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772 lines
28 KiB
Python
772 lines
28 KiB
Python
# -*- coding: utf-8 -*-
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# Description: elastic search node stats netdata python.d module
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# Author: ilyam8
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# SPDX-License-Identifier: GPL-3.0-or-later
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import json
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import threading
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from collections import namedtuple
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from socket import gethostbyname, gaierror
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try:
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from queue import Queue
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except ImportError:
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from Queue import Queue
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from bases.FrameworkServices.UrlService import UrlService
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# default module values (can be overridden per job in `config`)
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update_every = 5
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METHODS = namedtuple('METHODS', ['get_data', 'url', 'run'])
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NODE_STATS = [
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'indices.search.fetch_current',
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'indices.search.fetch_total',
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'indices.search.query_current',
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'indices.search.query_total',
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'indices.search.query_time_in_millis',
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'indices.search.fetch_time_in_millis',
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'indices.indexing.index_total',
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'indices.indexing.index_current',
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'indices.indexing.index_time_in_millis',
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'indices.refresh.total',
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'indices.refresh.total_time_in_millis',
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'indices.flush.total',
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'indices.flush.total_time_in_millis',
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'indices.translog.operations',
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'indices.translog.size_in_bytes',
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'indices.translog.uncommitted_operations',
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'indices.translog.uncommitted_size_in_bytes',
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'indices.segments.count',
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'indices.segments.terms_memory_in_bytes',
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'indices.segments.stored_fields_memory_in_bytes',
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'indices.segments.term_vectors_memory_in_bytes',
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'indices.segments.norms_memory_in_bytes',
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'indices.segments.points_memory_in_bytes',
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'indices.segments.doc_values_memory_in_bytes',
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'indices.segments.index_writer_memory_in_bytes',
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'indices.segments.version_map_memory_in_bytes',
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'indices.segments.fixed_bit_set_memory_in_bytes',
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'jvm.gc.collectors.young.collection_count',
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'jvm.gc.collectors.old.collection_count',
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'jvm.gc.collectors.young.collection_time_in_millis',
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'jvm.gc.collectors.old.collection_time_in_millis',
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'jvm.mem.heap_used_percent',
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'jvm.mem.heap_used_in_bytes',
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'jvm.mem.heap_committed_in_bytes',
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'jvm.buffer_pools.direct.count',
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'jvm.buffer_pools.direct.used_in_bytes',
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'jvm.buffer_pools.direct.total_capacity_in_bytes',
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'jvm.buffer_pools.mapped.count',
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'jvm.buffer_pools.mapped.used_in_bytes',
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'jvm.buffer_pools.mapped.total_capacity_in_bytes',
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'thread_pool.bulk.queue',
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'thread_pool.bulk.rejected',
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'thread_pool.write.queue',
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'thread_pool.write.rejected',
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'thread_pool.index.queue',
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'thread_pool.index.rejected',
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'thread_pool.search.queue',
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'thread_pool.search.rejected',
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'thread_pool.merge.queue',
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'thread_pool.merge.rejected',
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'indices.fielddata.memory_size_in_bytes',
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'indices.fielddata.evictions',
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'breakers.fielddata.tripped',
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'http.current_open',
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'transport.rx_size_in_bytes',
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'transport.tx_size_in_bytes',
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'process.max_file_descriptors',
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'process.open_file_descriptors'
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]
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CLUSTER_STATS = [
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'nodes.count.data',
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'nodes.count.master',
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'nodes.count.total',
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'nodes.count.coordinating_only',
