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citus/src/test/regress/expected/multi_explain_0.out

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--
-- MULTI_EXPLAIN
--
SET citus.next_shard_id TO 570000;
-- print whether we're using version > 9 to make version-specific tests clear
SHOW server_version \gset
SELECT substring(:'server_version', '\d+')::int > 9 AS version_above_nine;
version_above_nine
--------------------
f
(1 row)
\a\t
SET citus.task_executor_type TO 'real-time';
SET citus.explain_distributed_queries TO on;
-- Function that parses explain output as JSON
CREATE FUNCTION explain_json(query text)
RETURNS jsonb
AS $BODY$
DECLARE
result jsonb;
BEGIN
EXECUTE format('EXPLAIN (FORMAT JSON) %s', query) INTO result;
RETURN result;
END;
$BODY$ LANGUAGE plpgsql;
-- Function that parses explain output as XML
CREATE FUNCTION explain_xml(query text)
RETURNS xml
AS $BODY$
DECLARE
result xml;
BEGIN
EXECUTE format('EXPLAIN (FORMAT XML) %s', query) INTO result;
RETURN result;
END;
$BODY$ LANGUAGE plpgsql;
-- VACUMM related tables to ensure test outputs are stable
VACUUM ANALYZE lineitem;
VACUUM ANALYZE orders;
-- Test Text format
EXPLAIN (COSTS FALSE, FORMAT TEXT)
SELECT l_quantity, count(*) count_quantity FROM lineitem
GROUP BY l_quantity ORDER BY count_quantity, l_quantity;
Sort
Sort Key: COALESCE((pg_catalog.sum((COALESCE((pg_catalog.sum(remote_scan.count_quantity))::bigint, '0'::bigint))))::bigint, '0'::bigint), remote_scan.l_quantity
-> HashAggregate
Group Key: remote_scan.l_quantity
-> Custom Scan (Citus Real-Time)
Task Count: 2
Tasks Shown: One of 2
-> Task
Node: host=localhost port=57637 dbname=regression
-> HashAggregate
Group Key: l_quantity
-> Seq Scan on lineitem_290001 lineitem
-- Test disable hash aggregate
SET enable_hashagg TO off;
EXPLAIN (COSTS FALSE, FORMAT TEXT)
SELECT l_quantity, count(*) count_quantity FROM lineitem
GROUP BY l_quantity ORDER BY count_quantity, l_quantity;
Sort
Sort Key: COALESCE((pg_catalog.sum((COALESCE((pg_catalog.sum(remote_scan.count_quantity))::bigint, '0'::bigint))))::bigint, '0'::bigint), remote_scan.l_quantity
-> GroupAggregate
Group Key: remote_scan.l_quantity
-> Sort
Sort Key: remote_scan.l_quantity
-> Custom Scan (Citus Real-Time)
Task Count: 2
Tasks Shown: One of 2
-> Task
Node: host=localhost port=57637 dbname=regression
-> HashAggregate
Group Key: l_quantity
-> Seq Scan on lineitem_290001 lineitem
SET enable_hashagg TO on;
-- Test JSON format
EXPLAIN (COSTS FALSE, FORMAT JSON)
SELECT l_quantity, count(*) count_quantity FROM lineitem
GROUP BY l_quantity ORDER BY count_quantity, l_quantity;
[
{
"Plan": {
"Node Type": "Sort",
"Parallel Aware": false,
"Sort Key": ["COALESCE((pg_catalog.sum((COALESCE((pg_catalog.sum(remote_scan.count_quantity))::bigint, '0'::bigint))))::bigint, '0'::bigint)", "remote_scan.l_quantity"],
"Plans": [
{
"Node Type": "Aggregate",
"Strategy": "Hashed",
"Partial Mode": "Simple",
"Parent Relationship": "Outer",
"Parallel Aware": false,
"Group Key": ["remote_scan.l_quantity"],
"Plans": [
{
"Node Type": "Custom Scan",
"Parent Relationship": "Outer",
"Custom Plan Provider": "Citus Real-Time",
"Parallel Aware": false,
"Distributed Query": {
"Job": {
"Task Count": 2,
"Tasks Shown": "One of 2",
"Tasks": [
{
"Node": "host=localhost port=57637 dbname=regression",
"Remote Plan": [
[
{
"Plan": {
"Node Type": "Aggregate",
"Strategy": "Hashed",
"Partial Mode": "Simple",
"Parallel Aware": false,
"Group Key": ["l_quantity"],
"Plans": [
{
"Node Type": "Seq Scan",
"Parent Relationship": "Outer",
"Parallel Aware": false,
"Relation Name": "lineitem_290001",
"Alias": "lineitem"
}
]
}
}
]
]
}
]
}
}
}
]
}
]
}
}
]
-- Validate JSON format
SELECT true AS valid FROM explain_json($$
SELECT l_quantity, count(*) count_quantity FROM lineitem
GROUP BY l_quantity ORDER BY count_quantity, l_quantity$$);
t
-- Test XML format
EXPLAIN (COSTS FALSE, FORMAT XML)
SELECT l_quantity, count(*) count_quantity FROM lineitem
GROUP BY l_quantity ORDER BY count_quantity, l_quantity;
<explain xmlns="http://www.postgresql.org/2009/explain">
<Query>
<Plan>
<Node-Type>Sort</Node-Type>
<Parallel-Aware>false</Parallel-Aware>
<Sort-Key>
<Item>COALESCE((pg_catalog.sum((COALESCE((pg_catalog.sum(remote_scan.count_quantity))::bigint, '0'::bigint))))::bigint, '0'::bigint)</Item>
<Item>remote_scan.l_quantity</Item>
