diff options
Diffstat (limited to '')
| -rw-r--r-- | python.d/elasticsearch.chart.py | 198 |
1 files changed, 101 insertions, 97 deletions
diff --git a/python.d/elasticsearch.chart.py b/python.d/elasticsearch.chart.py index 430227f6..9ec08719 100644 --- a/python.d/elasticsearch.chart.py +++ b/python.d/elasticsearch.chart.py @@ -85,6 +85,21 @@ HEALTH_STATS = [ ('active_shards_percent_as_number', 'health_active_shards_percent_as_number', None) ] +LATENCY = { + 'query_latency': + {'total': 'query_total', + 'spent_time': 'query_time_in_millis'}, + 'fetch_latency': + {'total': 'fetch_total', + 'spent_time': 'fetch_time_in_millis'}, + 'indexing_latency': + {'total': 'indexing_index_total', + 'spent_time': 'indexing_index_time_in_millis'}, + 'flushing_latency': + {'total': 'flush_total', + 'spent_time': 'flush_total_time_in_millis'} +} + # 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', @@ -95,34 +110,34 @@ ORDER = ['search_perf_total', 'search_perf_current', 'search_perf_time', 'search CHARTS = { 'search_perf_total': { - 'options': [None, 'Total number of queries, fetches', 'number of', 'search performance', + 'options': [None, 'Queries And 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', + 'options': [None, 'Queries and 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', + 'options': [None, 'Time Spent On Queries And 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] ]}, 'search_latency': { - 'options': [None, 'Query and fetch latency', 'ms', 'search performance', 'es.search_latency', 'stacked'], + 'options': [None, 'Query And Fetch Latency', 'ms', 'search performance', 'es.search_latency', 'stacked'], 'lines': [ ['query_latency', 'query', 'absolute', 1, 1000], ['fetch_latency', 'fetch', 'absolute', 1, 1000] ]}, 'index_perf_total': { - 'options': [None, 'Total number of documents indexed, index refreshes, index flushes to disk', 'number of', + 'options': [None, 'Indexed Documents, Index Refreshes, Index Flushes To Disk', 'number of', 'indexing performance', 'es.index_performance_total', 'stacked'], 'lines': [ ['indexing_index_total', 'indexed', 'incremental'], @@ -130,13 +145,13 @@ CHARTS = { ['flush_total', 'flushes', 'incremental'] ]}, 'index_perf_current': { - 'options': [None, 'Number of documents currently being indexed', 'currently indexed', + 'options': [None, 'Number Of Documents Currently Being Indexed', 'currently indexed', 'indexing performance', 'es.index_performance_current', 'stacked'], 'lines': [ ['indexing_index_current', 'documents', 'absolute'] ]}, 'index_perf_time': { - 'options': [None, 'Time spent on indexing, refreshing, flushing', 'seconds', 'indexing performance', + 'options': [None, 'Time Spent On Indexing, Refreshing, Flushing', 'seconds', 'indexing performance', 'es.search_time', 'stacked'], 'lines': [ ['indexing_index_time_in_millis', 'indexing', 'incremental', 1, 1000], @@ -144,33 +159,33 @@ CHARTS = { ['flush_total_time_in_millis', 'flushing', 'incremental', 1, 1000] ]}, 'index_latency': { - 'options': [None, 'Indexing and flushing latency', 'ms', 'indexing performance', + 'options': [None, 'Indexing And Flushing Latency', 'ms', 'indexing performance', 'es.index_latency', 'stacked'], 'lines': [ ['indexing_latency', 'indexing', 'absolute', 1, 1000], ['flushing_latency', 'flushing', 'absolute', 1, 1000] ]}, 'jvm_mem_heap': { - 'options': [None, 'JVM heap currently in use/committed', 'percent/MB', 'memory usage and gc', + 'options': [None, 'JVM Heap Currently in Use/Committed', 'percent/MB', 'memory usage and gc', 'es.jvm_heap', 'area'], 'lines': [ ['jvm_heap_percent', 'inuse', 'absolute'], ['jvm_heap_commit', 'commit', 'absolute', -1, 1048576] ]}, 'jvm_gc_count': { - 