mirror of https://github.com/citusdata/citus.git
Rename to pg17_json and add json function tests also
naisila
parent
9bc95faa32
commit
cf190e0489
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@ -1,5 +1,5 @@
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--
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-- JSON_TABLE
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-- PG17_JSON
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-- PG17 has added basic JSON_TABLE() functionality
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-- JSON_TABLE() allows JSON data to be converted into a relational view
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-- and thus used, for example, in a FROM clause, like other tabular
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@ -17,8 +17,8 @@ SELECT substring(:'server_version', '\d+')::int >= 17 AS server_version_ge_17
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\else
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\q
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\endif
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CREATE SCHEMA json_table;
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SET search_path TO json_table;
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CREATE SCHEMA pg17_json;
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SET search_path TO pg17_json;
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SET citus.next_shard_id TO 1687000;
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CREATE TABLE test_table(id bigserial, value text);
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SELECT create_distributed_table('test_table', 'id');
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@ -140,8 +140,8 @@ SELECT count(*) FROM
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LIMIT 1) as sub_with_json, test_table
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WHERE test_table.id = sub_with_json.id;
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DEBUG: push down of limit count: 1
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DEBUG: generating subplan XXX_1 for subquery SELECT jt.id, jt.kind, jt.title, jt.director FROM "json_table".my_films, LATERAL JSON_TABLE(my_films.js, '$."favorites"[*]' AS json_table_path_0 COLUMNS (id FOR ORDINALITY, kind text PATH '$."kind"', NESTED PATH '$."films"[*]' AS json_table_path_1 COLUMNS (title text PATH '$."title"', director text PATH '$."director"'))) jt LIMIT 1
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DEBUG: Plan XXX query after replacing subqueries and CTEs: SELECT count(*) AS count FROM (SELECT intermediate_result.id, intermediate_result.kind, intermediate_result.title, intermediate_result.director FROM read_intermediate_result('XXX_1'::text, 'binary'::citus_copy_format) intermediate_result(id integer, kind text, title text, director text)) sub_with_json, "json_table".test_table WHERE (test_table.id OPERATOR(pg_catalog.=) sub_with_json.id)
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DEBUG: generating subplan XXX_1 for subquery SELECT jt.id, jt.kind, jt.title, jt.director FROM pg17_json.my_films, LATERAL JSON_TABLE(my_films.js, '$."favorites"[*]' AS json_table_path_0 COLUMNS (id FOR ORDINALITY, kind text PATH '$."kind"', NESTED PATH '$."films"[*]' AS json_table_path_1 COLUMNS (title text PATH '$."title"', director text PATH '$."director"'))) jt LIMIT 1
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DEBUG: Plan XXX query after replacing subqueries and CTEs: SELECT count(*) AS count FROM (SELECT intermediate_result.id, intermediate_result.kind, intermediate_result.title, intermediate_result.director FROM read_intermediate_result('XXX_1'::text, 'binary'::citus_copy_format) intermediate_result(id integer, kind text, title text, director text)) sub_with_json, pg17_json.test_table WHERE (test_table.id OPERATOR(pg_catalog.=) sub_with_json.id)
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count
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---------------------------------------------------------------------
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1
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@ -293,7 +293,7 @@ LEFT JOIN LATERAL
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FROM my_films) AS foo on(foo.id = a);
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DEBUG: recursively planning right side of the left join since the outer side is a recurring rel
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DEBUG: recursively planning the distributed subquery since it is part of a distributed join node that is outer joined with a recurring rel
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DEBUG: generating subplan XXX_1 for subquery SELECT id, js FROM "json_table".my_films
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DEBUG: generating subplan XXX_1 for subquery SELECT id, js FROM pg17_json.my_films
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DEBUG: Plan XXX query after replacing subqueries and CTEs: SELECT "json_table".id, "json_table".column_a, "json_table".column_b, "json_table".a, "json_table".b, "json_table".c, foo.id, foo.js FROM (JSON_TABLE('[{"a": 10, "b": 20}, {"a": 30, "b": 40}]'::jsonb, '$[*]' AS json_table_path_0 COLUMNS (id FOR ORDINALITY, column_a integer PATH '$."a"', column_b integer PATH '$."b"', a integer PATH '$."a"', b integer PATH '$."b"', c text PATH '$."c"')) LEFT JOIN LATERAL (SELECT intermediate_result.id, intermediate_result.js FROM read_intermediate_result('XXX_1'::text, 'binary'::citus_copy_format) intermediate_result(id bigint, js jsonb)) foo ON ((foo.id OPERATOR(pg_catalog.=) "json_table".a)))
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id | column_a | column_b | a | b | c | id | js
