except ImportError:
from Queue import Queue
from threading import Thread
+from collections import namedtuple
# default module values (can be overridden per job in `config`)
# update_every = 2
priority = 60000
retries = 60
+METHODS = namedtuple('METHODS', ['get_data_function', 'url'])
+
+NODE_STATS = [
+ ('indices.search.fetch_current', None, None),
+ ('indices.search.fetch_total', None, None),
+ ('indices.search.query_current', None, None),
+ ('indices.search.query_total', None, None),
+ ('indices.search.query_time_in_millis', None, None),
+ ('indices.search.fetch_time_in_millis', None, None),
+ ('indices.indexing.index_total', 'indexing_index_total', None),
+ ('indices.indexing.index_current', 'indexing_index_current', None),
+ ('indices.indexing.index_time_in_millis', 'indexing_index_time_in_millis', None),
+ ('indices.refresh.total', 'refresh_total', None),
+ ('indices.refresh.total_time_in_millis', 'refresh_total_time_in_millis', None),
+ ('indices.flush.total', 'flush_total', None),
+ ('indices.flush.total_time_in_millis', 'flush_total_time_in_millis', None),
+ ('jvm.gc.collectors.young.collection_count', 'young_collection_count', None),
+ ('jvm.gc.collectors.old.collection_count', 'old_collection_count', None),
+ ('jvm.gc.collectors.young.collection_time_in_millis', 'young_collection_time_in_millis', None),
+ ('jvm.gc.collectors.old.collection_time_in_millis', 'old_collection_time_in_millis', None),
+ ('jvm.mem.heap_used_percent', 'jvm_heap_percent', None),
+ ('jvm.mem.heap_committed_in_bytes', 'jvm_heap_commit', None),
+ ('thread_pool.bulk.queue', 'bulk_queue', None),
+ ('thread_pool.bulk.rejected', 'bulk_rejected', None),
+ ('thread_pool.index.queue', 'index_queue', None),
+ ('thread_pool.index.rejected', 'index_rejected', None),
+ ('thread_pool.search.queue', 'search_queue', None),
+ ('thread_pool.search.rejected', 'search_rejected', None),
+ ('thread_pool.merge.queue', 'merge_queue', None),
+ ('thread_pool.merge.rejected', 'merge_rejected', None),
+ ('indices.fielddata.memory_size_in_bytes', 'index_fdata_memory', None),
+ ('indices.fielddata.evictions', None, None),
+ ('breakers.fielddata.tripped', None, None),
+ ('http.current_open', 'http_current_open', None),
+ ('transport.rx_size_in_bytes', 'transport_rx_size_in_bytes', None),
+ ('transport.tx_size_in_bytes', 'transport_tx_size_in_bytes', None),
+ ('process.max_file_descriptors', None, None),
+ ('process.open_file_descriptors', None, None)
+]
+
+CLUSTER_STATS = [
+ ('nodes.count.data_only', 'count_data_only', None),
+ ('nodes.count.master_data', 'count_master_data', None),
+ ('nodes.count.total', 'count_total', None),
+ ('nodes.count.master_only', 'count_master_only', None),
+ ('nodes.count.client', 'count_client', None),
+ ('indices.docs.count', 'docs_count', None),
+ ('indices.query_cache.hit_count', 'query_cache_hit_count', None),
+ ('indices.query_cache.miss_count', 'query_cache_miss_count', None),
+ ('indices.store.size_in_bytes', 'store_size_in_bytes', None),
+ ('indices.count', 'indices_count', None),
+ ('indices.shards.total', 'shards_total', None)
+]
+
+HEALTH_STATS = [
+ ('number_of_nodes', 'health_number_of_nodes', None),
+ ('number_of_data_nodes', 'health_number_of_data_nodes', None),
+ ('number_of_pending_tasks', 'health_number_of_pending_tasks', None),
+ ('number_of_in_flight_fetch', 'health_number_of_in_flight_fetch', None),
+ ('active_shards', 'health_active_shards', None),
+ ('relocating_shards', 'health_relocating_shards', None),
+ ('unassigned_shards', 'health_unassigned_shards', None),
+ ('delayed_unassigned_shards', 'health_delayed_unassigned_shards', None),
+ ('initializing_shards', 'health_initializing_shards', None),
