Re: Explain plan changes - IN CLAUSE ( Passing direct values Vs INNERQuery ) - Mailing list pgsql-performance

From Adrian Klaver
Subject Re: Explain plan changes - IN CLAUSE ( Passing direct values Vs INNERQuery )
Date
Msg-id 92fe033c-0221-30e3-1143-de8b0c8d923b@aklaver.com
Whole thread Raw
In response to Explain plan changes - IN CLAUSE ( Passing direct values Vs INNERQuery )  (Amarendra Konda <amar.vijaya@gmail.com>)
Responses Re: Explain plan changes - IN CLAUSE ( Passing direct values Vs INNERQuery )  ("David G. Johnston" <david.g.johnston@gmail.com>)
Re: Explain plan changes - IN CLAUSE ( Passing direct values Vs INNERQuery )  ("David G. Johnston" <david.g.johnston@gmail.com>)
Re: Explain plan changes - IN CLAUSE ( Passing direct values Vs INNERQuery )  (Amarendra Konda <amar.vijaya@gmail.com>)
Re: Explain plan changes - IN CLAUSE ( Passing direct values Vs INNERQuery )  (Amarendra Konda <amar.vijaya@gmail.com>)
List pgsql-performance
On 5/7/20 4:19 AM, Amarendra Konda wrote:
> Hi,
> 
> PostgreSQL version : PostgreSQL 9.6.2 on x86_64-pc-linux-gnu, compiled 
> by gcc (GCC) 4.8.3 20140911 (Red Hat 4.8.3-9), 64-bit
> 
> We have noticed huge difference interms of execution plan ( response 
> time) , When we pass the direct values  Vs  inner query to IN clause.
> 
> High level details of the use case are as follows
> 
>   * As part of the SQL there are 2 tables named Process_instance
>     (master) and Process_activity ( child)
>   * Wanted to fetch TOP 50 rows from  Process_activity table for the
>     given values of the Process_instance.
>   * When we used Inner Join / Inner query ( query1)  between parent
>     table and child table , LIMIT is not really taking in to account.
>     Instead it is fetching more rows and columns that required, and
>     finally limiting the result

It is doing what you told it to do which is SELECT all 
process_instance_i's for user_id='317079413683604' and app_id = 
'427380312000560' and then filtering further. I am going to guess that 
if you run the inner query alone you will find it returns ~23496 rows.
You might have better results if you an actual join between 
process_activity and process_instance. Something like below(obviously 
not tested):

SELECT
     pa.process_activity_id
FROM
     process_activity pa
JOIN
     process_instance pi
ON
     pa.process_instance_id = pi.process_instance_id
WHERE
     pa.app_id = '427380312000560'
     AND
          pa.created > '1970-01-01 00:00:00'
     AND
          pi.user_id = '317079413683604'
ORDER BY
     pa.process_instance_id,
     pa.created
LIMIT 50;

The second query is not equivalent as you are not filtering on user_id 
and you are filtering on only three process_instance_id's.