'options': [None, 'Count of garbage collections', 'counts', 'memory usage and gc', 'es.gc_count', 'stacked'], + 'options': [None, 'Garbage Collections', 'counts', 'memory usage and gc', 'es.gc_count', 'stacked'], 'lines': [ ['young_collection_count', 'young', 'incremental'], ['old_collection_count', 'old', 'incremental'] ]}, 'jvm_gc_time': { - 'options': [None, 'Time spent on garbage collections', 'ms', 'memory usage and gc', 'es.gc_time', 'stacked'], + 'options': [None, 'Time Spent On Garbage Collections', 'ms', 'memory usage and gc', 'es.gc_time', 'stacked'], 'lines': [ ['young_collection_time_in_millis', 'young', 'incremental'], ['old_collection_time_in_millis', 'old', 'incremental'] ]}, 'thread_pool_qr_q': { - 'options': [None, 'Number of queued threads in thread pool', 'queued threads', 'queues and rejections', + 'options': [None, 'Number Of Queued Threads In Thread Pool', 'queued threads', 'queues and rejections', 'es.thread_pool_queued', 'stacked'], 'lines': [ ['bulk_queue', 'bulk', 'absolute'], @@ -179,7 +194,7 @@ CHARTS = { ['merge_queue', 'merge', 'absolute'] ]}, 'thread_pool_qr_r': { - 'options': [None, 'Number of rejected threads in thread pool', 'rejected threads', 'queues and rejections', + 'options': [None, 'Rejected Threads In Thread Pool', 'rejected threads', 'queues and rejections', 'es.thread_pool_rejected', 'stacked'], 'lines': [ ['bulk_rejected', 'bulk', 'absolute'], @@ -188,19 +203,19 @@ CHARTS = { ['merge_rejected', 'merge', 'absolute'] ]}, 'fdata_cache': { - 'options': [None, 'Fielddata cache size', 'MB', 'fielddata cache', 'es.fdata_cache', 'line'], + 'options': [None, 'Fielddata Cache', 'MB', 'fielddata cache', 'es.fdata_cache', 'line'], 'lines': [ ['index_fdata_memory', 'cache', 'absolute', 1, 1048576] ]}, 'fdata_ev_tr': { - 'options': [None, 'Fielddata evictions and circuit breaker tripped count', 'number of events', + 'options': [None, 'Fielddata Evictions And Circuit Breaker Tripped Count', 'number of events', 'fielddata cache', 'es.evictions_tripped', 'line'], 'lines': [ ['evictions', None, 'incremental'], ['tripped', None, 'incremental'] ]}, 'cluster_health_nodes': { - 'options': [None, 'Nodes and tasks statistics', 'units', 'cluster health API', + 'options': [None, 'Nodes And Tasks Statistics', 'units', 'cluster health API', 'es.cluster_health_nodes', 'stacked'], 'lines': [ ['health_number_of_nodes', 'nodes', 'absolute'], @@ -209,7 +224,7 @@ CHARTS = { ['health_number_of_in_flight_fetch', 'in_flight_fetch', 'absolute'] ]}, 'cluster_health_status': { - 'options': [None, 'Cluster status', 'status', 'cluster health API', + 'options': [None, 'Cluster Status', 'status', 'cluster health API', 'es.cluster_health_status', 'area'], 'lines': [ ['status_green', 'green', 'absolute'], @@ -220,7 +235,7 @@ CHARTS = { ['status_yellow', 'yellow', 'absolute'] ]}, 'cluster_health_shards': { - 'options': [None, 'Shards statistics', 'shards', 'cluster health API', + 'options': [None, 'Shards Statistics', 'shards', 'cluster health API', 'es.cluster_health_shards', 'stacked'], 'lines': [ ['health_active_shards', 'active_shards', 'absolute'], @@ -231,7 +246,7 @@ CHARTS = { ['health_active_shards_percent_as_number', 'active_percent', 'absolute'] ]}, 'cluster_stats_nodes': { - 'options': [None, 'Nodes statistics', 'nodes', 'cluster stats API', + 'options': [None, 'Nodes Statistics', 'nodes', 'cluster stats API', 'es.cluster_nodes', 'stacked'], 'lines': [ ['count_data_only', 'data_only', 'absolute'], @@ -241,46 +256,46 @@ CHARTS = { ['count_client', 'client', 'absolute'] ]}, 'cluster_stats_query_cache': { - 'options': [None, 'Query cache statistics', 'queries', 'cluster stats API', + 'options': [None, 