martin-liu commented on PR #13402:
URL: https://github.com/apache/arrow/pull/13402#issuecomment-1164017683
@lidavidm Got it, using warning makes sense to me, I added warning for
non-str index name following the mixed type warning pattern, do you think
that's good enough?
--
This is an
viirya commented on code in PR #1914:
URL: https://github.com/apache/arrow-rs/pull/1914#discussion_r904613522
##
arrow/src/util/decimal.rs:
##
@@ -17,124 +17,279 @@
//! Decimal related utils
-use std::cmp::Ordering;
+use crate::error::{ArrowError, Result};
+use num::bigint:
HaoYang670 commented on code in PR #1914:
URL: https://github.com/apache/arrow-rs/pull/1914#discussion_r904601961
##
arrow/src/util/decimal.rs:
##
@@ -17,124 +17,279 @@
//! Decimal related utils
-use std::cmp::Ordering;
+use crate::error::{ArrowError, Result};
+use num::big
kou commented on PR #13150:
URL: https://github.com/apache/arrow/pull/13150#issuecomment-1163971988
Done.
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codecov-commenter commented on PR #2775:
URL:
https://github.com/apache/arrow-datafusion/pull/2775#issuecomment-1163930449
#
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Ted-Jiang opened a new pull request, #2775:
URL: https://github.com/apache/arrow-datafusion/pull/2775
# Which issue does this PR close?
Closes #2768.
# Rationale for this change
Sometimes like in ballista we need pass multi-path in `ListingTableScanNode
`, like in spark
liukun4515 commented on code in PR #2764:
URL: https://github.com/apache/arrow-datafusion/pull/2764#discussion_r904499674
##
datafusion/physical-expr/src/planner.rs:
##
@@ -310,6 +313,8 @@ pub fn create_physical_expr(
&list_expr_data_type,
liukun4515 closed issue #2774: InList: Can't cast the list expr data type to
value expr data type directly
URL: https://github.com/apache/arrow-datafusion/issues/2774
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liukun4515 commented on issue #2774:
URL:
https://github.com/apache/arrow-datafusion/issues/2774#issuecomment-1163905413
duplicated issue about https://github.com/apache/arrow-datafusion/issues/2759
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liukun4515 opened a new issue, #2774:
URL: https://github.com/apache/arrow-datafusion/issues/2774
**Describe the bug**
In this pr and comment, we find a bug about data type coercion for the
Inlist expr
https://github.com/apache/arrow-datafusion/pull/2764/files#r904495595
**To Re
liukun4515 commented on code in PR #2764:
URL: https://github.com/apache/arrow-datafusion/pull/2764#discussion_r904495595
##
datafusion/physical-expr/src/planner.rs:
##
@@ -310,6 +313,8 @@ pub fn create_physical_expr(
&list_expr_data_type,
codecov-commenter commented on PR #1924:
URL: https://github.com/apache/arrow-rs/pull/1924#issuecomment-1163886204
#
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HaoYang670 commented on code in PR #1914:
URL: https://github.com/apache/arrow-rs/pull/1914#discussion_r904483995
##
arrow/src/util/decimal.rs:
##
@@ -17,124 +17,280 @@
//! Decimal related utils
-use std::cmp::Ordering;
+use crate::error::{ArrowError, Result};
+use num::big
liukun4515 commented on PR #2764:
URL:
https://github.com/apache/arrow-datafusion/pull/2764#issuecomment-1163879871
@alamb @andygrove @viirya PTAL
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HaoYang670 opened a new pull request, #1924:
URL: https://github.com/apache/arrow-rs/pull/1924
Signed-off-by: remzi <1371656737...@gmail.com>
# Which issue does this PR close?
None.
Related to #1918.
# Are there any user-facing changes?
No.
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liyongjing commented on issue #1915:
URL: https://github.com/apache/arrow-rs/issues/1915#issuecomment-1163873174
It looks incompatible that read/write category and filter message type using
arrow high-level api
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vibhatha commented on PR #13150:
URL: https://github.com/apache/arrow/pull/13150#issuecomment-1163869893
@kou need some help with the C-Glib, when I rebased I tried to fix it, but
didn't succeed. Appreciate your help.
