text: -- 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.
  
  -- initialize the bgw mock state to prevent the materialization workers from running
  \c :TEST_DBNAME :ROLE_SUPERUSER
  
  CREATE OR REPLACE FUNCTION ts_bgw_params_create() RETURNS VOID
  AS :MODULE_PATHNAME LANGUAGE C VOLATILE;
  
  CREATE OR REPLACE FUNCTION test.continuous_aggs_find_view(cagg REGCLASS) RETURNS VOID
  AS :TSL_MODULE_PATHNAME, 'ts_test_continuous_agg_find_by_view_name' LANGUAGE C;
  
  \set WAIT_ON_JOB 0
  \set IMMEDIATELY_SET_UNTIL 1
  \set WAIT_FOR_OTHER_TO_ADVANCE 2
  
  -- remove any default jobs, e.g., telemetry so bgw_job isn't polluted
  DELETE FROM _timescaledb_config.bgw_job WHERE TRUE;
  
  SET ROLE :ROLE_DEFAULT_PERM_USER;
  
  SELECT * FROM _timescaledb_config.bgw_job;
  
  --TEST1 ---
  --basic test with count
  create table foo (a integer, b integer, c integer);
  select table_name from create_hypertable('foo', 'a', chunk_time_interval=> 10);
  
  insert into foo values( 3 , 16 , 20);
  insert into foo values( 1 , 10 , 20);
  insert into foo values( 1 , 11 , 20);
  insert into foo values( 1 , 12 , 20);
  insert into foo values( 1 , 13 , 20);
  insert into foo values( 1 , 14 , 20);
  insert into foo values( 2 , 14 , 20);
  insert into foo values( 2 , 15 , 20);
  insert into foo values( 2 , 16 , 20);
  
  CREATE OR REPLACE FUNCTION integer_now_foo() returns int LANGUAGE SQL STABLE as $$ SELECT coalesce(max(a), 0) FROM foo $$;
  SELECT set_integer_now_func('foo', 'integer_now_foo');
  
  
  CREATE MATERIALIZED VIEW mat_m1(a, countb)
  WITH (timescaledb.continuous, timescaledb.materialized_only=true)
  as
  select a, count(b)
  from foo
  group by time_bucket(1, a), a WITH NO DATA;
  
  SELECT add_continuous_aggregate_policy('mat_m1', NULL, 2::integer, '12 h'::interval) AS job_id
  \gset
  SELECT * FROM _timescaledb_config.bgw_job;
  
  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"
  FROM _timescaledb_catalog.continuous_agg ca
  INNER JOIN _timescaledb_catalog.hypertable h ON(h.id = ca.mat_hypertable_id)
  WHERE user_view_name = 'mat_m1'
  \gset
  
  insert into :"MAT_SCHEMA_NAME".:"MAT_TABLE_NAME"
  select a, _timescaledb_internal.partialize_agg(count(b)),
  time_bucket(1, a)
  ,1
  from foo
  group by time_bucket(1, a) , a ;
  
  select * from mat_m1 order by a ;
  
  --check triggers on user hypertable --
  SET ROLE :ROLE_SUPERUSER;
  select tgname, tgtype, tgenabled , relname from pg_trigger, pg_class
  where tgrelid = pg_class.oid and pg_class.relname like 'foo'
  order by tgname;
  
  SET ROLE :ROLE_DEFAULT_PERM_USER;
  
  -- TEST2 ---
  DROP MATERIALIZED VIEW mat_m1;
  
  SHOW enable_partitionwise_aggregate;
  SET enable_partitionwise_aggregate = on;
  
  SELECT * FROM _timescaledb_config.bgw_job;
  
  CREATE TABLE conditions (
        timec        TIMESTAMPTZ       NOT NULL,
        location    TEXT              NOT NULL,
        temperature DOUBLE PRECISION  NULL,
        humidity    DOUBLE PRECISION  NULL
      );
  
  select table_name from create_hypertable( 'conditions', 'timec');
  
  insert into conditions values ( '2010-01-01 09:00:00-08', 'SFO', 55, 45);
  insert into conditions values ( '2010-01-02 09:00:00-08', 'por', 100, 100);
  insert into conditions values ( '2010-01-02 09:00:00-08', 'SFO', 65, 45);
  insert into conditions values ( '2010-01-02 09:00:00-08', 'NYC', 65, 45);
  insert into conditions values ( '2018-11-01 09:00:00-08', 'NYC', 45, 35);
  insert into conditions values ( '2018-11-02 09:00:00-08', 'NYC', 35, 15);
  
  
  CREATE MATERIALIZED VIEW mat_m1( timec, minl, sumt , sumh)
  WITH (timescaledb.continuous, timescaledb.materialized_only=true)
  as
  select time_bucket('1day', timec), min(location), sum(temperature),sum(humidity)
  from conditions
  group by time_bucket('1day', timec) WITH NO DATA;
  
  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"
  FROM _timescaledb_catalog.continuous_agg ca
  INNER JOIN _timescaledb_catalog.hypertable h ON(h.id = ca.mat_hypertable_id)
  WHERE user_view_name = 'mat_m1'
  \gset
  
  -- Materialized hypertable for mat_m1 should not be visible in the
  -- hypertables view:
  SELECT hypertable_schema, hypertable_name
  FROM timescaledb_information.hypertables ORDER BY 1,2;
  
  SET ROLE :ROLE_SUPERUSER;
  insert into  :"MAT_SCHEMA_NAME".:"MAT_TABLE_NAME"
  select
   time_bucket('1day', timec), _timescaledb_internal.partialize_agg( min(location)), _timescaledb_internal.partialize_agg( sum(temperature)) , _timescaledb_internal.partialize_agg( sum(humidity))
  ,1
  from conditions
  group by time_bucket('1day', timec) ;
  
  SET ROLE :ROLE_DEFAULT_PERM_USER;
  --should have same results --
  select timec, minl, sumt, sumh
  from mat_m1
  order by timec;
  
  select time_bucket('1day', timec), min(location), sum(temperature), sum(humidity)
  from conditions
  group by time_bucket('1day', timec)
  order by 1;
  
  SET enable_partitionwise_aggregate = off;
  
  -- TEST3 --
  -- drop on table conditions should cascade to materialized mat_v1
  
  drop table conditions cascade;
  
