _timescaledb_internal | _partial_view_3
(1 row)

SELECT ca.raw_hypertable_id as "RAW_HYPERTABLE_ID",
       h.schema_name AS "MAT_SCHEMA_NAME",
       h.table_name AS "MAT_TABLE_NAME",
       partial_view_name as "PART_VIEW_NAME",
       partial_view_schema as "PART_VIEW_SCHEMA",
       direct_view_name as "DIR_VIEW_NAME",
       direct_view_schema as "DIR_VIEW_SCHEMA"
FROM _timescaledb_catalog.continuous_agg ca
INNER JOIN _timescaledb_catalog.hypertable h ON(h.id = ca.mat_hypertable_id)
WHERE user_view_name = 'rename_test'
\gset
RESET ROLE;
SELECT current_user;
    current_user    
--------------------
 cluster_super_user
(1 row)

ALTER VIEW :"PART_VIEW_SCHEMA".:"PART_VIEW_NAME" SET SCHEMA public;
SET ROLE :ROLE_DEFAULT_PERM_USER;
SELECT user_view_schema, user_view_name, partial_view_schema, partial_view_name
      FROM _timescaledb_catalog.continuous_agg;
 user_view_schema | user_view_name | partial_view_schema | partial_view_name 
------------------+----------------+---------------------+-------------------
 rename_schema    | rename_test    | public              | _partial_view_3
(1 row)

--alter direct view schema
SELECT user_view_schema, user_view_name, direct_view_schema, direct_view_name
      FROM _timescaledb_catalog.continuous_agg;
 user_view_schema | user_view_name |  direct_view_schema   | direct_view_name 
------------------+----------------+-----------------------+------------------
 rename_schema    | rename_test    | _timescaledb_internal | _direct_view_3
(1 row)

RESET ROLE;
SELECT current_user;
    current_user    
--------------------
 cluster_super_user
(1 row)

ALTER VIEW :"DIR_VIEW_SCHEMA".:"DIR_VIEW_NAME" SET SCHEMA public;
SET ROLE :ROLE_DEFAULT_PERM_USER;
SELECT user_view_schema, user_view_name, partial_view_schema, partial_view_name,
      direct_view_schema, direct_view_name
      FROM _timescaledb_catalog.continuous_agg;
 user_view_schema | user_view_name | partial_view_schema | partial_view_name | direct_view_schema | direct_view_name 
------------------+----------------+---------------------+-------------------+--------------------+------------------
 rename_schema    | rename_test    | public              | _partial_view_3   | public             | _direct_view_3
(1 row)

RESET ROLE;
SELECT current_user;
    current_user    
--------------------
 cluster_super_user
(1 row)

ALTER SCHEMA rename_schema RENAME TO new_name_schema;
SET ROLE :ROLE_DEFAULT_PERM_USER;
SELECT user_view_schema, user_view_name, partial_view_schema, partial_view_name,
       direct_view_schema, direct_view_name
      FROM _timescaledb_catalog.continuous_agg;
 user_view_schema | user_view_name | partial_view_schema | partial_view_name | direct_view_schema | direct_view_name 
------------------+----------------+---------------------+-------------------+--------------------+------------------
 new_name_schema  | rename_test    | public              | _partial_view_3   | public             | _direct_view_3
(1 row)

ALTER VIEW :"PART_VIEW_NAME" SET SCHEMA new_name_schema;
ALTER VIEW :"DIR_VIEW_NAME" SET SCHEMA new_name_schema;
SELECT user_view_schema, user_view_name, partial_view_schema, partial_view_name,
       direct_view_schema, direct_view_name
      FROM _timescaledb_catalog.continuous_agg;
 user_view_schema | user_view_name | partial_view_schema | partial_view_name | direct_view_schema | direct_view_name 
------------------+----------------+---------------------+-------------------+--------------------+------------------
 new_name_schema  | rename_test    | new_name_schema     | _partial_view_3   | new_name_schema    | _direct_view_3
(1 row)

RESET ROLE;
SELECT current_user;
    current_user    
--------------------
 cluster_super_user
(1 row)

ALTER SCHEMA new_name_schema RENAME TO foo_name_schema;
SET ROLE :ROLE_DEFAULT_PERM_USER;
SELECT user_view_schema, user_view_name, partial_view_schema, partial_view_name
      FROM _timescaledb_catalog.continuous_agg;
 user_view_schema | user_view_name | partial_view_schema | partial_view_name 
------------------+----------------+---------------------+-------------------
 foo_name_schema  | rename_test    | foo_name_schema     | _partial_view_3
(1 row)

ALTER MATERIALIZED VIEW foo_name_schema.rename_test SET SCHEMA public;
SELECT user_view_schema, user_view_name, partial_view_schema, partial_view_name
      FROM _timescaledb_catalog.continuous_agg;
 user_view_schema | user_view_name | partial_view_schema | partial_view_name 
------------------+----------------+---------------------+-------------------
 public           | rename_test    | foo_name_schema     | _partial_view_3
(1 row)

RESET ROLE;
SELECT current_user;
    current_user    
--------------------
 cluster_super_user
(1 row)

ALTER SCHEMA foo_name_schema RENAME TO rename_schema;
SET ROLE :ROLE_DEFAULT_PERM_USER;
SET client_min_messages TO NOTICE;
SELECT user_view_schema, user_view_name, partial_view_schema, partial_view_name
      FROM _timescaledb_catalog.continuous_agg;
 user_view_schema | user_view_name | partial_view_schema | partial_view_name 
------------------+----------------+---------------------+-------------------
 public           | rename_test    | rename_schema       | _partial_view_3
(1 row)

ALTER MATERIALIZED VIEW rename_test RENAME TO rename_c_aggregate;
SELECT user_view_schema, user_view_name, partial_view_schema, partial_view_name
      FROM _timescaledb_catalog.continuous_agg;
 user_view_schema |   user_view_name   | partial_view_schema | partial_view_name 
------------------+--------------------+---------------------+-------------------
 public           | rename_c_aggregate | rename_schema       | _partial_view_3
(1 row)

SELECT * FROM rename_c_aggregate;
 time_bucket | count 
-------------+-------
(0 rows)

ALTER VIEW rename_schema.:"PART_VIEW_NAME" RENAME TO partial_view;
SELECT user_view_schema, user_view_name, partial_view_schema, partial_view_name,
      direct_view_schema, direct_view_name
      FROM _timescaledb_catalog.continuous_agg;
 user_view_schema |   user_view_name   | partial_view_schema | partial_view_name | direct_view_schema | direct_view_name 
------------------+--------------------+---------------------+-------------------+--------------------+------------------
 public           | rename_c_aggregate | rename_schema       | partial_view      | rename_schema      | _direct_view_3
(1 row)

--rename direct view
ALTER VIEW rename_schema.:"DIR_VIEW_NAME" RENAME TO direct_view;
SELECT user_view_schema, user_view_name, partial_view_schema, partial_view_name,
      direct_view_schema, direct_view_name
      FROM _timescaledb_catalog.continuous_agg;
 user_view_schema |   user_view_name   | partial_view_schema | partial_view_name | direct_view_schema | direct_view_name 
------------------+--------------------+---------------------+-------------------+--------------------+------------------
 public           | rename_c_aggregate | rename_schema       | partial_view      | rename_schema      | direct_view
(1 row)

-- drop_chunks tests
DROP TABLE conditions CASCADE;
DROP TABLE foo CASCADE;
psql:include/cagg_ddl_common.sql:161: NOTICE:  drop cascades to 2 other objects
CREATE TABLE drop_chunks_table(time BIGINT NOT NULL, data INTEGER);
\if :IS_DISTRIBUTED
SELECT hypertable_id AS drop_chunks_table_id
    FROM create_distributed_hypertable('drop_chunks_table', 'time', chunk_time_interval => 10, replication_factor => 2) \gset
\else
SELECT hypertable_id AS drop_chunks_table_id
    FROM create_hypertable('drop_chunks_table', 'time', chunk_time_interval => 10) \gset
\endif
CREATE OR REPLACE FUNCTION integer_now_test() returns bigint LANGUAGE SQL STABLE as $$ SELECT coalesce(max(time), bigint '0') FROM drop_chunks_table $$;
\if :IS_DISTRIBUTED
CALL distributed_exec($DIST$
CREATE OR REPLACE FUNCTION integer_now_test() returns bigint LANGUAGE SQL STABLE as $$ SELECT coalesce(max(time), bigint '0') FROM drop_chunks_table $$;
$DIST$);
\endif
SELECT set_integer_now_func('drop_chunks_table', 'integer_now_test');
 set_integer_now_func 
----------------------
 
(1 row)

CREATE MATERIALIZED VIEW drop_chunks_view
  WITH (
    timescaledb.continuous,
    timescaledb.materialized_only=true
  )
AS SELECT time_bucket('5', time), COUNT(data)
    FROM drop_chunks_table
    GROUP BY 1 WITH NO DATA;
SELECT format('%I.%I', schema_name, table_name) AS drop_chunks_mat_table,
        schema_name AS drop_chunks_mat_schema,
        table_name AS drop_chunks_mat_table_name
    FROM _timescaledb_catalog.hypertable, _timescaledb_catalog.continuous_agg
    WHERE _timescaledb_catalog.continuous_agg.raw_hypertable_id = :drop_chunks_table_id
        AND _timescaledb_catalog.hypertable.id = _timescaledb_catalog.continuous_agg.mat_hypertable_id \gset
-- create 3 chunks, with 3 time bucket
INSERT INTO drop_chunks_table SELECT i, i FROM generate_series(0, 29) AS i;
-- Only refresh up to bucket 15 initially. Matches the old refresh
-- behavior that didn't materialize everything
CALL refresh_continuous_aggregate('drop_chunks_view', 0, 15);
SELECT count(c) FROM show_chunks('drop_chunks_table') AS c;
 count 
-------
     3
(1 row)

SELECT count(c) FROM show_chunks('drop_chunks_view') AS c;
 count 
-------
     1
(1 row)

SELECT * FROM drop_chunks_view ORDER BY 1;
 time_bucket | count 
-------------+-------
           0 |     5
           5 |     5
          10 |     5
(3 rows)

-- cannot drop directly from the materialization table without specifying
-- cont. aggregate view name explicitly
\set ON_ERROR_STOP 0
SELECT drop_chunks(:'drop_chunks_mat_table',
    newer_than => -20,
    verbose => true);
psql:include/cagg_ddl_common.sql:213: ERROR:  operation not supported on materialized hypertable
\set ON_ERROR_STOP 1
SELECT count(c) FROM show_chunks('drop_chunks_table') AS c;
 count 
-------
     3
(1 row)