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'nodes.count.ingest',
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'indices.docs.count',
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'indices.query_cache.hit_count',
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'indices.query_cache.miss_count',
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'indices.store.size_in_bytes',
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'indices.count',
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'indices.shards.total'
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]
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HEALTH_STATS = [
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'number_of_nodes',
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'number_of_data_nodes',
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'number_of_pending_tasks',
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'number_of_in_flight_fetch',
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'active_shards',
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'relocating_shards',
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'unassigned_shards',
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'delayed_unassigned_shards',
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'initializing_shards',
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'active_shards_percent_as_number'
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]
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LATENCY = {
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'query_latency': {
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'total': 'indices_search_query_total',
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'spent_time': 'indices_search_query_time_in_millis'
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},
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'fetch_latency': {
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'total': 'indices_search_fetch_total',
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'spent_time': 'indices_search_fetch_time_in_millis'
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},
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'indexing_latency': {
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'total': 'indices_indexing_index_total',
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'spent_time': 'indices_indexing_index_time_in_millis'
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},
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'flushing_latency': {
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'total': 'indices_flush_total',
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'spent_time': 'indices_flush_total_time_in_millis'
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}
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}
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# charts order (can be overridden if you want less charts, or different order)
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ORDER = [
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'search_performance_total',
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'search_performance_current',
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'search_performance_time',
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'search_latency',
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'index_performance_total',
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'index_performance_current',
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'index_performance_time',
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'index_latency',
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'index_translog_operations',
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'index_translog_size',
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'index_segments_count',
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'index_segments_memory_writer',
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'index_segments_memory',
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'jvm_mem_heap',
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'jvm_mem_heap_bytes',
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'jvm_buffer_pool_count',
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'jvm_direct_buffers_memory',
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'jvm_mapped_buffers_memory',
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'jvm_gc_count',
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'jvm_gc_time',
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'host_metrics_file_descriptors',
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'host_metrics_http',
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'host_metrics_transport',
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'thread_pool_queued',
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'thread_pool_rejected',
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'fielddata_cache',
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'fielddata_evictions_tripped',
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'cluster_health_status',
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'cluster_health_nodes',
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'cluster_health_pending_tasks',
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'cluster_health_flight_fetch',
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'cluster_health_shards',
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'cluster_stats_nodes',
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'cluster_stats_query_cache',
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'cluster_stats_docs',
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'cluster_stats_store',
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'cluster_stats_indices',
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'cluster_stats_shards_total',
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'index_docs_count',
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'index_store_size',
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'index_replica',
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'index_health',
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]
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CHARTS = {
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'search_performance_total': {
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'options': [None, 'Queries And Fetches', 'events/s', 'search performance',
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'elastic.search_performance_total', 'stacked'],
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'lines': [
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['indices_search_query_total', 'queries', 'incremental'],
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['indices_search_fetch_total', 'fetches', 'incremental']
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]
