慢日志
编辑慢日志编辑
搜索慢日志编辑
分片级慢速搜索日志允许将慢速搜索(查询和获取阶段)记录到专用日志文件中。
可以为执行的查询阶段和获取阶段设置阈值,以下是一个示例
index.search.slowlog.threshold.query.warn: 10s index.search.slowlog.threshold.query.info: 5s index.search.slowlog.threshold.query.debug: 2s index.search.slowlog.threshold.query.trace: 500ms index.search.slowlog.threshold.fetch.warn: 1s index.search.slowlog.threshold.fetch.info: 800ms index.search.slowlog.threshold.fetch.debug: 500ms index.search.slowlog.threshold.fetch.trace: 200ms
以上所有设置都是*动态的*,可以使用 更新索引设置 API 为每个索引设置。例如
resp = client.indices.put_settings( index="my-index-000001", body={ "index.search.slowlog.threshold.query.warn": "10s", "index.search.slowlog.threshold.query.info": "5s", "index.search.slowlog.threshold.query.debug": "2s", "index.search.slowlog.threshold.query.trace": "500ms", "index.search.slowlog.threshold.fetch.warn": "1s", "index.search.slowlog.threshold.fetch.info": "800ms", "index.search.slowlog.threshold.fetch.debug": "500ms", "index.search.slowlog.threshold.fetch.trace": "200ms", }, ) print(resp)
response = client.indices.put_settings( index: 'my-index-000001', body: { 'index.search.slowlog.threshold.query.warn' => '10s', 'index.search.slowlog.threshold.query.info' => '5s', 'index.search.slowlog.threshold.query.debug' => '2s', 'index.search.slowlog.threshold.query.trace' => '500ms', 'index.search.slowlog.threshold.fetch.warn' => '1s', 'index.search.slowlog.threshold.fetch.info' => '800ms', 'index.search.slowlog.threshold.fetch.debug' => '500ms', 'index.search.slowlog.threshold.fetch.trace' => '200ms' } ) puts response
PUT /my-index-000001/_settings { "index.search.slowlog.threshold.query.warn": "10s", "index.search.slowlog.threshold.query.info": "5s", "index.search.slowlog.threshold.query.debug": "2s", "index.search.slowlog.threshold.query.trace": "500ms", "index.search.slowlog.threshold.fetch.warn": "1s", "index.search.slowlog.threshold.fetch.info": "800ms", "index.search.slowlog.threshold.fetch.debug": "500ms", "index.search.slowlog.threshold.fetch.trace": "200ms" }
默认情况下,阈值被禁用(设置为 -1
)。
日志记录是在分片级别范围内完成的,这意味着在特定分片内执行搜索请求。它不包含整个搜索请求,该请求可以广播到多个分片以执行。与请求级别相比,分片级别日志记录的一些好处是与特定机器上的实际执行相关联。
搜索慢日志文件在 log4j2.properties
文件中配置。
识别搜索慢日志来源编辑
识别触发慢速运行查询的原因通常很有用。要包含有关触发慢速搜索的用户信息,请使用 index.search.slowlog.include.user
设置。
resp = client.indices.put_settings( index="my-index-000001", body={"index.search.slowlog.include.user": True}, ) print(resp)
response = client.indices.put_settings( index: 'my-index-000001', body: { 'index.search.slowlog.include.user' => true } ) puts response
PUT /my-index-000001/_settings { "index.search.slowlog.include.user": true }
这将导致用户信息包含在慢日志中。