</Sort-Key>
<Plans>
<Plan>
<Node-Type>Aggregate</Node-Type>
<Strategy>Hashed</Strategy>
<Partial-Mode>Simple</Partial-Mode>
<Parent-Relationship>Outer</Parent-Relationship>
<Parallel-Aware>false</Parallel-Aware>
<Group-Key>
<Item>remote_scan.l_quantity</Item>
</Group-Key>
<Plans>
<Plan>
<Node-Type>Custom Scan</Node-Type>
<Parent-Relationship>Outer</Parent-Relationship>
<Custom-Plan-Provider>Citus Real-Time</Custom-Plan-Provider>
<Parallel-Aware>false</Parallel-Aware>
<Distributed-Query>
<Job>
<Task-Count>2</Task-Count>
<Tasks-Shown>One of 2</Tasks-Shown>
<Tasks>
<Task>
<Node>host=localhost port=57637 dbname=regression</Node>
<Remote-Plan>
<explain xmlns="http://www.postgresql.org/2009/explain">
<Query>
<Plan>
<Node-Type>Aggregate</Node-Type>
<Strategy>Hashed</Strategy>
<Partial-Mode>Simple</Partial-Mode>
<Parallel-Aware>false</Parallel-Aware>
<Group-Key>
<Item>l_quantity</Item>
</Group-Key>
<Plans>
<Plan>
<Node-Type>Seq Scan</Node-Type>
<Parent-Relationship>Outer</Parent-Relationship>
<Parallel-Aware>false</Parallel-Aware>
<Relation-Name>lineitem_290001</Relation-Name>
<Alias>lineitem</Alias>
</Plan>
</Plans>
</Plan>
</Query>
</explain>
</Remote-Plan>
</Task>
</Tasks>
</Job>
</Distributed-Query>
</Plan>
</Plans>
</Plan>
</Plans>
</Plan>
</Query>
</explain>
-- Validate XML format
SELECT true AS valid FROM explain_xml($$
SELECT l_quantity, count(*) count_quantity FROM lineitem
GROUP BY l_quantity ORDER BY count_quantity, l_quantity$$);
t
-- Test YAML format
EXPLAIN (COSTS FALSE, FORMAT YAML)
SELECT l_quantity, count(*) count_quantity FROM lineitem
GROUP BY l_quantity ORDER BY count_quantity, l_quantity;
- Plan:
Node Type: "Sort"
Parallel Aware: false
Sort Key:
- "COALESCE((pg_catalog.sum((COALESCE((pg_catalog.sum(remote_scan.count_quantity))::bigint, '0'::bigint))))::bigint, '0'::bigint)"
- "remote_scan.l_quantity"
Plans:
- Node Type: "Aggregate"
Strategy: "Hashed"
Partial Mode: "Simple"
Parent Relationship: "Outer"
Parallel Aware: false
Group Key:
- "remote_scan.l_quantity"
Plans:
- Node Type: "Custom Scan"
Parent Relationship: "Outer"
Custom Plan Provider: "Citus Real-Time"
Parallel Aware: false
Distributed Query:
Job:
Task Count: 2
Tasks Shown: "One of 2"
Tasks:
- Node: "host=localhost port=57637 dbname=regression"
Remote Plan:
- Plan:
Node Type: "Aggregate"
Strategy: "Hashed"
Partial Mode: "Simple"
Parallel Aware: false
Group Key:
- "l_quantity"
Plans:
- Node Type: "Seq Scan"
Parent Relationship: "Outer"
Parallel Aware: false
Relation Name: "lineitem_290001"
Alias: "lineitem"
-- Test Text format
EXPLAIN (COSTS FALSE, FORMAT TEXT)
SELECT l_quantity, count(*) count_quantity FROM lineitem
GROUP BY l_quantity ORDER BY count_quantity, l_quantity;
Sort
Sort Key: COALESCE((pg_catalog.sum((COALESCE((pg_catalog.sum(remote_scan.count_quantity))::bigint, '0'::bigint))))::bigint, '0'::bigint), remote_scan.l_quantity
-> HashAggregate
Group Key: remote_scan.l_quantity
-> Custom Scan (Citus Real-Time)
Task Count: 2
Tasks Shown: One of 2
-> Task
Node: host=localhost port=57637 dbname=regression
-> HashAggregate
Group Key: l_quantity
-> Seq Scan on lineitem_290001 lineitem
-- Test verbose
EXPLAIN (COSTS FALSE, VERBOSE TRUE)
SELECT sum(l_quantity) / avg(l_quantity) FROM lineitem;
Aggregate
Output: (sum(remote_scan."?column?") / (sum(remote_scan."?column?_1") / pg_catalog.sum(remote_scan."?column?_2")))
-> Custom Scan (Citus Real-Time)
Output: remote_scan."?column?", remote_scan."?column?_1", remote_scan."?column?_2"
Task Count: 2
Tasks Shown: One of 2
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
Output: sum(l_quantity), sum(l_quantity), count(l_quantity)
-> Seq Scan on public.lineitem_290001 lineitem
Output: l_orderkey, l_partkey, l_suppkey, l_linenumber, l_quantity, l_extendedprice, l_discount, l_tax, l_returnflag, l_linestatus, l_shipdate, l_commitdate, l_receiptdate, l_shipinstruct, l_shipmode, l_comment
-- Test join
EXPLAIN (COSTS FALSE)
SELECT * FROM lineitem
JOIN orders ON l_orderkey = o_orderkey AND l_quantity < 5.0
ORDER BY l_quantity LIMIT 10;
Limit
-> Sort
Sort Key: remote_scan.l_quantity
-> Custom Scan (Citus Real-Time)
Task Count: 2
Tasks Shown: One of 2
-> Task
Node: host=localhost port=57637 dbname=regression
-> Limit
-> Sort
Sort Key: lineitem.l_quantity
-> Hash Join
Hash Cond: (lineitem.l_orderkey = orders.o_orderkey)
