liukun4515 commented on issue #2759:
URL:
https://github.com/apache/arrow-datafusion/issues/2759#issuecomment-1162711534
If we want to use the NULL in the list expr. The data type of NULL is
`NULL`, like that `expr: Literal { value: Int32(NULL) }`
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liukun4515 commented on issue #2759:
URL:
https://github.com/apache/arrow-datafusion/issues/2759#issuecomment-1162708027
In the datafusion, we can convert NULL value of the NULL type to any other
NULL value of data type.
For example: Convert NULL(NULL) to INT32(NULL) or FLOAT(NULL);
❯
vibhatha commented on code in PR #13412:
URL: https://github.com/apache/arrow/pull/13412#discussion_r903325423
##
cpp/src/arrow/compute/api_vector.cc:
##
@@ -383,6 +401,14 @@ Result CumulativeSum(const Datum& values, const
CumulativeSumOptions& opt
return CallFunction(func_n
kou commented on code in PR #13308:
URL: https://github.com/apache/arrow/pull/13308#discussion_r903317882
##
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
vibhatha commented on code in PR #13412:
URL: https://github.com/apache/arrow/pull/13412#discussion_r903323818
##
cpp/src/arrow/compute/api_vector.cc:
##
@@ -383,6 +401,14 @@ Result CumulativeSum(const Datum& values, const
CumulativeSumOptions& opt
return CallFunction(func_n
vibhatha commented on code in PR #13412:
URL: https://github.com/apache/arrow/pull/13412#discussion_r903323137
##
cpp/src/arrow/compute/api_vector.cc:
##
@@ -383,6 +401,14 @@ Result CumulativeSum(const Datum& values, const
CumulativeSumOptions& opt
return CallFunction(func_n
kou merged PR #13407:
URL: https://github.com/apache/arrow/pull/13407
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kou commented on issue #13396:
URL: https://github.com/apache/arrow/issues/13396#issuecomment-1162676527
Apache Parquet doesn't support "seconds" as unit:
https://github.com/apache/parquet-format/blob/master/LogicalTypes.md#timestamp
So "seconds" timestamp type is converted to "millisecon
liukun4515 commented on issue #2755:
URL:
https://github.com/apache/arrow-datafusion/issues/2755#issuecomment-1162673018
blocked by this issue https://github.com/apache/arrow-datafusion/issues/2759
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liukun4515 opened a new issue, #2759:
URL: https://github.com/apache/arrow-datafusion/issues/2759
**Describe the bug**
In current inList implemention, we don't consider the data type of the list
value.
For example:
I create a table
```
❯ \d food
+---+-
liukun4515 commented on code in PR #2721:
URL: https://github.com/apache/arrow-datafusion/pull/2721#discussion_r903294153
##
datafusion/core/src/physical_plan/hash_join.rs:
##
@@ -1054,6 +1110,116 @@ fn equal_rows(
DataType::LargeUtf8 => {
equal_row
dependabot[bot] opened a new pull request, #72:
URL: https://github.com/apache/arrow-ballista/pull/72
Bumps [numpy](https://github.com/numpy/numpy) from 1.21.3 to 1.22.0.
Release notes
Sourced from https://github.com/numpy/numpy/releases";>numpy's releases.
v1.22.0
NumPy 1
codecov-commenter commented on PR #2758:
URL:
https://github.com/apache/arrow-datafusion/pull/2758#issuecomment-1162638705
#
[Codecov](https://codecov.io/gh/apache/arrow-datafusion/pull/2758?src=pr&el=h1&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_
AssHero commented on PR #2750:
URL:
https://github.com/apache/arrow-datafusion/pull/2750#issuecomment-1162635636
Split the test cases into single test method. Implementing this as
optimization rule is in progress.
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dependabot[bot] opened a new pull request, #2758:
URL: https://github.com/apache/arrow-datafusion/pull/2758
Bumps [numpy](https://github.com/numpy/numpy) from 1.21.3 to 1.22.0.
Release notes
Sourced from https://github.com/numpy/numpy/releases";>numpy's releases.
v1.22.0
N
github-actions[bot] commented on PR #13416:
URL: https://github.com/apache/arrow/pull/13416#issuecomment-1162610356
https://issues.apache.org/jira/browse/ARROW-16092
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github-actions[bot] commented on PR #13415:
URL: https://github.com/apache/arrow/pull/13415#issuecomment-1162591830
:warning: Ticket **has not been started in JIRA**, please click 'Start
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github-actions[bot] commented on PR #13415:
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https://issues.apache.org/jira/browse/ARROW-16578
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hideaki opened a new pull request, #13415:
URL: https://github.com/apache/arrow/pull/13415
Fixes ARROW-16578 "[R] unique() and is.na() on a column of a tibble is much
slower after writing to and reading from a parquet file".
