postgres

Commit Graph

Author	SHA1	Message	Date
Amit Kapila	cec2edfa78	Add logical_decoding_work_mem to limit ReorderBuffer memory usage. Instead of deciding to serialize a transaction merely based on the number of changes in that xact (toplevel or subxact), this makes the decisions based on amount of memory consumed by the changes. The memory limit is defined by a new logical_decoding_work_mem GUC, so for example we can do this SET logical_decoding_work_mem = '128kB' to reduce the memory usage of walsenders or set the higher value to reduce disk writes. The minimum value is 64kB. When adding a change to a transaction, we account for the size in two places. Firstly, in the ReorderBuffer, which is then used to decide if we reached the total memory limit. And secondly in the transaction the change belongs to, so that we can pick the largest transaction to evict (and serialize to disk). We still use max_changes_in_memory when loading changes serialized to disk. The trouble is we can't use the memory limit directly as there might be multiple subxact serialized, we need to read all of them but we don't know how many are there (and which subxact to read first). We do not serialize the ReorderBufferTXN entries, so if there is a transaction with many subxacts, most memory may be in this type of objects. Those records are not included in the memory accounting. We also do not account for INTERNAL_TUPLECID changes, which are kept in a separate list and not evicted from memory. Transactions with many CTID changes may consume significant amounts of memory, but we can't really do much about that. The current eviction algorithm is very simple - the transaction is picked merely by size, while it might be useful to also consider age (LSN) of the changes for example. With the new Generational memory allocator, evicting the oldest changes would make it more likely the memory gets actually pfreed. The logical_decoding_work_mem can be set in postgresql.conf, in which case it serves as the default for all publishers on that instance. Author: Tomas Vondra, with changes by Dilip Kumar and Amit Kapila Reviewed-by: Dilip Kumar and Amit Kapila Tested-By: Vignesh C Discussion: https://postgr.es/m/688b0b7f-2f6c-d827-c27b-216a8e3ea700@2ndquadrant.com	6 years ago
Robert Haas	b89e151054	Introduce logical decoding. This feature, building on previous commits, allows the write-ahead log stream to be decoded into a series of logical changes; that is, inserts, updates, and deletes and the transactions which contain them. It is capable of handling decoding even across changes to the schema of the effected tables. The output format is controlled by a so-called "output plugin"; an example is included. To make use of this in a real replication system, the output plugin will need to be modified to produce output in the format appropriate to that system, and to perform filtering. Currently, information can be extracted from the logical decoding system only via SQL; future commits will add the ability to stream changes via walsender. Andres Freund, with review and other contributions from many other people, including Álvaro Herrera, Abhijit Menon-Sen, Peter Gheogegan, Kevin Grittner, Robert Haas, Heikki Linnakangas, Fujii Masao, Abhijit Menon-Sen, Michael Paquier, Simon Riggs, Craig Ringer, and Steve Singer.	12 years ago

Author

SHA1

Message

Date

Amit Kapila

cec2edfa78

Add logical_decoding_work_mem to limit ReorderBuffer memory usage.

Instead of deciding to serialize a transaction merely based on the
number of changes in that xact (toplevel or subxact), this makes
the decisions based on amount of memory consumed by the changes.

The memory limit is defined by a new logical_decoding_work_mem GUC,
so for example we can do this

    SET logical_decoding_work_mem = '128kB'

to reduce the memory usage of walsenders or set the higher value to
reduce disk writes. The minimum value is 64kB.

When adding a change to a transaction, we account for the size in
two places. Firstly, in the ReorderBuffer, which is then used to
decide if we reached the total memory limit. And secondly in the
transaction the change belongs to, so that we can pick the largest
transaction to evict (and serialize to disk).

We still use max_changes_in_memory when loading changes serialized
to disk. The trouble is we can't use the memory limit directly as
there might be multiple subxact serialized, we need to read all of
them but we don't know how many are there (and which subxact to
read first).

We do not serialize the ReorderBufferTXN entries, so if there is a
transaction with many subxacts, most memory may be in this type of
objects. Those records are not included in the memory accounting.

We also do not account for INTERNAL_TUPLECID changes, which are
kept in a separate list and not evicted from memory. Transactions
with many CTID changes may consume significant amounts of memory,
but we can't really do much about that.

The current eviction algorithm is very simple - the transaction is
picked merely by size, while it might be useful to also consider age
(LSN) of the changes for example. With the new Generational memory
allocator, evicting the oldest changes would make it more likely
the memory gets actually pfreed.

The logical_decoding_work_mem can be set in postgresql.conf, in which
case it serves as the default for all publishers on that instance.

Author: Tomas Vondra, with changes by Dilip Kumar and Amit Kapila
Reviewed-by: Dilip Kumar and Amit Kapila
Tested-By: Vignesh C
Discussion: https://postgr.es/m/688b0b7f-2f6c-d827-c27b-216a8e3ea700@2ndquadrant.com

6 years ago

Robert Haas

b89e151054

Introduce logical decoding.

This feature, building on previous commits, allows the write-ahead log
stream to be decoded into a series of logical changes; that is,
inserts, updates, and deletes and the transactions which contain them.
It is capable of handling decoding even across changes to the schema
of the effected tables.  The output format is controlled by a
so-called "output plugin"; an example is included.  To make use of
this in a real replication system, the output plugin will need to be
modified to produce output in the format appropriate to that system,
and to perform filtering.

Currently, information can be extracted from the logical decoding
system only via SQL; future commits will add the ability to stream
changes via walsender.

Andres Freund, with review and other contributions from many other
people, including Álvaro Herrera, Abhijit Menon-Sen, Peter Gheogegan,
Kevin Grittner, Robert Haas, Heikki Linnakangas, Fujii Masao, Abhijit
Menon-Sen, Michael Paquier, Simon Riggs, Craig Ringer, and Steve
Singer.

12 years ago

2 Commits (7684b6fbed3a0770a0d8fdcbb5cf8b61394de691)