HaoYang670 opened a new pull request, #2277:
URL: https://github.com/apache/arrow-rs/pull/2277
# Which issue does this PR close?
Closes #1726.
# Rationale for this change
# What changes are included in this PR?
We have the `from_list` (or `from_fixed_size_list`
drin commented on PR #13487:
URL: https://github.com/apache/arrow/pull/13487#issuecomment-1202055532
sorry, renaming to match the PR back to ARROW-8991. Since I am already
trying to accommodate 64-bit, it didn't make sense to keep the smaller scope
that the sub-task was meant to capture. I'
github-actions[bot] commented on PR #13775:
URL: https://github.com/apache/arrow/pull/13775#issuecomment-1202044495
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github-actions[bot] commented on PR #13775:
URL: https://github.com/apache/arrow/pull/13775#issuecomment-1202044479
https://issues.apache.org/jira/browse/ARROW-17280
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github-actions[bot] commented on PR #13775:
URL: https://github.com/apache/arrow/pull/13775#issuecomment-1202041382
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
kosak opened a new pull request, #13775:
URL: https://github.com/apache/arrow/pull/13775
When a user's C++ program links to both Arrow and an installation of the
Flatbuffers library, the program can crash
or send corrupt Arrow messages.
The reason for this is version incompatibilit
tustvold opened a new issue, #2276:
URL: https://github.com/apache/arrow-rs/issues/2276
**Is your feature request related to a problem or challenge? Please describe
what you are trying to do.**
Currently we have vectorised unpacking of 32-bit integers. We then extend or
truncate
ursabot commented on PR #2268:
URL: https://github.com/apache/arrow-rs/pull/2268#issuecomment-1202024899
Benchmark runs are scheduled for baseline =
b4fa47d9c8323e45985563e2bd1478aa1a23639e and contender =
cd45ecbfd4dc87ee62b6b71a174bedbd282d0e4f.
cd45ecbfd4dc87ee62b6b71a174bedbd282d0e4f i
tustvold merged PR #2268:
URL: https://github.com/apache/arrow-rs/pull/2268
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codecov-commenter commented on PR #3010:
URL:
https://github.com/apache/arrow-datafusion/pull/3010#issuecomment-1202017034
#
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stuartcarnie commented on PR #3007:
URL:
https://github.com/apache/arrow-datafusion/pull/3007#issuecomment-1202001744
👋🏻 hi @avantgardnerio I was able to successfully upgrade `arrow-rs` via this
draft PR for which all DataFusion tests pass:
https://github.com/apache/arrow-datafusion/pull/3
stuartcarnie opened a new pull request, #3010:
URL: https://github.com/apache/arrow-datafusion/pull/3010
This is a **draft PR**, as it depends on an upgraded arrow-rs crate which
contains breaking changes. This PR includes commits to resolve the changes and
all tests pass, however, more tes
viirya commented on code in PR #2275:
URL: https://github.com/apache/arrow-rs/pull/2275#discussion_r935087546
##
arrow/src/util/decimal.rs:
##
@@ -245,6 +245,49 @@ macro_rules! def_decimal {
};
}
+// compare two signed integer which are encoded with little endian.
+// le
mopcup commented on code in PR #13690:
URL: https://github.com/apache/arrow/pull/13690#discussion_r935087296
##
r/tests/testthat/test-dataset-write.R:
##
@@ -470,7 +502,7 @@ test_that("Dataset writing: unsupported features/input
validation", {
write_dataset(ds, tempfile(),
mopcup commented on code in PR #13690:
URL: https://github.com/apache/arrow/pull/13690#discussion_r935086860
##
r/tests/testthat/test-dataset-write.R:
##
@@ -139,6 +139,36 @@ test_that("Writing a dataset: Parquet->Parquet (default)",
{
)
})
+test_that("Writing a dataset:
codecov-commenter commented on PR #2275:
URL: https://github.com/apache/arrow-rs/pull/2275#issuecomment-1201972606
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ursabot commented on PR #13766:
URL: https://github.com/apache/arrow/pull/13766#issuecomment-1201970398
Benchmark runs are scheduled for baseline =
e80981ca2a7b8c43f61f41b55842423b8295d633 and contender =
48e27804296233a9ab90b6096e291046ff2db6f3.