Here I'm materializing the AltrepVectorString at the first c
viirya commented on code in PR #1855:
URL: https://github.com/apache/arrow-rs/pull/1855#discussion_r903077863
##
arrow/Cargo.toml:
##
@@ -60,7 +63,7 @@ multiversion = { version = "0.6.1", default-features = false }
bitflags = { version = "1.2.1", default-features = false }
[
github-actions[bot] commented on PR #13414:
URL: https://github.com/apache/arrow/pull/13414#issuecomment-1162577211
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
dependabot[bot] opened a new pull request, #13414:
URL: https://github.com/apache/arrow/pull/13414
Bumps [numpy](https://github.com/numpy/numpy) from 1.21.3 to 1.22.0.
Release notes
Sourced from https://github.com/numpy/numpy/releases";>numpy's releases.
v1.22.0
NumPy 1.22
vibhatha commented on code in PR #13150:
URL: https://github.com/apache/arrow/pull/13150#discussion_r903225025
##
r/R/query-engine.R:
##
@@ -259,6 +221,49 @@ ExecPlan <- R6Class("ExecPlan",
)
},
Stop = function() ExecPlan_StopProducing(self)
+ ),
+ private = l
github-actions[bot] commented on PR #13407:
URL: https://github.com/apache/arrow/pull/13407#issuecomment-1162533128
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nealrichardson commented on PR #13407:
URL: https://github.com/apache/arrow/pull/13407#issuecomment-1162532592
@github-actions crossbow submit homebrew-r-brew
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nealrichardson commented on PR #13407:
URL: https://github.com/apache/arrow/pull/13407#issuecomment-1162532462
> FYI: `resolve_dependency_absl()` isn't related to this case because we
don't use bundled Abseil in this case.
Yep, I was wrongly assuming that all of my "undefined symbols"
AssHero opened a new issue, #2757:
URL: https://github.com/apache/arrow-datafusion/issues/2757
**Is your feature request related to a problem or challenge? Please describe
what you are trying to do.**
For query: select ... from a left join b on ... where b.xx = 100;
if b.xx is null
AssHero commented on PR #2750:
URL:
https://github.com/apache/arrow-datafusion/pull/2750#issuecomment-1162521148
> @AssHero Since this is a significant feature could you file an issue for
it so that it gets included in the change logs.
yes, I'll file an issue.
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cyb70289 commented on PR #13412:
URL: https://github.com/apache/arrow/pull/13412#issuecomment-1162520142
You may consider converting it to draft if this PR is not ready for review
now.
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cyb70289 commented on PR #13412:
URL: https://github.com/apache/arrow/pull/13412#issuecomment-1162518343
Thanks for doing this. Will you add unit tests and update related documents?
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paleolimbot commented on code in PR #13150:
URL: https://github.com/apache/arrow/pull/13150#discussion_r903188788
##
r/R/query-engine.R:
##
@@ -259,6 +221,49 @@ ExecPlan <- R6Class("ExecPlan",
)
},
Stop = function() ExecPlan_StopProducing(self)
+ ),
+ private
github-actions[bot] commented on PR #13413:
URL: https://github.com/apache/arrow/pull/13413#issuecomment-1162507362
Revision: 5a757c9f290b834f48e877f303dd67938b482694
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wjones127 commented on PR #13413:
URL: https://github.com/apache/arrow/pull/13413#issuecomment-1162506669
@github-actions crossbow submit wheel-macos-big-sur-cp38-arm64
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kou commented on PR #13407:
URL: https://github.com/apache/arrow/pull/13407#issuecomment-1162501599
FYI: `resolve_dependency_absl()` isn't related to this case because we don't
use bundled Abseil in this case.
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kou commented on PR #13407:
URL: https://github.com/apache/arrow/pull/13407#issuecomment-1162500923
Sorry, I missed this in ARROW-14892.
Could you try the following?
