Comments (4)
- Spark client can be configured to send shuffle data to multiple shuffle servers, and spark task won't fail if one shuffle server fail. But it will cost more storage space depend on configuration. We'll add documents to describe the configuration later.
- Yes, shuffle data will be written to different drives according to configuration, eg,
rss.storage.basePath /data1/rssdata,/data2/rssdata
,/data1/rssdata
and/data2/rssdata
are mounted with different disk drivers
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@colinmjj what if I'm trying to deploy a code change, or a config change, and need to restart the process to pick up this change? Mostly curious if the shuffle data stored will persist and be picked up again. really appreciate the quick response
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@cpd85 The shuffle data exists if spark application is alive according to heartbeat, and data will be removed if there has no heartbeat.
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@colinmjj what if I'm trying to deploy a code change, or a config change, and need to restart the process to pick up this change? Mostly curious if the shuffle data stored will persist and be picked up again. really appreciate the quick response
Our project has moved to Apache Incubator, Our project's name changed from Firestorm to Uniffle. there is a similar issue apache/incubator-uniffle#263, if you have interest, you can see it.
I'll close this issue. thanks.
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Related Issues (20)
- Whether multiple disks are supported for local storage? HOT 4
- duplicate servlets map in Coordinator Server
- 使用firestorm-0.4.0 运行spark3.1.1官方的JavaWordCount报如下错误,并且在yarn-client模式下driver端进程一直不退出 HOT 10
- What‘s the difference between `spark.rss.storage.type` and `rss.storage.type`? HOT 18
- yarn-client模式下driver端进程一直不退出 HOT 9
- In local mode, why directory should be deleted first? HOT 1
- [QUESTION] 依赖Hadoop环境? HOT 3
- [QUESTION] Executor在shuffle write/read 过程中是否落本地盘? HOT 2
- [Feature Request]Add a web UI in Coordinated Server to show the detailed server/job/metrics information HOT 1
- hardcoded relative paths HOT 6
- Whether local multiple replicas are supported? HOT 2
- Compared to the native spark, the shuffle write data of firestorm is always smaller HOT 2
- Unexpected crc value for blockId[474989042101783], expected:1518107711, actual:3331113690 HOT 5
- Shuffle read does not read all data completely? HOT 31
- Support shuffle data replica? HOT 5
- Coordinator HA problem HOT 6
- Clear buffered data when acquiring memory failed and then retry
- To support more tasks with Firestorm
- how to enter into uniffle wechat or dingtalk?
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