thisisnic edited a comment on pull request #10519:
URL: https://github.com/apache/arrow/pull/10519#issuecomment-860526967
Nice, thanks for submitting this PR! There is a test failure caused by the
calls to `abs()` on lines 146 and 149 in `test-dplyr-arrange.R` - the test
they're part of
kiszk commented on pull request #10501:
URL: https://github.com/apache/arrow/pull/10501#issuecomment-860560735
LGTM
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alamb commented on a change in pull request #443:
URL: https://github.com/apache/arrow-rs/pull/443#discussion_r650959936
##
File path: parquet/src/data_type.rs
##
@@ -661,8 +661,15 @@ pub(crate) mod private {
_: W,
bit_writer: BitWriter,
)
HashidaTKS opened a new pull request #10527:
URL: https://github.com/apache/arrow/pull/10527
This is a implementation of `DictionaryBatch` (de)serialization for the
streaming format.
- The (de)serialization for the file format or Flight are not implemented yet
- `isDelta` is not
lidavidm commented on a change in pull request #10520:
URL: https://github.com/apache/arrow/pull/10520#discussion_r650967107
##
File path: docs/source/cpp/compute.rst
##
@@ -682,17 +682,23 @@ String joining
This function does the inverse of string splitting.
kszucs commented on a change in pull request #439:
URL: https://github.com/apache/arrow-rs/pull/439#discussion_r650767379
##
File path: arrow/src/ffi.rs
##
@@ -208,15 +213,25 @@ impl FFI_ArrowSchema {
pub fn name() -> {
assert!(!self.name.is_null());
//
thisisnic commented on pull request #10519:
URL: https://github.com/apache/arrow/pull/10519#issuecomment-860526967
Nice, thanks for submitting this PR! There is a test failure caused by the
calls to `abs()` on lines 146 and 149 in `test-dplyr-arrange.R` - the test
they're part of
AlenkaF commented on pull request #10519:
URL: https://github.com/apache/arrow/pull/10519#issuecomment-860533901
Thank you for the comment @thisisnic! Of course, now I understand. I will
remove `expect_warning` from `test-dplyr-arrange.R` right away.
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jorisvandenbossche commented on pull request #10525:
URL: https://github.com/apache/arrow/pull/10525#issuecomment-860546883
I think ARROW-13026 is the correct issue?
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github-actions[bot] commented on pull request #10525:
URL: https://github.com/apache/arrow/pull/10525#issuecomment-860547152
https://issues.apache.org/jira/browse/ARROW-13026
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ianmcook commented on a change in pull request #10520:
URL: https://github.com/apache/arrow/pull/10520#discussion_r650963788
##
File path: docs/source/cpp/compute.rst
##
@@ -682,17 +682,23 @@ String joining
This function does the inverse of string splitting.
jorisvandenbossche commented on a change in pull request #10476:
URL: https://github.com/apache/arrow/pull/10476#discussion_r650962333
##
File path: cpp/src/arrow/compute/kernels/aggregate_basic.cc
##
@@ -166,32 +168,48 @@ struct BooleanAnyImpl : public ScalarAggregator {
ggershinsky commented on pull request #10450:
URL: https://github.com/apache/arrow/pull/10450#issuecomment-860738074
@pitrou @wesm This is the core PR for bringing Parquet encryption to PyArrow
and pandas.
Due to possible threading differences between the two frameworks, this PR
might
github-actions[bot] commented on pull request #10526:
URL: https://github.com/apache/arrow/pull/10526#issuecomment-860684718
https://issues.apache.org/jira/browse/ARROW-13048
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lidavidm opened a new pull request #10526:
URL: https://github.com/apache/arrow/pull/10526
Although the AWS SDK docs claim the caller must URL-encode the source path,
the actual SDK source URL-encodes the path for you. This double-encoding was
causing CopyFile to fail with a 404 not found
garyanaplan commented on pull request #443:
URL: https://github.com/apache/arrow-rs/pull/443#issuecomment-860712452
The problem with writing an effective test is that the error was only
detected on file read and the read behaviour was to hang indefinitely. Taken
together, those
alamb commented on pull request #443:
URL: https://github.com/apache/arrow-rs/pull/443#issuecomment-860740823
> I can think of ways to do that with a timeout and assume that if the read
doesn't finish within timeout, then it must have failed.