-> Seq Scan on lineitem_290001 lineitem
Filter: (l_quantity < 5.0)
-> Hash
-> Seq Scan on orders_290003 orders
-- Test insert
EXPLAIN (COSTS FALSE)
INSERT INTO lineitem VALUES (1,0), (2, 0), (3, 0), (4, 0);
Custom Scan (Citus Router)
Task Count: 1
Tasks Shown: All
-> Task
Node: host=localhost port=57638 dbname=regression
-> Insert on lineitem_290000 citus_table_alias
-> Values Scan on "*VALUES*"
-- Test update
EXPLAIN (COSTS FALSE)
UPDATE lineitem
SET l_suppkey = 12
WHERE l_orderkey = 1 AND l_partkey = 0;
Custom Scan (Citus Router)
Task Count: 1
Tasks Shown: All
-> Task
Node: host=localhost port=57638 dbname=regression
-> Update on lineitem_290000 lineitem
-> Index Scan using lineitem_pkey_290000 on lineitem_290000 lineitem
Index Cond: (l_orderkey = 1)
Filter: (l_partkey = 0)
-- Test delete
EXPLAIN (COSTS FALSE)
DELETE FROM lineitem
WHERE l_orderkey = 1 AND l_partkey = 0;
Custom Scan (Citus Router)
Task Count: 1
Tasks Shown: All
-> Task
Node: host=localhost port=57638 dbname=regression
-> Delete on lineitem_290000 lineitem
-> Index Scan using lineitem_pkey_290000 on lineitem_290000 lineitem
Index Cond: (l_orderkey = 1)
Filter: (l_partkey = 0)
-- Test zero-shard update
EXPLAIN (COSTS FALSE)
UPDATE lineitem
SET l_suppkey = 12
WHERE l_orderkey = 1 AND l_orderkey = 0;
Custom Scan (Citus Router)
Task Count: 0
Tasks Shown: All
-- Test zero-shard delete
EXPLAIN (COSTS FALSE)
DELETE FROM lineitem
WHERE l_orderkey = 1 AND l_orderkey = 0;
Custom Scan (Citus Router)
Task Count: 0
Tasks Shown: All
-- Test single-shard SELECT
EXPLAIN (COSTS FALSE)
SELECT l_quantity FROM lineitem WHERE l_orderkey = 5;
Custom Scan (Citus Router)
Task Count: 1
Tasks Shown: All
-> Task
Node: host=localhost port=57637 dbname=regression
-> Index Scan using lineitem_pkey_290000 on lineitem_290000 lineitem
Index Cond: (l_orderkey = 5)
SELECT true AS valid FROM explain_xml($$
SELECT l_quantity FROM lineitem WHERE l_orderkey = 5$$);
t
SELECT true AS valid FROM explain_json($$
SELECT l_quantity FROM lineitem WHERE l_orderkey = 5$$);
t
-- Test CREATE TABLE ... AS
EXPLAIN (COSTS FALSE)
CREATE TABLE explain_result AS
SELECT * FROM lineitem;
Custom Scan (Citus Real-Time)
Task Count: 2
Tasks Shown: One of 2
-> Task
Node: host=localhost port=57637 dbname=regression
-> Seq Scan on lineitem_290001 lineitem
-- Test having
EXPLAIN (COSTS FALSE, VERBOSE TRUE)
SELECT sum(l_quantity) / avg(l_quantity) FROM lineitem
HAVING sum(l_quantity) > 100;
Aggregate
Output: (sum(remote_scan."?column?") / (sum(remote_scan."?column?_1") / pg_catalog.sum(remote_scan."?column?_2")))
Filter: (sum(remote_scan.worker_column_4) > '100'::numeric)
-> Custom Scan (Citus Real-Time)
Output: remote_scan."?column?", remote_scan."?column?_1", remote_scan."?column?_2", remote_scan.worker_column_4
Task Count: 2
Tasks Shown: One of 2
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
Output: sum(l_quantity), sum(l_quantity), count(l_quantity), sum(l_quantity)
-> Seq Scan on public.lineitem_290001 lineitem
Output: l_orderkey, l_partkey, l_suppkey, l_linenumber, l_quantity, l_extendedprice, l_discount, l_tax, l_returnflag, l_linestatus, l_shipdate, l_commitdate, l_receiptdate, l_shipinstruct, l_shipmode, l_comment
-- Test having without aggregate
EXPLAIN (COSTS FALSE, VERBOSE TRUE)
SELECT l_quantity FROM lineitem
GROUP BY l_quantity
HAVING l_quantity > (100 * random());
HashAggregate
Output: remote_scan.l_quantity
Group Key: remote_scan.l_quantity
Filter: ((remote_scan.worker_column_2)::double precision > ('100'::double precision * random()))
-> Custom Scan (Citus Real-Time)
Output: remote_scan.l_quantity, remote_scan.worker_column_2
Task Count: 2
Tasks Shown: One of 2
-> Task
Node: host=localhost port=57637 dbname=regression
-> HashAggregate
Output: l_quantity, l_quantity
Group Key: lineitem.l_quantity
-> Seq Scan on public.lineitem_290001 lineitem
Output: l_orderkey, l_partkey, l_suppkey, l_linenumber, l_quantity, l_extendedprice, l_discount, l_tax, l_returnflag, l_linestatus, l_shipdate, l_commitdate, l_receiptdate, l_shipinstruct, l_shipmode, l_comment
-- Subquery pushdown tests with explain
EXPLAIN (COSTS OFF)
SELECT
avg(array_length(events, 1)) AS event_average
FROM
(SELECT
tenant_id,
user_id,
array_agg(event_type ORDER BY event_time) AS events
FROM
(SELECT
(users.composite_id).tenant_id,
(users.composite_id).user_id,
