Re: long-standing data loss bug in initial sync of logical replication - Mailing list pgsql-hackers
From | Shlok Kyal |
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Subject | Re: long-standing data loss bug in initial sync of logical replication |
Date | |
Msg-id | CANhcyEUjZ3+0Badk7hZHctzAWwCX3fhNDV3hTjvPhBbexJOLqA@mail.gmail.com Whole thread Raw |
In response to | Re: long-standing data loss bug in initial sync of logical replication (Masahiko Sawada <sawada.mshk@gmail.com>) |
Responses |
Re: long-standing data loss bug in initial sync of logical replication
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List | pgsql-hackers |
On Wed, 11 Dec 2024 at 12:37, Masahiko Sawada <sawada.mshk@gmail.com> wrote: > > On Tue, Oct 8, 2024 at 2:51 AM Shlok Kyal <shlok.kyal.oss@gmail.com> wrote: > > > > On Wed, 31 Jul 2024 at 03:27, Masahiko Sawada <sawada.mshk@gmail.com> wrote: > > > > > > On Wed, Jul 24, 2024 at 9:53 PM Amit Kapila <amit.kapila16@gmail.com> wrote: > > > > > > > > On Wed, Jul 17, 2024 at 5:25 PM vignesh C <vignesh21@gmail.com> wrote: > > > > > > > > > > On Wed, 17 Jul 2024 at 11:54, Amit Kapila <amit.kapila16@gmail.com> wrote: > > > > > > > > > > > > On Tue, Jul 16, 2024 at 6:54 PM vignesh C <vignesh21@gmail.com> wrote: > > > > > > > > > > > > BTW, I noticed that we don't take any table-level locks for Create > > > > > > Publication .. For ALL TABLES (and Drop Publication). Can that create > > > > > > a similar problem? I haven't tested so not sure but even if there is a > > > > > > problem for the Create case, it should lead to some ERROR like missing > > > > > > publication. > > > > > > > > > > I tested these scenarios, and as you expected, it throws an error for > > > > > the create publication case: > > > > > 2024-07-17 14:50:01.145 IST [481526] 481526 ERROR: could not receive > > > > > data from WAL stream: ERROR: publication "pub1" does not exist > > > > > CONTEXT: slot "sub1", output plugin "pgoutput", in the change > > > > > callback, associated LSN 0/1510CD8 > > > > > 2024-07-17 14:50:01.147 IST [481450] 481450 LOG: background worker > > > > > "logical replication apply worker" (PID 481526) exited with exit code > > > > > 1 > > > > > > > > > > The steps for this process are as follows: > > > > > 1) Create tables in both the publisher and subscriber. > > > > > 2) On the publisher: Create a replication slot. > > > > > 3) On the subscriber: Create a subscription using the slot created by > > > > > the publisher. > > > > > 4) On the publisher: > > > > > 4.a) Session 1: BEGIN; INSERT INTO T1; > > > > > 4.b) Session 2: CREATE PUBLICATION FOR ALL TABLES > > > > > 4.c) Session 1: COMMIT; > > > > > > > > > > Since we are throwing out a "publication does not exist" error, there > > > > > is no inconsistency issue here. > > > > > > > > > > However, an issue persists with DROP ALL TABLES publication, where > > > > > data continues to replicate even after the publication is dropped. > > > > > This happens because the open transaction consumes the invalidation, > > > > > causing the publications to be revalidated using old snapshot. As a > > > > > result, both the open transactions and the subsequent transactions are > > > > > getting replicated. > > > > > > > > > > We can reproduce this issue by following these steps in a logical > > > > > replication setup with an "ALL TABLES" publication: > > > > > On the publisher: > > > > > Session 1: BEGIN; INSERT INTO T1 VALUES (val1); > > > > > In another session on the publisher: > > > > > Session 2: DROP PUBLICATION > > > > > Back in Session 1 on the publisher: > > > > > COMMIT; > > > > > Finally, in Session 1 on the publisher: > > > > > INSERT INTO T1 VALUES (val2); > > > > > > > > > > Even after dropping the publication, both val1 and val2 are still > > > > > being replicated to the subscriber. This means that both the > > > > > in-progress concurrent transaction and the subsequent transactions are > > > > > being replicated. > > > > > > > > > > I don't think locking all tables is a viable solution in this case, as > > > > > it would require asking the user to refrain from performing any > > > > > operations on any of the tables in the database while creating a > > > > > publication. > > > > > > > > > > > > > Indeed, locking all tables in the database to prevent concurrent DMLs > > > > for this scenario also looks odd to me. The other alternative > > > > previously suggested by Andres is to distribute catalog modifying > > > > transactions to all concurrent in-progress transactions [1] but as > > > > mentioned this could add an overhead. One possibility to reduce > > > > overhead is that we selectively distribute invalidations for > > > > catalogs-related publications but I haven't analyzed the feasibility. > > > > > > > > We need more opinions to decide here, so let me summarize the