Re: Primary key index suddenly became very slow - Mailing list pgsql-performance

From Gustav Karlsson
Subject Re: Primary key index suddenly became very slow
Date
Msg-id EC62E940-B42B-4AA3-BC39-8A09D2ECBE9C@bekk.no
Whole thread Raw
In response to Primary key index suddenly became very slow  (Gustav Karlsson <gustav.karlsson@bekk.no>)
Responses Re: Primary key index suddenly became very slow  (jaime soler <jaime.soler@gmail.com>)
Re: Primary key index suddenly became very slow  (Venkata Balaji N <nag1010@gmail.com>)
List pgsql-performance
Additional information:

The problematic row has likely received many hot updates (100k+). Could this be a likely explanation for the high execution time?


Regards,
Gustav



On Feb 8, 2016, at 10:45 AM, Gustav Karlsson <gustav.karlsson@bekk.no> wrote:

Hi,

Question:

What may cause a primary key index to suddenly become very slow? Index scan for single row taking 2-3 seconds. A manual vacuum resolved the problem.


Background:

We have a simple table ‘KONTO’ with about 600k rows. 


            Column            |            Type             |   Modifiers
------------------------------+-----------------------------+---------------
 id                           | bigint                      | not null
...

Indexes:
    "konto_pk" PRIMARY KEY, btree (id)
...


Over the weekend we experienced that lookups using the primary key index (‘konto_pk’) became very slow, in the region 2-3s for fetching a single record:

QUERY PLAN
Index Scan using konto_pk on konto  (cost=0.42..6.44 rows=1 width=164) (actual time=0.052..2094.549 rows=1 loops=1)
  Index Cond: (id = 2121172829)
Planning time: 0.376 ms
Execution time: 2094.585 ms


After a manual Vacuum the execution time is OK:

QUERY PLAN
Index Scan using konto_pk on konto  (cost=0.42..6.44 rows=1 width=164) (actual time=0.037..2.876 rows=1 loops=1)
  Index Cond: (id = 2121172829)
Planning time: 0.793 ms
Execution time: 2.971 ms


So things are working OK again, but we would like to know what may cause such a degradation of the index scan, to avoid this happening again? (We are using Postgresql version 9.4.4)



Regards,
Gustav

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