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liukun4515 commented on code in PR #1922:
URL: https://github.com/apache/arrow-rs/pull/1922#discussion_r904473324
##
arrow/src/compute/kernels/cast.rs:
##
@@ -72,9 +72,9 @@ pub fn can_cast_types(from_type: &DataType, to_type:
&DataType) -> bool {
// cast one decimal ty
liukun4515 commented on code in PR #1922:
URL: https://github.com/apache/arrow-rs/pull/1922#discussion_r904472049
##
arrow/src/compute/kernels/cast.rs:
##
@@ -72,9 +72,9 @@ pub fn can_cast_types(from_type: &DataType, to_type:
&DataType) -> bool {
// cast one decimal ty
liukun4515 commented on issue #2759:
URL:
https://github.com/apache/arrow-datafusion/issues/2759#issuecomment-1163865423
In the spark, we can't compare decimal with boolean, but can compare decimal
with Null.
```
spark-sql> DESC T1;
c1 decimal(10,3)
spar
liukun4515 opened a new issue, #2773:
URL: https://github.com/apache/arrow-datafusion/issues/2773
From this test case, we can know that we should not treat Null as UTF8 data
type
_Originally posted by @liukun4515 in
https://github.com/apache/arrow-datafusion/pull/2764#discussion_r904
viirya commented on code in PR #1922:
URL: https://github.com/apache/arrow-rs/pull/1922#discussion_r904468878
##
arrow/src/compute/kernels/cast.rs:
##
@@ -72,9 +72,9 @@ pub fn can_cast_types(from_type: &DataType, to_type:
&DataType) -> bool {
// cast one decimal type t
liukun4515 commented on code in PR #2764:
URL: https://github.com/apache/arrow-datafusion/pull/2764#discussion_r904468132
##
datafusion/physical-expr/src/expressions/in_list.rs:
##
@@ -765,35 +909,38 @@ mod tests {
list,
&true,
vec -> bool {
/// replaces a column with an old n
kou commented on PR #13377:
URL: https://github.com/apache/arrow/pull/13377#issuecomment-1163778275
+1
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lidavidm commented on PR #12775:
URL: https://github.com/apache/arrow/pull/12775#issuecomment-1163777325
Do we also want to put the example in the Cookbook somehow? I feel like it's
a bit too long/involved to go there directly, but maybe we can cross-reference
it.
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lidavidm commented on code in PR #12775:
URL: https://github.com/apache/arrow/pull/12775#discussion_r904402488
##
cpp/examples/arrow/rapidjson_row_converter.cc:
##
@@ -0,0 +1,618 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+// or more contributor license ag
wjones127 commented on code in PR #13404:
URL: https://github.com/apache/arrow/pull/13404#discussion_r904397786
##
r/configure.win:
##
@@ -104,6 +105,10 @@ function configure_dev() {
PKG_CFLAGS="$PKG_CFLAGS -DARROW_R_WITH_S3"
fi
+ if [ $(cmake_option ARROW_GCS) -eq 1
lidavidm commented on code in PR #13109:
URL: https://github.com/apache/arrow/pull/13109#discussion_r904379120
##
python/pyarrow/_compute.pyx:
##
@@ -2198,7 +2198,14 @@ cdef class Expression(_Weakrefable):
---
cast : Expression
"""
-options
lidavidm commented on PR #13402:
URL: https://github.com/apache/arrow/pull/13402#issuecomment-1163754740
I think it doesn't work for mixed type, you should probably see a warning?
