--
-- PG18
--
SHOW server_version \gset
SELECT substring(:'server_version', '\d+')::int >= 18 AS server_version_ge_18
\gset
-- test invalid statistics
-- behavior is same among PG versions, error message differs
-- relevant PG18 commit: 3eea4dc2c7, 38883916e
CREATE STATISTICS tst ON a FROM (VALUES (x)) AS foo;
ERROR:  CREATE STATISTICS only supports relation names in the FROM clause
CREATE FUNCTION tftest(int) returns table(a int, b int) as $$
SELECT $1, $1+i FROM generate_series(1,5) g(i);
$$ LANGUAGE sql IMMUTABLE STRICT;
CREATE STATISTICS alt_stat2 ON a FROM tftest(1);
ERROR:  CREATE STATISTICS only supports relation names in the FROM clause
DROP FUNCTION tftest;
\if :server_version_ge_18
\else
\q
\endif
-- PG18-specific tests go here.
--
-- Purpose: Verify PG18 behavior that NOT NULL constraints are materialized
--          as pg_constraint rows with contype = 'n' on both coordinator and
--          worker shards. Also confirm our helper view (table_checks) does
--          NOT surface NOT NULL entries.
-- https://github.com/postgres/postgres/commit/14e87ffa5c543b5f30ead7413084c25f7735039f
CREATE SCHEMA pg18_nn;
SET search_path TO pg18_nn;
-- Local control table
DROP TABLE IF EXISTS nn_local CASCADE;
NOTICE:  table "nn_local" does not exist, skipping
CREATE TABLE nn_local(
    a int NOT NULL,
    b int,
    c text NOT NULL
);
-- Distributed table
DROP TABLE IF EXISTS nn_dist CASCADE;
NOTICE:  table "nn_dist" does not exist, skipping
CREATE TABLE nn_dist(
    a int NOT NULL,
    b int,
    c text NOT NULL
);
SELECT create_distributed_table('nn_dist', 'a');
 create_distributed_table
---------------------------------------------------------------------

(1 row)

-- Coordinator: count NOT NULL constraint rows
SELECT 'local_n_count' AS label, contype, count(*)
FROM pg_constraint
WHERE conrelid = 'pg18_nn.nn_local'::regclass
GROUP BY contype
ORDER BY contype;
     label     | contype | count
---------------------------------------------------------------------
 local_n_count | n       |     2
(1 row)

SELECT 'dist_n_count' AS label, contype, count(*)
FROM pg_constraint
WHERE conrelid = 'pg18_nn.nn_dist'::regclass
GROUP BY contype
ORDER BY contype;
    label     | contype | count
---------------------------------------------------------------------
 dist_n_count | n       |     2
(1 row)

-- Our helper view should exclude NOT NULL
SELECT 'table_checks_local_count' AS label, count(*)
FROM public.table_checks
WHERE relid = 'pg18_nn.nn_local'::regclass;
          label           | count
---------------------------------------------------------------------
 table_checks_local_count |     0
(1 row)

SELECT 'table_checks_dist_count' AS label, count(*)
FROM public.table_checks
WHERE relid = 'pg18_nn.nn_dist'::regclass;
          label          | count
---------------------------------------------------------------------
 table_checks_dist_count |     0
(1 row)

-- Add a real CHECK to ensure table_checks still reports real checks
ALTER TABLE nn_dist ADD CONSTRAINT nn_dist_check CHECK (b IS DISTINCT FROM 42);
SELECT 'table_checks_dist_with_real_check' AS label, count(*)
FROM public.table_checks
WHERE relid = 'pg18_nn.nn_dist'::regclass;
               label               | count
---------------------------------------------------------------------
 table_checks_dist_with_real_check |     1
(1 row)

-- === Worker checks ===
\c - - - :worker_1_port
SET client_min_messages TO WARNING;
SET search_path TO pg18_nn;
-- Pick one heap shard of nn_dist in our schema
SELECT format('%I.%I', n.nspname, c.relname) AS shard_regclass
FROM pg_class c
JOIN pg_namespace n ON n.oid = c.relnamespace
WHERE n.nspname = 'pg18_nn'
  AND c.relname LIKE 'nn_dist_%'
  AND c.relkind = 'r'
ORDER BY c.relname
LIMIT 1
\gset
-- Expect: 2 NOT NULL rows (a,c) + 1 CHECK row on the shard
SELECT 'worker_shard_n_count' AS label, contype, count(*)
FROM pg_constraint
WHERE conrelid = :'shard_regclass'::regclass
GROUP BY contype
ORDER BY contype;
        label         | contype | count
---------------------------------------------------------------------
 worker_shard_n_count | c       |     1
 worker_shard_n_count | n       |     2
(2 rows)

-- table_checks on shard should hide NOT NULL
SELECT 'table_checks_worker_shard_count' AS label, count(*)
FROM public.table_checks
WHERE relid = :'shard_regclass'::regclass;
              label              | count
---------------------------------------------------------------------
 table_checks_worker_shard_count |     1
(1 row)

-- Drop one NOT NULL on coordinator; verify propagation
\c - - - :master_port
SET search_path TO pg18_nn;
ALTER TABLE nn_dist ALTER COLUMN c DROP NOT NULL;
-- Re-check on worker: NOT NULL count should drop to 1
\c - - - :worker_1_port
SET search_path TO pg18_nn;
SELECT 'worker_shard_n_after_drop' AS label, contype, count(*)
FROM pg_constraint
WHERE conrelid = :'shard_regclass'::regclass
GROUP BY contype
ORDER BY contype;
           label           | contype | count
---------------------------------------------------------------------
 worker_shard_n_after_drop | c       |     1
 worker_shard_n_after_drop | n       |     1
(2 rows)

-- And on coordinator
\c - - - :master_port
SET search_path TO pg18_nn;
SELECT 'dist_n_after_drop' AS label, contype, count(*)
FROM pg_constraint
WHERE conrelid = 'pg18_nn.nn_dist'::regclass
GROUP BY contype
ORDER BY contype;
       label       | contype | count
---------------------------------------------------------------------
 dist_n_after_drop | c       |     1
 dist_n_after_drop | n       |     1
(2 rows)

-- Purpose: test self join elimination for distributed, citus local and local tables.
--
CREATE TABLE sje_d1 (id bigserial PRIMARY KEY, name text, created_at timestamptz DEFAULT now());
CREATE TABLE sje_d2 (id bigserial PRIMARY KEY, name text, created_at timestamptz DEFAULT now());
CREATE TABLE sje_local (id bigserial PRIMARY KEY, title text);
SET citus.next_shard_id TO 4754000;
SELECT create_distributed_table('sje_d1', 'id');
 create_distributed_table
---------------------------------------------------------------------

(1 row)

SELECT create_distributed_table('sje_d2', 'id');
 create_distributed_table
---------------------------------------------------------------------

(1 row)

INSERT INTO sje_d1 SELECT i,  i::text, now() FROM generate_series(0,100)i;
INSERT INTO sje_d2 SELECT i,  i::text, now() FROM generate_series(0,100)i;
INSERT INTO sje_local SELECT i,  i::text FROM generate_series(0,100)i;
-- Self-join elimination is applied when distributed tables are involved
-- The query plan has only one join
EXPLAIN (costs off)
select count(1) from sje_d1 INNER
JOIN sje_d2 u1 USING (id) INNER
JOIN sje_d2 u2 USING (id) INNER
JOIN sje_d2 u3 USING (id) INNER
JOIN sje_d2 u4 USING (id) INNER
JOIN sje_d2 u5 USING (id) INNER
JOIN sje_d2 u6 USING (id);
                            QUERY PLAN
---------------------------------------------------------------------
 Aggregate
   ->  Custom Scan (Citus Adaptive)
         Task Count: 4
         Tasks Shown: One of 4
         ->  Task
               Node: host=localhost port=xxxxx dbname=regression
               ->  Aggregate
                     ->  Hash Join
                           Hash Cond: (sje_d1.id = u6.id)
                           ->  Seq Scan on sje_d1_4754000 sje_d1
                           ->  Hash
                                 ->  Seq Scan on sje_d2_4754004 u6
(12 rows)

select count(1) from sje_d1 INNER
JOIN sje_d2 u1 USING (id) INNER
JOIN sje_d2 u2 USING (id) INNER
JOIN sje_d2 u3 USING (id) INNER
JOIN sje_d2 u4 USING (id) INNER
JOIN sje_d2 u5 USING (id) INNER
JOIN sje_d2 u6 USING (id);
 count
---------------------------------------------------------------------
   101
(1 row)

-- Self-join elimination applied to from list join
EXPLAIN (costs off)
SELECT count(1) from sje_d1 d1, sje_d2 u1, sje_d2 u2, sje_d2 u3
WHERE d1.id = u1.id and u1.id = u2.id and u3.id = d1.id;
                            QUERY PLAN
---------------------------------------------------------------------
 Aggregate
   ->  Custom Scan (Citus Adaptive)
         Task Count: 4
         Tasks Shown: One of 4
         ->  Task
               Node: host=localhost port=xxxxx dbname=regression
               ->  Aggregate
                     ->  Hash Join
                           Hash Cond: (d1.id = u3.id)
                           ->  Seq Scan on sje_d1_4754000 d1
                           ->  Hash
                                 ->  Seq Scan on sje_d2_4754004 u3
(12 rows)

SELECT count(1) from sje_d1 d1, sje_d2 u1, sje_d2 u2, sje_d2 u3
WHERE d1.id = u1.id and u1.id = u2.id and u3.id = d1.id;
 count
---------------------------------------------------------------------
   101
(1 row)