  CREATE TABLE conditions (
        timec        TIMESTAMPTZ       NOT NULL,
        location    TEXT              NOT NULL,
        temperature DOUBLE PRECISION  NULL,
        humidity    DOUBLE PRECISION  NULL
      );
  
  select table_name from create_hypertable( 'conditions', 'timec');
  
  insert into conditions values ( '2010-01-01 09:00:00-08', 'SFO', 55, 45);
  insert into conditions values ( '2010-01-02 09:00:00-08', 'por', 100, 100);
  insert into conditions values ( '2010-01-02 09:00:00-08', 'NYC', 65, 45);
  insert into conditions values ( '2010-01-02 09:00:00-08', 'SFO', 65, 45);
  insert into conditions values ( '2010-01-03 09:00:00-08', 'NYC', 45, 55);
  insert into conditions values ( '2010-01-05 09:00:00-08', 'SFO', 75, 100);
  insert into conditions values ( '2018-11-01 09:00:00-08', 'NYC', 45, 35);
  insert into conditions values ( '2018-11-02 09:00:00-08', 'NYC', 35, 15);
  insert into conditions values ( '2018-11-03 09:00:00-08', 'NYC', 35, 25);
  
  
  CREATE MATERIALIZED VIEW mat_m1( timec, minl, sumth, stddevh)
  WITH (timescaledb.continuous, timescaledb.materialized_only=true)
  as
  select time_bucket('1week', timec) ,
  min(location), sum(temperature)+sum(humidity), stddev(humidity)
  from conditions
  group by time_bucket('1week', timec)  WITH NO DATA;
  
  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"
  FROM _timescaledb_catalog.continuous_agg ca
  INNER JOIN _timescaledb_catalog.hypertable h ON(h.id = ca.mat_hypertable_id)
  WHERE user_view_name = 'mat_m1'
  \gset
  
  SET ROLE :ROLE_SUPERUSER;
  insert into  :"MAT_SCHEMA_NAME".:"MAT_TABLE_NAME"
  select
   time_bucket('1week', timec),  _timescaledb_internal.partialize_agg( min(location)), _timescaledb_internal.partialize_agg( sum(temperature)) , _timescaledb_internal.partialize_agg( sum(humidity)), _timescaledb_internal.partialize_agg(stddev(humidity))
  ,1
  from conditions
  group by time_bucket('1week', timec) ;
  SET ROLE :ROLE_DEFAULT_PERM_USER;
  
  --should have same results --
  select timec, minl, sumth, stddevh
  from mat_m1
  order by timec;
  
  select time_bucket('1week', timec) ,
  min(location), sum(temperature)+ sum(humidity), stddev(humidity)
  from conditions
  group by time_bucket('1week', timec)
  order by time_bucket('1week', timec);
  
  -- TEST4 --
  --materialized view with group by clause + expression in SELECT
  -- use previous data from conditions
  --drop only the view.
  
  -- apply where clause on result of mat_m1 --
  DROP MATERIALIZED VIEW mat_m1;
  CREATE MATERIALIZED VIEW mat_m1( timec, minl, sumth, stddevh)
  WITH (timescaledb.continuous, timescaledb.materialized_only=true)
  as
  select time_bucket('1week', timec) ,
  min(location), sum(temperature)+sum(humidity), stddev(humidity)
  from conditions
  where location = 'NYC'
  group by time_bucket('1week', timec)
   WITH NO DATA;
  
  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"
  FROM _timescaledb_catalog.continuous_agg ca
  INNER JOIN _timescaledb_catalog.hypertable h ON(h.id = ca.mat_hypertable_id)
  WHERE user_view_name = 'mat_m1'
  \gset
  
  SET ROLE :ROLE_SUPERUSER;
  insert into  :"MAT_SCHEMA_NAME".:"MAT_TABLE_NAME"
  select
   time_bucket('1week', timec),  _timescaledb_internal.partialize_agg( min(location)), _timescaledb_internal.partialize_agg( sum(temperature)) , _timescaledb_internal.partialize_agg( sum(humidity)), _timescaledb_internal.partialize_agg(stddev(humidity))
  ,1
  from conditions
  where location = 'NYC'
  group by time_bucket('1week', timec) ;
  SET ROLE :ROLE_DEFAULT_PERM_USER;
  
  --should have same results --
  select timec, minl, sumth, stddevh
  from mat_m1
  where stddevh is not null
  order by timec;
  
  select time_bucket('1week', timec) ,
  min(location), sum(temperature)+ sum(humidity), stddev(humidity)
  from conditions
  where location = 'NYC'
  group by time_bucket('1week', timec)
  order by time_bucket('1week', timec);
  
  -- TEST5 --
  ---------test with having clause ----------------------
  DROP MATERIALIZED VIEW mat_m1;
  create materialized view mat_m1( timec, minl, sumth, stddevh)
  WITH (timescaledb.continuous, timescaledb.materialized_only=true)
  as
  select time_bucket('1week', timec) ,
  min(location), sum(temperature)+sum(humidity), stddev(humidity)
  from conditions
  group by time_bucket('1week', timec)
  having stddev(humidity) is not null WITH NO DATA;
  ;
  
  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"
  FROM _timescaledb_catalog.continuous_agg ca
  INNER JOIN _timescaledb_catalog.hypertable h ON(h.id = ca.mat_hypertable_id)
  WHERE user_view_name = 'mat_m1'
  \gset
  
  SET ROLE :ROLE_SUPERUSER;
  insert into  :"MAT_SCHEMA_NAME".:"MAT_TABLE_NAME"
  select
   time_bucket('1week', timec),  _timescaledb_internal.partialize_agg( min(location)), _timescaledb_internal.partialize_agg( sum(temperature)) , _timescaledb_internal.partialize_agg( sum(humidity)), _timescaledb_internal.partialize_agg(stddev(humidity))
  ,1
  from conditions
  group by time_bucket('1week', timec) ;
  SET ROLE :ROLE_DEFAULT_PERM_USER;
  
  -- should have same results --
  select * from mat_m1
  order by sumth;
  
  select time_bucket('1week', timec) ,
  min(location), sum(temperature)+sum(humidity), stddev(humidity)
  from conditions
  group by time_bucket('1week', timec)
  having stddev(humidity) is not null
  order by sum(temperature)+sum(humidity);
  
  -- TEST6 --
  --group by with more than 1 group column
  -- having clause with a mix of columns from select list + others
  
  drop table conditions cascade;
  
  CREATE TABLE conditions (
        timec       TIMESTAMPTZ       NOT NULL,
        location    TEXT              NOT NULL,
        temperature DOUBLE PRECISION  NULL,
        humidity    DOUBLE PRECISION  NULL,
        lowp        numeric NULL,
        highp       numeric null
      );
  
  select table_name from create_hypertable( 'conditions', 'timec');
  
  insert into conditions
  select generate_series('2018-12-01 00:00'::timestamp, '2018-12-31 00:00'::timestamp, '1 day'), 'POR', 55, 75, 40, 70;
  insert into conditions
  select generate_series('2018-11-01 00:00'::timestamp, '2018-12-31 00:00'::timestamp, '1 day'), 'NYC', 35, 45, 50, 40;
  insert into conditions
  select generate_series('2018-11-01 00:00'::timestamp, '2018-12-15 00:00'::timestamp, '1 day'), 'LA', 73, 55, 71, 28;
  
