I think I came up with a better way to search through some dates. It would use a functional index. I am trying to see if any of some appointments fall between two dates.
To explain this, think of a 16 day long year, represented by the binary bits in two bytes of a bit string
the_table rows: year, date_mask, appointment_title
int, bit(16), text
2004, B'11111000011110000'::bit(16), 'appointment_title'::text
Day 1 is on the left, day 16 is on the right. Say I wanted to find appointments in the year 2004 that happened between day 2 and day 9. One way that would find them is to search for all records like above that produced a non zero result when the day mask was ANDed against B'0111111110000000' and year = 2004:
SELECT appointment FROM the_table WHERE 0 != (date_mask && B'0111111110000000') AND year = 2004;
. This compares 9 dates in one operation, VERY fast. Except that it will not use an index - comparing dates alone would, even though there would be 16 times more rows to search, it'd be faster.
However, if I make two indexes, one on the standard field value, B'1111000011110000',
CREATE INDEX norm_date_mask ON the_table(date_mask);
and the other on the bit reversed value, B'00001111000011110',
CREATE INDEX flipped_date_mask ON flip_bits(the_table(date_mask));
now I can eliminate all those outside of the date ranges in another, indexed way like so.
date_range = B'0111111110000000'; flipped_date_range = flip_bits( B'0111111110000000');
the query looks like this:
SELECT appointment FROM the_table WHERE date_mask < date_range AND flipped_date < flip_bits(the_table(date_mask));
Now, I believe indexes are used for BOTH comparisons, and it will be a indexed, fast query, not a total search of the whole table. Plus, with a 365/6 day sized date mask, 365/6 dates are searched in two operations.
If I needed SPECIFIC dates only, I could do the above search, and then add another AND condition that did the original AND against a smaller set.
I will experiment with this,but I'm pretty sure that I'm right.
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