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Add calcluation of bitmap storage capacity.
< be cleared when a heap tuple is expired. Another idea is to maintain < a bitmap of heap pages where all rows are visible to all backends, < and allow index lookups to reference that bitmap to avoid heap < lookups, perhaps the same bitmap we might add someday to determine < which heap pages need vacuuming. > be cleared when a heap tuple is expired. > > Another idea is to maintain a bitmap of heap pages where all rows > are visible to all backends, and allow index lookups to reference > that bitmap to avoid heap lookups, perhaps the same bitmap we might > add someday to determine which heap pages need vacuuming. Frequently > accessed bitmaps would have to be stored in shared memory. One 8k > page of bitmaps could track 512MB of heap pages.
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15
doc/TODO
15
doc/TODO
@ -2,7 +2,7 @@
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PostgreSQL TODO List
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====================
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Current maintainer: Bruce Momjian (pgman@candle.pha.pa.us)
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Last updated: Thu Dec 1 17:30:23 EST 2005
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Last updated: Thu Dec 1 23:28:03 EST 2005
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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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@ -862,11 +862,14 @@ Cache Usage
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the heap. One way to allow this is to set a bit on index tuples
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to indicate if a tuple is currently visible to all transactions
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when the first valid heap lookup happens. This bit would have to
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be cleared when a heap tuple is expired. Another idea is to maintain
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a bitmap of heap pages where all rows are visible to all backends,
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and allow index lookups to reference that bitmap to avoid heap
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lookups, perhaps the same bitmap we might add someday to determine
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which heap pages need vacuuming.
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be cleared when a heap tuple is expired.
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Another idea is to maintain a bitmap of heap pages where all rows
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are visible to all backends, and allow index lookups to reference
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that bitmap to avoid heap lookups, perhaps the same bitmap we might
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add someday to determine which heap pages need vacuuming. Frequently
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accessed bitmaps would have to be stored in shared memory. One 8k
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page of bitmaps could track 512MB of heap pages.
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* Consider automatic caching of queries at various levels:
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