-- Self-join elimination is not applied when a local table is involved
-- This is a limitation that will be resolved in citus 14
EXPLAIN (costs off)
select count(1) from sje_d1 INNER
JOIN sje_local u1 USING (id) INNER
JOIN sje_local u2 USING (id) INNER
JOIN sje_local u3 USING (id) INNER
JOIN sje_local u4 USING (id) INNER
JOIN sje_local u5 USING (id) INNER
JOIN sje_local u6 USING (id);
                                                                       QUERY PLAN
---------------------------------------------------------------------
 Aggregate
   ->  Custom Scan (Citus Adaptive)
         ->  Distributed Subplan XXX_1
               ->  Seq Scan on sje_local u1
         ->  Distributed Subplan XXX_2
               ->  Seq Scan on sje_local u2
         ->  Distributed Subplan XXX_3
               ->  Seq Scan on sje_local u3
         ->  Distributed Subplan XXX_4
               ->  Seq Scan on sje_local u4
         ->  Distributed Subplan XXX_5
               ->  Seq Scan on sje_local u5
         ->  Distributed Subplan XXX_6
               ->  Seq Scan on sje_local u6
         Task Count: 4
         Tasks Shown: One of 4
         ->  Task
               Node: host=localhost port=xxxxx dbname=regression
               ->  Aggregate
                     ->  Hash Join
                           Hash Cond: (intermediate_result_5.id = sje_d1.id)
                           ->  Function Scan on read_intermediate_result intermediate_result_5
                           ->  Hash
                                 ->  Hash Join
                                       Hash Cond: (intermediate_result_4.id = sje_d1.id)
                                       ->  Function Scan on read_intermediate_result intermediate_result_4
                                       ->  Hash
                                             ->  Hash Join
                                                   Hash Cond: (intermediate_result_3.id = sje_d1.id)
                                                   ->  Function Scan on read_intermediate_result intermediate_result_3
                                                   ->  Hash
                                                         ->  Hash Join
                                                               Hash Cond: (intermediate_result_2.id = sje_d1.id)
                                                               ->  Function Scan on read_intermediate_result intermediate_result_2
                                                               ->  Hash
                                                                     ->  Hash Join
                                                                           Hash Cond: (intermediate_result_1.id = sje_d1.id)
                                                                           ->  Function Scan on read_intermediate_result intermediate_result_1
                                                                           ->  Hash
                                                                                 ->  Hash Join
                                                                                       Hash Cond: (intermediate_result.id = sje_d1.id)
                                                                                       ->  Function Scan on read_intermediate_result intermediate_result
                                                                                       ->  Hash
                                                                                             ->  Seq Scan on sje_d1_4754000 sje_d1
(44 rows)

select count(1) from sje_d1 INNER
JOIN sje_local u1 USING (id) INNER
JOIN sje_local u2 USING (id) INNER
JOIN sje_local u3 USING (id) INNER
JOIN sje_local u4 USING (id) INNER
JOIN sje_local u5 USING (id) INNER
JOIN sje_local u6 USING (id);
 count
---------------------------------------------------------------------
   101
(1 row)

-- to test USING vs ON equivalence
EXPLAIN (costs off)
SELECT count(1)
FROM sje_d1 d
JOIN sje_d2 u1 ON (d.id = u1.id)
JOIN sje_d2 u2 ON (u1.id = u2.id);
                            QUERY PLAN
---------------------------------------------------------------------
 Aggregate
   ->  Custom Scan (Citus Adaptive)
         Task Count: 4
         Tasks Shown: One of 4
         ->  Task
               Node: host=localhost port=xxxxx dbname=regression
               ->  Aggregate
                     ->  Hash Join
                           Hash Cond: (d.id = u2.id)
                           ->  Seq Scan on sje_d1_4754000 d
                           ->  Hash
                                 ->  Seq Scan on sje_d2_4754004 u2
(12 rows)

SELECT count(1)
FROM sje_d1 d
JOIN sje_d2 u1 ON (d.id = u1.id)
JOIN sje_d2 u2 ON (u1.id = u2.id);
 count
---------------------------------------------------------------------
   101
(1 row)

-- Null-introducing join can have SJE
EXPLAIN (costs off)
SELECT count(*)
FROM sje_d1 d
LEFT JOIN sje_d2 u1 USING (id)
LEFT JOIN sje_d2 u2 USING (id);
                           QUERY PLAN
---------------------------------------------------------------------
 Aggregate
   ->  Custom Scan (Citus Adaptive)
         Task Count: 4
         Tasks Shown: One of 4
         ->  Task
               Node: host=localhost port=xxxxx dbname=regression
               ->  Aggregate
                     ->  Seq Scan on sje_d1_4754000 d
(8 rows)

SELECT count(*)
FROM sje_d1 d
LEFT JOIN sje_d2 u1 USING (id)
LEFT JOIN sje_d2 u2 USING (id);
 count
---------------------------------------------------------------------
   101
(1 row)

-- prepared statement
PREPARE sje_p(int,int) AS
SELECT count(1)
FROM sje_d1 d
JOIN sje_d2 u1 USING (id)
JOIN sje_d2 u2 USING (id)
WHERE d.id BETWEEN $1 AND $2;
EXPLAIN (costs off)
EXECUTE sje_p(10,20);
                                     QUERY PLAN
---------------------------------------------------------------------
 Aggregate
   ->  Custom Scan (Citus Adaptive)
         Task Count: 4
         Tasks Shown: One of 4
         ->  Task
               Node: host=localhost port=xxxxx dbname=regression
               ->  Aggregate
                     ->  Hash Join
                           Hash Cond: (u2.id = d.id)
                           ->  Seq Scan on sje_d2_4754004 u2
                           ->  Hash
                                 ->  Bitmap Heap Scan on sje_d1_4754000 d
                                       Recheck Cond: ((id >= 10) AND (id <= 20))
                                       ->  Bitmap Index Scan on sje_d1_pkey_4754000
                                             Index Cond: ((id >= 10) AND (id <= 20))
(15 rows)

EXECUTE sje_p(10,20);
 count
---------------------------------------------------------------------
    11
(1 row)

-- cte
EXPLAIN (costs off)
WITH z AS (SELECT id FROM sje_d2 WHERE id % 2 = 0)
SELECT count(1)
FROM sje_d1 d
JOIN z USING (id)
JOIN sje_d2 u2 USING (id);
                               QUERY PLAN
---------------------------------------------------------------------
 Aggregate
   ->  Custom Scan (Citus Adaptive)
         Task Count: 4
         Tasks Shown: One of 4
         ->  Task
               Node: host=localhost port=xxxxx dbname=regression
               ->  Aggregate
                     ->  Hash Join
                           Hash Cond: (d.id = u2.id)
                           ->  Seq Scan on sje_d1_4754000 d
                           ->  Hash
                                 ->  Seq Scan on sje_d2_4754004 u2
                                       Filter: ((id % '2'::bigint) = 0)
(13 rows)

WITH z AS (SELECT id FROM sje_d2 WHERE id % 2 = 0)
SELECT count(1)
FROM sje_d1 d
JOIN z USING (id)
JOIN sje_d2 u2 USING (id);
 count
---------------------------------------------------------------------
    51
(1 row)

-- PG18 Feature: JSON functionality - JSON_TABLE has COLUMNS clause for
-- extracting multiple fields from JSON documents.
-- PG18 commit: https://github.com/postgres/postgres/commit/bb766cd
CREATE TABLE pg18_json_test (id serial PRIMARY KEY, data JSON);
INSERT INTO pg18_json_test (data) VALUES
('{ "user": {"name": "Alice", "age": 30, "city": "San Diego"} }'),
('{ "user": {"name": "Bob", "age": 25, "city": "Los Angeles"} }'),
('{ "user": {"name": "Charlie", "age": 35, "city": "Los Angeles"} }'),
('{ "user": {"name": "Diana", "age": 28, "city": "Seattle"} } '),
('{ "user": {"name": "Evan", "age": 40, "city": "Portland"} } '),
('{ "user": {"name": "Ethan", "age": 32, "city": "Seattle"} } '),
('{ "user": {"name": "Fiona", "age": 27, "city": "Seattle"} } '),
('{ "user": {"name": "George", "age": 29, "city": "San Francisco"} } '),
('{ "user": {"name": "Hannah", "age": 33, "city": "Seattle"} } '),
('{ "user": {"name": "Ian", "age": 26, "city": "Portland"} } '),
('{ "user": {"name": "Jane", "age": 38, "city": "San Francisco"} } ');
SELECT jt.name, jt.age  FROM pg18_json_test, JSON_TABLE(
  data,
  '$.user'
  COLUMNS (
    age INT PATH '$.age',
    name TEXT PATH '$.name'
  )
) AS jt
WHERE jt.age between 25 and 35
ORDER BY jt.age, jt.name;
  name   | age
---------------------------------------------------------------------
 Bob     |  25
 Ian     |  26
 Fiona   |  27
 Diana   |  28
 George  |  29
 Alice   |  30
 Ethan   |  32
 Hannah  |  33
 Charlie |  35
(9 rows)

SELECT jt.city, count(1)  FROM pg18_json_test, JSON_TABLE(
  data,
  '$.user'
  COLUMNS (
    city TEXT PATH '$.city'
  )
) AS jt
GROUP BY jt.city
ORDER BY count(1) DESC;
     city      | count
---------------------------------------------------------------------
 Seattle       |     4
 San Francisco |     2
 Portland      |     2
 Los Angeles   |     2
 San Diego     |     1
(5 rows)

-- Make it distributed and repeat the queries
SELECT create_distributed_table('pg18_json_test', 'id');
NOTICE:  Copying data from local table...
NOTICE:  copying the data has completed
DETAIL:  The local data in the table is no longer visible, but is still on disk.
HINT:  To remove the local data, run: SELECT truncate_local_data_after_distributing_table($$pg18_nn.pg18_json_test$$)
 create_distributed_table
---------------------------------------------------------------------

(1 row)