Regardless that was my original point - if it doesn't fully round-trip it's
not _necessarily_ a problem I
comphead commented on issue #2450:
URL:
https://github.com/apache/arrow-datafusion/issues/2450#issuecomment-1163751034
@tustvold for the test, which was before. This represents roundtrip for the
list
```
ScalarValue::List(
Some(vec![
martin-liu commented on PR #13402:
URL: https://github.com/apache/arrow/pull/13402#issuecomment-1163722508
@lidavidm After some debug, it seems like existing code has bug regarding
column names, see below example:
```python
>>> import pandas as pd
>>> import pyarrow as pa
martin-liu commented on code in PR #13402:
URL: https://github.com/apache/arrow/pull/13402#discussion_r904343035
##
python/pyarrow/tests/test_pandas.py:
##
@@ -149,6 +149,12 @@ def test_non_string_columns(self):
table = pa.Table.from_pandas(df)
assert table.fie
viirya commented on PR #1914:
URL: https://github.com/apache/arrow-rs/pull/1914#issuecomment-1163659143
Seems some unrelated errors in interop test between Go and C#:
```
# FAILURES #
FAILED TEST: datetime Go producing, C# consuming
1 failures
wjones127 commented on PR #13404:
URL: https://github.com/apache/arrow/pull/13404#issuecomment-1163658023
(I created docs follow up: https://issues.apache.org/jira/browse/ARROW-16887)
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jeroen commented on PR #13404:
URL: https://github.com/apache/arrow/pull/13404#issuecomment-1163655426
I think `find_package()` is supposed to shell out to `pkg-config --cflags
libcurl` and `pkg-config --libs libcurl` which should automatically include the
macro and static libraries when ne
nealrichardson commented on PR #13404:
URL: https://github.com/apache/arrow/pull/13404#issuecomment-1163637187
For the R Windows packages, I need to use a static libcurl, and stack
overflow tells me that I need to define `CURL_STATICLIB` for the
google-cloud-cpp build. (The thing I just pus
Yuhta commented on issue #13367:
URL: https://github.com/apache/arrow/issues/13367#issuecomment-1163616382
https://issues.apache.org/jira/browse/ARROW-16886
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Johnnathanalmeida commented on PR #13421:
URL: https://github.com/apache/arrow/pull/13421#issuecomment-1163616250
@github-actions crossbow submit java-jars
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arjunsr1 commented on issue #13396:
URL: https://github.com/apache/arrow/issues/13396#issuecomment-1163632271
This works- thanks! I'll close the issue then
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github-actions[bot] commented on PR #13421:
URL: https://github.com/apache/arrow/pull/13421#issuecomment-1163621089
Revision: 8438196a8b0f812e04acb496b7b7f81e9581aa07
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arjunsr1 closed issue #13396: Is the Arrow::Table.merge function in a working
state?
URL: https://github.com/apache/arrow/issues/13396
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kou commented on issue #13396:
URL: https://github.com/apache/arrow/issues/13396#issuecomment-1163596808
Could you use the former code in
https://github.com/apache/arrow/issues/13396#issuecomment-1162676527 for now?
We'll release a new version in 2022-07 or 2022-08.
See also: Preparing
kou merged PR #13418:
URL: https://github.com/apache/arrow/pull/13418
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kou commented on PR #13418:
URL: https://github.com/apache/arrow/pull/13418#issuecomment-1163593949
+1
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kou merged PR #13417:
URL: https://github.com/apache/arrow/pull/13417
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kou commented on PR #13417:
URL: https://github.com/apache/arrow/pull/13417#issuecomment-1163593473
+1
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kou merged PR #13308:
URL: https://github.com/apache/arrow/pull/13308
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kou commented on code in PR #13308:
URL: https://github.com/apache/arrow/pull/13308#discussion_r904216776
##
docs/source/developers/release.rst:
##
@@ -130,23 +181,28 @@ These are the different steps that are required to create
a release candidate.
