--
-- multi subquery complex queries aims to expand existing subquery pushdown
-- regression tests to cover more caeses
-- the tables that are used depends to multi_insert_select_behavioral_analytics_create_table.sql
--
-- We don't need shard id sequence here, so commented out to prevent conflicts with concurrent tests
-- SET citus.next_shard_id TO 1400000;
ALTER SEQUENCE pg_catalog.pg_dist_jobid_seq RESTART 1400000;
 
 -- 
 -- UNIONs and JOINs mixed
 --
SELECT ("final_query"."event_types") as types, count(*) AS sumOfEventType
FROM
  ( SELECT *, random()
   FROM
     ( SELECT "t"."user_id", "t"."time", unnest("t"."collected_events") AS "event_types"
      FROM
        ( SELECT "t1"."user_id", min("t1"."time") AS "time", array_agg(("t1"."event") ORDER BY TIME ASC, event DESC) AS collected_events
         FROM (
                 (SELECT 
                    *
                  FROM
                   (SELECT 
                      "events"."user_id", "events"."time", 0 AS event
                    FROM 
                      events_table as  "events"
                    WHERE 
                      event_type IN (1, 2) ) events_subquery_1) 
                 UNION 
                 (SELECT 
                    *
                  FROM
                    (SELECT 
                        "events"."user_id", "events"."time", 1 AS event
                     FROM 
                        events_table as "events"
                     WHERE 
                      event_type IN (3, 4) ) events_subquery_2)
               UNION 
                 (SELECT 
                    *
                  FROM
                    (SELECT 
                        "events"."user_id", "events"."time", 2 AS event
                     FROM 
                        events_table as  "events"
                     WHERE 
                      event_type IN (5, 6) ) events_subquery_3)
                UNION 
                  (SELECT 
                      *
                   FROM
                    (SELECT 
                        "events"."user_id", "events"."time", 3 AS event
                     FROM 
                      events_table as "events"
                     WHERE 
                      event_type IN (1, 6)) events_subquery_4)) t1
         GROUP BY "t1"."user_id") AS t) "q" 
INNER JOIN
     (SELECT 
        "users"."user_id"
      FROM 
        users_table as "users"
      WHERE 
        value_1 > 0 and value_1 < 4) AS t 
    ON (t.user_id = q.user_id)) as final_query
GROUP BY 
  types
ORDER BY 
  types;
 types | sumofeventtype 
-------+----------------
     0 |            449
     1 |            433
     2 |             75
     3 |            268
(4 rows)

-- same query with target entries shuffled inside UNIONs
SELECT ("final_query"."event_types") as types, count(*) AS sumOfEventType
FROM
  ( SELECT *, random()
   FROM
     ( SELECT "t"."user_id", "t"."time", unnest("t"."collected_events") AS "event_types"
      FROM
        ( SELECT "t1"."user_id", min("t1"."time") AS "time", array_agg(("t1"."event") ORDER BY TIME ASC, event DESC) AS collected_events
         FROM (
                 (SELECT *
                  FROM
                   (SELECT 
                          "events"."time", 0 AS event, "events"."user_id"
                    FROM 
                      events_table as  "events"
                    WHERE 
                      event_type IN (1, 2) ) events_subquery_1) 
                 UNION 
                 (SELECT *
                  FROM
                    (SELECT 
                        "events"."time", 1 AS event, "events"."user_id"
                     FROM 
                      events_table as "events"
                     WHERE 
                      event_type IN (3, 4) ) events_subquery_2)
               UNION 
                 (SELECT *
                  FROM
                    (SELECT 
                        "events"."time", 2 AS event, "events"."user_id"
                     FROM 
                      events_table as  "events"
                     WHERE 
                      event_type IN (5, 6) ) events_subquery_3)
               UNION 
                 (SELECT *
                  FROM
                    (SELECT 
                        "events"."time", 3 AS event, "events"."user_id"
                     FROM 
                      events_table as "events"
                     WHERE 
                      event_type IN (1, 6)) events_subquery_4)) t1
         GROUP BY "t1"."user_id") AS t) "q" 
INNER JOIN
     (SELECT 
        "users"."user_id"
      FROM 
        users_table as "users"
      WHERE 
        value_1 > 0 and value_1 < 4) AS t 
  ON (t.user_id = q.user_id)) as final_query
GROUP BY 
  types
ORDER BY 
  types;
 types | sumofeventtype 
-------+----------------
     0 |            449
     1 |            433
     2 |             75
     3 |            268
(4 rows)

-- supported through recursive planning since events_subquery_2 doesn't have partition key on the target list
-- within the shuffled target list
SELECT ("final_query"."event_types") as types, count(*) AS sumOfEventType
FROM
  ( SELECT *, random()
   FROM
     ( SELECT "t"."user_id", "t"."time", unnest("t"."collected_events") AS "event_types"
      FROM
        ( SELECT "t1"."user_id", min("t1"."time") AS "time", array_agg(("t1"."event") ORDER BY TIME ASC, event DESC) AS collected_events
         FROM (
                 (SELECT *
                  FROM
                   (SELECT 
                          "events"."time", 0 AS event, "events"."user_id"
                    FROM 
                      events_table as  "events"
                    WHERE 
                      event_type IN (1, 2) ) events_subquery_1) 
                 UNION 
                 (SELECT *
                  FROM
                    (SELECT 
                        "events"."time", 1 AS event, "events"."user_id" * 2
                     FROM 
                      events_table as "events"
                     WHERE 
                      event_type IN (3, 4) ) events_subquery_2)
               UNION 
                 (SELECT *
                  FROM
                    (SELECT 
                        "events"."time", 2 AS event, "events"."user_id"
                     FROM 
                      events_table as  "events"
                     WHERE 
                      event_type IN (5, 6) ) events_subquery_3)
               UNION 
                 (SELECT *
                  FROM
                    (SELECT 
                        "events"."time", 3 AS event, "events"."user_id"
                     FROM 
                      events_table as "events"
                     WHERE 
                      event_type IN (1, 6)) events_subquery_4)) t1
         GROUP BY "t1"."user_id") AS t) "q" 
INNER JOIN
     (SELECT 
        "users"."user_id"
      FROM 
        users_table as "users"
      WHERE 
        value_1 > 0 and value_1 < 4) AS t 
  ON (t.user_id = q.user_id)) as final_query
GROUP BY 
  types
ORDER BY 
  types;
 types | sumofeventtype 
-------+----------------
     0 |            449
     1 |            234
     2 |             75
     3 |            268
(4 rows)

-- supported through recursive planning since events_subquery_2 doesn't have partition key on the target list
SELECT ("final_query"."event_types") as types, count(*) AS sumOfEventType
FROM
  ( SELECT *, random()
   FROM
     ( SELECT "t"."user_id", "t"."time", unnest("t"."collected_events") AS "event_types"
      FROM
        ( SELECT "t1"."user_id", min("t1"."time") AS "time", array_agg(("t1"."event") ORDER BY TIME ASC, event DESC) AS collected_events
         FROM (
                 (SELECT *
                  FROM
                   (SELECT 
                          "events"."time", 0 AS event, "events"."user_id"
                    FROM 
                      events_table as  "events"
                    WHERE 
                      event_type IN (1, 2) ) events_subquery_1) 
                 UNION 
                 (SELECT *
                  FROM
                    (SELECT 
                        "events"."time", 1 AS event, "events"."value_2" as user_id
                     FROM 
                      events_table as "events"
                     WHERE 
                      event_type IN (3, 4) ) events_subquery_2)
               UNION 
                 (SELECT *
                  FROM
                    (SELECT 
                        "events"."time", 2 AS event, "events"."user_id"
                     FROM 
                      events_table as  "events"
                     WHERE 
                      event_type IN (5, 6) ) events_subquery_3)
               UNION 
                 (SELECT *
                  FROM
                    (SELECT 
                        "events"."time", 3 AS event, "events"."user_id"
                     FROM 
                      events_table as "events"
                     WHERE 
                      event_type IN (1, 6)) events_subquery_4)) t1
         GROUP BY "t1"."user_id") AS t) "q" 
INNER JOIN
     (SELECT 
        "users"."user_id"
      FROM 
        users_table as "users"
      WHERE 
        value_1 > 0 and value_1 < 4) AS t 
  ON (t.user_id = q.user_id)) as final_query
GROUP BY 
  types
ORDER BY 
  types;
 types | sumofeventtype 
-------+----------------
     0 |            449
     1 |            369
     2 |             75
     3 |            268
(4 rows)

-- we can support arbitrary subqueries within UNIONs
SELECT ("final_query"."event_types") as types, count(*) AS sumOfEventType
FROM
  ( SELECT 
      *, random()
    FROM
     (SELECT 
        "t"."user_id", "t"."time", unnest("t"."collected_events") AS "event_types"
      FROM
        ( SELECT 
            "t1"."user_id", min("t1"."time") AS "time", array_agg(("t1"."event") ORDER BY TIME ASC, event DESC) AS collected_events
          FROM (
                (SELECT 
                    *
                 FROM
                   (SELECT 
                          "events"."time", 0 AS event, "events"."user_id"
                    FROM 
                      events_table as "events"
                    WHERE 
                      event_type IN (1, 2) ) events_subquery_1) 
                UNION 
                 (SELECT *
                  FROM
                    (
                          SELECT * FROM
                          (
                              SELECT 
                                max("events"."time"),
                                0 AS event,
                                "events"."user_id"
                              FROM 
                                events_table as  "events", users_table as "users"
                              WHERE 
                                events.user_id = users.user_id AND
                                event_type IN (1, 2)
                                GROUP BY   "events"."user_id"
                          ) as events_subquery_5
                     ) events_subquery_2)
               UNION 
                 (SELECT *
                  FROM
                    (SELECT 
                        "events"."time", 2 AS event, "events"."user_id"
                     FROM 
                        events_table as  "events"
                     WHERE 
                      event_type IN (3, 4) ) events_subquery_3)
               UNION 
                 (SELECT *
                  FROM
                    (SELECT
                       "events"."time", 3 AS event, "events"."user_id"
                     FROM 
                      events_table as "events"
                     WHERE 
                      event_type IN (5, 6)) events_subquery_4)
                 ) t1
         GROUP BY "t1"."user_id") AS t) "q" 
INNER JOIN
     (SELECT 
        "users"."user_id"
      FROM 
        users_table as "users"
      WHERE 
        value_1 > 0 and value_1 < 4) AS t 
     ON (t.user_id = q.user_id)) as final_query
GROUP BY 
  types
ORDER BY 
  types;
 types | sumofeventtype 
-------+----------------
     0 |            449
     2 |            433
     3 |             75
(3 rows)