+ ('active_shards_percent_as_number', 'health_active_shards_percent_as_number', None)
+]
+
# charts order (can be overridden if you want less charts, or different order)
ORDER = ['search_perf_total', 'search_perf_current', 'search_perf_time', 'search_latency', 'index_perf_total',
'index_perf_current', 'index_perf_time', 'index_latency', 'jvm_mem_heap', 'jvm_gc_count',
CHARTS = {
'search_perf_total': {
- 'options': [None, 'Total number of queries, fetches', 'number of', 'search performance', 'es.search_query_total', 'stacked'],
+ 'options': [None, 'Total number of queries, fetches', 'number of', 'search performance',
+ 'es.search_query_total', 'stacked'],
'lines': [
['query_total', 'queries', 'incremental'],
['fetch_total', 'fetches', 'incremental']
]},
'search_perf_current': {
- 'options': [None, 'Number of queries, fetches in progress', 'number of', 'search performance', 'es.search_query_current', 'stacked'],
+ 'options': [None, 'Number of queries, fetches in progress', 'number of', 'search performance',
+ 'es.search_query_current', 'stacked'],
'lines': [
['query_current', 'queries', 'absolute'],
['fetch_current', 'fetches', 'absolute']
]},
'search_perf_time': {
- 'options': [None, 'Time spent on queries, fetches', 'seconds', 'search performance', 'es.search_time', 'stacked'],
+ 'options': [None, 'Time spent on queries, fetches', 'seconds', 'search performance',
+ 'es.search_time', 'stacked'],
'lines': [
['query_time_in_millis', 'query', 'incremental', 1, 1000],
['fetch_time_in_millis', 'fetch', 'incremental', 1, 1000]
]},
'thread_pool_qr_q': {
'options': [None, 'Number of queued threads in thread pool', 'queued threads', 'queues and rejections',
- 'es.qr_queued', 'stacked'],
+ 'es.thread_pool_queued', 'stacked'],
'lines': [
['bulk_queue', 'bulk', 'absolute'],
['index_queue', 'index', 'absolute'],
]},
'thread_pool_qr_r': {
'options': [None, 'Number of rejected threads in thread pool', 'rejected threads', 'queues and rejections',
- 'es.qr_rejected', 'stacked'],
+ 'es.thread_pool_rejected', 'stacked'],
'lines': [
['bulk_rejected', 'bulk', 'absolute'],
['index_rejected', 'index', 'absolute'],
'fdata_cache': {
'options': [None, 'Fielddata cache size', 'MB', 'fielddata cache', 'es.fdata_cache', 'line'],
'lines': [
- ['index_fdata_mem', 'mem_size', 'absolute', 1, 1048576]
+ ['index_fdata_memory', 'cache', 'absolute', 1, 1048576]
]},
'fdata_ev_tr': {
'options': [None, 'Fielddata evictions and circuit breaker tripped count', 'number of events',
- 'fielddata cache', 'es.fdata_ev_tr', 'line'],
+ 'fielddata cache', 'es.evictions_tripped', 'line'],
'lines': [
- ['index_fdata_evic', 'evictions', 'incremental'],
- ['breakers_fdata_trip', 'tripped', 'incremental']
+ ['evictions', None, 'incremental'],
+ ['tripped', None, 'incremental']
]},
'cluster_health_nodes': {
'options': [None, 'Nodes and tasks statistics', 'units', 'cluster health API',
- 'es.cluster_health', 'stacked'],
+ 'es.cluster_health_nodes', 'stacked'],
'lines': [
['health_number_of_nodes', 'nodes', 'absolute'],
['health_number_of_data_nodes', 'data_nodes', 'absolute'],
['health_number_of_pending_tasks', 'pending_tasks', 'absolute'],
- ['health_number_of_in_flight_fetch', 'inflight_fetch', 'absolute']
+ ['health_number_of_in_flight_fetch', 'in_flight_fetch', 'absolute']
]},
'cluster_health_status': {
'options': [None, 'Cluster status', 'status', 'cluster health API',
]},
'cluster_health_shards': {
'options': [None, 'Shards statistics', 'shards', 'cluster health API',
- 'es.cluster_health_sharts', 'stacked'],
+ 'es.cluster_health_shards', 'stacked'],
'lines': [
['health_active_shards', 'active_shards', 'absolute'],