48e27804296233a9ab90b6096e291046ff2db6f3 is
liukun4515 opened a new pull request, #2275:
URL: https://github.com/apache/arrow-rs/pull/2275
# Which issue does this PR close?
Closes #2256
# Rationale for this change
# What changes are included in this PR?
# Are there any user-facing ch
yourenawo commented on issue #2993:
URL:
https://github.com/apache/arrow-datafusion/issues/2993#issuecomment-1201947104
There are 3000 parquet files in the directory, and I only need to query 100
of them.
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github-actions[bot] commented on PR #13774:
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github-actions[bot] commented on PR #13774:
URL: https://github.com/apache/arrow/pull/13774#issuecomment-1201940758
https://issues.apache.org/jira/browse/ARROW-17277
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github-actions[bot] commented on PR #13774:
URL: https://github.com/apache/arrow/pull/13774#issuecomment-1201940108
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
ggodik opened a new pull request, #13774:
URL: https://github.com/apache/arrow/pull/13774
- Use `WithBoolWriter` to overwrite the default use of `strconv.FormatBool`
- uses `strconv.FormatBool` by default
- `WithBoolWriter(nil)` will not overwrite default
usage
```
w :=
HaoYang670 opened a new issue, #2274:
URL: https://github.com/apache/arrow-rs/issues/2274
**Is your feature request related to a problem or challenge? Please describe
what you are trying to do.**
As the `const fn` related features have been stabilized in rust 1.61:
https://github.com/rus
github-actions[bot] commented on PR #13773:
URL: https://github.com/apache/arrow/pull/13773#issuecomment-1201916011
Revision: 3647aa3d6474604a7ed615621f9503f634e92efc
Submitted crossbow builds: [ursacomputing/crossbow @
actions-de212b2c40](https://github.com/ursacomputing/crossbow/bra
paleolimbot commented on PR #13773:
URL: https://github.com/apache/arrow/pull/13773#issuecomment-1201915500
@github-actions crossbow submit test-r-linux-valgrind
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ursabot commented on PR #3003:
URL:
https://github.com/apache/arrow-datafusion/pull/3003#issuecomment-1201913829
Benchmark runs are scheduled for baseline =
55a12869f32644ed87d69d9b7617372db5103fb8 and contender =
e23925c96c97139d101719fa7a456088eeed6ae9.
e23925c96c97139d101719fa7a456088e
yjshen merged PR #3003:
URL: https://github.com/apache/arrow-datafusion/pull/3003
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yjshen closed issue #3002: The expression to get an indexed field is only valid
for `List` types (`common_sub_expression_eliminate`)
URL: https://github.com/apache/arrow-datafusion/issues/3002
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github-actions[bot] commented on PR #13773:
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github-actions[bot] commented on PR #13773:
URL: https://github.com/apache/arrow/pull/13773#issuecomment-1201905271
https://issues.apache.org/jira/browse/ARROW-17252
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paleolimbot opened a new pull request, #13773:
URL: https://github.com/apache/arrow/pull/13773
An attempt to isolate the change that fixed the valgrind errors from #13746.
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paleolimbot closed pull request #13746: ARROW-17252: [R] Intermittent valgrind
failure
URL: https://github.com/apache/arrow/pull/13746
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ursabot commented on PR #13765:
URL: https://github.com/apache/arrow/pull/13765#issuecomment-1201904309
Benchmark runs are scheduled for baseline =
c5173186bbd61641ba05e2848ad860fb696f6095 and contender =
e80981ca2a7b8c43f61f41b55842423b8295d633.
e80981ca2a7b8c43f61f41b55842423b8295d633 is
github-actions[bot] commented on PR #13772:
URL: https://github.com/apache/arrow/pull/13772#issuecomment-1201898152
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github-actions[bot] commented on PR #13772:
URL: https://github.com/apache/arrow/pull/13772#issuecomment-1201898136
https://issues.apache.org/jira/browse/ARROW-17273
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ggodik opened a new pull request, #13772:
URL: https://github.com/apache/arrow/pull/13772
Newly supported types
- Date32
- Date64
- Timestamp
csv.Reader currently supports Timestamps. Not adding Date32/64 support to
CSV as the default behavior will stay the same and parse
kou merged PR #13766:
URL: https://github.com/apache/arrow/pull/13766
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viirya commented on PR #3007:
URL:
https://github.com/apache/arrow-datafusion/pull/3007#issuecomment-1201847738
> expected `i128`, found struct `arrow::util::decimal::Decimal128`
Have you tried calling `as_i128()`?