# after you complete the
viirya commented on code in PR #1914:
URL: https://github.com/apache/arrow-rs/pull/1914#discussion_r904210422
##
arrow/src/util/decimal.rs:
##
@@ -17,109 +17,201 @@
//! Decimal related utils
-use std::cmp::Ordering;
+use crate::error::{ArrowError, Result};
+use num::bigint:
viirya commented on code in PR #1914:
URL: https://github.com/apache/arrow-rs/pull/1914#discussion_r904204855
##
arrow/src/util/decimal.rs:
##
@@ -17,109 +17,201 @@
//! Decimal related utils
-use std::cmp::Ordering;
+use crate::error::{ArrowError, Result};
+use num::bigint:
viirya commented on code in PR #1914:
URL: https://github.com/apache/arrow-rs/pull/1914#discussion_r901987661
##
arrow/src/util/decimal.rs:
##
@@ -17,109 +17,201 @@
//! Decimal related utils
-use std::cmp::Ordering;
+use crate::error::{ArrowError, Result};
+use num::bigint:
codecov-commenter commented on PR #2772:
URL:
https://github.com/apache/arrow-datafusion/pull/2772#issuecomment-1163564865
#
[Codecov](https://codecov.io/gh/apache/arrow-datafusion/pull/2772?src=pr&el=h1&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_
nealrichardson commented on code in PR #13404:
URL: https://github.com/apache/arrow/pull/13404#discussion_r904189404
##
r/src/filesystem.cpp:
##
@@ -331,3 +337,77 @@ std::string fs___S3FileSystem__region(const
std::shared_ptr& f
}
#endif
+
+#if defined(ARROW_R_WITH_GCS)
+
+
iChauster commented on PR #13366:
URL: https://github.com/apache/arrow/pull/13366#issuecomment-1163546329
@westonpace , I think this is ready for another round of review. I've
packaged some of the helpful benchmarking code into `benchmark_util.h`, and
have expanded our filter benchmarks. Gi
viirya commented on code in PR #1922:
URL: https://github.com/apache/arrow-rs/pull/1922#discussion_r904175802
##
arrow/src/compute/kernels/cast.rs:
##
@@ -72,9 +72,9 @@ pub fn can_cast_types(from_type: &DataType, to_type:
&DataType) -> bool {
// cast one decimal type t
viirya opened a new issue, #1923:
URL: https://github.com/apache/arrow-rs/issues/1923
**Describe the bug**
We allow casting from other datatypes to NullType (see `can_cast_types`). I
suspect that this is a mistake.
For example, Spark doesn't allow casting from any datatypes to
iChauster commented on code in PR #13366:
URL: https://github.com/apache/arrow/pull/13366#discussion_r904166211
##
cpp/src/arrow/compute/exec/filter_benchmark.cc:
##
@@ -0,0 +1,168 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+// or more contributor license
viirya commented on code in PR #1922:
URL: https://github.com/apache/arrow-rs/pull/1922#discussion_r904163992
##
arrow/src/compute/kernels/cast.rs:
##
@@ -72,9 +72,9 @@ pub fn can_cast_types(from_type: &DataType, to_type:
&DataType) -> bool {
// cast one decimal type t
mrob95 opened a new pull request, #2772:
URL: https://github.com/apache/arrow-datafusion/pull/2772
# Which issue does this PR close?
Follows from #2736 and #2765
# Rationale for this change
These functions were redundant with `ExprVisitor` and `ExprRewriter`
markweissman commented on issue #13408:
URL: https://github.com/apache/arrow/issues/13408#issuecomment-1163529320
@amol- Thanks much!
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amol- commented on issue #13408:
URL: https://github.com/apache/arrow/issues/13408#issuecomment-1163515796
Well, usually `NULL` values represent missing / unknown values thus there is
no way to match them against anything else. So it's usually the common
behaviour to exclude Null keys.
amol- closed issue #13408: Pyarrow join handles nulls differently than pandas
merge.
