Re: Performance issue with order by clause on - Mailing list pgsql-performance

From Corey Huinker
Subject Re: Performance issue with order by clause on
Date
Msg-id CADkLM=fzavuZ062LGFUDiqYB5wDYqmfdog8PMa9HF0aegez95w@mail.gmail.com
Whole thread Raw
In response to Performance issue with order by clause on  (Maracska Ádám <csuszmusz@gmail.com>)
Responses AW: Performance issue with order by clause on
List pgsql-performance
On Wed, Mar 20, 2019 at 9:36 AM Maracska Ádám <csuszmusz@gmail.com> wrote:
Hi,

I would like to overcome an issue which occurs only in case with order by clause.

Details:
I am trying to insert into a temporary table 50 rows from a joined table ordered by a modification time column which is inserted by the current time so it is ordered ascending.

Each table has index on the following columns: PRIMARY KEY(SystemID, ObjectID, ElementID,  ModificationTime)

Statement:

sqlString := 'INSERT INTO ResultTable (
SELECT * FROM "TABLE" a  LEFT OUTER JOIN "TABLE_Text" l1031  ON  a.ModificationTime = l1031.ModificationTime AND a.SystemID = l1031.SystemID AND a.ObjectID = l1031.ObjectID AND a.ElementID = l1031.ElementID  AND l1031.LCID = 1031 LEFT OUTER JOIN  ( SELECT * AS CommentNumber FROM "TABLE_Comment" v1  GROUP BY v1.ModificationTime, v1.SystemID, v1.ObjectID, v1.ElementID ) c ON  a.ModificationTime = c.ModificationTime AND a.SystemID = c.SystemID AND a.ObjectID = c.ObjectID AND a.ElementID = c.ElementID WHERE a.ModificationTime BETWEEN $1 AND $2  AND ( a.Enabled = 1 ) ORDER BY a.ModificationTime DESC LIMIT 50));

EXECUTE sqlString USING StartTime,EndTime;  


node typecountsum of times% of query
Hash18.844 ms10.0 %
Hash Left Join133.715 ms38.0 %
Insert10.734 ms0.8 %
Limit10.003 ms0.0 %
Seq Scan222.735 ms25.6 %
Sort122.571 ms25.5 %
Subquery Scan10.046 ms0.1 %



Execution Plan: https://explain.depesz.com/s/S96g (Obfuscated)


If I remove the order by clause I get the following results:

node type

count

sum of times

% of query

Index Scan

2

27.632 ms

94.9 %

Insert

1

0.848 ms

2.9 %

Limit

1

0.023 ms

0.1 %

Merge Left Join

1

0.423 ms

1.5 %

Result

1

0.000 ms

0.0 %

Subquery Scan

1

0.186 ms

0.6 %


Which is pointing me to a problem with the sorting. Is there any way that I could improve the performance with order by clause?

To make the problem more transparent I ran a long run test where you can see that with order by clause the performance is linearly getting worse:

image.png


Postgresql version: "PostgreSQL 11.1, compiled by Visual C++ build 1914, 64-bit"

Istalled by: With  EnterpriseDB One-click installer from EDB's offical site.

Postgresql.conf changes: Used pgtune suggestions:
# DB Version: 11 
# OS Type: windows 
# DB Type: desktop 
# Total Memory (RAM): 8 GB 
# CPUs num: 4 
# Connections num: 25 
# Data Storage: hdd 
max_connections = 25 
shared_buffers = 512MB 
effective_cache_size = 2GB 
maintenance_work_mem = 512MB 
checkpoint_completion_target = 0.5 
wal_buffers = 16MB 
default_statistics_target = 100 
random_page_cost = 4 
work_mem = 8738kB 
min_wal_size = 100MB 
max_wal_size = 1GB 
max_worker_processes = 4 
max_parallel_workers_per_gather = 2 
max_parallel_workers = 4

Operating System: Windows 10 x64, Version: 1607

Thanks in advance,
Best Regards,
Tom Nay

The queries are not equivalent. One returns the first 50 rows it finds regardless of what qualities they possess, and the other one must fetch all rows and then decide which 50 are the most recent.

They're the difference between: 
Find any 10 people in your city.
Find the TALLEST 10 people in your city.  This will scale poorly in large cities.

If you have an index on ModificationTime, then the query can seek to the highest row matching the between clause, and walk backwards looking for rows that match any other criteria, so that will help, because it will avoid the sort.
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