Re: Parallel copy
Tomas Vondra <tomas.vondra@2ndquadrant.com>
From: Tomas Vondra <tomas.vondra@2ndquadrant.com>
To: Amit Kapila <amit.kapila16@gmail.com>
Cc: David Fetter <david@fetter.org>, PostgreSQL Hackers <pgsql-hackers@lists.postgresql.org>
Date: 2020-02-20T13:36:02Z
Lists: pgsql-hackers
Commits
Same data as JSON:
GET /api/v1/messages/:b64id/commits
the thread's linked commits as JSON, with link sources.
API reference →
-
Allow WaitLatch() to be used without a latch.
- 733fa9aa51c5 14.0 cited
-
Add %P to log_line_prefix for parallel group leader
- b8fdee7d0ca8 14.0 cited
-
Include replication origins in SQL functions for commit timestamp
- b1e48bbe64a4 14.0 cited
-
Avoid useless buffer allocations during binary COPY FROM.
- cd22d3cdb9bd 14.0 cited
On Thu, Feb 20, 2020 at 04:11:39PM +0530, Amit Kapila wrote: >On Thu, Feb 20, 2020 at 5:12 AM David Fetter <david@fetter.org> wrote: >> >> On Fri, Feb 14, 2020 at 01:41:54PM +0530, Amit Kapila wrote: >> > This work is to parallelize the copy command and in particular "Copy >> > <table_name> from 'filename' Where <condition>;" command. >> >> Apropos of the initial parsing issue generally, there's an interesting >> approach taken here: https://github.com/robertdavidgraham/wc2 >> > >Thanks for sharing. I might be missing something, but I can't figure >out how this can help here. Does this in some way help to allow >multiple workers to read and tokenize the chunks? > I think the wc2 is showing that maybe instead of parallelizing the parsing, we might instead try using a different tokenizer/parser and make the implementation more efficient instead of just throwing more CPUs on it. I don't know if our code is similar to what wc does, maytbe parsing csv is more complicated than what wc does. regards -- Tomas Vondra http://www.2ndQuadrant.com PostgreSQL Development, 24x7 Support, Remote DBA, Training & Services