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Allow GiST distance function to return merely a lower-bound.
The distance function can now set *recheck = false, like index quals. The executor will then re-check the ORDER BY expressions, and use a queue to reorder the results on the fly. This makes it possible to do kNN-searches on polygons and circles, which don't store the exact value in the index, but just a bounding box. Alexander Korotkov and me
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@ -30,10 +30,10 @@
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* The index tuple might represent either a heap tuple or a lower index page,
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* depending on whether the containing page is a leaf page or not.
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*
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* On success return for a heap tuple, *recheck_p is set to indicate
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* whether recheck is needed. We recheck if any of the consistent() functions
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* request it. recheck is not interesting when examining a non-leaf entry,
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* since we must visit the lower index page if there's any doubt.
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* On success return for a heap tuple, *recheck_p is set to indicate whether
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* recheck is needed. We recheck if any of the consistent() or distance()
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* functions request it. recheck is not interesting when examining a non-leaf
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* entry, since we must visit the lower index page if there's any doubt.
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*
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* If we are doing an ordered scan, so->distances[] is filled with distance
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* data from the distance() functions before returning success.
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@ -176,6 +176,7 @@ gistindex_keytest(IndexScanDesc scan,
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else
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{
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Datum dist;
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bool recheck;
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GISTENTRY de;
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gistdentryinit(giststate, key->sk_attno - 1, &de,
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@ -192,16 +193,21 @@ gistindex_keytest(IndexScanDesc scan,
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* always be zero, but might as well pass it for possible future
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* use.)
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*
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* Note that Distance functions don't get a recheck argument. We
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* can't tolerate lossy distance calculations on leaf tuples;
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* there is no opportunity to re-sort the tuples afterwards.
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* Distance functions get a recheck argument as well. In this
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* case the returned distance is the lower bound of distance
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* and needs to be rechecked. We return single recheck flag
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* which means that both quals and distances are to be
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* rechecked.
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*/
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dist = FunctionCall4Coll(&key->sk_func,
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dist = FunctionCall5Coll(&key->sk_func,
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key->sk_collation,
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PointerGetDatum(&de),
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key->sk_argument,
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Int32GetDatum(key->sk_strategy),
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ObjectIdGetDatum(key->sk_subtype));
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ObjectIdGetDatum(key->sk_subtype),
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PointerGetDatum(&recheck));
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*recheck_p |= recheck;
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*distance_p = DatumGetFloat8(dist);
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}
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@ -434,6 +440,7 @@ getNextNearest(IndexScanDesc scan)
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{
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GISTScanOpaque so = (GISTScanOpaque) scan->opaque;
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bool res = false;
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int i;
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if (scan->xs_itup)
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{
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@ -454,6 +461,11 @@ getNextNearest(IndexScanDesc scan)
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/* found a heap item at currently minimal distance */
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scan->xs_ctup.t_self = item->data.heap.heapPtr;
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scan->xs_recheck = item->data.heap.recheck;
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for (i = 0; i < scan->numberOfOrderBys; i++)
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{
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scan->xs_orderbyvals[i] = Float8GetDatum(item->distances[i]);
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scan->xs_orderbynulls[i] = false;
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}
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/* in an index-only scan, also return the reconstructed tuple. */
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if (scan->xs_want_itup)
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