SET citus.enable_repartition_joins to ON;
SET client_min_messages TO DEBUG1;
-- recursively planned since events_subquery_5 is not joined on partition key
SELECT ("final_query"."event_types") as types, count(*) AS sumOfEventType
FROM
  ( SELECT 
      *, random()
    FROM
     (SELECT 
        "t"."user_id", "t"."time", unnest("t"."collected_events") AS "event_types"
      FROM
        ( SELECT 
            "t1"."user_id", min("t1"."time") AS "time", array_agg(("t1"."event") ORDER BY TIME ASC, event DESC) AS collected_events
          FROM (
                (SELECT 
                    *
                 FROM
                   (SELECT 
                          "events"."time", 0 AS event, "events"."user_id"
                    FROM 
                      events_table as "events"
                    WHERE 
                      event_type IN (1, 2) ) events_subquery_1) 
                UNION 
                 (SELECT *
                  FROM
                    (
                          SELECT * FROM
                          (
                              SELECT 
                                max("events"."time"),
                                0 AS event,
                                "events"."user_id"
                              FROM 
                                events_table as  "events", users_table as "users"
                              WHERE 
                                events.user_id = users.value_2 AND
                                event_type IN (1, 2)
                                GROUP BY   "events"."user_id"
                          ) as events_subquery_5
                     ) events_subquery_2)
               UNION 
                 (SELECT *
                  FROM
                    (SELECT 
                        "events"."time", 2 AS event, "events"."user_id"
                     FROM 
                        events_table as  "events"
                     WHERE 
                      event_type IN (3, 4) ) events_subquery_3)
               UNION 
                 (SELECT *
                  FROM
                    (SELECT
                       "events"."time", 3 AS event, "events"."user_id"
                     FROM 
                      events_table as "events"
                     WHERE 
                      event_type IN (5, 6)) events_subquery_4)
                 ) t1
         GROUP BY "t1"."user_id") AS t) "q" 
INNER JOIN
     (SELECT 
        "users"."user_id"
      FROM 
        users_table as "users"
      WHERE 
        value_1 > 0 and value_1 < 4) AS t 
     ON (t.user_id = q.user_id)) as final_query
GROUP BY 
  types
ORDER BY 
  types;
DEBUG:  cannot use real time executor with repartition jobs
HINT:  Since you enabled citus.enable_repartition_joins Citus chose to use task-tracker.
DEBUG:  generating subplan 16_1 for subquery SELECT max(events."time") AS max, 0 AS event, events.user_id FROM public.events_table events, public.users_table users WHERE ((events.user_id OPERATOR(pg_catalog.=) users.value_2) AND (events.event_type OPERATOR(pg_catalog.=) ANY (ARRAY[1, 2]))) GROUP BY events.user_id
DEBUG:  generating subplan 16_2 for subquery SELECT "time", event, user_id FROM (SELECT events."time", 0 AS event, events.user_id FROM public.events_table events WHERE (events.event_type OPERATOR(pg_catalog.=) ANY (ARRAY[1, 2]))) events_subquery_1
DEBUG:  generating subplan 16_3 for subquery SELECT "time", event, user_id FROM (SELECT events."time", 2 AS event, events.user_id FROM public.events_table events WHERE (events.event_type OPERATOR(pg_catalog.=) ANY (ARRAY[3, 4]))) events_subquery_3
DEBUG:  generating subplan 16_4 for subquery SELECT "time", event, user_id FROM (SELECT events."time", 3 AS event, events.user_id FROM public.events_table events WHERE (events.event_type OPERATOR(pg_catalog.=) ANY (ARRAY[5, 6]))) events_subquery_4
DEBUG:  generating subplan 16_5 for subquery SELECT intermediate_result."time", intermediate_result.event, intermediate_result.user_id FROM read_intermediate_result('16_2'::text, 'binary'::citus_copy_format) intermediate_result("time" timestamp without time zone, event integer, user_id integer) UNION SELECT events_subquery_2.max, events_subquery_2.event, events_subquery_2.user_id FROM (SELECT events_subquery_5.max, events_subquery_5.event, events_subquery_5.user_id FROM (SELECT intermediate_result.max, intermediate_result.event, intermediate_result.user_id FROM read_intermediate_result('16_1'::text, 'binary'::citus_copy_format) intermediate_result(max timestamp without time zone, event integer, user_id integer)) events_subquery_5) events_subquery_2 UNION SELECT intermediate_result."time", intermediate_result.event, intermediate_result.user_id FROM read_intermediate_result('16_3'::text, 'binary'::citus_copy_format) intermediate_result("time" timestamp without time zone, event integer, user_id integer) UNION SELECT intermediate_result."time", intermediate_result.event, intermediate_result.user_id FROM read_intermediate_result('16_4'::text, 'binary'::citus_copy_format) intermediate_result("time" timestamp without time zone, event integer, user_id integer)
DEBUG:  Plan 16 query after replacing subqueries and CTEs: SELECT event_types AS types, count(*) AS sumofeventtype FROM (SELECT q.user_id, q."time", q.event_types, t.user_id, random() AS random FROM ((SELECT t_1.user_id, t_1."time", unnest(t_1.collected_events) AS event_types FROM (SELECT t1.user_id, min(t1."time") AS "time", array_agg(t1.event ORDER BY t1."time", t1.event DESC) AS collected_events FROM (SELECT intermediate_result."time", intermediate_result.event, intermediate_result.user_id FROM read_intermediate_result('16_5'::text, 'binary'::citus_copy_format) intermediate_result("time" timestamp without time zone, event integer, user_id integer)) t1 GROUP BY t1.user_id) t_1) q JOIN (SELECT users.user_id FROM public.users_table users WHERE ((users.value_1 OPERATOR(pg_catalog.>) 0) AND (users.value_1 OPERATOR(pg_catalog.<) 4))) t ON ((t.user_id OPERATOR(pg_catalog.=) q.user_id)))) final_query(user_id, "time", event_types, user_id_1, random) GROUP BY event_types ORDER BY event_types
 types | sumofeventtype 
-------+----------------
     0 |            449
     2 |            433
     3 |             75
(3 rows)

RESET client_min_messages;
SET citus.enable_repartition_joins to OFF;
-- recursively planned since the join is not equi join
SET client_min_messages TO DEBUG1;
SELECT ("final_query"."event_types") as types, count(*) AS sumOfEventType
FROM
  ( SELECT *, random()
   FROM
     ( SELECT "t"."user_id", "t"."time", unnest("t"."collected_events") AS "event_types"
      FROM
        ( SELECT "t1"."user_id", min("t1"."time") AS "time", array_agg(("t1"."event") ORDER BY TIME ASC, event DESC) AS collected_events
         FROM (
                 (SELECT 
                    *
                  FROM
                   (SELECT 
                      "events"."user_id", "events"."time", 0 AS event
                    FROM 
                      events_table as  "events"
                    WHERE 
                      event_type IN (1, 2) ) events_subquery_1) 
                 UNION 
                 (SELECT 
                    *
                  FROM
                    (SELECT 
                        "events"."user_id", "events"."time", 1 AS event
                     FROM 
                        events_table as "events"
                     WHERE 
                      event_type IN (3, 4) ) events_subquery_2)
               UNION 
                 (SELECT 
                    *
                  FROM
                    (SELECT 
                        "events"."user_id", "events"."time", 2 AS event
                     FROM 
                        events_table as  "events"
                     WHERE 
                      event_type IN (5, 6) ) events_subquery_3)
                UNION 
                  (SELECT 
                      *
                   FROM
                    (SELECT 
                        "events"."user_id", "events"."time", 3 AS event
                     FROM 
                      events_table as "events"
                     WHERE 
                      event_type IN (4, 5)) events_subquery_4)) t1
         GROUP BY "t1"."user_id") AS t) "q" 
INNER JOIN
     (SELECT 
        "users"."user_id"
      FROM 
        users_table as "users"
      WHERE 
        value_1 > 0 and value_1 < 4) AS t 
    ON (t.user_id != q.user_id)) as final_query
GROUP BY 
  types
ORDER BY 
  types;
DEBUG:  generating subplan 22_1 for subquery SELECT user_id, "time", unnest(collected_events) AS event_types FROM (SELECT t1.user_id, min(t1."time") AS "time", array_agg(t1.event ORDER BY t1."time", t1.event DESC) AS collected_events FROM (SELECT events_subquery_1.user_id, events_subquery_1."time", events_subquery_1.event FROM (SELECT events.user_id, events."time", 0 AS event FROM public.events_table events WHERE (events.event_type OPERATOR(pg_catalog.=) ANY (ARRAY[1, 2]))) events_subquery_1 UNION SELECT events_subquery_2.user_id, events_subquery_2."time", events_subquery_2.event FROM (SELECT events.user_id, events."time", 1 AS event FROM public.events_table events WHERE (events.event_type OPERATOR(pg_catalog.=) ANY (ARRAY[3, 4]))) events_subquery_2 UNION SELECT events_subquery_3.user_id, events_subquery_3."time", events_subquery_3.event FROM (SELECT events.user_id, events."time", 2 AS event FROM public.events_table events WHERE (events.event_type OPERATOR(pg_catalog.=) ANY (ARRAY[5, 6]))) events_subquery_3 UNION SELECT events_subquery_4.user_id, events_subquery_4."time", events_subquery_4.event FROM (SELECT events.user_id, events."time", 3 AS event FROM public.events_table events WHERE (events.event_type OPERATOR(pg_catalog.=) ANY (ARRAY[4, 5]))) events_subquery_4) t1 GROUP BY t1.user_id) t
DEBUG:  Plan 22 query after replacing subqueries and CTEs: SELECT event_types AS types, count(*) AS sumofeventtype FROM (SELECT q.user_id, q."time", q.event_types, t.user_id, random() AS random FROM ((SELECT intermediate_result.user_id, intermediate_result."time", intermediate_result.event_types FROM read_intermediate_result('22_1'::text, 'binary'::citus_copy_format) intermediate_result(user_id integer, "time" timestamp without time zone, event_types integer)) q JOIN (SELECT users.user_id FROM public.users_table users WHERE ((users.value_1 OPERATOR(pg_catalog.>) 0) AND (users.value_1 OPERATOR(pg_catalog.<) 4))) t ON ((t.user_id OPERATOR(pg_catalog.<>) q.user_id)))) final_query(user_id, "time", event_types, user_id_1, random) GROUP BY event_types ORDER BY event_types
 types | sumofeventtype 
-------+----------------
     0 |           2088
     1 |           2163
     2 |            397
     3 |           1397
(4 rows)

RESET client_min_messages;
-- not supported since subquery 3 includes a JOIN with non-equi join
SELECT ("final_query"."event_types") as types, count(*) AS sumOfEventType
FROM
  ( SELECT *, random()
   FROM
     ( SELECT "t"."user_id", "t"."time", unnest("t"."collected_events") AS "event_types"
      FROM
        ( SELECT "t1"."user_id", min("t1"."time") AS "time", array_agg(("t1"."event") ORDER BY TIME ASC, event DESC) AS collected_events
         FROM (
                 (SELECT 
                    *
                  FROM
                   (SELECT 
                      "events"."user_id", "events"."time", 0 AS event
                    FROM 
                      events_table as  "events"
                    WHERE 
                      event_type IN (1, 2) ) events_subquery_1) 
                 UNION 
                 (SELECT 
                    *
                  FROM
                    (SELECT 
                        "events"."user_id", "events"."time", 1 AS event
                     FROM 
                        events_table as "events"
                     WHERE 
                      event_type IN (3, 4) ) events_subquery_2)
               UNION 
                 (SELECT 
                    *
                  FROM
                    (SELECT 
                        "events"."user_id", "events"."time", 2 AS event
                     FROM 
                        events_table as  "events",  users_table as "users"
                     WHERE 
                      event_type IN (5, 6)  AND users.user_id != events.user_id ) events_subquery_3)
                UNION 
                  (SELECT 
                      *
                   FROM
                    (SELECT 
                        "events"."user_id", "events"."time", 3 AS event
                     FROM 
                      events_table as "events"
                     WHERE 
                      event_type IN (4, 5)) events_subquery_4)) t1
         GROUP BY "t1"."user_id") AS t) "q" 
INNER JOIN
     (SELECT 
        "users"."user_id"
      FROM 
        users_table as "users"
      WHERE 
        value_1 > 0 and value_1 < 4) AS t 
    ON (t.user_id = q.user_id)) as final_query
GROUP BY 
  types
ORDER BY 
  types;
ERROR:  complex joins are only supported when all distributed tables are joined on their distribution columns with equal operator
-- similar query with more union statements (to enable UNION tree become larger)
SELECT ("final_query"."event_types") as types, count(*) AS sumOfEventType
FROM
  ( SELECT *, random()
   FROM
     ( SELECT "t"."user_id", "t"."time", unnest("t"."collected_events") AS "event_types"
      FROM
        ( SELECT "t1"."user_id", min("t1"."time") AS "time", array_agg(("t1"."event") ORDER BY TIME ASC, event DESC) AS collected_events
         FROM (
                 (SELECT *
                  FROM
                   (SELECT 
                      "events"."user_id", "events"."time", 0 AS event
                    FROM 
                      events_table as  "events"
                    WHERE 
                      event_type IN (1, 2) ) events_subquery_1) 
                UNION 
                 (SELECT *
                  FROM
                    (SELECT 
                        "events"."user_id", "events"."time", 1 AS event
                     FROM 
                        events_table as "events"
                     WHERE 
                       event_type IN (2, 3) ) events_subquery_2)
               UNION 
                 (SELECT *
                  FROM
                    (SELECT 
                        "events"."user_id", "events"."time", 2 AS event
                     FROM 
                        events_table as  "events"
                     WHERE 
                        event_type IN (3, 4) ) events_subquery_3)
               UNION 
                 (SELECT *
                  FROM
                    (SELECT 
                        "events"."user_id", "events"."time", 3 AS event
                     FROM 
                        events_table as "events"
                     WHERE 
                        event_type IN (4, 5)) events_subquery_4)
                  UNION 
                 (SELECT *
                  FROM
                    (SELECT 
                        "events"."user_id", "events"."time", 4 AS event
                     FROM 
                        events_table as "events"
                     WHERE 
                        event_type IN (5, 6)) events_subquery_5)
                  UNION 
                 (SELECT *
                  FROM
                    (SELECT 
                        "events"."user_id", "events"."time", 5 AS event
                     FROM 
                        events_table as "events"
                     WHERE 
                        event_type IN (6, 1)) events_subquery_6)
                  UNION 
                 (SELECT *
                  FROM
                    (SELECT 
                        "events"."user_id", "events"."time", 6 AS event
                     FROM 
                        events_table as "events"
                     WHERE 
                        event_type IN (2, 5)) events_subquery_6)
                 ) t1
         GROUP BY "t1"."user_id") AS t) "q" 
INNER JOIN
     (SELECT "users"."user_id"
      FROM users_table as "users"
      WHERE value_1 > 0 and value_1 < 4) AS t ON (t.user_id = q.user_id)) as final_query
GROUP BY types
ORDER BY types;
 types | sumofeventtype 
-------+----------------
     0 |            449
     1 |            434
     2 |            433
     3 |            255
     4 |             75
     5 |            268
     6 |            256
(7 rows)