['health_relocating_shards', 'relocating_shards', 'absolute'],
]},
'cluster_stats_nodes': {
'options': [None, 'Nodes statistics', 'nodes', 'cluster stats API',
- 'es.cluster_stats_nodes', 'stacked'],
+ 'es.cluster_nodes', 'stacked'],
'lines': [
['count_data_only', 'data_only', 'absolute'],
['count_master_data', 'master_data', 'absolute'],
]},
'cluster_stats_query_cache': {
'options': [None, 'Query cache statistics', 'queries', 'cluster stats API',
- 'es.cluster_stats_query_cache', 'stacked'],
+ 'es.cluster_query_cache', 'stacked'],
'lines': [
['query_cache_hit_count', 'hit', 'incremental'],
['query_cache_miss_count', 'miss', 'incremental']
]},
'cluster_stats_docs': {
'options': [None, 'Docs statistics', 'count', 'cluster stats API',
- 'es.cluster_stats_docs', 'line'],
+ 'es.cluster_docs', 'line'],
'lines': [
['docs_count', 'docs', 'absolute']
]},
'cluster_stats_store': {
'options': [None, 'Store statistics', 'MB', 'cluster stats API',
- 'es.cluster_stats_store', 'line'],
+ 'es.cluster_store', 'line'],
'lines': [
['store_size_in_bytes', 'size', 'absolute', 1, 1048567]
]},
'cluster_stats_indices_shards': {
'options': [None, 'Indices and shards statistics', 'count', 'cluster stats API',
- 'es.cluster_stats_ind_sha', 'stacked'],
+ 'es.cluster_indices_shards', 'stacked'],
'lines': [
['indices_count', 'indices', 'absolute'],
['shards_total', 'shards', 'absolute']
]},
'host_metrics_transport': {
'options': [None, 'Cluster communication transport metrics', 'kbit/s', 'host metrics',
- 'es.host_metrics_transport', 'area'],
+ 'es.host_transport', 'area'],
'lines': [
['transport_rx_size_in_bytes', 'in', 'incremental', 8, 1000],
['transport_tx_size_in_bytes', 'out', 'incremental', -8, 1000]
]},
'host_metrics_file_descriptors': {
'options': [None, 'Available file descriptors in percent', 'percent', 'host metrics',
- 'es.host_metrics_descriptors', 'area'],
+ 'es.host_descriptors', 'area'],
'lines': [
['file_descriptors_used', 'used', 'absolute', 1, 10]
]},
'host_metrics_http': {
'options': [None, 'Opened HTTP connections', 'connections', 'host metrics',
- 'es.host_metrics_http', 'line'],
+ 'es.host_http_connections', 'line'],
'lines': [
['http_current_open', 'opened', 'absolute', 1, 1]
]}
self.user = self.configuration.get('user')
self.password = self.configuration.get('pass')
self.latency = dict()
+ self.methods = list()
+ self.auth = self.user and self.password
def check(self):
# We can't start if <host> AND <port> not specified
return False
# It as a bad idea to use hostname.
- # Hostname -> ipaddress
+ # Hostname -> ip address
try:
self.host = gethostbyname(self.host)
- except Exception as e:
- self.error(str(e))
+ except Exception as error:
+ self.error(str(error))
return False
- # HTTP Auth? NOT TESTED
- self.auth = self.user and self.password
-
# Create URL for every Elasticsearch API
url_node_stats = 'http://%s:%s/_nodes/_local/stats' % (self.host, self.port)
url_cluster_health = 'http://%s:%s/_cluster/health' % (self.host, self.port)
user_choice = [bool(self.configuration.get('node_stats', True)),
bool(self.configuration.get('cluster_health', True)),
bool(self.configuration.get('cluster_stats', True))]
-
- avail_methods = [(self._get_node_stats, url_node_stats),
- (self._get_cluster_health, url_cluster_health),
- (self._get_cluster_stats, url_cluster_stats)]
+
+ avail_methods = [METHODS(get_data_function=self._get_node_stats_, url=url_node_stats),
+ METHODS(get_data_function=self._get_cluster_health_, url=url_cluster_health),
+ METHODS(get_data_function=self._get_cluster_stats_, url=url_cluster_stats)]
# Remove disabled API calls from 'avail methods'
self.methods = [avail_methods[_] for _ in range(len(avail_methods)) if user_choice[_]]
