Ted-Jiang opened a new pull request #1530:
URL: https://github.com/apache/arrow-datafusion/pull/1530
# Which issue does this PR close?
#1521
Closes #.
# Rationale for this change
Add loadtest for testing the robustness of the Ballista
# What changes are inclu
jhorstmann commented on a change in pull request #1145:
URL: https://github.com/apache/arrow-rs/pull/1145#discussion_r780760173
##
File path: arrow/src/array/array_string.rs
##
@@ -187,8 +187,15 @@ impl
GenericStringArray {
offsets.push(length_so_far);
jhorstmann commented on issue #1136:
URL: https://github.com/apache/arrow-rs/issues/1136#issuecomment-1008270231
The issue seems to be with the relatively new `MonthDayNano` interval type,
which is stored as `i128`. The simd machinery does not yet support that type,
since it works with 512
jhorstmann edited a comment on issue #1136:
URL: https://github.com/apache/arrow-rs/issues/1136#issuecomment-1008270231
The issue seems to be with the relatively new `MonthDayNano` interval type,
which is stored as `i128`. The simd machinery does not yet support that type,
since it works w
Ted-Jiang opened a new issue #1531:
URL: https://github.com/apache/arrow-datafusion/issues/1531
**Describe the bug**
1. start scheduler `RUST_LOG=INFO cargo run --bin ballista-scheduler`
2. start one executor 'RUST_LOG=INFO cargo run --release --bin
ballista-executor '
3. run
Ted-Jiang commented on issue #1531:
URL:
https://github.com/apache/arrow-datafusion/issues/1531#issuecomment-1008272250
All 16 tokio-runtime-worker are lock at sled::subscriber::Subscribers
`register` or `reserve`
`register` : create a Subscribe on some key in sled
`reserve`: c
Ted-Jiang commented on issue #1531:
URL:
https://github.com/apache/arrow-datafusion/issues/1531#issuecomment-1008278405
I found `ballista_scheduler::SchedulerServer::new` 11 times in process
https://github.com/apache/arrow-datafusion/blob/847e78a675703c24933af5d6a429c2576bc14e9d/ba
Ted-Jiang commented on issue #1531:
URL:
https://github.com/apache/arrow-datafusion/issues/1531#issuecomment-1008278877
I think it should create only one synchronize_job_status_loop in one
ballista_scheduler process.
@andygrove @Dandandan @alamb FYI
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alamb opened a new issue #1532:
URL: https://github.com/apache/arrow-datafusion/issues/1532
**Is your feature request related to a problem or challenge? Please describe
what you are trying to do.**
Datafusion currently relies on the https://github.com/apache/arrow-rs
implementation of A
alamb commented on issue #1532:
URL:
https://github.com/apache/arrow-datafusion/issues/1532#issuecomment-1008288047
I believe the current proposal is to make an official arrow branch in
datafusion:
https://github.com/apache/arrow-datafusion/pull/68#issuecomment-1007955176,
which is proba
selvavm opened a new issue #1533:
URL: https://github.com/apache/arrow-datafusion/issues/1533
**Describe the bug**
Getting empty array when using parquet but prints data
**To Reproduce**
let df = df
.aggregate(
vec![col("name")],
cyb70289 commented on a change in pull request #12084:
URL: https://github.com/apache/arrow/pull/12084#discussion_r780778052
##
File path: cpp/src/arrow/compute/kernels/scalar_string_internal.cc
##
@@ -0,0 +1,57 @@
+// Licensed to the Apache Software Foundation (ASF) under one
alamb merged pull request #1528:
URL: https://github.com/apache/arrow-datafusion/pull/1528
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jvanstraten commented on a change in pull request #12084:
URL: https://github.com/apache/arrow/pull/12084#discussion_r780780327
##
File path: cpp/src/arrow/compute/kernels/scalar_string_internal.cc
##
@@ -0,0 +1,57 @@
+// Licensed to the Apache Software Foundation (ASF) under o
bkmgit commented on a change in pull request #11882:
URL: https://github.com/apache/arrow/pull/11882#discussion_r780780395
##
File path: cpp/src/arrow/util/bit_block_counter.h
##
@@ -424,6 +565,141 @@ class ARROW_EXPORT OptionalBinaryBitBlockCounter {
}
};
+/// \brief A c
