elasticarch的查询_nodesstats各字段意思
/_nodes/stats 字段意思 “”
1 {
2 "_nodes": {
3"total": 1,
4"successful": 1,
5"failed": 0
6 },
7"cluster_name": "ELKTEST",
8"nodes": {
9"lnlHC8yERCKXCuAc_2DPCQ": {
10"timestamp": 1534242595995,
11"name": "OPS01-ES01",
12"transport_address": "10.9.125.148:9300",
13"host": "10.9.125.148",
14"ip": "10.9.125.148:9300",
15"roles": [
16"master",
17"data",
18"ingest"
19 ],
20"attributes": {
21"ml.machine_memory": "8203104256",
22"xpack.installed": "true",
23"ml.max_open_jobs": "20",
abled": "true"
25 },
26"indices": {
27"docs": {
28"count": 8111612, # 显⽰节点上有多少⽂档
29"deleted": 16604 # 有多少已删除的⽂档还未从数据段中删除
30 },
31"store": {
32"size_in_bytes": 2959876263 # 显⽰该节点消耗了多少物理存储
33 },
34"indexing": { #表⽰索引⽂档的次数，这个是通过⼀个计数器累加计数的。当⽂档被删除时，它不会减少。注意这个值永远是递增的，发⽣在内部索引数据的时候，包括那些更新操作
35"index_total": 17703152,
36"index_time_in_millis": 2801934,
37"index_current": 0,
38"index_failed": 0,
39"delete_total": 46242,
40"delete_time_in_millis": 2130,
41"delete_current": 0,
42"noop_update_total": 0,
43"is_throttled": fal,
44"throttle_time_in_millis": 0 # 这个值⾼的时候，说明磁盘流量设置太低
45 },
46"get": {
47"total": 185179,
48"time_in_millis": 22341,
49"exists_total": 185178,
50"exists_time_in_millis": 22337,
51"missing_total": 1,
52"missing_time_in_millis": 4,
53"current": 0
54 },
55"arch": {
56"open_contexts": 0, # 主动检索的次数，
57"query_total": 495447, # 查询总数
58"query_time_in_millis": 298344, # 节点启动到此查询消耗总时间， query_time_in_millis / query_total的⽐值可以作为你的查询效率的粗略指标。⽐值越⼤，每个查询⽤的时间越多，你就需要考虑调整或者优化。
59"query_current": 0,
#后⾯关于fetch的统计，是描述了查询的第⼆个过程（也就是query_the_fetch⾥的fetch)。fetch花的时间⽐query的越多，表⽰你的磁盘很慢，或者你要fetch的的⽂档太多。或者你的查询参数分页条件太⼤，（例如size等于1万
60"fetch_total": 130194,
61"fetch_time_in_millis": 51211,
62"fetch_current": 0,
63"scroll_total": 22,
64"scroll_time_in_millis": 2196665,
65"scroll_current": 0,
66"suggest_total": 0,
67"suggest_time_in_millis": 0,
68"suggest_current": 0
69 },
70"merges": { # 包含lucene段合并的信息，它会告诉你有多少段合并正在进⾏，参与的⽂档数，这些正在合并的段的总⼤⼩，以及花在merge上的总时间。
如果你的集群写⼊⽐较多，这个merge的统计信息就很重要。merge操作会消耗⼤量的磁盘io和cpu资源。如果你的索引写⼊很多，你会看到⼤量的merge操作
71"current": 0,
72"current_docs": 0,
73"current_size_in_bytes": 0,
繁华都市74"total": 68341,
75"total_time_in_millis": 18490611,
76"total_docs": 1016579669,
77"total_size_in_bytes": 344453480895,
78"total_stopped_time_in_millis": 0,
79"total_throttled_time_in_millis": 1557,
80"total_auto_throttle_in_bytes": 4345437596
81 },
82"refresh": {
83"total": 729643,
84"total_time_in_millis": 7843558,
85"listeners": 0
86 },
87"flush": {
88"total": 5161,
89"periodic": 12,
90"total_time_in_millis": 53116
91 },
92"warmer": {
93"current": 0,
94"total": 718343,
95"total_time_in_millis": 38069
96 },
97"query_cache": {
98"memory_size_in_bytes": 0,
99"total_count": 0,
100"hit_count": 0,
101"miss_count": 0,
102"cache_size": 0,
103"cache_count": 0,
104"evictions": 0
105 },
106"fielddata": { #显⽰了fielddata使⽤的内存，fielddata⽤于聚合、排序等。这⾥也有⼀个淘汰数，不像filter_cache，这⾥的淘汰数很有⽤，它必须是0或者接近0，因为fielddata 不是缓存，任何淘汰的代价都是很⼤的，必须要避免的。如果你107"memory_size_in_bytes": 25312,
108"evictions": 0
109 },
110"completion": {
111"size_in_bytes": 0
112 },
113"gments": { 告诉你当前节点的lucene 段的个数，这可能是⼀个很重要的数字。⼤多数的索引应该在50到150个段左右，即便是⼏T⼤⼩的数⼗亿的⽂档。⼤量的段会带来合并的问题（例如：合并赶