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},
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'search_performance_current': {
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'options': [None, 'Queries and Fetches In Progress', 'events', 'search performance',
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'elastic.search_performance_current', 'stacked'],
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'lines': [
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['indices_search_query_current', 'queries', 'absolute'],
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['indices_search_fetch_current', 'fetches', 'absolute']
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]
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},
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'search_performance_time': {
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'options': [None, 'Time Spent On Queries And Fetches', 'seconds', 'search performance',
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'elastic.search_performance_time', 'stacked'],
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'lines': [
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['indices_search_query_time_in_millis', 'query', 'incremental', 1, 1000],
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['indices_search_fetch_time_in_millis', 'fetch', 'incremental', 1, 1000]
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]
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},
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'search_latency': {
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'options': [None, 'Query And Fetch Latency', 'milliseconds', 'search performance', 'elastic.search_latency',
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'stacked'],
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'lines': [
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['query_latency', 'query', 'absolute', 1, 1000],
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['fetch_latency', 'fetch', 'absolute', 1, 1000]
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]
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},
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'index_performance_total': {
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'options': [None, 'Indexed Documents, Index Refreshes, Index Flushes To Disk', 'events/s',
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'indexing performance', 'elastic.index_performance_total', 'stacked'],
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'lines': [
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['indices_indexing_index_total', 'indexed', 'incremental'],
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['indices_refresh_total', 'refreshes', 'incremental'],
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['indices_flush_total', 'flushes', 'incremental']
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]
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},
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'index_performance_current': {
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'options': [None, 'Number Of Documents Currently Being Indexed', 'currently indexed',
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'indexing performance', 'elastic.index_performance_current', 'stacked'],
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'lines': [
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['indices_indexing_index_current', 'documents', 'absolute']
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]
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},
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'index_performance_time': {
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'options': [None, 'Time Spent On Indexing, Refreshing, Flushing', 'seconds', 'indexing performance',
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'elastic.index_performance_time', 'stacked'],
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'lines': [
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['indices_indexing_index_time_in_millis', 'indexing', 'incremental', 1, 1000],
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['indices_refresh_total_time_in_millis', 'refreshing', 'incremental', 1, 1000],
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['indices_flush_total_time_in_millis', 'flushing', 'incremental', 1, 1000]
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]
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},
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'index_latency': {
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'options': [None, 'Indexing And Flushing Latency', 'milliseconds', 'indexing performance',
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'elastic.index_latency', 'stacked'],
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'lines': [
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['indexing_latency', 'indexing', 'absolute', 1, 1000],
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['flushing_latency', 'flushing', 'absolute', 1, 1000]
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]
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},
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'index_translog_operations': {
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'options': [None, 'Translog Operations', 'operations', 'translog',
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'elastic.index_translog_operations', 'area'],
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'lines': [
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['indices_translog_operations', 'total', 'absolute'],
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['indices_translog_uncommitted_operations', 'uncommited', 'absolute']
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]
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},
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'index_translog_size': {
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'options': [None, 'Translog Size', 'MiB', 'translog',
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'elastic.index_translog_size', 'area'],
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'lines': [
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['indices_translog_size_in_bytes', 'total', 'absolute', 1, 1048567],
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['indices_translog_uncommitted_size_in_bytes', 'uncommited', 'absolute', 1, 1048567]
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]
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},
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'index_segments_count': {
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'options': [None, 'Total Number Of Indices Segments', 'segments', 'indices segments',
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'elastic.index_segments_count', 'line'],
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'lines': [
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['indices_segments_count', 'segments', 'absolute']
