def test_remote_cloud(self):
global base_port
# FIX! we should increment this from 1 to N?
for i in range(1, 10):
# timeout wants to be larger for large numbers of hosts * node_count
# don't want to reload jar/flatfile, so use build_cloud
### base_port += portsPerNode * node_count
print "base_port:", base_port
timeoutSecs = max(60, 8 * totalNodes)
print "totalNodes:", totalNodes, "timeoutSecs:", timeoutSecs
h2o.check_port_group(base_port)
# FIX! would have to recopy the flatfile if we change base_port? hmm.. won't work
### h2o.write_flatfile(node_count=node_count, base_port=base_port)
# FIX! ..just use_flatfile=False for now on these subsequent ones. rely on multicast
# Could make the biggest cloud first and count down? supposed to not matter if flatfile has too many?
start = time.time()
h2o.build_cloud(node_count,
base_port=base_port,
hosts=h2o_hosts.hosts,
use_flatfile=False,
timeoutSecs=timeoutSecs,
retryDelaySecs=0.5)
print "Cloud of", len(
h2o.nodes), "built in", time.time() - start, "seconds"
check_cloud_and_setup_next()
def setUpClass(cls):
# do the first one to build up hosts
# so we don't repeatedly copy the jar
# have to make sure base_port is the same on both!
print "base_port:", base_port
h2o.check_port_group(base_port)
h2o.write_flatfile(node_count=node_count, base_port=base_port)
start = time.time()
h2o_hosts.build_cloud_with_hosts(node_count, base_port=base_port,
use_flatfile=True, java_heap_GB=1)
print "jar/flatfile copied and Cloud of", len(h2o.nodes), "built in", time.time()-start, "seconds"
# have to remember total # of nodes for the next class. it will stay the same
# when we tear down the cloud, we zero the nodes list
global totalNodes
totalNodes = len(h2o.nodes)
check_cloud_and_setup_next()
def setUpClass(cls):
# do the first one to build up hosts
# so we don't repeatedly copy the jar
# have to make sure base_port is the same on both!
print "base_port:", base_port
h2o.check_port_group(base_port)
start = time.time()
# writes it's own flatfile
h2o_hosts.build_cloud_with_hosts(node_count, base_port=base_port,
use_flatfile=True, java_heap_GB=1)
print "jar/flatfile copied and Cloud of", len(h2o.nodes), "built in", time.time()-start, "seconds"
# have to remember total # of nodes for the next class. it will stay the same
# when we tear down the cloud, we zero the nodes list
global totalNodes
totalNodes = len(h2o.nodes)
check_cloud_and_setup_next()
def test_remote_cloud(self):
global base_port
# FIX! we should increment this from 1 to N?
for i in range(1,10):
# timeout wants to be larger for large numbers of hosts * node_count
# don't want to reload jar/flatfile, so use build_cloud
base_port += portsPerNode * node_count
print "base_port:", base_port
timeoutSecs = max(60, 8 * totalNodes)
print "totalNodes:", totalNodes, "timeoutSecs:", timeoutSecs
h2o.check_port_group(base_port)
# FIX! have to recopy the flatfile if we change base_port? hmm.. won't work
h2o.write_flatfile(node_count=node_count, base_port=base_port)
# FIX! ..just use_flatfile=False for now on these subsequent ones. rely on multicast
start = time.time()
h2o.build_cloud(node_count, base_port=base_port, hosts=h2o_hosts.hosts, use_flatfile=False,
timeoutSecs=timeoutSecs, retryDelaySecs=0.5)
print "Cloud of", len(h2o.nodes), "built in", time.time()-start, "seconds"
check_cloud_and_setup_next()