SELECT jt.name, jt.age  FROM pg18_json_test, JSON_TABLE(
  data,
  '$.user'
  COLUMNS (
    age INT PATH '$.age',
    name TEXT PATH '$.name'
  )
) AS jt
WHERE jt.age between 25 and 35
ORDER BY jt.age, jt.name;
  name   | age
---------------------------------------------------------------------
 Bob     |  25
 Ian     |  26
 Fiona   |  27
 Diana   |  28
 George  |  29
 Alice   |  30
 Ethan   |  32
 Hannah  |  33
 Charlie |  35
(9 rows)

SELECT jt.city, count(1)  FROM pg18_json_test, JSON_TABLE(
  data,
  '$.user'
  COLUMNS (
    city TEXT PATH '$.city'
  )
) AS jt
GROUP BY jt.city
ORDER BY count(1) DESC;
     city      | count
---------------------------------------------------------------------
 Seattle       |     4
 Portland      |     2
 Los Angeles   |     2
 San Francisco |     2
 San Diego     |     1
(5 rows)

-- PG18 Feature: WITHOUT OVERLAPS can appear in PRIMARY KEY and UNIQUE constraints.
-- PG18 commit: https://github.com/postgres/postgres/commit/fc0438b4e
CREATE TABLE temporal_rng (
  -- Since we can't depend on having btree_gist here,
  -- use an int4range instead of an int.
  -- (The rangetypes regression test uses the same trick.)
  id int4range,
  valid_at daterange,
  CONSTRAINT temporal_rng_pk PRIMARY KEY (id, valid_at WITHOUT OVERLAPS)
);
SELECT create_distributed_table('temporal_rng', 'id');
 create_distributed_table
---------------------------------------------------------------------

(1 row)

-- okay:
INSERT INTO temporal_rng (id, valid_at) VALUES ('[1,2)', daterange('2018-01-02', '2018-02-03'));
INSERT INTO temporal_rng (id, valid_at) VALUES ('[1,2)', daterange('2018-03-03', '2018-04-04'));
INSERT INTO temporal_rng (id, valid_at) VALUES ('[2,3)', daterange('2018-01-01', '2018-01-05'));
INSERT INTO temporal_rng (id, valid_at) VALUES ('[3,4)', daterange('2018-01-01', NULL));
-- should fail:
INSERT INTO temporal_rng (id, valid_at) VALUES ('[1,2)', daterange('2018-01-01', '2018-01-05'));
ERROR:  conflicting key value violates exclusion constraint "temporal_rng_pk_4754013"
DETAIL:  Key (id, valid_at)=([1,2), [2018-01-01,2018-01-05)) conflicts with existing key (id, valid_at)=([1,2), [2018-01-02,2018-02-03)).
CONTEXT:  while executing command on localhost:xxxxx
-- NULLs are not allowed in the shard key:
INSERT INTO temporal_rng (id, valid_at) VALUES (NULL, daterange('2018-01-01', '2018-01-05'));
ERROR:  cannot perform an INSERT with NULL in the partition column
INSERT INTO temporal_rng (id, valid_at) VALUES ('[3,4)', NULL);
ERROR:  null value in column "valid_at" violates not-null constraint
DETAIL:  Failing row contains ([3,4), null).
CONTEXT:  while executing command on localhost:xxxxx
-- rejects empty:
INSERT INTO temporal_rng (id, valid_at) VALUES ('[3,4)', 'empty');
ERROR:  empty WITHOUT OVERLAPS value found in column "valid_at" in relation "temporal_rng_4754012"
CONTEXT:  while executing command on localhost:xxxxx
SELECT * FROM temporal_rng ORDER BY id, valid_at;
  id   |        valid_at
---------------------------------------------------------------------
 [1,2) | [01-02-2018,02-03-2018)
 [1,2) | [03-03-2018,04-04-2018)
 [2,3) | [01-01-2018,01-05-2018)
 [3,4) | [01-01-2018,)
(4 rows)

-- Repeat with UNIQUE constraint
CREATE TABLE temporal_rng_uq (
  -- Since we can't depend on having btree_gist here,
  -- use an int4range instead of an int.
  id int4range,
  valid_at daterange,
  CONSTRAINT temporal_rng_uq_uk UNIQUE (id, valid_at WITHOUT OVERLAPS)
);
SELECT create_distributed_table('temporal_rng_uq', 'id');
 create_distributed_table
---------------------------------------------------------------------

(1 row)

-- okay:
INSERT INTO temporal_rng_uq (id, valid_at) VALUES ('[1,2)', daterange('2018-01-02', '2018-02-03'));
INSERT INTO temporal_rng_uq (id, valid_at) VALUES ('[1,2)', daterange('2018-03-03', '2018-04-04'));
INSERT INTO temporal_rng_uq (id, valid_at) VALUES ('[2,3)', daterange('2018-01-01', '2018-01-05'));
INSERT INTO temporal_rng_uq (id, valid_at) VALUES ('[3,4)', daterange('2018-01-01', NULL));
-- should fail:
INSERT INTO temporal_rng_uq (id, valid_at) VALUES ('[1,2)', daterange('2018-01-01', '2018-01-05'));
ERROR:  conflicting key value violates exclusion constraint "temporal_rng_uq_uk_4754017"
DETAIL:  Key (id, valid_at)=([1,2), [2018-01-01,2018-01-05)) conflicts with existing key (id, valid_at)=([1,2), [2018-01-02,2018-02-03)).
CONTEXT:  while executing command on localhost:xxxxx
-- NULLs are not allowed in the shard key:
INSERT INTO temporal_rng_uq (id, valid_at) VALUES (NULL, daterange('2018-01-01', '2018-01-05'));
ERROR:  cannot perform an INSERT with NULL in the partition column
INSERT INTO temporal_rng_uq (id, valid_at) VALUES ('[3,4)', NULL);
-- rejects empty:
INSERT INTO temporal_rng_uq (id, valid_at) VALUES ('[3,4)', 'empty');
ERROR:  empty WITHOUT OVERLAPS value found in column "valid_at" in relation "temporal_rng_uq_4754016"
CONTEXT:  while executing command on localhost:xxxxx
SELECT * FROM temporal_rng_uq ORDER BY id, valid_at;
  id   |        valid_at
---------------------------------------------------------------------
 [1,2) | [01-02-2018,02-03-2018)
 [1,2) | [03-03-2018,04-04-2018)
 [2,3) | [01-01-2018,01-05-2018)
 [3,4) | [01-01-2018,)
 [3,4) |
(5 rows)

DROP TABLE temporal_rng CASCADE;
DROP TABLE temporal_rng_uq CASCADE;
-- Repeat the tests with the PRIMARY KEY and UNIQUE constraints added
-- after the table is created and distributed. INSERTs produce the
-- same results as before.
CREATE TABLE temporal_rng (
  -- Since we can't depend on having btree_gist here,
  -- use an int4range instead of an int.
  -- (The rangetypes regression test uses the same trick.)
  id int4range,
  valid_at daterange
);
SELECT create_distributed_table('temporal_rng', 'id');
 create_distributed_table
---------------------------------------------------------------------

(1 row)

-- okay:
INSERT INTO temporal_rng (id, valid_at) VALUES ('[1,2)', daterange('2018-01-02', '2018-02-03'));
INSERT INTO temporal_rng (id, valid_at) VALUES ('[1,2)', daterange('2018-03-03', '2018-04-04'));
INSERT INTO temporal_rng (id, valid_at) VALUES ('[2,3)', daterange('2018-01-01', '2018-01-05'));
INSERT INTO temporal_rng (id, valid_at) VALUES ('[3,4)', daterange('2018-01-01', NULL));
ALTER TABLE temporal_rng
  ADD CONSTRAINT temporal_rng_pk PRIMARY KEY (id, valid_at WITHOUT OVERLAPS);
-- should fail:
INSERT INTO temporal_rng (id, valid_at) VALUES ('[1,2)', daterange('2018-01-01', '2018-01-05'));
ERROR:  conflicting key value violates exclusion constraint "temporal_rng_pk_4754021"
DETAIL:  Key (id, valid_at)=([1,2), [2018-01-01,2018-01-05)) conflicts with existing key (id, valid_at)=([1,2), [2018-01-02,2018-02-03)).
CONTEXT:  while executing command on localhost:xxxxx
-- NULLs are not allowed in the shard key:
INSERT INTO temporal_rng (id, valid_at) VALUES (NULL, daterange('2018-01-01', '2018-01-05'));
ERROR:  cannot perform an INSERT with NULL in the partition column
INSERT INTO temporal_rng (id, valid_at) VALUES ('[3,4)', NULL);
ERROR:  null value in column "valid_at" violates not-null constraint
DETAIL:  Failing row contains ([3,4), null).
CONTEXT:  while executing command on localhost:xxxxx
-- rejects empty:
INSERT INTO temporal_rng (id, valid_at) VALUES ('[3,4)', 'empty');
ERROR:  empty WITHOUT OVERLAPS value found in column "valid_at" in relation "temporal_rng_4754020"
CONTEXT:  while executing command on localhost:xxxxx
SELECT * FROM temporal_rng ORDER BY id, valid_at;
  id   |        valid_at
---------------------------------------------------------------------
 [1,2) | [01-02-2018,02-03-2018)
 [1,2) | [03-03-2018,04-04-2018)
 [2,3) | [01-01-2018,01-05-2018)
 [3,4) | [01-01-2018,)
(4 rows)

-- Repeat with UNIQUE constraint
CREATE TABLE temporal_rng_uq (
  -- Since we can't depend on having btree_gist here,
  -- use an int4range instead of an int.
  id int4range,
  valid_at daterange
);
SELECT create_distributed_table('temporal_rng_uq', 'id');
 create_distributed_table
---------------------------------------------------------------------

(1 row)

