's a C++ facility to do this, but it's not exposed in Python yet.
> I opened ARROW-7375 for it.
>
> Regards
>
> Antoine.
>
>
> Le 11/12/2019 à 19:36, Weston Pace a écrit :
> > I'm trying to combine multiple parquet files. They were produced at
> > different
I'm trying to combine multiple parquet files. They were produced at
different points in time and have different columns. For example, one has
columns A, B, C. Two has columns B, C, D. Three has columns C, D, E. I
want to concatenate all three into one table with columns A, B, C, D, E.
To do
> null,
> null,
> null,
> null,
> null,
> null,
> null
> ]
>
>
> Regards
>
> Antoine.
>
>
> Le 11/12/2019 à 21:08, Weston Pace a écrit :
> > Thanks. Ted, I tried using numpy similar to your approach and had the
> same
> >
If my table has timestamp fields with ns resolution and I save the table to
parquet format without specifying any timestamp args (default coerce and
legacy settings) then it automatically converts my timestamp to us
resolution.
As best I can tell Parquet supports ns resolution so I would prefer
actually sure what's required to write these. Using version='2.0' is
> not safe because our implementation of Parquet V2 data pages is
> incorrect (see PARQUET-458)
>
> So I'd recommend using the deprecated int96 flag if you need
> nanoseconds right now
>
> On Fri, Dec 6, 2019 at
It sounds like you are describing two problems.
1) Idleness - Tasks are holding threads in the thread pool while they
wait for IO or some long running non-CPU task to complete. These
threads are often in a "wait" state or something similar.
2) Fairness - The ordering of tasks is causing short
My C++ is pretty rusty but I'll see if I can come up with a concrete
CSV example / experiment / proof of concept on Friday when I have a
break from work.
On Tue, Sep 15, 2020 at 3:47 PM Wes McKinney wrote:
>
> On Tue, Sep 15, 2020 at 7:54 PM Weston Pace wrote:
> >
> > Yes.
an tasks do IO, resulting in suboptimal performance (the
> problems caused by this will be especially exacerbated when running
> against slower filesystems like Amazon S3)
>
> Hopefully the issues are more clear.
>
> Thanks
> Wes
>
> On Tue, Sep 15, 2020 at 2:57 PM Weston Pa
Hello Radu,
If your goal is strictly "append" with common schema then maybe the
terminology you are looking for is "append a parquet file to a parquet
dataset" and not "append a row group to a multi-file parquet file".
Parquet datasets (and arrow datasets) support having a common schema
which is
I created a RelativeFileSystem that extended FileSystem and proxied
calls to a LocalFileSystem instance. This filesystem allowed me to
specify a base directory and then all paths were resolved relative to
that base directory (so fs.open("foo.parquet") became
Actually my workaround (extending LocalFileSystem) does not work since
`open` is never called in this case and the path is not normalized to
the base directory.
On Tue, Aug 25, 2020 at 11:38 AM Weston Pace wrote:
>
> I created a RelativeFileSystem that extended FileSystem and proxied
&
instance for S3 access
elsewhere and so I'd rather reuse this if possible.
-Weston Pace
Forgive me if I am missing something obvious but I am unable to write
parquet files using the new filesystem API.
Here is what I am trying:
https://gist.github.com/westonpace/0c5ef01e21a40de5d16608b7f12de80d
I receive an error:
OSError: Unrecognized filesystem:
:
num_rows += row_group.num_rows
On Wed, Aug 26, 2020 at 10:06 AM Weston Pace wrote:
>
> Thanks Joris / Antoine,
>
> It appears I will have to learn the new datasets API. I can confirm
> that SubTreeFileSystem is working for me. In case there is still
> interest here is the code
Based on your description, I assume you are using the "legacy"
> LocalFileSystem.
> In the new filesystems, however, I think there is already the feature you
> are looking for, called "SubTreeFileSystem", created from a base directory
> and other filesystem instance.
alancing I/O vs. CPU
workload, balancing for fairness. It may not be obvious what exactly
to aim for.
