mirror of https://github.com/citusdata/citus.git
855 lines
16 KiB
PL/PgSQL
855 lines
16 KiB
PL/PgSQL
-- ===================================================================
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-- test recursive planning functionality with subqueries in WHERE
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-- ===================================================================
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CREATE SCHEMA subquery_in_where;
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SET search_path TO subquery_in_where, public;
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SET client_min_messages TO DEBUG1;
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--CTEs can be used as a recurring tuple with subqueries in WHERE
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WITH event_id
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AS MATERIALIZED (SELECT user_id AS events_user_id,
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time AS events_time,
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event_type
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FROM events_table)
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SELECT Count(*)
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FROM event_id
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WHERE events_user_id IN (SELECT user_id
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FROM users_table);
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--Correlated subqueries can not be used in WHERE clause
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WITH event_id
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AS(SELECT user_id AS events_user_id,
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time AS events_time,
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event_type
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FROM events_table)
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SELECT Count(*)
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FROM event_id
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WHERE events_user_id IN (SELECT user_id
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FROM users_table
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WHERE users_table.time = events_time);
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-- Recurring tuples as empty join tree
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SELECT *
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FROM (SELECT 1 AS id, 2 AS value_1, 3 AS value_3
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UNION ALL SELECT 2 as id, 3 as value_1, 4 as value_3) AS tt1
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WHERE id IN (SELECT user_id
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FROM events_table);
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-- Recurring tuples in from clause as CTE and SET operation in WHERE clause
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SELECT Count(*)
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FROM (WITH event_id AS
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(SELECT user_id AS events_user_id, time AS events_time, event_type
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FROM events_table)
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SELECT events_user_id, events_time, event_type
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FROM event_id
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ORDER BY 1,2,3
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LIMIT 10) AS sub_table
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WHERE events_user_id IN (
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(SELECT user_id
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FROM users_table
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ORDER BY 1
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LIMIT 10)
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UNION ALL
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(SELECT value_1
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FROM users_table
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ORDER BY 1
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limit 10));
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-- Recurring tuples in from clause as SET operation on recursively plannable
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-- queries and CTE in WHERE clause
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SELECT
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*
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FROM
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(
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(SELECT
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user_id
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FROM
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users_table
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ORDER BY
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user_id ASC
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LIMIT
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10
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)
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UNION ALL
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(SELECT
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value_1
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FROM
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users_table
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ORDER BY
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value_1 ASC
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LIMIT
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10
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)
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) as SUB_TABLE
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WHERE
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user_id
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IN
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(
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WITH event_id AS (
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SELECT
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user_id as events_user_id, time as events_time, event_type
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FROM
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events_table
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)
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SELECT
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events_user_id
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FROM
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event_id
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ORDER BY
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events_user_id
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LIMIT
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10
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);
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-- Complex target list in WHERE clause
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SELECT
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COUNT(*)
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FROM
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(SELECT
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user_id as events_user_id, time as events_time, event_type
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FROM
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events_table
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ORDER BY
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1,2
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LIMIT
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10
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) as SUB_TABLE
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WHERE
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events_user_id
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<=ANY (
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SELECT
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max(abs(user_id * 1) + mod(user_id, 3)) as val_1
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FROM
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users_table
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GROUP BY
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user_id
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);
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-- DISTINCT clause in WHERE
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SELECT
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COUNT(*)
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FROM
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(SELECT
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user_id as events_user_id, time as events_time, event_type
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FROM
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events_table
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LIMIT
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10
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) as SUB_TABLE
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WHERE
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events_user_id
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IN (
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SELECT
