github-actions[bot] commented on pull request #12152:
URL: https://github.com/apache/arrow/pull/12152#issuecomment-1012912869
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thisisnic closed pull request #12152:
URL: https://github.com/apache/arrow/pull/12152
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thisisnic commented on pull request #12152:
URL: https://github.com/apache/arrow/pull/12152#issuecomment-1012934828
Closed this as I realised that the intended behaviour (to match
`read_arrow_csv()`) is that including a schema means that we assume there is no
header row.
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jon-chuang commented on issue #1221:
URL:
https://github.com/apache/arrow-datafusion/issues/1221#issuecomment-1012935879
Hi all, I've been working on a Rust API for the Ray distributed computing
framework that powers many popular python ML libraries like RLLib, Ray Train
and Ray Tune.
jon-chuang edited a comment on issue #1221:
URL:
https://github.com/apache/arrow-datafusion/issues/1221#issuecomment-1012935879
Hi all, I've been working on a Rust API for the Ray distributed computing
framework that powers many popular python ML libraries like RLLib, Ray Train
and Ray Tu
jon-chuang edited a comment on issue #1221:
URL:
https://github.com/apache/arrow-datafusion/issues/1221#issuecomment-1012935879
Hi all, I've been working on a Rust API for the Ray distributed computing
framework that powers many popular python ML libraries like RLLib, Ray Train
and Ray Tu
yjshen opened a new pull request #1564:
URL: https://github.com/apache/arrow-datafusion/pull/1564
# Which issue does this PR close?
Closes #.
# Rationale for this change
https://github.com/apache/arrow-datafusion/runs/4809829269?check_suite_focus=true
I
jon-chuang edited a comment on issue #1221:
URL:
https://github.com/apache/arrow-datafusion/issues/1221#issuecomment-1012935879
Hi all, I've been working on a Rust API for the Ray distributed computing
framework that powers many popular python ML libraries like RLLib, Ray Train
and Ray Tu
jon-chuang edited a comment on issue #1221:
URL:
https://github.com/apache/arrow-datafusion/issues/1221#issuecomment-1012935879
Hi all, I've been working on a Rust API for the Ray distributed computing
framework that powers many popular python ML libraries like RLLib, Ray Train
and Ray Tu
jon-chuang edited a comment on issue #1221:
URL:
https://github.com/apache/arrow-datafusion/issues/1221#issuecomment-1012935879
Hi all, I've been working on a Rust API for the Ray distributed computing
framework that powers many popular python ML libraries like RLLib, Ray Train
and Ray Tu
jon-chuang edited a comment on issue #1221:
URL:
https://github.com/apache/arrow-datafusion/issues/1221#issuecomment-1012935879
Hi all, I've been working on a Rust API for the Ray distributed computing
framework that powers many popular python ML libraries like RLLib, Ray Train
and Ray Tu
jon-chuang edited a comment on issue #1221:
URL:
https://github.com/apache/arrow-datafusion/issues/1221#issuecomment-1012935879
Hi all, I've been working on a Rust API for the Ray distributed computing
framework that powers many popular python ML libraries like RLLib, Ray Train
and Ray Tu
jon-chuang edited a comment on issue #1221:
URL:
https://github.com/apache/arrow-datafusion/issues/1221#issuecomment-1012935879
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thisisnic removed a comment on pull request #12152:
URL: https://github.com/apache/arrow/pull/12152#issuecomment-1012934828
Closed this as I realised that the intended behaviour (to match
`read_arrow_csv()`) is that including a schema means that we assume there is no
header row.
