def testEmit(query, name):
LOG.info("compiling %s: %s", name, query)
# Create a compiler object
dlog = RACompiler()
# parse the query
dlog.fromDatalog(query)
#print dlog.parsed
LOG.info("logical: %s",dlog.logicalplan)
dlog.optimize(target=GrappaAlgebra)
LOG.info("physical: %s",dlog.physicalplan[0][1])
# generate code in the target language
code = ""
code += comment("Query " + query)
code += dlog.compile()
with open(name+'.cpp', 'w') as f:
f.write(code)
def testEmit(query, name):
LOG.info("compiling %s: %s", name, query)
# Create a compiler object
dlog = RACompiler()
# parse the query
dlog.fromDatalog(query)
#print dlog.parsed
LOG.info("logical: %s", dlog.logicalplan)
dlog.optimize(target=GrappaAlgebra)
LOG.info("physical: %s", dlog.physicalplan[0][1])
# generate code in the target language
code = ""
code += comment("Query " + query)
code += dlog.compile()
with open(name + '.cpp', 'w') as f:
f.write(code)
# Compute the cluster centers. First, compute the server-local cluster centers CL(cid, avg(x) ) :- C(pid, cid), P(pid, x) """ query = """ A@*(x) :- R(x,y,z) """ query = """ smallTableJoin(x,z) :- smallTable(x,y),smallTable(y,z) """ def comment(s): print "/*\n%s\n*/" % str(s) dlog = RACompiler() dlog.fromDatalog(query) print dlog.logicalplan dlog.optimize(target=MyriaAlgebra, eliminate_common_subexpressions=False) code = dlog.compile() print code # generate code in the target language #print compile(physicalplan) #compile(physicalplan) print compile(physicalplan)
