In some cases, MySQL handles a query differently when you are
using LIMIT
and not using
row_countHAVING:
If you are selecting only a few rows with
LIMIT, MySQL uses indexes in some cases
when normally it would prefer to do a full table scan.
If you use LIMIT
with
row_countORDER BY, MySQL ends the sorting as
soon as it has found the first
row_count rows of the sorted
result, rather than sorting the entire result. If ordering
is done by using an index, this is very fast. If a
filesort must be done, all rows that match the query
without the LIMIT clause must be
selected, and most or all of them must be sorted, before
it can be ascertained that the first
row_count rows have been found.
In either case, after the initial rows have been found,
there is no need to sort any remainder of the result set,
and MySQL does not do so.
When combining LIMIT
with
row_countDISTINCT, MySQL stops as soon as it
finds row_count unique rows.
In some cases, a GROUP BY can be
resolved by reading the key in order (or doing a sort on
the key) and then calculating summaries until the key
value changes. In this case, LIMIT
does not
calculate any unnecessary row_countGROUP BY
values.
As soon as MySQL has sent the required number of rows to
the client, it aborts the query unless you are using
SQL_CALC_FOUND_ROWS.
LIMIT 0 quickly returns an empty set.
This can be useful for checking the validity of a query.
When using one of the MySQL APIs, it can also be employed
for obtaining the types of the result columns. (This trick
does not work in the MySQL Monitor (the
mysql program), which merely displays
Empty set in such cases; you should
instead use SHOW COLUMNS or
DESCRIBE for this purpose.)
When the server uses temporary tables to resolve the
query, it uses the LIMIT
clause to
calculate how much space is required.
row_count