```diff
diff --git a/dev/tasks/homebrew-formulae/apache-arrow.rb
b/dev/tasks/homebrew-formulae/apache-arrow.r
github-actions[bot] commented on PR #13413:
URL: https://github.com/apache/arrow/pull/13413#issuecomment-1162498550
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wjones127 commented on PR #13413:
URL: https://github.com/apache/arrow/pull/13413#issuecomment-1162497943
@github-actions crossbow submit wheel-macos-big-sur-cp38-arm64
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emkornfield commented on code in PR #13404:
URL: https://github.com/apache/arrow/pull/13404#discussion_r903175660
##
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)
+
+#in
github-actions[bot] commented on PR #13413:
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wjones127 commented on PR #13413:
URL: https://github.com/apache/arrow/pull/13413#issuecomment-1162484905
@github-actions crossbow submit wheel-macos-big-sur-cp38-arm64
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github-actions[bot] commented on PR #13413:
URL: https://github.com/apache/arrow/pull/13413#issuecomment-1162479203
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wjones127 commented on PR #13413:
URL: https://github.com/apache/arrow/pull/13413#issuecomment-1162478416
@github-actions crossbow submit wheel-*-cp37-*
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github-actions[bot] commented on PR #13413:
URL: https://github.com/apache/arrow/pull/13413#issuecomment-1162476715
```
Unable to match any tasks for `wheel--cp37-`
The Archery job run can be found at:
https://github.com/apache/arrow/actions/runs/2539006124
```
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wjones127 commented on PR #13413:
URL: https://github.com/apache/arrow/pull/13413#issuecomment-1162476031
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github-actions[bot] commented on PR #13413:
URL: https://github.com/apache/arrow/pull/13413#issuecomment-1162475823
https://issues.apache.org/jira/browse/ARROW-16779
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coryan commented on PR #13404:
URL: https://github.com/apache/arrow/pull/13404#issuecomment-1162474007
I suspect `absl::memory` is a header-only library, so it does not have a
`$`.
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github-actions[bot] commented on PR #13412:
URL: https://github.com/apache/arrow/pull/13412#issuecomment-1162467083
https://issues.apache.org/jira/browse/ARROW-16865
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github-actions[bot] commented on PR #13412:
URL: https://github.com/apache/arrow/pull/13412#issuecomment-1162467103
:warning: Ticket **has not been started in JIRA**, please click 'Start
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nealrichardson commented on PR #13404:
URL: https://github.com/apache/arrow/pull/13404#issuecomment-1162466449
Well, that didn't work, there must be some other piece I'm missing:
```
-- Configuring done
CMake Error at cmake_modules/BuildUtils.cmake:112 (file):
Error evaluat
JabariBooker opened a new pull request, #13412:
URL: https://github.com/apache/arrow/pull/13412
Creating new compute functions to perform cumulative product, max, and min
on a given array.
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nealrichardson commented on PR #13407:
URL: https://github.com/apache/arrow/pull/13407#issuecomment-1162456466
Following
https://github.com/apache/arrow/pull/13404#issuecomment-1162448555, I think we
need `ABSEIL_SOURCE=BUNDLED` so that we get C++11 compatibility--brew builds
for C++17.
martin-liu commented on PR #13402:
URL: https://github.com/apache/arrow/pull/13402#issuecomment-1162452139
@lidavidm Thanks for your time!
I didn't fully get your point, basically Pandas allows non-str column/index
names, it's just in PyArrow we are using `str(name)`.
The existing co
andygrove commented on PR #2549:
URL:
https://github.com/apache/arrow-datafusion/pull/2549#issuecomment-1162451730
Hi @ovr What do you think about breaking this up into smaller PRs and
starting with the logical plan changes and SQL parsing? I think this might make
it easier to start gettin
andygrove commented on code in PR #2750:
URL: https://github.com/apache/arrow-datafusion/pull/2750#discussion_r903140029
##
datafusion/sql/src/planner.rs:
##
@@ -784,6 +784,9 @@ impl<'a, S: ContextProvider> SqlToRel<'a, S> {
let filter_expr = self.sql_to_rex(p
nealrichardson commented on PR #13404:
URL: https://github.com/apache/arrow/pull/13404#issuecomment-1162448555
@coryan thanks, that's helpful actually. I'll have to dig more on the
bundled libraries thing. On the Homebrew build, abseil indeed is being built
with C++17 by brew
(https://gith
andygrove commented on code in PR #2750:
URL: https://github.com/apache/arrow-datafusion/pull/2750#discussion_r903138887
##
datafusion/core/tests/sql/joins.rs:
##
@@ -1342,3 +1342,458 @@ async fn join_with_hash_unsupported_data_type() ->
Result<()> {
Ok(())
}
+
+#[tokio
andygrove commented on PR #2750:
URL:
https://github.com/apache/arrow-datafusion/pull/2750#issuecomment-1162448018
@AssHero Since this is a significant feature could you file an issue for it
so that it gets included in the change logs.
