From: | "Jameson, Hunter 'James'" <hunjmes(at)amazon(dot)com> |
---|---|
To: | Justin Pryzby <pryzby(at)telsasoft(dot)com> |
Cc: | "pgsql-hackers(at)postgresql(dot)org" <pgsql-hackers(at)postgresql(dot)org> |
Subject: | Re: Fix for parallel BTree initialization bug |
Date: | 2020-09-10 18:02:15 |
Message-ID: | D1CDB3C9-1BCE-41E1-8988-49349652BFE2@amazon.com |
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Lists: | pgsql-hackers |
Answers inline below, sorry for the formatting-- am still trying to get corporate email to work nicely with this mailing list, thanks.
On 9/9/20, 9:22 PM, "Justin Pryzby" <pryzby(at)telsasoft(dot)com> wrote:
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On Tue, Sep 08, 2020 at 06:25:03PM +0000, Jameson, Hunter 'James' wrote:
> Hi, I ran across a small (but annoying) bug in initializing parallel BTree scans, which causes the parallel-scan state machine to get confused. The fix is one line; the description is a bit longer—
What postgres version was this ?
We have observed this bug on PostgreSQL versions 11.x and 10.x. I don't believe it occurs in PostgreSQL versions 9.x, because 9.x does not have parallel BTree scan.
> Before, function _bt_first() would exit immediately if the specified scan keys could never be satisfied--without notifying other parallel workers, if any, that the scan key was done. This moved that particular worker to a scan key beyond what was in the shared parallel-query state, so that it would later try to read in "InvalidBlockNumber", without recognizing it as a special sentinel value.
>
> The basic bug is that the BTree parallel query state machine assumes that a worker process is working on a key <= the global key--a worker process can be behind (i.e., hasn't finished its work on a previous key), but never ahead. By allowing the first worker to move on to the next scan key, in this one case, without notifying other workers, the global key ends up < the first worker's local key.
>
> Symptoms of the bug are: on R/O, we get an error saying we can't extend the index relation, while on an R/W we just extend the index relation by 1 block.
What's the exact error ? Are you able to provide a backtrace ?
I am not able to provide a full backtrace, unfortunately, but the relevant part appears to be:
ReadBuffer (... blockNum=blockNum(at)entry=4294967295)
_bt_getbuf (... blkno=4294967295 ...)
_bt_readnextpage (... blkno=4294967295 ... )
_bt_steppage (...)
_bt_next (...)
btgettuple (...)
index_getnext_tid (...)
index_getnext (...)
IndexNext (...)
Notice that _bt_steppage() is passing InvalidBlockNumber to ReadBuffer(). That is the bug.
> To reproduce, you need a query that:
>
> 1. Executes parallel BTree index scan;
> 2. Has an IN-list of size > 1;
Do you mean you have an index on col1 and a query condition like: col1 IN (a,b,c...) ?
Something like that, yes,
> 3. Has an additional index filter that makes it impossible to satisfy the
> first IN-list condition.
.. AND col1::text||'foo' = '';
I think you mean that the "impossible" condition makes it so that a btree
worker exits early.
Specifically, on that worker, _bt_first() sees !so->qual_ok and just returns "false". That is the bug. The fix is that the worker must also call _bt_parallel_done(scan), as is done everywhere else in _bt_first() where it returns "false".
> (We encountered such a query, and therefore the bug, on a production instance.)
Could you send the "shape" of the query or its plan, obfuscated and redacted as
need be ?
Plan is something like:
Finalize GroupAggregate ... (... loops=1)
Group Key: (...)
-> Gather Merge ... (... loops=1)
Workers Planned: 2
Workers Launched: 2
-> Partial GroupAggregate ... (... loops=3)
Group Key: (...)
-> Sort ... (... loops=3)
Sort Key: (...)
Sort Method: quicksort ...
-> Nested Loop ... (... loops=3)
-> Parallel Index Scan using ... (... loops=3)
Index Cond: (((f ->> 't') >= ... ) AND ((f ->> 't') < ...) AND (((f -> 'c') ->> 't') = ANY (...)) AND (((f-> 'c') ->> 't') = ...))
Filter: (CASE WHEN ... END IS NOT NULL)
Rows Removed by Filter: ...
-> Index Only Scan using ... (... rows=1 loops=...)
Index Cond: (a = b)
Heap Fetches: ...
--
Justin
James
--
James Hunter, Amazon Web Services (AWS)
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