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https://issues.apache.org/jira/browse/ARROW-15642?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17518150#comment-17518150
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Dominik Moritz commented on ARROW-15642:
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Interesting discussion. I wonder whether we should by default create file IPC
instead of stream since file is the more common use case. What's the default in
other libraries?
> [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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