event_type,
events.event_time
FROM
users,
events
WHERE
(users.composite_id) = (events.composite_id) AND
users.composite_id >= '(1, -9223372036854775808)'::user_composite_type AND
users.composite_id <= '(1, 9223372036854775807)'::user_composite_type AND
event_type IN ('click', 'submit', 'pay')) AS subquery
GROUP BY
tenant_id,
user_id) AS subquery;
Aggregate
-> Custom Scan (Citus Real-Time)
Task Count: 4
Tasks Shown: One of 4
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> GroupAggregate
Group Key: ((users.composite_id).tenant_id), ((users.composite_id).user_id)
-> Sort
Sort Key: ((users.composite_id).tenant_id), ((users.composite_id).user_id)
-> Hash Join
Hash Cond: (users.composite_id = events.composite_id)
-> Seq Scan on users_1400033 users
Filter: ((composite_id >= '(1,-9223372036854775808)'::user_composite_type) AND (composite_id <= '(1,9223372036854775807)'::user_composite_type))
-> Hash
-> Seq Scan on events_1400029 events
Filter: ((event_type)::text = ANY ('{click,submit,pay}'::text[]))
-- Union and left join subquery pushdown
EXPLAIN (COSTS OFF)
SELECT
avg(array_length(events, 1)) AS event_average,
hasdone
FROM
(SELECT
subquery_1.tenant_id,
subquery_1.user_id,
array_agg(event ORDER BY event_time) AS events,
COALESCE(hasdone, 'Has not done paying') AS hasdone
FROM
(
(SELECT
(users.composite_id).tenant_id,
(users.composite_id).user_id,
(users.composite_id) as composite_id,
'action=>1'AS event,
events.event_time
FROM
users,
events
WHERE
(users.composite_id) = (events.composite_id) AND
users.composite_id >= '(1, -9223372036854775808)'::user_composite_type AND
users.composite_id <= '(1, 9223372036854775807)'::user_composite_type AND
event_type = 'click')
UNION
(SELECT
(users.composite_id).tenant_id,
(users.composite_id).user_id,
(users.composite_id) as composite_id,
'action=>2'AS event,
events.event_time
FROM
users,
events
WHERE
(users.composite_id) = (events.composite_id) AND
users.composite_id >= '(1, -9223372036854775808)'::user_composite_type AND
users.composite_id <= '(1, 9223372036854775807)'::user_composite_type AND
event_type = 'submit')
) AS subquery_1
LEFT JOIN
(SELECT
DISTINCT ON ((composite_id).tenant_id, (composite_id).user_id) composite_id,
(composite_id).tenant_id,
(composite_id).user_id,
'Has done paying'::TEXT AS hasdone
FROM
events
WHERE
events.composite_id >= '(1, -9223372036854775808)'::user_composite_type AND
events.composite_id <= '(1, 9223372036854775807)'::user_composite_type AND
event_type = 'pay') AS subquery_2
ON
subquery_1.composite_id = subquery_2.composite_id
GROUP BY
subquery_1.tenant_id,
subquery_1.user_id,
hasdone) AS subquery_top
GROUP BY
hasdone;
HashAggregate
Group Key: remote_scan.hasdone
-> Custom Scan (Citus Real-Time)
Task Count: 4
Tasks Shown: One of 4
-> Task
Node: host=localhost port=57637 dbname=regression
-> GroupAggregate
Group Key: subquery_top.hasdone
-> Sort
Sort Key: subquery_top.hasdone
-> Subquery Scan on subquery_top
-> GroupAggregate
Group Key: ((users.composite_id).tenant_id), ((users.composite_id).user_id), subquery_2.hasdone
-> Sort
Sort Key: ((users.composite_id).tenant_id), ((users.composite_id).user_id), subquery_2.hasdone
-> Hash Left Join
Hash Cond: (users.composite_id = subquery_2.composite_id)
-> HashAggregate
Group Key: ((users.composite_id).tenant_id), ((users.composite_id).user_id), users.composite_id, ('action=>1'::text), events.event_time
-> Append
-> Hash Join
Hash Cond: (users.composite_id = events.composite_id)
-> Seq Scan on users_1400033 users
Filter: ((composite_id >= '(1,-9223372036854775808)'::user_composite_type) AND (composite_id <= '(1,9223372036854775807)'::user_composite_type))
-> Hash
-> Seq Scan on events_1400029 events
Filter: ((event_type)::text = 'click'::text)
-> Hash Join
Hash Cond: (users_1.composite_id = events_1.composite_id)
-> Seq Scan on users_1400033 users_1
Filter: ((composite_id >= '(1,-9223372036854775808)'::user_composite_type) AND (composite_id <= '(1,9223372036854775807)'::user_composite_type))
-> Hash
-> Seq Scan on events_1400029 events_1
Filter: ((event_type)::text = 'submit'::text)
-> Hash
-> Subquery Scan on subquery_2
-> Unique
-> Sort
Sort Key: ((events_2.composite_id).tenant_id), ((events_2.composite_id).user_id)
-> Seq Scan on events_1400029 events_2