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]
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},
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'index_segments_memory_writer': {
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'options': [None, 'Index Writer Memory Usage', 'MiB', 'indices segments',
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'elastic.index_segments_memory_writer', 'area'],
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'lines': [
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['indices_segments_index_writer_memory_in_bytes', 'total', 'absolute', 1, 1048567]
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]
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},
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'index_segments_memory': {
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'options': [None, 'Indices Segments Memory Usage', 'MiB', 'indices segments',
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'elastic.index_segments_memory', 'stacked'],
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'lines': [
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['indices_segments_terms_memory_in_bytes', 'terms', 'absolute', 1, 1048567],
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['indices_segments_stored_fields_memory_in_bytes', 'stored fields', 'absolute', 1, 1048567],
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['indices_segments_term_vectors_memory_in_bytes', 'term vectors', 'absolute', 1, 1048567],
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['indices_segments_norms_memory_in_bytes', 'norms', 'absolute', 1, 1048567],
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['indices_segments_points_memory_in_bytes', 'points', 'absolute', 1, 1048567],
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['indices_segments_doc_values_memory_in_bytes', 'doc values', 'absolute', 1, 1048567],
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['indices_segments_version_map_memory_in_bytes', 'version map', 'absolute', 1, 1048567],
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['indices_segments_fixed_bit_set_memory_in_bytes', 'fixed bit set', 'absolute', 1, 1048567]
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]
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},
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'jvm_mem_heap': {
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'options': [None, 'JVM Heap Percentage Currently in Use', 'percentage', 'memory usage and gc',
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'elastic.jvm_heap', 'area'],
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'lines': [
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['jvm_mem_heap_used_percent', 'inuse', 'absolute']
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]
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},
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'jvm_mem_heap_bytes': {
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'options': [None, 'JVM Heap Commit And Usage', 'MiB', 'memory usage and gc',
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'elastic.jvm_heap_bytes', 'area'],
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'lines': [
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['jvm_mem_heap_committed_in_bytes', 'commited', 'absolute', 1, 1048576],
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['jvm_mem_heap_used_in_bytes', 'used', 'absolute', 1, 1048576]
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]
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},
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'jvm_buffer_pool_count': {
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'options': [None, 'JVM Buffers', 'pools', 'memory usage and gc',
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'elastic.jvm_buffer_pool_count', 'line'],
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'lines': [
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['jvm_buffer_pools_direct_count', 'direct', 'absolute'],
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['jvm_buffer_pools_mapped_count', 'mapped', 'absolute']
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]
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},
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'jvm_direct_buffers_memory': {
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'options': [None, 'JVM Direct Buffers Memory', 'MiB', 'memory usage and gc',
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'elastic.jvm_direct_buffers_memory', 'area'],
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'lines': [
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['jvm_buffer_pools_direct_used_in_bytes', 'used', 'absolute', 1, 1048567],
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['jvm_buffer_pools_direct_total_capacity_in_bytes', 'total capacity', 'absolute', 1, 1048567]
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]
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},
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'jvm_mapped_buffers_memory': {
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'options': [None, 'JVM Mapped Buffers Memory', 'MiB', 'memory usage and gc',
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'elastic.jvm_mapped_buffers_memory', 'area'],
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'lines': [
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['jvm_buffer_pools_mapped_used_in_bytes', 'used', 'absolute', 1, 1048567],
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['jvm_buffer_pools_mapped_total_capacity_in_bytes', 'total capacity', 'absolute', 1, 1048567]
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]
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},
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'jvm_gc_count': {
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'options': [None, 'Garbage Collections', 'events/s', 'memory usage and gc', 'elastic.gc_count', 'stacked'],
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'lines': [
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['jvm_gc_collectors_young_collection_count', 'young', 'incremental'],
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['jvm_gc_collectors_old_collection_count', 'old', 'incremental']
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]
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},
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'jvm_gc_time': {
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'options': [None, 'Time Spent On Garbage Collections', 'milliseconds', 'memory usage and gc',
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'elastic.gc_time', 'stacked'],
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'lines': [
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['jvm_gc_collectors_young_collection_time_in_millis', 'young', 'incremental'],
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['jvm_gc_collectors_old_collection_time_in_millis', 'old', 'incremental']