-- 
-- UNION ALL Queries
--
SELECT ("final_query"."event_types") as types, count(*) AS sumOfEventType
FROM
  ( SELECT *, random()
   FROM
     ( SELECT "t"."user_id", "t"."time", unnest("t"."collected_events") AS "event_types"
      FROM
        ( SELECT "t1"."user_id", min("t1"."time") AS "time", array_agg(("t1"."event") ORDER BY TIME ASC, event DESC) AS collected_events
         FROM (
                 (SELECT *
                  FROM
                   (SELECT 
                      "events"."user_id", "events"."time", 0 AS event
                    FROM 
                      events_table as  "events"
                    WHERE 
                      event_type IN (1, 2) ) events_subquery_1) 
                UNION ALL
                 (SELECT *
                  FROM
                    (SELECT 
                        "events"."user_id", "events"."time", 1 AS event
                     FROM 
                        events_table as "events"
                     WHERE 
                        event_type IN (3, 4) ) events_subquery_2)
               UNION ALL
                 (SELECT *
                  FROM
                    (SELECT 
                        "events"."user_id", "events"."time", 2 AS event
                     FROM 
                        events_table as  "events"
                     WHERE 
                        event_type IN (5, 6) ) events_subquery_3)
               UNION ALL
                 (SELECT *
                  FROM
                    (SELECT 
                        "events"."user_id", "events"."time", 3 AS event
                     FROM 
                        events_table as "events"
                     WHERE 
                        event_type IN (6, 1)) events_subquery_4)) t1
         GROUP BY "t1"."user_id") AS t) "q" 
INNER JOIN
     (SELECT "users"."user_id"
      FROM users_table as "users"
      WHERE value_1 > 0 and value_1 < 4) AS t ON (t.user_id = q.user_id)) as final_query
GROUP BY types
ORDER BY types;
 types | sumofeventtype 
-------+----------------
     0 |            449
     1 |            433
     2 |             75
     3 |            268
(4 rows)

-- same query target list entries shuffled
SELECT ("final_query"."event_types") as types, count(*) AS sumOfEventType
FROM
  ( SELECT *, random()
   FROM
     ( SELECT "t"."user_id", "t"."time", unnest("t"."collected_events") AS "event_types"
      FROM
        ( SELECT "t1"."user_id", min("t1"."time") AS "time", array_agg(("t1"."event") ORDER BY TIME ASC, event DESC) AS collected_events
         FROM (
                 (SELECT *
                  FROM
                   (SELECT 
                          "events"."time", 0 AS event, "events"."user_id"
                    FROM 
                      events_table as  "events"
                    WHERE 
                      event_type IN (1, 2) ) events_subquery_1) 
                UNION ALL
                 (SELECT *
                  FROM
                    (SELECT 
                        "events"."time", 1 AS event, "events"."user_id"
                     FROM 
                        events_table as "events"
                     WHERE 
                        event_type IN (3, 4) ) events_subquery_2)
               UNION ALL
                 (SELECT *
                  FROM
                    (SELECT 
                        "events"."time", 2 AS event, "events"."user_id"
                     FROM 
                        events_table as  "events"
                     WHERE 
                        event_type IN (5, 6) ) events_subquery_3)
               UNION ALL
                 (SELECT *
                  FROM
                    (SELECT 
                        "events"."time", 3 AS event, "events"."user_id"
                     FROM 
                        events_table as "events"
                     WHERE 
                        event_type IN (1, 6)) events_subquery_4)) t1
         GROUP BY "t1"."user_id") AS t) "q" 
INNER JOIN
     (SELECT 
        "users"."user_id"
      FROM 
        users_table as "users"
      WHERE 
        value_1 > 0 and value_1 < 4) AS t 
ON (t.user_id = q.user_id)) as final_query
GROUP BY types
ORDER BY types;
 types | sumofeventtype 
-------+----------------
     0 |            449
     1 |            433
     2 |             75
     3 |            268
(4 rows)

-- supported through recursive planning since subquery 3 does not have partition key
SELECT ("final_query"."event_types") as types, count(*) AS sumOfEventType
FROM
  ( SELECT *, random()
   FROM
     ( SELECT "t"."user_id", "t"."time", unnest("t"."collected_events") AS "event_types"
      FROM
        ( SELECT "t1"."user_id", min("t1"."time") AS "time", array_agg(("t1"."event") ORDER BY TIME ASC, event DESC) AS collected_events
         FROM (
                 (SELECT *
                  FROM
                   (SELECT 
                      "events"."user_id", "events"."time", 0 AS event
                    FROM 
                      events_table as  "events"
                    WHERE 
                      event_type IN (1, 2) ) events_subquery_1) 
                UNION ALL
                 (SELECT *
                  FROM
                    (SELECT 
                        "events"."user_id", "events"."time", 1 AS event
                     FROM 
                        events_table as "events"
                     WHERE 
                        event_type IN (3, 4) ) events_subquery_2)
               UNION ALL
                 (SELECT *
                  FROM
                    (SELECT 
                        "events"."value_2", "events"."time", 2 AS event
                     FROM 
                        events_table as  "events"
                     WHERE 
                        event_type IN (5, 6) ) events_subquery_3)
               UNION ALL
                 (SELECT *
                  FROM
                    (SELECT 
                        "events"."user_id", "events"."time", 3 AS event
                     FROM 
                        events_table as "events"
                     WHERE 
                        event_type IN (1, 6)) events_subquery_4)) t1
         GROUP BY "t1"."user_id") AS t) "q" 
INNER JOIN
     (SELECT "users"."user_id"
      FROM users_table as "users"
      WHERE value_1 > 0 and value_1 < 4) AS t ON (t.user_id = q.user_id)) as final_query
GROUP BY types
ORDER BY types;
 types | sumofeventtype 
-------+----------------
     0 |            449
     1 |            433
     2 |             62
     3 |            268
(4 rows)

-- supported through recursive planning since events_subquery_4 does not have partition key on the 
-- target list
SELECT ("final_query"."event_types") as types, count(*) AS sumOfEventType
FROM
  ( SELECT *, random()
   FROM
     ( SELECT "t"."user_id", "t"."time", unnest("t"."collected_events") AS "event_types"
      FROM
        ( SELECT "t1"."user_id", min("t1"."time") AS "time", array_agg(("t1"."event") ORDER BY TIME ASC, event DESC) AS collected_events
         FROM (
                 (SELECT *
                  FROM
                   (SELECT 
                          "events"."time", 0 AS event, "events"."user_id"
                    FROM 
                      events_table as  "events"
                    WHERE 
                      event_type IN (1, 2) ) events_subquery_1) 
                UNION ALL
                 (SELECT *
                  FROM
                    (SELECT 
                        "events"."time", 1 AS event, "events"."user_id"
                     FROM 
                        events_table as "events"
                     WHERE 
                        event_type IN (3, 4) ) events_subquery_2)
               UNION ALL
                 (SELECT *
                  FROM
                    (SELECT 
                        "events"."time", 2 AS event, "events"."user_id"
                     FROM 
                        events_table as  "events"
                     WHERE 
                        event_type IN (5, 6) ) events_subquery_3)
               UNION ALL
                 (SELECT *
                  FROM
                    (SELECT 
                        "events"."time", 3 AS event, "events"."user_id" * 2
                     FROM 
                        events_table as "events"
                     WHERE 
                        event_type IN (1, 6)) events_subquery_4)) t1
         GROUP BY "t1"."user_id") AS t) "q" 
INNER JOIN
     (SELECT 
        "users"."user_id"
      FROM 
        users_table as "users"
      WHERE 
        value_1 > 0 and value_1 < 4) AS t 
ON (t.user_id = q.user_id)) as final_query
GROUP BY types
ORDER BY types;
 types | sumofeventtype 
-------+----------------
     0 |            449
     1 |            433
     2 |             75
     3 |            124
(4 rows)

-- union all with inner and left joins
SELECT user_id, count(*) as cnt
FROM
  (SELECT first_query.user_id, random()
   FROM
     ( SELECT 
        "t"."user_id", "t"."time", unnest("t"."collected_events") AS "event_types"
       FROM
        ( SELECT 
            "t1"."user_id", min("t1"."time") AS "time", array_agg(("t1"."event") ORDER BY TIME ASC, event DESC) AS collected_events
         FROM (
                 (SELECT *
                  FROM
                    (SELECT 
                        "events"."user_id", "events"."time", 0 AS event
                     FROM 
                        events_table as  "events"
                     WHERE 
                        event_type IN (1, 2) ) events_subquery_1) 
               UNION ALL
                 (SELECT *
                  FROM
                    (SELECT 
                        "events"."user_id", "events"."time", 1 AS event
                     FROM 
                        events_table as "events"
                     WHERE 
                        event_type IN (3, 4) ) events_subquery_2)
               UNION ALL
                 (SELECT *
                  FROM
                    (SELECT 
                        "events"."user_id", "events"."time", 2 AS event
                     FROM 
                        events_table as  "events"
                     WHERE 
                        event_type IN (5, 6) ) events_subquery_3)
               UNION ALL
                 (SELECT *
                  FROM
                    (SELECT 
                        "events"."user_id", "events"."time", 3 AS event
                     FROM 
                        events_table as "events"
                     WHERE 
                        event_type IN (1, 6)) events_subquery_4)) t1
         GROUP BY "t1"."user_id") AS t) "first_query" 
INNER JOIN
     (SELECT "t"."user_id"
      FROM
        (SELECT 
            "users"."user_id"
         FROM 
           users_table as "users"
        WHERE 
          value_1 > 0 and value_1 < 4) AS t
        LEFT OUTER JOIN
        (
          SELECT 
            DISTINCT "events"."user_id" as user_id
          FROM 
            events_table as "events"
          WHERE 
            event_type IN (0, 6)
          GROUP BY 
            user_id
         ) as t2 
    ON (t2.user_id = t.user_id) WHERE t2.user_id is NULL) as second_query
  ON ("first_query".user_id = "second_query".user_id)) as final_query 
GROUP BY 
  user_id ORDER BY cnt DESC, user_id DESC 
LIMIT 10;
 user_id | cnt 
---------+-----
       3 | 275
       6 |  72
(2 rows)

