1、Run an aggregation(运行一个聚合)https://www.elastic.co/guide/en/elasticsearch/reference/8.8/search-aggregations.html#run-an-agg You can run aggregations as part of a search by specifying the search API's aggs parameter. The following search runs a terms aggregation on my-field: 聚合将您...
Search as few fields as possible 在query_string 和 multi-match 查询中,fields 越多查询越慢。你可以新增一个联合字段,在 mapping 中设置 copy_to 将多个 fields 字段自动复制到这个联合 field 字段中,这样就能把多字段查询变为单字段查询。 05 Pre-index data 预索引数据。在进行 range aggregation 范围聚合...
你可以新增一个联合字段,在 mapping 中设置copy_to将多个 fields 字段自动复制到这个联合 field 字段中,这样就能把多字段查询变为单字段查询。 05 Pre-index data 预索引数据。在进行 range aggregation 范围聚合查询时,我们可以新增一个字段以在索引时标记其范围,这样 range aggregation 就变成了 term aggregation 。
A text field is analyzed before indexing so that a value likeNew Yorkcan be found by searching fornewor foryork. Atermsaggregation on this field will return anewbucket and ayorkbucket, when you probably want a single bucket calledNew York. Instead, you should have atextfield for full text...
增加冗余字段将部分range aggregation查询变成terms aggregation 为常用字段增加配置,将fielddata的loading设成eager,尽量多加载到内存 增加集群的缓存资源,把内存尽量多的用起来 Global ordinals Index warmer 调整aggregation的collect_mode 上SSD elasticsearch一些使用经验以及优化方法 ...
可以使用分片分配过滤器来控制Elasticsearch在何处分配特定索引的分片。每个过滤器需要与cluster-wide allocation filtering 和 allocation awareness 一起使用。 cluster-wide allocation filtering 和allocation awareness 可以参考一下地址: 目录结构:Set up Elasticsearch»Configuring Elasticsearch» Cluster-level shard all...
"fields": { "de": { "type": "string", "analyzer": "german" }, "en": { "type": "string", "analyzer": "english" }, "fr": { "type": "string", "analyzer": "french" }, "es": { "type": "string", "analyzer": "spanish" ...
Although it is possible tostorethe_allfield, it is basically an aggregation of all fields, which means more data will be stored, and highlighting it might produce strange results. 6)_analyzer The_analyzermapping allows to use a document field property as the name of the analyzer that will be...
It would be nice if the aggregation could be done on multiple fields to get a list of unique keys. The result should include the fields per key (where it found the term): "example" : { "buckets" : [ { "key" : "java", "doc_count" : 5 "fie...
The aggregation only runs on documents that match the query 聚合仅在与查询匹配的文档上运行 下面使用聚合来计算运行时的http.response.body.bytes字段的 average_response_siz GET logs-my_app-default/_search { "runtime_mappings": { "http.response.body.bytes": { "type": "long", "script": """...