Filter: ((composite_id >= '(1,-9223372036854775808)'::user_composite_type) AND (composite_id <= '(1,9223372036854775807)'::user_composite_type) AND ((event_type)::text = 'pay'::text))
-- Union, left join and having subquery pushdown
EXPLAIN (COSTS OFF)
SELECT
avg(array_length(events, 1)) AS event_average,
count_pay
FROM (
SELECT
subquery_1.tenant_id,
subquery_1.user_id,
array_agg(event ORDER BY event_time) AS events,
COALESCE(count_pay, 0) AS count_pay
FROM
(
(SELECT
(users.composite_id).tenant_id,
(users.composite_id).user_id,
(users.composite_id),
'action=>1'AS event,
events.event_time
FROM
users,
events
WHERE
(users.composite_id) = (events.composite_id) AND
users.composite_id >= '(1, -9223372036854775808)'::user_composite_type AND
users.composite_id <= '(1, 9223372036854775807)'::user_composite_type AND
event_type = 'click')
UNION
(SELECT
(users.composite_id).tenant_id,
(users.composite_id).user_id,
(users.composite_id),
'action=>2'AS event,
events.event_time
FROM
users,
events
WHERE
(users.composite_id) = (events.composite_id) AND
users.composite_id >= '(1, -9223372036854775808)'::user_composite_type AND
users.composite_id <= '(1, 9223372036854775807)'::user_composite_type AND
event_type = 'submit')
) AS subquery_1
LEFT JOIN
(SELECT
(composite_id).tenant_id,
(composite_id).user_id,
composite_id,
COUNT(*) AS count_pay
FROM
events
WHERE
events.composite_id >= '(1, -9223372036854775808)'::user_composite_type AND
events.composite_id <= '(1, 9223372036854775807)'::user_composite_type AND
event_type = 'pay'
GROUP BY
composite_id
HAVING
COUNT(*) > 2) AS subquery_2
ON
subquery_1.composite_id = subquery_2.composite_id
GROUP BY
subquery_1.tenant_id,
subquery_1.user_id,
count_pay) AS subquery_top
WHERE
array_ndims(events) > 0
GROUP BY
count_pay
ORDER BY
count_pay;
ERROR: bogus varattno for OUTER_VAR var: 3
-- Lateral join subquery pushdown
-- set subquery_pushdown due to limit in the query
SET citus.subquery_pushdown to ON;
EXPLAIN (COSTS OFF)
SELECT
tenant_id,
user_id,
user_lastseen,
event_array
FROM
(SELECT
tenant_id,
user_id,
max(lastseen) as user_lastseen,
array_agg(event_type ORDER BY event_time) AS event_array
FROM
(SELECT
(composite_id).tenant_id,
(composite_id).user_id,
composite_id,
lastseen
FROM
users
WHERE
composite_id >= '(1, -9223372036854775808)'::user_composite_type AND
composite_id <= '(1, 9223372036854775807)'::user_composite_type
ORDER BY
lastseen DESC
LIMIT
10
) AS subquery_top
LEFT JOIN LATERAL
(SELECT
event_type,
event_time
FROM
events
WHERE
(composite_id) = subquery_top.composite_id
ORDER BY
event_time DESC
LIMIT
99) AS subquery_lateral
ON
true
GROUP BY
tenant_id,
user_id
) AS shard_union
ORDER BY
user_lastseen DESC
LIMIT
10;
Limit
-> Sort
Sort Key: remote_scan.user_lastseen DESC
-> Custom Scan (Citus Real-Time)
Task Count: 4
Tasks Shown: One of 4
-> Task
Node: host=localhost port=57637 dbname=regression
-> Limit
-> Sort
Sort Key: (max(users.lastseen)) DESC
-> GroupAggregate
Group Key: ((users.composite_id).tenant_id), ((users.composite_id).user_id)
-> Sort
Sort Key: ((users.composite_id).tenant_id), ((users.composite_id).user_id)
-> Nested Loop Left Join
-> Limit
-> Sort
Sort Key: users.lastseen DESC
-> Seq Scan on users_1400033 users
Filter: ((composite_id >= '(1,-9223372036854775808)'::user_composite_type) AND (composite_id <= '(1,9223372036854775807)'::user_composite_type))
-> Limit
-> Sort
Sort Key: events.event_time DESC
-> Seq Scan on events_1400029 events
Filter: (composite_id = users.composite_id)
RESET citus.subquery_pushdown;
-- Test all tasks output
SET citus.explain_all_tasks TO on;
EXPLAIN (COSTS FALSE)
SELECT avg(l_linenumber) FROM lineitem WHERE l_orderkey > 9030;
Aggregate
-> Custom Scan (Citus Real-Time)
Task Count: 1
Tasks Shown: All
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_290001 lineitem
Filter: (l_orderkey > 9030)
SELECT true AS valid FROM explain_xml($$
SELECT avg(l_linenumber) FROM lineitem WHERE l_orderkey > 9030$$);
t
SELECT true AS valid FROM explain_json($$
SELECT avg(l_linenumber) FROM lineitem WHERE l_orderkey > 9030$$);
t
-- Test multi shard update
EXPLAIN (COSTS FALSE)
UPDATE lineitem_hash_part
SET l_suppkey = 12;
Custom Scan (Citus Router)
Task Count: 4
Tasks Shown: All
-> Task
Node: host=localhost port=57637 dbname=regression
-> Update on lineitem_hash_part_360041 lineitem_hash_part
-> Seq Scan on lineitem_hash_part_360041 lineitem_hash_part
-> Task