-- okay:
INSERT INTO temporal_rng_uq (id, valid_at) VALUES ('[1,2)', daterange('2018-01-02', '2018-02-03'));
INSERT INTO temporal_rng_uq (id, valid_at) VALUES ('[1,2)', daterange('2018-03-03', '2018-04-04'));
INSERT INTO temporal_rng_uq (id, valid_at) VALUES ('[2,3)', daterange('2018-01-01', '2018-01-05'));
INSERT INTO temporal_rng_uq (id, valid_at) VALUES ('[3,4)', daterange('2018-01-01', NULL));
ALTER TABLE temporal_rng_uq
  ADD CONSTRAINT temporal_rng_uq_uk UNIQUE (id, valid_at WITHOUT OVERLAPS);
-- should fail:
INSERT INTO temporal_rng_uq (id, valid_at) VALUES ('[1,2)', daterange('2018-01-01', '2018-01-05'));
ERROR:  conflicting key value violates exclusion constraint "temporal_rng_uq_uk_4754025"
DETAIL:  Key (id, valid_at)=([1,2), [2018-01-01,2018-01-05)) conflicts with existing key (id, valid_at)=([1,2), [2018-01-02,2018-02-03)).
CONTEXT:  while executing command on localhost:xxxxx
-- NULLs are not allowed in the shard key:
INSERT INTO temporal_rng_uq (id, valid_at) VALUES (NULL, daterange('2018-01-01', '2018-01-05'));
ERROR:  cannot perform an INSERT with NULL in the partition column
INSERT INTO temporal_rng_uq (id, valid_at) VALUES ('[3,4)', NULL);
-- rejects empty:
INSERT INTO temporal_rng_uq (id, valid_at) VALUES ('[3,4)', 'empty');
ERROR:  empty WITHOUT OVERLAPS value found in column "valid_at" in relation "temporal_rng_uq_4754024"
CONTEXT:  while executing command on localhost:xxxxx
SELECT * FROM temporal_rng_uq ORDER BY id, valid_at;
  id   |        valid_at
---------------------------------------------------------------------
 [1,2) | [01-02-2018,02-03-2018)
 [1,2) | [03-03-2018,04-04-2018)
 [2,3) | [01-01-2018,01-05-2018)
 [3,4) | [01-01-2018,)
 [3,4) |
(5 rows)

-- PG18 Feature: RETURNING old and new values in DML statements
-- PG18 commit: https://github.com/postgres/postgres/commit/80feb727c
CREATE TABLE users (id SERIAL PRIMARY KEY, email text, category int);
INSERT INTO users (email, category) SELECT 'xxx@foo.com', i % 10 from generate_series (1,100) t(i);
SELECT create_distributed_table('users','id');
NOTICE:  Copying data from local table...
NOTICE:  copying the data has completed
DETAIL:  The local data in the table is no longer visible, but is still on disk.
HINT:  To remove the local data, run: SELECT truncate_local_data_after_distributing_table($$pg18_nn.users$$)
 create_distributed_table
---------------------------------------------------------------------

(1 row)

UPDATE users SET email = 'colm@planet.com' WHERE id = 1
	RETURNING OLD.email AS previous_email,
		  NEW.email AS current_email;
 previous_email |  current_email
---------------------------------------------------------------------
 xxx@foo.com    | colm@planet.com
(1 row)

SELECT * FROM users WHERE id = 1
ORDER BY id;
 id |      email      | category
---------------------------------------------------------------------
  1 | colm@planet.com |        1
(1 row)

UPDATE users SET email = 'tim@arctic.net' WHERE id = 22
  RETURNING OLD.email AS previous_email,
      NEW.email AS current_email;
 previous_email | current_email
---------------------------------------------------------------------
 xxx@foo.com    | tim@arctic.net
(1 row)

UPDATE users SET email = 'john@farm.ie' WHERE id = 33
  RETURNING OLD.email AS previous_email,
      NEW.email AS current_email;
 previous_email | current_email
---------------------------------------------------------------------
 xxx@foo.com    | john@farm.ie
(1 row)

SELECT * FROM users WHERE id = 22
ORDER BY id;
 id |     email      | category
---------------------------------------------------------------------
 22 | tim@arctic.net |        2
(1 row)

SELECT * FROM users
WHERE email not like 'xxx@%'
ORDER BY id;
 id |      email      | category
---------------------------------------------------------------------
  1 | colm@planet.com |        1
 22 | tim@arctic.net  |        2
 33 | john@farm.ie    |        3
(3 rows)

-- NULL values creep into the email column..
INSERT INTO users (email, category) VALUES (null, 5)
  RETURNING OLD.email AS previous_email,
      NEW.email AS current_email;
 previous_email | current_email
---------------------------------------------------------------------
                |
(1 row)

UPDATE users SET email = NULL WHERE id = 79
  RETURNING OLD.email AS previous_email,
      NEW.email AS current_email;
 previous_email | current_email
---------------------------------------------------------------------
 xxx@foo.com    |
(1 row)

-- Now add a NOT NULL constraint on email, but do
-- not apply it to existing rows yet.
ALTER TABLE users
ADD CONSTRAINT users_email_not_null
CHECK (email IS NOT NULL) NOT VALID;
UPDATE users SET email = NULL WHERE id = 50
  RETURNING OLD.email AS previous_email,
      NEW.email AS current_email;
ERROR:  new row for relation "users_4754028" violates check constraint "users_email_not_null_4754028"
DETAIL:  Failing row contains (50, null, 0).
CONTEXT:  while executing command on localhost:xxxxx
-- Validation should fail due to existing NULLs
ALTER TABLE users VALIDATE CONSTRAINT users_email_not_null;
ERROR:  check constraint "users_email_not_null_4754028" of relation "users_4754028" is violated by some row
CONTEXT:  while executing command on localhost:xxxxx
-- Fix NULL emails to a default value
UPDATE users SET email = 'xxx@foo.com' WHERE email IS NULL
  RETURNING OLD.email AS previous_email,
      NEW.email AS current_email;
 previous_email | current_email
---------------------------------------------------------------------
                | xxx@foo.com
                | xxx@foo.com
(2 rows)

-- Validation should now succeed
ALTER TABLE users VALIDATE CONSTRAINT users_email_not_null;
-- And prevent future NULLs
INSERT INTO users (email, category) VALUES (null, 10)
  RETURNING OLD.email AS previous_email,
      NEW.email AS current_email;
ERROR:  new row for relation "users_4754030" violates check constraint "users_email_not_null_4754030"
DETAIL:  Failing row contains (102, null, 10).
CONTEXT:  while executing command on localhost:xxxxx
-- PG18 Feature: support for LIKE in CREATE FOREIGN TABLE
-- PG18 commit: https://github.com/postgres/postgres/commit/302cf1575
SET citus.use_citus_managed_tables TO ON;
CREATE EXTENSION postgres_fdw;
CREATE SERVER foreign_server
        FOREIGN DATA WRAPPER postgres_fdw
        OPTIONS (host 'localhost', port :'master_port', dbname 'regression');
CREATE USER MAPPING FOR CURRENT_USER
        SERVER foreign_server
        OPTIONS (user 'postgres');
CREATE TABLE ctl_table(a int PRIMARY KEY,
  b varchar COMPRESSION pglz,
  c int GENERATED ALWAYS AS (a * 2) STORED,
  d bigint GENERATED ALWAYS AS IDENTITY,
  e int DEFAULT 1);
CREATE INDEX ctl_table_ab_key ON ctl_table(a, b);
COMMENT ON COLUMN ctl_table.b IS 'Column b';
CREATE STATISTICS ctl_table_stat ON a,b FROM ctl_table;
INSERT INTO ctl_table VALUES (1, 'first'), (2, 'second'), (3, 'third'), (4, 'fourth');
-- Test EXCLUDING ALL
CREATE FOREIGN TABLE ctl_ft1(LIKE ctl_table EXCLUDING ALL)
  SERVER foreign_server
        OPTIONS (schema_name 'pg18_nn', table_name 'ctl_table');
-- Test INCLUDING ALL
CREATE FOREIGN TABLE ctl_ft2(LIKE ctl_table INCLUDING ALL)
  SERVER foreign_server
        OPTIONS (schema_name 'pg18_nn', table_name 'ctl_table');
-- check that the foreign tables are citus local table
SELECT partmethod, repmodel FROM pg_dist_partition
WHERE logicalrelid IN ('ctl_ft1'::regclass, 'ctl_ft2'::regclass) ORDER BY logicalrelid;
 partmethod | repmodel
---------------------------------------------------------------------
 n          | s
 n          | s
(2 rows)

-- we can query the foreign tables
EXPLAIN (VERBOSE, COSTS OFF)
SELECT * FROM ctl_ft1 ORDER BY a;
                                           QUERY PLAN
---------------------------------------------------------------------
 Custom Scan (Citus Adaptive)
   Output: remote_scan.a, remote_scan.b, remote_scan.c, remote_scan.d, remote_scan.e
   Task Count: 1
   Tasks Shown: All
   ->  Task
         Query: SELECT a, b, c, d, e FROM pg18_nn.ctl_ft1_4754033 ctl_ft1 ORDER BY a
         Node: host=localhost port=xxxxx dbname=regression
         ->  Foreign Scan on pg18_nn.ctl_ft1_4754033 ctl_ft1
               Output: a, b, c, d, e
               Remote SQL: SELECT a, b, c, d, e FROM pg18_nn.ctl_table ORDER BY a ASC NULLS LAST
(10 rows)

SELECT * FROM ctl_ft1 ORDER BY a;
 a |   b    | c | d | e
---------------------------------------------------------------------
 1 | first  | 2 | 1 | 1
 2 | second | 4 | 2 | 1
 3 | third  | 6 | 3 | 1
 4 | fourth | 8 | 4 | 1
(4 rows)