bkmgit commented on a change in pull request #11882:
URL: https://github.com/apache/arrow/pull/11882#discussion_r780780625
##
File path: cpp/src/arrow/compute/kernels/scalar_compare.cc
##
@@ -746,6 +787,111 @@ std::shared_ptr
MakeScalarMinMax(std::string name,
return func;
bkmgit commented on a change in pull request #11882:
URL: https://github.com/apache/arrow/pull/11882#discussion_r780780707
##
File path: cpp/src/arrow/compute/kernels/scalar_compare.cc
##
@@ -746,6 +787,111 @@ std::shared_ptr
MakeScalarMinMax(std::string name,
return func;
bkmgit commented on a change in pull request #11882:
URL: https://github.com/apache/arrow/pull/11882#discussion_r780780727
##
File path: cpp/src/arrow/compute/kernels/scalar_compare.cc
##
@@ -746,6 +787,111 @@ std::shared_ptr
MakeScalarMinMax(std::string name,
return func;
alamb commented on a change in pull request #1526:
URL: https://github.com/apache/arrow-datafusion/pull/1526#discussion_r780779376
##
File path: ballista/rust/executor/src/collect.rs
##
@@ -75,11 +76,12 @@ impl ExecutionPlan for CollectExec {
async fn execute(
&se
bkmgit commented on a change in pull request #11882:
URL: https://github.com/apache/arrow/pull/11882#discussion_r780786506
##
File path: cpp/src/arrow/compute/kernels/scalar_compare.cc
##
@@ -156,39 +210,50 @@ struct Maximum {
}
};
+// Check if timestamp timezones are com
alamb commented on a change in pull request #1525:
URL: https://github.com/apache/arrow-datafusion/pull/1525#discussion_r780787572
##
File path: datafusion/src/physical_plan/expressions/variance.rs
##
@@ -0,0 +1,376 @@
+// Licensed to the Apache Software Foundation (ASF) under
alamb commented on pull request #1525:
URL:
https://github.com/apache/arrow-datafusion/pull/1525#issuecomment-1008307171
> I want to discuss the aggregator interface a bit further. The update
function doesn't seem to provide much value with the current architecture, it
seems under all cir
alamb commented on a change in pull request #1145:
URL: https://github.com/apache/arrow-rs/pull/1145#discussion_r780788179
##
File path: arrow/src/array/array_string.rs
##
@@ -187,8 +187,15 @@ impl
GenericStringArray {
offsets.push(length_so_far);
val
jhorstmann opened a new pull request #1146:
URL: https://github.com/apache/arrow-rs/pull/1146
# Which issue does this PR close?
Implements comparison for simd types with less than 8 lanes.
Closes #1136 .
# What changes are included in this PR?
This PR changes the
alamb commented on a change in pull request #1145:
URL: https://github.com/apache/arrow-rs/pull/1145#discussion_r780795424
##
File path: arrow/src/array/array_string.rs
##
@@ -187,8 +187,13 @@ impl
GenericStringArray {
offsets.push(length_so_far);
val
codecov-commenter commented on pull request #1146:
URL: https://github.com/apache/arrow-rs/pull/1146#issuecomment-1008318204
#
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alamb opened a new pull request #1147:
URL: https://github.com/apache/arrow-rs/pull/1147
# Which issue does this PR close?
Minor change
# Rationale for this change
Less code is easier to maintain and faster to compile
I noticed this while working on
https://gith
alamb commented on issue #197:
URL: https://github.com/apache/arrow-rs/issues/197#issuecomment-1008319749
An update: manually audited all the uses of the `size_hint` in the arrow
codebase:
```shell
rg -n -H --no-heading -e 'size_hint' $(git rev-parse --show-toplevel || pwd)
/U
codecov-commenter edited a comment on pull request #1145:
URL: https://github.com/apache/arrow-rs/pull/1145#issuecomment-1007976168
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[Codecov](https://codecov.io/gh/apache/arrow-rs/pull/1145?src=pr&el=h1&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm
codecov-commenter commented on pull request #1147:
URL: https://github.com/apache/arrow-rs/pull/1147#issuecomment-1008321424
#
[Codecov](https://codecov.io/gh/apache/arrow-rs/pull/1147?src=pr&el=h1&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=T
alamb opened a new pull request #1148:
URL: https://github.com/apache/arrow-rs/pull/1148
# Which issue does this PR close?
Re https://github.com/apache/arrow-rs/issues/197
# Rationale for this change
As part of #197 I reviewed all uses of `from_trusted_len_iter`; While
nealrichardson commented on issue #12102:
URL: https://github.com/apache/arrow/issues/12102#issuecomment-1008322593
The C Data Interface is the way you pass a block of memory in process. I
don't know the specifics of the Rust implementation to guide you further, maybe
others can help there
alamb commented on issue #12102:
URL: https://github.com/apache/arrow/issues/12102#issuecomment-1008323398
I think what you are looking for is called the `ffi` module in arrow-rs:
https://docs.rs/arrow/6.5.0/arrow/ffi/index.html
Perhaps something like
```rust
let array = unsafe
alamb edited a comment on issue #12102:
URL: https://github.com/apache/arrow/issues/12102#issuecomment-1008323398
I think what you are looking for is called the `ffi` module in arrow-rs:
https://docs.rs/arrow/6.5.0/arrow/ffi/index.html
Perhaps something like
```rust
let (array_
alamb commented on issue #12102:
URL: https://github.com/apache/arrow/issues/12102#issuecomment-1008323791
FWIW I think `polars` uses `arrow2` which also has an `ffi` module, but the
interface is different: https://docs.rs/arrow2/0.8.1/arrow2/ffi/index.html
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alamb commented on issue #1531:
URL:
https://github.com/apache/arrow-datafusion/issues/1531#issuecomment-1008324233
hi @Ted-Jiang -- thanks for the report. I am not super familiar with the
ballista internals but it definitely sounds like a bug to me. We would welcome
a pull request with
codecov-commenter commented on pull request #1148:
URL: https://github.com/apache/arrow-rs/pull/1148#issuecomment-1008324491
#
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alamb commented on issue #1533:
URL:
https://github.com/apache/arrow-datafusion/issues/1533#issuecomment-1008324922
Hi @selvavm -- this is very strange what happens when you print out the
entire `results`?
```rust
println!("Min for Aaa is {:#?}", results);
```
If you
thinkharderdev commented on issue #1532:
URL:
https://github.com/apache/arrow-datafusion/issues/1532#issuecomment-1008329590
Will `arrow-rs` eventually support async file IO? Requiring a synchronous
`ChuckReader` is currently a major limitation in supporting alternate
`ObjectStore`s
--
jorgecarleitao commented on issue #12102:
URL: https://github.com/apache/arrow/issues/12102#issuecomment-1008330881
Hi. Thanks for the ping @nealrichardson .
Thanks for the initiative, @multimeric , super cool!
Note that the C data interface is designed for _intra_ process comm
jorgecarleitao edited a comment on issue #12102:
URL: https://github.com/apache/arrow/issues/12102#issuecomment-1008330881
Hi. Thanks for the ping @nealrichardson .
Thanks for the initiative, @multimeric , super cool!
Note that the C data interface is designed for _intra_ proce
jorgecarleitao edited a comment on issue #12102:
URL: https://github.com/apache/arrow/issues/12102#issuecomment-1008330881
Hi. Thanks for the ping @nealrichardson .
Thanks for the initiative, @multimeric , super cool!
Note that the C data interface is designed for _intra_ proce
jorgecarleitao edited a comment on issue #12102:
URL: https://github.com/apache/arrow/issues/12102#issuecomment-1008330881
Hi. Thanks for the ping @nealrichardson .
Thanks for the initiative, @multimeric , super cool!
Note that the C data interface is designed for _intra_ proce
bkmgit commented on pull request #11882:
URL: https://github.com/apache/arrow/pull/11882#issuecomment-1008333615
@edponce Thanks for making it work. Other than formatting, tests seem to
pass for commit
https://github.com/apache/arrow/pull/11882/commits/b84ca3b63fcbf13b03e13c40ada6a7e93b141
ritchie46 commented on issue #12102:
URL: https://github.com/apache/arrow/issues/12102#issuecomment-1008334083
If you are also using polars/arrow logical types (`Categorical`, `Datetime`,
`Date`, `Duration`, or `Time`) you must ensure that the internal chunks of
`Series` are coerced to the
realno commented on pull request #1525:
URL:
https://github.com/apache/arrow-datafusion/pull/1525#issuecomment-1008337842
> > I want to discuss the aggregator interface a bit further. The update
function doesn't seem to provide much value with the current architecture, it
seems under all
zeroshade commented on pull request #11538:
URL: https://github.com/apache/arrow/pull/11538#issuecomment-1008339296
@emkornfield just bumping to make sure you see I addressed the comments you
left. If i don't hear back from you in a few days i'll merge this as you said
you don't think you
zeroshade closed pull request #11832:
URL: https://github.com/apache/arrow/pull/11832
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ursabot commented on pull request #11832:
URL: https://github.com/apache/arrow/pull/11832#issuecomment-1008345195
Benchmark runs are scheduled for baseline =
4c2294c7173abf6a9920f09520d8cbc56c361ddc and contender =
25cd0078b0a9a913f2443e447afe89beb81e8760.