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codecov-commenter commented on PR #2754:
URL:
https://github.com/apache/arrow-datafusion/pull/2754#issuecomment-1162447854
#
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elferherrera commented on issue #30:
URL: https://github.com/apache/arrow-ballista/issues/30#issuecomment-1162441423
@andygrove what benefits are you expecting from migrating to Substrait?
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coryan commented on PR #13404:
URL: https://github.com/apache/arrow/pull/13404#issuecomment-1162435724
TL;DR; not much of an idea, sorry.
> any ideas about that undefined abseil symbol mentioned above?
I assume "above" refers to
https://github.com/apache/arrow/runs/6989838112?c
lidavidm commented on PR #13402:
URL: https://github.com/apache/arrow/pull/13402#issuecomment-1162428372
Filed ARROW-16873
I'll try to review this tomorrow, but a quick question, such index/column
names won't round-trip back to Pandas right? Should we note that somewhere in
the docs?
lidavidm commented on PR #13402:
URL: https://github.com/apache/arrow/pull/13402#issuecomment-1162426905
I think that's been happening in several PRs (I don't think an issue has
been filed yet…)
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andygrove opened a new issue, #2756:
URL: https://github.com/apache/arrow-datafusion/issues/2756
**Is your feature request related to a problem or challenge? Please describe
what you are trying to do.**
PR https://github.com/apache/arrow-datafusion/pull/2754 adds an extensible
configurat
arjunsr1 commented on issue #13396:
URL: https://github.com/apache/arrow/issues/13396#issuecomment-1162421271
Hi @kou - through using my debugger and stepping through code, it seems that
when I save an arrow table with schema fields
```
History Completed Time: timestamp[s]
History C
nealrichardson commented on PR #13404:
URL: https://github.com/apache/arrow/pull/13404#issuecomment-1162419856
@coryan any ideas about that undefined abseil symbol mentioned above?
`undefined symbol: _ZN4absl12lts_2021110212RFC3339_fullE`
Similar issue in the homebrew build `Symbol no
viirya commented on code in PR #1855:
URL: https://github.com/apache/arrow-rs/pull/1855#discussion_r903077863
##
arrow/Cargo.toml:
##
@@ -60,7 +63,7 @@ multiversion = { version = "0.6.1", default-features = false }
bitflags = { version = "1.2.1", default-features = false }
[
martin-liu commented on PR #13402:
URL: https://github.com/apache/arrow/pull/13402#issuecomment-1162407232
@lidavidm can you help to take a look at this PR?
The tests failed with `Segmentation fault` in `test_memory.py`, should be
nothing to do with my change, how can I trigger a reru
github-actions[bot] commented on PR #13404:
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nealrichardson commented on PR #13404:
URL: https://github.com/apache/arrow/pull/13404#issuecomment-1162380105
@github-actions crossbow submit homebrew-r-autobrew
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github-actions[bot] commented on PR #13411:
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assignUser commented on PR #13411:
URL: https://github.com/apache/arrow/pull/13411#issuecomment-1162366588
@github-actions crossbow submit r-nightly-packages
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arjunsr1 commented on issue #13396:
URL: https://github.com/apache/arrow/issues/13396#issuecomment-1162355789
Hi @kou - it seems like `s3_existing_table.concatenate([table])` should work
fine. However, I'm getting an error that says `Invalid schema at index 1 was
different`. The steps I'm t
kou commented on issue #13396:
URL: https://github.com/apache/arrow/issues/13396#issuecomment-1162318465
Ah, sorry. Could you try `s3_existing_table.concatenate([table])`?
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arjunsr1 commented on issue #13396:
URL: https://github.com/apache/arrow/issues/13396#issuecomment-1162298341
I'm getting this error now: `Caused by TypeError: no implicit conversion of
Arrow::Table into Array`
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dongjoon-hyun commented on PR #13392:
URL: https://github.com/apache/arrow/pull/13392#issuecomment-1162294119
Oh, great. Thank you, @williamhyun and @lidavidm .
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mrob95 commented on issue #2736:
URL:
https://github.com/apache/arrow-datafusion/issues/2736#issuecomment-1162293517
I will take a look at this
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kou commented on issue #13396:
URL: https://github.com/apache/arrow/issues/13396#issuecomment-1162289915
Could you try `s3_existing_table.concatenate(table)`?
