Grammar fix.

B-Tree explanation fix (from Peter Zaitsev).
parent f73c1639
...@@ -8123,7 +8123,7 @@ on all ISAM tables. ...@@ -8123,7 +8123,7 @@ on all ISAM tables.
@item @item
Ensure that you don't have any MySQL clients that uses shared libraries Ensure that you don't have any MySQL clients that uses shared libraries
(like the perl Msql-Mysql-modules). If you have, you should recompile (like the perl Msql-Mysql-modules). If you have, you should recompile
them as structures used in libmysqlclient.so has changed. them as structures used in libmysqlclient.so have changed.
@end itemize @end itemize
MySQL 4.0 will work even if you don't do the above, but you will not be MySQL 4.0 will work even if you don't do the above, but you will not be
...@@ -25640,11 +25640,11 @@ where to place the new index and normally 2 seeks to update the index ...@@ -25640,11 +25640,11 @@ where to place the new index and normally 2 seeks to update the index
and write the row. and write the row.
Note that the above doesn't mean that your application will slowly Note that the above doesn't mean that your application will slowly
degenerate by N log N! As long as everything is cached by the OS or SQL degenerate by log N! As long as everything is cached by the OS or SQL
server things will only go marginally slower while the table gets server things will only go marginally slower while the table gets
bigger. After the data gets too big to be cached, things will start to bigger. After the data gets too big to be cached, things will start to
go much slower until your applications is only bound by disk-seeks go much slower until your applications is only bound by disk-seeks
(which increase by N log N). To avoid this, increase the index cache as (which increase by log N). To avoid this, increase the index cache as
the data grows. @xref{Server parameters}. the data grows. @xref{Server parameters}.
...@@ -26095,7 +26095,7 @@ where the numbers are somewhat proportional to the overall time. This ...@@ -26095,7 +26095,7 @@ where the numbers are somewhat proportional to the overall time. This
does not take into consideration the initial overhead to open tables does not take into consideration the initial overhead to open tables
(which is done once for each concurrently running query). (which is done once for each concurrently running query).
The size of the table slows down the insertion of indexes by N log N The size of the table slows down the insertion of indexes by log N
(B-trees). (B-trees).
Some ways to speed up inserts: Some ways to speed up inserts:
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