On Mon, Sep 28, 2020 at 2:32 AM Antoine Pitrou wrote:
>
> Le 28/09/2020 à 11:38, Antoine Pitrou a écrit :
> >
> > Hi Weston,
> >
> > Le 25/09/2020 à 23:21, Westo
t; I don't have an intuition whether depth-first scheduling (what Julia
> > > > > is doing) or breadth-first scheduling (aka "work stealing" -- which is
> > > > > what Intel's TBB library does [1]) will work better for our use cases.
> >
is that there is no way to have a Julia
task that is performing blocking I/O (in the sense that a "thread pool
thread" is blocked on I/O. You can have blocking I/O in the
async/await sense where you are awaiting on I/O to maintain sequential
semantics.
On Wed, Sep 16, 2020 at 8:10 AM Weston P
ussion points was Julia's
> > > > task-based
> > > > multithreading model that has been part of the language for over a year
> > > > now. An announcement blogpost for Julia 1.3 laid out some of the details
> > > > and high-level app
; Antoine.
>
>
> >
> > Regards
> >
> > Antoine.
> >
> >
> > Le 26/10/2020 à 16:48, Weston Pace a écrit :
> >> Hi all,
> >>
> >> I've completed the initial composable futures API and iterator work.
> >> The CSV read
Hi all,
I've completed the initial composable futures API and iterator work.
The CSV reader portion is still WIP.
First, I'm interested in getting any feedback on the futures API. In
particular Future.Then in future.h (and the type erased
Composable.Compose). The actual implementation can
Just to be more specific. Since most JavaScript packages follow semantic
versioning that means that a change from 1.0.0 to 2.0.0 would imply that
there were breaking changes in the API (i.e. not backwards compatible). By
default, when declaring a dependency on a package that has a 1.X release,
I have a customer that has encountered what I believe to be
https://issues.apache.org/jira/browse/ARROW-9114
They are running Windows. They receive an illegal instruction exception on
pyarrow.parquet.read_table. Their processor (i5-3470) does not support
BMI2.
The customer is using the pypi
s/win-build.bat#L25
>
> On Wed, Jul 1, 2020 at 4:47 PM Weston Pace wrote:
> >
> > I have a customer that has encountered what I believe to be
> > https://issues.apache.org/jira/browse/ARROW-9114
> >
> > They are running Windows. They receive an illegal instru
Nick, it appears converting the ndarray to a dataframe clears the
contiguous flag even though it doesn't actually change the underlying
array. At least, this is what I'm seeing with my testing. My guess
is this is what is causing arrow to do a copy (arrow is indeed doing a
new allocation here,
ree to suggest
changes.
https://docs.google.com/document/d/1PmZFoSifV_TX4vXnv775WiOtqCgz5zLF5ryFRWio3HQ/edit?usp=sharing
One we align on the content we should probably have a PMC member
actually make the submission and be listed as contact person.
Thanks,
Weston Pace
Ursa Computing
e recently joined Ursa Computing
which will allow me more time to work on Arrow.
Thanks,
Weston Pace
[1]
https://docs.google.com/document/d/1tO2WwYL-G2cB_MCPqYguKjKkRT7mZ8C2Gc9ONvspfgo/edit?usp=sharing
[2] https://github.com/apache/arrow/pull/9095
[3]
https://mail-archives.apache.org/mod_mbox
> So it's wrong to put "timezone=UTC", because in Arrow, the 'timezone" field
> means, "how the data is *displayed*." The data isn't displayed as UTC.
I don't think users will generally be using Arrow to format timestamps
for display to the user. However, if it is, the correct thing to do
here
., 11 Jun. 2021, 00:45 Wes McKinney, wrote:
>
> > From this, it seems like seeding the RecordBatchStreamWriter's output
> > stream with a much larger preallocated buffer would improve
> > performance (depends on the allocator used of course).