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distinct user_id
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FROM
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users_table
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GROUP BY
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user_id
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);
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-- AND in WHERE clause
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SELECT
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COUNT(*)
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FROM
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(SELECT
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user_id as events_user_id, time as events_time, event_type
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FROM
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events_table
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ORDER BY
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1,2,3
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LIMIT
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10
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) as SUB_TABLE
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WHERE
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events_user_id
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>=ANY (
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SELECT
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min(user_id)
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FROM
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users_table
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GROUP BY
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user_id
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)
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AND
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events_user_id
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<=ANY (
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SELECT
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max(user_id)
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FROM
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users_table
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GROUP BY
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user_id
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);
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-- AND in WHERE clause, part of the AND is pushdownable other is not
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SELECT
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COUNT(*)
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FROM
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(SELECT
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user_id as events_user_id, time as events_time, event_type
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FROM
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events_table
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ORDER BY
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1,2,3
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LIMIT
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10
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) as SUB_TABLE
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WHERE
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events_user_id
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>=ANY (
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SELECT
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min(user_id)
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FROM
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users_table
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GROUP BY
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user_id
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)
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AND
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events_user_id
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<=ANY (
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SELECT
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max(value_2)
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FROM
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users_table
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GROUP BY
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user_id
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);
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-- Planning subqueries in WHERE clause in CTE recursively
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WITH cte AS (
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SELECT
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*
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FROM
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(SELECT
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*
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FROM
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users_table
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ORDER BY
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user_id ASC,
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value_2 DESC
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LIMIT
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10
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) as sub_table
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WHERE
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user_id
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IN
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(SELECT
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value_2
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FROM
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events_table
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)
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)
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SELECT
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COUNT(*)
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FROM
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cte;
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-- Planing subquery in WHERE clause in FROM clause of a subquery recursively
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SELECT
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COUNT(*)
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FROM
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(SELECT
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*
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FROM
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(SELECT
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*
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FROM
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users_table
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ORDER BY
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user_id ASC,
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value_2 DESC
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LIMIT
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10
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) as sub_table_1
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WHERE
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user_id
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IN
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(SELECT
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value_2
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FROM
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events_table
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)
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) as sub_table_2;
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-- Recurring table in the FROM clause of a subquery in the FROM clause
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-- Recurring table is created by joining a two recurrign table
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SELECT
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SUM(user_id)
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FROM
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(SELECT
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*
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FROM
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(SELECT
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user_id
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FROM
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users_table
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ORDER BY
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user_id
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LIMIT 10) as t1
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INNER JOIN
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(SELECT
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user_id as user_id_2
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FROM
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users_table
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ORDER BY
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user_id
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LIMIT
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10) as t2
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ON
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t1.user_id = t2.user_id_2
