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Posted to jira@arrow.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2021/06/08 16:12:00 UTC
[jira] [Updated] (ARROW-12827) [C++] [Dataset] Review error
pass-through in the datasets API
[ https://issues.apache.org/jira/browse/ARROW-12827?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
ASF GitHub Bot updated ARROW-12827:
-----------------------------------
Labels: pull-request-available (was: )
> [C++] [Dataset] Review error pass-through in the datasets API
> -------------------------------------------------------------
>
> Key: ARROW-12827
> URL: https://issues.apache.org/jira/browse/ARROW-12827
> Project: Apache Arrow
> Issue Type: Improvement
> Components: C++
> Reporter: Weston Pace
> Priority: Minor
> Labels: pull-request-available
> Time Spent: 10m
> Remaining Estimate: 0h
>
> There is at least one (and I think there are actually several) places in the datasets API where we are bubbling up errors without attaching the necessary context. For example, in the discussion here [https://github.com/apache/arrow/pull/10326#pullrequestreview-662095548] a call to "DatasetFactory::Create" (where the user incorrectly assigned a default file format of parquet) is returning "Parquet magic bytes not found in footer" instead of something like "Dataset creation failed. The fragment '/2019/July/myfile.csv' did not match the expected 'parquet'' format: Parquet magic bytes not found in footer"
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