-- recursively planned since the join between t and t2 is not equi join
-- union all with inner and left joins
SET client_min_messages TO DEBUG1;
SELECT user_id, count(*) as cnt
FROM
  (SELECT first_query.user_id, random()
   FROM
     ( SELECT 
        "t"."user_id", "t"."time", unnest("t"."collected_events") AS "event_types"
       FROM
        ( SELECT 
            "t1"."user_id", min("t1"."time") AS "time", array_agg(("t1"."event") ORDER BY TIME ASC, event DESC) AS collected_events
         FROM (
                 (SELECT *
                  FROM
                    (SELECT 
                        "events"."user_id", "events"."time", 0 AS event
                     FROM 
                        events_table as  "events"
                     WHERE 
                        event_type IN (1, 2) ) events_subquery_1) 
               UNION ALL
                 (SELECT *
                  FROM
                    (SELECT 
                        "events"."user_id", "events"."time", 1 AS event
                     FROM 
                        events_table as "events"
                     WHERE 
                        event_type IN (3, 4) ) events_subquery_2)
               UNION ALL
                 (SELECT *
                  FROM
                    (SELECT 
                        "events"."user_id", "events"."time", 2 AS event
                     FROM 
                        events_table as  "events"
                     WHERE 
                        event_type IN (5, 6) ) events_subquery_3)
               UNION ALL
                 (SELECT *
                  FROM
                    (SELECT 
                        "events"."user_id", "events"."time", 3 AS event
                     FROM 
                        events_table as "events"
                     WHERE 
                        event_type IN (1, 6)) events_subquery_4)) t1
         GROUP BY "t1"."user_id") AS t) "first_query" 
INNER JOIN
     (SELECT "t"."user_id"
      FROM
        (SELECT 
            "users"."user_id"
         FROM 
           users_table as "users"
        WHERE 
          value_1 > 0 and value_1 < 4) AS t
        LEFT OUTER JOIN
        (
          SELECT 
            DISTINCT "events"."user_id" as user_id
          FROM 
            events_table as "events"
          WHERE 
            event_type IN (0, 6)
          GROUP BY 
            user_id
         ) as t2 
    ON (t2.user_id > t.user_id) WHERE t2.user_id is NULL) as second_query
  ON ("first_query".user_id = "second_query".user_id)) as final_query 
GROUP BY 
  user_id ORDER BY cnt DESC, user_id DESC 
LIMIT 10;
DEBUG:  generating subplan 42_1 for subquery SELECT DISTINCT user_id FROM public.events_table events WHERE (event_type OPERATOR(pg_catalog.=) ANY (ARRAY[0, 6])) GROUP BY user_id
DEBUG:  Plan 42 query after replacing subqueries and CTEs: SELECT user_id, count(*) AS cnt FROM (SELECT first_query.user_id, random() AS random FROM ((SELECT t.user_id, t."time", unnest(t.collected_events) AS event_types FROM (SELECT t1.user_id, min(t1."time") AS "time", array_agg(t1.event ORDER BY t1."time", t1.event DESC) AS collected_events FROM (SELECT events_subquery_1.user_id, events_subquery_1."time", events_subquery_1.event FROM (SELECT events.user_id, events."time", 0 AS event FROM public.events_table events WHERE (events.event_type OPERATOR(pg_catalog.=) ANY (ARRAY[1, 2]))) events_subquery_1 UNION ALL SELECT events_subquery_2.user_id, events_subquery_2."time", events_subquery_2.event FROM (SELECT events.user_id, events."time", 1 AS event FROM public.events_table events WHERE (events.event_type OPERATOR(pg_catalog.=) ANY (ARRAY[3, 4]))) events_subquery_2 UNION ALL SELECT events_subquery_3.user_id, events_subquery_3."time", events_subquery_3.event FROM (SELECT events.user_id, events."time", 2 AS event FROM public.events_table events WHERE (events.event_type OPERATOR(pg_catalog.=) ANY (ARRAY[5, 6]))) events_subquery_3 UNION ALL SELECT events_subquery_4.user_id, events_subquery_4."time", events_subquery_4.event FROM (SELECT events.user_id, events."time", 3 AS event FROM public.events_table events WHERE (events.event_type OPERATOR(pg_catalog.=) ANY (ARRAY[1, 6]))) events_subquery_4) t1 GROUP BY t1.user_id) t) first_query JOIN (SELECT t.user_id FROM ((SELECT users.user_id FROM public.users_table users WHERE ((users.value_1 OPERATOR(pg_catalog.>) 0) AND (users.value_1 OPERATOR(pg_catalog.<) 4))) t LEFT JOIN (SELECT intermediate_result.user_id FROM read_intermediate_result('42_1'::text, 'binary'::citus_copy_format) intermediate_result(user_id integer)) t2 ON ((t2.user_id OPERATOR(pg_catalog.>) t.user_id))) WHERE (t2.user_id IS NULL)) second_query ON ((first_query.user_id OPERATOR(pg_catalog.=) second_query.user_id)))) final_query GROUP BY user_id ORDER BY (count(*)) DESC, user_id DESC LIMIT 10
 user_id | cnt 
---------+-----
       5 | 324
       6 |  72
(2 rows)

RESET client_min_messages;
 -- 
 -- Union, inner join and left join
 --
SELECT user_id, count(*) as cnt
FROM
  (SELECT first_query.user_id, random()
   FROM
     ( SELECT 
        "t"."user_id", "t"."time", unnest("t"."collected_events") AS "event_types"
       FROM
        ( SELECT 
            "t1"."user_id", min("t1"."time") AS "time", array_agg(("t1"."event") ORDER BY TIME ASC, event DESC) AS collected_events
         FROM (
                 (SELECT *
                  FROM
                    (SELECT 
                        "events"."user_id", "events"."time", 0 AS event
                     FROM 
                        events_table as  "events"
                     WHERE 
                        event_type IN (1, 2) ) events_subquery_1) 
               UNION
                 (SELECT *
                  FROM
                    (SELECT 
                        "events"."user_id", "events"."time", 1 AS event
                     FROM 
                        events_table as "events"
                     WHERE 
                        event_type IN (3, 4) ) events_subquery_2)
               UNION
                 (SELECT *
                  FROM
                    (SELECT 
                        "events"."user_id", "events"."time", 2 AS event
                     FROM 
                        events_table as  "events"
                     WHERE 
                        event_type IN (5, 6) ) events_subquery_3)
               UNION
                 (SELECT *
                  FROM
                    (SELECT 
                        "events"."user_id", "events"."time", 3 AS event
                     FROM 
                        events_table as "events"
                     WHERE 
                        event_type IN (1, 6)) events_subquery_4)) t1
         GROUP BY "t1"."user_id") AS t) "first_query" 
INNER JOIN
     (SELECT "t"."user_id"
      FROM
        (SELECT 
            "users"."user_id"
         FROM 
           users_table as "users"
        WHERE 
          value_1 > 0 and value_1 < 4) AS t
        LEFT OUTER JOIN
        (
          SELECT 
            DISTINCT "events"."user_id" as user_id
          FROM 
            events_table as "events"
          WHERE 
            event_type IN (0, 6)
          GROUP BY 
            user_id
         ) as t2 
    ON (t2.user_id = t.user_id) WHERE t2.user_id is NULL) as second_query
  ON ("first_query".user_id = "second_query".user_id)) as final_query 
GROUP BY 
  user_id ORDER BY cnt DESC, user_id DESC 
LIMIT 10;
 user_id | cnt 
---------+-----
       3 | 275
       6 |  72
(2 rows)

-- Simple LATERAL JOINs with GROUP BYs in each side
-- need to set subquery_pushdown due to limit for next 2 queries
SET citus.subquery_pushdown to ON;
SELECT *
FROM
  (SELECT "some_users_data".user_id, lastseen
   FROM
     (SELECT user_id, max(time) AS lastseen
      FROM
        (SELECT user_id, time
         FROM
           (SELECT 
              user_id, time
            FROM 
              events_table as "events"
            WHERE 
              user_id > 1 and user_id < 4) "events_1"
         ORDER BY 
          time DESC
         LIMIT 1000) "recent_events_1"
      GROUP BY 
        user_id
      ORDER BY 
        max(time) DESC) "some_recent_users"
   JOIN LATERAL
     (SELECT 
        "users".user_id
      FROM 
        users_table as "users"
      WHERE 
        "users"."user_id" = "some_recent_users"."user_id" AND 
        users.value_2 > 1 and users.value_2 < 3
      LIMIT 1) "some_users_data" 
    ON TRUE
   ORDER BY 
    lastseen DESC
   LIMIT 50) "some_users"
order BY 
  user_id
LIMIT 50;
 user_id |            lastseen             
---------+---------------------------------
       2 | Thu Nov 23 17:26:14.563216 2017
       3 | Thu Nov 23 18:08:26.550729 2017
(2 rows)

-- same query with subuqery joins in topmost select
SELECT "some_users_data".user_id, lastseen
FROM
     (SELECT user_id, max(time) AS lastseen
      FROM
        (SELECT user_id, time
         FROM
           (SELECT 
              user_id, time
            FROM 
              events_table as "events"
            WHERE 
              user_id > 1 and user_id < 4) "events_1"
         ORDER BY
           time DESC
         LIMIT 1000) "recent_events_1"
      GROUP BY 
        user_id
      ORDER BY 
        max(TIME) DESC) "some_recent_users"
   JOIN LATERAL
     (SELECT 
        "users".user_id
      FROM 
        users_table as "users"
      WHERE 
        "users"."user_id" = "some_recent_users"."user_id" AND 
        users.value_2 > 1 and users.value_2 < 3
      LIMIT 1) "some_users_data" 
     ON TRUE
ORDER BY 
  user_id
limit 50;
 user_id |            lastseen             
---------+---------------------------------
       2 | Thu Nov 23 17:26:14.563216 2017
       3 | Thu Nov 23 18:08:26.550729 2017
(2 rows)

-- reset subquery_pushdown
SET citus.subquery_pushdown to OFF;
-- we recursively plan recent_events_1
-- but not some_users_data since it has a reference
-- from an outer query which is not recursively planned
SELECT "some_users_data".user_id, lastseen
FROM
     (SELECT user_id, max(time) AS lastseen
      FROM
        (SELECT user_id, time
         FROM
           (SELECT 
              user_id, time
            FROM 
              events_table as "events"
            WHERE 
              user_id > 1 and user_id < 4) "events_1"
         ORDER BY
           time DESC
         LIMIT 1000) "recent_events_1"
      GROUP BY 
        user_id
      ORDER BY 
        max(TIME) DESC) "some_recent_users"
   JOIN LATERAL
     (SELECT 
        "users".user_id
      FROM 
        users_table as "users"
      WHERE 
        "users"."value_1" = "some_recent_users"."user_id" AND 
        users.value_2 > 1 and users.value_2 < 3
      LIMIT 1) "some_users_data" 
     ON TRUE
ORDER BY 
  user_id
limit 50;
ERROR:  cannot push down this subquery
DETAIL:  Limit in subquery is currently unsupported when a subquery references a column from another query
-- we recursively plan some queries but fail in the end 
-- since some_users_data since it has a reference
-- from an outer query which is not recursively planned
SELECT "some_users_data".user_id, lastseen
FROM
     (SELECT 2 * user_id as user_id, max(time) AS lastseen
      FROM
        (SELECT user_id, time
         FROM
           (SELECT 
              user_id, time
            FROM 
              events_table as "events"
            WHERE 
              user_id > 1 and user_id < 4) "events_1"
         ORDER BY
           time DESC
         LIMIT 1000) "recent_events_1"
      GROUP BY 
        user_id
      ORDER BY 
        max(TIME) DESC) "some_recent_users"
   JOIN LATERAL
     (SELECT 
        "users".user_id
      FROM 
        users_table as "users"
      WHERE 
        "users"."user_id" = "some_recent_users"."user_id" AND 
        users.value_2 > 1 and users.value_2 < 3
      LIMIT 1) "some_users_data" 
     ON TRUE
ORDER BY 
  user_id
limit 50;
ERROR:  cannot push down this subquery
DETAIL:  Limit in subquery is currently unsupported when a subquery references a column from another query
-- LATERAL JOINs used with INNER JOINs
SET citus.subquery_pushdown to ON;
SELECT user_id, lastseen
FROM
  (SELECT 
      "some_users_data".user_id, lastseen
   FROM
     (SELECT 
        filter_users_1.user_id, time AS lastseen
      FROM
        (SELECT 
            user_where_1_1.user_id
         FROM
           (SELECT 
              "users"."user_id"
            FROM 
              users_table as "users"
            WHERE 
              user_id > 1 and user_id < 3 and value_1 > 2) user_where_1_1
         INNER JOIN
           (SELECT 
              "users"."user_id"
            FROM 
              users_table as "users"
            WHERE 
              user_id > 1 and user_id < 3 and value_2 > 3) user_where_1_join_1 
           ON ("user_where_1_1".user_id = "user_where_1_join_1".user_id)) 
        filter_users_1 
      JOIN LATERAL
        (SELECT 
            user_id, time
         FROM 
          events_table as "events"
         WHERE
           user_id > 1 and user_id < 3 AND 
           user_id = filter_users_1.user_id
         ORDER BY 
          time DESC
         LIMIT 1) "last_events_1" 
        ON TRUE
      ORDER BY 
        time DESC
      LIMIT 10) "some_recent_users"
   JOIN LATERAL
     (SELECT 
        "users".user_id
      FROM 
        users_table  as "users"
      WHERE 
        "users"."user_id" = "some_recent_users"."user_id" AND 
        "users"."value_2" > 4
      LIMIT 1) "some_users_data" 
    ON TRUE
   ORDER BY 
      lastseen DESC
   LIMIT 10) "some_users"
ORDER BY 
  user_id DESC, lastseen DESC
LIMIT 10;
 user_id |            lastseen             
---------+---------------------------------
       2 | Thu Nov 23 17:26:14.563216 2017
       2 | Thu Nov 23 17:26:14.563216 2017
       2 | Thu Nov 23 17:26:14.563216 2017
       2 | Thu Nov 23 17:26:14.563216 2017
       2 | Thu Nov 23 17:26:14.563216 2017
       2 | Thu Nov 23 17:26:14.563216 2017
       2 | Thu Nov 23 17:26:14.563216 2017
       2 | Thu Nov 23 17:26:14.563216 2017
       2 | Thu Nov 23 17:26:14.563216 2017
       2 | Thu Nov 23 17:26:14.563216 2017
(10 rows)