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WHERE
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t1.user_id
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IN
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(SELECT
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value_2
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FROM
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events_table)
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) as t3
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WHERE
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user_id
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>ANY
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(SELECT
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min(user_id)
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FROM
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events_table
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GROUP BY
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user_id);
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-- Same example with the above query, but now check the rows with EXISTS
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SELECT
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SUM(user_id)
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FROM
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(SELECT
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*
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FROM
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(SELECT
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user_id
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FROM
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users_table
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ORDER BY
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user_id
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LIMIT 10) as t1
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INNER JOIN
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(SELECT
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user_id as user_id_2
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FROM
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users_table
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ORDER BY
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user_id
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LIMIT
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10) as t2
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ON
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t1.user_id = t2.user_id_2
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WHERE
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t1.user_id
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IN
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(SELECT
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value_2
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FROM
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events_table)
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) as t3
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WHERE EXISTS
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(SELECT
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1,2
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FROM
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events_table
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WHERE
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events_table.value_2 = events_table.user_id);
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-- Same query with the above one, yet now we check the row's NON-existence
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-- by NOT EXISTS. Note that, max value_2 of events_table is 5
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SELECT
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SUM(user_id)
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FROM
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(SELECT
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*
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FROM
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(SELECT
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user_id
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FROM
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users_table
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ORDER BY
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user_id
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LIMIT 10) as t1
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INNER JOIN
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(SELECT
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user_id as user_id_2
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FROM
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users_table
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ORDER BY
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user_id
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LIMIT
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10) as t2
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ON
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t1.user_id = t2.user_id_2
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WHERE
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t1.user_id
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IN
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(SELECT
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value_2
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FROM
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events_table)
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) as t3
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WHERE NOT EXISTS
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(SELECT
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1,2
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FROM
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events_table
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WHERE
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events_table.value_2 = events_table.user_id + 6);
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-- Check the existence of row by comparing it with the result of subquery in
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-- WHERE clause. Note that subquery is planned recursively since there is no
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-- distributed table in the from
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SELECT
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*
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FROM
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(SELECT
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user_id, value_1
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FROM
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users_table
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ORDER BY
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user_id ASC,
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value_1 ASC
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LIMIT 10) as t3
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WHERE row(user_id, value_1) =
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(SELECT
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min(user_id) + 1, min(user_id) + 1
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FROM
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events_table);
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-- Recursively plan subquery in WHERE clause when the FROM clause has a subquery
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-- generated by generate_series function
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SELECT
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*
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FROM
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(SELECT
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*
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FROM
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generate_series(1,10)
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) as gst
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WHERE
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generate_series
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IN
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(SELECT
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value_2
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FROM
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events_table
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)
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ORDER BY
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generate_series ASC;
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-- Similar to the test above, now we also have a generate_series in WHERE clause
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SELECT
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*
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FROM
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(SELECT
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*
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FROM
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generate_series(1,10)
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) as gst
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WHERE