--
This
jon-chuang edited a comment on issue #1221:
URL:
https://github.com/apache/arrow-datafusion/issues/1221#issuecomment-1012935879
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jon-chuang edited a comment on issue #1221:
URL:
https://github.com/apache/arrow-datafusion/issues/1221#issuecomment-1012935879
Hi all, I've been working on a Rust API for the Ray distributed computing
framework that powers many popular python ML libraries like RLLib, Ray Train
and Ray Tu
jon-chuang edited a comment on issue #1221:
URL:
https://github.com/apache/arrow-datafusion/issues/1221#issuecomment-1012935879
Hi all, I've been working on a Rust API for the Ray distributed computing
framework that powers many popular python ML libraries like RLLib, Ray Train
and Ray Tu
jon-chuang edited a comment on issue #1221:
URL:
https://github.com/apache/arrow-datafusion/issues/1221#issuecomment-1012935879
Hi all, I've been working on a Rust API for the Ray distributed computing
framework that powers many popular python ML libraries like RLLib, Ray Train
and Ray Tu
ursabot edited a comment on pull request #11821:
URL: https://github.com/apache/arrow/pull/11821#issuecomment-1012296992
Benchmark runs are scheduled for baseline =
0c5cd7316c7da4ca00012a8e15f044560db2b1d0 and contender =
71ce8db417fda0066adc64e5e37cbf0da7fb0da2.
71ce8db417fda0066adc64e5e
jon-chuang edited a comment on issue #1221:
URL:
https://github.com/apache/arrow-datafusion/issues/1221#issuecomment-1012935879
Hi all, I've been working on a Rust API for the Ray distributed computing
framework that powers many popular python ML libraries like RLLib, Ray Train
and Ray Tu
jon-chuang edited a comment on issue #1221:
URL:
https://github.com/apache/arrow-datafusion/issues/1221#issuecomment-1012935879
Hi all, I've been working on a Rust API for the Ray distributed computing
framework that powers many popular python ML libraries like RLLib, Ray Train
and Ray Tu
jon-chuang edited a comment on issue #1221:
URL:
https://github.com/apache/arrow-datafusion/issues/1221#issuecomment-1012935879
Hi all, I've been working on a Rust API for the Ray distributed computing
framework that powers many popular python ML libraries like RLLib, Ray Train
and Ray Tu
jon-chuang edited a comment on issue #1221:
URL:
https://github.com/apache/arrow-datafusion/issues/1221#issuecomment-1012935879
Hi all, I've been working on a Rust API for the Ray distributed computing
framework that powers many popular python ML libraries like RLLib, Ray Train
and Ray Tu
jon-chuang edited a comment on issue #1221:
URL:
https://github.com/apache/arrow-datafusion/issues/1221#issuecomment-1012935879
Hi all, I've been working on a Rust API for the Ray distributed computing
framework that powers many popular python ML libraries like RLLib, Ray Train
and Ray Tu
jon-chuang edited a comment on issue #1221:
URL:
https://github.com/apache/arrow-datafusion/issues/1221#issuecomment-1012935879
Hi all, I've been working on a Rust API for the Ray distributed computing
framework that powers many popular python ML libraries like RLLib, Ray Train
and Ray Tu
jon-chuang edited a comment on issue #1221:
URL:
https://github.com/apache/arrow-datafusion/issues/1221#issuecomment-1012935879
Hi all, I've been working on a Rust API for the Ray distributed computing
framework that powers many popular python ML libraries like RLLib, Ray Train
and Ray Tu
jon-chuang edited a comment on issue #1221:
URL:
https://github.com/apache/arrow-datafusion/issues/1221#issuecomment-1012935879
Hi all, I've been working on a Rust API for the Ray distributed computing
framework that powers many popular python ML libraries like RLLib, Ray Train
and Ray Tu
jon-chuang edited a comment on issue #1221:
URL:
https://github.com/apache/arrow-datafusion/issues/1221#issuecomment-1012935879
Hi all, I've been working on a Rust API for the Ray distributed computing
framework that powers many popular python ML libraries like RLLib, Ray Train
and Ray Tu
ursabot edited a comment on pull request #11751:
URL: https://github.com/apache/arrow/pull/11751#issuecomment-1012152838
Benchmark runs are scheduled for baseline =
77fc23fcae0331da3adf94619a381a371a6e414f and contender =
c48353fd21b26bcb894d791d49c29371607eb9b9.
c48353fd21b26bcb894d791d4
jhorstmann commented on a change in pull request #1170:
URL: https://github.com/apache/arrow-rs/pull/1170#discussion_r784709789
##
File path: arrow/src/buffer/immutable.rs
##
@@ -244,6 +244,7 @@ impl std::ops::Deref for Buffer {
}
unsafe impl Sync for Buffer {}
+#[allow(cli
dongjoon-hyun opened a new pull request #12153:
URL: https://github.com/apache/arrow/pull/12153
This PR aims to add `pyarrow.orc.read_table` like
`pyarrow.parquet.read_table`.