SELECT count(c) FROM show_chunks('drop_chunks_view') AS c;
 count 
-------
     1
(1 row)

SELECT * FROM drop_chunks_view ORDER BY 1;
 time_bucket | count 
-------------+-------
           0 |     5
           5 |     5
          10 |     5
(3 rows)

-- drop chunks when the chunksize and time_bucket aren't aligned
DROP TABLE drop_chunks_table CASCADE;
psql:include/cagg_ddl_common.sql:222: NOTICE:  drop cascades to 2 other objects
psql:include/cagg_ddl_common.sql:222: NOTICE:  drop cascades to table _timescaledb_internal._hyper_5_4_chunk
CREATE TABLE drop_chunks_table_u(time BIGINT NOT NULL, data INTEGER);
\if :IS_DISTRIBUTED
SELECT hypertable_id AS drop_chunks_table_u_id
    FROM create_distributed_hypertable('drop_chunks_table_u', 'time', chunk_time_interval => 7, replication_factor => 2) \gset
\else
SELECT hypertable_id AS drop_chunks_table_u_id
    FROM create_hypertable('drop_chunks_table_u', 'time', chunk_time_interval => 7) \gset
\endif
CREATE OR REPLACE FUNCTION integer_now_test1() returns bigint LANGUAGE SQL STABLE as $$ SELECT coalesce(max(time), bigint '0') FROM drop_chunks_table_u $$;
\if :IS_DISTRIBUTED
CALL distributed_exec($DIST$
CREATE OR REPLACE FUNCTION integer_now_test1() returns bigint LANGUAGE SQL STABLE as $$ SELECT coalesce(max(time), bigint '0') FROM drop_chunks_table_u $$;
$DIST$);
\endif
SELECT set_integer_now_func('drop_chunks_table_u', 'integer_now_test1');
 set_integer_now_func 
----------------------
 
(1 row)

CREATE MATERIALIZED VIEW drop_chunks_view
  WITH (
    timescaledb.continuous,
    timescaledb.materialized_only=true
  )
AS SELECT time_bucket('3', time), COUNT(data)
    FROM drop_chunks_table_u
    GROUP BY 1 WITH NO DATA;
SELECT format('%I.%I', schema_name, table_name) AS drop_chunks_mat_table_u,
        schema_name AS drop_chunks_mat_schema,
        table_name AS drop_chunks_mat_table_u_name
    FROM _timescaledb_catalog.hypertable, _timescaledb_catalog.continuous_agg
    WHERE _timescaledb_catalog.continuous_agg.raw_hypertable_id = :drop_chunks_table_u_id
        AND _timescaledb_catalog.hypertable.id = _timescaledb_catalog.continuous_agg.mat_hypertable_id \gset
-- create 3 chunks, with 3 time bucket
INSERT INTO drop_chunks_table_u SELECT i, i FROM generate_series(0, 21) AS i;
-- Refresh up to bucket 15 to match old materializer behavior
CALL refresh_continuous_aggregate('drop_chunks_view', 0, 15);
SELECT count(c) FROM show_chunks('drop_chunks_table_u') AS c;
 count 
-------
     4
(1 row)

SELECT count(c) FROM show_chunks('drop_chunks_view') AS c;
 count 
-------
     1
(1 row)

SELECT * FROM drop_chunks_view ORDER BY 1;
 time_bucket | count 
-------------+-------
           0 |     3
           3 |     3
           6 |     3
           9 |     3
          12 |     3
(5 rows)

-- TRUNCATE test
-- Can truncate regular hypertables that have caggs
TRUNCATE drop_chunks_table_u;
\set ON_ERROR_STOP 0
-- Can't truncate materialized hypertables directly
TRUNCATE :drop_chunks_mat_table_u;
psql:include/cagg_ddl_common.sql:271: ERROR:  cannot TRUNCATE a hypertable underlying a continuous aggregate
\set ON_ERROR_STOP 1
-- Check that we don't interfere with TRUNCATE of normal table and
-- partitioned table
CREATE TABLE truncate (value int);
INSERT INTO truncate VALUES (1), (2);
TRUNCATE truncate;
SELECT * FROM truncate;
 value 
-------
(0 rows)

CREATE TABLE truncate_partitioned (value int)
  PARTITION BY RANGE(value);
CREATE TABLE truncate_p1 PARTITION OF truncate_partitioned
  FOR VALUES FROM (1) TO (3);
INSERT INTO truncate_partitioned VALUES (1), (2);
TRUNCATE truncate_partitioned;
SELECT * FROM truncate_partitioned;
 value 
-------
(0 rows)

-- ALTER TABLE tests
\set ON_ERROR_STOP 0
-- test a variety of ALTER TABLE statements
ALTER TABLE :drop_chunks_mat_table_u RENAME time_bucket TO bad_name;
psql:include/cagg_ddl_common.sql:291: ERROR:  renaming columns on materialization tables is not supported
ALTER TABLE :drop_chunks_mat_table_u ADD UNIQUE(time_bucket);
psql:include/cagg_ddl_common.sql:292: ERROR:  operation not supported on materialization tables
ALTER TABLE :drop_chunks_mat_table_u SET UNLOGGED;
psql:include/cagg_ddl_common.sql:293: ERROR:  operation not supported on materialization tables
ALTER TABLE :drop_chunks_mat_table_u ENABLE ROW LEVEL SECURITY;
psql:include/cagg_ddl_common.sql:294: ERROR:  operation not supported on materialization tables
ALTER TABLE :drop_chunks_mat_table_u ADD COLUMN fizzle INTEGER;
psql:include/cagg_ddl_common.sql:295: ERROR:  operation not supported on materialization tables
ALTER TABLE :drop_chunks_mat_table_u DROP COLUMN time_bucket;
psql:include/cagg_ddl_common.sql:296: ERROR:  operation not supported on materialization tables
ALTER TABLE :drop_chunks_mat_table_u ALTER COLUMN time_bucket DROP NOT NULL;
psql:include/cagg_ddl_common.sql:297: ERROR:  operation not supported on materialization tables
ALTER TABLE :drop_chunks_mat_table_u ALTER COLUMN time_bucket SET DEFAULT 1;
psql:include/cagg_ddl_common.sql:298: ERROR:  operation not supported on materialization tables
ALTER TABLE :drop_chunks_mat_table_u ALTER COLUMN time_bucket SET STORAGE EXTERNAL;
psql:include/cagg_ddl_common.sql:299: ERROR:  operation not supported on materialization tables
ALTER TABLE :drop_chunks_mat_table_u DISABLE TRIGGER ALL;
psql:include/cagg_ddl_common.sql:300: ERROR:  operation not supported on materialization tables
ALTER TABLE :drop_chunks_mat_table_u SET TABLESPACE foo;
psql:include/cagg_ddl_common.sql:301: ERROR:  operation not supported on materialization tables
ALTER TABLE :drop_chunks_mat_table_u NOT OF;
psql:include/cagg_ddl_common.sql:302: ERROR:  operation not supported on materialization tables
ALTER TABLE :drop_chunks_mat_table_u OWNER TO CURRENT_USER;
psql:include/cagg_ddl_common.sql:303: ERROR:  operation not supported on materialization tables
\set ON_ERROR_STOP 1
ALTER TABLE :drop_chunks_mat_table_u SET SCHEMA public;
ALTER TABLE :drop_chunks_mat_table_u_name RENAME TO new_name;
SET ROLE :ROLE_DEFAULT_PERM_USER;
SET client_min_messages TO NOTICE;
SELECT * FROM new_name;
 time_bucket | count 
-------------+-------
           0 |     3
           3 |     3
           6 |     3
           9 |     3
          12 |     3
(5 rows)

SELECT * FROM drop_chunks_view ORDER BY 1;
 time_bucket | count 
-------------+-------
           0 |     3
           3 |     3
           6 |     3
           9 |     3
          12 |     3
(5 rows)

\set ON_ERROR_STOP 0
-- no continuous aggregates on a continuous aggregate materialization table
CREATE MATERIALIZED VIEW new_name_view
  WITH (
    timescaledb.continuous,
    timescaledb.materialized_only=true
  )
AS SELECT time_bucket('6', time_bucket), COUNT("count")
    FROM new_name
    GROUP BY 1 WITH NO DATA;
psql:include/cagg_ddl_common.sql:326: ERROR:  hypertable is a continuous aggregate materialization table
\set ON_ERROR_STOP 1
CREATE TABLE metrics(time timestamptz NOT NULL, device_id int, v1 float, v2 float);
\if :IS_DISTRIBUTED
SELECT create_distributed_hypertable('metrics', 'time', replication_factor => 2);
\else
SELECT create_hypertable('metrics','time');
  create_hypertable   
----------------------
 (8,public,metrics,t)
(1 row)

\endif
INSERT INTO metrics SELECT generate_series('2000-01-01'::timestamptz,'2000-01-10','1m'),1,0.25,0.75;
-- check expressions in view definition
CREATE MATERIALIZED VIEW cagg_expr
  WITH (timescaledb.continuous, timescaledb.materialized_only=true)
AS
SELECT
  time_bucket('1d', time) AS time,
  'Const'::text AS Const,
  4.3::numeric AS "numeric",
  first(metrics,time),
  CASE WHEN true THEN 'foo' ELSE 'bar' END,
  COALESCE(NULL,'coalesce'),
  avg(v1) + avg(v2) AS avg1,
  avg(v1+v2) AS avg2
FROM metrics
GROUP BY 1 WITH NO DATA;
CALL refresh_continuous_aggregate('cagg_expr', NULL, NULL);
SELECT * FROM cagg_expr ORDER BY time LIMIT 5;
             time             | const | numeric |                    first                     | case | coalesce | avg1 | avg2 
------------------------------+-------+---------+----------------------------------------------+------+----------+------+------
 Fri Dec 31 16:00:00 1999 PST | Const |     4.3 | ("Sat Jan 01 00:00:00 2000 PST",1,0.25,0.75) | foo  | coalesce |    1 |    1
 Sat Jan 01 16:00:00 2000 PST | Const |     4.3 | ("Sat Jan 01 16:00:00 2000 PST",1,0.25,0.75) | foo  | coalesce |    1 |    1
 Sun Jan 02 16:00:00 2000 PST | Const |     4.3 | ("Sun Jan 02 16:00:00 2000 PST",1,0.25,0.75) | foo  | coalesce |    1 |    1
 Mon Jan 03 16:00:00 2000 PST | Const |     4.3 | ("Mon Jan 03 16:00:00 2000 PST",1,0.25,0.75) | foo  | coalesce |    1 |    1
 Tue Jan 04 16:00:00 2000 PST | Const |     4.3 | ("Tue Jan 04 16:00:00 2000 PST",1,0.25,0.75) | foo  | coalesce |    1 |    1
(5 rows)

