Robert Nishihara created ARROW-1829:
---
Summary: [Plasma] Clean up eviction policy bookkeeping
Key: ARROW-1829
URL: https://issues.apache.org/jira/browse/ARROW-1829
Project: Apache Arrow
Issu
Great!
On Thu, Nov 16, 2017 at 3:04 PM Lewis John McGibbney
wrote:
> Fantastic Robert, thank you for the pointers.
> The documentation and graphics on ray github pages is very helpful.
> Lewis
>
> On 2017-11-16 11:20, Robert Nishihara wrote:
> > Yes definitely! You can do this through high leve
Fantastic Robert, thank you for the pointers.
The documentation and graphics on ray github pages is very helpful.
Lewis
On 2017-11-16 11:20, Robert Nishihara wrote:
> Yes definitely! You can do this through high level Python APIs, e.g.,
> something like
> https://github.com/apache/arrow/blob/ca3
For java, you can start by looking at this entry point:
https://github.com/dremio/dremio-oss/blob/master/sabot/kernel/src/main/java/com/dremio/exec/store/parquet/columnreaders/DeprecatedParquetVectorizedReader.java
Something that might actually be easier as an initial understanding
(simpler) is l
Hi Jacques,
Can you point me to where I get started e.g. with the converter?
Where does the Parquet --> Arrow one current exist?
Thank you
On 2017-11-16 10:42, Jacques Nadeau wrote:
> Welcome Lewis!
>
> The use case you outline makes a lot of sense for Arrow to help out
> with. We don't yet hav
Yes definitely! You can do this through high level Python APIs, e.g.,
something like
https://github.com/apache/arrow/blob/ca3acdc138b1ac27c9111b236d33593988689a20/python/pyarrow/tests/test_serialization.py#L214-L216
.
You can also share the numpy arrays using shared memory, e.g.,
https://issues.ap
Hi Folks,
Array-oriented scientific data (such as satellite remote sensing data) is
commonly encoded using NetCDF [0] and HDF [1] data formats as these formats
have been designed and developed to offer amongst other things, some/all of the
following features
* Self-Describing. A netCDF file in
Welcome Lewis!
The use case you outline makes a lot of sense for Arrow to help out
with. We don't yet have an AVRO <> Arrow converter written but it is
something that would be great to have. We'd all be happy to help if you're
interested in taking this on. The new improvements to the Arrow Java AP
Here are some more examples on how to interact between Plasma and Arrow:
http://arrow.apache.org/docs/python/plasma.html, see also the C++
documentation: http://arrow.apache.org/docs/cpp/md_tutorials_plasma.html
On Thu, Nov 16, 2017 at 10:31 AM, Philipp Moritz wrote:
> Hey Matthias,
>
> 1. The w
Hi Folks,
We've been working on GORA (Generic Object Representation using Avro) for some
years now. https://gora.apache.org
The framework provides an in-memory data model and persistence for big data.
Gora supports persisting to column stores, key value stores, document stores,
distributed in-
Hey Matthias,
1. The way it is done is as in
https://github.com/apache/arrow/blob/c6295f3b74bcc2fa9ea1b9442f922bf564669b8e/python/pyarrow/plasma.pyx#L394:
You first create the arrow object (using the builder from C++ or the python
functions), get it's size, create a plasma object of the required s
Wes McKinney created ARROW-1828:
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Summary: [C++] Implement hash kernel specialization for BooleanType
Key: ARROW-1828
URL: https://issues.apache.org/jira/browse/ARROW-1828
Project: Apache Arrow
Two question about Plasma; my use case is sharing Arrow data between a
C++ and Python application (eventually also R).
1. What's the typical memory allocation procedure when using Plasma and
Arrow? Do I first construct a builder, populate it, finish it, and
*then* copy it into mmaped buffe
Li Jin created ARROW-1827:
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Summary: [Java] Add checkstyle config file and header file
Key: ARROW-1827
URL: https://issues.apache.org/jira/browse/ARROW-1827
Project: Apache Arrow
Issue Type: Task
Siddharth Teotia created ARROW-1826:
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Summary: [JAVA] Avoid branching at cell level (copyFrom)
Key: ARROW-1826
URL: https://issues.apache.org/jira/browse/ARROW-1826
Project: Apache Arrow
Is
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