Node: host=localhost port=57638 dbname=regression
-> Update on lineitem_hash_part_360042 lineitem_hash_part
-> Seq Scan on lineitem_hash_part_360042 lineitem_hash_part
-> Task
Node: host=localhost port=57637 dbname=regression
-> Update on lineitem_hash_part_360043 lineitem_hash_part
-> Seq Scan on lineitem_hash_part_360043 lineitem_hash_part
-> Task
Node: host=localhost port=57638 dbname=regression
-> Update on lineitem_hash_part_360044 lineitem_hash_part
-> Seq Scan on lineitem_hash_part_360044 lineitem_hash_part
EXPLAIN (COSTS FALSE)
UPDATE lineitem_hash_part
SET l_suppkey = 12
WHERE l_orderkey = 1 OR l_orderkey = 3;
Custom Scan (Citus Router)
Task Count: 2
Tasks Shown: All
-> Task
Node: host=localhost port=57637 dbname=regression
-> Update on lineitem_hash_part_360041 lineitem_hash_part
-> Seq Scan on lineitem_hash_part_360041 lineitem_hash_part
Filter: ((l_orderkey = 1) OR (l_orderkey = 3))
-> Task
Node: host=localhost port=57638 dbname=regression
-> Update on lineitem_hash_part_360042 lineitem_hash_part
-> Seq Scan on lineitem_hash_part_360042 lineitem_hash_part
Filter: ((l_orderkey = 1) OR (l_orderkey = 3))
-- Test multi shard delete
EXPLAIN (COSTS FALSE)
DELETE FROM lineitem_hash_part;
Custom Scan (Citus Router)
Task Count: 4
Tasks Shown: All
-> Task
Node: host=localhost port=57637 dbname=regression
-> Delete on lineitem_hash_part_360041 lineitem_hash_part
-> Seq Scan on lineitem_hash_part_360041 lineitem_hash_part
-> Task
Node: host=localhost port=57638 dbname=regression
-> Delete on lineitem_hash_part_360042 lineitem_hash_part
-> Seq Scan on lineitem_hash_part_360042 lineitem_hash_part
-> Task
Node: host=localhost port=57637 dbname=regression
-> Delete on lineitem_hash_part_360043 lineitem_hash_part
-> Seq Scan on lineitem_hash_part_360043 lineitem_hash_part
-> Task
Node: host=localhost port=57638 dbname=regression
-> Delete on lineitem_hash_part_360044 lineitem_hash_part
-> Seq Scan on lineitem_hash_part_360044 lineitem_hash_part
-- Test track tracker
SET citus.task_executor_type TO 'task-tracker';
SET citus.explain_all_tasks TO off;
EXPLAIN (COSTS FALSE)
SELECT avg(l_linenumber) FROM lineitem WHERE l_orderkey > 9030;
Aggregate
-> Custom Scan (Citus Task-Tracker)
Task Count: 1
Tasks Shown: All
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_290001 lineitem
Filter: (l_orderkey > 9030)
-- Test re-partition join
SET citus.large_table_shard_count TO 1;
EXPLAIN (COSTS FALSE)
SELECT count(*)
FROM lineitem, orders, customer_append, supplier_single_shard
WHERE l_orderkey = o_orderkey
AND o_custkey = c_custkey
AND l_suppkey = s_suppkey;
Aggregate
-> Custom Scan (Citus Task-Tracker)
Task Count: 1
Tasks Shown: None, not supported for re-partition queries
-> MapMergeJob
Map Task Count: 1
Merge Task Count: 1
-> MapMergeJob
Map Task Count: 2
Merge Task Count: 1
EXPLAIN (COSTS FALSE, FORMAT JSON)
SELECT count(*)
FROM lineitem, orders, customer_append, supplier_single_shard
WHERE l_orderkey = o_orderkey
AND o_custkey = c_custkey
AND l_suppkey = s_suppkey;
[
{
"Plan": {
"Node Type": "Aggregate",
"Strategy": "Plain",
"Partial Mode": "Simple",
"Parallel Aware": false,
"Plans": [
{
"Node Type": "Custom Scan",
"Parent Relationship": "Outer",
"Custom Plan Provider": "Citus Task-Tracker",
"Parallel Aware": false,
"Distributed Query": {
"Job": {
"Task Count": 1,
"Tasks Shown": "None, not supported for re-partition queries",
"Depended Jobs": [
{
"Map Task Count": 1,
"Merge Task Count": 1,
"Depended Jobs": [
{
"Map Task Count": 2,
"Merge Task Count": 1
}
]
}
]
}
}
}
]
}
}
]
SELECT true AS valid FROM explain_json($$
SELECT count(*)
FROM lineitem, orders, customer_append, supplier_single_shard
WHERE l_orderkey = o_orderkey
AND o_custkey = c_custkey
AND l_suppkey = s_suppkey$$);
t
EXPLAIN (COSTS FALSE, FORMAT XML)
SELECT count(*)
FROM lineitem, orders, customer_append, supplier_single_shard
WHERE l_orderkey = o_orderkey
AND o_custkey = c_custkey
AND l_suppkey = s_suppkey;
<explain xmlns="http://www.postgresql.org/2009/explain">
<Query>
<Plan>
<Node-Type>Aggregate</Node-Type>
<Strategy>Plain</Strategy>
<Partial-Mode>Simple</Partial-Mode>
<Parallel-Aware>false</Parallel-Aware>
<Plans>
<Plan>
<Node-Type>Custom Scan</Node-Type>
<Parent-Relationship>Outer</Parent-Relationship>
<Custom-Plan-Provider>Citus Task-Tracker</Custom-Plan-Provider>