> >
> > On Thu, Jun 10, 2021
1 at 5:34 PM Weston Pace wrote:
>
> I'm in no rush, so feel free to respond when you have time.
>
> > If the timezone field doesn't say how to display data to the user, and we
> > agree it doesn't describe how data is stored (since its very presence means
> > data
sounds to me like it is being proposed to eliminate the first of
> > these two data types. I understand the principles that might motivate
> > that, but I don't think that is something we can do at this time lest
> > we lose the ability to have high-fidelity interoperability with
FWIW, I tried this out yesterday since I was profiling the execution
of the async API reader. It worked great so +1 from me on that basis.
I did struggle finding a good simple visualization tool. Do you have
any good recommendations on that front?
On Mon, Jun 7, 2021 at 10:50 AM David Li
> While dedicated types are not strictly required, compute functions would
> be much easier to add for a first-class dedicated complex datatype
> rather than for an extension type.
@pitrou
This is perhaps a naive question (and admittedly, I'm not up to speed
on my compute kernels) but why is this
Just for some reference times from my system I created a quick test to
dump a ~1.7GB table to buffer(s).
Going to many buffers (just collecting the buffers): ~11,000ns
Going to one preallocated buffer: ~160,000,000ns
Going to one dynamically allocated buffer (using a grow factor of 2x):
use cases would be disenfranchised by requiring UTC normalization
> always.
>
> On Tue, Jun 15, 2021 at 3:16 PM Adam Hooper wrote:
> >
> > On Tue, Jun 15, 2021 at 1:19 PM Weston Pace wrote:
> >
> > > Arrow's "Timestamp with Timezone" can have fields ext
The only owner of input_batch that I can see here is the shared_ptr
that you are resetting so I would expect the memory to be freed.
How are you measuring memory usage? The dynamic allocators (mimalloc
/ jemalloc) don't always release memory as soon as they possibly can.
Even malloc will
at Arrow *doesn't* do something extremely useful. It's voting for a
> >> negative. That sounds painful! What if there were positives to vote for? An
> >> "INSTANT" type? A new TIMESTAMP metadata field, "instant" (on by default)?
> >> A fiat that timezone
Congratulations David!
On Mon, Jun 21, 2021 at 2:24 PM Niranda Perera wrote:
>
> Congrats David! :-)
>
> On Mon, Jun 21, 2021 at 6:32 PM Nate Bauernfeind
> wrote:
>
> > Congratulations! Well earned!
> >
> > On Mon, Jun 21, 2021 at 4:20 PM Ian Cook wrote:
> >
> > > Congratulations, David!
> > >
I agree that a vote would be a good idea. Do you want to start a
dedicated vote thread? I can write one up too if you'd rather.
-Weston
On Mon, Jun 21, 2021 at 4:54 PM Micah Kornfield wrote:
>
> I think comments on the doc are tailing off. Jorge's test cases I think
> still need some more
The discussion in [1] led to the following question. Before we
proceed on a vote it was decided we should do a straw poll to settle
on an approach (which can then be voted on in a +1/-1 fashion).
---
Some date & time libraries have three temporal concepts. For the sake
of this document we will
The discussion in [1] led to the following proposal which I would like
to submit for a vote.
---
Arrow allows a timestamp column to omit the time zone property. This
has caused confusion because some people have interpreted a timestamp
without a time zone to be an Instant while others have
/1QDwX4ypfNvESc2ywcT1ygaf2Y1R8SmkpifMV7gpJdBI/edit?usp=sharing
On Thu, Jun 24, 2021 at 9:24 AM Weston Pace wrote:
>
> The discussion in [1] led to the following question. Before we
> proceed on a vote it was decided we should do a straw poll to settle
> on an approach (which can then be voted on in a +
Thanks for the excellent summary everyone. I agree with these
summaries that have been pointed out. It seems like things are moving
towards consensus.