--test materialization of invalidation before drop
DROP TABLE IF EXISTS drop_chunks_table CASCADE;
psql:include/cagg_ddl_common.sql:358: NOTICE:  table "drop_chunks_table" does not exist, skipping
DROP TABLE IF EXISTS drop_chunks_table_u CASCADE;
psql:include/cagg_ddl_common.sql:359: NOTICE:  drop cascades to 2 other objects
psql:include/cagg_ddl_common.sql:359: NOTICE:  drop cascades to table _timescaledb_internal._hyper_7_9_chunk
CREATE TABLE drop_chunks_table(time BIGINT NOT NULL, data INTEGER);
\if :IS_DISTRIBUTED
SELECT hypertable_id AS drop_chunks_table_nid
    FROM create_distributed_hypertable('drop_chunks_table', 'time', chunk_time_interval => 10, replication_factor => 2) \gset
\else
SELECT hypertable_id AS drop_chunks_table_nid
    FROM create_hypertable('drop_chunks_table', 'time', chunk_time_interval => 10) \gset
\endif
CREATE OR REPLACE FUNCTION integer_now_test2() returns bigint LANGUAGE SQL STABLE as $$ SELECT coalesce(max(time), bigint '0') FROM drop_chunks_table $$;
\if :IS_DISTRIBUTED
CALL distributed_exec($DIST$
CREATE OR REPLACE FUNCTION integer_now_test2() returns bigint LANGUAGE SQL STABLE as $$ SELECT coalesce(max(time), bigint '0') FROM drop_chunks_table $$;
$DIST$);
\endif
SELECT set_integer_now_func('drop_chunks_table', 'integer_now_test2');
 set_integer_now_func 
----------------------
 
(1 row)

CREATE MATERIALIZED VIEW drop_chunks_view
  WITH (
    timescaledb.continuous,
    timescaledb.materialized_only=true
  )
AS SELECT time_bucket('5', time), max(data)
    FROM drop_chunks_table
    GROUP BY 1 WITH NO DATA;
INSERT INTO drop_chunks_table SELECT i, i FROM generate_series(0, 20) AS i;
--dropping chunks will process the invalidations
SELECT drop_chunks('drop_chunks_table', older_than => (integer_now_test2()-9));
               drop_chunks                
------------------------------------------
 _timescaledb_internal._hyper_10_13_chunk
(1 row)

SELECT * FROM drop_chunks_table ORDER BY time ASC limit 1;
 time | data 
------+------
   10 |   10
(1 row)

INSERT INTO drop_chunks_table SELECT i, i FROM generate_series(20, 35) AS i;
CALL refresh_continuous_aggregate('drop_chunks_view', 10, 40);
--this will be seen after the drop its within the invalidation window and will be dropped
INSERT INTO drop_chunks_table VALUES (26, 100);
--this will not be processed by the drop since chunk 30-39 is not dropped but will be seen after refresh
--shows that the drop doesn't do more work than necessary
INSERT INTO drop_chunks_table VALUES (31, 200);
--move the time up to 39
INSERT INTO drop_chunks_table SELECT i, i FROM generate_series(35, 39) AS i;
--the chunks and ranges we have thus far
SELECT chunk_name, range_start_integer, range_end_integer
FROM timescaledb_information.chunks
WHERE hypertable_name = 'drop_chunks_table';
     chunk_name     | range_start_integer | range_end_integer 
--------------------+---------------------+-------------------
 _hyper_10_14_chunk |                  10 |                20
 _hyper_10_15_chunk |                  20 |                30
 _hyper_10_16_chunk |                  30 |                40
(3 rows)

--the invalidation on 25 not yet seen
SELECT * FROM drop_chunks_view ORDER BY time_bucket DESC;
 time_bucket | max 
-------------+-----
          35 |  35
          30 |  34
          25 |  29
          20 |  24
          15 |  19
          10 |  14
(6 rows)

--refresh to process the invalidations and then drop
CALL refresh_continuous_aggregate('drop_chunks_view', NULL, (integer_now_test2()-9));
SELECT drop_chunks('drop_chunks_table', older_than => (integer_now_test2()-9));
               drop_chunks                
------------------------------------------
 _timescaledb_internal._hyper_10_14_chunk
 _timescaledb_internal._hyper_10_15_chunk
(2 rows)

--new values on 25 now seen in view
SELECT * FROM drop_chunks_view ORDER BY time_bucket DESC;
 time_bucket | max 
-------------+-----
          35 |  35
          30 |  34
          25 | 100
          20 |  24
          15 |  19
          10 |  14
(6 rows)

--earliest datapoint now in table
SELECT * FROM drop_chunks_table ORDER BY time ASC limit 1;
 time | data 
------+------
   30 |   30
(1 row)

--we see the chunks row with the dropped flags set;
SELECT * FROM _timescaledb_catalog.chunk where dropped;
 id | hypertable_id |      schema_name      |     table_name     | compressed_chunk_id | dropped | status | osm_chunk 
----+---------------+-----------------------+--------------------+---------------------+---------+--------+-----------
 13 |            10 | _timescaledb_internal | _hyper_10_13_chunk |                     | t       |      0 | f
 14 |            10 | _timescaledb_internal | _hyper_10_14_chunk |                     | t       |      0 | f
 15 |            10 | _timescaledb_internal | _hyper_10_15_chunk |                     | t       |      0 | f
(3 rows)

--still see data in the view
SELECT * FROM drop_chunks_view WHERE time_bucket < (integer_now_test2()-9) ORDER BY time_bucket DESC;
 time_bucket | max 
-------------+-----
          25 | 100
          20 |  24
          15 |  19
          10 |  14
(4 rows)

--no data but covers dropped chunks
SELECT * FROM drop_chunks_table WHERE time < (integer_now_test2()-9) ORDER BY time DESC;
 time | data 
------+------
(0 rows)

--recreate the dropped chunk
INSERT INTO drop_chunks_table SELECT i, i FROM generate_series(0, 20) AS i;
--see data from recreated region
SELECT * FROM drop_chunks_table WHERE time < (integer_now_test2()-9) ORDER BY time DESC;
 time | data 
------+------
   20 |   20
   19 |   19
   18 |   18
   17 |   17
   16 |   16
   15 |   15
   14 |   14
   13 |   13
   12 |   12
   11 |   11
   10 |   10
    9 |    9
    8 |    8
    7 |    7
    6 |    6
    5 |    5
    4 |    4
    3 |    3
    2 |    2
    1 |    1
    0 |    0
(21 rows)

--should show chunk with old name and old ranges
SELECT chunk_name, range_start_integer, range_end_integer
FROM timescaledb_information.chunks
WHERE hypertable_name = 'drop_chunks_table'
ORDER BY range_start_integer;
     chunk_name     | range_start_integer | range_end_integer 
--------------------+---------------------+-------------------
 _hyper_10_13_chunk |                   0 |                10
 _hyper_10_14_chunk |                  10 |                20
 _hyper_10_15_chunk |                  20 |                30
 _hyper_10_16_chunk |                  30 |                40
(4 rows)

--We dropped everything up to the bucket starting at 30 and then
--inserted new data up to and including time 20. Therefore, the
--dropped data should stay the same as long as we only refresh
--buckets that have non-dropped data.
CALL refresh_continuous_aggregate('drop_chunks_view', 30, 40);
SELECT * FROM drop_chunks_view ORDER BY time_bucket DESC;
 time_bucket | max 
-------------+-----
          35 |  39
          30 | 200
          25 | 100
          20 |  24
          15 |  19
          10 |  14
(6 rows)

SELECT format('%I.%I', schema_name, table_name) AS drop_chunks_mat_tablen,
        schema_name AS drop_chunks_mat_schema,
        table_name AS drop_chunks_mat_table_name
    FROM _timescaledb_catalog.hypertable, _timescaledb_catalog.continuous_agg
    WHERE _timescaledb_catalog.continuous_agg.raw_hypertable_id = :drop_chunks_table_nid
        AND _timescaledb_catalog.hypertable.id = _timescaledb_catalog.continuous_agg.mat_hypertable_id \gset
-- TEST drop chunks from continuous aggregates by specifying view name
SELECT drop_chunks('drop_chunks_view',
    newer_than => -20,
    verbose => true);
psql:include/cagg_ddl_common.sql:454: INFO:  dropping chunk _timescaledb_internal._hyper_11_17_chunk
               drop_chunks                
------------------------------------------
 _timescaledb_internal._hyper_11_17_chunk
(1 row)

-- Test that we cannot drop chunks when specifying materialized
-- hypertable
INSERT INTO drop_chunks_table SELECT generate_series(45, 55), 500;
CALL refresh_continuous_aggregate('drop_chunks_view', 45, 55);
SELECT chunk_name, range_start_integer, range_end_integer
FROM timescaledb_information.chunks
WHERE hypertable_name = :'drop_chunks_mat_table_name' ORDER BY range_start_integer;
     chunk_name     | range_start_integer | range_end_integer 
--------------------+---------------------+-------------------
 _hyper_11_20_chunk |                   0 |               100
(1 row)

\set ON_ERROR_STOP 0
\set VERBOSITY default
SELECT drop_chunks(:'drop_chunks_mat_tablen', older_than => 60);
psql:include/cagg_ddl_common.sql:466: ERROR:  operation not supported on materialized hypertable
DETAIL:  Hypertable "_materialized_hypertable_11" is a materialized hypertable.
HINT:  Try the operation on the continuous aggregate instead.
\set VERBOSITY terse
\set ON_ERROR_STOP 1
-----------------------------------------------------------------
-- Test that refresh_continuous_aggregate on chunk will refresh,
-- but only in the regions covered by the show chunks.
-----------------------------------------------------------------
SELECT chunk_name, range_start_integer, range_end_integer
FROM timescaledb_information.chunks
WHERE hypertable_name = 'drop_chunks_table'
ORDER BY 2,3;
     chunk_name     | range_start_integer | range_end_integer 
--------------------+---------------------+-------------------
 _hyper_10_13_chunk |                   0 |                10
 _hyper_10_14_chunk |                  10 |                20
 _hyper_10_15_chunk |                  20 |                30
 _hyper_10_16_chunk |                  30 |                40
 _hyper_10_18_chunk |                  40 |                50
 _hyper_10_19_chunk |                  50 |                60
(6 rows)

