Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

chore: Optimize postgres - use of rowCallback approach #2171

Merged
merged 5 commits into from
Oct 31, 2023

Conversation

Ivansete-status
Copy link
Collaborator

Description

This represents a quite important time reduction in Postgres queries. However, still slower than SQLite.
The main issue happened because the we were processing the obtained rows multiple times, and there were an overhead due to changing the rows objects from one type to another.
In this PR we aim to reduce the type conversion overhead by providing a rowCallback(result: ptr PGresult) to the dbconn object.

( Thanks to @NagyZoltanPeter for the help to achieve that. )

Changes

  • Use of rowCalback to retrieve rows in a more direct way.
  • Change logic on how to retrieve the first free connection - waku/common/databases/db_postgres/pgasyncpool.nim

Issue

#1842

@github-actions
Copy link

This PR may contain changes to database schema of one of the drivers.

If you are introducing any changes to the schema, make sure the upgrade from the latest release to this change passes without any errors/issues.

Please make sure the label release-notes is added to make sure upgrade instructions properly highlight this change.

@Ivansete-status Ivansete-status self-assigned this Oct 30, 2023
@github-actions
Copy link

You can find the image built from this PR at

quay.io/wakuorg/nwaku-pr:2171

Built from 3145510

@Ivansete-status Ivansete-status marked this pull request as ready for review October 30, 2023 19:00
Copy link
Contributor

@NagyZoltanPeter NagyZoltanPeter left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Read through and totally awesome work! Thank you!!!

@NagyZoltanPeter
Copy link
Contributor

@Ivansete-status: One concern I thought about, but not connected directly to this PR.
The query where clause processing (aka string replacing arguments) maybe harmful. I did not look through the whole data flow, but as this is fully exposed to the interface level, it might be possible that one can achieve SQL injection attack against the db.
Maybe it is worth to track down later.
Also maybe to consider to switch to prepared statements and execution if possible, that would mean some little perf gain on DB side either.

@Ivansete-status
Copy link
Collaborator Author

Also maybe to consider to switch to prepared statements and execution if possible, that would mean some little perf gain on DB side either.

Thanks for the comment!
In fact, today I was planning to do exactly that and use prepared statements in the select queries. The thing is that when we have concurrent queries, each connection stays in "busy" state (db.pqisBusy() == 1) for a lot of time, once the query has been sent (db.pqsendQuery(...).)

I agree to review the "SQL injection" issue in the future.

@NagyZoltanPeter
Copy link
Contributor

Also maybe to consider to switch to prepared statements and execution if possible, that would mean some little perf gain on DB side either.

Thanks for the comment!
In fact, today I was planning to do exactly that and use prepared statements in the select queries. The thing is that when we have concurrent queries, each connection stays in "busy" state (db.pqisBusy() == 1) for a lot of time, once the query has been sent (db.pqsendQuery(...).)

I agree to review the "SQL injection" issue in the future.

Indeed, prepared statement secure that one as well.

Copy link
Contributor

@SionoiS SionoiS left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

LGTM

Thanks!

Comment on lines -17 to -18
logScope:
topics = "postgres asyncpool"
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

We don't log anything anymore? Or was it not used.

Copy link
Collaborator Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Good point! It was not used. In fact, all the exposed procs return Result so it is pretty likely that we won't need many longs in this file.

@Ivansete-status Ivansete-status merged commit 2b4ca4d into master Oct 31, 2023
9 of 10 checks passed
@Ivansete-status Ivansete-status deleted the optimize-postgres branch October 31, 2023 13:46
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

3 participants