> I think Instant is what is represented as Arrow's Timestamp with Timezone.
> I don't think Arrow has a type for DateTime because we don't have
> >
> > On Wed, May 5, 2021 at 9:25 AM Kazuaki Ishizaki
> > wrote:
> > >
> > > +1, great
> > >
> > > Weston Pace wrote on 2021/05/04 20:41:34:
> > >
> > > > From: Weston Pace
> > > > To: dev@arrow.a
:21 PM Antoine Pitrou wrote:
> >
> >
> > Le 12/05/2021 à 21:19, Weston Pace a écrit :
> > > The parquet format has a "field id" concept (unique integer identifier
> > > for a column) that gets promoted in the C++ implementation to a
> > > key
So, checking my understanding, let's imagine a hypothetical scenario.
* There is a data scientist that is well versed in pandas
* There is a project team working in kotlin
* The project team wants to use the data scientists' code in their project.
# Transpilation
The transpilation approach
Congratulations Ben!
On Wed, May 5, 2021 at 6:48 PM Micah Kornfield
wrote:
> Congrats!
>
> On Wed, May 5, 2021 at 4:33 PM David Li wrote:
>
> > Congrats Ben! Well deserved.
> >
> > Best,
> > David
> >
> > On Wed, May 5, 2021, at 19:22, Neal Richardson wrote:
> > > Congrats Ben!
> > >
> > >
FWIW, combining marks were not actually added to support emojis. Emojis
are just one of the more popular uses of the feature. Combining marks is a
standard Unicode feature necessary to represent single “characters” in some
complex situations (e.g. when it is necessary to distinguish between
> “Apache Arrow is a format and compute kernel for in-memory data”
I like this but no one ever knows what "in-memory" means (or they just
think 'data is always in memory'). How about...
"Apache Arrow is a format and compute kernel for zero-copy processing
and sharing of data."
or...
"Apache
>
> > On Mon, May 17, 2021 at 3:06 PM Wes McKinney wrote:
> >
> > > On Mon, May 17, 2021 at 4:58 PM Weston Pace
> > wrote:
> > > >
> > > > > “Apache Arrow is a format and compute kernel for in-memory data”
> > > >
> > >
The parquet format has a "field id" concept (unique integer identifier
for a column) that gets promoted in the C++ implementation to a
key/value pair in the field's metadata. This has led me to a few
questions around how this field (or metadata in general) interacts
with higher level APIs.
1)
I like Yibo's stack overflow theory given the "error reading variable"
but I did confirm that I can cause a segmentation fault if
std::atomic_store / std::atomic_load are unavailable. I simulated
this by simply commenting out the specializations rather than actually
run against GCC 4.9.2 so it
I spoke a while ago about working on a multithreaded stress test
suite. I have put together some very early details[1]. I would
appreciate any feedback.
The goal would be to stress test the C++ dataset API (and soon C++
execution plans and perhaps someday a language independent logical
plan /
thub.com/Crunch-io/diagnose#breakpoints )
>
> On Wed, May 19, 2021 at 9:01 AM Antoine Pitrou wrote:
>
> >
> > Le 19/05/2021 à 07:37, Weston Pace a écrit :
> > > I spoke a while ago about working on a multithreaded stress test
> > > suite. I have put together some very
What compiler / glibc version are you using?
arrow::SimpleRecordBatch::column does some non-trivial caching which
uses std::atomic_load[1] which is not implemented properly on gcc < 5
so our behavior is different depending on the compiler version.
[1]
With that in mind it seems the somewhat recurring discussion on coming
up with a language independent standard for logical query plans
(https://lists.apache.org/thread.html/rfab15e09c97a8fb961d6c5db8b2093824c58d11a51981a40f40cc2c0%40%3Cdev.arrow.apache.org%3E)
would be relevant. Each test case
How does one decide between "utility function" and "compute function"?