-- Pick the second chunk as the one to drop
WITH numbered_chunks AS (
     SELECT row_number() OVER (ORDER BY range_start_integer), chunk_schema, chunk_name, range_start_integer, range_end_integer
     FROM timescaledb_information.chunks
     WHERE hypertable_name = 'drop_chunks_table'
     ORDER BY 1
)
SELECT format('%I.%I', chunk_schema, chunk_name) AS chunk_to_drop, range_start_integer, range_end_integer
FROM numbered_chunks
WHERE row_number = 2 \gset
-- There's data in the table for the chunk/range we will drop
SELECT * FROM drop_chunks_table
WHERE time >= :range_start_integer
AND time < :range_end_integer
ORDER BY 1;
 time | data 
------+------
   10 |   10
   11 |   11
   12 |   12
   13 |   13
   14 |   14
   15 |   15
   16 |   16
   17 |   17
   18 |   18
   19 |   19
(10 rows)

-- Make sure there is also data in the continuous aggregate
-- CARE:
-- Note that this behaviour of dropping the materialization table chunks and expecting a refresh
-- that overlaps that time range to NOT update those chunks is undefined. Since CAGGs over
-- distributed hypertables merge the invalidations the refresh region is updated in the distributed
-- case, which may be different than what happens in the normal hypertable case. The command was:
-- SELECT drop_chunks('drop_chunks_view', newer_than => -20, verbose => true);
CALL refresh_continuous_aggregate('drop_chunks_view', 0, 50);
SELECT * FROM drop_chunks_view
ORDER BY 1;
 time_bucket | max 
-------------+-----
           0 |   4
           5 |   9
          10 |  14
          15 |  19
          20 |  20
          45 | 500
          50 | 500
(7 rows)

-- Drop the second chunk, to leave a gap in the data
\if :IS_DISTRIBUTED
CALL distributed_exec(format('DROP TABLE IF EXISTS %s', :'chunk_to_drop'));
DROP FOREIGN TABLE :chunk_to_drop;
\else
DROP TABLE :chunk_to_drop;
\endif
-- Verify that the second chunk is dropped
SELECT chunk_name, range_start_integer, range_end_integer
FROM timescaledb_information.chunks
WHERE hypertable_name = 'drop_chunks_table'
ORDER BY 2,3;
     chunk_name     | range_start_integer | range_end_integer 
--------------------+---------------------+-------------------
 _hyper_10_13_chunk |                   0 |                10
 _hyper_10_15_chunk |                  20 |                30
 _hyper_10_16_chunk |                  30 |                40
 _hyper_10_18_chunk |                  40 |                50
 _hyper_10_19_chunk |                  50 |                60
(5 rows)

-- Data is no longer in the table but still in the view
SELECT * FROM drop_chunks_table
WHERE time >= :range_start_integer
AND time < :range_end_integer
ORDER BY 1;
 time | data 
------+------
(0 rows)

SELECT * FROM drop_chunks_view
WHERE time_bucket >= :range_start_integer
AND time_bucket < :range_end_integer
ORDER BY 1;
 time_bucket | max 
-------------+-----
          10 |  14
          15 |  19
(2 rows)

-- Insert a large value in one of the chunks that will be dropped
INSERT INTO drop_chunks_table VALUES (:range_start_integer-1, 100);
-- Now refresh and drop the two adjecent chunks
CALL refresh_continuous_aggregate('drop_chunks_view', NULL, 30);
SELECT drop_chunks('drop_chunks_table', older_than=>30);
               drop_chunks                
------------------------------------------
 _timescaledb_internal._hyper_10_13_chunk
 _timescaledb_internal._hyper_10_15_chunk
(2 rows)

-- Verify that the chunks are dropped
SELECT chunk_name, range_start_integer, range_end_integer
FROM timescaledb_information.chunks
WHERE hypertable_name = 'drop_chunks_table'
ORDER BY 2,3;
     chunk_name     | range_start_integer | range_end_integer 
--------------------+---------------------+-------------------
 _hyper_10_16_chunk |                  30 |                40
 _hyper_10_18_chunk |                  40 |                50
 _hyper_10_19_chunk |                  50 |                60
(3 rows)

-- The continuous aggregate should be refreshed in the regions covered
-- by the dropped chunks, but not in the "gap" region, i.e., the
-- region of the chunk that was dropped via DROP TABLE.
SELECT * FROM drop_chunks_view
ORDER BY 1;
 time_bucket | max 
-------------+-----
           0 |   4
           5 | 100
          20 |  20
          45 | 500
          50 | 500
(5 rows)

-- Now refresh in the region of the first two dropped chunks
CALL refresh_continuous_aggregate('drop_chunks_view', 0, :range_end_integer);
-- Aggregate data in the refreshed range should no longer exist since
-- the underlying data was dropped.
SELECT * FROM drop_chunks_view
ORDER BY 1;
 time_bucket | max 
-------------+-----
          20 |  20
          45 | 500
          50 | 500
(3 rows)

--------------------------------------------------------------------
-- Check that we can create a materialized table in a tablespace. We
-- create one with tablespace and one without and compare them.
CREATE VIEW cagg_info AS
WITH
  caggs AS (
    SELECT format('%I.%I', user_view_schema, user_view_name)::regclass AS user_view,
           format('%I.%I', direct_view_schema, direct_view_name)::regclass AS direct_view,
           format('%I.%I', partial_view_schema, partial_view_name)::regclass AS partial_view,
           format('%I.%I', ht.schema_name, ht.table_name)::regclass AS mat_relid
      FROM _timescaledb_catalog.hypertable ht,
           _timescaledb_catalog.continuous_agg cagg
     WHERE ht.id = cagg.mat_hypertable_id
  )
SELECT user_view,
       pg_get_userbyid(relowner) AS user_view_owner,
       relname AS mat_table,
       (SELECT pg_get_userbyid(relowner) FROM pg_class WHERE oid = mat_relid) AS mat_table_owner,
       direct_view,
       (SELECT pg_get_userbyid(relowner) FROM pg_class WHERE oid = direct_view) AS direct_view_owner,
       partial_view,
       (SELECT pg_get_userbyid(relowner) FROM pg_class WHERE oid = partial_view) AS partial_view_owner,
       (SELECT spcname FROM pg_tablespace WHERE oid = reltablespace) AS tablespace
  FROM pg_class JOIN caggs ON pg_class.oid = caggs.mat_relid;
GRANT SELECT ON cagg_info TO PUBLIC;
CREATE VIEW chunk_info AS
SELECT ht.schema_name, ht.table_name, relname AS chunk_name,
       (SELECT spcname FROM pg_tablespace WHERE oid = reltablespace) AS tablespace
  FROM pg_class c,
       _timescaledb_catalog.hypertable ht,
       _timescaledb_catalog.chunk ch
 WHERE ch.table_name = c.relname AND ht.id = ch.hypertable_id;
CREATE TABLE whatever(time BIGINT NOT NULL, data INTEGER);
\if :IS_DISTRIBUTED
SELECT hypertable_id AS whatever_nid
  FROM create_distributed_hypertable('whatever', 'time', chunk_time_interval => 10, replication_factor => 2)
\gset
\else
SELECT hypertable_id AS whatever_nid
  FROM create_hypertable('whatever', 'time', chunk_time_interval => 10)
\gset
\endif
SELECT set_integer_now_func('whatever', 'integer_now_test');
 set_integer_now_func 
----------------------
 
(1 row)

CREATE MATERIALIZED VIEW whatever_view_1
WITH (timescaledb.continuous, timescaledb.materialized_only=true) AS
SELECT time_bucket('5', time), COUNT(data)
  FROM whatever GROUP BY 1 WITH NO DATA;
CREATE MATERIALIZED VIEW whatever_view_2
WITH (timescaledb.continuous, timescaledb.materialized_only=true)
TABLESPACE tablespace1 AS
SELECT time_bucket('5', time), COUNT(data)
  FROM whatever GROUP BY 1 WITH NO DATA;
INSERT INTO whatever SELECT i, i FROM generate_series(0, 29) AS i;
CALL refresh_continuous_aggregate('whatever_view_1', NULL, NULL);
CALL refresh_continuous_aggregate('whatever_view_2', NULL, NULL);
SELECT user_view,
       mat_table,
       cagg_info.tablespace AS mat_tablespace,
       chunk_name,
       chunk_info.tablespace AS chunk_tablespace
  FROM cagg_info, chunk_info
 WHERE mat_table::text = table_name
   AND user_view::text LIKE 'whatever_view%';
    user_view    |          mat_table          | mat_tablespace |     chunk_name     | chunk_tablespace 
-----------------+-----------------------------+----------------+--------------------+------------------
 whatever_view_1 | _materialized_hypertable_13 |                | _hyper_13_24_chunk | 
 whatever_view_2 | _materialized_hypertable_14 | tablespace1    | _hyper_14_25_chunk | tablespace1
(2 rows)

ALTER MATERIALIZED VIEW whatever_view_1 SET TABLESPACE tablespace2;
SELECT user_view,
       mat_table,
       cagg_info.tablespace AS mat_tablespace,
       chunk_name,
       chunk_info.tablespace AS chunk_tablespace
  FROM cagg_info, chunk_info
 WHERE mat_table::text = table_name
   AND user_view::text LIKE 'whatever_view%';
    user_view    |          mat_table          | mat_tablespace |     chunk_name     | chunk_tablespace 
-----------------+-----------------------------+----------------+--------------------+------------------
 whatever_view_1 | _materialized_hypertable_13 | tablespace2    | _hyper_13_24_chunk | tablespace2
 whatever_view_2 | _materialized_hypertable_14 | tablespace1    | _hyper_14_25_chunk | tablespace1
(2 rows)