不上段的产⽣）。注意这个统计是对⼀个 其中内存的统计，可以告诉你Lucene的段⾃⾝需要多少内存。这⾥包括基础的数据结构，包括提交列表，词典，bloom过滤器等。段的数量多会增加承载这些数据结构的开销，这个内存的使⽤就是对这个开销的度量。
村委会委员
114"count": 1171,
115"memory_in_bytes": 17486054,
116"terms_memory_in_bytes": 11679054, 117"stored_fields_memory_in_bytes": 1628744, 118"term_vectors_memory_in_bytes": 0, 119"norms_memory_in_bytes": 1017280, 120"points_memory_in_bytes": 745044,
121"doc_values_memory_in_bytes": 2415932, 122"index_writer_memory_in_bytes": 42232420, 123"version_map_memory_in_bytes": 10812921, 124"fixed_bit_t_memory_in_bytes": 148136, 125"max_unsafe_auto_id_timestamp": 1534205010926, 126"file_sizes": {}
127 },
128"translog": {
129"operations": 2422069,
130"size_in_bytes": 2187759163, 131"uncommitted_operations": 1092028, 132"uncommitted_size_in_bytes": 1116860690, 133"earliest_last_modified_age": 0
134 },
135"request_cache": {
136"memory_size_in_bytes": 524054, 137"evictions": 0,
138"hit_count": 157346,
139"miss_count": 15441
140 },
141"recovery": {
142"current_as_source": 0,
143"current_as_target": 0,
144"throttle_time_in_millis": 0
145 }
146 },
147"os": {
148"timestamp": 1534242596057,
149"cpu": {
150"percent": 7,
151"load_average": {
152"1m": 0.02,
153"5m": 0.05,
154"15m": 0.12
155 }
156 },
157"mem": {
158"total_in_bytes": 8203104256,承包合同书样本
159"free_in_bytes": 147980288,
160"ud_in_bytes": 8055123968,
161"free_percent": 2,
162"ud_percent": 98
163 },
164"swap": {
165"total_in_bytes": 536866816,
166"free_in_bytes": 531492864,
167"ud_in_bytes": 5373952
168 },
169"cgroup": {
170"cpuacct": {
171"control_group": "/",
172"usage_nanos": 47396754950801
173 },
174"cpu": {
175"control_group": "/",
176"cfs_period_micros": 100000,
177"cfs_quota_micros": -1,
178"stat": {
179"number_of_elapd_periods": 0, 180"number_of_times_throttled": 0,
181"time_throttled_nanos": 0
182 }
183 },
184"memory": {
185"control_group": "/",
186"limit_in_bytes": "9223372036854775807", 187"usage_in_bytes": "7463514112"
188 }
189 }
190 },
191"process": {
192"timestamp": 1534242596058,
193"open_file_descriptors": 1317,
194"max_file_descriptors": 65536,
195"cpu": {
196"percent": 7,
197"total_in_millis": 44676020
198 },
199"mem": {
200"total_virtual_in_bytes": 12394913792
201 }
202 },
203"jvm": {
204"timestamp": 1534242596059,
205"uptime_in_millis": 463947765,
206"mem": {
207"heap_ud_in_bytes": 1039819544,
208"heap_ud_percent": 19,
209"heap_committed_in_bytes": 5333843968, 210"heap_max_in_bytes": 5333843968,
211"non_heap_ud_in_bytes": 186193160, 212"non_heap_committed_in_bytes": 198041600, 213"pools": {
214"young": {
215"ud_in_bytes": 179829784,
216"max_in_bytes": 279183360,
217"peak_ud_in_bytes": 279183360, 218"peak_max_in_bytes": 279183360
219 },
220"survivor": {
描写老师的段落221"ud_in_bytes": 10640952,
222"max_in_bytes": 34865152,
223"peak_ud_in_bytes": 34865152,
224"peak_max_in_bytes": 34865152
225 },
226"old": {
227"ud_in_bytes": 849348808,
228"max_in_bytes": 5019795456,
229"peak_ud_in_bytes": 3773164872, 230"peak_max_in_bytes": 5019795456
231 }
232 }
233 },
234"threads": {
235"count": 118,
236"peak_count": 122
237 },
238"gc": {
239"collectors": {
240"young": {
241"collection_count": 92158, 242"collection_time_in_millis": 1728982 243 },
农业投入品244"old": {
245"collection_count": 19, 246"collection_time_in_millis": 2384 247 }