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generate_series
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IN
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(SELECT
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user_id
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FROM
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users_table
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WHERE
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user_id
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IN
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(SELECT
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*
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FROM
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generate_series(1,3)
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)
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)
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ORDER BY
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generate_series ASC;
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-- non-colocated subquery in WHERE clause ANDed with false
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SELECT count(*)
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FROM users_Table
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WHERE (FALSE AND EXISTS (SELECT * FROM events_table));
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-- multiple non-colocated subqueries in WHERE clause ANDed with false
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SELECT count(*)
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FROM users_Table
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WHERE value_1 IN
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(SELECT value_1
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FROM users_Table) OR (FALSE AND EXISTS (SELECT * FROM events_table));
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-- multiple non-colocated subqueries in WHERE clause ANDed with false
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SELECT count(*)
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FROM users_Table
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WHERE value_1 IN
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(SELECT value_1
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FROM users_Table) AND (FALSE AND EXISTS (SELECT * FROM events_table));
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-- non-colocated subquery in WHERE clause ANDed with true
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SELECT count(*)
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FROM users_Table
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WHERE (TRUE AND EXISTS (SELECT * FROM events_table));
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-- multiple non-colocated subqueries in WHERE clause ANDed with true
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SELECT count(*)
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FROM users_Table
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WHERE value_1 IN
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(SELECT value_1
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FROM users_Table) OR (EXISTS (SELECT * FROM events_table));
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-- correlated subquery with aggregate in WHERE
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SELECT
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*
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FROM
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users_table
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WHERE
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user_id IN
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(
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SELECT
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SUM(events_table.user_id)
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FROM
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events_table
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WHERE
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users_table.user_id = events_table.user_id
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)
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;
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-- correlated subquery with aggregate in HAVING
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SELECT
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*
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FROM
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users_table
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WHERE
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user_id IN
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(
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SELECT
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SUM(events_table.user_id)
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FROM
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events_table
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WHERE
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events_table.user_id = users_table.user_id
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HAVING
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MIN(value_2) > 2
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)
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;
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-- Local tables also planned recursively, so using it as part of the FROM clause
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-- make the clause recurring
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CREATE TABLE local_table(id int, value_1 int);
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INSERT INTO local_table VALUES(1,1), (2,2);
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SELECT
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*
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FROM
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(SELECT
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*
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FROM
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local_table) as sub_table
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WHERE
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id
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IN
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(SELECT
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user_id
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FROM
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users_table);
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-- Use local table in WHERE clause
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SELECT
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COUNT(*)
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FROM
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(SELECT
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*
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FROM
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users_table
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ORDER BY
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user_id
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LIMIT
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10) as sub_table
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WHERE
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user_id
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IN
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(SELECT
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id
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FROM
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local_table);
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-- basic NOT IN correlated subquery
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SELECT
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count(*)
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FROM
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events_table e
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WHERE
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value_2 NOT IN (SELECT value_2 FROM users_table WHERE user_id = e.user_id);
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-- correlated subquery with limit
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SELECT
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count(*)
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FROM
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events_table e
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WHERE
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value_2 IN (SELECT value_2 FROM users_table WHERE user_id = e.user_id ORDER BY value_2 LIMIT 1);
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-- correlated subquery with distinct
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SELECT
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count(*)
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FROM
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events_table e
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WHERE
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value_2 IN (SELECT DISTINCT (value_3) FROM users_table WHERE user_id = e.user_id);
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-- correlated subquery with aggregate
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SELECT
