Re: GIN improvements part 1: additional information - Mailing list pgsql-hackers
From | Alexander Korotkov |
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Subject | Re: GIN improvements part 1: additional information |
Date | |
Msg-id | CAPpHfdtk+1s3EYE5LZFQr8Xb2Ms_apt67Dj0jb3uAyZj9m34XA@mail.gmail.com Whole thread Raw |
In response to | Re: GIN improvements part 1: additional information (Heikki Linnakangas <hlinnakangas@vmware.com>) |
Responses |
Re: GIN improvements part 1: additional information
|
List | pgsql-hackers |
On Wed, Jan 22, 2014 at 1:21 AM, Heikki Linnakangas <hlinnakangas@vmware.com> wrote:
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With best regards,
Alexander Korotkov.
Ok, this turned out to be a much bigger change than I thought...On 01/21/2014 11:35 AM, Heikki Linnakangas wrote:On 01/21/2014 04:02 AM, Tomas Vondra wrote:On 20.1.2014 19:30, Heikki Linnakangas wrote:
Attached is a yet another version, with more bugs fixed and more
comments added and updated. I would appreciate some heavy-testing of
this patch now. If you could re-run the tests you've been using,
that could be great. I've tested the WAL replay by replicating GIN
operations over streaming replication. That doesn't guarantee it's
correct, but it's a good smoke test.
I gave it a try - the OOM error seems to be gone, but now get this
PANIC: cannot insert duplicate items to GIN index page
This only happens when building the index incrementally (i.e. using a
sequence of INSERT statements into a table with GIN index). When I
create a new index on a table (already containing the same dataset) it
works just fine.
Also, I tried to reproduce the issue by running a simple plpgsql loop
(instead of a complex python script):
DO LANGUAGE plpgsql $$
DECLARE
r tsvector;
BEGIN
FOR r IN SELECT body_tsvector FROM data_table LOOP
INSERT INTO idx_table (body_tsvector) VALUES (r);
END LOOP;
END$$;
where data_table is the table with imported data (the same data I
mentioned in the post about OOM errors), and index_table is an empty
table with a GIN index. And indeed it fails, but only if I run the block
in multiple sessions in parallel.
Oh, I see what's going on. I had assumed that there cannot be duplicate
insertions into the posting tree, but that's dead wrong. The fast
insertion mechanism depends on a duplicate insertion to do nothing.
In principle, it's not difficult to eliminate duplicates. However, to detect a duplicate, you have to check if the item is present in the uncompressed items array, or in the compressed lists. That requires decoding the segment where it should be.
But if we decode the segment, what's the purpose of the uncompressed items array? Its purpose was to speed up insertions, by buffering them so that we don't need to decode and re-encode the page/segment on every inserted item. But if we're paying the price of decoding it anyway, we might as well include the new item and re-encode the segment. The uncompressed area saves some effort in WAL-logging, as the record of inserting an entry into the uncompressed area is much smaller than that of re-encoding part of the page, but if that really is a concern, we could track more carefully which parts of the page is modified, and only WAL-log the required parts. And hopefully, the fast-update lists buffer inserts so that you insert many items at a time to the posting tree, and the price of re-encoding is only paid once.
So, now that I think about this once more, I don't think the uncompressed area in every leaf page is a good idea.
I didn't get why insertion of duplicate TIDs to uncompressed area and eliminate them of re-encoding? It would be somewhat more work during updates, more work during scan, more WAL records. But is it really significant for real-life workloads?
I refactored the way the recompression routine works again. It is now more clearly a multi-step process. First, the existing page is "disassembled" into an in-memory struct, which is a linked list of all the segments. In-memory each segment can be represented as an array of item pointers, or in the compressed format. In the next phase, all the new items are added to the segments where they belong. This naturally can lead to overly large segments; in the third phase, the items are redistributed among the segments, and compressed back to the compressed format. Finally, the finished segments are written back to the page, or pages if it had to be split.
The same subroutines to disassemble and recompress are also used in vacuum.
Attached is what I've got now. This is again quite heavily-changed from the previous version - sorry for repeatedly rewriting this. I'll continue testing and re-reviewing this tomorrow.
Let's clarify where we are. We had quite debugged and tested version with hard-wired varbyte encoding. Now we're reimplementing and debugging segmented version of varbyte encoding in a hope that one day we can easily replace it with something better that meets our restrictions (but we didn't find it already). Is it right?
With best regards,
Alexander Korotkov.
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