--
-- A similar query with topmost select is dropped
-- and replaced by aggregation. Notice the heavy use of limit
--
SELECT "some_users_data".user_id, MAX(lastseen), count(*)
   FROM
     (SELECT 
        filter_users_1.user_id, time AS lastseen
      FROM
        (SELECT 
            user_where_1_1.user_id
         FROM
           (SELECT 
              "users"."user_id"
            FROM 
              users_table as "users"
            WHERE 
              user_id > 1 and user_id < 3 and value_1 > 2) user_where_1_1
         INNER JOIN
           (SELECT 
              "users"."user_id"
            FROM 
              users_table as "users"
            WHERE 
              user_id > 1 and user_id < 3 and value_2 > 3) user_where_1_join_1 
           ON ("user_where_1_1".user_id = "user_where_1_join_1".user_id)) filter_users_1 
      JOIN LATERAL
        (SELECT 
            user_id, time
         FROM 
          events_table as "events"
         WHERE 
          user_id > 1 and user_id < 3 and user_id = filter_users_1.user_id
         ORDER BY 
          time DESC
         LIMIT 1) "last_events_1" ON true
      ORDER BY time DESC
      LIMIT 10) "some_recent_users"
   JOIN LATERAL
     (SELECT 
        "users".user_id
      FROM 
        users_table  as "users"
      WHERE 
        "users"."user_id" = "some_recent_users"."user_id" AND 
        "users"."value_2" > 4
      LIMIT 1) "some_users_data" ON true
GROUP BY 1
ORDER BY 2, 1 DESC
LIMIT 10;
 user_id |               max               | count 
---------+---------------------------------+-------
       2 | Thu Nov 23 17:26:14.563216 2017 |    10
(1 row)

SET citus.subquery_pushdown to OFF;
-- not supported since the inner JOIN is not equi join and LATERAL JOIN prevents recursive planning
SET client_min_messages TO DEBUG2;
SELECT user_id, lastseen
FROM
  (SELECT 
      "some_users_data".user_id, lastseen
   FROM
     (SELECT 
        filter_users_1.user_id, time AS lastseen
      FROM
        (SELECT 
            user_where_1_1.user_id
         FROM
           (SELECT 
              "users"."user_id"
            FROM 
              users_table as "users"
            WHERE 
              user_id > 1 and user_id < 4 and value_1 > 2) user_where_1_1
         INNER JOIN
           (SELECT 
              "users"."user_id"
            FROM 
              users_table as "users"
            WHERE 
              user_id > 1 and user_id < 4  and value_2 > 3) user_where_1_join_1 
           ON ("user_where_1_1".user_id != "user_where_1_join_1".user_id)) filter_users_1 
      JOIN LATERAL
        (SELECT 
            user_id, time
         FROM 
          events_table as "events"
         WHERE 
          user_id > 1 and user_id < 4 and user_id = filter_users_1.user_id
         ORDER BY 
          time DESC
         LIMIT 1) "last_events_1" ON true
      ORDER BY time DESC
      LIMIT 10) "some_recent_users"
   JOIN LATERAL
     (SELECT 
        "users".user_id
      FROM 
        users_table  as "users"
      WHERE 
        "users"."user_id" = "some_recent_users"."user_id" AND 
        "users"."value_2" > 4
      LIMIT 1) "some_users_data" ON true
   ORDER BY 
    lastseen DESC
   LIMIT 10) "some_users"
ORDER BY 
  user_id DESC, lastseen DESC
LIMIT 10;
DEBUG:  generating subplan 53_1 for subquery SELECT user_id FROM public.users_table users WHERE ((user_id OPERATOR(pg_catalog.>) 1) AND (user_id OPERATOR(pg_catalog.<) 4) AND (value_2 OPERATOR(pg_catalog.>) 3))
DEBUG:  skipping recursive planning for the subquery since it contains references to outer queries
DEBUG:  skipping recursive planning for the subquery since it contains references to outer queries
ERROR:  cannot push down this subquery
DETAIL:  Limit in subquery is currently unsupported when a subquery references a column from another query
SET citus.enable_repartition_joins to ON;
SET client_min_messages TO DEBUG1;
-- recursively planner since the inner JOIN is not on the partition key
SELECT user_id, lastseen
FROM
  (SELECT 
      "some_users_data".user_id, lastseen
   FROM
     (SELECT 
        filter_users_1.user_id, time AS lastseen
      FROM
        (SELECT 
            user_where_1_1.user_id
         FROM
           (SELECT 
              "users"."user_id"
            FROM 
              users_table as "users"
            WHERE 
              user_id > 1 and user_id < 4 and value_1 > 2) user_where_1_1
         INNER JOIN
           (SELECT 
              "users"."user_id", "users"."value_1"
            FROM 
              users_table as "users"
            WHERE 
              user_id > 1 and user_id < 4 and value_2 > 3) user_where_1_join_1 
           ON ("user_where_1_1".user_id = "user_where_1_join_1".value_1)) filter_users_1 
      JOIN LATERAL
        (SELECT 
            user_id, time
         FROM 
          events_table as "events"
         WHERE 
          user_id > 1 and user_id < 4 and user_id = filter_users_1.user_id
         ORDER BY 
          time DESC
         LIMIT 1) "last_events_1" ON true
      ORDER BY time DESC
      LIMIT 10) "some_recent_users"
   JOIN LATERAL
     (SELECT 
        "users".user_id
      FROM 
        users_table  as "users"
      WHERE 
        "users"."user_id" = "some_recent_users"."user_id" AND 
        "users"."value_2" > 4
      LIMIT 1) "some_users_data" ON true
   ORDER BY 
    lastseen DESC
   LIMIT 10) "some_users"
ORDER BY 
  user_id DESC, lastseen DESC
LIMIT 10;
DEBUG:  generating subplan 56_1 for subquery SELECT user_id, value_1 FROM public.users_table users WHERE ((user_id OPERATOR(pg_catalog.>) 1) AND (user_id OPERATOR(pg_catalog.<) 4) AND (value_2 OPERATOR(pg_catalog.>) 3))
ERROR:  cannot push down this subquery
DETAIL:  Limit in subquery is currently unsupported when a subquery references a column from another query
SET citus.enable_repartition_joins to OFF;
RESET client_min_messages;
-- not supported since upper LATERAL JOIN is not equi join
SELECT user_id, lastseen
FROM
  (SELECT 
      "some_users_data".user_id, lastseen
   FROM
     (SELECT 
        filter_users_1.user_id, time AS lastseen
      FROM
        (SELECT 
            user_where_1_1.user_id
         FROM
           (SELECT 
              "users"."user_id"
            FROM 
              users_table as "users"
            WHERE 
              user_id > 1 and user_id < 3 and value_1 > 2) user_where_1_1
         INNER JOIN
           (SELECT 
              "users"."user_id", "users"."value_1"
            FROM 
              users_table as "users"
            WHERE 
              user_id > 1 and user_id < 3 and value_2 > 3) user_where_1_join_1 
           ON ("user_where_1_1".user_id = "user_where_1_join_1".user_id)) filter_users_1 
      JOIN LATERAL
        (SELECT 
            user_id, time
         FROM 
          events_table as "events"
         WHERE 
          user_id > 1 and user_id < 3 and user_id != filter_users_1.user_id
         ORDER BY 
          time DESC
         LIMIT 1) "last_events_1" ON true
      ORDER BY time DESC
      LIMIT 10) "some_recent_users"
   JOIN LATERAL
     (SELECT 
        "users".user_id
      FROM 
        users_table  as "users"
      WHERE 
        "users"."user_id" = "some_recent_users"."user_id" AND 
        "users"."value_2" > 4
      LIMIT 1) "some_users_data" ON true
   ORDER BY 
    lastseen DESC
   LIMIT 10) "some_users"
ORDER BY 
  user_id DESC, lastseen DESC
LIMIT 10;
ERROR:  complex joins are only supported when all distributed tables are joined on their distribution columns with equal operator
-- not pushdownable since lower LATERAL JOIN is not on the partition key
-- not recursively plannable due to LATERAL join where there is a reference
-- from an outer query
SELECT user_id, lastseen
FROM
  (SELECT 
      "some_users_data".user_id, lastseen
   FROM
     (SELECT 
        filter_users_1.user_id, time AS lastseen
      FROM
        (SELECT 
            user_where_1_1.user_id
         FROM
           (SELECT 
              "users"."user_id"
            FROM 
              users_table as "users"
            WHERE 
              user_id > 1 and user_id < 3 and value_1 > 2) user_where_1_1
         INNER JOIN
           (SELECT 
              "users"."user_id", "users"."value_1"
            FROM 
              users_table as "users"
            WHERE 
              user_id > 1 and user_id < 3 and value_2 > 3) user_where_1_join_1 
           ON ("user_where_1_1".user_id = "user_where_1_join_1".user_id)) filter_users_1 
      JOIN LATERAL
        (SELECT 
            user_id, time
         FROM 
          events_table as "events"
         WHERE 
          user_id > 1 and user_id < 3 and user_id = filter_users_1.user_id
         ORDER BY 
          time DESC
         LIMIT 1) "last_events_1" ON true
      ORDER BY time DESC
      LIMIT 10) "some_recent_users"
   JOIN LATERAL
     (SELECT 
        "users".user_id
      FROM 
        users_table  as "users"
      WHERE 
        "users"."value_1" = "some_recent_users"."user_id" AND 
        "users"."value_2" > 4
      LIMIT 1) "some_users_data" ON true
   ORDER BY 
    lastseen DESC
   LIMIT 10) "some_users"
ORDER BY 
  user_id DESC, lastseen DESC
LIMIT 10;
ERROR:  cannot push down this subquery
DETAIL:  Limit in subquery is currently unsupported when a subquery references a column from another query
-- NESTED INNER JOINs
SELECT 
 count(*) AS value, "generated_group_field" 
 FROM
  (SELECT 
      DISTINCT "pushedDownQuery"."real_user_id", "generated_group_field"
    FROM
     (SELECT 
        "eventQuery"."real_user_id", "eventQuery"."time", random(), ("eventQuery"."value_2") AS "generated_group_field"
      FROM
        (SELECT 
            *
         FROM
           (SELECT 
              "events"."time", "events"."user_id", "events"."value_2"
            FROM 
              events_table as "events"
            WHERE 
              user_id > 1 and user_id < 4 AND event_type IN (4, 5) ) "temp_data_queries"
            INNER  JOIN
           (SELECT 
              user_where_1_1.real_user_id
            FROM
              (SELECT 
                  "users"."user_id" as real_user_id
               FROM  
                users_table as "users"
               WHERE
                 user_id > 1 and user_id < 4 and value_2 > 3 ) user_where_1_1
            INNER JOIN
              (SELECT 
                  "users"."user_id"
               FROM 
                users_table as "users"
               WHERE 
                user_id > 1 and user_id < 4 and value_3 > 3 ) user_where_1_join_1 
           ON ("user_where_1_1".real_user_id = "user_where_1_join_1".user_id)) "user_filters_1"
      ON ("temp_data_queries".user_id = "user_filters_1".real_user_id)) "eventQuery") "pushedDownQuery") "pushedDownQuery"
GROUP BY 
  "generated_group_field" 
ORDER BY 
  generated_group_field DESC, value DESC;
 value | generated_group_field 
-------+-----------------------
     1 |                     5
     2 |                     2
     2 |                     1
     1 |                     0
(4 rows)