DROP MATERIALIZED VIEW whatever_view_1;
psql:include/cagg_ddl_common.sql:644: NOTICE:  drop cascades to table _timescaledb_internal._hyper_13_24_chunk
DROP MATERIALIZED VIEW whatever_view_2;
psql:include/cagg_ddl_common.sql:645: NOTICE:  drop cascades to table _timescaledb_internal._hyper_14_25_chunk
-- test bucket width expressions on integer hypertables
CREATE TABLE metrics_int2 (
  time int2 NOT NULL,
  device_id int,
  v1 float,
  v2 float
);
CREATE TABLE metrics_int4 (
  time int4 NOT NULL,
  device_id int,
  v1 float,
  v2 float
);
CREATE TABLE metrics_int8 (
  time int8 NOT NULL,
  device_id int,
  v1 float,
  v2 float
);
\if :IS_DISTRIBUTED
SELECT create_distributed_hypertable (('metrics_' || dt)::regclass, 'time', chunk_time_interval => 10, replication_factor => 2)
FROM (
  VALUES ('int2'),
    ('int4'),
    ('int8')) v (dt);
\else
SELECT create_hypertable (('metrics_' || dt)::regclass, 'time', chunk_time_interval => 10)
FROM (
  VALUES ('int2'),
    ('int4'),
    ('int8')) v (dt);
     create_hypertable      
----------------------------
 (15,public,metrics_int2,t)
 (16,public,metrics_int4,t)
 (17,public,metrics_int8,t)
(3 rows)

\endif
CREATE OR REPLACE FUNCTION int2_now ()
  RETURNS int2
  LANGUAGE SQL
  STABLE
  AS $$
  SELECT 10::int2
$$;
\if :IS_DISTRIBUTED
CALL distributed_exec($DIST$
CREATE OR REPLACE FUNCTION int2_now ()
  RETURNS int2
  LANGUAGE SQL
  STABLE
  AS $$
  SELECT 10::int2
$$;
$DIST$);
\endif
CREATE OR REPLACE FUNCTION int4_now ()
  RETURNS int4
  LANGUAGE SQL
  STABLE
  AS $$
  SELECT 10::int4
$$;
\if :IS_DISTRIBUTED
CALL distributed_exec($DIST$
CREATE OR REPLACE FUNCTION int4_now ()
  RETURNS int4
  LANGUAGE SQL
  STABLE
  AS $$
  SELECT 10::int4
$$;
$DIST$);
\endif
CREATE OR REPLACE FUNCTION int8_now ()
  RETURNS int8
  LANGUAGE SQL
  STABLE
  AS $$
  SELECT 10::int8
$$;
\if :IS_DISTRIBUTED
CALL distributed_exec($DIST$
CREATE OR REPLACE FUNCTION int8_now ()
  RETURNS int8
  LANGUAGE SQL
  STABLE
  AS $$
  SELECT 10::int8
$$;
$DIST$);
\endif
SELECT set_integer_now_func (('metrics_' || dt)::regclass, (dt || '_now')::regproc)
FROM (
  VALUES ('int2'),
    ('int4'),
    ('int8')) v (dt);
 set_integer_now_func 
----------------------
 
 
 
(3 rows)

-- width expression for int2 hypertables
CREATE MATERIALIZED VIEW width_expr WITH (timescaledb.continuous) AS
SELECT time_bucket(1::smallint, time)
FROM metrics_int2
GROUP BY 1;
psql:include/cagg_ddl_common.sql:750: NOTICE:  continuous aggregate "width_expr" is already up-to-date
DROP MATERIALIZED VIEW width_expr;
CREATE MATERIALIZED VIEW width_expr WITH (timescaledb.continuous) AS
SELECT time_bucket(1::smallint + 2::smallint, time)
FROM metrics_int2
GROUP BY 1;
psql:include/cagg_ddl_common.sql:757: NOTICE:  continuous aggregate "width_expr" is already up-to-date
DROP MATERIALIZED VIEW width_expr;
-- width expression for int4 hypertables
CREATE MATERIALIZED VIEW width_expr WITH (timescaledb.continuous) AS
SELECT time_bucket(1, time)
FROM metrics_int4
GROUP BY 1;
psql:include/cagg_ddl_common.sql:765: NOTICE:  continuous aggregate "width_expr" is already up-to-date
DROP MATERIALIZED VIEW width_expr;
CREATE MATERIALIZED VIEW width_expr WITH (timescaledb.continuous) AS
SELECT time_bucket(1 + 2, time)
FROM metrics_int4
GROUP BY 1;
psql:include/cagg_ddl_common.sql:772: NOTICE:  continuous aggregate "width_expr" is already up-to-date
DROP MATERIALIZED VIEW width_expr;
-- width expression for int8 hypertables
CREATE MATERIALIZED VIEW width_expr WITH (timescaledb.continuous) AS
SELECT time_bucket(1, time)
FROM metrics_int8
GROUP BY 1;
psql:include/cagg_ddl_common.sql:780: NOTICE:  continuous aggregate "width_expr" is already up-to-date
DROP MATERIALIZED VIEW width_expr;
CREATE MATERIALIZED VIEW width_expr WITH (timescaledb.continuous) AS
SELECT time_bucket(1 + 2, time)
FROM metrics_int8
GROUP BY 1;
psql:include/cagg_ddl_common.sql:787: NOTICE:  continuous aggregate "width_expr" is already up-to-date
DROP MATERIALIZED VIEW width_expr;
\set ON_ERROR_STOP 0
-- non-immutable expresions should be rejected
CREATE MATERIALIZED VIEW width_expr WITH (timescaledb.continuous) AS
SELECT time_bucket(extract(year FROM now())::smallint, time)
FROM metrics_int2
GROUP BY 1;
psql:include/cagg_ddl_common.sql:796: ERROR:  only immutable expressions allowed in time bucket function
CREATE MATERIALIZED VIEW width_expr WITH (timescaledb.continuous) AS
SELECT time_bucket(extract(year FROM now())::int, time)
FROM metrics_int4
GROUP BY 1;
psql:include/cagg_ddl_common.sql:801: ERROR:  only immutable expressions allowed in time bucket function
CREATE MATERIALIZED VIEW width_expr WITH (timescaledb.continuous) AS
SELECT time_bucket(extract(year FROM now())::int, time)
FROM metrics_int8
GROUP BY 1;
psql:include/cagg_ddl_common.sql:806: ERROR:  only immutable expressions allowed in time bucket function
\set ON_ERROR_STOP 1
-- Test various ALTER MATERIALIZED VIEW statements.
SET ROLE :ROLE_DEFAULT_PERM_USER;
CREATE MATERIALIZED VIEW owner_check WITH (timescaledb.continuous) AS
SELECT time_bucket(1 + 2, time)
FROM metrics_int8
GROUP BY 1
WITH NO DATA;
\x on
SELECT * FROM cagg_info WHERE user_view::text = 'owner_check';
-[ RECORD 1 ]------+---------------------------------------
user_view          | owner_check
user_view_owner    | default_perm_user
mat_table          | _materialized_hypertable_24
mat_table_owner    | default_perm_user
direct_view        | _timescaledb_internal._direct_view_24
direct_view_owner  | default_perm_user
partial_view       | _timescaledb_internal._partial_view_24
partial_view_owner | default_perm_user
tablespace         | 

\x off
-- This should not work since the target user has the wrong role, but
-- we test that the normal checks are done when changing the owner.
\set ON_ERROR_STOP 0
ALTER MATERIALIZED VIEW owner_check OWNER TO :ROLE_1;
psql:include/cagg_ddl_common.sql:826: ERROR:  must be member of role "test_role_1"
\set ON_ERROR_STOP 1
-- Superuser can always change owner
SET ROLE :ROLE_CLUSTER_SUPERUSER;
ALTER MATERIALIZED VIEW owner_check OWNER TO :ROLE_1;
\x on
SELECT * FROM cagg_info WHERE user_view::text = 'owner_check';
-[ RECORD 1 ]------+---------------------------------------
user_view          | owner_check
user_view_owner    | test_role_1
mat_table          | _materialized_hypertable_24
mat_table_owner    | test_role_1
direct_view        | _timescaledb_internal._direct_view_24
direct_view_owner  | test_role_1
partial_view       | _timescaledb_internal._partial_view_24
partial_view_owner | test_role_1
tablespace         | 

\x off
--
-- Test drop continuous aggregate cases
--
-- Issue: #2608
--
CREATE OR REPLACE FUNCTION test_int_now()
  RETURNS INT LANGUAGE SQL STABLE AS
$BODY$
  SELECT 50;
$BODY$;
\if :IS_DISTRIBUTED
CALL distributed_exec($DIST$
  CREATE OR REPLACE FUNCTION test_int_now()
    RETURNS INT LANGUAGE SQL STABLE AS
  $BODY$
    SELECT 50;
  $BODY$;
$DIST$);
\endif
CREATE TABLE conditionsnm(time_int INT NOT NULL, device INT, value FLOAT);
\if :IS_DISTRIBUTED
SELECT create_distributed_hypertable('conditionsnm', 'time_int', chunk_time_interval => 10, replication_factor => 2);
\else
SELECT create_hypertable('conditionsnm', 'time_int', chunk_time_interval => 10);
     create_hypertable      
----------------------------
 (25,public,conditionsnm,t)
(1 row)

\endif
SELECT set_integer_now_func('conditionsnm', 'test_int_now');
 set_integer_now_func 
----------------------
 
(1 row)

INSERT INTO conditionsnm
SELECT time_val, time_val % 4, 3.14 FROM generate_series(0,100,1) AS time_val;
-- Case 1: DROP
CREATE MATERIALIZED VIEW conditionsnm_4
WITH (timescaledb.continuous, timescaledb.materialized_only = TRUE)
AS
SELECT time_bucket(7, time_int) as bucket,
SUM(value), COUNT(value)
FROM conditionsnm GROUP BY bucket WITH DATA;
psql:include/cagg_ddl_common.sql:874: NOTICE:  refreshing continuous aggregate "conditionsnm_4"
DROP materialized view conditionsnm_4;
psql:include/cagg_ddl_common.sql:876: NOTICE:  drop cascades to table _timescaledb_internal._hyper_26_37_chunk
-- Case 2: DROP CASCADE should have similar behaviour as DROP
CREATE MATERIALIZED VIEW conditionsnm_4
WITH (timescaledb.continuous, timescaledb.materialized_only = TRUE)
AS
SELECT time_bucket(7, time_int) as bucket,
SUM(value), COUNT(value)
FROM conditionsnm GROUP BY bucket WITH DATA;
psql:include/cagg_ddl_common.sql:884: NOTICE:  refreshing continuous aggregate "conditionsnm_4"
DROP materialized view conditionsnm_4 CASCADE;
psql:include/cagg_ddl_common.sql:886: NOTICE:  drop cascades to table _timescaledb_internal._hyper_27_38_chunk
-- Case 3: require CASCADE in case of dependent object
CREATE MATERIALIZED VIEW conditionsnm_4
WITH (timescaledb.continuous, timescaledb.materialized_only = TRUE)
AS
SELECT time_bucket(7, time_int) as bucket,
SUM(value), COUNT(value)
FROM conditionsnm GROUP BY bucket WITH DATA;
psql:include/cagg_ddl_common.sql:894: NOTICE:  refreshing continuous aggregate "conditionsnm_4"
CREATE VIEW see_cagg as select * from conditionsnm_4;
\set ON_ERROR_STOP 0
DROP MATERIALIZED VIEW conditionsnm_4;
psql:include/cagg_ddl_common.sql:898: ERROR:  cannot drop view conditionsnm_4 because other objects depend on it
\set ON_ERROR_STOP 1
-- Case 4: DROP CASCADE with dependency
DROP MATERIALIZED VIEW conditionsnm_4 CASCADE;
psql:include/cagg_ddl_common.sql:902: NOTICE:  drop cascades to view see_cagg
psql:include/cagg_ddl_common.sql:902: NOTICE:  drop cascades to table _timescaledb_internal._hyper_28_39_chunk
-- Test DROP SCHEMA CASCADE with continuous aggregates
--
-- Issue: #2350
--
-- Case 1: DROP SCHEMA CASCADE
CREATE SCHEMA test_schema;
CREATE TABLE test_schema.telemetry_raw (
  ts        TIMESTAMP WITH TIME ZONE NOT NULL,
  value     DOUBLE PRECISION
);
\if :IS_DISTRIBUTED
SELECT create_distributed_hypertable('test_schema.telemetry_raw', 'ts', replication_factor => 2);
\else
SELECT create_hypertable('test_schema.telemetry_raw', 'ts');
        create_hypertable         
----------------------------------
 (29,test_schema,telemetry_raw,t)
(1 row)