@garyanaplan I don't think we need to
lidavidm commented on pull request #10526:
URL: https://github.com/apache/arrow/pull/10526#issuecomment-860689176
Reference for AWS encoding the path for you:
codecov-commenter edited a comment on pull request #439:
URL: https://github.com/apache/arrow-rs/pull/439#issuecomment-857974778
#
alamb opened a new pull request #457:
URL: https://github.com/apache/arrow-rs/pull/457
# Which issue does this PR close?
Re #447
# Rationale for this change
While reviewing #448 I wanted to measure performance change
# What changes are included in this PR?
edrevo commented on a change in pull request #543:
URL: https://github.com/apache/arrow-datafusion/pull/543#discussion_r650881738
##
File path: ballista/rust/core/src/execution_plans/query_stage.rs
##
@@ -150,32 +159,150 @@ impl ExecutionPlan for QueryStageExec {
edrevo commented on a change in pull request #543:
URL: https://github.com/apache/arrow-datafusion/pull/543#discussion_r650883972
##
File path: ballista/rust/core/src/execution_plans/query_stage.rs
##
@@ -150,32 +159,150 @@ impl ExecutionPlan for QueryStageExec {
github-actions[bot] commented on pull request #10527:
URL: https://github.com/apache/arrow/pull/10527#issuecomment-860702579
https://issues.apache.org/jira/browse/ARROW-6870
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ggershinsky edited a comment on pull request #10450:
URL: https://github.com/apache/arrow/pull/10450#issuecomment-860738074
@pitrou @wesm This is the core PR for bringing Parquet encryption to PyArrow
and pandas.
Due to possible threading differences between the two frameworks, this PR
ritchie46 opened a new issue #458:
URL: https://github.com/apache/arrow-rs/issues/458
The released arrow version 4.3.0 does not compile with SIMD feature flags:
```
# compiles
=4.2: features = ["simd", "avx512"]# does not compile
=4.2: features = ["simd"]
=4.3: features =
kszucs commented on pull request #439:
URL: https://github.com/apache/arrow-rs/pull/439#issuecomment-860523380
Thanks for the review, I'm going to add more tests.
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alamb commented on issue #456:
URL: https://github.com/apache/arrow-rs/issues/456#issuecomment-860585543
It turns out my project had pinned the Rust toolchain to 1.51 and arrow now
requires 1.52. Updating the rust-toolchain pin solves the problem
```
diff --git a/rust-toolchain
alamb merged pull request #548:
URL: https://github.com/apache/arrow-datafusion/pull/548
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alamb merged pull request #414:
URL: https://github.com/apache/arrow-rs/pull/414
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alamb commented on a change in pull request #414:
URL: https://github.com/apache/arrow-rs/pull/414#discussion_r650956897
##
File path: arrow/src/array/array_binary.rs
##
@@ -613,6 +613,30 @@ impl Array for FixedSizeBinaryArray {
}
/// A type of `DecimalArray` whose
codecov-commenter commented on pull request #558:
URL: https://github.com/apache/arrow-datafusion/pull/558#issuecomment-860569767
#
alamb commented on issue #394:
URL: https://github.com/apache/arrow-rs/issues/394#issuecomment-860576942
@kazuk 4.3.0 has been released
https://crates.io/crates/arrow/4.3.0
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alamb opened a new issue #456:
URL: https://github.com/apache/arrow-rs/issues/456
**Describe the bug**
When I upgraded my project via `cargo update` and it picked up
https://crates.io/crates/arrow/4.3.0
I got the following error:
```
Compiling tracker v0.1.0
alamb commented on pull request #443:
URL: https://github.com/apache/arrow-rs/pull/443#issuecomment-860697522
@garyanaplan what would you say to using the reproducer from
https://github.com/apache/arrow-rs/issues/349 to test this issue? I realize
like it probably seems unnecessary for
HashidaTKS commented on pull request #10527:
URL: https://github.com/apache/arrow/pull/10527#issuecomment-860738406
cc: @eerhardt
Would you please review this when you have time?
