Re: logical decoding : exceeded maxAllocatedDescs for .spill files
Kuntal Ghosh <kuntalghosh.2007@gmail.com>
From: Kuntal Ghosh <kuntalghosh.2007@gmail.com>
To: Amit Kapila <amit.kapila16@gmail.com>
Cc: Andres Freund <andres@anarazel.de>, Tom Lane <tgl@sss.pgh.pa.us>, Tomas Vondra <tomas.vondra@2ndquadrant.com>, Noah Misch <noah@leadboat.com>, Amit Khandekar <amitdkhan.pg@gmail.com>, Alvaro Herrera from 2ndQuadrant <alvherre@alvh.no-ip.org>, Juan José Santamaría Flecha <juanjo.santamaria@gmail.com>, PostgreSQL Hackers <pgsql-hackers@lists.postgresql.org>, Robert Haas <robertmhaas@gmail.com>, Thomas Munro <thomas.munro@gmail.com>
Date: 2020-02-14T10:35:59Z
Lists: pgsql-hackers
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When a TAP file has non-zero exit status, retain temporary directories.
- 048c7ccd7d6d 9.6.17 landed
- d8efc5900f7c 10.12 landed
- 887657d183fc 11.7 landed
- 78a26c3edd85 12.2 landed
- bf989aaf3561 13.0 landed
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Fix running out of file descriptors for spill files.
- 1ad47e8757bb 9.4.26 landed
- a6f4f407ada0 9.5.21 landed
- 27b5f48c79f7 10.12 landed
- 3e3a79735235 11.7 landed
- f8a6d8e71b17 12.2 landed
- d20703805383 13.0 landed
- ba5b4e506489 9.6.17 landed
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Track statistics for spilling of changes from ReorderBuffer.
- 9290ad198b15 13.0 cited
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Handle ReadFile() EOF correctly on Windows.
- 2189f49c420f 12.2 landed
- 6969deeb8d39 13.0 landed
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Add logical_decoding_work_mem to limit ReorderBuffer memory usage.
- cec2edfa7859 13.0 cited
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Generational memory allocator
- a4ccc1cef5a0 11.0 cited
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Support retaining data dirs on successful TAP tests
- 90627cf98a8e 11.0 cited
On Sun, Feb 9, 2020 at 9:18 AM Amit Kapila <amit.kapila16@gmail.com> wrote: > > It seems for this we formed a cache of max_cached_tuplebufs number of > objects and we don't need to allocate more than that number of tuples > of size MaxHeapTupleSize because we will anyway return that memory to > aset.c. > In the approach suggested by Amit (approach 1), once we allocate the max_cached_tuplebufs number of MaxHeapTupleSize, we can use the actual length of the tuple for allocating memory. So, if we have m subtransactions, the memory usage at worst case will be, (max_cached_tuplebufs * MaxHeapTupleSize) cache + (Maximum changes in a subtransaction before spilling) * m * (Actual tuple size) = 64 MB cache + 4095 * m * (Actual tuple size) In the approach suggested by Andres (approach 2), we're going to reduce the size of a cached tuple to 1024 bytes. So, if we have m sub-transactions, the memory usage at worst case will be, (max_cached_tuplebufs * 1024 bytes) cache + (Maximum changes in a subtransaction before spilling) * m * 1024 bytes = 8 MB cache + 4095 * m * 1024 (considering the size of the tuple is less than 1024 bytes) Once the cache is filled, for 1000 sub-transactions operating on tuple size, say 100 bytes, approach 1 will allocate 390 MB of memory (approx.) whereas approach 2 will allocate 4GB of memory approximately. If there is no obvious error that I'm missing, I think we should implement the first approach. -- Thanks & Regards, Kuntal Ghosh EnterpriseDB: http://www.enterprisedb.com