Re: pgsql_fdw, FDW for PostgreSQL server - Mailing list pgsql-hackers
From | Shigeru HANADA |
---|---|
Subject | Re: pgsql_fdw, FDW for PostgreSQL server |
Date | |
Msg-id | 4F730349.6040000@gmail.com Whole thread Raw |
In response to | pgsql_fdw, FDW for PostgreSQL server (Shigeru Hanada <shigeru.hanada@gmail.com>) |
List | pgsql-hackers |
(2012/03/28 16:18), Albe Laurenz wrote: > I wrote: >>> How about getting # of rows estimate by executing EXPLAIN for >>> fully-fledged remote query (IOW, contains pushed-down WHERE clause), > and >>> estimate selectivity of local filter on the basis of the statistics >>> which are generated by FDW via do_analyze_rel() and FDW-specific >>> sampling function? In this design, we would be able to use quite >>> correct rows estimate because we can consider filtering stuffs done > on >>> each side separately, though it requires expensive remote EXPLAIN for >>> each possible path. >> >> That sounds nice. > > ... but it still suffers from the problems of local statistics > for remote tables I pointed out. I guess that you mean about these issues you wrote in earlier post, so I'd like to comment on them. > - You have an additional maintenance task if you want to keep > statistics for remote tables accurate. I understand that this may > get better in a future release. I'm not sure that's what you meant, but we need to execute remote ANALYZE before calling pgsql_fdw_analyze() to keep local statistics accurate. IMO DBAs are responsible to execute remote ANALYZE at appropriate timing, so pgsql_fdw_analyze (or handler function for ANALYZE) should just collect statistics from remote side. > - You depend on the structure of pg_statistic, which means a potential > incompatibility between server versions. You can add cases to > pgsql_fdw_analyze to cater for changes, but that is cumbersome and > will > only help for later PostgreSQL versions connecting to earlier ones. Indeed. Like pg_dump, pgsql_fdw should aware of different server version if we choose copying statistics. Difference of catalog structure is very easy to track and cope with, but if meanings of values or the way to calculate statistics are changed, pgsql_fdw would need very complex codes to convert values from different version. I don't know such example, but IMO we should assume that statistics are valid for only same version (at least major version). After all, I'd prefer collecting sample data by pgsql_fdw and leaving statistics generation to local backend. > - Planning and execution will change (improve, of course) between server > versions. The local planner may choose an inferior plan based on a > wrong assumption of how a certain query can be handled on the remote. Hm, I don't worry about detail of remote planning so much, because remote server would do its best for a query given by pgsql_fdw. Also local planner would do its best for given estimation (rows, width and costs). One concern is that remote cost factors might be different from local's, so FDW option which represents cost conversion coefficient (1.0 means that remote cost has same weight as local) might be useful. > - You have no statistics if the foreign table points to a view on the > remote system. ISTM that this would be enough reason to give up copying remote stats to local. We don't provide SELECT push-down nor GROUP BY push-down at present, so users would want to create views which contain function call in SELECT clauses. > I think that these shortcomings are not justified by the gain of > one client-server round trip less during planning. I'd prefer > if pgsql_fdw were not dependent on remote statistics stored in the > local database. I too prefer if pgsql_fdw doesn't fully depend on statistics of foreign data, but IMO having statistics of foreign data which were calculated in the way same as local data seems still useful for estimation about local filtering. Even if we have no statistics of foreign data on local side, still we would be able to create plans on the basis of default selectivity for each expression, as same as regular tables. Regards, -- Shigeru HANADA
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