Re: now() vs transaction_timestamp() - Mailing list pgsql-hackers

From Amit Kapila
Subject Re: now() vs transaction_timestamp()
Date
Msg-id CAA4eK1LOQs6mBUHi7dttD_cy3Rq4K7inQR1rhzKv_DGGvYHXVQ@mail.gmail.com
Whole thread Raw
In response to Re: now() vs transaction_timestamp()  (Tom Lane <tgl@sss.pgh.pa.us>)
Responses Re: now() vs transaction_timestamp()  (Tom Lane <tgl@sss.pgh.pa.us>)
Re: now() vs transaction_timestamp()  (Konstantin Knizhnik <k.knizhnik@postgrespro.ru>)
List pgsql-hackers
On Sat, Oct 6, 2018 at 9:40 PM Tom Lane <tgl@sss.pgh.pa.us> wrote:
>
> Konstantin Knizhnik <k.knizhnik@postgrespro.ru> writes:
> > On 06.10.2018 00:25, Tom Lane wrote:
> >> So maybe the right answer is to change the parallel mode infrastructure
> >> so it transmits xactStartTimestamp, making transaction_timestamp()
> >> retroactively safe, and then in HEAD only we could re-mark now() as
> >> safe.  We might as well do the same for statement_timestamp as well.
>
> > Attached please find very small patch fixing the problem (propagating
> > transaction and statement timestamps to workers).
>
> That's a bit too small ;-) ... one demonstrable problem with it is
> that the parallel worker will report the wrong xactStartTimestamp
> to pgstat_report_xact_timestamp(), since you aren't jamming the
> transmitted value in soon enough.  Also, I found that ParallelWorkerMain
> executes at least two transactions before it ever gets to the "main"
> transaction that does real work, and I didn't much care for the fact
> that those were running with worker-local values of xactStartTimestamp
> and stmtStartTimestamp.  So I rearranged things a bit to ensure that
> parallel workers wouldn't generate their own values for either
> timestamp, and pushed it.
>

Currently, we serialize the other transaction related stuff via
PARALLEL_KEY_TRANSACTION_STATE.   However, this patch has serialized
xact_ts via PARALLEL_KEY_FIXED which appears okay, but I think it
would have been easier for future readers of the code if all the
similar state variables have been serialized by using the same key.

-- 
With Regards,
Amit Kapila.
EnterpriseDB: http://www.enterprisedb.com


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