  --naming with AS clauses
  CREATE MATERIALIZED VIEW mat_naming
  WITH (timescaledb.continuous, timescaledb.materialized_only=true)
  as
  select time_bucket('1week', timec) as bucket, location as loc, sum(temperature)+sum(humidity), stddev(humidity)
  from conditions
  group by bucket, loc
  having min(location) >= 'NYC' and avg(temperature) > 20 WITH NO DATA;
  
  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"
  FROM _timescaledb_catalog.continuous_agg ca
  INNER JOIN _timescaledb_catalog.hypertable h ON(h.id = ca.mat_hypertable_id)
  WHERE user_view_name = 'mat_naming'
  \gset
  
  select attnum , attname from pg_attribute
  where attnum > 0 and attrelid =
  (Select oid from pg_class where relname like :'MAT_TABLE_NAME')
  order by attnum, attname;
  
  DROP MATERIALIZED VIEW mat_naming;
  
  --naming with default names
  CREATE MATERIALIZED VIEW mat_naming
  WITH (timescaledb.continuous, timescaledb.materialized_only=true)
  as
  select time_bucket('1week', timec), location, sum(temperature)+sum(humidity), stddev(humidity)
  from conditions
  group by 1,2
  having min(location) >= 'NYC' and avg(temperature) > 20 WITH NO DATA;
  
  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"
  FROM _timescaledb_catalog.continuous_agg ca
  INNER JOIN _timescaledb_catalog.hypertable h ON(h.id = ca.mat_hypertable_id)
  WHERE user_view_name = 'mat_naming'
  \gset
  
  select attnum , attname from pg_attribute
  where attnum > 0 and attrelid =
  (Select oid from pg_class where relname like :'MAT_TABLE_NAME')
  order by attnum, attname;
  
  DROP MATERIALIZED VIEW mat_naming;
  
  --naming with view col names
  CREATE MATERIALIZED VIEW mat_naming(bucket, loc, sum_t_h, stdd)
  WITH (timescaledb.continuous, timescaledb.materialized_only=true)
  as
  select time_bucket('1week', timec), location, sum(temperature)+sum(humidity), stddev(humidity)
  from conditions
  group by 1,2
  having min(location) >= 'NYC' and avg(temperature) > 20 WITH NO DATA;
  
  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"
  FROM _timescaledb_catalog.continuous_agg ca
  INNER JOIN _timescaledb_catalog.hypertable h ON(h.id = ca.mat_hypertable_id)
  WHERE user_view_name = 'mat_naming'
  \gset
  
  select attnum , attname from pg_attribute
  where attnum > 0 and attrelid =
  (Select oid from pg_class where relname like :'MAT_TABLE_NAME')
  order by attnum, attname;
  
  DROP MATERIALIZED VIEW mat_naming;
  
  CREATE MATERIALIZED VIEW mat_m1(timec, minl, sumth, stddevh)
  WITH (timescaledb.continuous, timescaledb.materialized_only=true)
  as
  select time_bucket('1week', timec) ,
  min(location), sum(temperature)+sum(humidity), stddev(humidity)
  from conditions
  group by  time_bucket('1week', timec)
  having min(location) >= 'NYC' and avg(temperature) > 20 WITH NO DATA;
  
  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"
  FROM _timescaledb_catalog.continuous_agg ca
  INNER JOIN _timescaledb_catalog.hypertable h ON(h.id = ca.mat_hypertable_id)
  WHERE user_view_name = 'mat_m1'
  \gset
  
  select attnum , attname from pg_attribute
  where attnum > 0 and attrelid =
  (Select oid from pg_class where relname like :'MAT_TABLE_NAME')
  order by attnum, attname;
  
  SET ROLE :ROLE_SUPERUSER;
  insert into  :"MAT_SCHEMA_NAME".:"MAT_TABLE_NAME"
  select
   time_bucket('1week', timec),  _timescaledb_internal.partialize_agg( min(location)), _timescaledb_internal.partialize_agg( sum(temperature)) , _timescaledb_internal.partialize_agg( sum(humidity)), _timescaledb_internal.partialize_agg(stddev(humidity))
  ,_timescaledb_internal.partialize_agg( avg(temperature))
  ,1
  from conditions
  group by time_bucket('1week', timec) ;
  SET ROLE :ROLE_DEFAULT_PERM_USER;
  
  --should have same results --
  select timec, minl, sumth, stddevh
  from mat_m1
  order by timec, minl;
  
  select time_bucket('1week', timec) ,
  min(location), sum(temperature)+sum(humidity), stddev(humidity)
  from conditions
  group by  time_bucket('1week', timec)
  having min(location) >= 'NYC' and avg(temperature) > 20 and avg(lowp) > 10
  order by time_bucket('1week', timec), min(location);
  
  --check view defintion in information views
  select view_name, view_definition from timescaledb_information.continuous_aggregates
  where view_name::text like 'mat_m1';
  
  --TEST6 -- select from internal view
  
  SET ROLE :ROLE_SUPERUSER;
  insert into :"MAT_SCHEMA_NAME".:"MAT_TABLE_NAME"
  select * from :"PART_VIEW_SCHEMA".:"PART_VIEW_NAME";
  SET ROLE :ROLE_DEFAULT_PERM_USER;
  
  --lets drop the view and check
  DROP MATERIALIZED VIEW mat_m1;
  
  drop table conditions;
  CREATE TABLE conditions (
        timec       TIMESTAMPTZ       NOT NULL,
        location    TEXT              NOT NULL,
        temperature DOUBLE PRECISION  NULL,
        humidity    DOUBLE PRECISION  NULL,
        lowp        double precision NULL,
        highp       double precision null,
        allnull     double precision null
      );
  
  select table_name from create_hypertable( 'conditions', 'timec');
  
  insert into conditions
  select generate_series('2018-12-01 00:00'::timestamp, '2018-12-31 00:00'::timestamp, '1 day'), 'POR', 55, 75, 40, 70, NULL;
  insert into conditions
  select generate_series('2018-11-01 00:00'::timestamp, '2018-12-31 00:00'::timestamp, '1 day'), 'NYC', 35, 45, 50, 40, NULL;
  insert into conditions
  select generate_series('2018-11-01 00:00'::timestamp, '2018-12-15 00:00'::timestamp, '1 day'), 'LA', 73, 55, NULL, 28, NULL;
  
  
  SELECT
    $$
    select time_bucket('1week', timec) ,
    min(location) as col1, sum(temperature)+sum(humidity) as col2, stddev(humidity) as col3, min(allnull) as col4
    from conditions
    group by  time_bucket('1week', timec)
    having min(location) >= 'NYC' and avg(temperature) > 20
    $$ AS "QUERY"
  \gset
  