<Parallel-Aware>false</Parallel-Aware>
<Distributed-Query>
<Job>
<Task-Count>1</Task-Count>
<Tasks-Shown>None, not supported for re-partition queries</Tasks-Shown>
<Depended-Jobs>
<MapMergeJob>
<Map-Task-Count>1</Map-Task-Count>
<Merge-Task-Count>1</Merge-Task-Count>
<Depended-Jobs>
<MapMergeJob>
<Map-Task-Count>2</Map-Task-Count>
<Merge-Task-Count>1</Merge-Task-Count>
</MapMergeJob>
</Depended-Jobs>
</MapMergeJob>
</Depended-Jobs>
</Job>
</Distributed-Query>
</Plan>
</Plans>
</Plan>
</Query>
</explain>
SELECT true AS valid FROM explain_xml($$
SELECT count(*)
FROM lineitem, orders, customer_append, supplier
WHERE l_orderkey = o_orderkey
AND o_custkey = c_custkey
AND l_suppkey = s_suppkey$$);
t
-- make sure that EXPLAIN works without
-- problems for queries that inlvolves only
-- reference tables
SELECT true AS valid FROM explain_xml($$
SELECT count(*)
FROM nation
WHERE n_name = 'CHINA'$$);
t
SELECT true AS valid FROM explain_xml($$
SELECT count(*)
FROM nation, supplier
WHERE nation.n_nationkey = supplier.s_nationkey$$);
t
EXPLAIN (COSTS FALSE, FORMAT YAML)
SELECT count(*)
FROM lineitem, orders, customer, supplier_single_shard
WHERE l_orderkey = o_orderkey
AND o_custkey = c_custkey
AND l_suppkey = s_suppkey;
- Plan:
Node Type: "Aggregate"
Strategy: "Plain"
Partial Mode: "Simple"
Parallel Aware: false
Plans:
- Node Type: "Custom Scan"
Parent Relationship: "Outer"
Custom Plan Provider: "Citus Task-Tracker"
Parallel Aware: false
Distributed Query:
Job:
Task Count: 1
Tasks Shown: "None, not supported for re-partition queries"
Depended Jobs:
- Map Task Count: 2
Merge Task Count: 1
-- test parallel aggregates
SET parallel_setup_cost=0;
SET parallel_tuple_cost=0;
SET min_parallel_relation_size=0;
SET min_parallel_table_scan_size=0;
ERROR: unrecognized configuration parameter "min_parallel_table_scan_size"
SET max_parallel_workers_per_gather=4;
-- ensure local plans display correctly
CREATE TABLE lineitem_clone (LIKE lineitem);
EXPLAIN (COSTS FALSE) SELECT avg(l_linenumber) FROM lineitem_clone;
Finalize Aggregate
-> Gather
Workers Planned: 3
-> Partial Aggregate
-> Parallel Seq Scan on lineitem_clone
-- ensure distributed plans don't break
EXPLAIN (COSTS FALSE) SELECT avg(l_linenumber) FROM lineitem;
Aggregate
-> Custom Scan (Citus Task-Tracker)
Task Count: 2
Tasks Shown: One of 2
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_290001 lineitem
-- ensure EXPLAIN EXECUTE doesn't crash
PREPARE task_tracker_query AS
SELECT avg(l_linenumber) FROM lineitem WHERE l_orderkey > 9030;
EXPLAIN (COSTS FALSE) EXECUTE task_tracker_query;
Aggregate
-> Custom Scan (Citus Task-Tracker)
Task Count: 1
Tasks Shown: All
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_290001 lineitem
Filter: (l_orderkey > 9030)
SET citus.task_executor_type TO 'real-time';
PREPARE router_executor_query AS SELECT l_quantity FROM lineitem WHERE l_orderkey = 5;
EXPLAIN EXECUTE router_executor_query;
Custom Scan (Citus Router) (cost=0.00..0.00 rows=0 width=0)
Task Count: 1
Tasks Shown: All
-> Task
Node: host=localhost port=57637 dbname=regression
-> Index Scan using lineitem_pkey_290000 on lineitem_290000 lineitem (cost=0.28..13.60 rows=4 width=5)
Index Cond: (l_orderkey = 5)
PREPARE real_time_executor_query AS
SELECT avg(l_linenumber) FROM lineitem WHERE l_orderkey > 9030;
EXPLAIN (COSTS FALSE) EXECUTE real_time_executor_query;
Aggregate
-> Custom Scan (Citus Real-Time)
Task Count: 1
Tasks Shown: All
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_290001 lineitem
Filter: (l_orderkey > 9030)
-- EXPLAIN EXECUTE of parametrized prepared statements is broken, but
-- at least make sure to fail without crashing
PREPARE router_executor_query_param(int) AS SELECT l_quantity FROM lineitem WHERE l_orderkey = $1;
EXPLAIN EXECUTE router_executor_query_param(5);
Custom Scan (Citus Router) (cost=0.00..0.00 rows=0 width=0)
Task Count: 1
Tasks Shown: All
-> Task
Node: host=localhost port=57637 dbname=regression
-> Index Scan using lineitem_pkey_290000 on lineitem_290000 lineitem (cost=0.28..13.60 rows=4 width=5)
Index Cond: (l_orderkey = 5)
-- test explain in a transaction with alter table to test we use right connections
BEGIN;
CREATE TABLE explain_table(id int);
SELECT create_distributed_table('explain_table', 'id');
ALTER TABLE explain_table ADD COLUMN value int;
ROLLBACK;
