location information in a separate WalHashLoc object rather than passing
around the various elements as separate variables.
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objecct is constructed, instead of recomputing it every time it is needed.
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are no OR operators in the WHERE clause, thus speeding up query planning
slightly.
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on a term of an index other than the left-most term, use the estimated number
of elements on the right-hand side of the IN operator to determine if makes
sense to use the IN operator with index looks, or to just do a scan over the
range of the table identified by the index terms to the left. Only do this
if sqlite_stat1 measurements are available as otherwise the performance
estimates will not be accurate enough to discern the best plan. Bias the
decision slightly in favor of using index lookups on each element of the IN
operator.
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that uses a recursive SQL function to delete content from a corrupt database
file while it is being queried.
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and an IN operator is used on a column other than the left-most column, then
if no rows match against the first IN value, check to make sure there exist
rows that match the columns to the right before continuing with the next IN
value.
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by the ".eqp full" logic. Fix for ticket [7be932dfa60a8a6b3b26bcf76].
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option) so that it silently ignores filenames that contain "../" in their
names. This prevents the "Zip Slip" attack.
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within an aggregate function and that are not part of the GROUP BY clause.
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unnecessary sqlite3BtreeMovetoUnpacked() calls when checking for an early
exit on IN-operator loops. Futher optimizations are likely possible here.
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that does not use min() or max() once per group, instead of once per row
visited.
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implementation is suboptimal because it always runs teh OP_NotFound. This
still needs to be enhanced to only do the OP_NotFound if no results have been
seen on the current loop.
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and OP_ReopenIdx opcodes. No code changes other than the addition of
an assert().
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