  
  \set ECHO errors
  \ir include/cont_agg_equal.sql
  \set ECHO all
  
  SELECT
    $$
    select time_bucket('1week', timec), location,
    sum(temperature)+sum(humidity) as col2, stddev(humidity) as col3, min(allnull) as col4
    from conditions
    group by location, time_bucket('1week', timec)
    $$ AS "QUERY"
  \gset
  
  \set ECHO errors
  \ir include/cont_agg_equal.sql
  \set ECHO all
  
  --TEST7 -- drop tests for view and hypertable
  --DROP tests
  \set ON_ERROR_STOP 0
  SELECT  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 = 'mat_test'
  \gset
  
  DROP TABLE :"MAT_SCHEMA_NAME".:"MAT_TABLE_NAME";
  DROP VIEW :"PART_VIEW_SCHEMA".:"PART_VIEW_NAME";
  DROP VIEW :"DIR_VIEW_SCHEMA".:"DIR_VIEW_NAME";
  \set ON_ERROR_STOP 1
  
  --catalog entry still there;
  SELECT count(*)
  FROM _timescaledb_catalog.continuous_agg ca
  WHERE user_view_name = 'mat_test';
  
  --mat table, user_view, direct view and partial view all there
  select count(*) from pg_class where relname = :'PART_VIEW_NAME';
  select count(*) from pg_class where relname = :'MAT_TABLE_NAME';
  select count(*) from pg_class where relname = :'DIR_VIEW_NAME';
  select count(*) from pg_class where relname = 'mat_test';
  
  DROP MATERIALIZED VIEW mat_test;
  
  --catalog entry should be gone
  SELECT count(*)
  FROM _timescaledb_catalog.continuous_agg ca
  WHERE user_view_name = 'mat_test';
  
  --mat table, user_view, direct view and partial view all gone
  select count(*) from pg_class where relname = :'PART_VIEW_NAME';
  select count(*) from pg_class where relname = :'MAT_TABLE_NAME';
  select count(*) from pg_class where relname = :'DIR_VIEW_NAME';
  select count(*) from pg_class where relname = 'mat_test';
  
  
  --test dropping raw table
  DROP TABLE conditions;
  CREATE TABLE conditions (
        timec       TIMESTAMPTZ       NOT NULL,
        location    TEXT              NOT NULL,
        temperature DOUBLE PRECISION  NULL,
        humidity    DOUBLE PRECISION  NULL,
        lowp        double precision NULL,
        highp       double precision null,
        allnull     double precision null
      );
  
  select table_name from create_hypertable( 'conditions', 'timec');
  
  --no data in hyper table on purpose so that CASCADE is not required because of chunks
  
  CREATE MATERIALIZED VIEW mat_drop_test(timec, minl, sumt , sumh)
  WITH (timescaledb.continuous, timescaledb.materialized_only=true)
  as
  select time_bucket('1day', timec), min(location), sum(temperature),sum(humidity)
  from conditions
  group by time_bucket('1day', timec) WITH NO DATA;
  
  \set ON_ERROR_STOP 0
  DROP TABLE conditions;
  \set ON_ERROR_STOP 1
  
  --insert data now
  
  insert into conditions
  select generate_series('2018-12-01 00:00'::timestamp, '2018-12-31 00:00'::timestamp, '1 day'), 'POR', 55, 75, 40, 70, NULL;
  insert into conditions
  select generate_series('2018-11-01 00:00'::timestamp, '2018-12-31 00:00'::timestamp, '1 day'), 'NYC', 35, 45, 50, 40, NULL;
  insert into conditions
  select generate_series('2018-11-01 00:00'::timestamp, '2018-12-15 00:00'::timestamp, '1 day'), 'LA', 73, 55, NULL, 28, NULL;
  
  
  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"
  FROM _timescaledb_catalog.continuous_agg ca
  INNER JOIN _timescaledb_catalog.hypertable h ON(h.id = ca.mat_hypertable_id)
  WHERE user_view_name = 'mat_drop_test'
  \gset
  
  SET client_min_messages TO LOG;
  CALL refresh_continuous_aggregate('mat_drop_test', NULL, NULL);
  
  --force invalidation
  insert into conditions
  select generate_series('2017-11-01 00:00'::timestamp, '2017-12-15 00:00'::timestamp, '1 day'), 'LA', 73, 55, NULL, 28, NULL;
  
  select count(*) from _timescaledb_catalog.continuous_aggs_invalidation_threshold;
  select count(*) from _timescaledb_catalog.continuous_aggs_hypertable_invalidation_log;
  
  DROP TABLE conditions CASCADE;
  
  --catalog entry should be gone
  SELECT count(*)
  FROM _timescaledb_catalog.continuous_agg ca
  WHERE user_view_name = 'mat_drop_test';
  select count(*) from _timescaledb_catalog.continuous_aggs_invalidation_threshold;
  select count(*) from _timescaledb_catalog.continuous_aggs_hypertable_invalidation_log;
  select count(*) from _timescaledb_catalog.continuous_aggs_materialization_invalidation_log;
  
  SELECT * FROM _timescaledb_config.bgw_job;
  
  --mat table, user_view, and partial view all gone
  select count(*) from pg_class where relname = :'PART_VIEW_NAME';
  select count(*) from pg_class where relname = :'MAT_TABLE_NAME';
  select count(*) from pg_class where relname = 'mat_drop_test';
  
  --TEST With options
  
  CREATE TABLE conditions (
        timec       TIMESTAMPTZ       NOT NULL,
        location    TEXT              NOT NULL,
        temperature DOUBLE PRECISION  NULL,
        humidity    DOUBLE PRECISION  NULL,
        lowp        double precision NULL,
        highp       double precision null,
        allnull     double precision null
      );
  
  select table_name from create_hypertable( 'conditions', 'timec');
  
  CREATE MATERIALIZED VIEW mat_with_test(timec, minl, sumt , sumh)
  WITH (timescaledb.continuous,
        timescaledb.materialized_only=true)
  as
  select time_bucket('1day', timec), min(location), sum(temperature),sum(humidity)
  from conditions
  group by time_bucket('1day', timec), location, humidity, temperature WITH NO DATA;
  
  SELECT add_continuous_aggregate_policy('mat_with_test', NULL, '5 h'::interval, '12 h'::interval);
  SELECT alter_job(id, schedule_interval => '1h') FROM _timescaledb_config.bgw_job;
  SELECT schedule_interval FROM _timescaledb_config.bgw_job;
  
  SELECT alter_job(id, schedule_interval => '2h') FROM _timescaledb_config.bgw_job;
  SELECT schedule_interval FROM _timescaledb_config.bgw_job;
  
  select indexname, indexdef from pg_indexes where tablename =
  (SELECT h.table_name
  FROM _timescaledb_catalog.continuous_agg ca
  INNER JOIN _timescaledb_catalog.hypertable h ON(h.id = ca.mat_hypertable_id)
  WHERE user_view_name = 'mat_with_test')
  order by indexname;
  
