def test_distributeWorkThroughClusters(self):
"""
This test distributes data through different clusters and execute the same example on them
"""
# For localhost configuration
clusters = ["localhost"] # the clusters used
hadoop_source = "/user/xeon/gutenberg"
hadoop_output = "/user/xeon/gutenberg-output"
hadoop_jar = settings.get_hadoop_home() + "/hadoop-examples-1.0.4.jar"
command = """%s jar %s wordcount %s %s""" % (settings.get_hadoop_bin(),
hadoop_jar, hadoop_source,
hadoop_output)
print "Execute the job"
mstart = datetime.now()
for q in clusters:
executeCommand.apply_async(queue=q, args=(command, ))
mend = datetime.now()
# copy data from HDFS to local
print "Validate data"
vstart = datetime.now()
data = []
for q in clusters:
output = medusa.generateDigests.apply_async(queue=q,
args=(hadoop_output +
"/part*", ))
data.append(output.get())
# the validation of the digests is made by the scheduling algorithm
vend = datetime.now()
print data
disconnect_all()
print "Execution time: " + str(mend - mstart)
print "Verification time: " + str(vend - vstart)
def get_hadoop_path():
return settings.get_hadoop_home()
def cat(path):
return "%s dfs -cat %s" % (settings.get_hadoop_home() + "/bin/hdfs", path)
def copyFromLocal(src, dest):
return "%s dfs -copyFromLocal %s %s" % (settings.get_hadoop_home() + "/bin/hdfs", src, dest)