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ggershinsky edited a comment on pull request #10450:
URL: https://github.com/apache/arrow/pull/10450#issuecomment-860738074
@pitrou @wesm This is the core PR for bringing Parquet encryption to PyArrow
and pandas.
Due to possible threading differences between the two frameworks, this PR
alamb commented on a change in pull request #443:
URL: https://github.com/apache/arrow-rs/pull/443#discussion_r651058305
##
File path: parquet/tests/boolean_writer.rs
##
@@ -0,0 +1,100 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+// or more contributor
alamb commented on a change in pull request #520:
URL: https://github.com/apache/arrow-datafusion/pull/520#discussion_r651068287
##
File path: datafusion/src/physical_plan/expressions/nth_value.rs
##
@@ -113,54 +111,32 @@ impl BuiltInWindowFunctionExpr for NthValue {
dianaclarke opened a new pull request #10528:
URL: https://github.com/apache/arrow/pull/10528
```
$ archery benchmark list
Traceback (most recent call last):
File "/Users/diana/envs/arrow/bin/archery", line 33, in
sys.exit(load_entry_point('archery', 'console_scripts',
github-actions[bot] commented on pull request #10528:
URL: https://github.com/apache/arrow/pull/10528#issuecomment-860812473
https://issues.apache.org/jira/browse/ARROW-13073
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alamb commented on a change in pull request #55:
URL: https://github.com/apache/arrow-datafusion/pull/55#discussion_r651124509
##
File path: datafusion/src/physical_plan/expressions/nth_value.rs
##
@@ -195,7 +195,7 @@ mod tests {
fn first_value() -> Result<()> {
kszucs opened a new pull request #10529:
URL: https://github.com/apache/arrow/pull/10529
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alamb commented on a change in pull request #561:
URL: https://github.com/apache/arrow-datafusion/pull/561#discussion_r651166362
##
File path: datafusion/src/physical_optimizer/pruning.rs
##
@@ -1190,6 +1162,34 @@ mod tests {
assert_eq!(result, expected);
}
+
alamb commented on pull request #443:
URL: https://github.com/apache/arrow-rs/pull/443#issuecomment-860783118
> I'd already written the test, just been in meetings. If we'd rather rely
on the test framework to terminate hanging tests, just remove the
thread/mpsc/channel stuff and do a
github-actions[bot] commented on pull request #10529:
URL: https://github.com/apache/arrow/pull/10529#issuecomment-860868416
https://issues.apache.org/jira/browse/ARROW-13075
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BryanCutler edited a comment on pull request #10513:
URL: https://github.com/apache/arrow/pull/10513#issuecomment-860884676
Thanks @lidavidm @liyafan82 , I made
https://issues.apache.org/jira/browse/ARROW-13076 for ExtensionTypeVector to
use ValueVector.
If this PR looks ok for
BryanCutler commented on pull request #10513:
URL: https://github.com/apache/arrow/pull/10513#issuecomment-860884676
Thanks @lidavidm , I made https://issues.apache.org/jira/browse/ARROW-13076
for ExtensionTypeVector to use ValueVector.