25cd0078b0a9a913f2443e447afe89be
ursabot edited a comment on pull request #11832:
URL: https://github.com/apache/arrow/pull/11832#issuecomment-1008345195
Benchmark runs are scheduled for baseline =
4c2294c7173abf6a9920f09520d8cbc56c361ddc and contender =
25cd0078b0a9a913f2443e447afe89beb81e8760.
25cd0078b0a9a913f2443e447
hntd187 commented on issue #1532:
URL:
https://github.com/apache/arrow-datafusion/issues/1532#issuecomment-1008352621
I guess, what are the reasons switching would be a bad idea? Like what is
the delta between what they both currently provide?
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edponce commented on pull request #11882:
URL: https://github.com/apache/arrow/pull/11882#issuecomment-1008355611
@bkmgit For Python, you would only need to add bindings for `BetweenOptions`
because the compute function is "binded" automatically (`call_function`
mechanism). I suggest that
houqp commented on issue #1532:
URL:
https://github.com/apache/arrow-datafusion/issues/1532#issuecomment-1008356293
Thank you @alamb for bringing this up!
> I believe the current proposal is to make an official arrow branch in
datafusion: #68 (comment), which is probably a step towa
houqp merged pull request #1530:
URL: https://github.com/apache/arrow-datafusion/pull/1530
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houqp commented on pull request #1530:
URL:
https://github.com/apache/arrow-datafusion/pull/1530#issuecomment-1008356941
Thanks @Ted-Jiang !
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james727 opened a new pull request #1534:
URL: https://github.com/apache/arrow-datafusion/pull/1534
# Which issue does this PR close?
This partially addresses
https://github.com/apache/arrow-datafusion/issues/1512
# Rationale for this change
Right now `array_agg(distinct ...)`
ursabot edited a comment on pull request #11832:
URL: https://github.com/apache/arrow/pull/11832#issuecomment-1008345195
Benchmark runs are scheduled for baseline =
4c2294c7173abf6a9920f09520d8cbc56c361ddc and contender =
25cd0078b0a9a913f2443e447afe89beb81e8760.
25cd0078b0a9a913f2443e447
matthewmturner commented on issue #1515:
URL:
https://github.com/apache/arrow-datafusion/issues/1515#issuecomment-1008363268
@Dandandan @pjmore do you think the work on tokomak optimizer could be added
to roadmap?
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alamb commented on issue #1532:
URL:
https://github.com/apache/arrow-datafusion/issues/1532#issuecomment-1008364021
> Will arrow-rs eventually support async file IO? Requiring a synchronous
ChuckReader is currently a major limitation in supporting alternate ObjectStores
I think some
houqp commented on issue #1532:
URL:
https://github.com/apache/arrow-datafusion/issues/1532#issuecomment-1008364868
> @houqp can you make a PR? Would you like me to? @yjshen ?
For sure, I can help create that PR :+1:
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ursabot edited a comment on pull request #11832:
URL: https://github.com/apache/arrow/pull/11832#issuecomment-1008345195
Benchmark runs are scheduled for baseline =
4c2294c7173abf6a9920f09520d8cbc56c361ddc and contender =
25cd0078b0a9a913f2443e447afe89beb81e8760.
25cd0078b0a9a913f2443e447
edponce edited a comment on pull request #11882:
URL: https://github.com/apache/arrow/pull/11882#issuecomment-1008355611
@bkmgit It is a team effort 👍🏾! For Python, you would only need to add
bindings for `BetweenOptions` because the compute function is "binded"
automatically (`call_functi
kou commented on pull request #12107:
URL: https://github.com/apache/arrow/pull/12107#issuecomment-1008401605
+1
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kou closed pull request #12107:
URL: https://github.com/apache/arrow/pull/12107
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codecov-commenter edited a comment on pull request #1145:
URL: https://github.com/apache/arrow-rs/pull/1145#issuecomment-1007976168
#
[Codecov](https://codecov.io/gh/apache/arrow-rs/pull/1145?src=pr&el=h1&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm
ursabot commented on pull request #12107:
URL: https://github.com/apache/arrow/pull/12107#issuecomment-1008422136
Benchmark runs are scheduled for baseline =
25cd0078b0a9a913f2443e447afe89beb81e8760 and contender =
f7bd4c3904e30ec63263eab1cb59876c15f67d5a.