\endif
CREATE MATERIALIZED VIEW test_schema.telemetry_1s
  WITH (timescaledb.continuous)
    AS
SELECT time_bucket(INTERVAL '1s', ts) AS ts_1s,
       avg(value)
  FROM test_schema.telemetry_raw
 GROUP BY ts_1s WITH NO DATA;
SELECT ca.raw_hypertable_id,
       h.schema_name,
       h.table_name AS "MAT_TABLE_NAME",
       partial_view_name as "PART_VIEW_NAME",
       partial_view_schema
FROM _timescaledb_catalog.continuous_agg ca
INNER JOIN _timescaledb_catalog.hypertable h ON (h.id = ca.mat_hypertable_id)
WHERE user_view_name = 'telemetry_1s';
 raw_hypertable_id |      schema_name      |       MAT_TABLE_NAME        |  PART_VIEW_NAME  |  partial_view_schema  
-------------------+-----------------------+-----------------------------+------------------+-----------------------
                29 | _timescaledb_internal | _materialized_hypertable_30 | _partial_view_30 | _timescaledb_internal
(1 row)

\gset
DROP SCHEMA test_schema CASCADE;
psql:include/cagg_ddl_common.sql:941: NOTICE:  drop cascades to 4 other objects
SELECT count(*) FROM pg_class WHERE relname = :'MAT_TABLE_NAME';
 count 
-------
     0
(1 row)

SELECT count(*) FROM pg_class WHERE relname = :'PART_VIEW_NAME';
 count 
-------
     0
(1 row)

SELECT count(*) FROM pg_class WHERE relname = 'telemetry_1s';
 count 
-------
     0
(1 row)

SELECT count(*) FROM pg_namespace WHERE nspname = 'test_schema';
 count 
-------
     0
(1 row)

-- Case 2: DROP SCHEMA CASCADE with multiple caggs
CREATE SCHEMA test_schema;
CREATE TABLE test_schema.telemetry_raw (
  ts        TIMESTAMP WITH TIME ZONE NOT NULL,
  value     DOUBLE PRECISION
);
\if :IS_DISTRIBUTED
SELECT create_distributed_hypertable('test_schema.telemetry_raw', 'ts', replication_factor => 2);
\else
SELECT create_hypertable('test_schema.telemetry_raw', 'ts');
        create_hypertable         
----------------------------------
 (31,test_schema,telemetry_raw,t)
(1 row)

\endif
CREATE MATERIALIZED VIEW test_schema.cagg1
  WITH (timescaledb.continuous)
    AS
SELECT time_bucket(INTERVAL '1s', ts) AS ts_1s,
       avg(value)
  FROM test_schema.telemetry_raw
 GROUP BY ts_1s WITH NO DATA;
CREATE MATERIALIZED VIEW test_schema.cagg2
  WITH (timescaledb.continuous)
    AS
SELECT time_bucket(INTERVAL '1s', ts) AS ts_1s,
       avg(value)
  FROM test_schema.telemetry_raw
 GROUP BY ts_1s WITH NO DATA;
SELECT ca.raw_hypertable_id,
       h.schema_name,
       h.table_name AS "MAT_TABLE_NAME1",
       partial_view_name as "PART_VIEW_NAME1",
       partial_view_schema
FROM _timescaledb_catalog.continuous_agg ca
INNER JOIN _timescaledb_catalog.hypertable h ON (h.id = ca.mat_hypertable_id)
WHERE user_view_name = 'cagg1';
 raw_hypertable_id |      schema_name      |       MAT_TABLE_NAME1       | PART_VIEW_NAME1  |  partial_view_schema  
-------------------+-----------------------+-----------------------------+------------------+-----------------------
                31 | _timescaledb_internal | _materialized_hypertable_32 | _partial_view_32 | _timescaledb_internal
(1 row)

\gset
SELECT ca.raw_hypertable_id,
       h.schema_name,
       h.table_name AS "MAT_TABLE_NAME2",
       partial_view_name as "PART_VIEW_NAME2",
       partial_view_schema
FROM _timescaledb_catalog.continuous_agg ca
INNER JOIN _timescaledb_catalog.hypertable h ON (h.id = ca.mat_hypertable_id)
WHERE user_view_name = 'cagg2';
 raw_hypertable_id |      schema_name      |       MAT_TABLE_NAME2       | PART_VIEW_NAME2  |  partial_view_schema  
-------------------+-----------------------+-----------------------------+------------------+-----------------------
                31 | _timescaledb_internal | _materialized_hypertable_33 | _partial_view_33 | _timescaledb_internal
(1 row)

\gset
DROP SCHEMA test_schema CASCADE;
psql:include/cagg_ddl_common.sql:998: NOTICE:  drop cascades to 7 other objects
SELECT count(*) FROM pg_class WHERE relname = :'MAT_TABLE_NAME1';
 count 
-------
     0
(1 row)

SELECT count(*) FROM pg_class WHERE relname = :'PART_VIEW_NAME1';
 count 
-------
     0
(1 row)

SELECT count(*) FROM pg_class WHERE relname = 'cagg1';
 count 
-------
     0
(1 row)

SELECT count(*) FROM pg_class WHERE relname = :'MAT_TABLE_NAME2';
 count 
-------
     0
(1 row)

SELECT count(*) FROM pg_class WHERE relname = :'PART_VIEW_NAME2';
 count 
-------
     0
(1 row)

SELECT count(*) FROM pg_class WHERE relname = 'cagg2';
 count 
-------
     0
(1 row)

SELECT count(*) FROM pg_namespace WHERE nspname = 'test_schema';
 count 
-------
     0
(1 row)

DROP TABLESPACE tablespace1;
DROP TABLESPACE tablespace2;
-- Check that we can rename a column of a materialized view and still
-- rebuild it after (#3051, #3405)
CREATE TABLE conditions (
       time TIMESTAMPTZ NOT NULL,
       location TEXT NOT NULL,
       temperature DOUBLE PRECISION NULL
);
\if :IS_DISTRIBUTED
SELECT create_distributed_hypertable('conditions', 'time', replication_factor => 2);
\else
SELECT create_hypertable('conditions', 'time');
    create_hypertable     
--------------------------
 (34,public,conditions,t)
(1 row)

\endif
INSERT INTO conditions VALUES ( '2018-01-01 09:20:00-08', 'SFO', 55);
INSERT INTO conditions VALUES ( '2018-01-02 09:30:00-08', 'por', 100);
INSERT INTO conditions VALUES ( '2018-01-02 09:20:00-08', 'SFO', 65);
INSERT INTO conditions VALUES ( '2018-01-02 09:10:00-08', 'NYC', 65);
INSERT INTO conditions VALUES ( '2018-11-01 09:20:00-08', 'NYC', 45);
INSERT INTO conditions VALUES ( '2018-11-01 10:40:00-08', 'NYC', 55);
INSERT INTO conditions VALUES ( '2018-11-01 11:50:00-08', 'NYC', 65);
INSERT INTO conditions VALUES ( '2018-11-01 12:10:00-08', 'NYC', 75);
INSERT INTO conditions VALUES ( '2018-11-01 13:10:00-08', 'NYC', 85);
INSERT INTO conditions VALUES ( '2018-11-02 09:20:00-08', 'NYC', 10);
INSERT INTO conditions VALUES ( '2018-11-02 10:30:00-08', 'NYC', 20);
CREATE MATERIALIZED VIEW conditions_daily
WITH (timescaledb.continuous, timescaledb.materialized_only = false) AS
SELECT location,
       time_bucket(INTERVAL '1 day', time) AS bucket,
       AVG(temperature)
  FROM conditions
GROUP BY location, bucket
WITH NO DATA;
SELECT format('%I.%I', '_timescaledb_internal', h.table_name) AS "MAT_TABLE_NAME",
       format('%I.%I', '_timescaledb_internal', partial_view_name) AS "PART_VIEW_NAME",
       format('%I.%I', '_timescaledb_internal', direct_view_name) AS "DIRECT_VIEW_NAME"
FROM _timescaledb_catalog.continuous_agg ca
INNER JOIN _timescaledb_catalog.hypertable h ON (h.id = ca.mat_hypertable_id)
WHERE user_view_name = 'conditions_daily'
\gset
-- Show both the columns and the view definitions to see that
-- references are correct in the view as well.
SELECT * FROM test.show_columns('conditions_daily');
  Column  |           Type           | NotNull 
----------+--------------------------+---------
 location | text                     | f
 bucket   | timestamp with time zone | f
 avg      | double precision         | f
(3 rows)

SELECT * FROM test.show_columns(:'DIRECT_VIEW_NAME');
  Column  |           Type           | NotNull 
----------+--------------------------+---------
 location | text                     | f
 bucket   | timestamp with time zone | f
 avg      | double precision         | f
(3 rows)

SELECT * FROM test.show_columns(:'PART_VIEW_NAME');
  Column  |           Type           | NotNull 
----------+--------------------------+---------
 location | text                     | f
 bucket   | timestamp with time zone | f
 avg      | double precision         | f
(3 rows)

