2)查看结果 {"blog2":{"aliases":{},"mappings":{},"settings":{"index":{"creation_date":"1507466730030","number_of_shards":"5","number_of_replicas":"1","uuid":"lec0xYiBSmStspGVa6c80Q","version":{"created":"5060299"},"provided_name":"blog2"}}} 3.1.4删除索引 1)源代码 @Test...
还有一个和翻页相关的问题,就是深度分页,是个老大难的问题,因为需要全局排序(number_of_shards * (from + size)),所以需要消耗大量内存,以前的es没有限制,有些同学翻到几千页发现es直接内存溢出挂了,后面elasticsearch加上了限制,from+size不能超过1w条,并且如果需要深度翻页,建议使用scroll来做,但是scroll有几个...
routing = hash(routing) % number_of_primary_shards 每个数据都有一个routing参数,默认情况下,就使用其_id值,将其_id值计算hash后,对索引的主分片数取余,就是数据实际应该存储到的分片ID 由于取余这个计算,完全依赖于分母,所以导致Elasticsearch索引有一个限制,索引的主分片数,不可以随意修改。因为一旦主分片数...
quorum:默认值为quorum,即大多数的分片副本状态没问题就允许执行写操作,副本分片数量计算方式为int( (primary + number_of_replicas) / 2 ) + 1 5.0之后通过wait_for_active_shards参数设置 索引时增加参数:?wait_for_active_shards=3 给索引增加配置:index.write.wait_for_active_shards=3 数据写入 写入过程 ...
PUT /book/ { "settings": { "number_of_shards": 1, "number_of_replicas": 0 }, "mappings": { "properties": { "name":{ "type": "text", "analyzer": "ik_max_word", "search_analyzer": "ik_smart" }, "description":{ "type": "text", "analyzer": "ik_max_word", "search_an...
并假定它们能够相互发现彼此,它们将会自动形成并加入到一个叫做"elasticsearch"的集群中 在一个集群里,只要你想,可以拥有任意多个节点,而且如果当前你的网络中没有ElasticSearch的节点,这时启动一个节点会默认创建并加入一个叫做"elasticsearch"的集群 分片和复制(shards&replicas) 一个索引可以存储超出单个节点硬件限制的...
[root@localhost ~]# curl -XGET -k -u elastic:自己的密码 https://192.168.1.8:9200/_cluster/health {"cluster_name":"elasticsearch","status":"yellow","timed_out":false,"number_of_nodes":1,"number_of_data_nodes":1,"active_primary_shards":2,"active_shards":2,"relocating_shards":0,"...
索引分片数index.number_of_shards: 5 索引副本数index.number_of_replicas: 1 数据目录存放位置path.data: /data/elasticsearch/data 日志数据存放位置path.logs: /data/elasticsearch/log 内存bootstrap.mlockall: true 索引缓存index.cache.field.max_size: 500000 ...
"index.number_of_shards":5, "number_of_replicas":1, "index": { "store": { "compress": { "stored":true, "tv":true } } } }, "mappings": { "_default_": { "properties": { "dynamic":"true", }, }, "loadbalancer": { ...
访问https://webhook.site网站可以看到 ElastAlert 发送的 HTTP POST 请求。 查询elastalert_status 索引可以看到 ElastAlert 的执行记录。 GETelastalert_status/_search#返回结果{"took":0,"timed_out":false,"_shards":{"total":1,"successful":1,"skipped":0,"failed":0},"hits":{"total":{"value":...