Comments (5)
When shuffle read, after process all blocks, it will check if all expected blocks are processed. "Blocks read inconsistent" will be thrown when some blocks are lost. It may be caused by writing shuffle data failed.
from firestorm.
Thank you for your reply, Does the LOCALFILE_AND_HDFS mode write data to the HDFS and Shuffle server at the same time?
from firestorm.
@Augus-smile please try release 0.2.0 which has a lot of improvements and bug fix. You can refer readme for detail configuration. In 0.2.0, MEMORY_LOCALFILE_HDFS is introduced for multiple storages. We will publish related doc soon.
from firestorm.
Shuffle server process was killed due to OOM, related server conf : physical memory : 16g, XMX_SIZE: 12g. However, during the Spark task execution, the Shuffle Server process occupies nearly 16g memory. What are the memory consumption components of the Shuffle Server? Is there a parameter to restrict the memory usage of shuffle Server?
from firestorm.
set xmx_size in rss-env.sh
in server.conf:
rss.server.buffer.capacity # memory cache for write and read
rss.server.read.buffer.capacity # memory cache for read
BTW, please left extra 5G memory for shuffle server
from firestorm.
Related Issues (20)
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- [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
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- 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
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