EXPLAIN (VERBOSE, COSTS OFF)
SELECT * FROM ctl_ft2 ORDER BY a;
                                           QUERY PLAN
---------------------------------------------------------------------
 Custom Scan (Citus Adaptive)
   Output: remote_scan.a, remote_scan.b, remote_scan.c, remote_scan.d, remote_scan.e
   Task Count: 1
   Tasks Shown: All
   ->  Task
         Query: SELECT a, b, c, d, e FROM pg18_nn.ctl_ft2_4754034 ctl_ft2 ORDER BY a
         Node: host=localhost port=xxxxx dbname=regression
         ->  Foreign Scan on pg18_nn.ctl_ft2_4754034 ctl_ft2
               Output: a, b, c, d, e
               Remote SQL: SELECT a, b, c, d, e FROM pg18_nn.ctl_table ORDER BY a ASC NULLS LAST
(10 rows)

SELECT * FROM ctl_ft2 ORDER BY a;
 a |   b    | c | d | e
---------------------------------------------------------------------
 1 | first  | 2 | 1 | 1
 2 | second | 4 | 2 | 1
 3 | third  | 6 | 3 | 1
 4 | fourth | 8 | 4 | 1
(4 rows)

-- Clean up foreign table test
RESET citus.use_citus_managed_tables;
SELECT undistribute_table('ctl_ft1');
NOTICE:  creating a new table for pg18_nn.ctl_ft1
NOTICE:  dropping the old pg18_nn.ctl_ft1
NOTICE:  renaming the new table to pg18_nn.ctl_ft1
 undistribute_table
---------------------------------------------------------------------

(1 row)

SELECT undistribute_table('ctl_ft2');
NOTICE:  creating a new table for pg18_nn.ctl_ft2
NOTICE:  dropping the old pg18_nn.ctl_ft2
NOTICE:  renaming the new table to pg18_nn.ctl_ft2
 undistribute_table
---------------------------------------------------------------------

(1 row)

DROP SERVER foreign_server CASCADE;
NOTICE:  drop cascades to 3 other objects
DETAIL:  drop cascades to user mapping for postgres on server foreign_server
drop cascades to foreign table ctl_ft1
drop cascades to foreign table ctl_ft2
-- PG18 Feature: PERIOD clause in foreign key constraint definitions.
-- PG18 commit: https://github.com/postgres/postgres/commit/89f908a6d
-- This test verifies that the PG18 tests apply to Citus tables
CREATE EXTENSION btree_gist; -- needed for range type indexing
CREATE TABLE temporal_test (
  id integer,
  valid_at daterange,
  CONSTRAINT temporal_test_pk PRIMARY KEY (id, valid_at WITHOUT OVERLAPS)
);
SET citus.shard_count TO 4;
SELECT create_reference_table( 'temporal_test');
 create_reference_table
---------------------------------------------------------------------

(1 row)

INSERT INTO temporal_test VALUES
  (1, '[2000-01-01,2001-01-01)');
-- same key, doesn't overlap:
INSERT INTO temporal_test VALUES
  (1, '[2001-01-01,2002-01-01)');
-- overlaps but different key:
INSERT INTO temporal_test VALUES
  (2, '[2000-01-01,2001-01-01)');
-- should fail:
INSERT INTO temporal_test VALUES
  (1, '[2000-06-01,2001-01-01)');
ERROR:  conflicting key value violates exclusion constraint "temporal_test_pk_4754035"
DETAIL:  Key (id, valid_at)=(1, [2000-06-01,2001-01-01)) conflicts with existing key (id, valid_at)=(1, [2000-01-01,2001-01-01)).
CONTEXT:  while executing command on localhost:xxxxx
-- Required for foreign key constraint on distributed table
SET citus.shard_replication_factor TO 1;
-- Create and distribute a table with temporal foreign key constraints
CREATE TABLE temporal_fk_rng2rng (
  id integer,
  valid_at daterange,
  parent_id integer,
  CONSTRAINT temporal_fk_rng2rng_pk PRIMARY KEY (id, valid_at WITHOUT OVERLAPS)
);
SELECT create_distributed_table( 'temporal_fk_rng2rng', 'id');
 create_distributed_table
---------------------------------------------------------------------

(1 row)

--
-- Add foreign key constraint with PERIOD clause
-- This is propagated to worker shards
ALTER TABLE temporal_fk_rng2rng
  ADD CONSTRAINT temporal_fk_rng2rng_fk FOREIGN KEY (parent_id, PERIOD valid_at)
    REFERENCES temporal_test (id, PERIOD valid_at);
INSERT INTO temporal_fk_rng2rng VALUES
  (1, '[2000-01-01,2001-01-01)', 1);
-- okay spanning two parent records:
INSERT INTO temporal_fk_rng2rng VALUES
  (2, '[2000-01-01,2002-01-01)', 1);
-- key is missing
INSERT INTO temporal_fk_rng2rng VALUES
  (3, '[2000-01-01,2001-01-01)', 3);
ERROR:  insert or update on table "temporal_fk_rng2rng_4754037" violates foreign key constraint "temporal_fk_rng2rng_fk_4754037"
DETAIL:  Key (parent_id, valid_at)=(3, [2000-01-01,2001-01-01)) is not present in table "temporal_test_4754035".
CONTEXT:  while executing command on localhost:xxxxx
-- key exist but is outside range
INSERT INTO temporal_fk_rng2rng VALUES
  (4, '[2001-01-01,2002-01-01)', 2);
ERROR:  insert or update on table "temporal_fk_rng2rng_4754037" violates foreign key constraint "temporal_fk_rng2rng_fk_4754037"
DETAIL:  Key (parent_id, valid_at)=(2, [2001-01-01,2002-01-01)) is not present in table "temporal_test_4754035".
CONTEXT:  while executing command on localhost:xxxxx
-- key exist but is partly outside range
INSERT INTO temporal_fk_rng2rng VALUES
  (5, '[2000-01-01,2002-01-01)', 2);
ERROR:  insert or update on table "temporal_fk_rng2rng_4754036" violates foreign key constraint "temporal_fk_rng2rng_fk_4754036"
DETAIL:  Key (parent_id, valid_at)=(2, [2000-01-01,2002-01-01)) is not present in table "temporal_test_4754035".
CONTEXT:  while executing command on localhost:xxxxx
-- PG18 Feature: REJECT_LIMIT option for COPY errors
-- PG18 commit: https://github.com/postgres/postgres/commit/4ac2a9bec
-- Citus does not support COPY with ON_ERROR so just need to
-- ensure the appropriate error is returned.
CREATE TABLE check_ign_err (n int, m int[], k int);
SELECT create_distributed_table('check_ign_err', 'n');
 create_distributed_table
---------------------------------------------------------------------

(1 row)

COPY check_ign_err FROM STDIN WITH (on_error stop, reject_limit 5);
ERROR:  Citus does not support COPY FROM with ON_ERROR option.
COPY check_ign_err FROM STDIN WITH (ON_ERROR ignore, REJECT_LIMIT 100);
ERROR:  Citus does not support COPY FROM with ON_ERROR option.
COPY check_ign_err FROM STDIN WITH (on_error ignore, log_verbosity verbose, reject_limit 50);
ERROR:  Citus does not support COPY FROM with ON_ERROR option.
COPY check_ign_err FROM STDIN WITH (reject_limt 77, log_verbosity verbose, on_error ignore);
ERROR:  Citus does not support COPY FROM with ON_ERROR option.
-- PG requires on_error when reject_limit is specified
COPY check_ign_err FROM STDIN WITH (reject_limit 100);
ERROR:  COPY REJECT_LIMIT requires ON_ERROR to be set to IGNORE
-- PG18 Feature: COPY TABLE TO on a materialized view
-- PG18 commit: https://github.com/postgres/postgres/commit/534874fac
-- This does not work in Citus as a materialized view cannot be distributed.
-- So just verify that the appropriate error is raised.
CREATE MATERIALIZED VIEW copytest_mv AS
  SELECT i as id, md5(i::text) as hashval
  FROM generate_series(1,100) i;
-- Attempting to make it distributed should fail with appropriate error as
-- Citus does not yet support materialized views.
SELECT create_distributed_table('copytest_mv', 'id');
ERROR:  copytest_mv is not a regular, foreign or partitioned table
-- After that, any command on the materialized view is outside Citus support.
-- PG18: verify publish_generated_columns is preserved for distributed tables
-- https://github.com/postgres/postgres/commit/7054186c4
\c - - - :master_port
CREATE SCHEMA pg18_publication;
SET search_path TO pg18_publication;
-- table with a stored generated column
CREATE TABLE gen_pub_tab (
    id int primary key,
    a  int,
    b  int GENERATED ALWAYS AS (a * 10) STORED
);
-- make it distributed so CREATE PUBLICATION goes through Citus metadata/DDL path
SELECT create_distributed_table('gen_pub_tab', 'id', colocate_with := 'none');
 create_distributed_table
---------------------------------------------------------------------

(1 row)

-- publication using the new PG18 option: stored
CREATE PUBLICATION pub_gen_cols_stored
    FOR TABLE gen_pub_tab
    WITH (publish = 'insert, update', publish_generated_columns = stored);
-- second publication explicitly using "none" for completeness
CREATE PUBLICATION pub_gen_cols_none
    FOR TABLE gen_pub_tab
    WITH (publish = 'insert, update', publish_generated_columns = none);
-- On coordinator: pubgencols must be 's' and 'n' respectively
SELECT pubname, pubgencols
FROM pg_publication
WHERE pubname IN ('pub_gen_cols_stored', 'pub_gen_cols_none')
ORDER BY pubname;
       pubname       | pubgencols
---------------------------------------------------------------------
 pub_gen_cols_none   | n
 pub_gen_cols_stored | s
(2 rows)