SET citus.enable_repartition_joins to ON;
SET client_min_messages TO DEBUG1;
-- recursively planned since the first inner join is not on the partition key
SELECT 
 count(*) AS value, "generated_group_field" 
 FROM
  (SELECT 
      DISTINCT "pushedDownQuery"."real_user_id", "generated_group_field"
    FROM
     (SELECT 
        "eventQuery"."real_user_id", "eventQuery"."time", random(), ("eventQuery"."value_2") AS "generated_group_field"
      FROM
        (SELECT 
            *
         FROM
           (SELECT 
              "events"."time", "events"."user_id", "events"."value_2"
            FROM 
              events_table as "events"
            WHERE 
              user_id > 1 and user_id < 4 AND event_type IN (4, 5) ) "temp_data_queries"
            INNER  JOIN
           (SELECT 
              user_where_1_1.real_user_id
            FROM
              (SELECT 
                  "users"."user_id" as real_user_id
               FROM  
                users_table as "users"
               WHERE
                 user_id > 1 and user_id < 4 and value_2 > 3 ) user_where_1_1
            INNER JOIN
              (SELECT 
                  "users"."user_id", "users"."value_2"
               FROM 
                users_table as "users"
               WHERE 
                user_id > 1 and user_id < 4 and value_3 > 3 ) user_where_1_join_1 
           ON ("user_where_1_1".real_user_id = "user_where_1_join_1".value_2)) "user_filters_1"
      ON ("temp_data_queries".user_id = "user_filters_1".real_user_id)) "eventQuery") "pushedDownQuery") "pushedDownQuery"
GROUP BY 
  "generated_group_field" 
ORDER BY 
  generated_group_field DESC, value DESC;
DEBUG:  generating subplan 64_1 for subquery SELECT user_id, value_2 FROM public.users_table users WHERE ((user_id OPERATOR(pg_catalog.>) 1) AND (user_id OPERATOR(pg_catalog.<) 4) AND (value_3 OPERATOR(pg_catalog.>) (3)::double precision))
DEBUG:  Plan 64 query after replacing subqueries and CTEs: SELECT count(*) AS value, generated_group_field FROM (SELECT DISTINCT "pushedDownQuery_1".real_user_id, "pushedDownQuery_1".generated_group_field FROM (SELECT "eventQuery".real_user_id, "eventQuery"."time", random() AS random, "eventQuery".value_2 AS generated_group_field FROM (SELECT temp_data_queries."time", temp_data_queries.user_id, temp_data_queries.value_2, user_filters_1.real_user_id FROM ((SELECT events."time", events.user_id, events.value_2 FROM public.events_table events WHERE ((events.user_id OPERATOR(pg_catalog.>) 1) AND (events.user_id OPERATOR(pg_catalog.<) 4) AND (events.event_type OPERATOR(pg_catalog.=) ANY (ARRAY[4, 5])))) temp_data_queries JOIN (SELECT user_where_1_1.real_user_id FROM ((SELECT users.user_id AS real_user_id FROM public.users_table users WHERE ((users.user_id OPERATOR(pg_catalog.>) 1) AND (users.user_id OPERATOR(pg_catalog.<) 4) AND (users.value_2 OPERATOR(pg_catalog.>) 3))) user_where_1_1 JOIN (SELECT intermediate_result.user_id, intermediate_result.value_2 FROM read_intermediate_result('64_1'::text, 'binary'::citus_copy_format) intermediate_result(user_id integer, value_2 integer)) user_where_1_join_1 ON ((user_where_1_1.real_user_id OPERATOR(pg_catalog.=) user_where_1_join_1.value_2)))) user_filters_1 ON ((temp_data_queries.user_id OPERATOR(pg_catalog.=) user_filters_1.real_user_id)))) "eventQuery") "pushedDownQuery_1") "pushedDownQuery" GROUP BY generated_group_field ORDER BY generated_group_field DESC, (count(*)) DESC
 value | generated_group_field 
-------+-----------------------
     1 |                     5
     2 |                     2
     2 |                     1
     1 |                     0
(4 rows)

-- recursive planning kicked-in since the non-equi join is among subqueries
SELECT 
 count(*) AS value, "generated_group_field" 
 FROM
  (SELECT 
      DISTINCT "pushedDownQuery"."real_user_id", "generated_group_field"
    FROM
     (SELECT 
        "eventQuery"."real_user_id", "eventQuery"."time", random(), ("eventQuery"."value_2") AS "generated_group_field"
      FROM
        (SELECT 
            *
         FROM
           (SELECT 
              "events"."time", "events"."user_id", "events"."value_2"
            FROM 
              events_table as "events"
            WHERE 
              user_id > 1 and user_id < 4 AND event_type IN (4, 5) ) "temp_data_queries"
            INNER  JOIN
           (SELECT 
              user_where_1_1.real_user_id
            FROM
              (SELECT 
                  "users"."user_id" as real_user_id
               FROM  
                users_table as "users"
               WHERE
                 user_id > 1 and user_id < 4 and value_2 > 3 ) user_where_1_1
            INNER JOIN
              (SELECT 
                  "users"."user_id", "users"."value_2"
               FROM 
                users_table as "users"
               WHERE 
                user_id > 1 and user_id < 4 and value_3 > 3 ) user_where_1_join_1 
           ON ("user_where_1_1".real_user_id >= "user_where_1_join_1".user_id)) "user_filters_1"
      ON ("temp_data_queries".user_id = "user_filters_1".real_user_id)) "eventQuery") "pushedDownQuery") "pushedDownQuery"
GROUP BY 
  "generated_group_field" 
ORDER BY 
  generated_group_field DESC, value DESC;
DEBUG:  generating subplan 66_1 for subquery SELECT user_id, value_2 FROM public.users_table users WHERE ((user_id OPERATOR(pg_catalog.>) 1) AND (user_id OPERATOR(pg_catalog.<) 4) AND (value_3 OPERATOR(pg_catalog.>) (3)::double precision))
DEBUG:  Plan 66 query after replacing subqueries and CTEs: SELECT count(*) AS value, generated_group_field FROM (SELECT DISTINCT "pushedDownQuery_1".real_user_id, "pushedDownQuery_1".generated_group_field FROM (SELECT "eventQuery".real_user_id, "eventQuery"."time", random() AS random, "eventQuery".value_2 AS generated_group_field FROM (SELECT temp_data_queries."time", temp_data_queries.user_id, temp_data_queries.value_2, user_filters_1.real_user_id FROM ((SELECT events."time", events.user_id, events.value_2 FROM public.events_table events WHERE ((events.user_id OPERATOR(pg_catalog.>) 1) AND (events.user_id OPERATOR(pg_catalog.<) 4) AND (events.event_type OPERATOR(pg_catalog.=) ANY (ARRAY[4, 5])))) temp_data_queries JOIN (SELECT user_where_1_1.real_user_id FROM ((SELECT users.user_id AS real_user_id FROM public.users_table users WHERE ((users.user_id OPERATOR(pg_catalog.>) 1) AND (users.user_id OPERATOR(pg_catalog.<) 4) AND (users.value_2 OPERATOR(pg_catalog.>) 3))) user_where_1_1 JOIN (SELECT intermediate_result.user_id, intermediate_result.value_2 FROM read_intermediate_result('66_1'::text, 'binary'::citus_copy_format) intermediate_result(user_id integer, value_2 integer)) user_where_1_join_1 ON ((user_where_1_1.real_user_id OPERATOR(pg_catalog.>=) user_where_1_join_1.user_id)))) user_filters_1 ON ((temp_data_queries.user_id OPERATOR(pg_catalog.=) user_filters_1.real_user_id)))) "eventQuery") "pushedDownQuery_1") "pushedDownQuery" GROUP BY generated_group_field ORDER BY generated_group_field DESC, (count(*)) DESC
 value | generated_group_field 
-------+-----------------------
     1 |                     5
     2 |                     2
     2 |                     1
     1 |                     0
(4 rows)

 
SET citus.enable_repartition_joins to OFF;
RESET client_min_messages;
-- single level inner joins
SELECT 
  "value_3", count(*) AS cnt 
FROM
	(SELECT 
      "value_3", "user_id",  random()
  	 FROM
    	(SELECT 
          users_in_segment_1.user_id, value_3 
         FROM
      		(SELECT 
              user_id, value_3 * 2 as value_3
        	 FROM
         		(SELECT 
                user_id, value_3 
          		 FROM
           			(SELECT 
                    "users"."user_id", value_3
                 FROM 
                  users_table as "users"
                 WHERE 
                  user_id > 1 and user_id < 4 and value_2 > 2
                ) simple_user_where_1
            ) all_buckets_1
        ) users_in_segment_1
        JOIN
        (SELECT 
            "users"."user_id"
         FROM 
          users_table as "users"
         WHERE 
          user_id > 1 and user_id < 4 and value_2 > 3
        ) some_users_data
        ON ("users_in_segment_1".user_id = "some_users_data".user_id)
    ) segmentalias_1) "tempQuery" 
GROUP BY "value_3"
ORDER BY cnt, value_3 DESC LIMIT 10;
 value_3 | cnt 
---------+-----
       0 |   7
      10 |  21
       4 |  21
       8 |  28
       6 |  28
       2 |  35
(6 rows)

SET citus.enable_repartition_joins to ON;
SET client_min_messages TO DEBUG1;
-- although there is no column equality at all
-- still recursive planning plans "some_users_data"
-- and the query becomes OK
SELECT 
  "value_3", count(*) AS cnt 
FROM
  (SELECT 
      "value_3", "user_id",  random()
     FROM
      (SELECT 
          users_in_segment_1.user_id, value_3 
         FROM
          (SELECT 
              user_id, value_3 * 2 as value_3
           FROM
            (SELECT 
                user_id, value_3 
               FROM
                (SELECT 
                    "users"."user_id", value_3
                 FROM 
                  users_table as "users"
                 WHERE 
                  user_id > 1 and user_id < 4 and value_2 > 2
                ) simple_user_where_1
            ) all_buckets_1
        ) users_in_segment_1
        JOIN
        (SELECT 
            "users"."user_id"
         FROM 
          users_table as "users"
         WHERE 
          user_id > 1 and user_id < 4 and value_2 > 3
        ) some_users_data
        ON (true)
    ) segmentalias_1) "tempQuery" 
GROUP BY "value_3"
ORDER BY cnt, value_3 DESC LIMIT 10;
DEBUG:  generating subplan 69_1 for subquery SELECT user_id FROM public.users_table users WHERE ((user_id OPERATOR(pg_catalog.>) 1) AND (user_id OPERATOR(pg_catalog.<) 4) AND (value_2 OPERATOR(pg_catalog.>) 3))
DEBUG:  Plan 69 query after replacing subqueries and CTEs: SELECT value_3, count(*) AS cnt FROM (SELECT segmentalias_1.value_3, segmentalias_1.user_id, random() AS random FROM (SELECT users_in_segment_1.user_id, users_in_segment_1.value_3 FROM ((SELECT all_buckets_1.user_id, (all_buckets_1.value_3 OPERATOR(pg_catalog.*) (2)::double precision) AS value_3 FROM (SELECT simple_user_where_1.user_id, simple_user_where_1.value_3 FROM (SELECT users.user_id, users.value_3 FROM public.users_table users WHERE ((users.user_id OPERATOR(pg_catalog.>) 1) AND (users.user_id OPERATOR(pg_catalog.<) 4) AND (users.value_2 OPERATOR(pg_catalog.>) 2))) simple_user_where_1) all_buckets_1) users_in_segment_1 JOIN (SELECT intermediate_result.user_id FROM read_intermediate_result('69_1'::text, 'binary'::citus_copy_format) intermediate_result(user_id integer)) some_users_data ON (true))) segmentalias_1) "tempQuery" GROUP BY value_3 ORDER BY (count(*)), value_3 DESC LIMIT 10
 value_3 | cnt 
---------+-----
       0 |  14
      10 |  42
       4 |  42
       8 |  56
       6 |  56
       2 |  70
(6 rows)

SET citus.enable_repartition_joins to OFF;
RESET client_min_messages;
-- nested LATERAL JOINs
SET citus.subquery_pushdown to ON;
SELECT *
FROM
  (SELECT "some_users_data".user_id, "some_recent_users".value_3
   FROM
     (SELECT 
        filter_users_1.user_id, value_3
      FROM
        (SELECT 
            "users"."user_id"
         FROM 
          users_table as "users"
         WHERE 
          user_id > 1 and user_id < 4 and users.value_2 = 2) filter_users_1
      JOIN LATERAL
        (SELECT 
            user_id, value_3
         FROM 
          events_table as "events"
         WHERE
           user_id > 1 and user_id < 4 AND 
           ("events".user_id = "filter_users_1".user_id)
         ORDER BY 
           value_3 DESC
         LIMIT 1) "last_events_1" ON true
      ORDER BY value_3 DESC
      LIMIT 10) "some_recent_users"
   JOIN LATERAL
     (SELECT 
        "users".user_id
      FROM 
        users_table as "users"
      WHERE 
        "users"."user_id" = "some_recent_users"."user_id" AND 
        users.value_2 > 2
      LIMIT 1) "some_users_data" ON true
   ORDER BY 
    value_3 DESC
LIMIT 10) "some_users"
ORDER BY 
  value_3 DESC, user_id ASC
LIMIT 10;
 user_id | value_3 
---------+---------
       2 |       5
       2 |       5
       2 |       5
       2 |       5
       3 |       5
       3 |       5
       3 |       5
       3 |       5
       3 |       5
(9 rows)

-- nested lateral join at top most level
SELECT "some_users_data".user_id, "some_recent_users".value_3
FROM
	(SELECT 
      filter_users_1.user_id, value_3
     FROM
     	(SELECT 
          "users"."user_id"
       FROM 
        users_table as "users"
       WHERE 
        user_id > 1 and user_id < 4 and users.value_2 = 2
        ) filter_users_1
        JOIN LATERAL
        (SELECT 
            user_id, value_3
         FROM 
          events_table as "events"
         WHERE 
          user_id > 1 and user_id < 4 AND 
          ("events".user_id = "filter_users_1".user_id)
         ORDER BY 
          value_3 DESC
         LIMIT 1
        ) "last_events_1" ON true
     ORDER BY value_3 DESC
     LIMIT 10
   ) "some_recent_users"
   JOIN LATERAL
   (SELECT 
      "users".user_id
    FROM 
      users_table as "users"
    WHERE 
      "users"."user_id" = "some_recent_users"."user_id" AND 
      users.value_2 > 2
    LIMIT 1
   ) "some_users_data" ON true
ORDER BY 
  value_3 DESC, user_id ASC
LIMIT 10;
 user_id | value_3 
---------+---------
       2 |       5
       2 |       5
       2 |       5
       2 |       5
       3 |       5
       3 |       5
       3 |       5
       3 |       5
       3 |       5
(9 rows)