  DROP MATERIALIZED VIEW mat_with_test;
  --no additional indexes
  CREATE MATERIALIZED VIEW mat_with_test(timec, minl, sumt , sumh)
  WITH (timescaledb.continuous,
        timescaledb.materialized_only=true,
        timescaledb.create_group_indexes=false)
  as
  select time_bucket('1day', timec), min(location), sum(temperature),sum(humidity)
  from conditions
  group by time_bucket('1day', timec), location, humidity, temperature WITH NO DATA;
  
  select indexname, indexdef from pg_indexes where tablename =
  (SELECT h.table_name
  FROM _timescaledb_catalog.continuous_agg ca
  INNER JOIN _timescaledb_catalog.hypertable h ON(h.id = ca.mat_hypertable_id)
  WHERE user_view_name = 'mat_with_test');
  
  DROP TABLE conditions CASCADE;
  
  --test WITH using a hypertable with an integer time dimension
  CREATE TABLE conditions (
        timec       INT       NOT NULL,
        location    TEXT              NOT NULL,
        temperature DOUBLE PRECISION  NULL,
        humidity    DOUBLE PRECISION  NULL,
        lowp        double precision NULL,
        highp       double precision null,
        allnull     double precision null
      );
  
  select table_name from create_hypertable( 'conditions', 'timec', chunk_time_interval=> 100);
  
  CREATE OR REPLACE FUNCTION integer_now_conditions() returns int LANGUAGE SQL STABLE as $$ SELECT coalesce(max(timec), 0) FROM conditions $$;
  SELECT set_integer_now_func('conditions', 'integer_now_conditions');
  
  CREATE MATERIALIZED VIEW mat_with_test(timec, minl, sumt , sumh)
  WITH (timescaledb.continuous,
        timescaledb.materialized_only=true)
  as
  select time_bucket(100, timec), min(location), sum(temperature),sum(humidity)
  from conditions
  group by time_bucket(100, timec) WITH NO DATA;
  
  SELECT add_continuous_aggregate_policy('mat_with_test', NULL, 500::integer, '12 h'::interval);
  SELECT alter_job(id, schedule_interval => '2h') FROM _timescaledb_config.bgw_job;
  
  SELECT schedule_interval FROM _timescaledb_config.bgw_job;
  
  DROP TABLE conditions CASCADE;
  
  
  --test space partitions
  CREATE TABLE space_table (
      time BIGINT,
      dev  BIGINT,
      data BIGINT
  );
  
  SELECT create_hypertable(
      'space_table',
      'time',
      chunk_time_interval => 10,
      partitioning_column => 'dev',
      number_partitions => 3);
  
  CREATE OR REPLACE FUNCTION integer_now_space_table() returns BIGINT LANGUAGE SQL STABLE as $$ SELECT coalesce(max(time), BIGINT '0') FROM space_table $$;
  SELECT set_integer_now_func('space_table', 'integer_now_space_table');
  
  CREATE MATERIALIZED VIEW space_view
  WITH (timescaledb.continuous,
        timescaledb.materialized_only=true)
  AS SELECT time_bucket('4', time), COUNT(data)
     FROM space_table
     GROUP BY 1 WITH NO DATA;
  
  INSERT INTO space_table VALUES
    (0, 1, 1), (0, 2, 1), (1, 1, 1), (1, 2, 1),
    (10, 1, 1), (10, 2, 1), (11, 1, 1), (11, 2, 1);
  
  SELECT  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 = 'space_view'
  \gset
  
  SELECT * FROM :"MAT_SCHEMA_NAME".:"MAT_TABLE_NAME"
    ORDER BY time_bucket, chunk_id;
  
  
  CALL refresh_continuous_aggregate('space_view', NULL, NULL);
  
  SELECT * FROM space_view ORDER BY 1;
  
  SELECT * FROM :"MAT_SCHEMA_NAME".:"MAT_TABLE_NAME"
    ORDER BY time_bucket, chunk_id;
  
  
  INSERT INTO space_table VALUES (3, 2, 1);
  
  CALL refresh_continuous_aggregate('space_view', NULL, NULL);
  
  SELECT * FROM space_view ORDER BY 1;
  
  SELECT * FROM :"MAT_SCHEMA_NAME".:"MAT_TABLE_NAME"
    ORDER BY time_bucket, chunk_id;
  
  
  INSERT INTO space_table VALUES (2, 3, 1);
  
  CALL refresh_continuous_aggregate('space_view', NULL, NULL);
  
  SELECT * FROM space_view ORDER BY 1;
  
  SELECT * FROM :"MAT_SCHEMA_NAME".:"MAT_TABLE_NAME"
    ORDER BY time_bucket, chunk_id;
  
  
  DROP TABLE space_table CASCADE;
  
  --
  -- TEST FINALIZEFUNC_EXTRA
  --
  
  -- create special aggregate to test ffunc_extra
  -- Raise warning with the actual type being passed in
  CREATE OR REPLACE FUNCTION fake_ffunc(a int8, b int, c int, d int, x anyelement)
  RETURNS anyelement AS $$
  BEGIN
   RAISE WARNING 'type % %', pg_typeof(d), pg_typeof(x);
   RETURN x;
  END;
  $$
  LANGUAGE plpgsql;
  
  CREATE OR REPLACE FUNCTION fake_sfunc(a int8, b int, c int, d int, x anyelement)
  RETURNS int8 AS $$
  BEGIN
   RETURN b;
  END; $$
  LANGUAGE plpgsql;
  
  
  CREATE AGGREGATE aggregate_to_test_ffunc_extra(int, int, int, anyelement) (
      SFUNC = fake_sfunc,
      STYPE = int8,
      COMBINEFUNC = int8pl,
      FINALFUNC = fake_ffunc,
      PARALLEL = SAFE,
      FINALFUNC_EXTRA
  );
  
  CREATE TABLE conditions (
        timec       INT       NOT NULL,
        location    TEXT              NOT NULL,
        temperature DOUBLE PRECISION  NULL,
        humidity    DOUBLE PRECISION  NULL,
        lowp        double precision NULL,
        highp       double precision null,
        allnull     double precision null
      );
  
  select table_name from create_hypertable( 'conditions', 'timec', chunk_time_interval=> 100);
  
  CREATE OR REPLACE FUNCTION integer_now_conditions() returns int LANGUAGE SQL STABLE as $$ SELECT coalesce(max(timec), 0) FROM conditions $$;
  SELECT set_integer_now_func('conditions', 'integer_now_conditions');
  
  insert into conditions
  select generate_series(0, 200, 10), 'POR', 55, 75, 40, 70, NULL;
  