-- On worker 1: both publications must exist and keep pubgencols in sync
\c - - - :worker_1_port
SET search_path TO pg18_publication;
SELECT pubname, pubgencols
FROM pg_publication
WHERE pubname IN ('pub_gen_cols_stored', 'pub_gen_cols_none')
ORDER BY pubname;
       pubname       | pubgencols
---------------------------------------------------------------------
 pub_gen_cols_none   | n
 pub_gen_cols_stored | s
(2 rows)

-- On worker 2: same check
\c - - - :worker_2_port
SET search_path TO pg18_publication;
SELECT pubname, pubgencols
FROM pg_publication
WHERE pubname IN ('pub_gen_cols_stored', 'pub_gen_cols_none')
ORDER BY pubname;
       pubname       | pubgencols
---------------------------------------------------------------------
 pub_gen_cols_none   | n
 pub_gen_cols_stored | s
(2 rows)

-- Now verify ALTER PUBLICATION .. SET (publish_generated_columns = none)
-- propagates to workers as well.
\c - - - :master_port
SET search_path TO pg18_publication;
ALTER PUBLICATION pub_gen_cols_stored
    SET (publish_generated_columns = none);
-- coordinator: both publications should now have pubgencols = 'n'
SELECT pubname, pubgencols
FROM pg_publication
WHERE pubname IN ('pub_gen_cols_stored', 'pub_gen_cols_none')
ORDER BY pubname;
       pubname       | pubgencols
---------------------------------------------------------------------
 pub_gen_cols_none   | n
 pub_gen_cols_stored | n
(2 rows)

-- worker 1: pubgencols must match coordinator
\c - - - :worker_1_port
SET search_path TO pg18_publication;
SELECT pubname, pubgencols
FROM pg_publication
WHERE pubname IN ('pub_gen_cols_stored', 'pub_gen_cols_none')
ORDER BY pubname;
       pubname       | pubgencols
---------------------------------------------------------------------
 pub_gen_cols_none   | n
 pub_gen_cols_stored | n
(2 rows)

-- worker 2: same check
\c - - - :worker_2_port
SET search_path TO pg18_publication;
SELECT pubname, pubgencols
FROM pg_publication
WHERE pubname IN ('pub_gen_cols_stored', 'pub_gen_cols_none')
ORDER BY pubname;
       pubname       | pubgencols
---------------------------------------------------------------------
 pub_gen_cols_none   | n
 pub_gen_cols_stored | n
(2 rows)

-- Column list precedence test: Citus must preserve both prattrs and pubgencols
\c - - - :master_port
SET search_path TO pg18_publication;
-- Case 1: column list explicitly includes the generated column, flag = none
CREATE PUBLICATION pub_gen_cols_list_includes_b
    FOR TABLE gen_pub_tab (id, a, b)
    WITH (publish_generated_columns = none);
-- Case 2: column list excludes the generated column, flag = stored
CREATE PUBLICATION pub_gen_cols_list_excludes_b
    FOR TABLE gen_pub_tab (id, a)
    WITH (publish_generated_columns = stored);
-- Helper: show pubname, pubgencols, and column list (prattrs) for gen_pub_tab
SELECT p.pubname,
       p.pubgencols,
       r.prattrs
FROM pg_publication p
JOIN pg_publication_rel r ON p.oid = r.prpubid
JOIN pg_class c ON c.oid = r.prrelid
WHERE p.pubname IN ('pub_gen_cols_list_includes_b',
                    'pub_gen_cols_list_excludes_b')
  AND c.relname = 'gen_pub_tab'
ORDER BY p.pubname;
           pubname            | pubgencols | prattrs
---------------------------------------------------------------------
 pub_gen_cols_list_excludes_b | s          | 1 2
 pub_gen_cols_list_includes_b | n          | 1 2 3
(2 rows)

-- worker 1: must see the same pubgencols + prattrs
\c - - - :worker_1_port
SET search_path TO pg18_publication;
SELECT p.pubname,
       p.pubgencols,
       r.prattrs
FROM pg_publication p
JOIN pg_publication_rel r ON p.oid = r.prpubid
JOIN pg_class c ON c.oid = r.prrelid
WHERE p.pubname IN ('pub_gen_cols_list_includes_b',
                    'pub_gen_cols_list_excludes_b')
  AND c.relname = 'gen_pub_tab'
ORDER BY p.pubname;
           pubname            | pubgencols | prattrs
---------------------------------------------------------------------
 pub_gen_cols_list_excludes_b | s          | 1 2
 pub_gen_cols_list_includes_b | n          | 1 2 3
(2 rows)

-- worker 2: same check
\c - - - :worker_2_port
SET search_path TO pg18_publication;
SELECT p.pubname,
       p.pubgencols,
       r.prattrs
FROM pg_publication p
JOIN pg_publication_rel r ON p.oid = r.prpubid
JOIN pg_class c ON c.oid = r.prrelid
WHERE p.pubname IN ('pub_gen_cols_list_includes_b',
                    'pub_gen_cols_list_excludes_b')
  AND c.relname = 'gen_pub_tab'
ORDER BY p.pubname;
           pubname            | pubgencols | prattrs
---------------------------------------------------------------------
 pub_gen_cols_list_excludes_b | s          | 1 2
 pub_gen_cols_list_includes_b | n          | 1 2 3
(2 rows)

-- back to coordinator for subsequent tests / cleanup
\c - - - :master_port
SET search_path TO pg18_publication;
DROP PUBLICATION pub_gen_cols_stored;
DROP PUBLICATION pub_gen_cols_none;
DROP PUBLICATION pub_gen_cols_list_includes_b;
DROP PUBLICATION pub_gen_cols_list_excludes_b;
DROP SCHEMA pg18_publication CASCADE;
NOTICE:  drop cascades to table gen_pub_tab
SET search_path TO pg18_nn;
-- END: PG18: verify publish_generated_columns is preserved for distributed tables
-- PG18 Feature: FOREIGN KEY constraints can be specified as NOT ENFORCED
-- PG18 commit: https://github.com/postgres/postgres/commit/eec0040c4
CREATE TABLE customers(
   customer_id INT GENERATED ALWAYS AS IDENTITY,
   customer_name VARCHAR(255) NOT NULL,
   PRIMARY KEY(customer_id)
);
SET citus.shard_replication_factor TO 1;
SELECT create_distributed_table('customers', 'customer_id');
 create_distributed_table
---------------------------------------------------------------------

(1 row)

CREATE TABLE contacts(
   contact_id INT GENERATED ALWAYS AS IDENTITY,
   customer_id INT,
   contact_name VARCHAR(255) NOT NULL,
   phone VARCHAR(15),
   email VARCHAR(100),
   CONSTRAINT fk_customer
      FOREIGN KEY(customer_id)
	  REFERENCES customers(customer_id)
	  ON DELETE CASCADE NOT ENFORCED
);
-- The foreign key constraint is propagated to worker nodes.
SELECT create_distributed_table('contacts', 'customer_id');
 create_distributed_table
---------------------------------------------------------------------

(1 row)

SELECT pg_get_constraintdef(oid, true) AS "Definition" FROM  pg_constraint
WHERE conrelid = 'contacts'::regclass AND conname = 'fk_customer';
                                         Definition
---------------------------------------------------------------------
 FOREIGN KEY (customer_id) REFERENCES customers(customer_id) ON DELETE CASCADE NOT ENFORCED
(1 row)

INSERT INTO customers(customer_name)
VALUES('BlueBird Inc'),
      ('Dolphin LLC');
INSERT INTO contacts(customer_id, contact_name, phone, email)
VALUES(1,'John Doe','(408)-111-1234','john.doe@example.com'),
      (1,'Jane Doe','(408)-111-1235','jane.doe@example.com'),
      (2,'David Wright','(408)-222-1234','david.wright@example.com');
DELETE FROM customers WHERE customer_name = 'Dolphin LLC';
-- After deleting 'Dolphin LLC' from customers, the corresponding contact
-- 'David Wright' is not deleted from contacts due to the NOT ENFORCED.
SELECT * FROM contacts ORDER BY contact_id;
 contact_id | customer_id | contact_name |     phone      |          email
---------------------------------------------------------------------
          1 |           1 | John Doe     | (408)-111-1234 | john.doe@example.com
          2 |           1 | Jane Doe     | (408)-111-1235 | jane.doe@example.com
          3 |           2 | David Wright | (408)-222-1234 | david.wright@example.com
(3 rows)

-- Test that ALTER TABLE .. ADD CONSTRAINT .. FOREIGN KEY .. NOT ENFORCED
-- is propagated to worker nodes. First drop the foreign key:
ALTER TABLE contacts DROP CONSTRAINT fk_customer;
SELECT pg_get_constraintdef(oid, true) AS "Definition" FROM  pg_constraint
WHERE conrelid = 'contacts'::regclass AND conname = 'fk_customer';
 Definition
---------------------------------------------------------------------
(0 rows)

-- Now add the foreign key constraint back with NOT ENFORCED.
ALTER TABLE contacts ADD CONSTRAINT fk_customer
     FOREIGN KEY(customer_id)
     REFERENCES customers(customer_id)
     ON DELETE CASCADE NOT ENFORCED;
-- The foreign key is propagated to worker nodes.
SELECT pg_get_constraintdef(oid, true) AS "Definition" FROM  pg_constraint
WHERE conrelid = 'contacts'::regclass AND conname = 'fk_customer';
                                         Definition
---------------------------------------------------------------------
 FOREIGN KEY (customer_id) REFERENCES customers(customer_id) ON DELETE CASCADE NOT ENFORCED
(1 row)

DELETE FROM customers WHERE customer_name = 'BlueBird Inc';
-- The customers table is now empty but the contacts table still has
-- the contacts due to the NOT ENFORCED foreign key.
SELECT * FROM customers ORDER BY customer_id;
 customer_id | customer_name
---------------------------------------------------------------------
(0 rows)