URL: https://github.com/apache/arrow/issues/13408
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github-actions[bot] commented on PR #13404:
URL: https://github.com/apache/arrow/pull/13404#issuecomment-1163508561
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nealrichardson commented on PR #13404:
URL: https://github.com/apache/arrow/pull/13404#issuecomment-1163507517
@github-actions crossbow submit homebrew-r-autobrew
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iChauster commented on code in PR #13366:
URL: https://github.com/apache/arrow/pull/13366#discussion_r904131551
##
cpp/src/arrow/compute/exec/filter_benchmark.cc:
##
@@ -0,0 +1,176 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+// or more contributor license
viirya commented on code in PR #1922:
URL: https://github.com/apache/arrow-rs/pull/1922#discussion_r904128739
##
arrow/src/compute/kernels/cast.rs:
##
@@ -72,9 +72,9 @@ pub fn can_cast_types(from_type: &DataType, to_type:
&DataType) -> bool {
// cast one decimal type t
viirya commented on code in PR #1922:
URL: https://github.com/apache/arrow-rs/pull/1922#discussion_r904128383
##
arrow/src/compute/kernels/cast.rs:
##
@@ -72,9 +72,9 @@ pub fn can_cast_types(from_type: &DataType, to_type:
&DataType) -> bool {
// cast one decimal type t
wjones127 commented on PR #12775:
URL: https://github.com/apache/arrow/pull/12775#issuecomment-1163488614
I have refactored this PR to only create an example, rebased so that the
RecordBatchBuilder changes are separated, and rewrote most of the prose in the
example.
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github-actions[bot] commented on PR #13411:
URL: https://github.com/apache/arrow/pull/13411#issuecomment-1163480151
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assignUser commented on PR #13411:
URL: https://github.com/apache/arrow/pull/13411#issuecomment-1163478660
@github-actions crossbow submit r-nightly-packages
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wjones127 commented on issue #13408:
URL: https://github.com/apache/arrow/issues/13408#issuecomment-1163470295
cc @amol-
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wjones127 commented on issue #13422:
URL: https://github.com/apache/arrow/issues/13422#issuecomment-1163469798
I'm not 100% sure about Intel -> M1, but we do use M1 -> Intel in our Python
packaging (which builds C++ with vcpkg for dependencies):
https://github.com/apache/arrow/blob/master/d
github-actions[bot] commented on PR #13421:
URL: https://github.com/apache/arrow/pull/13421#issuecomment-1163469295
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Johnnathanalmeida commented on PR #13421:
URL: https://github.com/apache/arrow/pull/13421#issuecomment-1163468036
@github-actions crossbow submit java-jars
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jayhomn-bitquill opened a new issue, #13422:
URL: https://github.com/apache/arrow/issues/13422
Does arrow currently support cross building for M1 Macs? (Intel -> M1). For
more context, we are currently also using a package manager called vcpkg with
the associated arm64-osx triplet
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github-actions[bot] commented on PR #13421:
URL: https://github.com/apache/arrow/pull/13421#issuecomment-1163445256
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Johnnathanalmeida commented on PR #13421:
URL: https://github.com/apache/arrow/pull/13421#issuecomment-1163442928
@github-actions crossbow submit java-jars
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github-actions[bot] commented on PR #13421:
URL: https://github.com/apache/arrow/pull/13421#issuecomment-1163416954
:warning: Ticket **has not been started in JIRA**, please click 'Start
Progress'.
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github-actions[bot] commented on PR #13421:
URL: https://github.com/apache/arrow/pull/13421#issuecomment-1163416927
https://issues.apache.org/jira/browse/ARROW-16881
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github-actions[bot] commented on PR #13411:
URL: https://github.com/apache/arrow/pull/13411#issuecomment-1163415782
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assignUser commented on PR #13411:
URL: https://github.com/apache/arrow/pull/13411#issuecomment-1163414204
@github-actions crossbow submit r-nightly-packages
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github-actions[bot] commented on PR #13421:
URL: https://github.com/apache/arrow/pull/13421#issuecomment-1163412291
Thanks for opening a pull request!
If this is not a [minor
PR](https://github.com/apache/arrow/blob/master/CONTRIBUTING.md#Minor-Fixes).
Could you open an issue
Johnnathanalmeida opened a new pull request, #13421:
URL: https://github.com/apache/arrow/pull/13421
Fix error in LLVM where didn't find these two functions.
Fix regex to allow negative digits for Interval Year.
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