pitrou closed pull request #10490:
URL: https://github.com/apache/arrow/pull/10490
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github-actions[bot] commented on pull request #10499:
URL: https://github.com/apache/arrow/pull/10499#issuecomment-858386755
Revision: c306cd70ea240d7d90b86c1688308dcc22301b2a
Submitted crossbow builds: [ursacomputing/crossbow @
edrevo opened a new issue #534:
URL: https://github.com/apache/arrow-datafusion/issues/534
https://github.com/apache/arrow-datafusion/blob/bdae93b9365ef5892e686915250d42e927d00620/ballista/rust/client/src/context.rs#L225
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pitrou commented on a change in pull request #10445:
URL: https://github.com/apache/arrow/pull/10445#discussion_r648947602
##
File path: r/src/altrep.cpp
##
@@ -0,0 +1,180 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+// or more contributor license
edrevo commented on a change in pull request #535:
URL: https://github.com/apache/arrow-datafusion/pull/535#discussion_r648949167
##
File path: ballista/rust/client/src/context.rs
##
@@ -68,6 +74,32 @@ impl BallistaContextState {
}
}
+struct WrappedStream {
+
edrevo commented on a change in pull request #535:
URL: https://github.com/apache/arrow-datafusion/pull/535#discussion_r648949167
##
File path: ballista/rust/client/src/context.rs
##
@@ -68,6 +74,32 @@ impl BallistaContextState {
}
}
+struct WrappedStream {
+
pitrou commented on a change in pull request #10482:
URL: https://github.com/apache/arrow/pull/10482#discussion_r648968980
##
File path: cpp/src/arrow/util/parallel.h
##
@@ -44,6 +45,25 @@ Status ParallelFor(int num_tasks, FUNCTION&& func,
return st;
}
+template
xhochy commented on pull request #10499:
URL: https://github.com/apache/arrow/pull/10499#issuecomment-858439690
@github-actions crossbow submit conda-osx-clang-py36-r40
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jorisvandenbossche commented on pull request #10457:
URL: https://github.com/apache/arrow/pull/10457#issuecomment-858395074
I think it would be good to write some tests in python as well, as currently
the C++ tests are very hard to verify since we don't yet have the ability to
parse
edrevo opened a new pull request #535:
URL: https://github.com/apache/arrow-datafusion/pull/535
# Which issue does this PR close?
Closes #534.
# Rationale for this change
The collect implementation in BallistaContext is bringing all of the
contents in memory even though
pitrou commented on a change in pull request #10494:
URL: https://github.com/apache/arrow/pull/10494#discussion_r648955618
##
File path: cpp/src/arrow/compute/kernels/scalar_string.cc
##
@@ -2288,6 +2288,164 @@ const FunctionDoc replace_substring_regex_doc(
{"strings"},
codecov-commenter commented on pull request #535:
URL: https://github.com/apache/arrow-datafusion/pull/535#issuecomment-858448053
#
jorisvandenbossche commented on pull request #10457:
URL: https://github.com/apache/arrow/pull/10457#issuecomment-858486248
> Localize kernel would be great. I suppose we'd need a scalar and a vector
one depending if timezone is shared between rows or not?
I think a scalar kernel is
pitrou commented on pull request #10471:
URL: https://github.com/apache/arrow/pull/10471#issuecomment-858388150
Can you rebase this @lidavidm ?
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jorisvandenbossche commented on pull request #10457:
URL: https://github.com/apache/arrow/pull/10457#issuecomment-858491335
Another question: is the `locate_zone` configurable in some way to give some
hints where to find the tz database?
The database is not always available on the
Jimexist opened a new pull request #536:
URL: https://github.com/apache/arrow-datafusion/pull/536
# Which issue does this PR close?
Closes #.
# Rationale for this change
# What changes are included in this PR?
# Are there any user-facing changes?
codecov-commenter commented on pull request #532:
URL: https://github.com/apache/arrow-datafusion/pull/532#issuecomment-858336030
#
codecov-commenter edited a comment on pull request #532:
URL: https://github.com/apache/arrow-datafusion/pull/532#issuecomment-858336030
#
jorgecarleitao opened a new issue #533:
URL: https://github.com/apache/arrow-datafusion/issues/533
As a user of DataFusion, I would like to be able to install custom parsing
rules of SQL to DataFusion, so that I can plan custom nodes from SQL.