SELECT * FROM contacts ORDER BY contact_id;
 contact_id | customer_id | contact_name |     phone      |          email
---------------------------------------------------------------------
          1 |           1 | John Doe     | (408)-111-1234 | john.doe@example.com
          2 |           1 | Jane Doe     | (408)-111-1235 | jane.doe@example.com
          3 |           2 | David Wright | (408)-222-1234 | david.wright@example.com
(3 rows)

-- ALTER TABLE .. ALTER CONSTRAINT is not supported in Citus,
-- so the following command should fail
ALTER TABLE contacts ALTER CONSTRAINT fk_customer ENFORCED;
ERROR:  alter table command is currently unsupported
DETAIL:  Only ADD|DROP COLUMN, SET|DROP NOT NULL, SET|DROP DEFAULT, ADD|DROP|VALIDATE CONSTRAINT, SET (), RESET (), ENABLE|DISABLE|NO FORCE|FORCE ROW LEVEL SECURITY, ATTACH|DETACH PARTITION and TYPE subcommands are supported.
-- PG18 Feature: ENFORCED / NOT ENFORCED check constraints
-- PG18 commit: https://github.com/postgres/postgres/commit/ca87c415e
-- In Citus, CHECK constraints are propagated on promoting a postgres table
-- to a citus table, on adding a new CHECK constraint to a citus table, and
-- on adding a node to a citus cluster. Postgres does not support altering a
-- check constraint's enforcement status, so Citus does not either.
CREATE TABLE NE_CHECK_TBL (x int, y int,
	CONSTRAINT CHECK_X CHECK (x > 3) NOT ENFORCED,
  CONSTRAINT CHECK_Y CHECK (y < 20) ENFORCED
);
SET citus.next_shard_id TO 4754044;
SELECT create_distributed_table('ne_check_tbl', 'x');
 create_distributed_table
---------------------------------------------------------------------

(1 row)

-- CHECK_X is NOT ENFORCED, so these inserts should succeed
INSERT INTO NE_CHECK_TBL (x) VALUES (5), (4), (3), (2), (6), (1);
SELECT x FROM NE_CHECK_TBL ORDER BY x;
 x
---------------------------------------------------------------------
 1
 2
 3
 4
 5
 6
(6 rows)

-- CHECK_Y is ENFORCED, so this insert should fail
INSERT INTO NE_CHECK_TBL (x, y) VALUES (1, 15), (2, 25), (3, 10), (4, 30);
ERROR:  new row for relation "ne_check_tbl_4754045" violates check constraint "check_y"
DETAIL:  Failing row contains (4, 30).
CONTEXT:  while executing command on localhost:xxxxx
-- Test adding new constraints with enforcement status
ALTER TABLE NE_CHECK_TBL
  ADD CONSTRAINT CHECK_Y2 CHECK (y > 10) NOT ENFORCED;
-- CHECK_Y2 is NOT ENFORCED, so these inserts should succeed
INSERT INTO NE_CHECK_TBL (x, y) VALUES (1, 8), (2, 9), (3, 10), (4, 11);
SELECT x, y FROM NE_CHECK_TBL ORDER BY x, y;
 x | y
---------------------------------------------------------------------
 1 |  8
 1 |
 2 |  9
 2 |
 3 | 10
 3 |
 4 | 11
 4 |
 5 |
 6 |
(10 rows)

ALTER TABLE NE_CHECK_TBL
  ADD CONSTRAINT CHECK_X2 CHECK (x < 10) ENFORCED;
-- CHECK_X2 is ENFORCED, so these inserts should fail
INSERT INTO NE_CHECK_TBL (x) VALUES (5), (15), (8), (12);
ERROR:  new row for relation "ne_check_tbl_4754044" violates check constraint "check_x2_4754044"
DETAIL:  Failing row contains (15, null).
CONTEXT:  while executing command on localhost:xxxxx
-- PG18 Feature: Generated Virtual Columns
-- PG18 commit: https://github.com/postgres/postgres/commit/83ea6c540
-- Verify that generated virtual columns are supported on distributed tables.
CREATE TABLE v_reading (
    celsius DECIMAL(5,2),
    farenheit DECIMAL(6, 2) GENERATED ALWAYS AS (celsius * 9/5 + 32) VIRTUAL,
    created_at TIMESTAMPTZ DEFAULT now(),
    device_id INT
);
-- Cannot distribute on a generated column (#4616) applies
-- to VIRTUAL columns.
SELECT create_distributed_table('v_reading', 'farenheit');
ERROR:  cannot distribute relation: v_reading
DETAIL:  Distribution column must not use GENERATED ALWAYS AS (...) VIRTUAL.
SELECT create_distributed_table('v_reading', 'device_id');
 create_distributed_table
---------------------------------------------------------------------

(1 row)

INSERT INTO v_reading (celsius, device_id) VALUES (0, 1), (100, 1), (37.5, 2), (25, 2), (-40, 3);
SELECT device_id, celsius, farenheit FROM v_reading ORDER BY device_id;
 device_id | celsius | farenheit
---------------------------------------------------------------------
         1 |    0.00 |     32.00
         1 |  100.00 |    212.00
         2 |   37.50 |     99.50
         2 |   25.00 |     77.00
         3 |  -40.00 |    -40.00
(5 rows)

ALTER TABLE v_reading ADD COLUMN kelvin DECIMAL(6, 2) GENERATED ALWAYS AS (celsius +  273.15) VIRTUAL;
SELECT device_id, celsius, kelvin FROM v_reading ORDER BY device_id, celsius;
 device_id | celsius | kelvin
---------------------------------------------------------------------
         1 |    0.00 | 273.15
         1 |  100.00 | 373.15
         2 |   25.00 | 298.15
         2 |   37.50 | 310.65
         3 |  -40.00 | 233.15
(5 rows)

-- Show all columns that are generated
  SELECT s.relname, a.attname, a.attgenerated
  FROM pg_class s
  JOIN pg_attribute a ON a.attrelid=s.oid
  WHERE s.relname LIKE 'v_reading%' and attgenerated::int != 0
  ORDER BY 1,2;
  relname  |  attname  | attgenerated
---------------------------------------------------------------------
 v_reading | farenheit | v
 v_reading | kelvin    | v
(2 rows)

-- Generated columns are virtual by default - repeat the test without VIRTUAL keyword
CREATE TABLE d_reading (
    celsius DECIMAL(5,2),
    farenheit DECIMAL(6, 2) GENERATED ALWAYS AS (celsius * 9/5 + 32),
    created_at TIMESTAMPTZ DEFAULT now(),
    device_id INT
);
SELECT create_distributed_table('d_reading', 'farenheit');
ERROR:  cannot distribute relation: d_reading
DETAIL:  Distribution column must not use GENERATED ALWAYS AS (...) VIRTUAL.
SELECT create_distributed_table('d_reading', 'device_id');
 create_distributed_table
---------------------------------------------------------------------

(1 row)

INSERT INTO d_reading (celsius, device_id) VALUES (0, 1), (100, 1), (37.5, 2), (25, 2), (-40, 3);
SELECT device_id, celsius, farenheit FROM d_reading ORDER BY device_id;
 device_id | celsius | farenheit
---------------------------------------------------------------------
         1 |    0.00 |     32.00
         1 |  100.00 |    212.00
         2 |   37.50 |     99.50
         2 |   25.00 |     77.00
         3 |  -40.00 |    -40.00
(5 rows)

ALTER TABLE d_reading ADD COLUMN kelvin DECIMAL(6, 2) GENERATED ALWAYS AS (celsius +  273.15) VIRTUAL;
SELECT device_id, celsius, kelvin FROM d_reading ORDER BY device_id, celsius;
 device_id | celsius | kelvin
---------------------------------------------------------------------
         1 |    0.00 | 273.15
         1 |  100.00 | 373.15
         2 |   25.00 | 298.15
         2 |   37.50 | 310.65
         3 |  -40.00 | 233.15
(5 rows)

-- Show all columns that are generated
  SELECT s.relname, a.attname, a.attgenerated
  FROM pg_class s
  JOIN pg_attribute a ON a.attrelid=s.oid
  WHERE s.relname LIKE 'd_reading%' and attgenerated::int != 0
  ORDER BY 1,2;
  relname  |  attname  | attgenerated
---------------------------------------------------------------------
 d_reading | farenheit | v
 d_reading | kelvin    | v
(2 rows)

-- COPY implementation needs to handle GENERATED ALWAYS AS (...) VIRTUAL columns.
\COPY d_reading FROM STDIN WITH DELIMITER ','
SELECT device_id, count(device_id) as count, round(avg(celsius), 2) as avg, min(farenheit), max(farenheit)
FROM d_reading
GROUP BY device_id
ORDER BY count DESC;
 device_id | count |  avg   |  min   |  max
---------------------------------------------------------------------
         1 |    12 |  20.00 |  32.00 | 212.00
         5 |    10 |  13.20 |  33.80 |  73.40
         2 |     2 |  31.25 |  77.00 |  99.50
         3 |     1 | -40.00 | -40.00 | -40.00
(4 rows)

-- Test GROUP BY on tables with generated virtual columns - this requires
-- special case handling in distributed planning. Test it out on some
-- some queries involving joins and set operations.
SELECT device_id, max(kelvin) as Kel
FROM v_reading
WHERE (device_id, celsius) NOT IN (SELECT device_id, max(celsius) FROM v_reading GROUP BY device_id)
GROUP BY device_id
ORDER BY device_id ASC;
 device_id |  kel
---------------------------------------------------------------------
         1 | 273.15
         2 | 298.15
(2 rows)