-- longer nested lateral joins
SELECT *
FROM
  (SELECT "some_users_data".user_id, "some_recent_users".value_3
   FROM
     (SELECT filter_users_1.user_id, value_3
      FROM
        (SELECT 
            "users"."user_id"
         FROM 
          users_table as "users"
         WHERE 
          user_id > 1 and user_id < 4 and users.value_2 = 2) filter_users_1
      JOIN LATERAL
        (SELECT 
            user_id, value_3
         FROM 
          events_table as "events"
         WHERE 
          user_id > 1 and user_id < 4 AND 
          ("events".user_id = "filter_users_1".user_id)
         ORDER BY 
          value_3 DESC
         LIMIT 1) "last_events_1" ON true
      ORDER BY 
        value_3 DESC
      LIMIT 10) "some_recent_users"
   JOIN LATERAL
     (SELECT 
        "users".user_id
      FROM 
        users_table as "users"
      WHERE 
        "users"."user_id" = "some_recent_users"."user_id" AND 
        users.value_2 > 2
      LIMIT 1) "some_users_data" ON true
   ORDER BY 
    value_3 DESC
   LIMIT 10) "some_users"
ORDER BY
  value_3 DESC, user_id DESC 
LIMIT 10;
 user_id | value_3 
---------+---------
       3 |       5
       3 |       5
       3 |       5
       3 |       5
       3 |       5
       2 |       5
       2 |       5
       2 |       5
       2 |       5
(9 rows)

-- longer nested lateral join wth top level join
SELECT "some_users_data".user_id, "some_recent_users".value_3
FROM
	(SELECT filter_users_1.user_id, value_3
     FROM
     	(SELECT 
          "users"."user_id"
       FROM 
        users_table as "users"
       WHERE 
        user_id > 1 and user_id < 4 and users.value_2 = 2
        ) filter_users_1
        JOIN LATERAL
        (SELECT 
            user_id, value_3
         FROM 
          events_table as "events"
         WHERE 
          user_id > 1 and user_id < 4
         AND 
          ("events".user_id = "filter_users_1".user_id)
         ORDER BY 
          value_3 DESC
         LIMIT 1
        ) "last_events_1" ON TRUE
     ORDER BY value_3 DESC
     LIMIT 10
    ) "some_recent_users"
    JOIN LATERAL
    (SELECT 
        "users".user_id
     FROM 
      users_table as "users"
     WHERE 
      "users"."user_id" = "some_recent_users"."user_id" AND 
      users.value_2 > 2
     LIMIT 1
    ) "some_users_data" ON TRUE
ORDER BY value_3 DESC, user_id DESC
LIMIT 10;
 user_id | value_3 
---------+---------
       3 |       5
       3 |       5
       3 |       5
       3 |       5
       3 |       5
       2 |       5
       2 |       5
       2 |       5
       2 |       5
(9 rows)

SET citus.subquery_pushdown to OFF;
-- LEFT JOINs used with INNER JOINs
SELECT
count(*) AS cnt, "generated_group_field"
 FROM
  (SELECT 
      "eventQuery"."user_id", random(), generated_group_field
   FROM
     (SELECT 
        "multi_group_wrapper_1".*, generated_group_field, random()
      FROM
        (SELECT *
         FROM
           (SELECT 
              "events"."time", "events"."user_id" as event_user_id
            FROM 
              events_table as "events"
            WHERE 
              user_id > 4) "temp_data_queries"
           INNER JOIN
           (SELECT 
              "users"."user_id"
            FROM 
              users_table as "users"
            WHERE 
              user_id > 4 and value_2 = 5) "user_filters_1" 
           ON ("temp_data_queries".event_user_id = "user_filters_1".user_id)) AS "multi_group_wrapper_1"
        LEFT JOIN
        (SELECT 
            "users"."user_id" AS "user_id", value_2 AS "generated_group_field"
         FROM 
          users_table as "users") "left_group_by_1"
        ON ("left_group_by_1".user_id = "multi_group_wrapper_1".event_user_id)) "eventQuery") "pushedDownQuery" 
  group BY
    "generated_group_field"
  ORDER BY 
    cnt DESC, generated_group_field ASC
  LIMIT 10;
 cnt | generated_group_field 
-----+-----------------------
 336 |                     2
 210 |                     1
 210 |                     3
 126 |                     4
 126 |                     5
  84 |                     0
(6 rows)

-- single table subquery, no JOINS involved
SELECT
count(*) AS cnt, user_id
FROM
  (SELECT 
      "eventQuery"."user_id", random()
   FROM
     (SELECT 
        "events"."user_id"
      FROM 
        events_table "events"
      WHERE 
        event_type IN (1, 2)) "eventQuery") "pushedDownQuery"
GROUP BY
  "user_id"
ORDER BY 
  cnt DESC, user_id DESC
LIMIT 10;
 cnt | user_id 
-----+---------
  11 |       3
  10 |       2
   8 |       4
   6 |       5
   4 |       6
   4 |       1
(6 rows)

-- lateral joins in the nested manner
SET citus.subquery_pushdown to ON;
SELECT *
FROM
  (SELECT 
      "some_users_data".user_id, value_2
   FROM
     (SELECT user_id, max(value_2) AS value_2
      FROM
        (SELECT user_id, value_2
         FROM
           (SELECT 
              user_id, value_2
            FROM 
              events_table as "events"
            WHERE 
              user_id > 1 and user_id < 3) "events_1"
         ORDER BY 
          value_2 DESC
         LIMIT 10000) "recent_events_1"
      GROUP BY 
        user_id
      ORDER BY 
        max(value_2) DESC) "some_recent_users"
   JOIN LATERAL
     (SELECT 
        "users".user_id
      FROM 
        users_table as "users"
      WHERE 
        "users"."user_id" = "some_recent_users"."user_id" AND 
        value_2 > 4
      LIMIT 1) "some_users_data" ON true
   ORDER BY 
    value_2 DESC
   LIMIT 10) "some_users"
ORDER BY 
    value_2 DESC, user_id DESC
LIMIT 10;
 user_id | value_2 
---------+---------
       2 |       5
(1 row)

SET citus.subquery_pushdown to OFF;
-- not pushdownable since lower LATERAL JOIN is not on the partition key
-- not recursively plannable due to LATERAL join where there is a reference
-- from an outer query
SELECT *
FROM
  (SELECT 
      "some_users_data".user_id, value_2
   FROM
     (SELECT user_id, max(value_2) AS value_2
      FROM
        (SELECT user_id, value_2
         FROM
           (SELECT 
              user_id, value_2
            FROM 
              events_table as "events"
            WHERE 
              user_id > 1 and user_id < 3) "events_1"
         ORDER BY 
          value_2 DESC
         LIMIT 10000) "recent_events_1"
      GROUP BY 
        user_id
      ORDER BY 
        max(value_2) DESC) "some_recent_users"
   JOIN LATERAL
     (SELECT 
        "users".user_id
      FROM 
        users_table as "users"
      WHERE 
        "users"."value_2" = "some_recent_users"."user_id" AND 
        value_2 > 4
      LIMIT 1) "some_users_data" ON true
   ORDER BY 
    value_2 DESC
   LIMIT 10) "some_users"
ORDER BY 
    value_2 DESC, user_id DESC
LIMIT 10;
ERROR:  cannot push down this subquery
DETAIL:  Limit in subquery is currently unsupported when a subquery references a column from another query
-- lets test some unsupported set operations
-- not supported since we use INTERSECT
SELECT ("final_query"."event_types") as types, count(*) AS sumOfEventType
FROM
  ( SELECT *, random()
   FROM
     ( SELECT "t"."user_id", "t"."time", unnest("t"."collected_events") AS "event_types"
      FROM
        ( SELECT "t1"."user_id", min("t1"."time") AS "time", array_agg(("t1"."event") ORDER BY TIME ASC, event DESC) AS collected_events
         FROM (
                 (SELECT 
                    *
                  FROM
                   (SELECT 
                      "events"."user_id", "events"."time", 0 AS event
                    FROM 
                      events_table as  "events"
                    WHERE 
                      event_type IN (1, 2) ) events_subquery_1) 
                 UNION 
                 (SELECT 
                    *
                  FROM
                    (SELECT 
                        "events"."user_id", "events"."time", 1 AS event
                     FROM 
                        events_table as "events"
                     WHERE 
                      event_type IN (3, 4) ) events_subquery_2)
               UNION 
                 (SELECT 
                    *
                  FROM
                    (SELECT 
                        "events"."user_id", "events"."time", 2 AS event
                     FROM 
                        events_table as  "events"
                     WHERE 
                      event_type IN (5, 6) ) events_subquery_3)
                INTERSECT 
                  (SELECT 
                      *
                   FROM
                    (SELECT 
                        "events"."user_id", "events"."time", 3 AS event
                     FROM 
                      events_table as "events"
                     WHERE 
                      event_type IN (4, 5)) events_subquery_4)) t1
         GROUP BY "t1"."user_id") AS t) "q" 
INNER JOIN
     (SELECT 
        "users"."user_id"
      FROM 
        users_table as "users"
      WHERE 
        value_1 > 0 and value_1 < 4) AS t 
    ON (t.user_id = q.user_id)) as final_query
GROUP BY 
  types
ORDER BY 
  types;
 types | sumofeventtype 
-------+----------------
     0 |            449
     1 |            433
(2 rows)

-- supported through recursive planning
SELECT ("final_query"."event_types") as types, count(*) AS sumOfEventType
FROM
  ( SELECT *
   FROM
     ( SELECT "t"."user_id", "t"."time", unnest("t"."collected_events") AS "event_types"
      FROM
        ( SELECT "t1"."user_id", min("t1"."time") AS "time", array_agg(("t1"."event") ORDER BY TIME ASC, event DESC) AS collected_events
         FROM (
                 (SELECT 
                    *
                  FROM
                   (SELECT 
                      "events"."user_id", "events"."time", 0 AS event
                    FROM 
                      events_table as  "events"
                    WHERE 
                      event_type IN (1, 2) ) events_subquery_1) 
                 UNION 
                 (SELECT 
                    *
                  FROM
                    (SELECT 
                        "events"."user_id", "events"."time", 1 AS event
                     FROM 
                        events_table as "events"
                     WHERE 
                      event_type IN (3, 4) ) events_subquery_2)
               UNION 
                 (SELECT 
                    *
                  FROM
                    (SELECT 
                        "events"."user_id", "events"."time", 2 AS event
                     FROM 
                        events_table as  "events"
                     WHERE 
                      event_type IN (5, 6) ) events_subquery_3)
                UNION 
                  (SELECT 
                      *
                   FROM
                    (SELECT 
                        "events"."user_id", "events"."time", 3 AS event
                     FROM 
                      events_table as "events"
                     WHERE 
                      event_type IN (4, 5)) events_subquery_4) ORDER BY 1, 2 OFFSET 3) t1
         GROUP BY "t1"."user_id") AS t) "q" 
INNER JOIN
     (SELECT 
        "users"."user_id"
      FROM 
        users_table as "users"
      WHERE 
        value_1 > 0 and value_1 < 4) AS t 
    ON (t.user_id = q.user_id)) as final_query
GROUP BY 
  types
ORDER BY 
  types;
 types | sumofeventtype 
-------+----------------
     0 |            449
     1 |            425
     2 |             75
     3 |            251
(4 rows)

-- not supported due to non relation rte
SELECT ("final_query"."event_types") as types, count(*) AS sumOfEventType
FROM
  ( SELECT *, random()
   FROM
     ( SELECT "t"."user_id", "t"."time", unnest("t"."collected_events") AS "event_types"
      FROM
        ( SELECT "t1"."user_id", min("t1"."time") AS "time", array_agg(("t1"."event") ORDER BY TIME ASC, event DESC) AS collected_events
         FROM (
                 (SELECT 
                    *
                  FROM
                   (SELECT 
                      "events"."user_id", "events"."time", 0 AS event
                    FROM 
                      events_table as  "events"
                    WHERE 
                      event_type IN (1, 2) ) events_subquery_1) 
                 UNION 
                 (SELECT 
                    *
                  FROM
                    (SELECT 
                        "events"."user_id", "events"."time", 1 AS event
                     FROM 
                        events_table as "events"
                     WHERE 
                      event_type IN (3, 4) ) events_subquery_2)
               UNION 
                 (SELECT 
                    *
                  FROM
                    (SELECT 
                        "events"."user_id", "events"."time", 2 AS event
                     FROM 
                        events_table as  "events"
                     WHERE 
                      event_type IN (5, 6) ) events_subquery_3)
                UNION 
                  (SELECT 
                      *
                   FROM
                    (SELECT 
                        1 as user_id, now(), 3 AS event
                    ) events_subquery_4)) t1
         GROUP BY "t1"."user_id") AS t) "q" 
INNER JOIN
     (SELECT 
        "users"."user_id"
      FROM 
        users_table as "users"
      WHERE 
        value_1 > 0 and value_1 < 4) AS t 
    ON (t.user_id = q.user_id)) as final_query
GROUP BY 
  types
ORDER BY 
  types;
 types | sumofeventtype 
-------+----------------
     0 |            449
     1 |            433
     2 |             75
     3 |              4
(4 rows)

