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Elasticsearch慢查询日志分析

时间:2017-08-28 23:49:37      阅读:837      评论:0      收藏:0      [点我收藏+]

标签:elasticsearch slowlog   慢日志

目前架构:

n台filebeat客户端来将每台应用上的日志传到kafka,3台kafka做集群用于日志队列,四台ES做集群,前两台存放近两天热数据日志,后两台存放两天前的历史日志,数据保存一个月,目前总数据量6T。logstash与kibana与ES在一台机器上,kibana访问域名三个kibana做轮询,


目前ELK中发现有些索引查询有点慢,于是打开ES索引查询日志来记录慢查询,进而对慢查询日志进行分析,定位问题。慢日志内容如下:

[2017-08-28T11:21:02,377][WARN ][index.search.slowlog.query] [node-3] [logstash-nginx-2017.08.01][4] took[15s], took_millis[15029], types[], stats[], search
_type[QUERY_THEN_FETCH], total_shards[140], source[{"size":0,"query":{"bool":{"filter":[{"match_none":{"boost":1.0}},{"query_string":{"query":"NOT status:200  OR  NOT
status:304","fields":[],"use_dis_max":true,"tie_breaker":0.0,"default_operator":"or","auto_generate_phrase_queries":false,"max_determined_states":10000,"enable_position
_increment":true,"fuzziness":"AUTO","fuzzy_prefix_length":0,"fuzzy_max_expansions":50,"phrase_slop":0,"analyze_wildcard":true,"escape":false,"split_on_whitespace":true,
"boost":1.0}}],"disable_coord":false,"adjust_pure_negative":true,"boost":1.0}},"aggregations":{"3":{"terms":{"field":"status","size":5,"min_doc_count":0,"shard_min_doc_
count":0,"show_term_doc_count_error":false,"order":[{"_count":"desc"},{"_term":"asc"}]},"aggregations":{"2":{"date_histogram":{"field":"@timestamp","format":"epoch_mill
is","interval":"20m","offset":0,"order":{"_key":"asc"},"keyed":false,"min_doc_count":0,"extended_bounds":{"min":"1503886846372","max":"1503890446372"}}}}}}}],
[2017-08-28T11:21:02,377][WARN ][index.search.slowlog.query] [node-3] [logstash-nginx-2017.08.01][2] took[15.7s], took_millis[15787], types[], stats[], sear
ch_type[QUERY_THEN_FETCH], total_shards[140], source[{"size":0,"query":{"bool":{"filter":[{"match_none":{"boost":1.0}},{"query_string":{"query":"NOT status:200  OR  NOT
  status:304","fields":[],"use_dis_max":true,"tie_breaker":0.0,"default_operator":"or","auto_generate_phrase_queries":false,"max_determined_states":10000,"enable_positi
on_increment":true,"fuzziness":"AUTO","fuzzy_prefix_length":0,"fuzzy_max_expansions":50,"phrase_slop":0,"analyze_wildcard":true,"escape":false,"split_on_whitespace":tru
e,"boost":1.0}}],"disable_coord":false,"adjust_pure_negative":true,"boost":1.0}},"aggregations":{"3":{"terms":{"field":"status","size":5,"min_doc_count":0,"shard_min_do
c_count":0,"show_term_doc_count_error":false,"order":[{"_count":"desc"},{"_term":"asc"}]},"aggregations":{"2":{"date_histogram":{"field":"@timestamp","format":"epoch_mi
llis","interval":"20m","offset":0,"order":{"_key":"asc"},"keyed":false,"min_doc_count":0,"extended_bounds":{"min":"1503886846372","max":"1503890446372"}}}}}}}],

下面进行分析:

待续

本文出自 “努力奔向前方” 博客,请务必保留此出处http://liucb.blog.51cto.com/3230681/1959875

Elasticsearch慢查询日志分析

标签:elasticsearch slowlog   慢日志

原文地址:http://liucb.blog.51cto.com/3230681/1959875

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