本文整理汇总了Python中ccmlib.cluster.Cluster.balanced_tokens方法的典型用法代码示例。如果您正苦于以下问题：Python Cluster.balanced_tokens方法的具体用法？Python Cluster.balanced_tokens怎么用？Python Cluster.balanced_tokens使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类ccmlib.cluster.Cluster的用法示例。
在下文中一共展示了Cluster.balanced_tokens方法的4个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: replace_test
# 需要导入模块: from ccmlib.cluster import Cluster [as 别名]
# 或者: from ccmlib.cluster.Cluster import balanced_tokens [as 别名]
def replace_test(self):
cluster = self.cluster
tokens = Cluster.balanced_tokens(3)
cluster.populate(3, tokens=tokens).start()
[node1, node2, node3] = cluster.nodelist()
cursor = self.cql_connection(node1).cursor()
self.create_ks(cursor, 'ks', 3)
self.create_cf(cursor, 'cf')
for n in xrange(0, 10000):
insert_c1c2(cursor, n, "QUORUM")
cluster.flush()
node3.stop(wait_other_notice=True)
time.sleep(.5)
node4 = new_node(cluster, token=tokens[2])
node4.start(replace_token=tokens[2])
time.sleep(.5)
cluster.cleanup()
time.sleep(.5)
for n in xrange(0, 10000):
query_c1c2(cursor, n, "QUORUM")
sizes = [ node.data_size() for node in cluster.nodelist() if node.is_running()]
assert_almost_equal(*sizes)示例2: simple_bootstrap_test
# 需要导入模块: from ccmlib.cluster import Cluster [as 别名]
# 或者: from ccmlib.cluster.Cluster import balanced_tokens [as 别名]
def simple_bootstrap_test(self):
cluster = self.cluster
if cluster.version() >= '1.2':
tokens = Cluster.balanced_tokens(2, 64)
else:
tokens = Cluster.balanced_tokens(2, 128)
keys = 10000
# Create a single node cluster
cluster.populate(1, tokens=[tokens[0]]).start()
node1 = cluster.nodes["node1"]
time.sleep(.5)
cursor = self.cql_connection(node1).cursor()
self.create_ks(cursor, 'ks', 1)
self.create_cf(cursor, 'cf', columns={ 'c1' : 'text', 'c2' : 'text' })
for n in xrange(0, keys):
insert_c1c2(cursor, n, "ONE")
node1.flush()
initial_size = node1.data_size()
# Reads inserted data all during the boostrap process. We shouldn't
# get any error
reader = self.go(lambda _: query_c1c2(cursor, random.randint(0, keys-1), "ONE"))
# Boostraping a new node
node2 = new_node(cluster, token=tokens[1])
node2.start()
time.sleep(.5)
reader.check()
node1.cleanup()
time.sleep(.5)
reader.check()
size1 = node1.data_size()
size2 = node2.data_size()
assert_almost_equal(size1, size2)
assert_almost_equal(initial_size, 2 * size1)示例3: movement_test
# 需要导入模块: from ccmlib.cluster import Cluster [as 别名]
# 或者: from ccmlib.cluster.Cluster import balanced_tokens [as 别名]
def movement_test(self):
cluster = self.cluster
# Create an unbalanced ring
cluster.populate(3, tokens=[0, 2**125, 2**124]).start()
[node1, node2, node3] = cluster.nodelist()
cursor = self.cql_connection(node1).cursor()
self.create_ks(cursor, 'ks', 1)
self.create_cf(cursor, 'cf')
for n in xrange(0, 10000):
insert_c1c2(cursor, n, "ONE")
cluster.flush()
sizes = [ node.data_size() for node in [node1, node2, node3] ]
# Given the assigned token, node2 and node3 should have approximately
# the same amount of data and node1 must have 6 times as much
assert_almost_equal(sizes[1], sizes[2])
assert_almost_equal(sizes[0], 6 * sizes[1])
# Move nodes to balance the cluster
balancing_tokens = Cluster.balanced_tokens(3)
node2.move(balancing_tokens[1])
node3.move(balancing_tokens[2])
time.sleep(1)
cluster.cleanup()
# Check we can get all the keys
for n in xrange(0, 10000):
query_c1c2(cursor, n, "ONE")
# Now the load should be basically even
sizes = [ node.data_size() for node in [node1, node2, node3] ]
assert_almost_equal(sizes[0], sizes[1])
assert_almost_equal(sizes[0], sizes[2])
assert_almost_equal(sizes[1], sizes[2])示例4: decomission_test
# 需要导入模块: from ccmlib.cluster import Cluster [as 别名]
# 或者: from ccmlib.cluster.Cluster import balanced_tokens [as 别名]
def decomission_test(self):
cluster = self.cluster
tokens = Cluster.balanced_tokens(4)
cluster.populate(4, tokens=tokens).start()
[node1, node2, node3, node4] = cluster.nodelist()
cursor = self.cql_connection(node1).cursor()
self.create_ks(cursor, 'ks', 2)
self.create_cf(cursor, 'cf')
for n in xrange(0, 10000):
insert_c1c2(cursor, n, "QUORUM")
cluster.flush()
sizes = [ node.data_size() for node in cluster.nodelist() if node.is_running()]
init_size = sizes[0]
assert_almost_equal(*sizes)
time.sleep(.5)
node4.decommission()
node4.stop()
cluster.cleanup()
time.sleep(.5)
# Check we can get all the keys
for n in xrange(0, 10000):
query_c1c2(cursor, n, "QUORUM")
sizes = [ node.data_size() for node in cluster.nodelist() if node.is_running() ]
three_node_sizes = sizes
assert_almost_equal(sizes[0], sizes[1])
assert_almost_equal((2.0/3.0) * sizes[0], sizes[2])
assert_almost_equal(sizes[2], init_size)
node3.stop(wait_other_notice=True)
node1.removeToken(tokens[2])
time.sleep(.5)
cluster.cleanup()
time.sleep(.5)
# Check we can get all the keys
for n in xrange(0, 10000):
query_c1c2(cursor, n, "QUORUM")
sizes = [ node.data_size() for node in cluster.nodelist() if node.is_running() ]
assert_almost_equal(*sizes)
assert_almost_equal(sizes[0], 2 * init_size)
node5 = new_node(cluster, token=(tokens[2]+1)).start()
time.sleep(.5)
cluster.cleanup()
time.sleep(.5)
cluster.compact()
time.sleep(.5)
# Check we can get all the keys
for n in xrange(0, 10000):
query_c1c2(cursor, n, "QUORUM")
sizes = [ node.data_size() for node in cluster.nodelist() if node.is_running() ]
# We should be back to the earlir 3 nodes situation
for i in xrange(0, len(sizes)):
assert_almost_equal(sizes[i], three_node_sizes[i])