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ursabot commented on PR #2272:
URL: https://github.com/apache/arrow-rs/pull/2272#issuecomment-1201839965
Benchmark runs are scheduled for baseline =
d4f038a44218f6014ffd580429a0a6dde360f88f and contender =
b4fa47d9c8323e45985563e2bd1478aa1a23639e.
b4fa47d9c8323e45985563e2bd1478aa1a23639e i
tustvold closed issue #2273: Use initial capacity for interner hashmap
URL: https://github.com/apache/arrow-rs/issues/2273
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tustvold merged PR #2272:
URL: https://github.com/apache/arrow-rs/pull/2272
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tustvold commented on issue #2270:
URL: https://github.com/apache/arrow-rs/issues/2270#issuecomment-1201834760
> Interesting, when is this the case? Would there be situations where the
decoder couldn't optimize based on the number of values to skip?
It needs to be benchmarked but with
thinkharderdev commented on issue #2270:
URL: https://github.com/apache/arrow-rs/issues/2270#issuecomment-1201828410
> This system will only be able to pushdown to eliminate decode overheads,
i.e. it will be unable to eliminate IO to fetch data (which is fine we have the
page index for that
ursabot commented on PR #13767:
URL: https://github.com/apache/arrow/pull/13767#issuecomment-1201818720
Benchmark runs are scheduled for baseline =
877ed5b0817df5d2592b92964c647714c04f417f and contender =
c5173186bbd61641ba05e2848ad860fb696f6095.
c5173186bbd61641ba05e2848ad860fb696f6095 is
stuartcarnie commented on code in PR #2251:
URL: https://github.com/apache/arrow-rs/pull/2251#discussion_r934943090
##
arrow/src/compute/kernels/cast.rs:
##
@@ -1584,6 +1625,303 @@ fn cast_string_to_date64(
Ok(Arc::new(array) as ArrayRef)
}
+fn seconds_since_midnight(tim
tustvold commented on issue #2270:
URL: https://github.com/apache/arrow-rs/issues/2270#issuecomment-1201811291
I need to think more on this, but some immediate thoughts that may or may
not make sense:
* This system will only be able to pushdown to eliminate decode overheads,
i.e. it
codecov-commenter commented on PR #2272:
URL: https://github.com/apache/arrow-rs/pull/2272#issuecomment-1201804186
#
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Dandandan opened a new issue, #2273:
URL: https://github.com/apache/arrow-rs/issues/2273
**Is your feature request related to a problem or challenge? Please describe
what you are trying to do.**
Writing dictionary encoded arrays using parquet spends lot of time rehashing
arrays.
codecov-commenter commented on PR #2251:
URL: https://github.com/apache/arrow-rs/pull/2251#issuecomment-1201799597
#
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avantgardnerio commented on PR #3007:
URL:
https://github.com/apache/arrow-datafusion/pull/3007#issuecomment-1201798686
> From i128 to Decimal128
But that ripples up to ScalarValues and throughout the codebase quickly.
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avantgardnerio commented on PR #3007:
URL:
https://github.com/apache/arrow-datafusion/pull/3007#issuecomment-1201796064
I think we need to just change all these:
https://github.com/apache/arrow-datafusion/blob/55a12869f32644ed87d69d9b7617372db5103fb8/datafusion/physical-expr/src/expressions
codecov-commenter commented on PR #3009:
URL:
https://github.com/apache/arrow-datafusion/pull/3009#issuecomment-1201795012
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thinkharderdev commented on issue #2270:
URL: https://github.com/apache/arrow-rs/issues/2270#issuecomment-1201794786
So basically the implementation in DataFusion is:
1. Take the filter predicate and all projections it needs to evaluate and
wrap a `ParquetRecordBatchStream` in a strea
tustvold commented on PR #2268:
URL: https://github.com/apache/arrow-rs/pull/2268#issuecomment-1201793634
Thank you for dealing with this ❤️
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avantgardnerio commented on PR #3007:
URL:
https://github.com/apache/arrow-datafusion/pull/3007#issuecomment-1201789160
CC @HaoYang670
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avantgardnerio commented on PR #3007:
URL:
https://github.com/apache/arrow-datafusion/pull/3007#issuecomment-1201788502
If I revert the change here:
https://github.com/apache/arrow-rs/pull/2140/files to:
```
def_decimal_array!(
Decimal128Array,
"Decimal128Array",
Dandandan opened a new pull request, #2272:
URL: https://github.com/apache/arrow-rs/pull/2272
# Which issue does this PR close?
Closes #.
# Rationale for this change
This saves rehashing / reshuffling the hashmap when there are quite some
distinct values.
tustvold commented on issue #2270:
URL: https://github.com/apache/arrow-rs/issues/2270#issuecomment-1201782388
Could you perhaps expand upon what you mean by streaming filtering? My
understanding of the two major use-cases for this functionality were:
* Selecting specific rows identif
stuartcarnie commented on code in PR #2251:
URL: https://github.com/apache/arrow-rs/pull/2251#discussion_r934957161
##
arrow/src/compute/kernels/cast.rs:
##
@@ -1584,6 +1625,303 @@ fn cast_string_to_date64(
Ok(Arc::new(array) as ArrayRef)
}
+fn seconds_since_midnight(tim
stuartcarnie commented on code in PR #2251:
URL: https://github.com/apache/arrow-rs/pull/2251#discussion_r934957161
##
arrow/src/compute/kernels/cast.rs:
##
@@ -1584,6 +1625,303 @@ fn cast_string_to_date64(
Ok(Arc::new(array) as ArrayRef)
}
+fn seconds_since_midnight(tim
thinkharderdev commented on PR #2271:
URL: https://github.com/apache/arrow-rs/pull/2271#issuecomment-1201770817
@tustvold @alamb @Ted-Jiang
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thinkharderdev commented on code in PR #2271:
URL: https://github.com/apache/arrow-rs/pull/2271#discussion_r934953607
##
parquet/src/arrow/arrow_reader.rs:
##
@@ -283,42 +284,112 @@ pub struct ParquetRecordBatchReader {
selection: Option>,
}
+impl ParquetRecordBatchReade
thinkharderdev opened a new pull request, #2271:
URL: https://github.com/apache/arrow-rs/pull/2271
# Which issue does this PR close?
Closes #2270
# Rationale for this change
# What changes are included in this PR?
# Are there any user-faci
thinkharderdev opened a new issue, #2270:
URL: https://github.com/apache/arrow-rs/issues/2270
**Is your feature request related to a problem or challenge? Please describe
what you are trying to do.**
The current (non-public) API for skipping records has some shortcomings when
try
waitingkuo commented on PR #3000:
URL:
https://github.com/apache/arrow-datafusion/pull/3000#issuecomment-1201760815
#2998 merged, all test passed
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stuartcarnie commented on code in PR #2251:
URL: https://github.com/apache/arrow-rs/pull/2251#discussion_r934943239
##
arrow/src/compute/kernels/cast.rs:
##
@@ -1584,6 +1625,303 @@ fn cast_string_to_date64(
Ok(Arc::new(array) as ArrayRef)
}
+fn seconds_since_midnight(tim
stuartcarnie commented on code in PR #2251:
URL: https://github.com/apache/arrow-rs/pull/2251#discussion_r934943090
##
arrow/src/compute/kernels/cast.rs:
##
@@ -1584,6 +1625,303 @@ fn cast_string_to_date64(
Ok(Arc::new(array) as ArrayRef)
}
+fn seconds_since_midnight(tim
stuartcarnie commented on code in PR #2251:
URL: https://github.com/apache/arrow-rs/pull/2251#discussion_r934942068
##
arrow/src/compute/kernels/cast.rs:
##
@@ -1584,6 +1625,303 @@ fn cast_string_to_date64(
Ok(Arc::new(array) as ArrayRef)
}
+fn seconds_since_midnight(tim
stuartcarnie commented on code in PR #2251:
URL: https://github.com/apache/arrow-rs/pull/2251#discussion_r934940959
##
arrow/src/compute/kernels/cast.rs:
##
@@ -1584,6 +1625,303 @@ fn cast_string_to_date64(
Ok(Arc::new(array) as ArrayRef)
}
+fn seconds_since_midnight(tim
github-actions[bot] commented on PR #13771:
URL: https://github.com/apache/arrow/pull/13771#issuecomment-1201747009
:warning: Ticket **has not been started in JIRA**, please click 'Start
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github-actions[bot] commented on PR #13771:
URL: https://github.com/apache/arrow/pull/13771#issuecomment-1201746993
https://issues.apache.org/jira/browse/ARROW-17278
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iChauster opened a new pull request, #13771:
URL: https://github.com/apache/arrow/pull/13771
- Add a invalid status if batches are ingested in an incorrect order for any
source in AsOfJoin.
