The branch, master has been updated
       via  c64ac7291ecd57f719e3ce90e8d707bf1dd5ee60 (commit)
      from  d3aa1ece3def7d8e63ad3dc966ea9452284eec65 (commit)


- Log -----------------------------------------------------------------
commit c64ac7291ecd57f719e3ce90e8d707bf1dd5ee60
Author: Marc Delisle <[email protected]>
Date:   Fri Oct 7 07:57:30 2011 -0400

    Typos

-----------------------------------------------------------------------

Summary of changes:
 libraries/advisory_rules.txt |    2 +-
 1 files changed, 1 insertions(+), 1 deletions(-)

diff --git a/libraries/advisory_rules.txt b/libraries/advisory_rules.txt
index 8216a49..f127e29 100644
--- a/libraries/advisory_rules.txt
+++ b/libraries/advisory_rules.txt
@@ -254,7 +254,7 @@ rule 'Temp disk rate'
        Created_tmp_disk_tables / Uptime
        value * 60 * 60 > 1
        Many temporary tables are being written to disk instead of being kept 
in memory.
-       Increasing {max_heap_table_size} and {tmp_table_size} might help. 
However some temporary tables are always being written to disk, independent of 
the value of these variables. To eliminate these you will have to rewrite your 
queries to avoid those conditions (Within a temprorary table: Presence of a 
BLOB or TEXT column or presence of a column bigger than 512 bytes) as mentioned 
in in the <a 
href="http://dev.mysql.com/doc/refman/5.5/en/internal-temporary-tables.html";>MySQL
 Documentation</a>
+       Increasing {max_heap_table_size} and {tmp_table_size} might help. 
However some temporary tables are always being written to disk, independent of 
the value of these variables. To eliminate these you will have to rewrite your 
queries to avoid those conditions (Within a temporary table: Presence of a BLOB 
or TEXT column or presence of a column bigger than 512 bytes) as mentioned in 
the <a 
href="http://dev.mysql.com/doc/refman/5.5/en/internal-temporary-tables.html";>MySQL
 Documentation</a>
        Rate of temporary tables being written to disk: %s, this value should 
be less than 1 per hour | PMA_bytime(value,2)
 
 # I couldn't find any source on the internet that suggests a direct relation 
between high counts of temporary tables and any of these variables.


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