Add and install the pg_geqo.sample file
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@ -34,7 +34,7 @@
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#
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#
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# IDENTIFICATION
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# $Header: /cvsroot/pgsql/src/backend/Makefile,v 1.18 1997/01/05 21:17:21 bryanh Exp $
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# $Header: /cvsroot/pgsql/src/backend/Makefile,v 1.19 1997/02/19 13:09:29 scrappy Exp $
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#
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#-------------------------------------------------------------------------
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@ -181,7 +181,7 @@ endif
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install: $(LIBDIR) $(BINDIR) $(HEADERDIR) postgres $(EXP) fmgr.h\
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global1.bki.source local1_template1.bki.source \
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libpq/pg_hba.conf.sample
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libpq/pg_hba.conf.sample optimizer/geqo/pg_geqo.sample
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$(INSTALL) $(INSTL_EXE_OPTS) postgres $(BINDIR)/postgres
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ifeq ($(MAKE_EXPORTS), true)
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@ -196,6 +196,8 @@ endif
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$(LIBDIR)/local1_template1.bki.source
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$(INSTALL) $(INSTLOPTS) libpq/pg_hba.conf.sample \
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$(LIBDIR)/pg_hba.conf.sample
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$(INSTALL) $(INSTLOPTS) optimizer/geqo/pg_geqo.sample \
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$(LIBDIR)/pg_geqo.sample
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$(BINDIR) $(LIBDIR) $(HEADERDIR):
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mkdir $@
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64
src/backend/optimizer/geqo/pg_geqo.sample
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64
src/backend/optimizer/geqo/pg_geqo.sample
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@ -0,0 +1,64 @@
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#*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=
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# pg_geqo *
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# ------- =
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# *
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# Example Genetic Algorithm config file =
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# for the PostgreSQL *
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# Genetic Query Optimization (GEQO) module =
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# *
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#*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=
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# Martin Utesch * Institute of Automatic Control *
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# = University of Mining and Technology =
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# utesch@aut.tu-freiberg.de * Freiberg, Germany *
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#*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=
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# this file should be '$PGDATA/pg_geqo', but it doesn't have
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# to exist
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# comment character is '#'
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#
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# separator between recognized tag and possible value
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# must be white space
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# qs: means query size, which is the number of relations
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# contained in a query
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#=================+===================+=============================+
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# RECOGNIZED TAGS | POSSIBLE VALUES | DEFAULTS |
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#=================+===================+=============================+
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# 'Pool_Size' | positive int | 2^(qs+1) |
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#-----------------+-------------------+-----------------------------+
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# 'Effort' | [low,medium,high] | medium |
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#-----------------+-------------------+-----------------------------+
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# 'Generations' | positive int | 'Effort' * log2('Pool_Size')|
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#-----------------+-------------------+-----------------------------+
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# 'Selection_Bias'| [1.50; 2.00] | 2.0 |
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#-----------------+-------------------+-----------------------------+
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# 'Random_Seed' | positive long | time(NULL) |
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#=================+===================+=============================+
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# 'Pool_Size' is essential for the genetic algorithm performance.
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# It gives us the number of individuals within one population.
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#
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# 'Effort' 'low' means integer value of 1, 'medium' 40, and 'high' 80.
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#
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# 'Generations' gives us the stopping criterion for the number
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# of iterations within the genetic algorithm.
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#
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# 'Selection_Bias' gives us the selective pressure within the
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# population.
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#
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# 'Random_Seed' is the random seed for the random() function.
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# You don't have to set it.
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# All parameters will be computed within the GEQO module when they
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# are not set in the pg_geqo file.
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# Example pg_geqo settings:
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#
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#Pool_Size 128
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#Effort low
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#Generations 200
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#Random_Seed 830518260
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#Selection_Bias 1.750000
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