  
  CREATE MATERIALIZED VIEW mat_ffunc_test
  WITH (timescaledb.continuous, timescaledb.materialized_only=true)
  as
  select time_bucket(100, timec), aggregate_to_test_ffunc_extra(timec, 1, 3, 'test'::text)
  from conditions
  group by time_bucket(100, timec);
  
  SELECT * FROM mat_ffunc_test;
  
  DROP MATERIALIZED view mat_ffunc_test;
  
  CREATE MATERIALIZED VIEW mat_ffunc_test
  WITH (timescaledb.continuous, timescaledb.materialized_only=true)
  as
  select time_bucket(100, timec), aggregate_to_test_ffunc_extra(timec, 4, 5, bigint '123')
  from conditions
  group by time_bucket(100, timec);
  
  SELECT * FROM mat_ffunc_test;
  
  --refresh mat view test when time_bucket is not projected --
  DROP MATERIALIZED VIEW mat_ffunc_test;
  CREATE MATERIALIZED VIEW mat_refresh_test
  WITH (timescaledb.continuous, timescaledb.materialized_only=true)
  as
  select location, max(humidity)
  from conditions
  group by time_bucket(100, timec), location WITH NO DATA;
  
  insert into conditions
  select generate_series(0, 50, 10), 'NYC', 55, 75, 40, 70, NULL;
  
  CALL refresh_continuous_aggregate('mat_refresh_test', NULL, NULL);
  SELECT * FROM mat_refresh_test order by 1,2 ;
  
  -- test for bug when group by is not in project list
  CREATE MATERIALIZED VIEW conditions_grpby_view with (timescaledb.continuous) as
  select time_bucket(100, timec),  sum(humidity)
  from conditions
  group by time_bucket(100, timec), location;
  select * from conditions_grpby_view order by 1, 2;
  
  CREATE MATERIALIZED VIEW conditions_grpby_view2 with (timescaledb.continuous) as
  select time_bucket(100, timec), sum(humidity)
  from conditions
  group by time_bucket(100, timec), location
  having avg(temperature) > 0;
  
  select * from conditions_grpby_view2 order by 1, 2;
  
  -- Test internal functions for continuous aggregates
  SELECT test.continuous_aggs_find_view('mat_refresh_test');
  
  -- Test pseudotype/enum handling
  CREATE TYPE status_enum AS ENUM (
    'red',
    'yellow',
    'green'
  );
  
  CREATE TABLE cagg_types (
    time TIMESTAMPTZ NOT NULL,
    status status_enum,
    names NAME[],
    floats FLOAT[]
  );
  
  SELECT
    table_name
  FROM
    create_hypertable('cagg_types', 'time');
  
  INSERT INTO cagg_types
  SELECT
    '2000-01-01',
    'yellow',
    '{foo,bar,baz}',
    '{1,2.5,3}';
  
  CREATE MATERIALIZED VIEW mat_types WITH (timescaledb.continuous) AS
  SELECT
    time_bucket('1d', time),
    min(status) AS status,
    max(names) AS names,
    min(floats) AS floats
  FROM
    cagg_types
  GROUP BY
    1;
  
  CALL refresh_continuous_aggregate('mat_types',NULL,NULL);
  SELECT * FROM mat_types;
  
  -------------------------------------------------------------------------------------
  -- Test issue #2616 where cagg view contains an experssion with several aggregates in
  
  CREATE TABLE water_consumption
  (
      sensor_id   integer      NOT NULL,
      timestamp   timestamp(0) NOT NULL,
      water_index integer
  );
  
  SELECT create_hypertable('water_consumption', 'timestamp', 'sensor_id', 2);
  
  INSERT INTO public.water_consumption (sensor_id, timestamp, water_index) VALUES 
    (1, '2010-11-03 09:42:30', 1030),
    (1, '2010-11-03 09:42:40', 1032),
    (1, '2010-11-03 09:42:50', 1035),
    (1, '2010-11-03 09:43:30', 1040),
    (1, '2010-11-03 09:43:40', 1045),
    (1, '2010-11-03 09:43:50', 1050),
    (1, '2010-11-03 09:44:30', 1052),
    (1, '2010-11-03 09:44:40', 1057),
    (1, '2010-11-03 09:44:50', 1060),
    (1, '2010-11-03 09:45:30', 1063),
    (1, '2010-11-03 09:45:40', 1067),
    (1, '2010-11-03 09:45:50', 1070);
  
  -- The test with the view originally reported in the issue.
  CREATE MATERIALIZED VIEW water_consumption_aggregation_minute
              WITH (timescaledb.continuous, timescaledb.materialized_only = TRUE)
  AS
  SELECT sensor_id,
         time_bucket(INTERVAL '1 minute', timestamp) + '1 minute' AS timestamp,
         (max(water_index) - min(water_index))                    AS water_consumption
  FROM water_consumption
  GROUP BY sensor_id, time_bucket(INTERVAL '1 minute', timestamp)
  WITH NO DATA;
  
  CALL refresh_continuous_aggregate('water_consumption_aggregation_minute', NULL, NULL);
  
  -- The results of the view and the query over hypertable should be the same
  SELECT * FROM water_consumption_aggregation_minute ORDER BY water_consumption;
  SELECT sensor_id,
         time_bucket(INTERVAL '1 minute', timestamp) + '1 minute' AS timestamp,
         (max(water_index) - min(water_index))                    AS water_consumption
  FROM water_consumption
  GROUP BY sensor_id, time_bucket(INTERVAL '1 minute', timestamp)
  ORDER BY water_consumption;
  
  -- Simplified test, where the view doesn't contain all group by clauses
  CREATE MATERIALIZED VIEW water_consumption_no_select_bucket
              WITH (timescaledb.continuous, timescaledb.materialized_only = TRUE)
  AS
  SELECT sensor_id,
         (max(water_index) - min(water_index))                    AS water_consumption
  FROM water_consumption
  GROUP BY sensor_id, time_bucket(INTERVAL '1 minute', timestamp)
  WITH NO DATA;
  
  CALL refresh_continuous_aggregate('water_consumption_no_select_bucket', NULL, NULL);
  
  -- The results of the view and the query over hypertable should be the same
  SELECT * FROM water_consumption_no_select_bucket ORDER BY water_consumption;
  SELECT sensor_id,
         (max(water_index) - min(water_index))                    AS water_consumption
  FROM water_consumption
  GROUP BY sensor_id, time_bucket(INTERVAL '1 minute', timestamp)
  ORDER BY water_consumption;
  
  -- The test with SELECT matching GROUP BY and placing aggregate expression not the last
  CREATE MATERIALIZED VIEW water_consumption_aggregation_no_addition
              WITH (timescaledb.continuous, timescaledb.materialized_only = TRUE)
  AS
  SELECT sensor_id,
         (max(water_index) - min(water_index))                    AS water_consumption,
         time_bucket(INTERVAL '1 minute', timestamp) AS timestamp
  FROM water_consumption
  GROUP BY sensor_id, time_bucket(INTERVAL '1 minute', timestamp)
  WITH NO DATA;
  
