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Posted to issues@iceberg.apache.org by GitBox <gi...@apache.org> on 2022/01/12 13:42:09 UTC

[GitHub] [iceberg] wangxujin1221 edited a comment on issue #3858: How do I quickly traverse a very large table?

wangxujin1221 edited a comment on issue #3858:
URL: https://github.com/apache/iceberg/issues/3858#issuecomment-1011057333


   @powerzhangquan I think the key is your table  has too many small files, so it is very slowly to scan it. You can check you partition rule or user `df.repartition()` to decrease the num of spark partitions.


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