Comments (3)
waitinfuture
commented on June 25, 2024
Hi @xleoken , thanks for raising this discussion! IMO it's fine for workers to listen on 0.0.0.0, but since Master's ip:port is used by Workers and Clients, I think we can't let Master use 0.0.0.0.
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xleoken
commented on June 25, 2024
Thanks @waitinfuture
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pan3793
commented on June 25, 2024
@xleoken the current behavior is to listen to the first non-loopback address if not explicitly configured, 0.0.0.0 is not a good candidate as the fallback behavior IMO, for both security purposes and service discovery mechanism.
PS: Better to use mailing list or GitHub discussion for starting such a conversation.
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Related Issues (20)
- [FEATURE] support tez client HOT 1
- [FEATURE] In soft mode, there may be situations where individual partition files are exceptionally large
- [BUG] Shuffle read latency is too high when automatic Broadcastjoin is triggered HOT 8
- [FEATURE] support create multiple celeborn clusters(for flink) in one kubernetes namespace HOT 1
- [BUG] CelebornIOException: createPartitionReader failed! HOT 3
- [FEATURE] introduce jemalloc to optimize memory usage HOT 7
- [FEATURE] HDFS storage support NameNode HA config HOT 1
- [DOC] Update Configuration for spark.shuffle.sort.io.plugin.class HOT 1
- [BUG] Make volume name dynamic in statefulset in helm chart HOT 3
- [FEATURE] support configurable checksum in Lz4Decompressor HOT 4
- [FEATURE] make affinity.master and affinity.worker optional HOT 2
- [BUG] master cannot startup HOT 1
- [FEATURE] Set resources ( cpu/memory requests and limits) for initContainers for Helm chart HOT 2
- [QUESTION] spark reduce需要sort时，是否还需要准备很大的本地盘 HOT 4
- Who is using Apache Celeborn? HOT 19
- [DOC] Disable dynamic allocation shuffle tracking in spark 3.5 HOT 2
- [BUG] spark procedure occur Shuffle data lost for shuffle xx partitionId xx frequently HOT 1
- Please add tag for 0.4.0 version HOT 3
- [Umbrella] Apache Celeborn Graduation Tasks
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