需求：比如有一个网站，记录下了每次请求的访问的耗时，需要统计tp50，tp90，tp99
tp50：50%的请求的耗时最长在多长时间
tp90：90%的请求的耗时最长在多长时间
tp99：99%的请求的耗时最长在多长时间
建立mappings
| PUT /website { "mappings": { "logs": { "properties": { "latency": {//响应时间 "type": "long" }, "province": { "type": "keyword"//不分词 }, "timestamp": { "type": "date" } } } } } |
添加测试数据
| POST /website/logs/_bulk { "index": {}} { "latency" : 105, "province" : "江苏", "timestamp" : "2016-10-28" } { "index": {}} { "latency" : 83, "province" : "江苏", "timestamp" : "2016-10-29" } { "index": {}} { "latency" : 92, "province" : "江苏", "timestamp" : "2016-10-29" } { "index": {}} { "latency" : 112, "province" : "江苏", "timestamp" : "2016-10-28" } { "index": {}} { "latency" : 68, "province" : "江苏", "timestamp" : "2016-10-28" } { "index": {}} { "latency" : 76, "province" : "江苏", "timestamp" : "2016-10-29" } { "index": {}} { "latency" : 101, "province" : "新疆", "timestamp" : "2016-10-28" } { "index": {}} { "latency" : 275, "province" : "新疆", "timestamp" : "2016-10-29" } { "index": {}} { "latency" : 166, "province" : "新疆", "timestamp" : "2016-10-29" } { "index": {}} { "latency" : 654, "province" : "新疆", "timestamp" : "2016-10-28" } { "index": {}} { "latency" : 389, "province" : "新疆", "timestamp" : "2016-10-28" } { "index": {}} { "latency" : 302, "province" : "新疆", "timestamp" : "2016-10-29" }
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测试----网站50%，90%，99%的访问耗时最大值
pencentiles
| GET /website/logs/_search { "size": 0, "aggs": { "latency_percentiles": { "percentiles": { "field": "latency", "percents": [ 50, 75, 95, 99 ] } }, "latency_avg":{ "avg": { "field": "latency" } } } } 结果： { "took": 1, "timed_out": false, "_shards": { "total": 5, "successful": 5, "failed": 0 }, "hits": { "total": 12, "max_score": 0, "hits": [] }, "aggregations": { "latency_avg": { "value": 201.91666666666666 }, "latency_percentiles": { "values": { "50.0": 108.5, "75.0": 281.75, "95.0": 508.24999999999983, "99.0": 624.8500000000001 } } } } |
50%的请求的耗时最长在多长时间：50%的请求，数值的最大的值是多少，但是这不是完全准确的
测试----哪个省份访问的时长比较长
| GET /website/logs/_search { "size": 0, "aggs": { "group_by_province":{ "terms": { "field": "province" }, "aggs": { "latency_percentiles": { "percentiles": { "field": "latency", "percents": [ 50, 75, 95, 99 ] } }, "latency_avg":{ "avg": { "field": "latency" } } } } } } 结果： { "took": 1, "timed_out": false, "_shards": { "total": 5, "successful": 5, "failed": 0 }, "hits": { "total": 12, "max_score": 0, "hits": [] }, "aggregations": { "group_by_province": { "doc_count_error_upper_bound": 0, "sum_other_doc_count": 0, "buckets": [ { "key": "新疆", "doc_count": 6, "latency_avg": { "value": 314.5 }, "latency_percentiles": { "values": { "50.0": 288.5, "75.0": 367.25, "95.0": 587.75, "99.0": 640.75 } } }, { "key": "江苏", "doc_count": 6, "latency_avg": { "value": 89.33333333333333 }, "latency_percentiles": { "values": { "50.0": 87.5, "75.0": 101.75, "95.0": 110.25, "99.0": 111.65 } } } ] } } } |