# Run _get_data for ALL active API calls.
- api_result = {}
+ api_check_result = dict()
for method in self.methods:
- api_result[method[1]] = (bool(self._get_raw_data(method[1])))
+ try:
+ api_check_result[method.url] = (bool(method.get_data_function(None, method.url)))
+ except KeyError as error:
+ self.error('Failed to parse %s. Error: %s' % (method.url, str(error)))
+ return False
# We can start ONLY if all active API calls returned NOT None
- if not all(api_result.values()):
+ if not all(api_check_result.values()):
self.error('Plugin could not get data from all APIs')
- self.error('%s' % api_result)
+ self.error('%s' % api_check_result)
return False
else:
- self.info('%s' % api_result)
+ self.info('%s' % api_check_result)
self.info('Plugin was started successfully')
return True
result = dict()
for method in self.methods:
- th = Thread(target=method[0], args=(queue, method[1]))
+ th = Thread(target=method.get_data_function, args=(queue, method.url))
th.start()
threads.append(th)
return result or None
- def _get_cluster_health(self, queue, url):
+ def _get_cluster_health_(self, queue, url):
"""
Format data received from http request
:return: dict
data = self._get_raw_data(url)
if not data:
- queue.put({})
+ return queue.put(dict()) if queue else None
else:
- data = data.json() if '__call__' in dir(data.json) else data.json
+ data = data.json() if hasattr(data.json, '__call__') else data.json
+
+ to_netdata = fetch_data_(raw_data=data, metrics_list=HEALTH_STATS)
- to_netdata = dict()
- to_netdata.update(update_key('health', data))
to_netdata.update({'status_green': 0, 'status_red': 0, 'status_yellow': 0,
'status_foo1': 0, 'status_foo2': 0, 'status_foo3': 0})
- to_netdata[''.join(['status_', to_netdata.get('health_status', '')])] = 1
+ current_status = 'status_' + data['status']
+ to_netdata[current_status] = 1
- queue.put(to_netdata)
+ return queue.put(to_netdata) if queue else to_netdata
- def _get_cluster_stats(self, queue, url):
+ def _get_cluster_stats_(self, queue, url):
"""
Format data received from http request
:return: dict
data = self._get_raw_data(url)
if not data:
- queue.put({})
+ return queue.put(dict()) if queue else None
else:
- data = data.json() if '__call__' in dir(data.json) else data.json
+ data = data.json() if hasattr(data.json, '__call__') else data.json
- to_netdata = dict()
- to_netdata.update(update_key('count', data['nodes']['count']))
- to_netdata.update(update_key('query_cache', data['indices']['query_cache']))
- to_netdata.update(update_key('docs', data['indices']['docs']))
- to_netdata.update(update_key('store', data['indices']['store']))
- to_netdata['indices_count'] = data['indices']['count']
- to_netdata['shards_total'] = data['indices'].get('shards', {}).get('total')
+ to_netdata = fetch_data_(raw_data=data, metrics_list=CLUSTER_STATS)
- queue.put(to_netdata)
+ return queue.put(to_netdata) if queue else to_netdata
- def _get_node_stats(self, queue, url):
+ def _get_node_stats_(self, queue, url):
"""
Format data received from http request
:return: dict
data = self._get_raw_data(url)
if not data:
- queue.put({})
+ return queue.put(dict()) if queue else None
else:
- data = data.json() if '__call__' in dir(data.json) else data.json
+ data = data.json() if hasattr(data.json, '__call__') else data.json
node = list(data['nodes'].keys())[0]
- to_netdata = dict()
- # Search performance metrics
- to_netdata.update(data['nodes'][node]['indices']['search'])
- to_netdata['query_latency'] = self.find_avg(to_netdata['query_total'],