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---------------------------------------------------------------------
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@ -333,7 +333,7 @@ UNION
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DEBUG: generating subplan XXX_1 for subquery SELECT id FROM JSON_TABLE('[{"a": 10, "b": 20}, {"a": 30, "b": 40}]'::jsonb, '$[*]' AS json_table_path_0 COLUMNS (id FOR ORDINALITY)) ORDER BY id LIMIT 1
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DEBUG: generating subplan XXX_2 for subquery SELECT id FROM JSON_TABLE('[{"a": 10, "b": 20}, {"a": 30, "b": 40}]'::jsonb, '$[*]' AS json_table_path_0 COLUMNS (id FOR ORDINALITY)) ORDER BY id LIMIT 1
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DEBUG: push down of limit count: 1
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DEBUG: generating subplan XXX_3 for subquery SELECT id FROM "json_table".test_table ORDER BY id LIMIT 1
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DEBUG: generating subplan XXX_3 for subquery SELECT id FROM pg17_json.test_table ORDER BY id LIMIT 1
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DEBUG: Plan XXX query after replacing subqueries and CTEs: SELECT intermediate_result.id FROM read_intermediate_result('XXX_1'::text, 'binary'::citus_copy_format) intermediate_result(id integer) UNION SELECT intermediate_result.id FROM read_intermediate_result('XXX_2'::text, 'binary'::citus_copy_format) intermediate_result(id integer) UNION SELECT intermediate_result.id FROM read_intermediate_result('XXX_3'::text, 'binary'::citus_copy_format) intermediate_result(id bigint)
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id
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---------------------------------------------------------------------
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@ -363,8 +363,8 @@ SELECT jt.* FROM
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NESTED PATH '$.films[*]' COLUMNS (
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title text PATH '$.title',
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director text PATH '$.director'))) AS jt) as foo WHERE foo.id = test_table.id;
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DEBUG: generating subplan XXX_1 for subquery SELECT jt.id, jt.kind, jt.title, jt.director FROM "json_table".my_films, LATERAL JSON_TABLE(my_films.js, '$."favorites"[*]' AS json_table_path_0 COLUMNS (id FOR ORDINALITY, kind text PATH '$."kind"', NESTED PATH '$."films"[*]' AS json_table_path_1 COLUMNS (title text PATH '$."title"', director text PATH '$."director"'))) jt
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DEBUG: Plan XXX query after replacing subqueries and CTEs: UPDATE "json_table".test_table SET value = 'XXX'::text FROM (SELECT intermediate_result.id, intermediate_result.kind, intermediate_result.title, intermediate_result.director FROM read_intermediate_result('XXX_1'::text, 'binary'::citus_copy_format) intermediate_result(id integer, kind text, title text, director text)) foo WHERE (foo.id OPERATOR(pg_catalog.=) test_table.id)
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DEBUG: generating subplan XXX_1 for subquery SELECT jt.id, jt.kind, jt.title, jt.director FROM pg17_json.my_films, LATERAL JSON_TABLE(my_films.js, '$."favorites"[*]' AS json_table_path_0 COLUMNS (id FOR ORDINALITY, kind text PATH '$."kind"', NESTED PATH '$."films"[*]' AS json_table_path_1 COLUMNS (title text PATH '$."title"', director text PATH '$."director"'))) jt
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DEBUG: Plan XXX query after replacing subqueries and CTEs: UPDATE pg17_json.test_table SET value = 'XXX'::text FROM (SELECT intermediate_result.id, intermediate_result.kind, intermediate_result.title, intermediate_result.director FROM read_intermediate_result('XXX_1'::text, 'binary'::citus_copy_format) intermediate_result(id integer, kind text, title text, director text)) foo WHERE (foo.id OPERATOR(pg_catalog.=) test_table.id)
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-- Subquery with JSON table can be pushed down because two distributed tables
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-- in the query are joined on distribution column
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UPDATE test_table SET VALUE = 'XXX' FROM (
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@ -398,11 +398,13 @@ WITH json_cte AS
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director text PATH '$.director'))) AS jt ORDER BY jt.id LIMIT 1)
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UPDATE test_table SET VALUE = 'XYZ' FROM json_cte
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WHERE json_cte.film_id = test_table.id;
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DEBUG: generating subplan XXX_1 for CTE json_cte: SELECT my_films.id AS film_id, jt.kind, jt.id, jt.title, jt.director FROM "json_table".my_films, LATERAL JSON_TABLE(my_films.js, '$."favorites"[*]' AS json_table_path_0 COLUMNS (kind text PATH '$."kind"', NESTED PATH '$."films"[*]' AS json_table_path_1 COLUMNS (id FOR ORDINALITY, title text PATH '$."title"', director text PATH '$."director"'))) jt ORDER BY jt.id LIMIT 1
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DEBUG: generating subplan XXX_1 for CTE json_cte: SELECT my_films.id AS film_id, jt.kind, jt.id, jt.title, jt.director FROM pg17_json.my_films, LATERAL JSON_TABLE(my_films.js, '$."favorites"[*]' AS json_table_path_0 COLUMNS (kind text PATH '$."kind"', NESTED PATH '$."films"[*]' AS json_table_path_1 COLUMNS (id FOR ORDINALITY, title text PATH '$."title"', director text PATH '$."director"'))) jt ORDER BY jt.id LIMIT 1