248 }
249 },
250"buffer_pools": {
251"direct": {
252"count": 45,
253"ud_in_bytes": 135044601, 254"total_capacity_in_bytes": 135044600 255 },
256"mapped": {
257"count": 2827,
258"ud_in_bytes": 2924840579, 259"total_capacity_in_bytes": 2924840579 260 }
261 },
262"class": {
263"current_loaded_count": 17649, 264"total_loaded_count": 17806, 265"total_unloaded_count": 157
266 }
267 },
268"thread_pool": {
269"analyze": {
270"threads": 0,
271"queue": 0,
272"active": 0,
273"rejected": 0,
274"largest": 0,
275"completed": 0
276 },
277"fetch_shard_started": { 278"threads": 0,
279"queue": 0,
280"active": 0,
281"rejected": 0,
282"largest": 0,
283"completed": 0
284 },
285"fetch_shard_store": { 286"threads": 0,
287"queue": 0,
288"active": 0,
289"rejected": 0,
290"largest": 0,
291"completed": 0
292 },
293"flush": {
294"threads": 2,
295"queue": 0,
296"active": 0,
297"rejected": 0,
298"largest": 2,
299"completed": 10481
300 },
301"force_merge": {
302"threads": 0,
303"queue": 0,
304"active": 0,
305"rejected": 0,
306"largest": 0,
307"completed": 0
308 },
309"generic": {
310"threads": 7,
311"queue": 0,
312"active": 0,
313"rejected": 0,
314"largest": 7,
315"completed": 1252071
316 },
317"get": {
318"threads": 4,
319"queue": 0,
320"active": 0,
321"rejected": 0,
322"largest": 4,
323"completed": 138926
324 },
325"index": {
326"threads": 4,
327"queue": 0,
328"active": 0,
329"rejected": 0,
330"largest": 4,
331"completed": 46253
332 },
333"listener": {
334"threads": 2,
335"queue": 0,
336"active": 0,
337"rejected": 0,
338"largest": 2,
339"completed": 16
340 },
341"management": {
342"threads": 5,
343"queue": 0,
344"active": 1,
345"rejected": 0,
346"largest": 5,
347"completed": 802281
348 },
349"ml_autodetect": { 350"threads": 0,
351"queue": 0,
352"active": 0,
353"rejected": 0,
354"largest": 0,
355"completed": 0
356 },
357"ml_datafeed": {
358"threads": 0,
359"queue": 0,
360"active": 0,
361"rejected": 0,
362"largest": 0,
363"completed": 0
364 },
365"ml_utility": {
366"threads": 25,
367"queue": 0,
368"active": 0,
369"rejected": 0,
370"largest": 25,
371"completed": 25
372 },
373"refresh": {
374"threads": 2,
375"queue": 0,
376"active": 1,
377"rejected": 0,
378"largest": 2,
379"completed": 16523282
380 },
381"rollup_indexing": {
382"threads": 0,
383"queue": 0,
384"active": 0,
385"rejected": 0,
386"largest": 0,
387"completed": 0
388 },
389"arch": {
390"threads": 7,
391"queue": 0,
392"active": 0,
393"rejected": 0,
394"largest": 7,
395"completed": 722194
396 },
397"curity-token-key": { 398"threads": 0,
399"queue": 0,
400"active": 0,
401"rejected": 0,
402"largest": 0,
403"completed": 0
404 },
405"snapshot": {
406"threads": 0,
407"queue": 0,
408"active": 0,
409"rejected": 0,
410"largest": 0,
411"completed": 0
412 },
413"warmer": {
414"threads": 2,
415"queue": 0,
416"active": 0,
417"rejected": 0,
418"largest": 2,练功
419"completed": 389633
420 },
421"watcher": {
422"threads": 20,
423"queue": 0,
424"active": 0,
425"rejected": 0,
426"largest": 20,
427"completed": 46242
428 },
429"write": {
430"threads": 4,
431"queue": 0,
432"active": 0,
433"rejected": 0,
434"largest": 4,
435"completed": 1162801
436 }
437 },
438"fs": {
439"timestamp": 1534242596059, 440"total": {