For example, https://issues.apache.org/jira/browse/ARROW-12739 is
very similar to StructArray::Make which is implemented as a static
function. However, 12739 would require pool allocation (to
concatenate the list items into
> We are recommending that the behavior of
> these functions should consistently have the UTC interpretation of the
> value rather than using the system locale. This is what Python does
> with "tz-naive" datetime.datetime objects
This is not quite true, although perhaps my reading is incorrect.
The C++ code base currently has a mix of ALL_CAPS (e.g.
arrow::ValueDescr::Shape, seems to be favored in arrow::compute::),
CapWords (e.g. arrow::StatusCode), and kCapWords (e.g.
arrow::DecimalStatus, not common in arrow:: but used in gandiva:: and
technically what the Google style guide
I investigated the cpython approach and the PR labelling is a part of
the existing bedevere bot which does a number of things (not all
relevant to Arrow). Yesterday I created a standalone Github action[1]
dedicated to this task roughly based on my previous email. It will
apply "awaiting-review"
I don't know about removal but you could probably ignore the timezone
string and it's not clear the issues would be that significant.
If Rust never produces a non-null non-UTC timestamp then I don't see
that as an issue.
If you are consuming data with a timestamp string other than UTC it
isn't
ity would be the biggest issue; how much does C++ do with the
> timezone string?
>
> -Evan
>
> > On Jul 7, 2021, at 1:33 PM, Weston Pace wrote:
> >
> > I don't know about removal but you could probably ignore the timezone
> > string and it's not clear the issues
Can you leave the ones marked “in progress” or that have the
pull-request-available label?
On Thu, Jul 1, 2021 at 11:06 PM Alessandro Molina <
alessan...@ursacomputing.com> wrote:
> Hi everybody,
>
> Given that the expected time for release 5.0.0 is approaching and there are
> 160+ Jira issues
I apologize. I did plan on working on this but it's taken a back seat
for a while. I would still recommend shying away from a standalone
UI. You will end up making a lot of requests (and possibly running
into Github throttles) if you want detailed PR information for all of
the PRs. To work
Bryan Cutler wrote:
>
> C first choice, E second
>
> On Mon, Jun 28, 2021, 8:40 AM Julian Hyde wrote:
>
> > D
> >
> > (2nd choice E if we’re doing ranked-choice voting)
> >
> > Julian
> >
> > > On Jun 24, 2021, at 12:24 PM, Weston Pace wr
This vote is a result of previous discussion[1][2]. This vote is also
a prerequisite for the PR in [5].
---
Some date & time libraries have three temporal concepts. For the sake
of this document we will call them LocalDateTime, ZonedDateTime, and
Instant. An Instant is a timestamp that has no
] https://github.com/apache/arrow/pull/10629
On Fri, Jun 25, 2021 at 8:25 AM Jorge Cardoso Leitão
wrote:
>
> +1
>
> On Fri, Jun 25, 2021 at 7:47 PM Julian Hyde wrote:
>
> > +1
> >
> > > On Jun 25, 2021, at 10:36 AM, Antoine Pitrou wrote:
> > >
> >
Thank you everyone. I'm really enjoying working on such a great project.
On Fri, Jul 9, 2021 at 4:01 PM Neal Richardson
wrote:
>
> Congrats Weston!
>
> On Fri, Jul 9, 2021 at 11:53 AM Micah Kornfield
> wrote:
>
> > Congrats!
> >
> > On Fri, Jul 9, 2021 at 7:56 AM Benjamin Kietzman
> > wrote:
Feather V2 is currently synonymous with the IPC format. My impression
is that the feather terminology is now being deprecated in favor of
IPC. Do we want to start marking feather modules as deprecated (both
in code and the documentation) and more explicitly point users to the
newer
> Kazuaki Ishizaki
>
> "Weston Pace" wrote on 2021/06/30 18:52:46:
>
> > From: "Weston Pace"
> > To: dev@arrow.apache.org
> > Date: 2021/06/30 18:53
> > Subject: [EXTERNAL] [VOTE] Arrow should state a convention for
> > encoding instants a
I have used the custom metadata feature in the past. I used it to
track (for example) which variables were independent variables and
which were dependent variables. This was used as input for later
tools to help present the data.
