You are viewing a plain text version of this content. The canonical link for it is here.

Posted to dev@arrow.apache.org by "Micah Kornfield (Jira)" <ji...@apache.org> on 2019/11/21 07:18:00 UTC

[jira] [Created] (ARROW-7224) [C++][Datasets] Partition level filters should be able to provide filtering to file systems

Micah Kornfield created ARROW-7224:
--------------------------------------

             Summary: [C++][Datasets] Partition level filters should be able to provide filtering to file systems
                 Key: ARROW-7224
                 URL: https://issues.apache.org/jira/browse/ARROW-7224
             Project: Apache Arrow
          Issue Type: Improvement
          Components: C++, C++ - Dataset
            Reporter: Micah Kornfield


When providing a filter for partitions, it should be possible in some cases to use it to optimize file system list calls.  This can greatly improve the speed for reading data from partitions because fewer number of directories/files need to be explored/expanded.  I've fallen behind on the dataset code, but I want to make sure this issue is tracked someplace.  This came up in SO question linked below (feel free to correct my analysis if I missed the functionality someplace).

Reference: [https://stackoverflow.com/questions/58868584/pyarrow-parquetdataset-read-is-slow-on-a-hive-partitioned-s3-dataset-despite-u/58951477#58951477]



--
This message was sent by Atlassian Jira
(v8.3.4#803005)