problem > > > > and solutions discussed. As explained with an example in an email [1], > > > > the problem related to logical decoding is that it doesn't process > > > > invalidations corresponding to DDLs for the already in-progress > > > > transactions. We discussed preventing DMLs in the first place when > > > > concurrent DDLs like ALTER PUBLICATION ... ADD TABLE ... are in > > > > progress. The solution discussed was to acquire > > > > ShareUpdateExclusiveLock for all the tables being added via such > > > > commands. Further analysis revealed that the same handling is required > > > > for ALTER PUBLICATION ... ADD TABLES IN SCHEMA which means locking all > > > > the tables in the specified schemas. Then DROP PUBLICATION also seems > > > > to have similar symptoms which means in the worst case (where > > > > publication is for ALL TABLES) we have to lock all the tables in the > > > > database. We are not sure if that is good so the other alternative we > > > > can pursue is to distribute invalidations in logical decoding > > > > infrastructure [1] which has its downsides. > > > > > > > > Thoughts? > > > > > > Thank you for summarizing the problem and solutions! > > > > > > I think it's worth trying the idea of distributing invalidation > > > messages, and we will see if there could be overheads or any further > > > obstacles. IIUC this approach would resolve another issue we discussed > > > before too[1]. > > > > > > Regards, > > > > > > [1] https://www.postgresql.org/message-id/CAD21AoAenVqiMjpN-PvGHL1N9DWnHSq673bfgr6phmBUzx=kLQ@mail.gmail.com > > > > > > > Hi Sawada-san, > > > > I have tested the scenario shared by you on the thread [1]. And I > > confirm that the latest patch [2] fixes this issue. > > > > I confirmed that the proposed patch fixes these issues. I have one > question about the patch: > > In the main loop in SnapBuildDistributeSnapshotAndInval(), we have the > following code: > > /* > * If we don't have a base snapshot yet, there are no changes in this > * transaction which in turn implies we don't yet need a snapshot at > * all. We'll add a snapshot when the first change gets queued. > * > * NB: This works correctly even for subtransactions because > * ReorderBufferAssignChild() takes care to transfer the base snapshot > * to the top-level transaction, and while iterating the changequeue > * we'll get the change from the subtxn. > */ > if (!ReorderBufferXidHasBaseSnapshot(builder->reorder, txn->xid)) > continue; > > Is there any case where we need to distribute inval messages to > transactions that don't have the base snapshot yet but eventually need > the inval messages? > > Overall, with this idea, we distribute invalidation messages to all > concurrent decoded transactions. It could introduce performance > regressions by several causes. For example, we could end up > invalidating RelationSyncCache entries in more cases. While this is > addressed by your selectively cache invalidation patch, there is still > 5% regression. We might need to accept a certain amount of regressions > for making it correct but it would be better to figure out where these > regressions come from. Other than that, I think the performance > regression could happen due to the costs of distributing invalidation > messages. You've already observed there is 1~3% performance regression > in cases where we distribute a large amount of invalidation messages > to one concurrently decoded transaction[1]. I guess that the > selectively cache invalidation idea would not help this case. Also, I > think we might want to test other cases like where we distribute a > small amount of invalidation messages to many concurrently decoded > transactions. > Hi Sawada-san, I have done the performance testing for cases where we distribute a small amount of invalidation messages to many concurrently decoded transactions. Here are results: Concurrent Txn | Head (sec) | Patch (sec) | Degradation in % --------------------------------------------------------------------------------------------- 50 | 0.2627734 | 0.2654608 | 1.022706256 100 | 0.4801048 | 0.4869254 | 1.420648158 500 | 2.2170336 | 2.2438656 | 1.210265825 1000 | 4.4957402 | 4.5282574 | 0.723289126 2000 | 9.2013082 | 9.21164 | 0.112286207 The steps I followed is: 1. Initially logical replication is setup. 2. Then we start 'n' number of concurrent transactions. Each txn look like: BEGIN; Insert into t1 values(11); 3. Now we add two invalidation which will be distributed each transaction by running command: ALTER PUBLICATION regress_pub1 DROP TABLE t1 ALTER PUBLICATION regress_pub1 ADD TABLE t1 4. Then run an insert for each txn. It will build cache for relation in each txn. 5. Commit Each transaction. I have also attached the script. Thanks and Regards, Shlok Kyal
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