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]
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},
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'thread_pool_queued': {
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'options': [None, 'Number Of Queued Threads In Thread Pool', 'queued threads', 'queues and rejections',
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'elastic.thread_pool_queued', 'stacked'],
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'lines': [
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['thread_pool_bulk_queue', 'bulk', 'absolute'],
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['thread_pool_write_queue', 'write', 'absolute'],
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['thread_pool_index_queue', 'index', 'absolute'],
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['thread_pool_search_queue', 'search', 'absolute'],
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['thread_pool_merge_queue', 'merge', 'absolute']
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]
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},
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'thread_pool_rejected': {
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'options': [None, 'Rejected Threads In Thread Pool', 'rejected threads', 'queues and rejections',
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'elastic.thread_pool_rejected', 'stacked'],
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'lines': [
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['thread_pool_bulk_rejected', 'bulk', 'absolute'],
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['thread_pool_write_rejected', 'write', 'absolute'],
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['thread_pool_index_rejected', 'index', 'absolute'],
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['thread_pool_search_rejected', 'search', 'absolute'],
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['thread_pool_merge_rejected', 'merge', 'absolute']
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]
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},
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'fielddata_cache': {
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'options': [None, 'Fielddata Cache', 'MiB', 'fielddata cache', 'elastic.fielddata_cache', 'line'],
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'lines': [
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['indices_fielddata_memory_size_in_bytes', 'cache', 'absolute', 1, 1048576]
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]
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},
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'fielddata_evictions_tripped': {
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'options': [None, 'Fielddata Evictions And Circuit Breaker Tripped Count', 'events/s',
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'fielddata cache', 'elastic.fielddata_evictions_tripped', 'line'],
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'lines': [
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['indices_fielddata_evictions', 'evictions', 'incremental'],
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['indices_fielddata_tripped', 'tripped', 'incremental']
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]
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},
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'cluster_health_nodes': {
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'options': [None, 'Nodes Statistics', 'nodes', 'cluster health API',
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'elastic.cluster_health_nodes', 'area'],
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'lines': [
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['number_of_nodes', 'nodes', 'absolute'],
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['number_of_data_nodes', 'data_nodes', 'absolute'],
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]
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},
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'cluster_health_pending_tasks': {
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'options': [None, 'Tasks Statistics', 'tasks', 'cluster health API',
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'elastic.cluster_health_pending_tasks', 'line'],
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'lines': [
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['number_of_pending_tasks', 'pending_tasks', 'absolute'],
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]
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},
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'cluster_health_flight_fetch': {
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'options': [None, 'In Flight Fetches Statistics', 'fetches', 'cluster health API',
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'elastic.cluster_health_flight_fetch', 'line'],
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'lines': [
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['number_of_in_flight_fetch', 'in_flight_fetch', 'absolute']
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]
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},
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'cluster_health_status': {
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'options': [None, 'Cluster Status', 'status', 'cluster health API',
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'elastic.cluster_health_status', 'area'],
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'lines': [
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['status_green', 'green', 'absolute'],
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['status_red', 'red', 'absolute'],
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['status_yellow', 'yellow', 'absolute']
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]
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},
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'cluster_health_shards': {
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'options': [None, 'Shards Statistics', 'shards', 'cluster health API',
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'elastic.cluster_health_shards', 'stacked'],
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'lines': [
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['active_shards', 'active_shards', 'absolute'],
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['relocating_shards', 'relocating_shards', 'absolute'],
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['unassigned_shards', 'unassigned', 'absolute'],
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['delayed_unassigned_shards', 'delayed_unassigned', 'absolute'],
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['initializing_shards', 'initializing', 'absolute'],
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['active_shards_percent_as_number', 'active_percent', 'absolute']
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]
