[+/-]
EXPLAINSELECT QueriesWHERE Clause OptimizationIS NULL OptimizationLEFT JOIN and RIGHT JOIN
        OptimizationORDER BY OptimizationGROUP BY OptimizationDISTINCT OptimizationIN/=ANY SubqueriesLIMIT Optimizationoptimizer_switch to Control the
        OptimizerINFORMATION_SCHEMA OptimizationINSERT StatementsUPDATE StatementsDELETE Statements
      First, one factor affects all statements: The more complex your
      permissions setup, the more overhead you have. Using simpler
      permissions when you issue GRANT
      statements enables MySQL to reduce permission-checking overhead
      when clients execute statements. For example, if you do not grant
      any table-level or column-level privileges, the server need not
      ever check the contents of the tables_priv and
      columns_priv tables. Similarly, if you place no
      resource limits on any accounts, the server does not have to
      perform resource counting. If you have a very high
      statement-processing load, it may be worth the time to use a
      simplified grant structure to reduce permission-checking overhead.
    
      If your problem is with a specific MySQL expression or function,
      you can perform a timing test by invoking the
      BENCHMARK() function using the
      mysql client program. Its syntax is
      BENCHMARK(.
      The return value is always zero, but mysql
      prints a line displaying approximately how long the statement took
      to execute. For example:
    loop_count,expression)
mysql> SELECT BENCHMARK(1000000,1+1);
+------------------------+
| BENCHMARK(1000000,1+1) |
+------------------------+
|                      0 |
+------------------------+
1 row in set (0.32 sec)
This result was obtained on a Pentium II 400MHz system. It shows that MySQL can execute 1,000,000 simple addition expressions in 0.32 seconds on that system.
      All MySQL functions should be highly optimized, but there may be
      some exceptions. BENCHMARK() is an
      excellent tool for finding out if some function is a problem for
      your queries.
    


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