SELECT device_id, round(AVG( (d_farenheit + v_farenheit) / 2), 2) as Avg_Far
FROM (SELECT *
      FROM (SELECT device_id, round(AVG(farenheit),2) as d_farenheit
            FROM d_reading
            GROUP BY device_id) AS subq
            RIGHT JOIN (SELECT device_id, MAX(farenheit) AS v_farenheit
                  FROM d_reading
                  GROUP BY device_id) AS subq2
            USING (device_id)
    ) AS finalq
GROUP BY device_id
ORDER BY device_id ASC;
 device_id | avg_far
---------------------------------------------------------------------
         1 |  140.00
         2 |   93.88
         3 |  -40.00
         5 |   64.58
(4 rows)

SELECT device_id, MAX(farenheit) as farenheit
FROM
((SELECT device_id, round(AVG(farenheit),2) as farenheit
 FROM d_reading
 GROUP BY device_id)
UNION ALL (SELECT device_id, MAX(farenheit) AS farenheit
        FROM d_reading
        GROUP BY device_id) ) AS unioned
GROUP BY device_id
ORDER BY device_id ASC;
 device_id | farenheit
---------------------------------------------------------------------
         1 |    212.00
         2 |     99.50
         3 |    -40.00
         5 |     73.40
(4 rows)

SELECT device_id, MAX(farenheit) as farenheit
FROM
((SELECT device_id, round(AVG(farenheit),2) as farenheit
 FROM d_reading
 GROUP BY device_id)
INTERSECT (SELECT device_id, MAX(farenheit) AS farenheit
        FROM d_reading
        GROUP BY device_id) ) AS intersected
GROUP BY device_id
ORDER BY device_id ASC;
 device_id | farenheit
---------------------------------------------------------------------
         3 |    -40.00
(1 row)

SELECT device_id, MAX(farenheit) as farenheit
FROM
((SELECT device_id, round(AVG(farenheit),2) as farenheit
 FROM d_reading
 GROUP BY device_id)
EXCEPT (SELECT device_id, MAX(farenheit) AS farenheit
        FROM d_reading
        GROUP BY device_id) ) AS excepted
GROUP BY device_id
ORDER BY device_id ASC;
 device_id | farenheit
---------------------------------------------------------------------
         1 |     68.00
         2 |     88.25
         5 |     55.76
(3 rows)

-- Ensure that UDFs such as alter_distributed_table, undistribute_table
-- and add_local_table_to_metadata work fine with VIRTUAL columns. For
-- this, PR #4616 changes are modified to handle VIRTUAL columns in
-- addition to STORED columns.
CREATE TABLE generated_stored_dist (
  col_1 int,
  "col\'_2" text,
  col_3 text generated always as (UPPER("col\'_2")) virtual
);
SELECT create_distributed_table ('generated_stored_dist', 'col_1');
 create_distributed_table
---------------------------------------------------------------------

(1 row)

INSERT INTO generated_stored_dist VALUES (1, 'text_1'), (2, 'text_2');
SELECT * FROM generated_stored_dist ORDER BY 1,2,3;
 col_1 | col\'_2 | col_3
---------------------------------------------------------------------
     1 | text_1  | TEXT_1
     2 | text_2  | TEXT_2
(2 rows)

INSERT INTO generated_stored_dist VALUES (1, 'text_1'), (2, 'text_2');
SELECT alter_distributed_table('generated_stored_dist', shard_count := 5, cascade_to_colocated := false);
NOTICE:  creating a new table for pg18_nn.generated_stored_dist
NOTICE:  moving the data of pg18_nn.generated_stored_dist
NOTICE:  dropping the old pg18_nn.generated_stored_dist
NOTICE:  renaming the new table to pg18_nn.generated_stored_dist
 alter_distributed_table
---------------------------------------------------------------------

(1 row)

SELECT * FROM generated_stored_dist ORDER BY 1,2,3;
 col_1 | col\'_2 | col_3
---------------------------------------------------------------------
     1 | text_1  | TEXT_1
     1 | text_1  | TEXT_1
     2 | text_2  | TEXT_2
     2 | text_2  | TEXT_2
(4 rows)

CREATE TABLE generated_stored_local (
  col_1 int,
  "col\'_2" text,
  col_3 text generated always as (UPPER("col\'_2")) stored
);
SELECT citus_add_local_table_to_metadata('generated_stored_local');
 citus_add_local_table_to_metadata
---------------------------------------------------------------------

(1 row)

INSERT INTO generated_stored_local VALUES (1, 'text_1'), (2, 'text_2');
SELECT * FROM generated_stored_local ORDER BY 1,2,3;
 col_1 | col\'_2 | col_3
---------------------------------------------------------------------
     1 | text_1  | TEXT_1
     2 | text_2  | TEXT_2
(2 rows)

SELECT create_distributed_table ('generated_stored_local', 'col_1');
NOTICE:  Copying data from local table...
NOTICE:  copying the data has completed
DETAIL:  The local data in the table is no longer visible, but is still on disk.
HINT:  To remove the local data, run: SELECT truncate_local_data_after_distributing_table($$pg18_nn.generated_stored_local$$)
 create_distributed_table
---------------------------------------------------------------------

(1 row)

INSERT INTO generated_stored_local VALUES (1, 'text_1'), (2, 'text_2');
SELECT * FROM generated_stored_local ORDER BY 1,2,3;
 col_1 | col\'_2 | col_3
---------------------------------------------------------------------
     1 | text_1  | TEXT_1
     1 | text_1  | TEXT_1
     2 | text_2  | TEXT_2
     2 | text_2  | TEXT_2
(4 rows)

CREATE TABLE generated_stored_ref (
  col_1 int,
  col_2 int,
  col_3 int generated always as (col_1+col_2) virtual,
  col_4 int,
  col_5 int generated always as (col_4*2-col_1) virtual
);
SELECT create_reference_table ('generated_stored_ref');
 create_reference_table
---------------------------------------------------------------------

(1 row)

INSERT INTO generated_stored_ref (col_1, col_4) VALUES (1,2), (11,12);
INSERT INTO generated_stored_ref (col_1, col_2, col_4) VALUES (100,101,102), (200,201,202);
SELECT * FROM generated_stored_ref ORDER BY 1,2,3,4,5;
 col_1 | col_2 | col_3 | col_4 | col_5
---------------------------------------------------------------------
     1 |       |       |     2 |     3
    11 |       |       |    12 |    13
   100 |   101 |   201 |   102 |   104
   200 |   201 |   401 |   202 |   204
(4 rows)

BEGIN;
  SELECT undistribute_table('generated_stored_ref');
NOTICE:  creating a new table for pg18_nn.generated_stored_ref
NOTICE:  moving the data of pg18_nn.generated_stored_ref
NOTICE:  dropping the old pg18_nn.generated_stored_ref
NOTICE:  renaming the new table to pg18_nn.generated_stored_ref
 undistribute_table
---------------------------------------------------------------------

(1 row)

  INSERT INTO generated_stored_ref (col_1, col_4) VALUES (11,12), (21,22);
  INSERT INTO generated_stored_ref (col_1, col_2, col_4) VALUES (200,201,202), (300,301,302);
  SELECT * FROM generated_stored_ref ORDER BY 1,2,3,4,5;
 col_1 | col_2 | col_3 | col_4 | col_5
---------------------------------------------------------------------
     1 |       |       |     2 |     3
    11 |       |       |    12 |    13
    11 |       |       |    12 |    13
    21 |       |       |    22 |    23
   100 |   101 |   201 |   102 |   104
   200 |   201 |   401 |   202 |   204
   200 |   201 |   401 |   202 |   204
   300 |   301 |   601 |   302 |   304
(8 rows)

ROLLBACK;
BEGIN;
  -- drop some of the columns not having "generated always as virtual" expressions
  SET client_min_messages TO WARNING;
  ALTER TABLE generated_stored_ref DROP COLUMN col_1 CASCADE;
  RESET client_min_messages;
  ALTER TABLE generated_stored_ref DROP COLUMN col_4;
  -- show that undistribute_table works fine
  SELECT undistribute_table('generated_stored_ref');
NOTICE:  creating a new table for pg18_nn.generated_stored_ref
NOTICE:  moving the data of pg18_nn.generated_stored_ref
NOTICE:  dropping the old pg18_nn.generated_stored_ref
NOTICE:  renaming the new table to pg18_nn.generated_stored_ref
 undistribute_table
---------------------------------------------------------------------

(1 row)

  INSERT INTO generated_stored_ref VALUES (5);
  SELECT * FROM generated_stored_REF ORDER BY 1;
 col_2
---------------------------------------------------------------------
     5
   101
   201


(5 rows)

ROLLBACK;
BEGIN;
  -- now drop all columns
  ALTER TABLE generated_stored_ref DROP COLUMN col_3;
  ALTER TABLE generated_stored_ref DROP COLUMN col_5;
  ALTER TABLE generated_stored_ref DROP COLUMN col_1;
  ALTER TABLE generated_stored_ref DROP COLUMN col_2;
  ALTER TABLE generated_stored_ref DROP COLUMN col_4;
  -- show that undistribute_table works fine
  SELECT undistribute_table('generated_stored_ref');
NOTICE:  creating a new table for pg18_nn.generated_stored_ref
NOTICE:  moving the data of pg18_nn.generated_stored_ref
NOTICE:  dropping the old pg18_nn.generated_stored_ref
NOTICE:  renaming the new table to pg18_nn.generated_stored_ref
 undistribute_table
---------------------------------------------------------------------

(1 row)

  SELECT * FROM generated_stored_ref;
--
(4 rows)

ROLLBACK;
-- cleanup with minimum verbosity
SET client_min_messages TO ERROR;
RESET search_path;
RESET citus.shard_count;
RESET citus.shard_replication_factor;
DROP SCHEMA pg18_nn CASCADE;
RESET client_min_messages;