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Joris Van den Bossche updated ARROW-6114:
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Summary: [Python] Datatypes are not preserved when a pandas dataframe
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Joris Van den Bossche commented on ARROW-5480:
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{quote}One slightly higher level issue is
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Joris Van den Bossche edited comment on ARROW-6173 at 8/8/19 2:54 PM:
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Joris Van den Bossche commented on ARROW-6176:
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This might be done by adding a
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Joris Van den Bossche commented on ARROW-6173:
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The IO modules are not imported by default,
Joris Van den Bossche created ARROW-6179:
Summary: [C++] ExtensionType subclass for "unknown" types?
Key: ARROW-6179
URL: https://issues.apache.org/jira/browse/ARROW-6179
Project: Apache Arrow
Joris Van den Bossche created ARROW-6176:
Summary: [Python] Allow to subclass ExtensionArray to attach to
custom extension type
Key: ARROW-6176
URL: https://issues.apache.org/jira/browse/ARROW-6176
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Joris Van den Bossche commented on ARROW-6179:
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I suppose, if we go for this, it would
Joris Van den Bossche created ARROW-6187:
Summary: [C++] fallback to storage type when writing ExtensionType
to Parquet
Key: ARROW-6187
URL: https://issues.apache.org/jira/browse/ARROW-6187
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Joris Van den Bossche commented on ARROW-6179:
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The bigquery usage of this, is that open
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Joris Van den Bossche commented on ARROW-6081:
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The final error comes from bigquery, so you
Joris Van den Bossche created ARROW-6082:
Summary: [Python] create pa.dictionary() type with non-integer
indices type crashes
Key: ARROW-6082
URL: https://issues.apache.org/jira/browse/ARROW-6082
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Joris Van den Bossche reassigned ARROW-6082:
Assignee: Joris Van den Bossche
> [Python] create pa.dictionary() type
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Joris Van den Bossche reassigned ARROW-6642:
Assignee: Joris Van den Bossche
> [Python] chained access of
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Joris Van den Bossche commented on ARROW-6620:
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[~wesm] I think this should already be
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Joris Van den Bossche reassigned ARROW-6652:
Assignee: Joris Van den Bossche
> [Python] to_pandas conversion removes
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Joris Van den Bossche commented on ARROW-6652:
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This should be an easy fix. It seems that
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Joris Van den Bossche commented on ARROW-6652:
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Quickly did a PR
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Joris Van den Bossche commented on ARROW-4359:
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It could also be an option to use the
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Joris Van den Bossche commented on ARROW-6623:
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I elaborated a bit more on the dask issue,
Joris Van den Bossche created ARROW-6642:
Summary: [Python] chained access of ParquetDataset's metadata
segfaults
Key: ARROW-6642
URL: https://issues.apache.org/jira/browse/ARROW-6642
Joris Van den Bossche created ARROW-6704:
Summary: [C++] Cast from timestamp to higher resolution does not
check out of bounds timestamps
Key: ARROW-6704
URL:
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Joris Van den Bossche updated ARROW-6737:
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Description:
{code}
from pyarrow import json
import pyarrow.parquet as pq
r =
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Joris Van den Bossche updated ARROW-6737:
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Description:
{code}
from pyarrow import json
import pyarrow.parquet as pq
r =
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Joris Van den Bossche updated ARROW-6737:
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Description:
{code}
from pyarrow import json
import pyarrow.parquet as pq
r =
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Joris Van den Bossche commented on ARROW-6737:
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[~harish1792] would you be able to provide a
Joris Van den Bossche created ARROW-6749:
Summary: [Python] Conversion of non-ns timestamp array to numpy
gives wrong values
Key: ARROW-6749
URL: https://issues.apache.org/jira/browse/ARROW-6749
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Joris Van den Bossche commented on ARROW-6749:
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So the reason for this is that we are taking
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Joris Van den Bossche commented on ARROW-6749:
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We seem to explicitly test this right now
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Joris Van den Bossche commented on ARROW-6719:
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Are you able to share some data or a script
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Joris Van den Bossche updated ARROW-6713:
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Labels: parquet (was: )
> [Python] Getting "ArrowIOError: Corrupted file,
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Joris Van den Bossche updated ARROW-6719:
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Labels: parquet (was: )
> Parquet read_table error in Python3.7:
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Joris Van den Bossche reassigned ARROW-6674:
Assignee: Joris Van den Bossche
> [Python] Fix or ignore the test
Joris Van den Bossche created ARROW-6674:
Summary: [Python] Fix or ignore the test warnings
Key: ARROW-6674
URL: https://issues.apache.org/jira/browse/ARROW-6674
Project: Apache Arrow
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Joris Van den Bossche reassigned ARROW-6158:
Assignee: Joris Van den Bossche
> [Python] possible to create StructArray
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Joris Van den Bossche commented on ARROW-6551:
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This failed again in the last nightly run
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Joris Van den Bossche commented on ARROW-6737:
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Thanks for providing the sample file. This
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Joris Van den Bossche updated ARROW-6760:
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Description:
When a column accidentally changes type in a JSON file (which is
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Joris Van den Bossche commented on ARROW-6760:
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Indeed, a better error message would be
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Joris Van den Bossche updated ARROW-6760:
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Summary: [C++] JSON: improve error message when column changed type (was:
JSON
Joris Van den Bossche created ARROW-6763:
Summary: [Python] Parquet s3 tests are skipped because
dependencies are not installed
Key: ARROW-6763
URL: https://issues.apache.org/jira/browse/ARROW-6763
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Joris Van den Bossche closed ARROW-6737.