- Fix benchmarks to use isolated memory pools.
- Reuse created memory pools over different benc
andygrove commented on issue #2925:
URL:
https://github.com/apache/arrow-datafusion/issues/2925#issuecomment-1201745574
Thanks @jonmmease. I just submitted a PR with the functionality. I need to
clean this up, but I think it is ready for testing.
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andygrove opened a new pull request, #3009:
URL: https://github.com/apache/arrow-datafusion/pull/3009
# Which issue does this PR close?
Closes https://github.com/apache/arrow-datafusion/issues/2925
# Rationale for this change
Needed for h2o benchmarks.
kou merged PR #13765:
URL: https://github.com/apache/arrow/pull/13765
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avantgardnerio commented on code in PR #2251:
URL: https://github.com/apache/arrow-rs/pull/2251#discussion_r934934282
##
arrow/src/compute/kernels/cast.rs:
##
@@ -1584,6 +1625,303 @@ fn cast_string_to_date64(
Ok(Arc::new(array) as ArrayRef)
}
+fn seconds_since_midnight(t
avantgardnerio commented on code in PR #2251:
URL: https://github.com/apache/arrow-rs/pull/2251#discussion_r934927554
##
arrow/src/compute/kernels/cast.rs:
##
@@ -1584,6 +1625,303 @@ fn cast_string_to_date64(
Ok(Arc::new(array) as ArrayRef)
}
+fn seconds_since_midnight(t
kou commented on code in PR #13769:
URL: https://github.com/apache/arrow/pull/13769#discussion_r934920983
##
r/tools/autobrew:
##
@@ -36,6 +43,13 @@ curl -fsSL
https://github.com/$UPSTREAM_ORG/brew/tarball/master | tar xz --strip
export HOMEBREW_CACHE="$AUTOBREW"
LOCAL_FORMUL
avantgardnerio commented on code in PR #2251:
URL: https://github.com/apache/arrow-rs/pull/2251#discussion_r934921087
##
arrow/src/compute/kernels/cast.rs:
##
@@ -1584,6 +1625,303 @@ fn cast_string_to_date64(
Ok(Arc::new(array) as ArrayRef)
}
+fn seconds_since_midnight(t
avantgardnerio commented on code in PR #2251:
URL: https://github.com/apache/arrow-rs/pull/2251#discussion_r934918636
##
arrow/src/compute/kernels/cast.rs:
##
@@ -1584,6 +1625,303 @@ fn cast_string_to_date64(
Ok(Arc::new(array) as ArrayRef)
}
+fn seconds_since_midnight(t
codecov-commenter commented on PR #2260:
URL: https://github.com/apache/arrow-rs/pull/2260#issuecomment-1201713556
#
[Codecov](https://codecov.io/gh/apache/arrow-rs/pull/2260?src=pr&el=h1&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=The+Apache+S
kou commented on code in PR #12914:
URL: https://github.com/apache/arrow/pull/12914#discussion_r931676422
##
cpp/src/arrow/filesystem/azurefs_test.cc:
##
@@ -0,0 +1,531 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+// or more contributor license agreements.