  CALL refresh_continuous_aggregate('water_consumption_aggregation_no_addition', NULL, NULL);
  
  -- The results of the view and the query over hypertable should be the same
  SELECT * FROM water_consumption_aggregation_no_addition ORDER BY water_consumption;
  SELECT sensor_id,
         (max(water_index) - min(water_index))                    AS water_consumption,
         time_bucket(INTERVAL '1 minute', timestamp) AS timestamp
  FROM water_consumption
  GROUP BY sensor_id, time_bucket(INTERVAL '1 minute', timestamp)
  ORDER BY water_consumption;
  
  DROP TABLE water_consumption CASCADE;
  
  ----
  --- github issue 2655 ---
  create table raw_data(time timestamptz, search_query text, cnt integer, cnt2 integer);
  select create_hypertable('raw_data','time', chunk_time_interval=>'15 days'::interval);
  insert into raw_data select '2000-01-01','Q1';
  
  --having has exprs that appear in select 
  CREATE MATERIALIZED VIEW search_query_count_1m WITH (timescaledb.continuous) 
  AS
   SELECT  search_query,count(search_query) as count,
           time_bucket(INTERVAL '1 minute', time) AS bucket
   FROM raw_data
   WHERE search_query is not null AND LENGTH(TRIM(both from search_query))>0
   GROUP BY search_query, bucket HAVING count(search_query) > 3 OR sum(cnt) > 1;
  
  --having has aggregates + grp by columns that appear in select
  CREATE MATERIALIZED VIEW search_query_count_2 WITH (timescaledb.continuous) 
  AS
   SELECT  search_query,count(search_query) as count, sum(cnt),
           time_bucket(INTERVAL '1 minute', time) AS bucket
   FROM raw_data
   WHERE search_query is not null AND LENGTH(TRIM(both from search_query))>0
   GROUP BY search_query, bucket 
  HAVING count(search_query) > 3 OR sum(cnt) > 1 OR 
         ( sum(cnt) + count(cnt)) > 1
         AND search_query = 'Q1';
  
  CREATE MATERIALIZED VIEW search_query_count_3 WITH (timescaledb.continuous) 
  AS
   SELECT  search_query,count(search_query) as count, sum(cnt),
           time_bucket(INTERVAL '1 minute', time) AS bucket
   FROM raw_data
   WHERE search_query is not null AND LENGTH(TRIM(both from search_query))>0
   GROUP BY cnt +cnt2 , bucket, search_query
   HAVING cnt + cnt2 + sum(cnt) > 2 or count(cnt2) > 10;
  
  insert into raw_data select '2000-01-01 00:00+0','Q1', 1, 100;
  insert into raw_data select '2000-01-01 00:00+0','Q1', 2, 200;
  insert into raw_data select '2000-01-01 00:00+0','Q1', 3, 300;
  insert into raw_data select '2000-01-02 00:00+0','Q2', 10, 10;
  insert into raw_data select '2000-01-02 00:00+0','Q2', 20, 20;
  
  CALL refresh_continuous_aggregate('search_query_count_1m', NULL, NULL);
  SELECT * FROM search_query_count_1m ORDER BY 1, 2;
  
  --only 1 of these should appear in the result
  insert into raw_data select '2000-01-02 00:00+0','Q3', 0, 0;
  insert into raw_data select '2000-01-03 00:00+0','Q4', 20, 20;
  
  CALL refresh_continuous_aggregate('search_query_count_1m', NULL, NULL);
  SELECT * FROM search_query_count_1m ORDER BY 1, 2;
  
  --refresh search_query_count_2---
  CALL refresh_continuous_aggregate('search_query_count_2', NULL, NULL);
  SELECT * FROM search_query_count_2 ORDER BY 1, 2;
  
  --refresh search_query_count_3---
  CALL refresh_continuous_aggregate('search_query_count_3', NULL, NULL);
  SELECT * FROM search_query_count_3 ORDER BY 1, 2, 3;
  
  --- TEST enable compression on continuous aggregates
  CREATE VIEW cagg_compression_status as
  SELECT ca.mat_hypertable_id AS mat_htid,
         ca.user_view_name AS cagg_name ,
         h.schema_name AS mat_schema_name,
         h.table_name AS mat_table_name,
         ca.materialized_only
  FROM _timescaledb_catalog.continuous_agg ca
  INNER JOIN _timescaledb_catalog.hypertable h ON(h.id = ca.mat_hypertable_id)
  ;
  SELECT mat_htid AS "MAT_HTID"
       , mat_schema_name || '.' || mat_table_name AS "MAT_HTNAME"
       , mat_table_name AS "MAT_TABLE_NAME"
  FROM cagg_compression_status 
  WHERE cagg_name = 'search_query_count_3' \gset
  
  ALTER MATERIALIZED VIEW search_query_count_3 SET (timescaledb.compress = 'true');
  SELECT cagg_name, mat_table_name
  FROM cagg_compression_status where cagg_name = 'search_query_count_3';
  \x
  SELECT * FROM timescaledb_information.compression_settings 
  WHERE hypertable_name = :'MAT_TABLE_NAME';
  \x
  
  SELECT compress_chunk(ch)
  FROM show_chunks('search_query_count_3') ch;
  
  SELECT * from search_query_count_3 ORDER BY 1, 2, 3;
  
  -- insert into a new region of the hypertable and then refresh the cagg
  -- (note we still do not support refreshes into existing regions.
  -- cagg chunks do not map 1-1 to hypertabl regions. They encompass
  -- more data
  -- ).
  insert into raw_data select '2000-05-01 00:00+0','Q3', 0, 0;
  
  --this one fails now
  \set ON_ERROR_STOP 0
  CALL refresh_continuous_aggregate('search_query_count_3', NULL, '2000-06-01 00:00+0'::timestamptz);
  CALL refresh_continuous_aggregate('search_query_count_3', '2000-05-01 00:00+0'::timestamptz, '2000-06-01 00:00+0'::timestamptz);
  \set ON_ERROR_STOP 1
  
  --insert row 
  insert into raw_data select '2001-05-10 00:00+0','Q3', 100, 100;
  
  --this should succeed since it does not refresh any compressed regions in the cagg
  CALL refresh_continuous_aggregate('search_query_count_3', '2001-05-01 00:00+0'::timestamptz, '2001-06-01 00:00+0'::timestamptz);
  
  --verify watermark and check that chunks are compressed
  SELECT _timescaledb_internal.to_timestamp(w) FROM _timescaledb_internal.cagg_watermark(:'MAT_HTID') w;
  
  SELECT chunk_name, range_start, range_end, is_compressed
  FROM timescaledb_information.chunks 
  WHERE hypertable_name = :'MAT_TABLE_NAME'
  ORDER BY 1;
  