This would allow me to extend
pitrou commented on pull request #10486:
URL: https://github.com/apache/arrow/pull/10486#issuecomment-858387939
@jorisvandenbossche has a good point. The only reason to define these
kernels is for consistency. But always returning null doesn't seem consistent
with current behaviour of the
jorisvandenbossche commented on pull request #10176:
URL: https://github.com/apache/arrow/pull/10176#issuecomment-858392898
Cool, this is a nice start for datetime kernels!
@thisisnic opened a JIRA for expsosing those in R as well
(https://issues.apache.org/jira/browse/ARROW-13022)
rok commented on pull request #10176:
URL: https://github.com/apache/arrow/pull/10176#issuecomment-858457355
Thanks @jorisvandenbossche @pitrou for the help and feedback! I'm very glad
this is merged! :)
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rok commented on pull request #10457:
URL: https://github.com/apache/arrow/pull/10457#issuecomment-858470970
> I think it would be good to write some tests in python as well, as
currently the C++ tests are very hard to verify since we don't yet have the
ability to parse strings localized
jorisvandenbossche commented on pull request #9948:
URL: https://github.com/apache/arrow/pull/9948#issuecomment-858472915
And thanks for the simplification! That's better ;)
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xhochy commented on pull request #10499:
URL: https://github.com/apache/arrow/pull/10499#issuecomment-858496056
@github-actions crossbow submit -g conda
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xhochy closed pull request #10499:
URL: https://github.com/apache/arrow/pull/10499
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rok commented on pull request #10457:
URL: https://github.com/apache/arrow/pull/10457#issuecomment-858500316
> I opened https://issues.apache.org/jira/browse/ARROW-13033 for this.
Nice, I was also writing it just now :)
The strptime timzone ignoring issue is
xhochy commented on pull request #10499:
URL: https://github.com/apache/arrow/pull/10499#issuecomment-858378151
@github-actions crossbow submit conda-osx-clang-py36-r40
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edrevo commented on pull request #535:
URL: https://github.com/apache/arrow-datafusion/pull/535#issuecomment-858407024
cc @andygrove
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Crystrix commented on pull request #10486:
URL: https://github.com/apache/arrow/pull/10486#issuecomment-858454595
Maybe we can keep a consistent behavior with numeric types.
For example,
- Count: keep the current implementation (return 0 for `skip_nulls` option,
otherwise return the
pitrou commented on issue #10488:
URL: https://github.com/apache/arrow/issues/10488#issuecomment-858370128
Perhaps @maartenbreddels can help here as he wrote the original example.
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jorisvandenbossche edited a comment on pull request #10457:
URL: https://github.com/apache/arrow/pull/10457#issuecomment-858395074
I think it would be good to write some tests in python as well, as currently
the C++ tests are very hard to verify since we don't yet have the ability to
bhargav-inthezone opened a new issue #10502:
URL: https://github.com/apache/arrow/issues/10502
hey !,
I'm working kaggle notebooks for a competition
!pip install vaex ## sucessfully installed
import vaex
print(vaex.__version__)
garyanaplan commented on issue #349:
URL: https://github.com/apache/arrow-rs/issues/349#issuecomment-858440550
Yep. If I update my test to remove BOOLEAN from the schema, the problem goes
away. I've done some digging around today and noticed that it looks like the
problem might lie in the
projjal opened a new pull request #10501:
URL: https://github.com/apache/arrow/pull/10501
Vulnerabilities in current version:
[CVE-2018-10237](https://github.com/advisories/GHSA-mvr2-9pj6-7w5j)
[CVE-2020-8908](https://github.com/advisories/GHSA-5mg8-w23w-74h3)
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github-actions[bot] commented on pull request #10499:
URL: https://github.com/apache/arrow/pull/10499#issuecomment-858459815
Revision: b44f49618af8512142ce2678a62a8608379c47bd
Submitted crossbow builds: [ursacomputing/crossbow @
n3world opened a new pull request #10505:
URL: https://github.com/apache/arrow/pull/10505
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alamb closed issue #529:
URL: https://github.com/apache/arrow-datafusion/issues/529
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alamb merged pull request #530:
URL: https://github.com/apache/arrow-datafusion/pull/530
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rok commented on pull request #10457:
URL: https://github.com/apache/arrow/pull/10457#issuecomment-858694911
@jorisvandenbossche added the [python
tests](https://github.com/apache/arrow/pull/10457/commits/83b1e21a187c88d13e2b7a7589eac80f0a77a5b0).