avantgardnerio commented on PR #3007:
URL:
https://github.com/apache/arrow-datafusion/pull/3007#issuecomment-1201708740
If I understand correctly, the other XXXArray types have iterators that
return the primitive representations (i.e. `u128`), but Decimal now returns a
struct with `From` a
alamb commented on code in PR #2251:
URL: https://github.com/apache/arrow-rs/pull/2251#discussion_r934903273
##
arrow/src/compute/kernels/cast.rs:
##
@@ -1584,6 +1625,303 @@ fn cast_string_to_date64(
Ok(Arc::new(array) as ArrayRef)
}
+fn seconds_since_midnight(time: &chr
bkietz commented on code in PR #13613:
URL: https://github.com/apache/arrow/pull/13613#discussion_r934907633
##
cpp/src/arrow/engine/substrait/ext_test.cc:
##
@@ -198,11 +207,11 @@ TEST(ExtensionIdRegistryTest, RegisterTempFunctions) {
for (util::string_view name : kTempF
bkietz commented on code in PR #13613:
URL: https://github.com/apache/arrow/pull/13613#discussion_r934907411
##
cpp/src/arrow/engine/substrait/ext_test.cc:
##
@@ -158,10 +152,10 @@ TEST_P(ExtensionIdRegistryTest, ReregisterFunctions) {
auto provider = std::get<0>(GetParam());
zeroshade merged PR #13767:
URL: https://github.com/apache/arrow/pull/13767
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ursabot commented on PR #3004:
URL:
https://github.com/apache/arrow-datafusion/pull/3004#issuecomment-1201699217
Benchmark runs are scheduled for baseline =
c179102492b9b5463c4751c4637a01547b6f2b7b and contender =
55a12869f32644ed87d69d9b7617372db5103fb8.
55a12869f32644ed87d69d9b7617372db
alamb merged PR #3004:
URL: https://github.com/apache/arrow-datafusion/pull/3004
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alamb closed issue #2998: Double to_timestamp_seconds produces abnormal result
URL: https://github.com/apache/arrow-datafusion/issues/2998
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alamb commented on code in PR #2260:
URL: https://github.com/apache/arrow-rs/pull/2260#discussion_r934897698
##
object_store/src/lib.rs:
##
@@ -28,15 +28,128 @@
//! # object_store
//!
-//! This crate provides APIs for interacting with object storage services.
+//! This crate
tustvold commented on code in PR #2260:
URL: https://github.com/apache/arrow-rs/pull/2260#discussion_r934742024
##
object_store/src/lib.rs:
##
@@ -28,15 +28,128 @@
//! # object_store
//!
-//! This crate provides APIs for interacting with object storage services.
+//! This cr
alamb commented on code in PR #2260:
URL: https://github.com/apache/arrow-rs/pull/2260#discussion_r934897213
##
object_store/README.md:
##
@@ -19,8 +19,21 @@
# Rust Object Store
-A crate providing a generic interface to object stores, such as S3, Azure Blob
Storage and Goo
avantgardnerio commented on PR #3007:
URL:
https://github.com/apache/arrow-datafusion/pull/3007#issuecomment-1201689127
I fixed a lot of the obvious errors, but I wasn't sure what to do about
```
error[E0308]: mismatched types
--> datafusion/physical-expr/src/expressions/binary.r
carols10cents commented on PR #2268:
URL: https://github.com/apache/arrow-rs/pull/2268#issuecomment-1201682854
🤷🏻♀️ or we can sidestep that and install protoc.
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U
andygrove commented on PR #3003:
URL:
https://github.com/apache/arrow-datafusion/pull/3003#issuecomment-1201657238
> i added a simple test case here
[andygrove#64](https://github.com/andygrove/arrow-datafusion/pull/64)
Thank you @waitingkuo!
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github-actions[bot] commented on PR #13746:
URL: https://github.com/apache/arrow/pull/13746#issuecomment-1201655388
Revision: 690a9a028a56b1bde969256154b9f7043b52666e
Submitted crossbow builds: [ursacomputing/crossbow @
actions-4c128215b9](https://github.com/ursacomputing/crossbow/bra
paleolimbot commented on PR #13746:
URL: https://github.com/apache/arrow/pull/13746#issuecomment-1201654248
@github-actions crossbow submit test-r-linux-valgrind
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github-actions[bot] commented on PR #13770:
URL: https://github.com/apache/arrow/pull/13770#issuecomment-1201646314
https://issues.apache.org/jira/browse/ARROW-17275
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