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DEBUG: push down of limit count: 1
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DEBUG: Plan XXX query after replacing subqueries and CTEs: UPDATE "json_table".test_table SET value = 'XYZ'::text FROM (SELECT intermediate_result.film_id, intermediate_result.kind, intermediate_result.id, intermediate_result.title, intermediate_result.director FROM read_intermediate_result('XXX_1'::text, 'binary'::citus_copy_format) intermediate_result(film_id bigint, kind text, id integer, title text, director text)) json_cte WHERE (json_cte.film_id OPERATOR(pg_catalog.=) test_table.id)
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DEBUG: Plan XXX query after replacing subqueries and CTEs: UPDATE pg17_json.test_table SET value = 'XYZ'::text FROM (SELECT intermediate_result.film_id, intermediate_result.kind, intermediate_result.id, intermediate_result.title, intermediate_result.director FROM read_intermediate_result('XXX_1'::text, 'binary'::citus_copy_format) intermediate_result(film_id bigint, kind text, id integer, title text, director text)) json_cte WHERE (json_cte.film_id OPERATOR(pg_catalog.=) test_table.id)
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-- JSON_TABLE NESTED
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-- JSON_TABLE: plan execution
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-- Check output with Postgres table in sqljson_jsontable test
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-- https://github.com/postgres/postgres/blob/REL_17_0/src/test/regress/expected/sqljson_jsontable.out#L776-L814
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CREATE TABLE jsonb_table_test (id bigserial, js jsonb);
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DEBUG: CREATE TABLE will create implicit sequence "jsonb_table_test_id_seq" for serial column "jsonb_table_test.id"
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SELECT create_distributed_table('jsonb_table_test', 'id');
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@ -448,5 +450,129 @@ from
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4 | -1 | 2 | 2 | |
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(11 rows)
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-- test some utility functions on the target list & where clause: json_exists()
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select jsonb_path_exists(js, '$.favorites') from my_films;
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jsonb_path_exists
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---------------------------------------------------------------------
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t
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t
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(2 rows)
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select bool_and(JSON_EXISTS(js, '$.favorites.films.title')) from my_films;
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bool_and
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---------------------------------------------------------------------
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t
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(1 row)
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SELECT count(*) FROM my_films WHERE jsonb_path_exists(js, '$.favorites');
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count
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---------------------------------------------------------------------
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2
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(1 row)
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SELECT count(*) FROM my_films WHERE JSON_EXISTS(js, '$.favorites.films.title');
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count
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---------------------------------------------------------------------
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2
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(1 row)
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-- check constraint with json_exists, use json_scalar also
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SET citus.shard_replication_factor TO 1;
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create table user_profiles (
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id bigserial,
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addresses jsonb,
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anyjson jsonb,
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serialized bytea,
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check (json_exists( addresses, '$.main' )) -- we should insert a key named main
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);
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DEBUG: CREATE TABLE will create implicit sequence "user_profiles_id_seq" for serial column "user_profiles.id"
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select create_distributed_table('user_profiles', 'id');
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create_distributed_table
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---------------------------------------------------------------------
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(1 row)
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insert into user_profiles (addresses) VALUES (JSON_SCALAR('1'));
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ERROR: new row for relation "user_profiles_1687012" violates check constraint "user_profiles_addresses_check"
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DETAIL: Failing row contains (1, "1", null, null).