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},
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'cluster_stats_nodes': {
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'options': [None, 'Nodes Statistics', 'nodes', 'cluster stats API',
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'elastic.cluster_nodes', 'area'],
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'lines': [
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['nodes_count_data', 'data', 'absolute'],
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['nodes_count_master', 'master', 'absolute'],
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['nodes_count_total', 'total', 'absolute'],
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['nodes_count_ingest', 'ingest', 'absolute'],
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['nodes_count_coordinating_only', 'coordinating_only', 'absolute']
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]
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},
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'cluster_stats_query_cache': {
|
|
'options': [None, 'Query Cache Statistics', 'queries', 'cluster stats API',
|
|
'elastic.cluster_query_cache', 'stacked'],
|
|
'lines': [
|
|
['indices_query_cache_hit_count', 'hit', 'incremental'],
|
|
['indices_query_cache_miss_count', 'miss', 'incremental']
|
|
]
|
|
},
|
|
'cluster_stats_docs': {
|
|
'options': [None, 'Docs Statistics', 'docs', 'cluster stats API',
|
|
'elastic.cluster_docs', 'line'],
|
|
'lines': [
|
|
['indices_docs_count', 'docs', 'absolute']
|
|
]
|
|
},
|
|
'cluster_stats_store': {
|
|
'options': [None, 'Store Statistics', 'MiB', 'cluster stats API',
|
|
'elastic.cluster_store', 'line'],
|
|
'lines': [
|
|
['indices_store_size_in_bytes', 'size', 'absolute', 1, 1048567]
|
|
]
|
|
},
|
|
'cluster_stats_indices': {
|
|
'options': [None, 'Indices Statistics', 'indices', 'cluster stats API',
|
|
'elastic.cluster_indices', 'line'],
|
|
'lines': [
|
|
['indices_count', 'indices', 'absolute'],
|
|
]
|
|
},
|
|
'cluster_stats_shards_total': {
|
|
'options': [None, 'Total Shards Statistics', 'shards', 'cluster stats API',
|
|
'elastic.cluster_shards_total', 'line'],
|
|
'lines': [
|
|
['indices_shards_total', 'shards', 'absolute']
|
|
]
|
|
},
|
|
'host_metrics_transport': {
|
|
'options': [None, 'Cluster Communication Transport Metrics', 'kilobit/s', 'host metrics',
|
|
'elastic.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', 'percentage', 'host metrics',
|
|
'elastic.host_descriptors', 'area'],
|
|
'lines': [
|
|
['file_descriptors_used', 'used', 'absolute', 1, 10]
|
|
]
|
|
},
|
|
'host_metrics_http': {
|
|
'options': [None, 'Opened HTTP Connections', 'connections', 'host metrics',
|
|
'elastic.host_http_connections', 'line'],
|
|
'lines': [
|
|
['http_current_open', 'opened', 'absolute', 1, 1]
|
|
]
|
|
},
|
|
'index_docs_count': {
|
|
'options': [None, 'Docs Count', 'count', 'indices', 'elastic.index_docs', 'line'],
|
|
'lines': []
|
|
},
|
|
'index_store_size': {
|
|
'options': [None, 'Store Size', 'bytes', 'indices', 'elastic.index_store_size', 'line'],
|
|
'lines': []
|
|
},
|
|
'index_replica': {
|
|
'options': [None, 'Replica', 'count', 'indices', 'elastic.index_replica', 'line'],
|
|
'lines': []
|
|
},
|
|
'index_health': {
|
|
'options': [None, 'Health', 'status', 'indices', 'elastic.index_health', 'line'],
|
|
'lines': []
|
|
},
|
|
}
|
|
|
|
|
|
def convert_index_store_size_to_bytes(size):
|
|
# can be b, kb, mb, gb
|
|
if size.endswith('kb'):
|
|
return round(float(size[:-2]) * 1024)
|
|
elif size.endswith('mb'):
|
|
return round(float(size[:-2]) * 1024 * 1024)
|
|
elif size.endswith('gb'):
|
|
return round(float(size[:-2]) * 1024 * 1024 * 1024)
|
|
elif size.endswith('b'):
|
|
return round(float(size[:-1]))
|
|
return -1
|
|
|
|
|
|
def convert_index_health(health):
|
|
if health == 'green':
|
|
return 0
|
|
elif health == 'yellow':
|
|
return 1
|
|
elif health == 'read':
|
|
return 2
|
|
return -1
|
|
|
|
|
|
def get_survive_any(method):
|
|
def w(*args):
|
|
try:
|
|
method(*args)
|
|
except Exception as error:
|
|
self, queue, url = args[0], args[1], args[2]
|
|
self.error("error during '{0}' : {1}".format(url, error))
|
|
queue.put(dict())
|
|
|
|
return w
|
|
|
|
|
|
class Service(UrlService):
|
|
def __init__(self, configuration=None, name=None):
|
|
UrlService.__init__(self, configuration=configuration, name=name)
|
|
self.order = ORDER
|
|
self.definitions = CHARTS
|
|
self.host = self.configuration.get('host')
|
|
self.port = self.configuration.get('port', 9200)
|
|
self.url = '{scheme}://{host}:{port}'.format(
|
|
scheme=self.configuration.get('scheme', 'http'),
|
|
host=self.host,
|
|
port=self.port,
|
|
)
|
|
self.latency = dict()
|
|
self.methods = list()
|
|
self.collected_indices = set()
|
|
|
|
def check(self):
|
|
if not self.host:
|
|
self.error('Host is not defined in the module configuration file')
|
|
return False
|
|
|
|
try:
|
|
self.host = gethostbyname(self.host)
|
|
except gaierror as error:
|
|
self.error(repr(error))
|
|
return False
|
|
|
|
self.methods = [
|
|
METHODS(
|
|
get_data=self._get_node_stats,
|
|
url=self.url + '/_nodes/_local/stats',
|
|
run=self.configuration.get('node_stats', True),
|
|
),
|
|
METHODS(
|
|
get_data=self._get_cluster_health,
|
|
url=self.url + '/_cluster/health',
|
|
run=self.configuration.get('cluster_health', True)
|
|
),
|
|
METHODS(
|
|
get_data=self._get_cluster_stats,
|
|
url=self.url + '/_cluster/stats',
|
|
run=self.configuration.get('cluster_stats', True),
|
|
),
|
|
METHODS(
|
|
get_data=self._get_indices,
|
|
url=self.url + '/_cat/indices?format=json',
|
|
run=self.configuration.get('indices_stats', False),
|
|
),
|
|
]
|
|
return UrlService.check(self)
|
|
|
|
def _get_data(self):
|
|
threads = list()
|
|
queue = Queue()
|
|
result = dict()
|
|
|
|
for method in self.methods:
|
|
if not method.run:
|
|
continue
|
|
th = threading.Thread(
|
|
target=method.get_data,
|
|
args=(queue, method.url),
|
|
)
|
|
th.daemon = True
|
|
th.start()
|
|
threads.append(th)
|
|
|
|
for thread in threads:
|
|
thread.join()
|
|
result.update(queue.get())
|
|
|
|
return result or None
|
|
|
|
def add_index_to_charts(self, idx_name):
|
|
for name in ('index_docs_count', 'index_store_size', 'index_replica', 'index_health'):
|
|
chart = self.charts[name]
|
|
dim = ['{0}_{1}'.format(idx_name, name), idx_name]
|
|
chart.add_dimension(dim)
|
|
|
|
@get_survive_any
|
|
def _get_indices(self, queue, url):
|
|
# [
|
|
# {
|
|
# "pri.store.size": "650b",
|
|
# "health": "yellow",
|
|
# "status": "open",
|
|
# "index": "twitter",
|
|
# "pri": "5",
|
|
# "rep": "1",
|
|
# "docs.count": "10",
|
|
# "docs.deleted": "3",
|
|
# "store.size": "650b"
|
|
# }
|
|
# ]
|
|
raw_data = self._get_raw_data(url)
|
|
if not raw_data:
|
|
return queue.put(dict())
|
|
|
|
indices = self.json_parse(raw_data)
|
|
if not indices:
|
|
return queue.put(dict())
|
|
|
|
charts_initialized = len(self.charts) != 0
|
|
data = dict()
|
|
for idx in indices:
|
|
try:
|
|
name = idx['index']
|
|
is_system_index = name.startswith('.')
