elasticsearch from + size must be less than or equal to: [10000] but was [100000] 说明:当分页查询时,默认最大总数是10000(from+size<=10000),当我现在业务需要查询最大100000条时,就报错了。 方案1:可以为某个es放开到指定的返回总数,也可以对整个es的索引做设置。但这样对内存消耗很大, 可能导致内存...
使用elasticsearch的时候,size的值太大的话会报以下错误。 "type":"query_phase_execution_exception","reason":"Result window is too large, from + size must be less than or equal to: [10000] but was [1000000]. See the scroll api for a more efficient way to request large data sets. This l...
使用elasticsearch做分页查询时,当查询记录超过10000时,会报如下错误: Result window is too large, from + size must be less than or equal to: [10000] but was [10025]. See the scroll api for a more efficient way to request large data sets. This limit can be set by changing the [index.max...
简介: Result window is too large, from + size must be less than or equal to: [10000] bug记录 最近在学Elasticsearch,查询报错Result window is too large, from + size must be less than or equal to: [10000] 记录下解决方法 错误信息:Result window is too large, from + size must be less ...
需求:elasticsearch默认输出最多一万条 查询第10001条数据开始就会报错:Resultwindowistoolarge,from+sizemustbelessthanorequalto但是很多时候10000数据不能满足项目的需求,所以我们就要解除这个限制。 参数设置: 下面我们通过Elasticsearch的API设置最大的读取行。 注 ...
Result window is too large, from + size must be less than or equal to: [10000] but was [37400] 处理方案:调整对应索引的最大结果集。 方式1:POSTMAN方式执行命令如下图 方式2:kibana开发者工具中执行如下命令 // 设置索引搜索结果的最大值 PUT index_name/_settings { "index":{ "max_result_wind...
ES 查询报错 Caused by: java.lang.IllegalArgumentException: Result window is too large, from + size must be less than or equal to: [10000] but was [12390]. See the scroll api for a more efficient way to request large data sets. This limit can be set by changing the [index.max_resul...
Elasticsearch 使用 from + size 分页查询数据时出现异常如下 {"error":{"root_cause":[{"type":"query_phase_execution_exception","reason":"Result window is too large, from + size must be less than or equal to: [10000] but was [307440]. See the scroll api for a more efficient way to ...
使用elasticsearch做分页查询时,当查询记录超过10000时,会报如下错误: Result window is too large, from + size must be less than or equal to: [10000] but was [10025]. See the scroll api f...
value db.collection.find({ "field" : { $lte: value } } ); // less than or equal to ...