使用sql插件执行如下语句的时候报错http://10.127.0.1:9200/_sql?sql=select * from test limit 1000000 错误信息:{"error":{"root_cause":[{"type":"query_phase_execution_exception","reason":"Result window is too large, from + s…
调用ElasticSearch做分页查询时报错: QueryPhaseExecutionException[Result window is too large, from + size must be less than or equal to: [10000] but was [666000]. See the scroll api for a more efficient way to request large data sets. This limit can be set by ch…
{"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 [78440]. See the scroll api for a mor…
起因 elastic做文本索引,match_all目标索引超过10000条时,出错 { "error": { "root_cause": [ { "type": "illegal_argument_exception", "reason": "Result window is too large, from + size must be less than or equal to: [10000]…
方法一: 如果需要搜索分页,可以通过from size组合来进行.from表示从第几行开始,size表示查询多少条文档.from默认为0,size默认为10, 如果搜索size大于10000,需要设置index.max_result_window参数 注意:size的大小不能超过index.max_result_window这个参数的设置,默认为10,000. PUT 192.168.0.37:9200/index/_settings { "index": { "max_re…
检查自己分页查询的代码 Pageable pageable = new PageRequest(0, 10000); searchQuery.setPageable(pageable); // 分页效果 ES默认最大值为10000. 设置方法:…
问题: Result window is too large 解决: PUT http://127.0.0.1:9200/catalog/_settings { "index": { "max_result_window": 2147483647 } }…
需要出一份印地语文章的表,导出规则为: 1.所有印地语(包含各种颜色,各种状态)的文章 2.阅读数大于300 3.按照阅读推荐比进行排序,取前3000篇文章 说明: 1.文章信息,和阅读推荐数量在两个Es中 2.印地语文章共30w+篇(不超过40w) 思路: 从Topic-Es中每次获取500个文章uuid,再去UserLog-Es中查询这500个uuid的阅读推荐数,将阅读数大于300的文章信息放入List集合中,导出Excel. 问题: 1.QueryPhaseExecutionExcept…
解决 Elasticsearch 超过 10000 条无法查询的问题 问题描述 分页查询场景,当查询记录数超过 10000 条时,会报错. 使用 Kibana 的 Dev Tools 工具查询 从第 10001 条到 10010 条数据. 查询语句如下: GET alarm/_search { "from": 10000, "size": 10 } 查询结果,截图如下: 报错信息如下: { "error": { "root_cause&…
目录: 1 _riverStatus Import_fail 2 es_rejected_execution_exception <429> 3 create_failed_engine_exception <500> 4 mapper_parsing_exception <400> 5 index_not_found_exception <404> 6 Result window is too large, from + size must be less…