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iChauster commented on PR #13366:
URL: https://github.com/apache/arrow/pull/13366#issuecomment-1162283321
> For a filtering operation I think there is an extra parameter which is the
selectivity (what percentage of rows are kept). I think it would be valuable to
add that as a parameter but
alamb commented on PR #2721:
URL:
https://github.com/apache/arrow-datafusion/pull/2721#issuecomment-1162271726
I'll try and take a look at this tomorrow. Sorry for the delay in review,
but it is a bit of a crunch time at work (e.g.
https://github.com/influxdata/influxdb_iox/issues/4658) so
alamb commented on PR #1855:
URL: https://github.com/apache/arrow-rs/pull/1855#issuecomment-1162268676
Thanks @liukun4515 -- I will try and find time tomorrow to review this PR
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alamb commented on code in PR #2721:
URL: https://github.com/apache/arrow-datafusion/pull/2721#discussion_r903011945
##
datafusion/core/src/physical_plan/hash_join.rs:
##
@@ -1054,6 +1110,116 @@ fn equal_rows(
DataType::LargeUtf8 => {
equal_rows_ele
alamb commented on PR #1914:
URL: https://github.com/apache/arrow-rs/pull/1914#issuecomment-1162263623
I will try and find time to review this tomorrow
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lidavidm merged PR #13392:
URL: https://github.com/apache/arrow/pull/13392
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lidavidm merged PR #13344:
URL: https://github.com/apache/arrow/pull/13344
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lidavidm merged PR #13356:
URL: https://github.com/apache/arrow/pull/13356
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github-actions[bot] commented on PR #13411:
URL: https://github.com/apache/arrow/pull/13411#issuecomment-1162230576
Revision: 2fd34f755067d352e2490c49754fb26b11a5be31
Submitted crossbow builds: [ursacomputing/crossbow @
actions-534a9f1f8e](https://github.com/ursacomputing/crossbow/bra
assignUser commented on PR #13411:
URL: https://github.com/apache/arrow/pull/13411#issuecomment-1162229336
@github-actions crossbow submit r-nightly-packages
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icexelloss commented on code in PR #13028:
URL: https://github.com/apache/arrow/pull/13028#discussion_r902965193
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icexelloss commented on code in PR #13028:
URL: https://github.com/apache/arrow/pull/13028#discussion_r902964928
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icexelloss commented on code in PR #13028:
URL: https://github.com/apache/arrow/pull/13028#discussion_r902964703
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icexelloss commented on code in PR #13028:
URL: https://github.com/apache/arrow/pull/13028#discussion_r902964430
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icexelloss commented on code in PR #13028:
URL: https://github.com/apache/arrow/pull/13028#discussion_r902954389
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icexelloss commented on code in PR #13028:
URL: https://github.com/apache/arrow/pull/13028#discussion_r902954131
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cpp/src/arrow/compute/exec/asof_join_node.cc:
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icexelloss commented on code in PR #13028:
URL: https://github.com/apache/arrow/pull/13028#discussion_r902952561
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nealrichardson commented on PR #13404:
URL: https://github.com/apache/arrow/pull/13404#issuecomment-1162173479
R debian build is failing with an undefined symbol from absl, a different
one from what I saw locally (on macOS):
https://github.com/apache/arrow/runs/6989838112?check_suit
tielushko closed issue #13410: [JS] No longer able to access columnar data in
arrow v8.0
URL: https://github.com/apache/arrow/issues/13410
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tielushko commented on issue #13410:
URL: https://github.com/apache/arrow/issues/13410#issuecomment-1162151806
I think I found the property called getChild. Was confused as to what it
meant at first, but when tried calling it, I got Vector with the columnar
values from the table!
As
tielushko opened a new issue, #13410:
URL: https://github.com/apache/arrow/issues/13410
Hi!
I have been trying to transition to using the newest version of the
apache-arrow-js library and noticed the entire API was re-written.
I wanted to have the ability to still access values
arjunsr1 commented on issue #13396:
URL: https://github.com/apache/arrow/issues/13396#issuecomment-1162086123
I tried to do something like this:
`consolidated_table = Arrow::Table.concatenate(s3_existing_table, table)`
and I got an error as follows:
`Caused by NoMethodError: un
nealrichardson commented on PR #13404:
URL: https://github.com/apache/arrow/pull/13404#issuecomment-1162061355
I turned on GCS wherever S3 was turned on (so NOT_CRAN=true will build GCS
on linux). We should check the build times and see if it's worth the cost or
whether it should be a more
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