ElasticsearchGetAllIndexes { public static void main(String[] args) { // 创建Elasticsearch客户端 RestClientBuilder builder = RestClient.builder( new HttpHost("localhost", 9200, "http")); RestHighLevelClient client = new RestHighLevelClient(builder); try { // 发送获取索引列表的请求 GetIndex...
索引(名词) 如上文所述,一个索引(index)就像是传统关系数据库中的数据库,它是相关文档存储的地方,index的复数是 indices 或 indexes。 索引(动词) 「索引一个文档」表示把一个文档存储到索引(名词)里,以便它可以被检索或者查询。这很像SQL中的INSERT关键字,差别是,如果文档已经存在,新的文档将覆盖旧的文档。
delIndexConfig.getDelindex().forEach((k, v) -> { log.info("索引起始名称为{},保留周期为{}天", k, v); Set<String> allIndexes = getAllIndices();if(allIndexes.size() >0) { log.info("当前索引总数为:{}", allIndexes.size()); List<String> timeoutList = getIndicesTimeout(allInde...
delIndexConfig.getDelindex().forEach((k, v) -> { log.info("索引起始名称为{},保留周期为{}天", k, v); Set<String> allIndexes = getAllIndices(); if (allIndexes.size() > 0) { log.info("当前索引总数为:{}", allIndexes.size()); List<String> timeoutList = getIndicesTimeout(al...
索引(名词)如上文所述,一个索引(index)就像是传统关系数据库中的数据库,它是相关文档存储的地方,index的复数是 indices 或 indexes。 索引(动词)「索引一个文档」表示把一个文档存储到索引(名词)里,以便它可以被检索或者查询。这很像SQL中的INSERT关键字,差别是,如果文档已经存在,新的文档将覆盖旧的文档。
If enabled, Elasticsearch indexes prefixes between 2 and 5 characters in a separate field. This lets Elasticsearch run prefix queries more efficiently at the cost of a larger index. 您可以使用index_prefixes映射参数来加速前缀查询。 如果启用,Elasticsearch会在一个单独的字段中索引2到5个字符之间的前缀...
By default, Elasticsearch indexes all data in every field and each indexed field has a dedicated, optimized data structure 默认情况下,ES对每个字段的所有数据都进行建立索引,并且每个索引字段都具有专用的优化数据结构例如: 数据类型数据结构 关系行数据库和Elasticsearch的对比 Relational DBElasticsearch ES7.14 ...
An index is identified by a name (that must be all lowercase) and this name is used to refer to the index when performing indexing, search, update, and delete operations against the documents in it. In a single cluster, you can define as many indexes as you want. 类型(Type) A type ...
($params); // Get mapping 'my_type' in 'my_index' $params = [ 'index' => 'my_index' 'type' => 'my_type' ]; $response = $client->indices()->getMapping($params); // Get mappings for two indexes $params = [ 'index' => [ 'my_index', 'my_index2' ] ]; $response = ...
Therefore, this approach which indexes the original raw document as well as upserting the transformed document, will effectively double the ingest workload when compared to the ingest workload of only indexing the raw documents. Conclusions In this blog we have demonstrated how Logstash can be ...