3c93a60f60
A report from Andy Colson showed that gincostestimate() was not being nearly paranoid enough about whether to believe the statistics it finds in the index metapage. The problem is that the metapage stats (other than the pending-pages count) are only updated by VACUUM, and in the worst case could still reflect the index's original empty state even when it has grown to many entries. We attempted to deal with that by scaling up the stats to match the current index size, but if nEntries is zero then scaling it up still gives zero. Moreover, the proportion of pages that are entry pages vs. data pages vs. pending pages is unlikely to be estimated very well by scaling if the index is now orders of magnitude larger than before. We can improve matters by expanding the use of the rule-of-thumb estimates I introduced in commit 7fb008c5ee59b040: if the index has grown by more than a cutoff amount (here set at 4X growth) since VACUUM, then use the rule-of-thumb numbers instead of scaling. This might not be exactly right but it seems much less likely to produce insane estimates. I also improved both the scaling estimate and the rule-of-thumb estimate to account for numPendingPages, since it's reasonable to expect that that is accurate in any case, and certainly pages that are in the pending list are not either entry or data pages. As a somewhat separate issue, adjust the estimation equations that are concerned with extra fetches for partial-match searches. These equations suppose that a fraction partialEntries / numEntries of the entry and data pages will be visited as a consequence of a partial-match search. Now, it's physically impossible for that fraction to exceed one, but our estimate of partialEntries is mostly bunk, and our estimate of numEntries isn't exactly gospel either, so we could arrive at a silly value. In the example presented by Andy we were coming out with a value of 100, leading to insane cost estimates. Clamp the fraction to one to avoid that. Like the previous patch, back-patch to all supported branches; this problem can be demonstrated in one form or another in all of them. |
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README
PostgreSQL Database Management System ===================================== This directory contains the source code distribution of the PostgreSQL database management system. PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions. This distribution also contains C language bindings. PostgreSQL has many language interfaces, many of which are listed here: http://www.postgresql.org/download See the file INSTALL for instructions on how to build and install PostgreSQL. That file also lists supported operating systems and hardware platforms and contains information regarding any other software packages that are required to build or run the PostgreSQL system. Copyright and license information can be found in the file COPYRIGHT. A comprehensive documentation set is included in this distribution; it can be read as described in the installation instructions. The latest version of this software may be obtained at http://www.postgresql.org/download/. For more information look at our web site located at http://www.postgresql.org/.