Resolution: Duplicate
> Nested column branch had multiple children
>
Joris Van den Bossche created ARROW-6762:
Summary: [C++] JSON reader segfaults on newline
Key: ARROW-6762
URL: https://issues.apache.org/jira/browse/ARROW-6762
Project: Apache Arrow
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Joris Van den Bossche commented on ARROW-6737:
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I noticed that reading this file on master
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Joris Van den Bossche commented on ARROW-5655:
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[~kszucs] I think this might already be
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Joris Van den Bossche reassigned ARROW-5855:
Assignee: Joris Van den Bossche
> [Python] Add support for Duration type
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Joris Van den Bossche edited comment on ARROW-6623 at 9/20/19 9:33 AM:
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Joris Van den Bossche commented on ARROW-6623:
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I opened an issue on the dask tracker:
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Joris Van den Bossche commented on ARROW-6551:
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OK, I see there is already ARROW-6623 for
Joris Van den Bossche created ARROW-5603:
Summary: [Python] registere pytest markers to avoid warnings
Key: ARROW-5603
URL: https://issues.apache.org/jira/browse/ARROW-5603
Project: Apache
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Joris Van den Bossche updated ARROW-5603:
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Description:
Currently the python test suite gives warnings like:
{code}
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Joris Van den Bossche commented on ARROW-5888:
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The Parquet file format has no notion of
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Joris Van den Bossche reassigned ARROW-5873:
Assignee: Joris Van den Bossche
> [Python][C++] Segmentation fault when
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Joris Van den Bossche commented on ARROW-5889:
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This is very much related to ARROW-5878 /
Joris Van den Bossche created ARROW-5890:
Summary: [C++][Python] Support ExtensionType arrays in more kernels
Key: ARROW-5890
URL: https://issues.apache.org/jira/browse/ARROW-5890
Project:
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Joris Van den Bossche updated ARROW-5890:
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Fix Version/s: 1.0.0
> [C++][Python] Support ExtensionType arrays in more
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Joris Van den Bossche updated ARROW-5450:
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Fix Version/s: 1.0.0
> [Python] TimestampArray.to_pylist() fails with
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Joris Van den Bossche updated ARROW-5889:
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Fix Version/s: 0.14.1
> [Python][C++] Parquet backwards compat for timestamps
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Joris Van den Bossche commented on ARROW-5889:
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[~fjetter] thanks for the testing and the
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Joris Van den Bossche closed ARROW-5857.