-- test explain with local INSERT ... SELECT
EXPLAIN (COSTS OFF)
INSERT INTO lineitem_hash_part
SELECT o_orderkey FROM orders_hash_part LIMIT 3;
Custom Scan (Citus INSERT ... SELECT via coordinator)
-> Limit
-> Custom Scan (Citus Real-Time)
Task Count: 4
Tasks Shown: One of 4
-> Task
Node: host=localhost port=57637 dbname=regression
-> Limit
-> Seq Scan on orders_hash_part_360046 orders_hash_part
SELECT true AS valid FROM explain_json($$
INSERT INTO lineitem_hash_part (l_orderkey)
SELECT o_orderkey FROM orders_hash_part LIMIT 3;
$$);
t
EXPLAIN (COSTS OFF)
INSERT INTO lineitem_hash_part (l_orderkey, l_quantity)
SELECT o_orderkey, 5 FROM orders_hash_part LIMIT 3;
Custom Scan (Citus INSERT ... SELECT via coordinator)
-> Limit
-> Custom Scan (Citus Real-Time)
Task Count: 4
Tasks Shown: One of 4
-> Task
Node: host=localhost port=57637 dbname=regression
-> Limit
-> Seq Scan on orders_hash_part_360046 orders_hash_part
EXPLAIN (COSTS OFF)
INSERT INTO lineitem_hash_part (l_orderkey)
SELECT s FROM generate_series(1,5) s;
Custom Scan (Citus INSERT ... SELECT via coordinator)
-> Function Scan on generate_series s
EXPLAIN (COSTS OFF)
WITH cte1 AS (SELECT s FROM generate_series(1,10) s)
INSERT INTO lineitem_hash_part
WITH cte1 AS (SELECT * FROM cte1 LIMIT 5)
SELECT s FROM cte1;
Custom Scan (Citus INSERT ... SELECT via coordinator)
-> CTE Scan on cte1
CTE cte1
-> Function Scan on generate_series s
CTE cte1
-> Limit
-> CTE Scan on cte1 cte1_1
EXPLAIN (COSTS OFF)
INSERT INTO lineitem_hash_part
( SELECT s FROM generate_series(1,5) s) UNION
( SELECT s FROM generate_series(5,10) s);
Custom Scan (Citus INSERT ... SELECT via coordinator)
-> HashAggregate
Group Key: s.s
-> Append
-> Function Scan on generate_series s
-> Function Scan on generate_series s_1
-- explain with recursive planning
EXPLAIN (COSTS OFF, VERBOSE true)
WITH keys AS (
SELECT DISTINCT l_orderkey FROM lineitem_hash_part
),
series AS (
SELECT s FROM generate_series(1,10) s
)
SELECT l_orderkey FROM series JOIN keys ON (s = l_orderkey)
ORDER BY s;
Custom Scan (Citus Router)
Output: remote_scan.l_orderkey
-> Distributed Subplan 55_1
-> HashAggregate
Output: remote_scan.l_orderkey
Group Key: remote_scan.l_orderkey
-> Custom Scan (Citus Real-Time)
Output: remote_scan.l_orderkey
Task Count: 4
Tasks Shown: One of 4
-> Task
Node: host=localhost port=57637 dbname=regression
-> HashAggregate
Output: l_orderkey
Group Key: lineitem_hash_part.l_orderkey
-> Seq Scan on public.lineitem_hash_part_360041 lineitem_hash_part
Output: l_orderkey, l_partkey, l_suppkey, l_linenumber, l_quantity, l_extendedprice, l_discount, l_tax, l_returnflag, l_linestatus, l_shipdate, l_commitdate, l_receiptdate, l_shipinstruct, l_shipmode, l_comment
-> Distributed Subplan 55_2
-> Function Scan on pg_catalog.generate_series s
Output: s
Function Call: generate_series(1, 10)
Task Count: 1
Tasks Shown: All
-> Task
Node: host=localhost port=57638 dbname=regression
-> Merge Join
Output: intermediate_result_1.l_orderkey, intermediate_result.s
Merge Cond: (intermediate_result.s = intermediate_result_1.l_orderkey)
-> Sort
Output: intermediate_result.s
Sort Key: intermediate_result.s
-> Function Scan on pg_catalog.read_intermediate_result intermediate_result
Output: intermediate_result.s
Function Call: read_intermediate_result('55_2'::text, 'binary'::citus_copy_format)
-> Sort
Output: intermediate_result_1.l_orderkey
Sort Key: intermediate_result_1.l_orderkey
-> Function Scan on pg_catalog.read_intermediate_result intermediate_result_1
Output: intermediate_result_1.l_orderkey
Function Call: read_intermediate_result('55_1'::text, 'binary'::citus_copy_format)
SELECT true AS valid FROM explain_json($$
WITH result AS (
SELECT l_quantity, count(*) count_quantity FROM lineitem
GROUP BY l_quantity ORDER BY count_quantity, l_quantity
),
series AS (
SELECT s FROM generate_series(1,10) s
)
SELECT * FROM result JOIN series ON (s = count_quantity) JOIN orders_hash_part ON (s = o_orderkey)
$$);
t
SELECT true AS valid FROM explain_xml($$
WITH result AS (
SELECT l_quantity, count(*) count_quantity FROM lineitem
GROUP BY l_quantity ORDER BY count_quantity, l_quantity
),
series AS (
SELECT s FROM generate_series(1,10) s
)
SELECT * FROM result JOIN series ON (s = l_quantity) JOIN orders_hash_part ON (s = o_orderkey)
$$);
t
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