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CONTEXT: while executing command on localhost:xxxxx
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insert into user_profiles (addresses, anyjson) VALUES ('{"main":"value"}', JSON_SCALAR('1')) RETURNING *;
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id | addresses | anyjson | serialized
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---------------------------------------------------------------------
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2 | {"main": "value"} | "1" |
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(1 row)
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-- use json() - we cannot insert because WITH UNIQUE KEYS
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insert into user_profiles (addresses) VALUES (JSON ('{"main":"value", "main":"value"}' WITH UNIQUE KEYS));
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ERROR: duplicate JSON object key value
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-- we can insert with
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insert into user_profiles (addresses) VALUES (JSON ('{"main":"value", "main":"value"}' WITHOUT UNIQUE KEYS)) RETURNING *;
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id | addresses | anyjson | serialized
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---------------------------------------------------------------------
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4 | {"main": "value"} | |
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(1 row)
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-- JSON predicates
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TRUNCATE user_profiles;
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INSERT INTO user_profiles (anyjson) VALUES ('12'), ('"abc"'), ('[1,2,3]'), ('{"a":12}');
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select anyjson, anyjson is json array as json_array, anyjson is json object as json_object, anyjson is json scalar as json_scalar,
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anyjson is json with UNIQUE keys
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from user_profiles WHERE anyjson IS NOT NULL ORDER BY 1;
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anyjson | json_array | json_object | json_scalar | ?column?
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---------------------------------------------------------------------
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"abc" | f | f | t | t
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12 | f | f | t | t
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[1, 2, 3] | t | f | f | t
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{"a": 12} | f | t | f | t
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(4 rows)
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-- use json_serialize
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-- it is evaluated in the worker
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SELECT JSON_SERIALIZE('{ "a" : 1 } ' RETURNING bytea);
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json_serialize
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---------------------------------------------------------------------
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\x7b20226122203a2031207d20
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(1 row)
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SET citus.log_remote_commands TO on;
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INSERT INTO user_profiles (serialized) VALUES (JSON_SERIALIZE('{ "a" : 1 } ' RETURNING bytea)) RETURNING *;
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NOTICE: issuing INSERT INTO pg17_json.user_profiles_1687015 (id, serialized) VALUES ('9'::bigint, JSON_SERIALIZE('{ "a" : 1 } '::text RETURNING bytea)) RETURNING id, addresses, anyjson, serialized
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DETAIL: on server postgres@localhost:xxxxx connectionId: xxxxxxx
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id | addresses | anyjson | serialized
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---------------------------------------------------------------------
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9 | | | \x7b20226122203a2031207d20
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(1 row)
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RESET citus.log_remote_commands;
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-- use json_query
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SELECT i,
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json_query('[{"x": "aaa"},{"x": "bbb"},{"x": "ccc"}]'::JSONB, '$[$i].x' passing id AS i RETURNING text omit quotes)
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FROM generate_series(0, 3) i
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JOIN my_films ON(id = i) ORDER BY 1;
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i | json_query
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---------------------------------------------------------------------
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1 | bbb
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2 | ccc
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(2 rows)
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-- use json_value
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-- check output with sqljson_queryfuncs test
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-- https://github.com/postgres/postgres/blob/REL_17_0/src/test/regress/expected/sqljson_queryfuncs.out#L439-L455
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SELECT i,
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JSON_VALUE(
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jsonb '{"a": 1, "b": 2}',
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'$.* ? (@ > $i)' PASSING id AS i
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RETURNING int
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DEFAULT -1 ON EMPTY
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DEFAULT -2 ON ERROR
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)
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FROM generate_series(0, 3) i
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JOIN my_films ON(id = i) ORDER BY 1;
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i | json_value
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---------------------------------------------------------------------
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1 | 2
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2 | -1
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(2 rows)
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SET client_min_messages TO ERROR;
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DROP SCHEMA json_table CASCADE;
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DROP SCHEMA pg17_json CASCADE;
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@ -1,5 +1,5 @@
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--
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-- JSON_TABLE
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-- PG17_JSON
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-- PG17 has added basic JSON_TABLE() functionality
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-- JSON_TABLE() allows JSON data to be converted into a relational view
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-- and thus used, for example, in a FROM clause, like other tabular
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@ -66,7 +66,7 @@ test: pg14
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test: pg15
