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d1001a78ce
Avoid eating quite so much memory for large inheritance trees, by reclaiming the space used by temporary copies of the original parsetree and range table, as well as the workspace needed during planning. The cost is needing to copy the finished plan trees out of the child memory context. Although this looks like it ought to slow things down, my testing shows it actually is faster, apparently because fewer interactions with malloc() are needed and/or we can do the work within a more readily cacheable amount of memory. That result might be platform-dependent, but I'll take it. Per a gripe from John Papandriopoulos, in which it was pointed out that the memory consumption actually grew as O(N^2) for sufficiently many child tables, since we were creating N copies of the N-element range table. |
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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. Changes between all PostgreSQL releases are recorded in the file HISTORY. 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/.