- to_netdata['query_time_in_millis'], 'query_latency')
- to_netdata['fetch_latency'] = self.find_avg(to_netdata['fetch_total'],
- to_netdata['fetch_time_in_millis'], 'fetch_latency')
-
- # Indexing performance metrics
- for key in ['indexing', 'refresh', 'flush']:
- to_netdata.update(update_key(key, data['nodes'][node]['indices'].get(key, {})))
- to_netdata['indexing_latency'] = self.find_avg(to_netdata['indexing_index_total'],
- to_netdata['indexing_index_time_in_millis'], 'index_latency')
- to_netdata['flushing_latency'] = self.find_avg(to_netdata['flush_total'],
- to_netdata['flush_total_time_in_millis'], 'flush_latency')
- # Memory usage and garbage collection
- to_netdata.update(update_key('young', data['nodes'][node]['jvm']['gc']['collectors']['young']))
- to_netdata.update(update_key('old', data['nodes'][node]['jvm']['gc']['collectors']['old']))
- to_netdata['jvm_heap_percent'] = data['nodes'][node]['jvm']['mem']['heap_used_percent']
- to_netdata['jvm_heap_commit'] = data['nodes'][node]['jvm']['mem']['heap_committed_in_bytes']
-
- # Thread pool queues and rejections
- for key in ['bulk', 'index', 'search', 'merge']:
- to_netdata.update(update_key(key, data['nodes'][node]['thread_pool'].get(key, {})))
-
- # Fielddata cache
- to_netdata['index_fdata_mem'] = data['nodes'][node]['indices']['fielddata']['memory_size_in_bytes']
- to_netdata['index_fdata_evic'] = data['nodes'][node]['indices']['fielddata']['evictions']
- to_netdata['breakers_fdata_trip'] = data['nodes'][node]['breakers']['fielddata']['tripped']
-
- # Host metrics
- to_netdata.update(update_key('http', data['nodes'][node]['http']))
- to_netdata.update(update_key('transport', data['nodes'][node]['transport']))
- to_netdata['file_descriptors_used'] = round(float(data['nodes'][node]['process']['open_file_descriptors'])
- / data['nodes'][node]['process']['max_file_descriptors'] * 1000)
-
- queue.put(to_netdata)
-
- def find_avg(self, value1, value2, key):
+ to_netdata = fetch_data_(raw_data=data['nodes'][node], metrics_list=NODE_STATS)
+
+ # Search performance latency
+ to_netdata['query_latency'] = self.find_avg_(to_netdata['query_total'],
+ to_netdata['query_time_in_millis'], 'query_latency')
+ to_netdata['fetch_latency'] = self.find_avg_(to_netdata['fetch_total'],
+ to_netdata['fetch_time_in_millis'], 'fetch_latency')
+
+ # Indexing performance latency
+ to_netdata['indexing_latency'] = self.find_avg_(to_netdata['indexing_index_total'],
+ to_netdata['indexing_index_time_in_millis'], 'index_latency')
+ to_netdata['flushing_latency'] = self.find_avg_(to_netdata['flush_total'],
+ to_netdata['flush_total_time_in_millis'], 'flush_latency')
+
+ to_netdata['file_descriptors_used'] = round(float(to_netdata['open_file_descriptors'])
+ / to_netdata['max_file_descriptors'] * 1000)
+
+ return queue.put(to_netdata) if queue else to_netdata
+
+ def find_avg_(self, value1, value2, key):
if key not in self.latency:
self.latency.update({key: [value1, value2]})
return 0
return 0
-def update_key(string, dictionary):
- return dict([('_'.join([string, elem[0]]), elem[1]) for elem in dictionary.items()])
+def fetch_data_(raw_data, metrics_list):
+ to_netdata = dict()
+ for metric, new_name, function in metrics_list:
+ value = raw_data
+ for key in metric.split('.'):
+ try:
+ value = value[key]
+ except KeyError:
+ break
+ if not isinstance(value, dict) and key:
+ to_netdata[new_name or key] = value if not function else function(value)
+
+ return to_netdata
+
projects / netdata.git / commitdiff