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< * Have EXPLAIN ANALYZE highlight poor optimizer estimates > * Have EXPLAIN ANALYZE issue NOTICE messages when the estimated and > actual row counts differ by a specified percentage
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doc/TODO
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doc/TODO
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PostgreSQL TODO List
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====================
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Current maintainer: Bruce Momjian (bruce@momjian.us)
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Last updated: Tue Dec 12 15:34:25 EST 2006
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Last updated: Tue Dec 12 17:31:12 EST 2006
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The most recent version of this document can be viewed at
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http://www.postgresql.org/docs/faqs.TODO.html.
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@ -1187,7 +1187,8 @@ Optimizer / Executor
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* Precompile SQL functions to avoid overhead
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* Create utility to compute accurate random_page_cost value
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* Improve ability to display optimizer analysis using OPTIMIZER_DEBUG
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* Have EXPLAIN ANALYZE highlight poor optimizer estimates
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* Have EXPLAIN ANALYZE issue NOTICE messages when the estimated and
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actual row counts differ by a specified percentage
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* Consider using hash buckets to do DISTINCT, rather than sorting
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This would be beneficial when there are few distinct values. This is
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<body bgcolor="#FFFFFF" text="#000000" link="#FF0000" vlink="#A00000" alink="#0000FF">
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<h1><a name="section_1">PostgreSQL TODO List</a></h1>
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<p>Current maintainer: Bruce Momjian (<a href="mailto:bruce@momjian.us">bruce@momjian.us</a>)<br/>
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Last updated: Tue Dec 12 15:34:25 EST 2006
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Last updated: Tue Dec 12 17:31:12 EST 2006
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</p>
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<p>The most recent version of this document can be viewed at<br/>
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<a href="http://www.postgresql.org/docs/faqs.TODO.html">http://www.postgresql.org/docs/faqs.TODO.html</a>.
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</li><li>Precompile SQL functions to avoid overhead
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</li><li>Create utility to compute accurate random_page_cost value
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</li><li>Improve ability to display optimizer analysis using OPTIMIZER_DEBUG
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</li><li>Have EXPLAIN ANALYZE highlight poor optimizer estimates
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</li><li>Have EXPLAIN ANALYZE issue NOTICE messages when the estimated and
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actual row counts differ by a specified percentage
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</li><li>Consider using hash buckets to do DISTINCT, rather than sorting
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<p> This would be beneficial when there are few distinct values. This is
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already used by GROUP BY.
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