> Is that how most people handle metadata they create the schema
We now have independent releases. There has been some discussion (not
sure if it was formalized) around aligning major release versions
across the languages.
There is also a potential format change coming up (new interval type).
I think this brings up a few questions...
Can an arrow library
;> Thanks for updating the draft.
> >>
> >> I want to wait for at least a weak before we start a vote.
> >> Does anyone have an opinion about file extension of Apache
> >> Arrow format data? What do you think about ".arrow"?
> >>
> >>
&
o align well with the
> > idea that Rust X.Y.Z is bundled as part of the arrow release.
> >
> > This does not address backward incompatible changes of the format, which is
> > a whole different beast (e.g. do we require all implementations to change
> > prior to releasing the
May 4, 2021 at 9:56 AM Jorge Cardoso Leitão <
> jorgecarlei...@gmail.com> wrote:
>
> > +1
> >
> > Also, great process, Weston.
> >
> > Best,
> > Jorge
> >
> >
> >
> > On Tue, May 4, 2021 at 6:48 PM Antoine Pitrou wrote:
> >
Per ARROW-7396 I would like to propose an application to the IANA to
register media types for the Arrow IPC formats (both file and
streaming).
The proposed application is available as [1]. It is based on previous
discussion in a draft [2] as well as two ML threads [3][4].
For reference, the
I'll also note that there could be other Fragments which may naturally have
> > intra-fragment parallelism, if the concern is mostly that ParquetScanTask
> > is a bit of an outlier. For instance, a hypothetical FlightFragment
> > wrapping a FlightInfo struct could generate multiple
I have been working the last few months on ARROW-7001 [0] which
enables nested parallelism by converting the dataset scanning to
asynchronous (previously announced here[1] and discussed here[2]). In
addition to enabling nested parallelism this also allows for parallel
readahead which gives
This is a bit of a follow-up on
https://issues.apache.org/jira/browse/ARROW-11782 and also a bit of a
consequence of my work on
https://issues.apache.org/jira/browse/ARROW-7001 (nested scan
parallelism).
I think the current dataset interface should be simplified.
Currently, we have Dataset ->*
point
> > > that scrolling through > 100 PRs in GitHub is not a good use of
> > > reviewer time, so creating some kind of "semantic layer" on top of the
> > > PR review queue (like what the Spark folks did) would help a great
> > > deal. So rathe
Hi, this might be a bit of a pedantic email but I'm going through and
cleaning up my code on some of my threading work and wondered about
the style guidelines around struct/class. Technically, the Google
style guide states...
---
structs should be used for passive objects that carry data, and
I used Arrow for this purpose in the past. I don't have much to add
but just a few thoughts off the top of my head...
* The line between data and metadata can be blurry - For most
measurements we were able to store the "expected distribution" as
metadata (e.g. this measurement should have an
It also seems like we're describing two different issues. The first,
a barrier to entry for new development. The second, overhead imposed
on an active developer. I'm personally not so worried about the
overhead imposed, perhaps because I can't write code that fast
anyways, so I'll stay out of
some kind of dashboard showing which
PRs need review and which have been waiting for review the longest.
Even without that, it would serve to make it clear to the submitter
and the reviewers where the action is.
-Weston Pace
t; concepts we can refer back to, especially if we further expand the
> > > utilities. While not many of us may be familiar with rxcpp already, at
> > > least we'd have a reference for how our utilities are supposed to work.
> > >
> > > Using the framework fo
It may be worth reaching out to the Airflow project. Based on
https://cwiki.apache.org/confluence/display/BUILDS/GitHub+Actions+status
it seems they have been investing time into figuring how to make
self-hosted runners work (it seems Github's patching model makes this
somewhat difficult).
