Re: PARALLEL CTAS - Mailing list pgsql-sql
| From | Steve Midgley |
|---|---|
| Subject | Re: PARALLEL CTAS |
| Date | |
| Msg-id | CAJexoSLz2dvbVeJHbFnYNTCPbA5qLNrs4W0nPQL1dsPV2nG1xg@mail.gmail.com Whole thread Raw |
| In response to | Re: PARALLEL CTAS (Shane Borden <sborden76@gmail.com>) |
| Responses |
Re: PARALLEL CTAS
|
| List | pgsql-sql |
On Mon, Dec 12, 2022 at 9:36 AM Shane Borden <sborden76@gmail.com> wrote:
I saw this as an option. Let’s say you have a million row table. If you copy from STDIN, do you have to spool the source table to a local file first? Looking to replace a CTAS thats doing this all within SQL statements now.On Dec 12, 2022, at 12:25 PM, Rob Sargent <robjsargent@gmail.com> wrote:On 12/12/22 10:13, Shane Borden wrote:The issue is there are certain performance benefits to be had by doing parallel CTAS operations and when converting from Oracle to PostgreSQL switching to a “COPY” operation isn’t feasible.Today I suspect you're left with something like the following:
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Thanks,
- CTAS from source where 1=2 (i.e. table definition via select semantics)
- copy from stdin (filled with intended CTAS select)
I'm not at all familiar with Oracle / CTAS (fair warning). But I did spend some time, years ago, building a fast import using COPY/STDIN in Postgres awhile back. I copied that code into a Ruby language gist demonstrating the core concept recently.
The key idea, IMO, is to use an intermediate language like Ruby to manage the "spooling" from the source file to STDIN. That system could presumably fork processes to have more than one COPY from the file going at a time (and coordinate each thread to access different rows of the source file).
However, my experience was that if you want the absolutely fastest import, you should copy the source file to a fast disk/array on the Postgres server itself, and then run the COPY command pointing to that file locally, not piping from STDIN over a network connection. Postgres, at least in my testing, maxes I/O on a single COPY command pretty heartily - so much so that you might find performance otherwise becomes a problem, esp if your DBs are on that disk/array. IIRC, I was seeing millions of rows loaded per second on a high performing Postgres server, using this method. Also, IIRC, I removed the indexes from the table, again to max throughput, and then added them back after the COPY completed (not sure if modern Postgres COPY needs that - this was years ago).
I think total time to completion was also faster, as the index rebuilds were faster after the fact, than done during the loading (again I'm foggy so maybe inaccurate - this was years ago), but I was loading into a blank table -- rebuilding already constructed indexes might have an overwhelming cost.
If you have to do a network based COPY from STDIN, then my gist above will hopefully show the way - and I wouldn't be surprised if running multiple of these simultaneously gets better performance than a single COPY. At that point, you'll just be fine tuning to max saturation on the network bandwidth - not the max capability of the postgres server, which the local disk COPY does.
Hopefully this input is relevant - please ignore if I'm missing your goal entirely!
Best,
Steve