Re: Making "COPY partitioned_table FROM" faster - Mailing list pgsql-hackers
From | Simon Riggs |
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Subject | Re: Making "COPY partitioned_table FROM" faster |
Date | |
Msg-id | CANP8+jJk4vg1PXXBByX0s+HMQLHxo2ca8rKCwpJ0DaJOZkftDg@mail.gmail.com Whole thread Raw |
In response to | Re: Making "COPY partitioned_table FROM" faster (Melanie Plageman <melanieplageman@gmail.com>) |
Responses |
Re: Making "COPY partitioned_table FROM" faster
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List | pgsql-hackers |
On 24 July 2018 at 16:32, Melanie Plageman <melanieplageman@gmail.com> wrote: > > On Fri, Jul 20, 2018 at 7:57 AM, David Rowley <david.rowley@2ndquadrant.com> > wrote: >> One final note: I'm not entirely convinced we need this adaptive >> code, but it seems easy enough to rip it back out if it's more trouble >> than it's worth. But if the other option is a GUC, then I'd rather >> stick with the adaptive code, it's likely going to do much better than >> a GUC since it can change itself during the copy which will be useful >> when the stream contains a mix small and large sets of consecutive >> tuples which belong to the same partition. >> > Though the v2 numbers do look better, it doesn't complete alleviate the > slow-down in the worst case. Perhaps the GUC and the adaptive code are not > alternatives and could instead be used together. You could even make the > actual RECHECK_MULTI_INSERT_THRESHOLD the GUC. > However, I think that the decision as to whether or not it makes sense to do > the adaptive code without a GUC is really based on the average use case, to > which I can't really speak. > The counter-argument I see, however, is that it is not acceptable to have > completely un-optimized insertion of data into partition tables and that an > overwhelming flood of GUCs is undesirable. I don't see any need here for another GUC, nor even a command option. The user has already indicated their use case to us: We know that the common case for RANGE partitioned tables is to load into the one current partition. We also know that the partition might change as we load data, when the data loaded crosses the partition boundary, so we need this optimization to be adaptive. Not all data loads follow that rule, so we also need the adpative algorithm to shut off for those cases. We also know that the common case for HASH partitions is to load into all partitions at once, since hash is specifically designed to spread data out across partitions. It is almost never true that we would want to load one partition at a time, so it seems easy to turn the optimization off if we use this type of partitioning. Or better, we need work done to improve that case also, but that is outside the current scope of this patch. If we have multi-level partitions, if any of the levels includes a Hash, then turn it off. LIST partitions are less likely to have a clear pattern, so I would treat them like HASH and assume the data is not sorted by partition. So for this patch, just add an "if (RANGE)" test. -- Simon Riggs http://www.2ndQuadrant.com/ PostgreSQL Development, 24x7 Support, Remote DBA, Training & Services
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