'Query Cache Statistics', 'queries', 'cluster stats API', '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', + 'options': [None, 'Docs Statistics', 'count', 'cluster stats API', 'es.cluster_docs', 'line'], 'lines': [ ['docs_count', 'docs', 'absolute'] ]}, 'cluster_stats_store': { - 'options': [None, 'Store statistics', 'MB', 'cluster stats API', + 'options': [None, 'Store Statistics', 'MB', 'cluster stats API', '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', + 'options': [None, 'Indices And Shards Statistics', 'count', 'cluster stats API', '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', + 'options': [None, 'Cluster Communication Transport Metrics', 'kilobit/s', 'host metrics', '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', + 'options': [None, 'Available File Descriptors In Percent', 'percent', 'host metrics', 'es.host_descriptors', 'area'], 'lines': [ ['file_descriptors_used', 'used', 'absolute', 1, 10] ]}, 'host_metrics_http': { - 'options': [None, 'Opened HTTP connections', 'connections', 'host metrics', + 'options': [None, 'Opened HTTP Connections', 'connections', 'host metrics', 'es.host_http_connections', 'line'], 'lines': [ ['http_current_open', 'opened', 'absolute', 1, 1] @@ -300,12 +315,13 @@ class Service(UrlService): self.methods = list() def check(self): - # We can't start if <host> AND <port> not specified - if not all([self.host, self.port, isinstance(self.host, str), isinstance(self.port, (str, int))]): + if not all([self.host, + self.port, + isinstance(self.host, str), + isinstance(self.port, (str, int))]): self.error('Host is not defined in the module configuration file') return False - # It as a bad idea to use hostname. # Hostname -> ip address try: self.host = gethostbyname(self.host) @@ -313,45 +329,33 @@ class Service(UrlService): self.error(str(error)) return False - scheme = 'http' if self.scheme else 'https' + scheme = 'http' if self.scheme == 'http' else 'https' # Add handlers (auth, self signed cert accept) self.url = '%s://%s:%s' % (scheme, self.host, self.port) - self._UrlService__add_openers() + self.opener = self._build_opener() # Create URL for every Elasticsearch API url_node_stats = '%s://%s:%s/_nodes/_local/stats' % (scheme, self.host, self.port) url_cluster_health = '%s://%s:%s/_cluster/health' % (scheme, self.host, self.port) url_cluster_stats = '%s://%s:%s/_cluster/stats' % (scheme, self.host, self.port) - # Create list of enabled API calls 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 = [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)] + 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[e[0]] for e in enumerate(avail_methods) if user_choice[e[0]]] - - # Run _get_data for ALL active API calls. - api_check_result = dict() - data_from_check = dict() - for method in self.methods: - try: - api_check_result[method.url] = method.get_data_function(None, method.url) - data_from_check.update(api_check_result[method.url] or dict()) - 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_check_result.values()): - self.error('Plugin could not get data from all APIs') + data = self._get_data() + if not data: return False - else: - self._data_from_check = data_from_check - return True + self._data_from_check = data + return True def _get_data(self): threads = list() @@ -359,7 +363,8 @@ class Service(UrlService): result = dict() for method in self.methods: - th = Thread(target=method.get_data_function, args=(queue, method.url)) + th = Thread(target=method.get_data_function, + args=(queue, method.url)) th.start() threads.append(th) @@ -378,18 +383,18 @@ class Service(UrlService): raw_data = self._get_raw_data(url) if not raw_data: - return