{ "@timestamp": "2024-02-21T12:42:37.255Z", "log.level": "WARN", "auth.type": "REALM", "elasticsearch.slowlog.id": "tomcat-123", "elasticsearch.slowlog.message": "[index6][0]", "elasticsearch.slowlog.search_type": "QUERY_THEN_FETCH", "elasticsearch.slowlog.source": "{\"query\":{\"match_all\":{\"boost\":1.0}}}", "elasticsearch.slowlog.stats": "[]", "elasticsearch.slowlog.took": "747.3micros", "elasticsearch.slowlog.took_millis": 0, "elasticsearch.slowlog.total_hits": "1 hits", "elasticsearch.slowlog.total_shards": 1, "user.name": "elastic", "user.realm": "reserved", "ecs.version": "1.2.0", "service.name": "ES_ECS", "event.dataset": "elasticsearch.index_search_slowlog", "process.thread.name": "elasticsearch[runTask-0][search][T#5]", "log.logger": "index.search.slowlog.query", "elasticsearch.cluster.uuid": "Ui23kfF1SHKJwu_hI1iPPQ", "elasticsearch.node.id": "JK-jn-XpQ3OsDUsq5ZtfGg", "elasticsearch.node.name": "node-0", "elasticsearch.cluster.name": "distribution_run" }
如果使用 X-Opaque-ID
标头启动调用,则该 ID 将包含在搜索慢日志的 elasticsearch.slowlog.id 字段中。有关详细信息和最佳实践,请参阅 X-Opaque-Id HTTP 标头。
索引慢日志编辑
索引慢日志,其功能类似于搜索慢日志。日志文件名以 _index_indexing_slowlog.json
结尾。日志和阈值的配置方式与搜索慢日志相同。索引慢日志示例
index.indexing.slowlog.threshold.index.warn: 10s index.indexing.slowlog.threshold.index.info: 5s index.indexing.slowlog.threshold.index.debug: 2s index.indexing.slowlog.threshold.index.trace: 500ms index.indexing.slowlog.source: 1000
以上所有设置都是*动态的*,可以使用 更新索引设置 API 为每个索引设置。例如
resp = client.indices.put_settings( index="my-index-000001", body={ "index.indexing.slowlog.threshold.index.warn": "10s", "index.indexing.slowlog.threshold.index.info": "5s", "index.indexing.slowlog.threshold.index.debug": "2s", "index.indexing.slowlog.threshold.index.trace": "500ms", "index.indexing.slowlog.source": "1000", }, ) print(resp)
response = client.indices.put_settings( index: 'my-index-000001', body: { 'index.indexing.slowlog.threshold.index.warn' => '10s', 'index.indexing.slowlog.threshold.index.info' => '5s', 'index.indexing.slowlog.threshold.index.debug' => '2s', 'index.indexing.slowlog.threshold.index.trace' => '500ms', 'index.indexing.slowlog.source' => '1000' } ) puts response
PUT /my-index-000001/_settings { "index.indexing.slowlog.threshold.index.warn": "10s", "index.indexing.slowlog.threshold.index.info": "5s", "index.indexing.slowlog.threshold.index.debug": "2s", "index.indexing.slowlog.threshold.index.trace": "500ms", "index.indexing.slowlog.source": "1000" }
要包含有关触发慢速索引事件的用户信息,请使用 index.indexing.slowlog.include.user
设置。
resp = client.indices.put_settings( index="my-index-000001", body={"index.indexing.slowlog.include.user": True}, ) print(resp)
response = client.indices.put_settings( index: 'my-index-000001', body: { 'index.indexing.slowlog.include.user' => true } ) puts response
PUT /my-index-000001/_settings { "index.indexing.slowlog.include.user": true }
默认情况下,Elasticsearch 会在慢日志中记录 _source 的前 1000 个字符。您可以使用 index.indexing.slowlog.source
更改它。将其设置为 false
或 0
将完全跳过记录源,而将其设置为 true
将记录整个源,而不管大小。默认情况下,原始 _source
会重新格式化,以确保它适合一行日志。如果保留原始文档格式很重要,您可以通过将 index.indexing.slowlog.reformat
设置为 false
来关闭重新格式化,这将导致源“按原样”记录,并且可能会跨越多行日志。
索引慢日志文件在 log4j2.properties
文件中配置。
慢日志级别编辑
您可以通过设置适当的阈值来模拟搜索或索引慢日志级别,从而关闭“更详细”的记录器。例如,如果我们想模拟 index.indexing.slowlog.level: INFO
,那么我们需要做的就是将 index.indexing.slowlog.threshold.index.debug
和 index.indexing.slowlog.threshold.index.trace
设置为 -1
。