Re: Optimize LISTEN/NOTIFY - Mailing list pgsql-hackers

From Chao Li
Subject Re: Optimize LISTEN/NOTIFY
Date
Msg-id 6F913129-ABEF-4004-AAF3-F22FC3429AE8@gmail.com
Whole thread Raw
In response to Re: Optimize LISTEN/NOTIFY  ("Joel Jacobson" <joel@compiler.org>)
List pgsql-hackers

> On Oct 15, 2025, at 23:36, Joel Jacobson <joel@compiler.org> wrote:
>
>> I agree with Tom that GetPendingNotifyChannels() is too heavy and unnecessary.
>>
>> In PreCommit_Notify(), we can maintain a local hash table to record
>> pending nofications’ channel names. dahash also supports hash table in
>> local memory.
>
> I'm confused, I assume you mean "dynahash" since there is no "dahash"
> in the sources? I see dynahash has local-to-a-backend support,
> but I don't see why we would need a hash table for this,
> we just iterate over it once in SignalBackends,
> I think the local list is fine.
>
> The latest version gets rid of GetPendingNotifyChannels()
> and replaces it with the local list pendingNotifyChannels.

Sorry for the typo, Yes, I meant to dynahash” that you have already been using it.

In v18, I see you are building “pendingNotifyChannels” in PreCommit_Notify() with “List”:

```
+        /*
+         * Build list of unique channels for SignalBackends().
+         */
+        pendingNotifyChannels = NIL;
+        foreach_ptr(Notification, n, pendingNotifies->events)
+        {
+            char       *channel = n->data;
+
+            /* Add if not already in list */
+            if (!list_member_ptr(pendingNotifyChannels, channel))
+                pendingNotifyChannels = lappend(pendingNotifyChannels, channel);
+        }
```

My suggestion of using dynahah was for the same purpose. Because list_member_ptr() iterates through all list nodes
untilfind the target, so this code is still O(n^2). 

Using a hash will make it faster. I used to work on project Concourse [1]. The system is heavily using the
LISTEN/NOTIFYmechanism. There would be thousands of channels at runtime. In that case, hash search would be much faster
thanlinear search. 

[1] https://github.com/concourse/concourse

Best regards,
--
Chao Li (Evan)
HighGo Software Co., Ltd.
https://www.highgo.com/







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