def run(url="", user="", passwrd="", nodes=[], slow_queries=True, num_samples = 60, result_set=60):
'''Entry point for getting the metrics for the query nodes'''
url = check_cluster(url, user, passwrd)
metrics = []
cluster_values = cb_cluster._get_cluster(url, user, passwrd, [])
if num_samples != 60:
result_set = num_samples
if len(nodes) == 0:
if len(cluster_values['serviceNodes']['n1ql']) > 0:
# get the metrics from the query service for each of the n1ql nodes
query_metrics = _get_metrics(
user,
passwrd,
cluster_values['serviceNodes']['n1ql'], cluster_values['clusterName'],
slow_queries,
result_set)
metrics = query_metrics['metrics']
else:
# get the metrics from the query service for each of the n1ql nodes
query_metrics = _get_metrics(
user,
passwrd,
nodes, cluster_values['clusterName'],
slow_queries,
result_set)
metrics = query_metrics['metrics']
return metrics
def run(url="",
user="",
passwrd="",
buckets=[],
nodes=[],
num_samples=60,
result_set=60):
'''Entry point for getting the metrics for the kv nodes and buckets'''
url = check_cluster(url, user, passwrd)
metrics = []
cluster_values = cb_cluster._get_cluster(url, user, passwrd, [])
if num_samples != 60:
result_set = num_samples
if len(nodes) == 0:
if len(cluster_values['serviceNodes']['kv']) > 0:
bucket_metrics = _get_metrics(user, passwrd,
cluster_values['serviceNodes']['kv'],
cluster_values['clusterName'],
buckets, result_set)
metrics = bucket_metrics['metrics']
else:
bucket_metrics = _get_metrics(user, passwrd, nodes,
cluster_values['clusterName'], buckets,
result_set)
metrics = bucket_metrics['metrics']
return metrics
def run(url="",
user="",
passwrd="",
buckets=[],
nodes=[],
key="",
mctiming_path="",
ssh_un="",
ssh_host="",
result_set=60):
'''Entry point for getting the mctimings'''
url = check_cluster(url, user, passwrd)
metrics = []
cluster_values = cb_cluster._get_cluster(url, user, passwrd, [])
node_list = []
if len(buckets) == 0:
buckets = get_buckets(url, user, passwrd)
for _node in cluster_values['serviceNodes']['kv']:
node_list.append(_node.split(":")[0])
cluster = cluster_values['clusterName']
if len(nodes) == 0:
if len(cluster_values['serviceNodes']['kv']) > 0:
mctiming_metrics = _get_metrics(user, passwrd,
cluster_values['clusterName'],
buckets, node_list, key,
mctiming_path, ssh_un, ssh_host)
metrics = filter(None, mctiming_metrics['metrics'])
else:
mctiming_metrics = _get_metrics(user, passwrd,
cluster_values['clusterName'], buckets,
nodes, key, mctiming_path, ssh_un,
ssh_host)
metrics = filter(None, mctiming_metrics['metrics'])
return metrics
def run(url="", user="", passwrd="", nodes=[]):
'''Entry point for getting the metrics for the analytics nodes'''
url = check_cluster(url, user, passwrd)
metrics = []
cluster_values = cb_cluster._get_cluster(url, user, passwrd, [])
if len(nodes) == 0:
if len(cluster_values['nodeList']) > 0:
__metrics = _get_metrics(user, passwrd, cluster_values['nodeList'],
cluster_values['clusterName'])
metrics = __metrics['metrics']
else:
__metrics = _get_metrics(user, passwrd, nodes,
cluster_values['clusterName'])
metrics = __metrics['metrics']
return metrics
def run(url="",
user="",
passwrd="",
nodes=[],
buckets=[],
num_samples=60,
result_set=60):
'''Entry point for getting the metrics for xdcr'''
url = check_cluster(url, user, passwrd)
metrics = []
cluster_values = cb_cluster._get_cluster(url, user, passwrd, [])
if num_samples != 60:
result_set = num_samples
try:
if len(nodes) == 0:
if len(buckets) == 0:
if len(cluster_values['serviceNodes']['kv']) > 0:
bucket_metrics = cb_bucket._get_buckets(
cluster_values['serviceNodes']['kv'][0], user, passwrd)
else:
bucket_metrics = buckets
xdcr_metrics = _get_metrics(user, passwrd,
cluster_values['serviceNodes']['kv'],
bucket_metrics,
cluster_values['clusterName'],
result_set)
metrics = xdcr_metrics['metrics']
else:
if len(buckets) == 0:
bucket_metrics = cb_bucket._get_metrics(
user, passwrd, nodes, cluster_values['clusterName'],
result_set)
else:
bucket_metrics = {"buckets": buckets}
xdcr_metrics = _get_metrics(user, passwrd, nodes,
bucket_metrics['buckets'],
cluster_values['clusterName'],
result_set)
metrics = xdcr_metrics['metrics']
except Exception as e:
exc_type, exc_value, exc_traceback = sys.exc_info()
print("Error getting xdcr started {}: {} {}, {}".format(
nodes, str(e.args), exc_value, exc_traceback.tb_lineno))
return metrics
def run(url="",
user="",
passwrd="",
index=[],
buckets=[],
nodes=[],
num_samples=60,
result_set=60):
'''Entry point for getting the metrics for the index nodes'''
url = check_cluster(url, user, passwrd)
metrics = []
cluster_values = cb_cluster._get_cluster(url, user, passwrd, [])
if num_samples != 60:
result_set = num_samples
if len(buckets) == 0:
buckets = cb_bucket._get_index_buckets(url, user, passwrd)
if len(nodes) == 0:
if len(cluster_values['serviceNodes']['index']) > 0 and len(
buckets) > 0:
# get the index replica stats
index_replicas = _get_index_replica_counts(
cluster_values['serviceNodes']['index'][0], user, passwrd,
cluster_values['clusterName'])
metrics = metrics + index_replicas['metrics']
index_metrics = _get_metrics(
user, passwrd, cluster_values['serviceNodes']['index'],
buckets, cluster_values['clusterName'], result_set)
metrics = metrics + index_metrics['metrics']
else:
if len(buckets) > 0:
# get the index replica stats
index_replicas = _get_index_replica_counts(
nodes[0], user, passwrd, cluster_values['clusterName'])
metrics = metrics + index_replicas['metrics']
index_metrics = _get_metrics(user, passwrd, nodes, buckets,
cluster_values['clusterName'],
result_set)
metrics = metrics + index_metrics['metrics']
return metrics
def run(url="", user="", passwrd="", nodes=[], num_samples=60, result_set=60):
'''Entry point for getting the metrics for the system from the nodes'''
url = check_cluster(url, user, passwrd)
metrics = []
cluster_values = cb_cluster._get_cluster(url, user, passwrd, [])
if num_samples != 60:
result_set = num_samples
if len(nodes) == 0:
if len(cluster_values['nodeList']) > 0:
# get node metrics
node_metrics = cb_nodes._get_metrics(user, passwrd,
cluster_values['nodeList'],
cluster_values['clusterName'],
result_set)
metrics = metrics + node_metrics['metrics']
# get system metrics
cluster_metrics = _get_metrics(user, passwrd,
cluster_values['nodeList'],
cluster_values['clusterName'],
result_set)
metrics = metrics + cluster_metrics['metrics']
# get disk metrics
disk_metrics = _get_disk_metrics(user, passwrd,
cluster_values['nodeList'],
cluster_values['clusterName'])
metrics = metrics + disk_metrics['metrics']
else:
# get node metrics
node_metrics = cb_nodes._get_metrics(user, passwrd, nodes,
cluster_values['clusterName'],
result_set)
metrics = metrics + node_metrics['metrics']
# get system metrics
cluster_metrics = _get_metrics(user, passwrd, nodes,
cluster_values['clusterName'],
result_set)
metrics = metrics + cluster_metrics['metrics']
# get disk metrics
disk_metrics = _get_disk_metrics(user, passwrd,
cluster_values['nodeList'],
cluster_values['clusterName'])
metrics = metrics + disk_metrics['metrics']
return metrics
