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Switch memory contexts in ReinitializeParallelDSM.
- f1a6e622bd94 19 (unreleased) landed
- 57df5ab80497 18.2 landed
- 1d0fc2499ff2 17.8 landed
- 12c2f843cdda 16.12 landed
- bd2726d3e15f 15.16 landed
- 1d9f7fbba24c 14.21 landed
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Parallel query: Use TopTransactionContext for ReinitializeParallelDSM()
Jakub Wartak <jakub.wartak@enterprisedb.com> — 2025-12-08T09:07:25Z
Hi -hackers, we've got report of rare crash in EDB's PostgreSQL fork which revealed that the PostgreSQL's ReinitializeParallelDSM() allocates memory from wrong memory context (ExecutorState) instead of TopTransactionContext. Currently we do not have public reproducer for this in PG community version, however when using Parallel Query, initially both ParallelContext pcxt->worker and pcxt->worker[i].error_mqh are allocated from TopTransactionContext (and that's appears to be correct), but that happens only initially, because later on - where reuse of DSM/workers is in play and more data is involved / technically where ExecParlallelReinitalize()->ReinitializeParallelDSM() is involved - after some time, the pcxt->worker[i].error_mqh will end up being reinitialized from ExecutorState memory context and that's the bug. In layman terms it means that this ReinitializeParallelDSM() is usually used for Nested Loop with Gather (useful side note: but this can be easier triggered with enable_material = off as this reaches the ReinitializeParallelDSM() way faster ). Normally this is not causing problems, however this might be problematic when query is cancelled, as the ExecutorState might be pfreed depending on what is inside PG_CATCH(): in case of having SPI_finish() there, the ExecutorState will be pfreed, then the pcxt->workers[i].error_mqh-> might end up being accessed by the SIGINT handler itself later like this: AbortTransaction → DestroyParallelContext() which leads to use after free. The stack would be similiar to : longjmp -> AbortCurrentTransaction() -> AbortTransaction() -> AtEOXact_Parallel() -> DestroyParallelContext() -> shm_mq_detach(). SPI_finish() is just an example here where we have caught it (it's releasing ExecutorState). To sum up it occurs in the following conditions: 1. parallel query involved with nest loop/gather 2. ReinitializeParallelDSM() being used 3. query cancellation 4. PG_CATCH() pfreeing ExecutorState We have attached the patch. The issue is within shm_mq_attach(), but we want to protect the whole function just in case just like in InitializeParallelDSM. Thanks to Jeevan Chalke and Robert Haas for help while debugging this. -J.
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Re: Parallel query: Use TopTransactionContext for ReinitializeParallelDSM()
Jeevan Chalke <jeevan.chalke@enterprisedb.com> — 2025-12-10T08:02:55Z
Hi Jakub, Thanks for the patch. Although I was unable to reproduce the reported issue, a review of the code flow confirms that to maintain consistency with all other Parallel Query memory allocations, the context should be switched to TopTransactionContext. This change appears correct and serves as a necessary safeguard to prevent potential future race conditions. Thanks On Mon, Dec 8, 2025 at 2:37 PM Jakub Wartak <jakub.wartak@enterprisedb.com> wrote: > Hi -hackers, we've got report of rare crash in EDB's PostgreSQL fork > which revealed that the PostgreSQL's ReinitializeParallelDSM() > allocates memory from wrong memory context (ExecutorState) instead of > TopTransactionContext. > > Currently we do not have public reproducer for this in PG community > version, however when using Parallel Query, initially both > ParallelContext pcxt->worker and pcxt->worker[i].error_mqh are > allocated from TopTransactionContext (and that's appears to be > correct), but that happens only initially, because later on - where > reuse of DSM/workers is in play and more data is involved / > technically where > ExecParlallelReinitalize()->ReinitializeParallelDSM() is involved - > after some time, the pcxt->worker[i].error_mqh will end up being > reinitialized from ExecutorState memory context and that's the bug. In > layman terms it means that this ReinitializeParallelDSM() is usually > used for Nested Loop with Gather (useful side note: but this can be > easier triggered with enable_material = off as this reaches the > ReinitializeParallelDSM() way faster ). > > Normally this is not causing problems, however this might be > problematic when query is cancelled, as the ExecutorState might be > pfreed depending on what is inside PG_CATCH(): in case of having > SPI_finish() there, the ExecutorState will be pfreed, then the > pcxt->workers[i].error_mqh-> might end up being accessed by the SIGINT > handler itself later like this: AbortTransaction → > DestroyParallelContext() which leads to use after free. > > The stack would be similiar to : longjmp -> AbortCurrentTransaction() > -> AbortTransaction() -> AtEOXact_Parallel() -> > DestroyParallelContext() -> shm_mq_detach(). SPI_finish() is just an > example here where we have caught it (it's releasing ExecutorState). > > To sum up it occurs in the following conditions: > 1. parallel query involved with nest loop/gather > 2. ReinitializeParallelDSM() being used > 3. query cancellation > 4. PG_CATCH() pfreeing ExecutorState > > We have attached the patch. The issue is within shm_mq_attach(), but > we want to protect the whole function just in case just like in > InitializeParallelDSM. Thanks to Jeevan Chalke and Robert Haas for > help while debugging this. > > -J. > -- *Jeevan Chalke* *Principal Engineer, Engineering Manager* *Product Development* enterprisedb.com <https://www.enterprisedb.com>
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Re: Parallel query: Use TopTransactionContext for ReinitializeParallelDSM()
Robert Haas <robertmhaas@gmail.com> — 2025-12-16T17:32:22Z
On Wed, Dec 10, 2025 at 3:03 AM Jeevan Chalke <jeevan.chalke@enterprisedb.com> wrote: > Although I was unable to reproduce the reported issue, a review of the code flow confirms that to maintain consistency with all other Parallel Query memory allocations, the context should be switched to TopTransactionContext. This change appears correct and serves as a necessary safeguard to prevent potential future race conditions. Committed and back-patched. -- Robert Haas EDB: http://www.enterprisedb.com