f7bd4c3904e30ec63263eab1cb59876c
github-actions[bot] commented on pull request #12108:
URL: https://github.com/apache/arrow/pull/12108#issuecomment-1008422840
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domoritz edited a comment on pull request #10371:
URL: https://github.com/apache/arrow/pull/10371#issuecomment-1008213010
- [ ] Remove index subscript code
- [x] Update docs
- [ ] Apply memoization in iterator visitor
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ursabot edited a comment on pull request #12107:
URL: https://github.com/apache/arrow/pull/12107#issuecomment-1008422136
Benchmark runs are scheduled for baseline =
25cd0078b0a9a913f2443e447afe89beb81e8760 and contender =
f7bd4c3904e30ec63263eab1cb59876c15f67d5a.
f7bd4c3904e30ec63263eab1c
hntd187 commented on issue #1532:
URL:
https://github.com/apache/arrow-datafusion/issues/1532#issuecomment-1008428765
> > I guess, what are the reasons switching would be a bad idea? Like what
is the delta between what they both currently provide?
>
> IMHO, the main downside is the
edponce commented on a change in pull request #12084:
URL: https://github.com/apache/arrow/pull/12084#discussion_r780836474
##
File path: cpp/src/arrow/compute/kernels/scalar_string_internal.cc
##
@@ -0,0 +1,57 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+
edponce commented on a change in pull request #12081:
URL: https://github.com/apache/arrow/pull/12081#discussion_r780837727
##
File path: python/pyarrow/pandas_compat.py
##
@@ -934,7 +934,7 @@ def _reconstruct_index(table, index_descriptors,
all_columns):
edponce commented on a change in pull request #11978:
URL: https://github.com/apache/arrow/pull/11978#discussion_r780838857
##
File path: dev/archery/archery/crossbow/core.py
##
@@ -536,17 +536,34 @@ def _latest_prefix_id(self, prefix):
latest = -1
return
edponce commented on a change in pull request #11942:
URL: https://github.com/apache/arrow/pull/11942#discussion_r780839108
##
File path: docs/source/developers/guide/resources.rst
##
@@ -27,3 +27,52 @@
Additional information and resources
ursabot edited a comment on pull request #12107:
URL: https://github.com/apache/arrow/pull/12107#issuecomment-1008422136
Benchmark runs are scheduled for baseline =
25cd0078b0a9a913f2443e447afe89beb81e8760 and contender =
f7bd4c3904e30ec63263eab1cb59876c15f67d5a.
f7bd4c3904e30ec63263eab1c
ursabot edited a comment on pull request #12107:
URL: https://github.com/apache/arrow/pull/12107#issuecomment-1008422136
Benchmark runs are scheduled for baseline =
25cd0078b0a9a913f2443e447afe89beb81e8760 and contender =
f7bd4c3904e30ec63263eab1cb59876c15f67d5a.
f7bd4c3904e30ec63263eab1c
multimeric commented on issue #12102:
URL: https://github.com/apache/arrow/issues/12102#issuecomment-1008448831
Thanks all, the help is greatly appreciated.
I'll try the FFI interface, it seems to be what I want. It looks like the
workflow will involve `let ptr = export_array_to_c(so
liukun4515 commented on a change in pull request #1141:
URL: https://github.com/apache/arrow-rs/pull/1141#discussion_r780867767
##
File path: CHANGELOG.md
##
@@ -19,8 +19,146 @@
For older versions, see
[apache/arrow/CHANGELOG.md](https://github.com/apache/arrow/blob/master/
liukun4515 commented on issue #1521:
URL:
https://github.com/apache/arrow-datafusion/issues/1521#issuecomment-1008497764
The issue will be closed automatically, with `Close #1521` in the pull
request. Just like Close #1521.
@Ted-Jiang
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Ted-Jiang closed issue #1521:
URL: https://github.com/apache/arrow-datafusion/issues/1521
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liukun4515 opened a new issue #1535:
URL: https://github.com/apache/arrow-datafusion/issues/1535
**Is your feature request related to a problem or challenge? Please describe
what you are trying to do.**
part of #122
We need to group by decimal column like below
```
SELECT c
liukun4515 commented on issue #1522:
URL:
https://github.com/apache/arrow-datafusion/issues/1522#issuecomment-1008499067
It's resolved in my branch, and will be cherry-picked later
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liukun4515 commented on issue #1535:
URL:
https://github.com/apache/arrow-datafusion/issues/1535#issuecomment-1008499198
It will be done after other pull requests about decimal merged.