Will add some more for timezone naive and
andygrove commented on pull request #532:
URL: https://github.com/apache/arrow-datafusion/pull/532#issuecomment-858751549
I will have time tomorrow to review this and other pending ballista PRs
On Thu, Jun 10, 2021, 9:47 AM QP Hou ***@***.***> wrote:
> ***@***. approved
jgoday commented on issue #420:
URL:
https://github.com/apache/arrow-datafusion/issues/420#issuecomment-858776910
Can I try to solve this issue ?
If I understand it correctly, for the non equal predicate the expression
should be pruned if the literal value does not fall between the
projjal commented on pull request #10411:
URL: https://github.com/apache/arrow/pull/10411#issuecomment-858352950
@kszucs Thanks for fixing this. Is there anything left to be done in this
patch?
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maartenbreddels commented on issue #10488:
URL: https://github.com/apache/arrow/issues/10488#issuecomment-858385035
It's been a while since I wrote the code in that repo, but it seems I only
added Double support:
pitrou closed pull request #9948:
URL: https://github.com/apache/arrow/pull/9948
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github-actions[bot] commented on pull request #10501:
URL: https://github.com/apache/arrow/pull/10501#issuecomment-858459973
https://issues.apache.org/jira/browse/ARROW-13032
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Jimexist opened a new pull request #539:
URL: https://github.com/apache/arrow-datafusion/pull/539
# Which issue does this PR close?
Closes #.
# Rationale for this change
a small refactor to hash aggregate planning phase
# What changes are included in this PR?
lidavidm commented on a change in pull request #10482:
URL: https://github.com/apache/arrow/pull/10482#discussion_r649318943
##
File path: cpp/src/parquet/arrow/reader.cc
##
@@ -1134,6 +1138,42 @@ Status FileReaderImpl::DecodeRowGroups(const
std::vector& row_groups,
return
pitrou closed pull request #10504:
URL: https://github.com/apache/arrow/pull/10504
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codecov-commenter edited a comment on pull request #532:
URL: https://github.com/apache/arrow-datafusion/pull/532#issuecomment-858336030
#
lidavidm commented on a change in pull request #10482:
URL: https://github.com/apache/arrow/pull/10482#discussion_r649348454
##
File path: cpp/src/arrow/util/parallel.h
##
@@ -44,6 +45,25 @@ Status ParallelFor(int num_tasks, FUNCTION&& func,
return st;
}
+template
pitrou commented on pull request #10471:
URL: https://github.com/apache/arrow/pull/10471#issuecomment-858780343
Hmm, there are conflicts now...
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lidavidm commented on pull request #10471:
URL: https://github.com/apache/arrow/pull/10471#issuecomment-858784119
It's because the tests overlap/I forgot to rename & move the test case for
ascii_replace_slice (now done).
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alamb opened a new pull request #538:
URL: https://github.com/apache/arrow-datafusion/pull/538
# Rationale for this change
The body of RepartitionExec::execute is long and highly indented, and has a
bunch of metrics related code that obscures how it works, in my opinion.
# What
alamb commented on a change in pull request #521:
URL: https://github.com/apache/arrow-datafusion/pull/521#discussion_r649260106
##
File path: datafusion/src/physical_plan/repartition.rs
##
@@ -308,6 +310,45 @@ impl RepartitionExec {
send_time_nanos:
alamb commented on a change in pull request #538:
URL: https://github.com/apache/arrow-datafusion/pull/538#discussion_r649259579
##
File path: datafusion/src/physical_plan/repartition.rs
##
@@ -132,132 +160,33 @@ impl ExecutionPlan for RepartitionExec {
//
codecov-commenter commented on pull request #444:
URL: https://github.com/apache/arrow-rs/pull/444#issuecomment-858736646
#
pitrou closed pull request #10494:
URL: https://github.com/apache/arrow/pull/10494
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jgoday commented on issue #420:
URL:
https://github.com/apache/arrow-datafusion/issues/420#issuecomment-85878
@alamb Can I try to solve this issue ?