On
> I'm assuming the idea is that the existing integration tests will remain in
> apache/arrow. Will you also run the integration test suites on your rust
> repository CI checks?
Furthermore, against what version will these tests run?
* If Arrow runs against the latest release of Rust then it
Nightly build triage (based on nightly builds from 4/9):
Failed Tasks:
- conda-linux-gcc-py36-aarch64:
ARROW-12324 (conda builds timing out, conda slow)
- conda-linux-gcc-py37-aarch64:
ARROW-12324 (conda builds timing out, conda slow)
- conda-osx-clang-py37-r40:
Appears to have been an
t>>>>>>>
>>
>> but basically the idea would be if you were to retrieve the data for a given
>> index of let’s say a state it would return all the cities and vectors of
>> data related to that given state.
>>
>> I also don’t know also if thi
I'm not sure if it is blocking (and it might even be expected given
the current status of jfrog) but I attempted to install the CentOS 7
RPM and got the following error when I ran `sudo yum update` after
installing the arrow repo rpm.
gt;
> It seems that you use old verification script. Could you
> confirm that you use the verification script on master?
>
> Thanks,
> --
> kou
>
> In
> "Re: [VOTE] Release Apache Arrow 4.0.0 - RC1" on Tue, 20 Apr 2021 11:23:25
> -1000,
> Weston Pace wrot
If it comes from pandas (and is eligible for zero-copy) then the
buffer implementation will be `NumPyBuffer`. Printing one in GDB
yields...
```
$12 = {_vptr.Buffer = 0x7f0b66e147f8 , is_mutable_ = true, is_cpu_ = true, data_
= 0x55b71f901a70 "\001", mutable_data_ = 0x0, size_ = 16, capacity_ =
t great hardship) to have a
> fallback to the non-async version (so there's a workaround if there
> end up being show-stopping bugs) then that's even better.
>
> On Wed, Apr 7, 2021 at 1:24 PM Weston Pace wrote:
> >
> > 1) Most of the committed changes have been of
much code as possible to use the
> > asynchronous model — per above, if there is a mechanism for async task
> > producers to coexist alongside with code that manually manages the
> > execution order of tasks generated by its task graph (thinking of
> > query engine code
fer is used)
>
> Our Julia tests use the following extensions:
>
> * vnd.apache.arrow.file: Not used (in-memory buffer is used)
> * vnd.apache.arrow.stream: Not used (in-memory buffer is used)
>
> Our Rust tests use the following extensions:
>
> * vnd.apache
I'm getting a failure during the download files check...
Traceback (most recent call last):
File "/home/centos/arrow/dev/release/download_rc_binaries.py", line
172, in
download_rc_binaries(args.version, args.rc_number, dest=args.dest,
File
+1
On Thu, Aug 19, 2021 at 9:18 AM Wes McKinney wrote:
>
> +1
>
> On Thu, Aug 19, 2021 at 6:20 PM Antoine Pitrou wrote:
> >
> >
> > Hello,
> >
> > I would like to propose clarifying the allowed value range for the Time
> > types. Specifically, I would propose that:
> >
> > 1) allowed values
My (incredibly naive) interpretation is that there are three problems to tackle.
1) How do you represent a graph and relational operators (join, union,
groupby, etc.)
- The PR appears to be addressing this question fairly well
2) How does a frontend query a backend to know what UDFs are
Congratulations Matt!
On Mon, Aug 30, 2021 at 5:36 PM Micah Kornfield wrote:
>
> On behalf of the Apache Arrow PMC, I'm happy to announce that Matt Topol
> has accepted an invitation to become a committer on Apache Arrow.
>
> Welcome and thank you for your contributions.
I believe you would need a JSON compatible version of the type system
(including binary values) because you'd need to at least encode
literals. However, I don't think that creating a human readable
encoding of the Arrow type system is a bad thing in and of itself. We
have tickets and get
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