今天在进行ELK测试的时候,在kibana上面discover无论那个index,发现均会报错: [request] Data too large, data for [<agg [2]>] would be larger than limit of 并且在elasticsearch的日志可以看到: org.elasticsearch.common.breaker.CircuitBreakingException: [request] Data too large, data for [<agg [2]>]...
今天在进行ELK测试的时候,在kibana上面discover无论那个index,发现均会报错: [request] Data too large, data for [<agg [2]>] would be larger than limit of 并且在elasticsearch的日志可以看到: org.elasticsearch.common.breaker.CircuitBreakingException: [request] Data too large, data for [<agg [2]>]...
{“statusCode“:500, “error"/Internal Server Error", "message":”[parent] Data too large, data for [<http_request>] would be [998723778/952. 4mb], which is larger than the limit... ELK 系统中访问报错 Kibana 报错: {“statusCode“:500, “error"/Internal Server Error","message":”...
问题2.5 Too Many Requests/circuit_breaking_exception 随着ES存储数据的增多,在打开kibana执行查询时报错,提示信息如下: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 { "statusCode":429, "error":"Too Many Requests", "message":"[circuit_breaking_exception] [parent] Data too large, data for [...
ElasticsearchException[org.elasticsearch.common.breaker.CircuitBreakingException: Data too large, data for field [@timestamp] would be larger than limit of [639015321/609.4mb]] doc_values 只能给不分词(对于字符串字段就是设置了"index":"not_analyzed",数值和时间字段默认就没有分词) 的字段配置生效。
ElasticsearchException[org.elasticsearch.common.breaker.CircuitBreakingException: Data too large, data for field [@timestamp] would be larger than limit of [639015321/609.4mb]] doc_values只能给不分词(对于字符串字段就是设置了"index":"not_analyzed",数值和时间字段默认就没有分词)的字段配置生效。
ElasticsearchException[org.elasticsearch.common.breaker.CircuitBreakingException: Data too large, data for field [@timestamp] would be larger than limit of [639015321/609.4mb]] doc_values 只能给不分词(对于字符串字段就是设置了"index":"not_analyzed",数值和时间字段默认就没有分词) 的字段配置生效。
1. Redis配置 先把它注册成服务,然后再运行配置 工作目录从我们的用户目录开始 /home/user 同样su 进root权限来配置 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 # cp tmp/redis-3.0.6/utils/redis_init_script /etc/rc.d/init.d/redis ...
"description": "Template for my time series data", "my-custom-meta-field": "More arbitrary metadata" } } ILM: index lifecycle management ILM用于自动管理索引,如: 在索引达到一定大小或document打到一定数目时创建一个新的索引 按天、周、月来创建新的索引 ...
ElasticsearchException[org.elasticsearch.common.breaker.CircuitBreakingException: Data too large, data for field [@timestamp] would be larger than limit of [639015321/609.4mb]] doc_values只能给不分词(对于字符串字段就是设置了"index":"not_analyzed",数值和时间字段默认就没有分词)的字段配置生效。