mirror of https://github.com/citusdata/citus.git
295 lines
7.5 KiB
PL/PgSQL
295 lines
7.5 KiB
PL/PgSQL
SHOW server_version \gset
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SELECT substring(:'server_version', '\d+')::int > 11 AS server_version_above_eleven
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\gset
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\if :server_version_above_eleven
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\else
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\q
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\endif
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SET citus.shard_replication_factor to 1;
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SET citus.next_shard_id TO 60000;
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SET citus.next_placement_id TO 60000;
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create schema test_pg12;
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set search_path to test_pg12;
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CREATE FUNCTION blackhole_am_handler(internal)
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RETURNS table_am_handler
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AS 'citus'
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LANGUAGE C;
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CREATE ACCESS METHOD blackhole_am TYPE TABLE HANDLER blackhole_am_handler;
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create table test_am(id int, val int) using blackhole_am;
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insert into test_am values (1, 1);
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-- Custom table access methods should be rejected
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select create_distributed_table('test_am','id');
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-- Test generated columns
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-- val1 after val2 to test https://github.com/citusdata/citus/issues/3538
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create table gen1 (
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id int,
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val2 int GENERATED ALWAYS AS (val1 + 2) STORED,
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val1 int
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);
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create table gen2 (
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id int,
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val1 int,
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val2 int GENERATED ALWAYS AS (val1 + 2) STORED
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);
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insert into gen1 (id, val1) values (1,4),(3,6),(5,2),(7,2);
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insert into gen2 (id, val1) values (1,4),(3,6),(5,2),(7,2);
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select create_distributed_table('gen1', 'id');
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select create_distributed_table('gen2', 'val2');
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copy gen1 to :'temp_dir''pg12_copy_test_generated';
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insert into gen1 (id, val1) values (2,4),(4,6),(6,2),(8,2);
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insert into gen2 (id, val1) values (2,4),(4,6),(6,2),(8,2);
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select * from gen1 order by 1,2,3;
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select * from gen2 order by 1,2,3;
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truncate gen1;
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copy gen1 from :'temp_dir''pg12_copy_test_generated';
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select * from gen1 order by 1,2,3;
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-- Test new VACUUM/ANALYZE options
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analyze (skip_locked) gen1;
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vacuum (skip_locked) gen1;
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vacuum (truncate 0) gen1;
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vacuum (index_cleanup 1) gen1;
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-- COPY FROM
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create table cptest (id int, val int);
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select create_distributed_table('cptest', 'id');
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copy cptest from STDIN with csv where val < 4;
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1,6
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2,3
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3,2
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4,9
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5,4
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\.
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select sum(id), sum(val) from cptest;
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-- CTE materialized/not materialized
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CREATE TABLE single_hash_repartition_first (id int, sum int, avg float);
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CREATE TABLE single_hash_repartition_second (id int primary key, sum int, avg float);
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SELECT create_distributed_table('single_hash_repartition_first', 'id');
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SELECT create_distributed_table('single_hash_repartition_second', 'id');
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INSERT INTO single_hash_repartition_first
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SELECT i, i * 3, i * 0.3
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FROM generate_series(0, 100) i;
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INSERT INTO single_hash_repartition_second
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SELECT i * 2, i * 5, i * 0.6
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FROM generate_series(0, 100) i;
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-- a sample router query with NOT MATERIALIZED
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-- which pushes down the filters to the CTE
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SELECT public.coordinator_plan($Q$
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EXPLAIN (COSTS OFF)
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WITH cte1 AS NOT MATERIALIZED
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(
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SELECT id
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FROM single_hash_repartition_first t1
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)
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SELECT count(*)
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FROM cte1, single_hash_repartition_second
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WHERE cte1.id = single_hash_repartition_second.id AND single_hash_repartition_second.id = 45;
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$Q$);
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-- same query, without NOT MATERIALIZED, which is already default
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-- which pushes down the filters to the CTE
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SELECT public.coordinator_plan($Q$
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EXPLAIN (COSTS OFF)
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WITH cte1 AS
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(
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SELECT id
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FROM single_hash_repartition_first t1
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)
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SELECT count(*)
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FROM cte1, single_hash_repartition_second
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WHERE cte1.id = single_hash_repartition_second.id AND single_hash_repartition_second.id = 45;
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$Q$);
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-- same query with MATERIALIZED
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-- which prevents pushing down filters to the CTE,
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-- thus becoming a real-time query
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SELECT public.coordinator_plan($Q$
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EXPLAIN (COSTS OFF)
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WITH cte1 AS MATERIALIZED
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(
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SELECT id
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FROM single_hash_repartition_first t1
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)
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SELECT count(*)
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FROM cte1, single_hash_repartition_second
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WHERE cte1.id = single_hash_repartition_second.id AND single_hash_repartition_second.id = 45;
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$Q$);
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-- similar query with MATERIALIZED
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-- now manually have the same filter in the CTE
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-- thus becoming a router query again
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SELECT public.coordinator_plan($Q$
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EXPLAIN (COSTS OFF)
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WITH cte1 AS MATERIALIZED
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(
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SELECT id
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FROM single_hash_repartition_first t1