-- similar to the above, but constant rte is on the right side of the query
SELECT ("final_query"."event_types") as types, count(*) AS sumOfEventType
FROM
  ( SELECT *, random()
   FROM
     ( SELECT "t"."user_id", "t"."time", unnest("t"."collected_events") AS "event_types"
      FROM
        ( SELECT "t1"."user_id", min("t1"."time") AS "time", array_agg(("t1"."event") ORDER BY TIME ASC, event DESC) AS collected_events
         FROM (
                 (SELECT 
                    *
                  FROM
                   (SELECT 
                      "events"."user_id", "events"."time", 0 AS event
                    FROM 
                      events_table as  "events"
                    WHERE 
                      event_type IN (1, 2) ) events_subquery_1) 
                 UNION 
                 (SELECT 
                    *
                  FROM
                    (SELECT 
                        "events"."user_id", "events"."time", 1 AS event
                     FROM 
                        events_table as "events"
                     WHERE 
                      event_type IN (3, 4) ) events_subquery_2)
               UNION 
                 (SELECT 
                    *
                  FROM
                    (SELECT 
                        "events"."user_id", "events"."time", 2 AS event
                     FROM 
                        events_table as  "events"
                     WHERE 
                      event_type IN (5, 6) ) events_subquery_3)
                UNION 
                  (SELECT 
                      *
                   FROM
                    (SELECT 
                        1 as user_id, now(), 3 AS event
                    ) events_subquery_4)) t1
         GROUP BY "t1"."user_id") AS t) "q" 
INNER JOIN
     (SELECT 1 as user_id) AS t 
    ON (t.user_id = q.user_id)) as final_query
GROUP BY 
  types
ORDER BY 
  types;
 types | sumofeventtype 
-------+----------------
     0 |              4
     1 |              8
     2 |              1
     3 |              1
(4 rows)

-- we've fixed a bug related to joins w/wout alias 
-- while implementing top window functions
-- thus adding some tests related to that (i.e., next 3 tests)
WITH users_events AS
(
  SELECT
    user_id
  FROM
    users_table
)
SELECT
  uid,
  event_type,
  value_2,
  value_3 
FROM (
  (SELECT
    user_id as uid
  FROM
    users_events
  ) users
  JOIN
    events_table
  ON
    users.uid = events_table.event_type
  ) a
ORDER BY
  1,2,3,4
LIMIT 5;
 uid | event_type | value_2 | value_3 
-----+------------+---------+---------
   1 |          1 |       0 |       2
   1 |          1 |       0 |       2
   1 |          1 |       0 |       2
   1 |          1 |       0 |       2
   1 |          1 |       0 |       2
(5 rows)

-- the following queries are almost the same,
-- the only difference is the final GROUP BY
SELECT a.user_id, avg(b.value_2) as subquery_avg
FROM
  (SELECT 
      user_id
   FROM 
      users_table
   WHERE 
      (value_1 > 2)
   GROUP BY 
      user_id
   HAVING 
      count(distinct value_1) > 2
  ) as a
  LEFT JOIN
  (SELECT 
      DISTINCT ON (value_2) value_2 , user_id, value_3
   FROM 
      users_table
   WHERE 
      (value_1 > 3)
   ORDER BY 
      1,2,3
  ) AS b
  USING (user_id)
GROUP BY user_id
ORDER BY 1, 2;
 user_id |      subquery_avg      
---------+------------------------
       1 |     2.3333333333333333
       3 |     5.0000000000000000
       4 | 1.00000000000000000000
       5 |                       
(4 rows)

-- see the comment for the above query
SELECT a.user_id, avg(b.value_2) as subquery_avg
FROM
  (SELECT 
      user_id
   FROM 
      users_table
   WHERE 
      (value_1 > 2)
   GROUP BY 
      user_id
   HAVING 
      count(distinct value_1) > 2
  ) as a
  LEFT JOIN
  (SELECT 
      DISTINCT ON (value_2) value_2 , user_id, value_3
   FROM 
      users_table
   WHERE 
      (value_1 > 3)
   ORDER BY 
      1,2,3
  ) AS b
  USING (user_id)
GROUP BY a.user_id
ORDER BY 1, 2;
 user_id |      subquery_avg      
---------+------------------------
       1 |     2.3333333333333333
       3 |     5.0000000000000000
       4 | 1.00000000000000000000
       5 |                       
(4 rows)

-- queries where column aliases are used
-- the query is not very complex. join is given an alias with aliases
-- for each output column
SELECT k1 
FROM (
	SELECT k1, random()
	FROM (users_table JOIN events_table USING (user_id)) k (k1, k2, k3)) l
ORDER BY k1
LIMIT 5;
 k1 
----
  1
  1
  1
  1
  1
(5 rows)

SELECT DISTINCT k1 
FROM (
	SELECT k1, random()
	FROM (users_table JOIN events_table USING (user_id)) k (k1, k2, k3)) l
ORDER BY k1
LIMIT 5;
 k1 
----
  1
  2
  3
  4
  5
(5 rows)

SELECT x1, x3, value_2
FROM (users_table u FULL JOIN events_table e ON (u.user_id = e.user_id)) k(x1, x2, x3, x4, x5)
ORDER BY 1, 2, 3
LIMIT 5;
 x1 | x3 | value_2 
----+----+---------
  1 |  1 |       1
  1 |  1 |       1
  1 |  1 |       1
  1 |  1 |       2
  1 |  1 |       2
(5 rows)

SELECT x1, x3, value_2
FROM (users_table u FULL JOIN events_table e USING (user_id)) k(x1, x2, x3, x4, x5)
ORDER BY 1, 2, 3
LIMIT 5;
 x1 | x3 | value_2 
----+----+---------
  1 |  1 |       1
  1 |  1 |       1
  1 |  1 |       1
  1 |  1 |       2
  1 |  1 |       2
(5 rows)

SELECT c_custkey
FROM  (users_table LEFT OUTER JOIN events_table ON (users_table.user_id = events_table.user_id)) AS test(c_custkey, c_nationkey)
	INNER JOIN users_table as u2 ON (test.c_custkey = u2.user_id)
ORDER BY 1 DESC
LIMIT 10;
 c_custkey 
-----------
         6
         6
         6
         6
         6
         6
         6
         6
         6
         6
(10 rows)

SELECT c_custkey, date_trunc('minute', max(c_nationkey))
FROM  (users_table LEFT OUTER JOIN events_table ON (users_table.user_id = events_table.user_id)) AS test(c_custkey, c_nationkey)
	INNER JOIN users_table as u2 ON (test.c_custkey = u2.user_id)
GROUP BY 1
ORDER BY 2, 1
LIMIT 10;
 c_custkey |        date_trunc        
-----------+--------------------------
         2 | Thu Nov 23 13:52:00 2017
         6 | Thu Nov 23 14:43:00 2017
         4 | Thu Nov 23 15:32:00 2017
         5 | Thu Nov 23 16:48:00 2017
         3 | Thu Nov 23 17:18:00 2017
         1 | Thu Nov 23 17:30:00 2017
(6 rows)

SELECT c_custkey, date_trunc('minute', max(c_nationkey))
FROM  (users_table LEFT OUTER JOIN events_table ON (users_table.user_id = events_table.user_id)) AS test(c_custkey, c_nationkey)
	INNER JOIN users_table as u2 ON (test.c_custkey = u2.user_id)
GROUP BY 1
HAVING extract(minute from max(c_nationkey))  >= 45
ORDER BY 2, 1
LIMIT 10;
 c_custkey |        date_trunc        
-----------+--------------------------
         2 | Thu Nov 23 13:52:00 2017
         5 | Thu Nov 23 16:48:00 2017
(2 rows)

SELECT user_id
FROM (users_table JOIN events_table USING (user_id)) AS test(user_id, c_nationkey)
	FULL JOIN users_table AS u2 USING (user_id)
ORDER BY 1 DESC
LIMIT 10;
 user_id 
---------
       6
       6
       6
       6
       6
       6
       6
       6
       6
       6
(10 rows)

-- nested joins
SELECT bar, value_3_table.value_3
FROM ((users_table
      JOIN (events_table INNER JOIN users_reference_table foo ON (events_table.user_id = foo.value_2)) AS deeper_join(user_id_deep)  
     	ON (users_table.user_id = deeper_join.user_id_deep)) AS test(c_custkey, c_nationkey)
		LEFT JOIN users_table AS u2 ON (test.c_custkey = u2.user_id)) outer_test(bar,foo)
	JOIN LATERAL (SELECT value_3 FROM events_table WHERE user_id = bar) as value_3_table ON true
GROUP BY 1,2
ORDER BY 2 DESC, 1 DESC
LIMIT 10;
 bar | value_3 
-----+---------
   3 |       5
   2 |       5
   1 |       5
   5 |       4
   4 |       4
   3 |       4
   2 |       4
   1 |       4
   5 |       3
   4 |       3
(10 rows)

-- lateral joins
SELECT bar,
       value_3_table.value_3
FROM ((users_table
       JOIN (events_table
             INNER JOIN users_reference_table foo ON (events_table.user_id = foo.value_2)) AS deeper_join(user_id_deep) ON (users_table.user_id = deeper_join.user_id_deep)) AS test(c_custkey, c_nationkey)
      LEFT JOIN users_table AS u2 ON (test.c_custkey = u2.user_id)) outer_test(bar, foo)
JOIN LATERAL
  (SELECT value_3
   FROM events_table
   WHERE user_id = bar) AS value_3_table ON TRUE
GROUP BY 1, 2
ORDER BY 2 DESC, 1 DESC
LIMIT 10;
 bar | value_3 
-----+---------
   3 |       5
   2 |       5
   1 |       5
   5 |       4
   4 |       4
   3 |       4
   2 |       4
   1 |       4
   5 |       3
   4 |       3
(10 rows)

--Joins inside subqueries are the sources of the values in the target list:
SELECT bar, foo.value_3, c_custkey, test_2.time_2 FROM
(
	SELECT bar, value_3_table.value_3, random()
	FROM ((users_table
	      JOIN (events_table INNER JOIN users_reference_table foo ON (events_table.user_id = foo.value_2)) AS deeper_join(user_id_deep)  
	     	ON (users_table.user_id = deeper_join.user_id_deep)) AS test(c_custkey, c_nationkey)
			LEFT JOIN users_table AS u2 ON (test.c_custkey = u2.user_id)) outer_test(bar,foo)
		JOIN LATERAL (SELECT value_3 FROM events_table WHERE user_id = bar) as value_3_table ON true
	GROUP BY 1,2
) as foo, (users_table
	      JOIN (events_table INNER JOIN users_reference_table foo ON (events_table.user_id = foo.value_2)) AS deeper_join_2(user_id_deep)  
	     	ON (users_table.user_id = deeper_join_2.user_id_deep)) AS test_2(c_custkey, time_2) WHERE foo.bar = test_2.c_custkey
ORDER BY 2 DESC, 1 DESC, 3 DESC, 4 DESC
LIMIT 10;
 bar | value_3 | c_custkey |             time_2              
-----+---------+-----------+---------------------------------
   3 |       5 |         3 | Thu Nov 23 17:18:51.048758 2017
   3 |       5 |         3 | Thu Nov 23 17:18:51.048758 2017
   3 |       5 |         3 | Thu Nov 23 17:18:51.048758 2017
   3 |       5 |         3 | Thu Nov 23 17:18:51.048758 2017
   3 |       5 |         3 | Thu Nov 23 17:18:51.048758 2017
   3 |       5 |         3 | Thu Nov 23 17:18:51.048758 2017
   3 |       5 |         3 | Thu Nov 23 17:18:51.048758 2017
   3 |       5 |         3 | Thu Nov 23 17:18:51.048758 2017
   3 |       5 |         3 | Thu Nov 23 17:18:51.048758 2017
   3 |       5 |         3 | Thu Nov 23 17:18:51.048758 2017
(10 rows)