If this PR looks ok for union vectors, I'll
alamb commented on a change in pull request #55:
URL: https://github.com/apache/arrow-datafusion/pull/55#discussion_r651112853
##
File path: datafusion/src/logical_plan/dfschema.rs
##
@@ -208,6 +297,28 @@ impl Into for DFSchema {
}
}
+impl Into for {
+/// Convert
alamb opened a new issue #560:
URL: https://github.com/apache/arrow-datafusion/issues/560
**Describe the bug**
The logic for pruning on `!=` predicates introduced in
https://github.com/apache/arrow-datafusion/pull/544 is incorrect
**To Reproduce**
Use the pruning logic with a
alamb edited a comment on pull request #544:
URL: https://github.com/apache/arrow-datafusion/pull/544#issuecomment-860882163
I think we got the logic slightly backwards here -- see
https://github.com/apache/arrow-datafusion/issues/560. FYI @jgoday
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alamb commented on pull request #544:
URL: https://github.com/apache/arrow-datafusion/pull/544#issuecomment-860882163
I think we got the logic slightly backwards here -- see
https://github.com/apache/arrow-datafusion/issues/560
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jgoday commented on pull request #561:
URL: https://github.com/apache/arrow-datafusion/pull/561#issuecomment-860937695
> fyi @jgoday
@alamb, Sorry for introducing the bug, prune_not_eq_data test is much
clearer to me now. Thank you!
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alamb commented on pull request #510:
URL: https://github.com/apache/arrow-datafusion/pull/510#issuecomment-860786176
Arrow 4.3.0 has been released so if you rebase this PR it will likely be
ready to go
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alamb commented on pull request #55:
URL: https://github.com/apache/arrow-datafusion/pull/55#issuecomment-860846672
I suggest we get this PR rebased and merged asap to minimize conflicts
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bkietz commented on pull request #10511:
URL: https://github.com/apache/arrow/pull/10511#issuecomment-860852122
@lidavidm thanks for working on this!
>I don't like adding protected methods to a struct, and it's
inconsistent with how equality is implemented for other structs (via
alamb commented on pull request #342:
URL: https://github.com/apache/arrow-datafusion/pull/342#issuecomment-860786614
FYI arrow 4.3.0 has been released with the code in BooleanBufferBuilder
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Dandandan closed issue #512:
URL: https://github.com/apache/arrow-datafusion/issues/512
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Dandandan merged pull request #556:
URL: https://github.com/apache/arrow-datafusion/pull/556
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Dandandan commented on pull request #556:
URL: https://github.com/apache/arrow-datafusion/pull/556#issuecomment-860795232
Thanks @houqp
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alamb commented on pull request #546:
URL: https://github.com/apache/arrow-datafusion/pull/546#issuecomment-860810784
Just to be super clear, I am not suggesting we add a task scheduler as part
of adding window functions -- I was trying to say that I felt following the
existing pattern of
alamb commented on a change in pull request #561:
URL: https://github.com/apache/arrow-datafusion/pull/561#discussion_r651166362
##
File path: datafusion/src/physical_optimizer/pruning.rs
##
@@ -1190,6 +1162,34 @@ mod tests {
assert_eq!(result, expected);
}
+
jorisvandenbossche commented on pull request #10457:
URL: https://github.com/apache/arrow/pull/10457#issuecomment-860765541
> I'll wait for the consensus to build on the timezone handling discussions
before closing the PR and moving the python tests to a new PR.
I think there was no
codecov-commenter commented on pull request #457:
URL: https://github.com/apache/arrow-rs/pull/457#issuecomment-860769544
#
lidavidm commented on pull request #10520:
URL: https://github.com/apache/arrow/pull/10520#issuecomment-860785077
Or perhaps `element_wise_binary_join` since it's also `element_wise_min`?
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jorisvandenbossche commented on pull request #10520:
URL: https://github.com/apache/arrow/pull/10520#issuecomment-860792611
That would indeed be more consistent.
