Comments (2)
利用集群进行数据存储和查询 效果还不如单机 面对大数据量的入库和查询 出现入库异常和查询缓慢情况
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如果要测试出正常的结果,需要搭建合理的测试环境以及做出适当的配置。采用docker-compose进行测试,网络和磁盘都会受限;同时客户端采用了不合理的多线程编程方式,也会导致出不符合预期的问题。具体地,可以参考 官方硬件规划指南 Hardware sizing guidelines
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Related Issues (20)
- How to modify Desired Replicas?and need Cluster config docs readme in China HOT 2
- All nodes in the cluster are crashed when multiple writing stress testing and 16 million total points written per second HOT 4
- Unexpected write: status 500 , body: {"error":"timeout"}, when 16 million total points written per second HOT 5
- Different results with same query when 16 million total points written per second HOT 4
- I can not pull the Image with portainer - i get "Failure - no such image" - is there a typo? HOT 2
- dangled meta node HOT 21
- when will v1.8.10-c1.2.0 be release ? HOT 1
- consistency-level can not be configured HOT 2
- How to restore influx data HOT 2
- InfluxDB Cluster PVC[meta and data], Can be created in AWS EFS / NFS storage framework !! HOT 3
- Highly available setup of influxdb cluster HOT 2
- Roadmap for Version 1.10 HOT 5
- How to mount correctly? HOT 9
- How can I automate the process of adding the data and meta nodes? HOT 3
- 8个datanode 同样sql多次查询结果不一致 HOT 5
- next version support backup&restore cmd HOT 1
- [occurs error] use `influx import` line protocol data file HOT 4
- timeout: influxd-ctl copy-shard occurs error HOT 17
- 为什么插入data mate不同步呢数据 HOT 4
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