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OOM while running with a large number of HDFS files #62

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wilsonwang371 opened this issue Mar 13, 2023 · 0 comments

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wilsonwang371 commented Mar 13, 2023

In our environment, we tried to run with a large amount of HDFS dataset files and we found OOM issue.

From the page https://beam.apache.org/documentation/runners/direct/ It seems like the direct runner will load all dataset into memory and this is probably why we are falling.

This is a high-priority task for us to make ray beam runner work in our production environment.

wilsonwang371 added the enhancement label

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