441"total_in_bytes": 321965260800, 442"free_in_bytes": 316715397120, 443"available_in_bytes": 316715397120
444 },
445"least_usage_estimate": { 446"path": "/data/elasticarch/data/nodes/0", 447"total_in_bytes": 321965260800, 448"available_in_bytes": 316714684416, 449"ud_disk_percent": 1.63078972276503 450 },
451"most_usage_estimate": { 452"path": "/data/elasticarch/data/nodes/0", 453"total_in_bytes": 321965260800, 454"available_in_bytes": 316714684416, 455"ud_disk_percent": 1.63078972276503 456 },
457"data": [
458 {
459"path": "/data/elasticarch/data/nodes/0", 460"mount": "/data (/dev/vdb)", 461"type": "xfs",
462"total_in_bytes": 321965260800, 463"free_in_bytes": 316715397120, 464"available_in_bytes": 316715397120
465 }
466 ],
467"io_stats": {
468"devices": [
469 {
470"device_name": "vdb", 471"operations": 7009127,
472"read_operations": 43871,
473"write_operations": 6965256, 474"read_kilobytes": 789805,
475"write_kilobytes": 384479626
476 }
477 ],
478"total": {
479"operations": 7009127,白燕窝
480"read_operations": 43871,
481"write_operations": 6965256, 482"read_kilobytes": 789805,
483"write_kilobytes": 384479626
484 }
485 }
486 },
487"transport": {
488"rver_open": 0,
489"rx_count": 10,
490"rx_size_in_bytes": 5428,
491"tx_count": 10,
492"tx_size_in_bytes": 5428
493 },
494"http": {
495"current_open": 23,便秘不能吃什么
496"total_opened": 2739
497 },
498"breakers": {
499"request": {
500"limit_size_in_bytes": 3200306380, 501"limit_size": "2.9gb", 502"estimated_size_in_bytes": 0, 503"estimated_size": "0b", 504"overhead": 1,
505"tripped": 0
506 },
507"fielddata": {
508"limit_size_in_bytes": 3200306380, 509"limit_size": "2.9gb", 510"estimated_size_in_bytes": 25312, 511"estimated_size": "24.7kb", 512"overhead": 1.03, 513"tripped": 0
514 },
515"in_flight_requests": {
516"limit_size_in_bytes": 5333843968, 517"limit_size": "4.9gb", 518"estimated_size_in_bytes": 0, 519"estimated_size": "0b", 520"overhead": 1,
521"tripped": 0
522 },
523"accounting": {
524"limit_size_in_bytes": 5333843968, 525"limit_size": "4.9gb", 526"estimated_size_in_bytes": 1748
6054, 527"estimated_size": "16.6mb", 528"overhead": 1,
529"tripped": 0
530 },
531"parent": {
532"limit_size_in_bytes": 3733690777, 533"limit_size": "3.4gb", 534"estimated_size_in_bytes": 17511366, 535"estimated_size": "16.7mb", 536"overhead": 1,
537"tripped": 0
538 }
539 },
540"script": {
541"compilations": 27,
542"cache_evictions": 0
543 },
544"discovery": {
545"cluster_state_queue": { 546"total": 0,
547"pending": 0, 548"committed": 0
549 },
550"published_cluster_states": { 551"full_states": 0, 552"incompatible_diffs": 0, 553"compatible_diffs": 0
554 }
555 },
556"ingest": {
557"total": {
558"count": 0,
559"time_in_millis": 0, 560"current": 0,
561"failed": 0
562 },
563"pipelines": {
564"xpack_monitoring_6": { 565"count": 0,
566"time_in_millis": 0, 567"current": 0,
568"failed": 0
569 },
570"xpack_monitoring_2": { 571"count": 0,
572"time_in_millis": 0, 573"current": 0,
574"failed": 0
575 }
576 }
577 },
578"adaptive_lection": {
579"lnlHC8yERCKXCuAc_2DPCQ": { 580"outgoing_arches": 0,
581"avg_queue_size": 0,
582"avg_rvice_time_ns": 61180, 583"avg_respon_time_ns": 326251, 584"rank": "0.3"
585 }
586 }
587 }
588 }
589 }