|
|
if is_system_index:
|
|
continue
|
|
|
|
v = {
|
|
'{0}_index_docs_count'.format(name): idx['docs.count'],
|
|
'{0}_index_replica'.format(name): idx['rep'],
|
|
'{0}_index_health'.format(name): convert_index_health(idx['health']),
|
|
}
|
|
size = convert_index_store_size_to_bytes(idx['store.size'])
|
|
if size != -1:
|
|
v['{0}_index_store_size'.format(name)] = size
|
|
except KeyError as error:
|
|
self.debug("error on parsing index : {0}".format(repr(error)))
|
|
continue
|
|
|
|
data.update(v)
|
|
if name not in self.collected_indices and charts_initialized:
|
|
self.collected_indices.add(name)
|
|
self.add_index_to_charts(name)
|
|
|
|
return queue.put(data)
|
|
|
|
@get_survive_any
|
|
def _get_cluster_health(self, queue, url):
|
|
raw = self._get_raw_data(url)
|
|
if not raw:
|
|
return queue.put(dict())
|
|
|
|
parsed = self.json_parse(raw)
|
|
if not parsed:
|
|
return queue.put(dict())
|
|
|
|
data = fetch_data(raw_data=parsed, metrics=HEALTH_STATS)
|
|
dummy = {
|
|
'status_green': 0,
|
|
'status_red': 0,
|
|
'status_yellow': 0,
|
|
}
|
|
data.update(dummy)
|
|
current_status = 'status_' + parsed['status']
|
|
data[current_status] = 1
|
|
|
|
return queue.put(data)
|
|
|
|
@get_survive_any
|
|
def _get_cluster_stats(self, queue, url):
|
|
raw = self._get_raw_data(url)
|
|
if not raw:
|
|
return queue.put(dict())
|
|
|
|
parsed = self.json_parse(raw)
|
|
if not parsed:
|
|
return queue.put(dict())
|
|
|
|
data = fetch_data(raw_data=parsed, metrics=CLUSTER_STATS)
|
|
|
|
return queue.put(data)
|
|
|
|
@get_survive_any
|
|
def _get_node_stats(self, queue, url):
|
|
raw = self._get_raw_data(url)
|
|
if not raw:
|
|
return queue.put(dict())
|
|
|
|
parsed = self.json_parse(raw)
|
|
if not parsed:
|
|
return queue.put(dict())
|
|
|
|
node = list(parsed['nodes'].keys())[0]
|
|
data = fetch_data(raw_data=parsed['nodes'][node], metrics=NODE_STATS)
|
|
|
|
# Search, index, flush, fetch performance latency
|
|
for key in LATENCY:
|
|
try:
|
|
data[key] = self.find_avg(
|
|
total=data[LATENCY[key]['total']],
|
|
spent_time=data[LATENCY[key]['spent_time']],
|
|
key=key)
|
|
except KeyError:
|
|
continue
|
|
if 'process_open_file_descriptors' in data and 'process_max_file_descriptors' in data:
|
|
v = float(data['process_open_file_descriptors']) / data['process_max_file_descriptors'] * 1000
|
|
data['file_descriptors_used'] = round(v)
|
|
|
|
return queue.put(data)
|
|
|
|
def json_parse(self, reply):
|
|
try:
|
|
return json.loads(reply)
|
|
except ValueError as err:
|
|
self.error(err)
|
|
return None
|
|
|
|
def find_avg(self, total, spent_time, key):
|
|
if key not in self.latency:
|
|
self.latency[key] = dict(total=total, spent_time=spent_time)
|
|
return 0
|
|
|
|
if self.latency[key]['total'] != total:
|
|
spent_diff = spent_time - self.latency[key]['spent_time']
|
|
total_diff = total - self.latency[key]['total']
|
|
latency = float(spent_diff) / float(total_diff) * 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):
|
|
data = dict()
|
|
for metric in metrics:
|
|
value = raw_data
|
|
metrics_list = metric.split('.')
|
|
try:
|
|
for m in metrics_list:
|
|
value = value[m]
|
|
except (KeyError, TypeError):
|
|
continue
|
|
data['_'.join(metrics_list)] = value
|
|
return data
|