Personally, searching for the function / "tab-completion" in mind, I think
having the name start with "binary_join" or
thisisnic commented on pull request #10519:
URL: https://github.com/apache/arrow/pull/10519#issuecomment-860792424
Awesome, thanks! Another really minor change to suggest: the approach to
your unit tests is great; however, there's a helper function in the Arrow
package called
Dandandan commented on a change in pull request #543:
URL: https://github.com/apache/arrow-datafusion/pull/543#discussion_r651076922
##
File path: ballista/rust/core/src/execution_plans/query_stage.rs
##
@@ -150,32 +159,150 @@ impl ExecutionPlan for QueryStageExec {
alamb commented on a change in pull request #543:
URL: https://github.com/apache/arrow-datafusion/pull/543#discussion_r651085152
##
File path: ballista/rust/core/src/execution_plans/query_stage.rs
##
@@ -150,32 +159,150 @@ impl ExecutionPlan for QueryStageExec {
kiszk closed pull request #10525:
URL: https://github.com/apache/arrow/pull/10525
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lidavidm commented on pull request #10520:
URL: https://github.com/apache/arrow/pull/10520#issuecomment-860807360
Ah, maybe then we should rename `element_wise_min` to `min_element_wise`.
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alamb opened a new pull request #561:
URL: https://github.com/apache/arrow-datafusion/pull/561
Closes #560
# Rationale for this change
Logic is incorrect
# What changes are included in this PR?
1. Revert
garyanaplan commented on pull request #443:
URL: https://github.com/apache/arrow-rs/pull/443#issuecomment-860768278
I'd already written the test, just been in meetings. If we'd rather rely on
the test framework to terminate hanging tests, just remove the
thread/mpsc/channel stuff and do a
jorisvandenbossche commented on pull request #10520:
URL: https://github.com/apache/arrow/pull/10520#issuecomment-860784051
Some naming nitpicks ;)
I think "var_args_join" is not super clear. Having a notion about it being
for string data would be good, and the scalar list of string
Dandandan closed issue #557:
URL: https://github.com/apache/arrow-datafusion/issues/557
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Dandandan merged pull request #559:
URL: https://github.com/apache/arrow-datafusion/pull/559
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alamb commented on pull request #561:
URL: https://github.com/apache/arrow-datafusion/pull/561#issuecomment-860886806
I actually think I can still support not equals, I just need to make it a
bit more restricted
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alamb commented on a change in pull request #561:
URL: https://github.com/apache/arrow-datafusion/pull/561#discussion_r651166601
##
File path: datafusion/src/physical_optimizer/pruning.rs
##
@@ -1190,6 +1162,34 @@ mod tests {
assert_eq!(result, expected);
}
+
alamb edited a comment on pull request #544:
URL: https://github.com/apache/arrow-datafusion/pull/544#issuecomment-860882163
I think we got the logic a bit too aggressive see -- see
https://github.com/apache/arrow-datafusion/issues/560. FYI @jgoday
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ianmcook commented on pull request #10520:
URL: https://github.com/apache/arrow/pull/10520#issuecomment-860779304
Thanks for working on this @lidavidm!
I will add the relevant functions to the R bindings after this is merged
(ARROW-11514).
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jorisvandenbossche edited a comment on pull request #10520:
URL: https://github.com/apache/arrow/pull/10520#issuecomment-860784051
Some naming nitpicks ;)
I think "var_args_join" is not super clear. Having a notion about it being
for string data would be good, and the scalar list of
ianmcook commented on pull request #10520:
URL: https://github.com/apache/arrow/pull/10520#issuecomment-860817694
The use of "binary" in the names of these string join kernels is
unfortunate; it's not clear at first glance whether "binary" is a reference to
the arity or to the input type.