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count(*)
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FROM
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events_table e
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WHERE
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value_2 = (SELECT max(value_2) FROM users_table WHERE user_id = e.user_id);
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-- correlated subquery with window function
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SELECT
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count(*)
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FROM
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events_table e
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WHERE
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value_2 IN (SELECT row_number() OVER () FROM users_table WHERE user_id = e.user_id);
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-- correlated subquery with group by
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SELECT
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count(*)
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FROM
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events_table e
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WHERE
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value_3 IN (SELECT min(value_3) FROM users_table WHERE user_id = e.user_id GROUP BY value_2);
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|
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SELECT
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count(*)
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FROM
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events_table e
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WHERE
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value_3 IN (SELECT min(value_3) FROM users_table WHERE user_id = e.user_id GROUP BY value_2);
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-- correlated subquery with group by
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SELECT
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count(*)
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FROM
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events_table e
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WHERE
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value_3 IN (SELECT min(value_3) v FROM users_table WHERE user_id = e.user_id GROUP BY e.value_2);
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-- correlated subquery with having
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SELECT
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count(*)
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FROM
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events_table e
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WHERE
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value_3 IN (SELECT min(value_3) v FROM users_table WHERE user_id = e.user_id GROUP BY e.value_2 HAVING min(value_3) > (SELECT 1));
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SELECT
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count(*)
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FROM
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events_table e
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WHERE
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value_3 IN (SELECT min(value_3) v FROM users_table WHERE user_id = e.user_id GROUP BY e.value_2 HAVING min(value_3) > (SELECT e.value_3));
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-- nested correlated subquery
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SELECT
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count(*)
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FROM
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events_table e
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WHERE
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value_3 IN (
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SELECT min(r.value_3) v FROM users_reference_table r JOIN (SELECT * FROM users_table WHERE user_id = e.user_id) u USING (user_id)
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WHERE u.value_2 > 3
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GROUP BY e.value_2 HAVING min(r.value_3) > e.value_3);
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-- not co-located correlated subquery
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SELECT
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count(*)
|
|
FROM
|
|
events_table e
|
|
WHERE
|
|
value_3 IN (
|
|
SELECT min(r.value_3) v FROM users_reference_table r JOIN (SELECT * FROM users_table WHERE value_2 = e.user_id) u USING (user_id)
|
|
WHERE u.value_2 > 3
|
|
GROUP BY e.value_2 HAVING min(r.value_3) > e.value_3);
|
|
|
|
-- cartesian correlated subquery
|
|
SELECT
|
|
count(*)
|
|
FROM
|
|
events_table e
|
|
WHERE
|
|
value_3 IN (
|
|
SELECT min(r.value_3) v FROM users_reference_table r JOIN users_table u USING (user_id)
|
|
WHERE u.value_2 > 3
|
|
GROUP BY e.value_2 HAVING min(r.value_3) > e.value_3);
|
|
|
|
-- even more subtle cartesian correlated subquery
|
|
SELECT
|
|
count(*)
|
|
FROM
|
|
events_table e
|
|
WHERE
|
|
value_3 IN (
|
|
SELECT min(r.value_3) v FROM users_reference_table r JOIN users_table u USING (user_id)
|
|
WHERE u.value_2 > 3
|
|
GROUP BY u.value_2 HAVING min(r.value_3) > e.value_3);
|
|
|
|
-- not a correlated subquery, uses recursive planning
|
|
SELECT
|
|
count(*)
|
|
FROM
|
|
events_table e
|
|
WHERE
|
|
value_3 IN (
|
|
SELECT min(r.value_3) v FROM users_reference_table r JOIN users_table u USING (user_id)
|
|
WHERE u.value_2 > 3
|
|
GROUP BY r.value_2 HAVING min(r.value_3) > 0);
|
|
|
|
-- two levels of correlation should also allow
|
|
-- merge step in the subquery
|
|
SELECT sum(value_1)
|
|
FROM users_table u
|
|
WHERE EXISTS
|
|
(SELECT 1
|
|
FROM events_table e
|
|
WHERE u.user_id = e.user_id AND
|
|
EXISTS
|
|
(SELECT 1
|
|
FROM users_table u2
|
|
WHERE u2.user_id = u.user_id AND u2.value_1 = 5
|
|
LIMIT 1));
|
|
|
|
-- correlated subquery in WHERE, with a slightly
|
|
-- different syntax that the result of the subquery
|
|
-- is compared with a constant
|
|
SELECT sum(value_1)
|
|
FROM users_table u1
|
|
WHERE (SELECT COUNT(DISTINCT e1.value_2)
|
|
FROM events_table e1
|
|
WHERE e1.user_id = u1.user_id
|
|
) > 115;
|
|
|
|
|
|
-- a correlated subquery which requires merge step
|
|
-- can be pushed down on UPDATE/DELETE queries as well
|
|
-- rollback to keep the rest of the tests unchanged
|
|
BEGIN;
|
|
UPDATE users_table u1
|
|
SET value_1 = (SELECT count(DISTINCT value_2)
|
|
FROM events_table e1
|
|
WHERE e1.user_id = u1.user_id);
|
|
|
|
DELETE FROM users_table u1 WHERE (SELECT count(DISTINCT value_2)
|
|
FROM events_table e1
|
|
WHERE e1.user_id = u1.user_id) > 10;
|
|
|
|
ROLLBACK;
|
|
|
|
-- a correlated anti-join can also be pushed down even if the subquery
|
|
-- has a LIMIT
|
|
SELECT avg(value_1)
|
|
FROM users_table u
|
|
WHERE NOT EXISTS
|
|
(SELECT 'XXX'
|
|
FROM events_table e
|
|
WHERE u.user_id = e.user_id and e.value_2 > 10000 LIMIT 1);
|
|
|
|
-- a [correlated] lateral join can also be pushed down even if the subquery
|
|
-- has an aggregate wout a GROUP BY
|
|
SELECT
|
|
max(min_of_val_2), max(u1.value_1)
|
|
FROM
|
|
users_table u1
|
|
LEFT JOIN LATERAL
|
|
(SELECT min(e1.value_2) as min_of_val_2 FROM events_table e1 WHERE e1.user_id = u1.user_id) as foo ON (true);
|
|
|
|
|
|
-- a self join is followed by a correlated subquery
|
|
EXPLAIN (COSTS OFF)
|
|
SELECT
|
|
*
|
|
FROM
|
|
users_table u1 JOIN users_table u2 USING (user_id)
|
|
WHERE
|
|
u1.value_1 < u2.value_1 AND
|
|
(SELECT
|
|
count(*)
|
|
FROM
|
|
events_table e1
|
|
WHERE
|
|
e1.user_id = u2.user_id) > 10;
|
|
|
|
-- when the colocated join of the FROM clause
|
|
-- entries happen on WHERE clause, Citus cannot
|
|
-- pushdown
|
|
-- Likely that the colocation checks should be
|
|
-- improved
|
|
SELECT
|
|
u1.user_id, u2.user_id
|
|
FROM
|
|
users_table u1, users_table u2
|
|
WHERE
|
|
u1.value_1 < u2.value_1 AND
|
|
(SELECT
|
|
count(*)
|
|
FROM
|
|
events_table e1
|
|
WHERE
|
|
e1.user_id = u2.user_id AND
|
|
u1.user_id = u2.user_id) > 10
|
|
ORDER BY 1,2;
|
|
|
|
|
|
-- create a view that contains correlated subquery
|
|
CREATE TEMPORARY VIEW correlated_subquery_view AS
|
|
SELECT u1.user_id
|
|
FROM users_table u1
|
|
WHERE (SELECT COUNT(DISTINCT e1.value_2)
|
|
FROM events_table e1
|
|
WHERE e1.user_id = u1.user_id
|
|
) > 0;
|
|
|
|
SELECT sum(user_id) FROM correlated_subquery_view;
|
|
|
|
-- now, join the view with another correlated subquery
|
|
SELECT
|
|
sum(mx)
|
|
FROM
|
|
correlated_subquery_view
|
|
LEFT JOIN LATERAL
|
|
(SELECT max(value_2) as mx FROM events_table WHERE correlated_subquery_view.user_id = events_table.user_id) as foo ON (true);
|
|
|
|
-- as an edge case, JOIN is on false
|
|
SELECT
|
|
sum(mx)
|
|
FROM
|
|
correlated_subquery_view
|
|
LEFT JOIN LATERAL
|
|
(SELECT max(value_2) as mx FROM events_table WHERE correlated_subquery_view.user_id = events_table.user_id) as foo ON (false);
|
|
|
|
|
|
SELECT sum(value_1)
|
|
FROM users_table u1
|
|
WHERE (SELECT COUNT(DISTINCT e1.value_2)
|
|
FROM events_table e1
|
|
WHERE e1.user_id = u1.user_id AND false
|
|
) > 115;
|
|
|
|
SELECT sum(value_1)
|
|
FROM users_table u1
|
|
WHERE (SELECT COUNT(DISTINCT e1.value_2)
|
|
FROM events_table e1
|
|
WHERE e1.user_id = u1.user_id
|
|
) > 115 AND false;
|
|
|
|
SET client_min_messages TO DEFAULT;
|
|
|
|
DROP TABLE local_table;
|
|
DROP SCHEMA subquery_in_where CASCADE;
|
|
SET search_path TO public;
|