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guyuqi commented on a change in pull request #12009:
URL: https://github.com/apache/arrow/pull/12009#discussion_r780871634
##
File path: go/arrow/math/Makefile
##
@@ -37,27 +41,42 @@ INTEL_SOURCES := \
int64_avx2_amd64.s int64_sse4_amd64.s \
uint64_avx2_amd64.s
guyuqi commented on a change in pull request #12009:
URL: https://github.com/apache/arrow/pull/12009#discussion_r780871634
##
File path: go/arrow/math/Makefile
##
@@ -37,27 +41,42 @@ INTEL_SOURCES := \
int64_avx2_amd64.s int64_sse4_amd64.s \
uint64_avx2_amd64.s
vibhatha opened a new pull request #12110:
URL: https://github.com/apache/arrow/pull/12110
In this PR,
- [x ] Replaced the prefixes with suffixes
- [x] Added a test case to check suffixes
This change is made to enable the consistency with the join APIs in `dplyr`
for R and
github-actions[bot] commented on pull request #12110:
URL: https://github.com/apache/arrow/pull/12110#issuecomment-1008502841
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 op
selvavm opened a new issue #1536:
URL: https://github.com/apache/arrow-datafusion/issues/1536
**Describe the bug**
When I want to generate a dataframe over
**To Reproduce**
let file_format =
ParquetFormat::default().with_enable_pruning(true);
let
vibhatha commented on a change in pull request #12033:
URL: https://github.com/apache/arrow/pull/12033#discussion_r780896887
##
File path: docs/source/cpp/streaming_execution.rst
##
@@ -175,9 +175,607 @@ their completion::
// alive until this future is marked finished.
houqp commented on issue #1536:
URL:
https://github.com/apache/arrow-datafusion/issues/1536#issuecomment-1008552422
Did `register_listing_table` return an error for you?
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houqp commented on issue #1531:
URL:
https://github.com/apache/arrow-datafusion/issues/1531#issuecomment-1008553539
Thanks @Ted-Jiang for the deepdive, if you look at the comment above the
tokio spawn line you linked, it also mentioned we should only run a single
loop. Perhaps we should f
houqp edited a comment on issue #1531:
URL:
https://github.com/apache/arrow-datafusion/issues/1531#issuecomment-1008553539
Thanks @Ted-Jiang for the deepdive, if you look at the comment above the
tokio spawn line you linked, it also mentioned we should only run a single
loop. Perhaps we s
selvavm commented on issue #1536:
URL:
https://github.com/apache/arrow-datafusion/issues/1536#issuecomment-1008559282
@houqp No. `ctx.table` returns an error. My knowledge on Parquet is limited.
Sorry for that.
Below are the things I tried,
- Changed the `uri` field in regis
selvavm edited a comment on issue #1536:
URL:
https://github.com/apache/arrow-datafusion/issues/1536#issuecomment-1008559282
@houqp No. `ctx.table` returns an error. My knowledge on Parquet is limited.
Sorry for that.
Below are the things I tried,
- Changed the `uri` field i
selvavm edited a comment on issue #1536:
URL:
https://github.com/apache/arrow-datafusion/issues/1536#issuecomment-1008559282
@houqp No. `ctx.table` returns an error. My knowledge on Parquet is limited.
Sorry for that.
Below are the things I tried,
- Changed the `uri` field i
Ted-Jiang commented on issue #1531:
URL:
https://github.com/apache/arrow-datafusion/issues/1531#issuecomment-1008574403
> Thanks @Ted-Jiang for the deepdive, if you look at the comment above the
tokio spawn line you linked, it also mentioned we should only run a single
loop. Perhaps we sh
xudong963 commented on pull request #1489:
URL:
https://github.com/apache/arrow-datafusion/pull/1489#issuecomment-1008605323
Unfortunately, it didn't work
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liukun4515 commented on issue #700:
URL:
https://github.com/apache/arrow-datafusion/issues/700#issuecomment-1008607240
@mingmwang can update the status?
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Ted-Jiang opened a new pull request #1537:
URL: https://github.com/apache/arrow-datafusion/pull/1537
# Which issue does this PR close?
Closes #1531 .
avoid `tokio::spawn(async move { state_clone.synchronize_job_status_loop().
` multi-times
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colinbs opened a new pull request #12111:
URL: https://github.com/apache/arrow/pull/12111
The "How to build by users"->"Others" section in `c_glib/README.md` states
the wrong directory when installing.
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