>   *
> 
> 
> *Query1*
> 
> web_1=> EXPLAIN (ANALYZE, COSTS, VERBOSE, BUFFERS) SELECT 
> pa.process_activity_id  FROM process_activity pa WHERE pa.app_id = 
> '427380312000560' AND pa.created > '1970-01-01 00:00:00' AND 
> pa.process_instance_id in *_(SELECT pi.process_instance_id FROM 
> process_instance pi WHERE pi.user_id = '317079413683604' AND pi.app_id = 
> '427380312000560')_* ORDER BY pa.process_instance_id,pa.created limit 50;
>                                                                          
>                                                                          
>                                                                  QUERY PLAN
>                                                  
>
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
>   Limit  (cost=1071.47..1071.55 rows=31 width=24) (actual 
> time=85.958..85.991 rows=50 loops=1)
>     Output: pa.process_activity_id, pa.process_instance_id, pa.created
>     Buffers: shared hit=43065
>     ->  Sort  (cost=1071.47..1071.55 rows=31 width=24) (actual 
> time=85.956..85.971 rows=50 loops=1)
>           Output: pa.process_activity_id, pa.process_instance_id, pa.created
>           Sort Key: pa.process_instance_id, pa.created
>           Sort Method: top-N heapsort  Memory: 28kB
>           Buffers: shared hit=43065
>           ->  Nested Loop  (cost=1.14..1070.70 rows=31 width=24) (actual 
> time=0.031..72.183 rows=46992 loops=1)
>                 Output: pa.process_activity_id, pa.process_instance_id, 
> pa.created
>                 Buffers: shared hit=43065
>                 ->  Index Scan using fki_conv_konotor_user_user_id on 
> public.process_instance pi  (cost=0.43..2.66 rows=1 width=8) (actual 
> time=0.010..0.013 rows=2 loops=1)
>                       Output: pi.process_instance_id
>                       Index Cond: (pi.user_id = '317079413683604'::bigint)
>                       Filter: (pi.app_id = '427380312000560'::bigint)
>                       Buffers: shared hit=5
>                 ->  Index Scan using 
> process_activity_process_instance_id_app_id_created_idx on 
> public.process_activity pa  (cost=0.70..1053.80 rows=1425 width=24) 
> (actual time=0.015..20.702 rows=*23496* loops=2)
> * Output: pa.process_activity_id, pa.process_activity_type, 
> pa.voice_url, pa.process_activity_user_id, pa.app_id, 
> pa.process_instance_id, pa.alias, pa.read_by_user, pa.source, 
> pa.label_category_id, pa.label_id, pa.csat_response_id, 
> pa.process_activity_fragments, pa.created, pa.updated, pa.rule_id, pa.market
> ing_reply_id, pa.delivered_at, pa.reply_fragments, pa.status_fragment, 
> pa.internal_meta, pa.interaction_id, pa.do_not_translate, 
> pa.should_translate, pa.in_reply_to*
>                       Index Cond: ((pa.process_instance_id = 
> pi.process_instance_id) AND (pa.app_id = '427380312000560'::bigint) AND 
> (pa.created > '1970-01-01 00:00:00'::timestamp without time zone))
>                       Buffers: shared hit=43060
>   Planning time: 0.499 ms
>   Execution time: 86.040 ms
> (22 rows)
> 
> *_Query 2_*
> 
> web_1=>  EXPLAIN (ANALYZE, COSTS, VERBOSE, BUFFERS) SELECT 
> pa.process_activity_id AS m_process_activity_id FROM process_activity m 
> WHERE pa.app_id = '427380312000560' AND pa.created > '1970-01-01 
> 00:00:00' AND pa.process_instance_id in 
> (*240117466018927,325820556706970,433008275197305*) ORDER BY 
> pa.process_instance_id,pa.created limit 50;
>                                                                          
>                                     QUERY PLAN
>
---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
>   Limit  (cost=0.70..37.66 rows=50 width=24) (actual time=0.023..0.094 
> rows=50 loops=1)
>     Output: process_activity_id, process_instance_id, created
>     Buffers: shared hit=50
>     ->  Index Scan using 
> process_activity_process_instance_id_app_id_created_idx on 
> public.process_activity pa  (cost=0.70..3124.97 rows=4226 width=24) 
> (actual time=0.022..0.079 *rows=50* loops=1)
>           Output: process_activity_id, process_instance_id, created
>           Index Cond: ((pa.process_instance_id = ANY 
> ('{140117466018927,225820556706970,233008275197305}'::bigint[])) AND 
> (pa.app_id = '427380312000560'::bigint) AND (pa.created > '1970-01-01 
> 00:00:00'::timestamp without time zone))
>           Buffers: shared hit=50
>   Planning time: 0.167 ms
>   Execution time: 0.137 ms
> (9 rows)
> 
> 
> Can someone explain
> 
>   * Why It is fetching more columns and more rows, incase of inner query ?
>   * Is there any option to really limit values with INNER JOIN, INNER
>     query ? If yes, can you please share information on this ?
> 
> Thanks in advance for your time and suggestions.
> 
> Regards, Amar


-- 
Adrian Klaver
adrian.klaver@aklaver.com



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