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WHERE id = 45
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)
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SELECT count(*)
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FROM cte1, single_hash_repartition_second
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WHERE cte1.id = single_hash_repartition_second.id AND single_hash_repartition_second.id = 45;
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$Q$);
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-- now, have a real-time query without MATERIALIZED
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-- these are sanitiy checks, because all of the CTEs are recursively
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-- planned and there is no benefit that Citus can have
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SELECT public.coordinator_plan($Q$
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EXPLAIN (COSTS OFF)
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WITH cte1 AS MATERIALIZED
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(
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SELECT id
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FROM single_hash_repartition_first t1
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WHERE sum = 45
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)
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SELECT count(*)
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FROM cte1, single_hash_repartition_second
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WHERE cte1.id = single_hash_repartition_second.id AND single_hash_repartition_second.sum = 45;
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$Q$);
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SELECT public.coordinator_plan($Q$
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EXPLAIN (COSTS OFF)
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WITH cte1 AS NOT MATERIALIZED
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(
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SELECT id
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FROM single_hash_repartition_first t1
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WHERE sum = 45
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)
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SELECT count(*)
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FROM cte1, single_hash_repartition_second
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WHERE cte1.id = single_hash_repartition_second.id AND single_hash_repartition_second.sum = 45;
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$Q$);
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-- Foreign keys to partition tables
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CREATE TABLE collections_list (
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key bigint,
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collection_id integer,
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value numeric,
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PRIMARY KEY(key, collection_id)
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) PARTITION BY LIST (collection_id);
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CREATE TABLE collections_list_0
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PARTITION OF collections_list (key, collection_id, value)
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FOR VALUES IN ( 0 );
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CREATE TABLE collections_list_1
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PARTITION OF collections_list (key, collection_id, value)
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FOR VALUES IN ( 1 );
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CREATE TABLE collection_users
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(used_id integer, collection_id integer, key bigint);
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ALTER TABLE collection_users
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ADD CONSTRAINT collection_users_fkey FOREIGN KEY (key, collection_id) REFERENCES collections_list (key, collection_id);
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-- sanity check for postgres
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INSERT INTO collections_list VALUES (1, 0, '1.1');
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INSERT INTO collection_users VALUES (1, 0, 1);
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-- should fail because of fkey
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INSERT INTO collection_users VALUES (1, 1000, 1);
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SELECT create_distributed_table('collections_list', 'key');
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SELECT create_distributed_table('collection_users', 'key');
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-- should still fail because of fkey
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INSERT INTO collection_users VALUES (1, 1000, 1);
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-- whereas new record with partition should go through
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INSERT INTO collections_list VALUES (2, 1, '1.2');
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INSERT INTO collection_users VALUES (5, 1, 2);
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-- AND CHAIN
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CREATE TABLE test (x int, y int);
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INSERT INTO test (x,y) SELECT i,i*3 from generate_series(1, 100) i;
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SELECT create_distributed_table('test', 'x');
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-- single shard queries with CHAIN
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BEGIN;
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UPDATE test SET y = 15 WHERE x = 1;
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COMMIT AND CHAIN;
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SELECT * FROM test WHERE x = 1;
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COMMIT;
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BEGIN;
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UPDATE test SET y = 20 WHERE x = 1;
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ROLLBACK AND CHAIN;
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SELECT * FROM test WHERE x = 1;
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COMMIT;
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-- multi shard queries with CHAIN
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BEGIN;
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UPDATE test SET y = 25;
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COMMIT AND CHAIN;
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SELECT DISTINCT y FROM test;
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COMMIT;
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BEGIN;
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UPDATE test SET y = 30;
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ROLLBACK AND CHAIN;
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SELECT DISTINCT y FROM test;
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COMMIT;
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-- does read only carry over?
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BEGIN READ ONLY;
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COMMIT AND CHAIN;
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UPDATE test SET y = 35;
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COMMIT;
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SELECT DISTINCT y FROM test;
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BEGIN READ ONLY;
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ROLLBACK AND CHAIN;
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UPDATE test SET y = 40;
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COMMIT;
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SELECT DISTINCT y FROM test;
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-- non deterministic collations
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CREATE COLLATION test_pg12.case_insensitive (
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provider = icu,
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locale = 'und-u-ks-level2',
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deterministic = false
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);
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CREATE TABLE col_test (
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id int,
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val text collate case_insensitive
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);
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insert into col_test values
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(1, 'asdF'), (2, 'vAlue'), (3, 'asDF');
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-- Hash distribution of non deterministic collations are unsupported
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select create_distributed_table('col_test', 'val');
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select create_distributed_table('col_test', 'id');
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insert into col_test values
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(4, 'vALue'), (5, 'AsDf'), (6, 'value');
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select count(*)
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from col_test
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where val = 'asdf';
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\set VERBOSITY terse
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drop schema test_pg12 cascade;
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\set VERBOSITY default
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SET citus.shard_replication_factor to 2;
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