  SELECT * FROM _timescaledb_catalog.continuous_aggs_materialization_invalidation_log
  WHERE materialization_id = :'MAT_HTID' ORDER BY 1, 2,3;
  
  SELECT * from search_query_count_3 
  WHERE bucket > '2001-01-01'
  ORDER BY 1, 2, 3;
  
  --now disable compression , will error out --
  \set ON_ERROR_STOP 0
  ALTER MATERIALIZED VIEW search_query_count_3 SET (timescaledb.compress = 'false');
  \set ON_ERROR_STOP 1
  
  SELECT decompress_chunk(schema_name || '.' || table_name)
  FROM _timescaledb_catalog.chunk
  WHERE hypertable_id = :'MAT_HTID' and status = 1;
  
  --disable compression on cagg after decompressing all chunks--
  ALTER MATERIALIZED VIEW search_query_count_3 SET (timescaledb.compress = 'false');
  SELECT cagg_name, mat_table_name
  FROM cagg_compression_status where cagg_name = 'search_query_count_3';
  SELECT view_name, materialized_only, compression_enabled
  FROM timescaledb_information.continuous_aggregates 
  where view_name = 'search_query_count_3';
  
  -- TEST caggs on table with more columns than in the cagg view defn --
  CREATE TABLE test_morecols ( time TIMESTAMPTZ NOT NULL,
                               val1 INTEGER, val2 INTEGER, val3 INTEGER, val4 INTEGER,
                               val5 INTEGER,  val6 INTEGER, val7 INTEGER, val8 INTEGER);
  SELECT create_hypertable('test_morecols', 'time', chunk_time_interval=> '7 days'::interval);
  INSERT INTO test_morecols 
  SELECT generate_series('2018-12-01 00:00'::timestamp, '2018-12-31 00:00'::timestamp, '1 day'), 55, 75, 40, 70, NULL, 100, 200, 200;
  
  CREATE MATERIALIZED VIEW test_morecols_cagg with (timescaledb.continuous) 
  AS SELECT time_bucket('30 days',time), avg(val1),  count(val2)
   FROM test_morecols GROUP BY 1;
  
  ALTER MATERIALIZED VIEW test_morecols_cagg SET (timescaledb.compress='true');
  
  SELECT compress_chunk(ch) FROM show_chunks('test_morecols_cagg') ch;
  
  SELECT * FROM test_morecols_cagg;
  
  SELECT view_name, materialized_only, compression_enabled
  FROM timescaledb_information.continuous_aggregates 
  where view_name = 'test_morecols_cagg';
  
  --should keep compressed option, modify only materialized --
  ALTER MATERIALIZED VIEW test_morecols_cagg SET (timescaledb.materialized_only='true');
  
  SELECT view_name, materialized_only, compression_enabled
  FROM timescaledb_information.continuous_aggregates 
  where view_name = 'test_morecols_cagg';
  
  CREATE TABLE issue3248(filler_1 int, filler_2 int, filler_3 int, time timestamptz NOT NULL, device_id int, v0 int, v1 int, v2 float, v3 float);
  CREATE INDEX ON issue3248(time DESC);
  CREATE INDEX ON issue3248(device_id,time DESC);
  SELECT create_hypertable('issue3248','time',create_default_indexes:=false);
  
  ALTER TABLE issue3248 DROP COLUMN filler_1;
  INSERT INTO issue3248(time,device_id,v0,v1,v2,v3)
  SELECT time, device_id, device_id+1,  device_id + 2, device_id + 0.5, NULL
  FROM generate_series('2000-01-01 0:00:00+0'::timestamptz,'2000-01-05 23:55:00+0','8h') gtime(time),
       generate_series(1,5,1) gdevice(device_id);
  ALTER TABLE issue3248 DROP COLUMN filler_2;
  INSERT INTO issue3248(time,device_id,v0,v1,v2,v3)
  SELECT time, device_id, device_id-1, device_id + 2, device_id + 0.5, NULL
  FROM generate_series('2000-01-06 0:00:00+0'::timestamptz,'2000-01-12 23:55:00+0','8h') gtime(time),
       generate_series(1,5,1) gdevice(device_id);
  ALTER TABLE issue3248 DROP COLUMN filler_3;
  INSERT INTO issue3248(time,device_id,v0,v1,v2,v3)
  SELECT time, device_id, device_id, device_id + 2, device_id + 0.5, NULL
  FROM generate_series('2000-01-13 0:00:00+0'::timestamptz,'2000-01-19 23:55:00+0','8h') gtime(time),
       generate_series(1,5,1) gdevice(device_id);
  ANALYZE issue3248;
  
  CREATE materialized view issue3248_cagg WITH (timescaledb.continuous)
  AS SELECT time_bucket('1h',time), device_id, min(v0), max(v1), avg(v2)
  FROM issue3248 GROUP BY 1,2;
  
  SELECT
    FROM issue3248 AS m,
         LATERAL(SELECT m FROM issue3248_cagg WHERE avg IS NULL LIMIT 1) AS lat;
  
  -- test that option create_group_indexes is taken into account
  SET client_min_messages = ERROR;
  
  CREATE TABLE test_group_idx (
  time timestamptz,
  symbol int,
  value numeric
  );
  
  select create_hypertable('test_group_idx', 'time');
  
  insert into test_group_idx
  select t, round(random()*10), random()*5
  from generate_series('2020-01-01', '2020-02-25', INTERVAL '12 hours') t;
  
  create materialized view cagg_index_true
  with (timescaledb.continuous, timescaledb.create_group_indexes = true) as 
  select
  	time_bucket('1 day', "time") as bucket,
  	sum(value),
  	symbol 
  from test_group_idx 
  group by bucket, symbol;
  
  create materialized view cagg_index_false
  with (timescaledb.continuous, timescaledb.create_group_indexes = false) as 
  select
  	time_bucket('1 day', "time") as bucket,
  	sum(value),
  	symbol 
  from test_group_idx 
  group by bucket, symbol;
  
  create materialized view cagg_index_default
  with (timescaledb.continuous) as 
  select
  	time_bucket('1 day', "time") as bucket,
  	sum(value),
  	symbol 
  from test_group_idx 
  group by bucket, symbol;
  
  -- see corresponding materialization_hypertables 
  select view_name, materialization_hypertable_name from timescaledb_information.continuous_aggregates ca
  where view_name like 'cagg_index_%';
  -- now make sure a group index has been created when explicitly asked for
  select i.*
  from pg_indexes i
  join pg_class c
      on schemaname = relnamespace::regnamespace::text
      and tablename = relname
  where tablename in (select materialization_hypertable_name from timescaledb_information.continuous_aggregates
  where view_name like 'cagg_index_%')
  order by tablename;
  