If I understand it correctly, for the non equal predicate the expression
should be pruned if the literal value does not fall
alamb closed issue #528:
URL: https://github.com/apache/arrow-datafusion/issues/528
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alamb opened a new pull request #444:
URL: https://github.com/apache/arrow-rs/pull/444
re #292
Note: merging into `active_release` (not master)
I would like to propose a 4.3.0 Arrow release. Here is the changelog:
* a7656a8a3cd1f02e4543e1b971842ca92404f82a refactor
github-actions[bot] commented on pull request #10504:
URL: https://github.com/apache/arrow/pull/10504#issuecomment-858667423
https://issues.apache.org/jira/browse/ARROW-12937
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alamb merged pull request #527:
URL: https://github.com/apache/arrow-datafusion/pull/527
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alamb commented on pull request #527:
URL: https://github.com/apache/arrow-datafusion/pull/527#issuecomment-858696317
I am surprised Clippy didn't complain about this ;)
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alamb merged pull request #441:
URL: https://github.com/apache/arrow-rs/pull/441
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pitrou commented on a change in pull request #10471:
URL: https://github.com/apache/arrow/pull/10471#discussion_r649293252
##
File path: cpp/src/arrow/compute/kernels/scalar_string.cc
##
@@ -1001,21 +1058,51 @@ const FunctionDoc count_substring_doc(
"Null inputs emit
kszucs commented on pull request #10411:
URL: https://github.com/apache/arrow/pull/10411#issuecomment-858748288
We could and probably should list the expected artifacts for the crossbow
task so we see if anything is missing during the release process.
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kszucs commented on pull request #10411:
URL: https://github.com/apache/arrow/pull/10411#issuecomment-858758216
@github-actions crossbow submit java-jars
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codecov-commenter commented on pull request #520:
URL: https://github.com/apache/arrow-datafusion/pull/520#issuecomment-858784623
#
garyanaplan commented on pull request #443:
URL: https://github.com/apache/arrow-rs/pull/443#issuecomment-858802185
Ok. I'm finished poking this now. I've isolated the changes required to 2
files and eliminated the original runtime impact from the PlainEncoder.
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Jimexist commented on pull request #530:
URL: https://github.com/apache/arrow-datafusion/pull/530#issuecomment-858712328
> Looks great @Jimexist -- thanks
yeah window functions are _hard_
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github-actions[bot] commented on pull request #10505:
URL: https://github.com/apache/arrow/pull/10505#issuecomment-858713053
https://issues.apache.org/jira/browse/ARROW-12995
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alamb commented on a change in pull request #444:
URL: https://github.com/apache/arrow-rs/pull/444#discussion_r649304786
##
File path: CHANGELOG.md
##
@@ -18,3 +43,72 @@ For older versions, see
[apache/arrow/CHANGELOG.md](https://github.com/apache/ar
*
lidavidm commented on a change in pull request #10482:
URL: https://github.com/apache/arrow/pull/10482#discussion_r649320187
##
File path: cpp/src/parquet/arrow/reader.cc
##
@@ -1024,31 +1027,32 @@ class RowGroupGenerator {
::arrow::internal::Executor* cpu_executor,
jgoday removed a comment on issue #420:
URL:
https://github.com/apache/arrow-datafusion/issues/420#issuecomment-858776910
Can I try to solve this issue ?
If I understand it correctly, for the non equal predicate the expression
should be pruned if the literal value does not fall
github-actions[bot] commented on pull request #10411:
URL: https://github.com/apache/arrow/pull/10411#issuecomment-858780758
Revision: ccf7e36fd2c1f9eb30f5af634b1cdd979f569e70
Submitted crossbow builds: [ursacomputing/crossbow @
cyb70289 commented on a change in pull request #10364:
URL: https://github.com/apache/arrow/pull/10364#discussion_r649056718
##
File path: cpp/src/arrow/compute/kernels/scalar_arithmetic_test.cc
##
@@ -1148,5 +1148,326 @@ TYPED_TEST(TestUnaryArithmeticFloating, AbsoluteValue)
github-actions[bot] commented on pull request #10499:
URL: https://github.com/apache/arrow/pull/10499#issuecomment-858511027
Revision: b44f49618af8512142ce2678a62a8608379c47bd
Submitted crossbow builds: [ursacomputing/crossbow @
codecov-commenter commented on pull request #536:
URL: https://github.com/apache/arrow-datafusion/pull/536#issuecomment-858523152
#
garyanaplan opened a new pull request #443:
URL: https://github.com/apache/arrow-rs/pull/443
# Which issue does this PR close?
Closes #349 .