Resolution: Duplicate
There was actually already an open issue for this:
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Joris Van den Bossche reassigned ARROW-5790:
Assignee: Joris Van den Bossche
> [Python] Passing zero-dim numpy array
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Joris Van den Bossche commented on ARROW-5895:
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[~johwilso1] Thanks for the report. Can you
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Joris Van den Bossche commented on ARROW-5610:
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I am trying to wrap my head around what is
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Joris Van den Bossche commented on ARROW-5895:
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So what changed in 0.14.0 compared to 0.13
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Joris Van den Bossche edited comment on ARROW-5895 at 7/9/19 10:07 PM:
Joris Van den Bossche created ARROW-7027:
Summary: [Python] pa.table(..) returns instead of raises error if
passing invalid object
Key: ARROW-7027
URL: https://issues.apache.org/jira/browse/ARROW-7027
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Joris Van den Bossche reassigned ARROW-7027:
Assignee: Joris Van den Bossche
> [Python] pa.table(..) returns instead
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Joris Van den Bossche commented on ARROW-7022:
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In the end, this appears not related to the
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Joris Van den Bossche commented on ARROW-6820:
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To see the description in the (old) docs,
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Joris Van den Bossche commented on ARROW-7071:
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> NB: I'm not sure what kind of pitfalls
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Joris Van den Bossche commented on ARROW-7071:
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Now, I think the main question is: what API
Joris Van den Bossche created ARROW-7068:
Summary: [C++] Expose the offsets of a ListArray as a Int32Array
Key: ARROW-7068
URL: https://issues.apache.org/jira/browse/ARROW-7068
Project: Apache
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Joris Van den Bossche edited comment on ARROW-7076 at 11/6/19 2:31 PM:
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Joris Van den Bossche commented on ARROW-7076:
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There are not yet binary wheels available
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Joris Van den Bossche commented on ARROW-7076:
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See ARROW-6920 for wheels for Python 3.8 (I
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Joris Van den Bossche commented on ARROW-7039:
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Ah, this was probably never covered by the
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Joris Van den Bossche updated ARROW-6579:
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Component/s: Python
> [Python] Parallel pyarrow.parquet.write_to_dataset
>
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Joris Van den Bossche updated ARROW-6579:
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Labels: dataset (was: )
> [Python] Parallel pyarrow.parquet.write_to_dataset
>
Joris Van den Bossche created ARROW-7031:
Summary: [Python] Expose the offsets of a ListArray in python
Key: ARROW-7031
URL: https://issues.apache.org/jira/browse/ARROW-7031
Project: Apache
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Joris Van den Bossche commented on ARROW-7031:
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While looking at this, I bumped into the
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Joris Van den Bossche commented on ARROW-6820:
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If both C++ and Java use "entries", we can
Joris Van den Bossche created ARROW-7154:
Summary: [C++] Build error when building tests but not with snappy
Key: ARROW-7154
URL: https://issues.apache.org/jira/browse/ARROW-7154
Project:
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Joris Van den Bossche updated ARROW-7154:
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Description:
Since the docker-compose PR landed, I am having build errors like:
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Joris Van den Bossche commented on ARROW-7154:
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Creating a new conda env from scratch (which
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Joris Van den Bossche updated ARROW-7168:
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Summary: [Python] pa.array() doesn't respect specified dictionary type
(was:
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Joris Van den Bossche commented on ARROW-7168:
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[~buhrmann] thanks for the report. When
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Joris Van den Bossche updated ARROW-7168:
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Summary: [Python] pa.array() doesn't respect provided dictionary type with
all
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Joris Van den Bossche resolved ARROW-7023.
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Resolution: Fixed
Issue resolved by pull request 5753
Joris Van den Bossche created ARROW-7066:
Summary: [Python] support returning ChunkedArray from
__arrow_array__ ?
Key: ARROW-7066
URL: https://issues.apache.org/jira/browse/ARROW-7066
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Joris Van den Bossche commented on ARROW-7063:
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I also ran into this recently when looking
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https://issues.apache.org/jira/browse/ARROW-3444?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joris Van den Bossche reassigned ARROW-3444:
Assignee: Joris Van den Bossche
> [Python] Table.nbytes attribute
>
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https://issues.apache.org/jira/browse/ARROW-7222?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16979135#comment-16979135
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Joris Van den Bossche commented on ARROW-7222:
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It's indeed a different problem (and solving
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https://issues.apache.org/jira/browse/ARROW-7222?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16979100#comment-16979100
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Joris Van den Bossche commented on ARROW-7222:
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It could also be an option to keep older
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https://issues.apache.org/jira/browse/ARROW-1644?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16979326#comment-16979326
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Joris Van den Bossche commented on ARROW-1644:
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[~RinkeHoekstra] that looks unrelated (the
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https://issues.apache.org/jira/browse/ARROW-7226?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16979375#comment-16979375
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Joris Van den Bossche commented on ARROW-7226:
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So this may not be adequately documented,
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https://issues.apache.org/jira/browse/ARROW-7296?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joris Van den Bossche reassigned ARROW-7296:
Assignee: Joris Van den Bossche
> [Python] Add ORC api documentation
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https://issues.apache.org/jira/browse/ARROW-7305?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joris Van den Bossche updated ARROW-7305:
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Labels: parquet (was: )
> [Python] High memory usage writing pyarrow.Table to
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https://issues.apache.org/jira/browse/ARROW-7305?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joris Van den Bossche updated ARROW-7305:
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Summary: [Python] High memory usage writing pyarrow.Table with large
strings to
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https://issues.apache.org/jira/browse/ARROW-7345?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joris Van den Bossche updated ARROW-7345:
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Labels: dataset parquet (was: parquet)
> [Python] Writing partitions with NaNs
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https://issues.apache.org/jira/browse/ARROW-7345?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joris Van den Bossche updated ARROW-7345:
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Labels: parquet (was: )
> [Python] Writing partitions with NaNs silently drops
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