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Omit the Reinsert algorithm from RTree. This causes most benchmarks to run
faster, at the expense of having a slightly less dense and hence larger index (example: 33 entries/node versus 34 entries/node). FossilOrigin-Name: b3049a1d3dbdd63c471499c2f6b417655defe9ad90228e7cc722f5be877aae01
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@ -113,7 +113,7 @@ do_execsql_test rtreeA-1.1.1 {
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SELECT rtreecheck('main', 't1')
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} {{Node 1 missing from database
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Wrong number of entries in %_rowid table - expected 0, actual 500
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Wrong number of entries in %_parent table - expected 0, actual 23}}
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Wrong number of entries in %_parent table - expected 0, actual 25}}
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do_execsql_test rtreeA-1.2.0 { DROP TABLE t1_node } {}
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do_corruption_tests rtreeA-1.2 -error "database disk image is malformed" {
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@ -191,7 +191,7 @@ do_execsql_test rtreeA-3.3.3.4 {
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SELECT rtreecheck('main', 't1')
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} {{Rtree depth out of range (65535)
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Wrong number of entries in %_rowid table - expected 0, actual 499
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Wrong number of entries in %_parent table - expected 0, actual 23}}
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Wrong number of entries in %_parent table - expected 0, actual 25}}
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#-------------------------------------------------------------------------
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# Set the "number of entries" field on some nodes incorrectly.
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