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authorunknown <serg@serg.mysql.com>2001-12-04 16:52:28 +0100
committerunknown <serg@serg.mysql.com>2001-12-04 16:52:28 +0100
commit0831ce1c616296196eff82065da469156b4def82 (patch)
treec76029aa9df24f7c546bd4984a6bcdffea3eae07
parent1d55c88e08f7e77093156f82702dce1e79744793 (diff)
downloadmariadb-git-0831ce1c616296196eff82065da469156b4def82.tar.gz
myisam_bulk_insert_tree_size clarification
-rw-r--r--Docs/manual.texi12
1 files changed, 7 insertions, 5 deletions
diff --git a/Docs/manual.texi b/Docs/manual.texi
index e314153113f..bbe7355a33c 100644
--- a/Docs/manual.texi
+++ b/Docs/manual.texi
@@ -18413,7 +18413,9 @@ After this many write locks, allow some read locks to run in between.
MySQL uses special tree-like cache to make bulk inserts (that is,
@code{INSERT ... SELECT}, @code{INSERT ... VALUES (...), (...), ...}, and
@code{LOAD DATA INFILE}) faster. This variable limits
-the size of the cache tree in bytes per thread. Default value is 8 MB.
+the size of the cache tree in bytes per thread.
+@strong{Note:} This cache is only used when adding data to non-empty table.
+Default value is 8 MB.
@item @code{myisam_recover_options}
The value of the @code{--myisam-recover} option.
@@ -24116,10 +24118,10 @@ Some ways to speed up inserts:
@itemize @bullet
@item
If you are inserting many rows from the same client at the same time, use
-multiple value lists @code{INSERT} statements. This is much faster (many
-times in some cases) than using separate @code{INSERT} statements.
-Tune up @code{myisam_bulk_insert_tree_size} variable to make it even
-faster. @xref{SHOW VARIABLES}.
+multiple value lists @code{INSERT} statements. This is much faster (many times
+in some cases) than using separate @code{INSERT} statements. If you are adding
+data to non-empty table, you may tune up @code{myisam_bulk_insert_tree_size}
+variable to make it even faster. @xref{SHOW VARIABLES}.
@item
If you are inserting a lot of rows from different clients, you can get
higher speed by using the @code{INSERT DELAYED} statement. @xref{INSERT,