SELECT * FROM test.show_columns(:'MAT_TABLE_NAME');
  Column  |           Type           | NotNull 
----------+--------------------------+---------
 location | text                     | f
 bucket   | timestamp with time zone | t
 avg      | double precision         | f
(3 rows)

ALTER MATERIALIZED VIEW conditions_daily RENAME COLUMN bucket to "time";
-- Show both the columns and the view definitions to see that
-- references are correct in the view as well.
SELECT * FROM test.show_columns(' conditions_daily');
  Column  |           Type           | NotNull 
----------+--------------------------+---------
 location | text                     | f
 time     | timestamp with time zone | f
 avg      | double precision         | f
(3 rows)

SELECT * FROM test.show_columns(:'DIRECT_VIEW_NAME');
  Column  |           Type           | NotNull 
----------+--------------------------+---------
 location | text                     | f
 time     | timestamp with time zone | f
 avg      | double precision         | f
(3 rows)

SELECT * FROM test.show_columns(:'PART_VIEW_NAME');
  Column  |           Type           | NotNull 
----------+--------------------------+---------
 location | text                     | f
 time     | timestamp with time zone | f
 avg      | double precision         | f
(3 rows)

SELECT * FROM test.show_columns(:'MAT_TABLE_NAME');
  Column  |           Type           | NotNull 
----------+--------------------------+---------
 location | text                     | f
 time     | timestamp with time zone | t
 avg      | double precision         | f
(3 rows)

-- This will rebuild the materialized view and should succeed.
ALTER MATERIALIZED VIEW conditions_daily SET (timescaledb.materialized_only = false);
-- Refresh the continuous aggregate to check that it works after the
-- rename.
\set VERBOSITY verbose
CALL refresh_continuous_aggregate('conditions_daily', NULL, NULL);
\set VERBOSITY terse
--
-- Indexes on continuous aggregate
--
\set ON_ERROR_STOP 0
-- unique indexes are not supported
CREATE UNIQUE INDEX index_unique_error ON conditions_daily ("time", location);
psql:include/cagg_ddl_common.sql:1084: ERROR:  continuous aggregates do not support UNIQUE indexes
-- concurrently index creation not supported
CREATE INDEX CONCURRENTLY index_concurrently_avg ON conditions_daily (avg);
psql:include/cagg_ddl_common.sql:1086: ERROR:  hypertables do not support concurrent index creation
\set ON_ERROR_STOP 1
CREATE INDEX index_avg ON conditions_daily (avg);
CREATE INDEX index_avg_only ON ONLY conditions_daily (avg);
CREATE INDEX index_avg_include ON conditions_daily (avg) INCLUDE (location);
CREATE INDEX index_avg_expr ON conditions_daily ((avg + 1));
CREATE INDEX index_avg_location_sfo ON conditions_daily (avg) WHERE location = 'SFO';
CREATE INDEX index_avg_expr_location_sfo ON conditions_daily ((avg + 2)) WHERE location = 'SFO';
SELECT * FROM test.show_indexespred(:'MAT_TABLE_NAME');
                                 Index                                 |      Columns      |           Expr            |          Pred          | Unique | Primary | Exclusion | Tablespace 
-----------------------------------------------------------------------+-------------------+---------------------------+------------------------+--------+---------+-----------+------------
 _timescaledb_internal._materialized_hypertable_35_bucket_idx          | {bucket}          |                           |                        | f      | f       | f         | 
 _timescaledb_internal._materialized_hypertable_35_location_bucket_idx | {location,bucket} |                           |                        | f      | f       | f         | 
 _timescaledb_internal.index_avg                                       | {avg}             |                           |                        | f      | f       | f         | 
 _timescaledb_internal.index_avg_expr                                  | {expr}            | avg + 1::double precision |                        | f      | f       | f         | 
 _timescaledb_internal.index_avg_expr_location_sfo                     | {expr}            | avg + 2::double precision | location = 'SFO'::text | f      | f       | f         | 
 _timescaledb_internal.index_avg_include                               | {avg,location}    |                           |                        | f      | f       | f         | 
 _timescaledb_internal.index_avg_location_sfo                          | {avg}             |                           | location = 'SFO'::text | f      | f       | f         | 
 _timescaledb_internal.index_avg_only                                  | {avg}             |                           |                        | f      | f       | f         | 
(8 rows)

-- #3696 assertion failure when referencing columns not present in result
CREATE TABLE i3696(time timestamptz NOT NULL, search_query text, cnt integer, cnt2 integer);
\if :IS_DISTRIBUTED
SELECT create_distributed_hypertable('i3696', 'time', replication_factor => 2);
\else
SELECT table_name FROM create_hypertable('i3696','time');
 table_name 
------------
 i3696
(1 row)

\endif
CREATE MATERIALIZED VIEW i3696_cagg1 WITH (timescaledb.continuous)
AS
 SELECT  search_query,count(search_query) as count, sum(cnt), time_bucket(INTERVAL '1 minute', time) AS bucket
 FROM i3696 GROUP BY cnt +cnt2 , bucket, search_query;
psql:include/cagg_ddl_common.sql:1108: NOTICE:  continuous aggregate "i3696_cagg1" is already up-to-date
ALTER MATERIALIZED VIEW i3696_cagg1 SET (timescaledb.materialized_only = 'true');
CREATE MATERIALIZED VIEW i3696_cagg2 WITH (timescaledb.continuous)
AS
 SELECT  search_query,count(search_query) as count, sum(cnt), time_bucket(INTERVAL '1 minute', time) AS bucket
 FROM i3696 GROUP BY cnt + cnt2, bucket, search_query
 HAVING cnt + cnt2 + sum(cnt) > 2 or count(cnt2) > 10;
psql:include/cagg_ddl_common.sql:1116: NOTICE:  continuous aggregate "i3696_cagg2" is already up-to-date
ALTER MATERIALIZED VIEW i3696_cagg2 SET (timescaledb.materialized_only = 'true');
--TEST test with multiple settings on continuous aggregates --
-- test for materialized_only + compress combinations (real time aggs enabled initially)
CREATE TABLE test_setting(time timestamptz not null, val numeric);
\if :IS_DISTRIBUTED
SELECT create_distributed_hypertable('test_setting', 'time', replication_factor => 2);
\else
SELECT create_hypertable('test_setting', 'time');
     create_hypertable      
----------------------------
 (39,public,test_setting,t)
(1 row)

\endif
CREATE MATERIALIZED VIEW test_setting_cagg with (timescaledb.continuous)
AS SELECT time_bucket('1h',time), avg(val), count(*) FROM test_setting GROUP BY 1;
psql:include/cagg_ddl_common.sql:1130: NOTICE:  continuous aggregate "test_setting_cagg" is already up-to-date
INSERT INTO test_setting
SELECT generate_series( '2020-01-10 8:00'::timestamp, '2020-01-30 10:00+00'::timestamptz, '1 day'::interval), 10.0;
CALL refresh_continuous_aggregate('test_setting_cagg', NULL, '2020-05-30 10:00+00'::timestamptz);
SELECT count(*) from test_setting_cagg ORDER BY 1;
 count 
-------
    20
(1 row)

--this row is not in the materialized result ---
INSERT INTO test_setting VALUES( '2020-11-01', 20);
--try out 2 settings here --
ALTER MATERIALIZED VIEW test_setting_cagg SET (timescaledb.materialized_only = 'true', timescaledb.compress='true');
psql:include/cagg_ddl_common.sql:1141: NOTICE:  defaulting compress_orderby to time_bucket
SELECT view_name, compression_enabled, materialized_only
FROM timescaledb_information.continuous_aggregates
where view_name = 'test_setting_cagg';
     view_name     | compression_enabled | materialized_only 
-------------------+---------------------+-------------------
 test_setting_cagg | t                   | t
(1 row)

--real time aggs is off now , should return 20 --
SELECT count(*) from test_setting_cagg ORDER BY 1;
 count 
-------
    20
(1 row)

--now set it back to false --
ALTER MATERIALIZED VIEW test_setting_cagg SET (timescaledb.materialized_only = 'false', timescaledb.compress='true');
psql:include/cagg_ddl_common.sql:1149: NOTICE:  defaulting compress_orderby to time_bucket
SELECT view_name, compression_enabled, materialized_only
FROM timescaledb_information.continuous_aggregates
where view_name = 'test_setting_cagg';
     view_name     | compression_enabled | materialized_only 
-------------------+---------------------+-------------------
 test_setting_cagg | t                   | f
(1 row)

--count should return additional data since we have real time aggs on
SELECT count(*) from test_setting_cagg ORDER BY 1;
 count 
-------
    21
(1 row)

ALTER MATERIALIZED VIEW test_setting_cagg SET (timescaledb.materialized_only = 'true', timescaledb.compress='false');
SELECT view_name, compression_enabled, materialized_only
FROM timescaledb_information.continuous_aggregates
where view_name = 'test_setting_cagg';
     view_name     | compression_enabled | materialized_only 
-------------------+---------------------+-------------------
 test_setting_cagg | f                   | t
(1 row)

--real time aggs is off now , should return 20 --
SELECT count(*) from test_setting_cagg ORDER BY 1;
 count 
-------
    20
(1 row)

ALTER MATERIALIZED VIEW test_setting_cagg SET (timescaledb.materialized_only = 'false', timescaledb.compress='false');
SELECT view_name, compression_enabled, materialized_only
FROM timescaledb_information.continuous_aggregates
where view_name = 'test_setting_cagg';
     view_name     | compression_enabled | materialized_only 
-------------------+---------------------+-------------------
 test_setting_cagg | f                   | f
(1 row)

--count should return additional data since we have real time aggs on
SELECT count(*) from test_setting_cagg ORDER BY 1;
 count 
-------
    21
(1 row)

DELETE FROM test_setting WHERE val = 20;
--TEST test with multiple settings on continuous aggregates with real time aggregates turned off initially --
-- test for materialized_only + compress combinations (real time aggs enabled initially)
DROP MATERIALIZED VIEW test_setting_cagg;
psql:include/cagg_ddl_common.sql:1174: NOTICE:  drop cascades to table _timescaledb_internal._hyper_40_47_chunk
CREATE MATERIALIZED VIEW test_setting_cagg with (timescaledb.continuous, timescaledb.materialized_only = true)
AS SELECT time_bucket('1h',time), avg(val), count(*) FROM test_setting GROUP BY 1;
psql:include/cagg_ddl_common.sql:1177: NOTICE:  refreshing continuous aggregate "test_setting_cagg"
CALL refresh_continuous_aggregate('test_setting_cagg', NULL, '2020-05-30 10:00+00'::timestamptz);
SELECT count(*) from test_setting_cagg ORDER BY 1;
 count 
-------
    20
(1 row)

