Postgresql ECORD顺序正确（每个开始模式都有一个匹配的停止模式，并且它们不嵌套） |action id | comment | timestamp | |----------|-----------------|--------------|

ECORD顺序正确（每个开始模式都有一个匹配的停止模式，并且它们不嵌套）

|action id |     comment     |  timestamp   |
|----------|-----------------|--------------|
|   0110   | random comment  |  timestamp 1 |
|   0117   | text pattern 1  |  timestamp 2 | 
|   0129   | RANDOM COMMENT  |  timestamp 3 |
|   0130   | text pattern 2  |  timestamp 4 |
|   0136   | random comment  |  timestamp 5 |
|   etc..  |                 |              |

select distinct ht.accountid, ht.id, ht.comment
  from historic_table ht 
 where ht.id > (select MAX(ht1.id) from historic_table ht1 where ht1.accountid = ht.accountid and ht1.comment ilike '%comment pattern 1%')
   and ht.id < (select MAX(ht2.id) from historic_table ht2 where ht2.accountid = ht.accountid and ht2.comment ilike '%comment pattern 2%')
 limit 10

CREATE TABLE zaction(
        id INTEGER NOT NULL PRIMARY KEY
        , zcomment text
        , ztimestamp timestamp NOT NULL
        );

INSERT INTO zaction(id, zcomment, ztimestamp) VALUES
 (   0110,      'random comment', '2017-04-27 12:00:00' )
,(   0117,      'text pattern 1', '2017-04-27 12:10:00' )
,(   0129,      'RANDOM COMMENT', '2017-04-27 12:20:00' )
,(   0130,      'text pattern 2', '2017-04-27 12:30:00' )
,(   0136,      'random comment', '2017-04-27 12:40:00' )
        --
,(   1110,      'random comment', '2017-04-27 12:00:00' )
,(   1117,      'text pattern 1', '2017-04-27 12:10:00' )
,(   1123,      'RANDOM COMMENT', '2017-04-27 12:20:00' )
,(   1129,      'RANDOM CONTENT', '2017-04-27 12:20:00' )
,(   1130,      'text pattern 2', '2017-04-27 12:30:00' )
,(   1136,      'random comment', '2017-04-27 12:40:00' )
        --
        ;

VACUUM ANALYZE zaction;


-- SELECT * FROM zaction;

EXPLAIN
WITH z1 AS (
        SELECT za.id
        , CASE WHEN zcomment ilike '%text pattern 1' THEN 1
             WHEN zcomment ilike '%text pattern 2' THEN -1
             ELSE 0 END AS dir
        FROM zaction za
        )
, z2 AS (
        SELECT z1.id, z1.dir
        , SUM(z1.dir) OVER (ORDER BY z1.id) AS yesno
        FROM z1
        )
SELECT za.*
FROM zaction za
JOIN z2 ON z2.id = za.id AND z2.yesno > 0 AND z2.dir = 0
        ;

-- EXPLAIN
WITH z1 AS (
        SELECT za.id
        , CASE WHEN zcomment ilike '%text pattern 1' THEN 1
             WHEN zcomment ilike '%text pattern 2' THEN -1
             ELSE 0 END AS dir
        FROM zaction za
        WHERE zcomment ilike '%text pattern %'  -- <<== preselection to keep the CTE small
        )
SELECT za.*
FROM zaction za
JOIN (                                          -- <<== Join with subquery to give the optimiser some freedom
        SELECT za.id, z1.dir
        , SUM(z1.dir) OVER (ORDER BY za.id) AS yesno
        FROM zaction za
        LEFT JOIN z1 ON z1.id = za.id           -- <<== remerge with original set, whicha coulduse an index
        ) z2 ON z2.id = za.id AND z2.yesno > 0 AND z2.dir IS DISTINCT FROM 1
        ;

  select ht.accountid
        ,string_agg(ht.id::text, ', ') as actions_ids
        ,string_agg(ht.comment, ', ') as comments
    from historic_table ht 
   where ht.timestamp >= '2017-02-01'
     and ht.timestamp <  '2017-03-01'
     and ht.id > (select max(ht1.id) from historic_table ht1 where ht1.accountid = ht.accountid and ht1.comment ilike '%comment pattern 1%')
     and ht.id < (select max(ht2.id) from historic_table ht2 where ht2.accountid = ht.accountid and ht2.comment ilike '%comment pattern 2%')
group by ht.accountid
order by 1