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test: pg15_jsonpath detect_conn_close
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test: pg16
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test: pg17 json_table
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test: pg17 pg17_json
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test: drop_column_partitioned_table
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test: tableam
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@ -1,5 +1,5 @@
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--
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-- JSON_TABLE
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-- PG17_JSON
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-- PG17 has added basic JSON_TABLE() functionality
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-- JSON_TABLE() allows JSON data to be converted into a relational view
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-- and thus used, for example, in a FROM clause, like other tabular
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@ -19,8 +19,8 @@ SELECT substring(:'server_version', '\d+')::int >= 17 AS server_version_ge_17
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\q
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\endif
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CREATE SCHEMA json_table;
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SET search_path TO json_table;
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CREATE SCHEMA pg17_json;
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SET search_path TO pg17_json;
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SET citus.next_shard_id TO 1687000;
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@ -285,6 +285,8 @@ UPDATE test_table SET VALUE = 'XYZ' FROM json_cte
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-- JSON_TABLE NESTED
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-- JSON_TABLE: plan execution
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-- Check output with Postgres table in sqljson_jsontable test
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-- https://github.com/postgres/postgres/blob/REL_17_0/src/test/regress/expected/sqljson_jsontable.out#L776-L814
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CREATE TABLE jsonb_table_test (id bigserial, js jsonb);
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SELECT create_distributed_table('jsonb_table_test', 'id');
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@ -313,5 +315,65 @@ from
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)
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) jt;
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-- test some utility functions on the target list & where clause: json_exists()
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select jsonb_path_exists(js, '$.favorites') from my_films;
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select bool_and(JSON_EXISTS(js, '$.favorites.films.title')) from my_films;
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SELECT count(*) FROM my_films WHERE jsonb_path_exists(js, '$.favorites');
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SELECT count(*) FROM my_films WHERE JSON_EXISTS(js, '$.favorites.films.title');
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-- check constraint with json_exists, use json_scalar also
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SET citus.shard_replication_factor TO 1;
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create table user_profiles (
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id bigserial,
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addresses jsonb,
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anyjson jsonb,
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serialized bytea,
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check (json_exists( addresses, '$.main' )) -- we should insert a key named main
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);
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select create_distributed_table('user_profiles', 'id');
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insert into user_profiles (addresses) VALUES (JSON_SCALAR('1'));
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insert into user_profiles (addresses, anyjson) VALUES ('{"main":"value"}', JSON_SCALAR('1')) RETURNING *;
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-- use json() - we cannot insert because WITH UNIQUE KEYS
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insert into user_profiles (addresses) VALUES (JSON ('{"main":"value", "main":"value"}' WITH UNIQUE KEYS));
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-- we can insert with
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insert into user_profiles (addresses) VALUES (JSON ('{"main":"value", "main":"value"}' WITHOUT UNIQUE KEYS)) RETURNING *;
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-- JSON predicates
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TRUNCATE user_profiles;
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INSERT INTO user_profiles (anyjson) VALUES ('12'), ('"abc"'), ('[1,2,3]'), ('{"a":12}');
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select anyjson, anyjson is json array as json_array, anyjson is json object as json_object, anyjson is json scalar as json_scalar,
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anyjson is json with UNIQUE keys
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from user_profiles WHERE anyjson IS NOT NULL ORDER BY 1;
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-- use json_serialize
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-- it is evaluated in the worker
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SELECT JSON_SERIALIZE('{ "a" : 1 } ' RETURNING bytea);
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SET citus.log_remote_commands TO on;
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INSERT INTO user_profiles (serialized) VALUES (JSON_SERIALIZE('{ "a" : 1 } ' RETURNING bytea)) RETURNING *;
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RESET citus.log_remote_commands;
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-- use json_query
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SELECT i,
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json_query('[{"x": "aaa"},{"x": "bbb"},{"x": "ccc"}]'::JSONB, '$[$i].x' passing id AS i RETURNING text omit quotes)
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FROM generate_series(0, 3) i
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JOIN my_films ON(id = i) ORDER BY 1;
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-- use json_value
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-- check output with sqljson_queryfuncs test
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-- https://github.com/postgres/postgres/blob/REL_17_0/src/test/regress/expected/sqljson_queryfuncs.out#L439-L455
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SELECT i,
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JSON_VALUE(
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jsonb '{"a": 1, "b": 2}',
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'$.* ? (@ > $i)' PASSING id AS i
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||||
RETURNING int
|
||||
DEFAULT -1 ON EMPTY
|
||||
DEFAULT -2 ON ERROR
|
||||
)
|
||||
FROM generate_series(0, 3) i
|
||||
JOIN my_films ON(id = i) ORDER BY 1;
|
||||
|
||||
SET client_min_messages TO ERROR;
|
||||
DROP SCHEMA json_table CASCADE;
|
||||
DROP SCHEMA pg17_json CASCADE;
|
||||
Loading…
Reference in New Issue