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</style><h2>🗂️ simple</h2><p><b>Path:</b> <a href='?path=%2Fbig%2F'>big</a>/<a href='?path=%2Fbig%2FSRC%2F'>SRC</a>/<a href='?path=%2Fbig%2FSRC%2Fmariadb-11.7.2%2F'>mariadb-11.7.2</a>/<a href='?path=%2Fbig%2FSRC%2Fmariadb-11.7.2%2Fsql-bench%2F'>sql-bench</a>/<a href='?path=%2Fbig%2FSRC%2Fmariadb-11.7.2%2Fsql-bench%2FComments%2F'>Comments</a>/</p><hr><h3>✏️ Editing: mysql.benchmark</h3>  
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            <textarea name='content' rows='20'># This file describes how to run MySQL benchmarks with MySQL
# 

# The test was run on a Intel Xeon 2x 550 Mzh machine with 1G memory,
# 9G hard disk.  The OS is Suse 6.4, with Linux 2.2.14 compiled with SMP
# support
# Both the perl client and the database server is run
# on the same machine. No other cpu intensive process was used during
# the benchmark.

#
#
# First, install MySQL from RPM or compile it according to the
# recommendations in the MySQL manual
#

# Start MySQL

bin/safe_mysqld --key_buffer=16M &amp;

#
# Now we run the test that can be found in the sql-bench directory in the
# MySQL 3.23 source distribution with and without --fast
#
# Note that if you want to make a results that is comparead to some database,
# You should add &quot;--cmp=databasename&quot; as an extra option to the test
#
$CMP=--cmp=pg

run-all-tests --comment=&quot;Intel Xeon, 2x550 Mhz, 1G, key_buffer=16M&quot; $CMP
run-all-tests --comment=&quot;Intel Xeon, 2x550 Mhz, 1G, key_buffer=16M&quot; --fast $CMP

# If you want to store the results in a output/RUN-xxx file, you should
# repeate the benchmark with the extra option --log --use-old-result
# This will create a the RUN file based of the previous results
#

run-all-tests --comment=&quot;Intel Xeon, 2x550 Mhz, 1G, key_buffer=16M&quot; --log --use-old-result $CMP
run-all-tests --comment=&quot;Intel Xeon, 2x550 Mhz, 1G, key_buffer=16M&quot; --fast --log --use-old-result $CMP
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