alamb commented on a change in pull request #55:
URL: https://github.com/apache/arrow-datafusion/pull/55#discussion_r651125970
##
File path: datafusion/src/physical_plan/planner.rs
##
@@ -56,6 +56,121 @@ use expressions::col;
use log::debug;
use std::sync::Arc;
+fn
AlenkaF commented on pull request #10519:
URL: https://github.com/apache/arrow/pull/10519#issuecomment-860853969
Sure, I am happy to do it. Thank you so much @thisisnic! Will let you know
if I get stuck ;)
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pitrou closed pull request #10529:
URL: https://github.com/apache/arrow/pull/10529
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alamb commented on pull request #561:
URL: https://github.com/apache/arrow-datafusion/pull/561#issuecomment-860896807
fyi @jgoday
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alamb removed a comment on pull request #561:
URL: https://github.com/apache/arrow-datafusion/pull/561#issuecomment-860886806
I actually think I can still support not equals, I just need to make it a
bit more restricted
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alamb commented on pull request #561:
URL: https://github.com/apache/arrow-datafusion/pull/561#issuecomment-860947331
> @alamb, Sorry for introducing the bug, prune_not_eq_data test is much
clearer to me now. Thank you!
No worries @jgoday -- both @Dandandan and I missed it on the
Dandandan commented on a change in pull request #561:
URL: https://github.com/apache/arrow-datafusion/pull/561#discussion_r651243733
##
File path: datafusion/src/physical_optimizer/pruning.rs
##
@@ -553,12 +553,14 @@ fn build_predicate_expression(
let corrected_op =
Jimexist commented on a change in pull request #520:
URL: https://github.com/apache/arrow-datafusion/pull/520#discussion_r651356971
##
File path: datafusion/src/physical_plan/expressions/nth_value.rs
##
@@ -113,54 +111,32 @@ impl BuiltInWindowFunctionExpr for NthValue {
Jimexist commented on pull request #429:
URL: https://github.com/apache/arrow-datafusion/pull/429#issuecomment-861103557
putting this back to draft as this relies on
https://github.com/apache/arrow-rs/pull/388 which is not yet in arrow 4.3
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lidavidm commented on pull request #10412:
URL: https://github.com/apache/arrow/pull/10412#issuecomment-860961527
@bkietz @jorisvandenbossche I know y'all are busy, but any other comments?
Once this is in, @nirandaperera can get started on ARROW-9431 on top of this
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ianmcook commented on pull request #10520:
URL: https://github.com/apache/arrow/pull/10520#issuecomment-861034008
I'm unclear on what the intended behavior is when you choose the {{SKIP}}
null handling behavior and the separator is an array. Could you describe that
please? Thanks
--
ianmcook edited a comment on pull request #10520:
URL: https://github.com/apache/arrow/pull/10520#issuecomment-861034008
I'm unclear on what the intended behavior is when you choose the `SKIP` null
handling behavior and the separator is an array. Could you describe that
please? Thanks
lidavidm edited a comment on pull request #10520:
URL: https://github.com/apache/arrow/pull/10520#issuecomment-861035926
The null handling behavior never affects the separator: it only describes
how to handle the other values. It's intended to let you mimic libcudf.
```
Jimexist commented on a change in pull request #520:
URL: https://github.com/apache/arrow-datafusion/pull/520#discussion_r651358846
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File path: datafusion/src/physical_plan/windows.rs
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@@ -156,31 +162,72 @@ impl WindowExpr for BuiltInWindowExpr {
alamb closed issue #560:
URL: https://github.com/apache/arrow-datafusion/issues/560
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alamb merged pull request #561:
URL: https://github.com/apache/arrow-datafusion/pull/561
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Jimexist commented on pull request #457:
URL: https://github.com/apache/arrow-rs/pull/457#issuecomment-861078612
was wondering what if you increase it to say 2^16?
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lidavidm opened a new pull request #10530:
URL: https://github.com/apache/arrow/pull/10530
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Dandandan commented on a change in pull request #561:
URL: https://github.com/apache/arrow-datafusion/pull/561#discussion_r651241366
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File path: datafusion/src/physical_optimizer/pruning.rs
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@@ -1190,6 +1192,34 @@ mod tests {
assert_eq!(result, expected);
}
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