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    1 The MySQL Benchmarks
    2 
    3 These tests require a MySQL version of at least 3.20.28 or 3.21.10.
    4 
    5 Currently the following servers are supported:
    6 MySQL 3.20 and 3.21, PostgreSQL 6.#, mSQL 2.# and Solid Server 2.2
    7 
    8 The benchmark directory contains the query files and raw data files used to
    9 populate the MySQL benchmark tables. In order to run the benchmarks, you
   10 should normally execute a command such as the following:
   11 
   12 run-all-tests --server=mysql --cmp=mysql,pg,solid --user=test --password=test --log
   13 
   14 This means that you want to run the benchmarks with MySQL. The
   15 limits should be taken from all of MySQL, PostgreSQL, and Solid.
   16 The login name and password for connecting to the server both are
   17 ``test''.  The result should be saved as a RUN file in the output
   18 directory.
   19 
   20 When run-all-tests has finished, will have the individual results and the
   21 the total RUN- file in the output directory.
   22 
   23 If you want to look at some old results, use the compare-results script.
   24 For example:
   25 
   26 compare-results --dir=Results --cmp=mysql,pg,solid
   27 compare-results --dir=Results --cmp=mysql,pg,solid --relative
   28 
   29 compare-results --dir=Results --cmp=msql,mysql,pg,solid
   30 compare-results --dir=Results --cmp=msql,mysql,pg,solid --relative
   31 
   32 compare-results --dir=Results --server=mysql --same-server --cmp=mysql,pg,solid
   33 
   34 Some of the files in the benchmark directory are:
   35 
   36 File			Description
   37 
   38 Data/ATIS		Contains data for 29 related tables used in the ATIS tests.
   39 Data/Wisconsin		Contains data for the Wisconsin benchmark.
   40 Results			Contains old benchmark results.
   41 Makefile.am		Automake Makefile
   42 README			This file.
   43 test-ATIS.sh		Creation of 29 tables and a lot of selects on them.
   44 test-connect.sh		Test how fast a connection to the server is.
   45 test-create.sh		Test how fast a table is created.
   46 test-insert.sh		Test create and fill of a table.
   47 test-wisconsin.sh	A port of the PostgreSQL version of this benchmark.
   48 run-all-tests		Use this to run all tests. When all tests are run,
   49 			use the --log and --use-old options to get a RUN-file.
   50 compare-results		Generates a comparison table from different RUN files.
   51 server-cfg		Contains the limits and functions for all supported
   52 			SQL servers.  If you want to add a new server, this
   53 			should be the only file that neads to be changed.
   54 
   55 
   56 Most of the tests should use portable SQL to make it possible to
   57 compare different databases. Sometimes SQL extensions can make things
   58 a lot faster. In this case the test may use the extensions if the --fast
   59 option is used.
   60 
   61 Useful options to all test-scripts (and run-all-tests):
   62 
   63 --host=#	Hostname for MySQL server (default: localhost)
   64 --db=#		Database to use (default: test)
   65 --fast		Allow use of any non-standard SQL extension to
   66 		get things done faster.
   67 --lock-tables	Use table locking to get more speed.
   68 
   69 From a text at http://www.mgt.ncu.edu.tw/CSIM/Paper/sixth/11.html:
   70 
   71 The Wisconsin Benchmark
   72 
   73 The Wisconsin Benchmark described in [Bitton, DeWitt, and Turbyfill
   74 1983] [Boral and DeWitt 1984] [Bitton and Turbyfill 1985] [Bitton and
   75 Turbyfill 1988], and [DeWitt 1993] is the first effort to
   76 systematically measure and compare the performance of relational
   77 database systems with database machines.  The benchmark is a
   78 single-user and single-factor experiment using a synthetic database
   79 and a controlled workload.  It measures the query optimization
   80 performance of database systems with 32 query types to exercise the
   81 components of the proposed systems.  The query suites include
   82 selection, join, projection, aggregate, and simple update queries.
   83 
   84 The test database consists of four generic relations.  The tenk
   85 relation is the key table and most used. Two data types of small
   86 integer numbers and character strings are utilized.  Data values are
   87 uniformly distributed. The primary metric is the query elapsed
   88 time. The main criticisms of the benchmark include the nature of
   89 single-user workload, the simplistic database structure, and the
   90 unrealistic query tests.  A number of efforts have been made to extend
   91 the benchmark to incorporate the multi-user test.  However, they do
   92 not receive the same acceptance as the original Wisconsin benchmark
   93 except an extension work called the AS3AP benchmark.