# Rationale for this change
When writing BOOLEAN data, writing more than 2048 rows of data will
overflow the hard-coded 256
garyanaplan commented on a change in pull request #443:
URL: https://github.com/apache/arrow-rs/pull/443#discussion_r649180581
##
File path: parquet/src/encodings/encoding.rs
##
@@ -153,7 +155,11 @@ impl Encoder for PlainEncoder {
#[inline]
fn put( self, values:
garyanaplan commented on issue #349:
URL: https://github.com/apache/arrow-rs/issues/349#issuecomment-858513251
More poking reveals that PlainEncoder has a bit_writer with a hard-coded
size of 256 (big enough to hold 2048 bits...).
`src/encodings/encoding.rs: line bit_writer:
Dandandan opened a new issue #537:
URL: https://github.com/apache/arrow-datafusion/issues/537
**Is your feature request related to a problem or challenge? Please describe
what you are trying to do.**
Min/max column statistics support doing statistics based optimizations, for
example
E-HO commented on issue #10492:
URL: https://github.com/apache/arrow/issues/10492#issuecomment-858591234
Nice.
Sorry for the doc who is legacy, a bit hard to discover like that. A
suggestion to add something more clear like a "deprecated flag, see the page
XXX" ?
In the
pitrou opened a new pull request #10503:
URL: https://github.com/apache/arrow/pull/10503
The option is only applicable to string and binary columns.
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cyb70289 commented on a change in pull request #10364:
URL: https://github.com/apache/arrow/pull/10364#discussion_r649057551
##
File path: cpp/src/arrow/compute/kernels/scalar_arithmetic_test.cc
##
@@ -1148,5 +1148,326 @@ TYPED_TEST(TestUnaryArithmeticFloating, AbsoluteValue)
alamb commented on issue #349:
URL: https://github.com/apache/arrow-rs/issues/349#issuecomment-858589145
@garyanaplan -- I think the best way to get feedback on the approach would
be to open a pull request
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garyanaplan commented on issue #349:
URL: https://github.com/apache/arrow-rs/issues/349#issuecomment-858592224
Yeah. I'm not really happy with it, because I don't love the special
handling for Booleans via the BitWriter. Just growing the buffer indefinitely
seems "wrong", but I think any
pitrou commented on pull request #9024:
URL: https://github.com/apache/arrow/pull/9024#issuecomment-858609702
Closing as superceded by #10410.
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pitrou closed pull request #9024:
URL: https://github.com/apache/arrow/pull/9024
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cyb70289 commented on a change in pull request #10364:
URL: https://github.com/apache/arrow/pull/10364#discussion_r649053658
##
File path: cpp/src/arrow/compute/kernels/scalar_arithmetic.cc
##
@@ -428,12 +524,69 @@ ArrayKernelExec ArithmeticExecFromOp(detail::GetTypeId
jorisvandenbossche edited a comment on pull request #10486:
URL: https://github.com/apache/arrow/pull/10486#issuecomment-858533111
`Count` is indeed certainly not a problem for "null" type (since it only
counting the values, not calculating anything with them). And also for `MinMax`
it
jorisvandenbossche commented on pull request #10486:
URL: https://github.com/apache/arrow/pull/10486#issuecomment-858533111
`Count` is indeed certainly not a problem for "null" type (since it only
counting the values, not calculating anything with them). And also for `MinMax`
it seems
jorisvandenbossche commented on issue #10492:
URL: https://github.com/apache/arrow/issues/10492#issuecomment-858572027
> The new API will accept a URL as a path although it currently only has
first-class support for S3 and HDFS
Small correction: it will accept a URI, but not a URL
alamb merged pull request #442:
URL: https://github.com/apache/arrow-rs/pull/442
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pitrou opened a new pull request #10504:
URL: https://github.com/apache/arrow/pull/10504
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pitrou commented on a change in pull request #10494:
URL: https://github.com/apache/arrow/pull/10494#discussion_r649217125
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File path: docs/source/cpp/compute.rst
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@@ -451,29 +451,33 @@ The third set of functions examines string elements on a
byte-per-byte basis:
String
garyanaplan commented on issue #349:
URL: https://github.com/apache/arrow-rs/issues/349#issuecomment-858568206
Looks like that hard-coded value (256) in the bit-writer is the root cause.
When writing, if we try to put > 2048 boolean values, then the writer just
"ignores" the writes. This
alamb closed issue #437:
URL: https://github.com/apache/arrow-datafusion/issues/437
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alamb merged pull request #521:
URL: https://github.com/apache/arrow-datafusion/pull/521
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