queue.put(dict()) if queue else None - else: - data = loads(raw_data) + return queue.put(dict()) - to_netdata = fetch_data_(raw_data=data, metrics_list=HEALTH_STATS) + data = loads(raw_data) + to_netdata = fetch_data_(raw_data=data, + metrics_list=HEALTH_STATS) - to_netdata.update({'status_green': 0, 'status_red': 0, 'status_yellow': 0, - 'status_foo1': 0, 'status_foo2': 0, 'status_foo3': 0}) - current_status = 'status_' + data['status'] - to_netdata[current_status] = 1 + to_netdata.update({'status_green': 0, 'status_red': 0, 'status_yellow': 0, + 'status_foo1': 0, 'status_foo2': 0, 'status_foo3': 0}) + current_status = 'status_' + data['status'] + to_netdata[current_status] = 1 - return queue.put(to_netdata) if queue else to_netdata + return queue.put(to_netdata) def _get_cluster_stats_(self, queue, url): """ @@ -400,13 +405,13 @@ class Service(UrlService): raw_data = self._get_raw_data(url) if not raw_data: - return queue.put(dict()) if queue else None - else: - data = loads(raw_data) + return queue.put(dict()) - to_netdata = fetch_data_(raw_data=data, metrics_list=CLUSTER_STATS) + data = loads(raw_data) + to_netdata = fetch_data_(raw_data=data, + metrics_list=CLUSTER_STATS) - return queue.put(to_netdata) if queue else to_netdata + return queue.put(to_netdata) def _get_node_stats_(self, queue, url): """ @@ -417,47 +422,46 @@ class Service(UrlService): raw_data = self._get_raw_data(url) if not raw_data: - return queue.put(dict()) if queue else None - else: - data = loads(raw_data) - - node = list(data['nodes'].keys())[0] - to_netdata = fetch_data_(raw_data=data['nodes'][node], metrics_list=NODE_STATS) + return queue.put(dict()) - # 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') + data = loads(raw_data) - # 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') + node = list(data['nodes'].keys())[0] + to_netdata = fetch_data_(raw_data=data['nodes'][node], + metrics_list=NODE_STATS) + # Search, index, flush, fetch performance latency + for key in LATENCY: + try: + to_netdata[key] = self.find_avg_(total=to_netdata[LATENCY[key]['total']], + spent_time=to_netdata[LATENCY[key]['spent_time']], + key=key) + except KeyError: + continue + if 'open_file_descriptors' in to_netdata and 'max_file_descriptors' in to_netdata: 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 + return queue.put(to_netdata) - def find_avg_(self, value1, value2, key): + def find_avg_(self, total, spent_time, key): if key not in self.latency: - self.latency.update({key: [value1, value2]}) + self.latency[key] = dict(total=total, + spent_time=spent_time) return 0 - else: - if not self.latency[key][0] == value1: - latency = round(float(value2 - self.latency[key][1]) / float(value1 - self.latency[key][0]) * 1000) - self.latency.update({key: [value1, value2]}) - return latency - else: - self.latency.update({key: [value1, value2]}) - return 0 + if self.latency[key]['total'] != total: + latency = float(spent_time - self.latency[key]['spent_time'])\ + / float(total - self.latency[key]['total']) * 1000 + self.latency[key]['total'] = total + self.latency[key]['spent_time'] = spent_time + return latency + self.latency[key]['spent_time'] = spent_time + return 0 def fetch_data_(raw_data, metrics_list): to_netdata = dict() - for metric, new_name, function in metrics_list: + for metric, new_name, func in metrics_list: value = raw_data for key in metric.split('.'): try: @@ -465,7 +469,7 @@ def fetch_data_(raw_data, metrics_list): except KeyError: break if not isinstance(value, dict) and key: - to_netdata[new_name or key] = value if not function else function(value) + to_netdata[new_name or key] = value if not func else func(value) return to_netdata |