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Posted to jira@arrow.apache.org by "Weston Pace (Jira)" <ji...@apache.org> on 2022/03/11 03:46:00 UTC

[jira] [Assigned] (ARROW-15642) [Python] [JavaScript] Arrow IPC file output by apache-arrow tableToIPC method cannot be read by pyarrow

     [ https://issues.apache.org/jira/browse/ARROW-15642?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Weston Pace reassigned ARROW-15642:
-----------------------------------

    Assignee: Weston Pace

> [Python] [JavaScript] Arrow IPC file output by apache-arrow tableToIPC method cannot be read by pyarrow
> -------------------------------------------------------------------------------------------------------
>
>                 Key: ARROW-15642
>                 URL: https://issues.apache.org/jira/browse/ARROW-15642
>             Project: Apache Arrow
>          Issue Type: Bug
>          Components: JavaScript, Python
>    Affects Versions: 7.0.0
>            Reporter: Dan Coates
>            Assignee: Weston Pace
>            Priority: Major
>
> IPC files created by the node library `apache-arrow` don't seem to be able to be read by pyarrow. There is an example of this issue here: [https://github.com/dancoates/pyarrow-jsarrow-test |https://github.com/dancoates/pyarrow-jsarrow-test]
>  
> writing the arrow file from js
> {code:javascript}
> import {tableToIPC, tableFromArrays} from 'apache-arrow';
> import fs from 'fs';
> const LENGTH = 2000;
> const rainAmounts = Float32Array.from(
>     { length: LENGTH },
>     () => Number((Math.random() * 20).toFixed(1)));
> const rainDates = Array.from(
>     { length: LENGTH },
>     (_, i) => new Date(Date.now() - 1000 * 60 * 60 * 24 * i));
> const rainfall = tableFromArrays({
>     precipitation: rainAmounts,
>     date: rainDates
> });
> const outputTable = tableToIPC(rainfall);
> fs.writeFileSync('jsarrow.arrow', outputTable); {code}
>  
> reading in python
> {code:python}
> import pyarrow as pa
> with open('jsarrow.arrow', 'rb') as f:
>     with pa.ipc.open_file(f) as reader:
>         df = reader.read_pandas()
>         print(df.head())
>  {code}
>  
> produces the error:
> {code:java}
> pyarrow.lib.ArrowInvalid: Not an Arrow file {code}
>  
>  



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