[
https://issues.apache.org/jira/browse/ARROW-14263?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Bryan Ashby updated ARROW-14263:
--------------------------------
Environment:
pyarrow==5.0.0
C++ = 5.0.0
Windows 10 Pro x64
Python 3.8.5
was:
pyarrow==5.0.0
C++ = 5.0.0
Windows 10 Pro x64
> "Invalid flatbuffers message" thrown with some serialized RecordBatch's
> -----------------------------------------------------------------------
>
> Key: ARROW-14263
> URL: https://issues.apache.org/jira/browse/ARROW-14263
> Project: Apache Arrow
> Issue Type: Bug
> Components: C++, Python
> Affects Versions: 5.0.0
> Environment: pyarrow==5.0.0
> C++ = 5.0.0
> Windows 10 Pro x64
> Python 3.8.5
> Reporter: Bryan Ashby
> Priority: Major
> Attachments: record-batch-large.arrow
>
>
> I'm running into various exceptions (often: "Invalid flatbuffers message")
> when attempting to de-serialize RecordBatch's in Python that were generated
> in C++.
> The same batch can be de-serialized back within C++.
> *Example (C++)* (status checks omitted, but they are check in real code)*:*
> {code:java}
> const auto stream = arrow::io::BufferOutputStream::Create();
> {
> const auto writer = arrow::ipc::MakeStreamWriter(*stream, schema);
> const auto writeRes = (*writer)->WriteRecordBatch(batch);
> (*writer)->Close();
> }
> auto buffer = (*stream)->Finish();
> std::ofstream ofs("record-batch-large.arrow"); // we'll read this in Python
> ofs.write(reinterpret_cast<const char*>((*buffer)->data()),
> (*buffer)->size());
> ofs.close();
> auto backAgain = DeserializeRecordBatch((*buffer)); // all good
> {code}
> *Then in Python*:
> {code:java}
> with open("record-batch-large.arrow", "rb") as f:
> data = f.read()
> reader = pa.RecordBatchStreamReader(data) // throws here - "Invalid
> flatbuffers message"
> {code}
> Please see the attached .arrow file (produced above).
> Any ideas?
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