--this row is not in the materialized result ---
INSERT INTO test_setting VALUES( '2020-11-01', 20);
--try out 2 settings here --
ALTER MATERIALIZED VIEW test_setting_cagg SET (timescaledb.materialized_only = 'false', timescaledb.compress='true');
psql:include/cagg_ddl_common.sql:1185: NOTICE:  defaulting compress_orderby to time_bucket
SELECT view_name, compression_enabled, materialized_only
FROM timescaledb_information.continuous_aggregates
where view_name = 'test_setting_cagg';
     view_name     | compression_enabled | materialized_only 
-------------------+---------------------+-------------------
 test_setting_cagg | t                   | f
(1 row)

--count should return additional data since we have real time aggs on
SELECT count(*) from test_setting_cagg ORDER BY 1;
 count 
-------
    21
(1 row)

--now set it back to false --
ALTER MATERIALIZED VIEW test_setting_cagg SET (timescaledb.materialized_only = 'true', timescaledb.compress='true');
psql:include/cagg_ddl_common.sql:1193: NOTICE:  defaulting compress_orderby to time_bucket
SELECT view_name, compression_enabled, materialized_only
FROM timescaledb_information.continuous_aggregates
where view_name = 'test_setting_cagg';
     view_name     | compression_enabled | materialized_only 
-------------------+---------------------+-------------------
 test_setting_cagg | t                   | t
(1 row)

--real time aggs is off now , should return 20 --
SELECT count(*) from test_setting_cagg ORDER BY 1;
 count 
-------
    20
(1 row)

ALTER MATERIALIZED VIEW test_setting_cagg SET (timescaledb.materialized_only = 'false', timescaledb.compress='false');
SELECT view_name, compression_enabled, materialized_only
FROM timescaledb_information.continuous_aggregates
where view_name = 'test_setting_cagg';
     view_name     | compression_enabled | materialized_only 
-------------------+---------------------+-------------------
 test_setting_cagg | f                   | f
(1 row)

--count should return additional data since we have real time aggs on
SELECT count(*) from test_setting_cagg ORDER BY 1;
 count 
-------
    21
(1 row)

ALTER MATERIALIZED VIEW test_setting_cagg SET (timescaledb.materialized_only = 'true', timescaledb.compress='false');
SELECT view_name, compression_enabled, materialized_only
FROM timescaledb_information.continuous_aggregates
where view_name = 'test_setting_cagg';
     view_name     | compression_enabled | materialized_only 
-------------------+---------------------+-------------------
 test_setting_cagg | f                   | t
(1 row)

--real time aggs is off now , should return 20 --
SELECT count(*) from test_setting_cagg ORDER BY 1;
 count 
-------
    20
(1 row)

-- END TEST with multiple settings
-- Test View Target Entries that contain both aggrefs and Vars in the same expression
CREATE TABLE transactions
(
    "time" timestamp with time zone NOT NULL,
    dummy1 integer,
    dummy2 integer,
    dummy3 integer,
    dummy4 integer,
    dummy5 integer,
    amount integer,
    fiat_value integer
);
\if :IS_DISTRIBUTED
SELECT create_distributed_hypertable('transactions', 'time', replication_factor => 2);
\else
SELECT create_hypertable('transactions', 'time');
     create_hypertable      
----------------------------
 (46,public,transactions,t)
(1 row)

\endif
INSERT INTO transactions VALUES ( '2018-01-01 09:20:00-08', 0, 0, 0, 0, 0, 1, 10);
INSERT INTO transactions VALUES ( '2018-01-02 09:30:00-08', 0, 0, 0, 0, 0, -1, 10);
INSERT INTO transactions VALUES ( '2018-01-02 09:20:00-08', 0, 0, 0, 0, 0, -1, 10);
INSERT INTO transactions VALUES ( '2018-01-02 09:10:00-08', 0, 0, 0, 0, 0, -1, 10);
INSERT INTO transactions VALUES ( '2018-11-01 09:20:00-08', 0, 0, 0, 0, 0, 1, 10);
INSERT INTO transactions VALUES ( '2018-11-01 10:40:00-08', 0, 0, 0, 0, 0, 1, 10);
INSERT INTO transactions VALUES ( '2018-11-01 11:50:00-08', 0, 0, 0, 0, 0, 1, 10);
INSERT INTO transactions VALUES ( '2018-11-01 12:10:00-08', 0, 0, 0, 0, 0, -1, 10);
INSERT INTO transactions VALUES ( '2018-11-01 13:10:00-08', 0, 0, 0, 0, 0, -1, 10);
INSERT INTO transactions VALUES ( '2018-11-02 09:20:00-08', 0, 0, 0, 0, 0, 1, 10);
INSERT INTO transactions VALUES ( '2018-11-02 10:30:00-08', 0, 0, 0, 0, 0, -1, 10);
CREATE materialized view cashflows(
    bucket,
  	amount,
    cashflow,
    cashflow2
) WITH (
    timescaledb.continuous,
    timescaledb.materialized_only = true
) AS
SELECT time_bucket ('1 day', time) AS bucket,
	amount,
  CASE
      WHEN amount < 0 THEN (0 - sum(fiat_value))
      ELSE sum(fiat_value)
  END AS cashflow,
  amount + sum(fiat_value)
FROM transactions
GROUP BY bucket, amount;
psql:include/cagg_ddl_common.sql:1267: NOTICE:  refreshing continuous aggregate "cashflows"
SELECT h.table_name AS "MAT_TABLE_NAME",
       partial_view_name AS "PART_VIEW_NAME",
       direct_view_name AS "DIRECT_VIEW_NAME"
FROM _timescaledb_catalog.continuous_agg ca
INNER JOIN _timescaledb_catalog.hypertable h ON (h.id = ca.mat_hypertable_id)
WHERE user_view_name = 'cashflows'
\gset
-- Show both the columns and the view definitions to see that
-- references are correct in the view as well.
\d+ "_timescaledb_internal".:"DIRECT_VIEW_NAME"
                         View "_timescaledb_internal._direct_view_47"
  Column   |           Type           | Collation | Nullable | Default | Storage | Description 
-----------+--------------------------+-----------+----------+---------+---------+-------------
 bucket    | timestamp with time zone |           |          |         | plain   | 
 amount    | integer                  |           |          |         | plain   | 
 cashflow  | bigint                   |           |          |         | plain   | 
 cashflow2 | bigint                   |           |          |         | plain   | 
View definition:
 SELECT time_bucket('@ 1 day'::interval, transactions."time") AS bucket,
    transactions.amount,
        CASE
            WHEN transactions.amount < 0 THEN 0 - sum(transactions.fiat_value)
            ELSE sum(transactions.fiat_value)
        END AS cashflow,
    transactions.amount + sum(transactions.fiat_value) AS cashflow2
   FROM transactions
  GROUP BY (time_bucket('@ 1 day'::interval, transactions."time")), transactions.amount;

\d+ "_timescaledb_internal".:"PART_VIEW_NAME"
                         View "_timescaledb_internal._partial_view_47"
  Column   |           Type           | Collation | Nullable | Default | Storage | Description 
-----------+--------------------------+-----------+----------+---------+---------+-------------
 bucket    | timestamp with time zone |           |          |         | plain   | 
 amount    | integer                  |           |          |         | plain   | 
 cashflow  | bigint                   |           |          |         | plain   | 
 cashflow2 | bigint                   |           |          |         | plain   | 
View definition:
 SELECT time_bucket('@ 1 day'::interval, transactions."time") AS bucket,
    transactions.amount,
        CASE
            WHEN transactions.amount < 0 THEN 0 - sum(transactions.fiat_value)
            ELSE sum(transactions.fiat_value)
        END AS cashflow,
    transactions.amount + sum(transactions.fiat_value) AS cashflow2
   FROM transactions
  GROUP BY (time_bucket('@ 1 day'::interval, transactions."time")), transactions.amount;

\d+ "_timescaledb_internal".:"MAT_TABLE_NAME"
                          Table "_timescaledb_internal._materialized_hypertable_47"
  Column   |           Type           | Collation | Nullable | Default | Storage | Stats target | Description 
-----------+--------------------------+-----------+----------+---------+---------+--------------+-------------
 bucket    | timestamp with time zone |           | not null |         | plain   |              | 
 amount    | integer                  |           |          |         | plain   |              | 
 cashflow  | bigint                   |           |          |         | plain   |              | 
 cashflow2 | bigint                   |           |          |         | plain   |              | 
Indexes:
    "_materialized_hypertable_47_amount_bucket_idx" btree (amount, bucket DESC)
    "_materialized_hypertable_47_bucket_idx" btree (bucket DESC)
Triggers:
    ts_insert_blocker BEFORE INSERT ON _timescaledb_internal._materialized_hypertable_47 FOR EACH ROW EXECUTE FUNCTION _timescaledb_internal.insert_blocker()
Child tables: _timescaledb_internal._hyper_47_52_chunk,
              _timescaledb_internal._hyper_47_53_chunk

\d+ 'cashflows'
                                    View "public.cashflows"
  Column   |           Type           | Collation | Nullable | Default | Storage | Description 
-----------+--------------------------+-----------+----------+---------+---------+-------------
 bucket    | timestamp with time zone |           |          |         | plain   | 
 amount    | integer                  |           |          |         | plain   | 
 cashflow  | bigint                   |           |          |         | plain   | 
 cashflow2 | bigint                   |           |          |         | plain   | 
View definition:
 SELECT _materialized_hypertable_47.bucket,
    _materialized_hypertable_47.amount,
    _materialized_hypertable_47.cashflow,
    _materialized_hypertable_47.cashflow2
   FROM _timescaledb_internal._materialized_hypertable_47;

SELECT * FROM cashflows;
            bucket            | amount | cashflow | cashflow2 
------------------------------+--------+----------+-----------
 Sun Dec 31 16:00:00 2017 PST |      1 |       10 |        11
 Mon Jan 01 16:00:00 2018 PST |     -1 |      -30 |        29
 Wed Oct 31 17:00:00 2018 PDT |     -1 |      -20 |        19
 Wed Oct 31 17:00:00 2018 PDT |      1 |       30 |        31
 Thu Nov 01 17:00:00 2018 PDT |     -1 |      -10 |         9
 Thu Nov 01 17:00:00 2018 PDT |      1 |       10 |        11
(6 rows)