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yjshen commented on a change in pull request #1562:
URL: https://github.com/apache/arrow-datafusion/pull/1562#discussion_r784709208
##
File path: ballista/rust/core/src/serde/logical_plan/from_proto.rs
##
@@ -246,8 +246,8 @@ impl TryInto for &protobuf::LogicalPlanNode {
yjshen commented on a change in pull request #1562:
URL: https://github.com/apache/arrow-datafusion/pull/1562#discussion_r784712799
##
File path: datafusion/src/execution/context.rs
##
@@ -901,14 +898,13 @@ pub struct ExecutionConfig {
/// Should Datafusion parquet reader
github-actions[bot] commented on pull request #12153:
URL: https://github.com/apache/arrow/pull/12153#issuecomment-1012977611
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tustvold commented on issue #1532:
URL:
https://github.com/apache/arrow-datafusion/issues/1532#issuecomment-1012985001
> That's why I think it would be good if we can come up with a way to avoid
cherry-picking commits from arrow2 into arrow-rs
Sorry, I meant more cherry-picking idea
tustvold edited a comment on issue #1532:
URL:
https://github.com/apache/arrow-datafusion/issues/1532#issuecomment-1012985001
> That's why I think it would be good if we can come up with a way to avoid
cherry-picking commits from arrow2 into arrow-rs
Sorry, I meant more cherry-picki
tustvold edited a comment on issue #1532:
URL:
https://github.com/apache/arrow-datafusion/issues/1532#issuecomment-1012985001
> That's why I think it would be good if we can come up with a way to avoid
cherry-picking commits from arrow2 into arrow-rs
Sorry, I meant more cherry-picki
tustvold edited a comment on issue #1532:
URL:
https://github.com/apache/arrow-datafusion/issues/1532#issuecomment-1012985001
> That's why I think it would be good if we can come up with a way to avoid
cherry-picking commits from arrow2 into arrow-rs
Sorry, I meant more cherry-picki
ViniciusSouzaRoque commented on pull request #12145:
URL: https://github.com/apache/arrow/pull/12145#issuecomment-1012988726
> @augustoasilva @pravindra @ViniciusSouzaRoque Can you take a look?
ok, everything right with this change.
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tustvold edited a comment on issue #1532:
URL:
https://github.com/apache/arrow-datafusion/issues/1532#issuecomment-1012985001
> That's why I think it would be good if we can come up with a way to avoid
cherry-picking commits from arrow2 into arrow-rs
Sorry, I meant more cherry-picki
Igosuki commented on issue #1544:
URL:
https://github.com/apache/arrow-datafusion/issues/1544#issuecomment-1013001849
I've used kafka-streams, flink and beam professionally, the point of
streaming is to execute windowed functions, join aggregated data with in-memory
tables and distribute
Igosuki commented on issue #1061:
URL:
https://github.com/apache/arrow-datafusion/issues/1061#issuecomment-1013006341
No, besides the patch I mentioned which enables arrays to be null
https://github.com/jorgecarleitao/arrow2/blob/main/src/io/avro/read/deserialize.rs#L101
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Igosuki commented on pull request #1556:
URL:
https://github.com/apache/arrow-datafusion/pull/1556#issuecomment-1013010833
Just use massif or heaptrack
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jhorstmann opened a new issue #1171:
URL: https://github.com/apache/arrow-rs/issues/1171
**Describe the bug**
The non-default `memory-check` feature fails to compile (probably at least
since 2021-04, that was the last time `alloc/mod.rs` was changed).
**To Reproduce**
`
Igosuki commented on a change in pull request #1556:
URL: https://github.com/apache/arrow-datafusion/pull/1556#discussion_r784746803
##
File path: datafusion/src/avro_to_arrow/reader.rs
##
@@ -101,30 +100,49 @@ impl ReaderBuilder {
}
/// Create a new `Reader` from t
Igosuki commented on a change in pull request #1556:
URL: https://github.com/apache/arrow-datafusion/pull/1556#discussion_r784748048
##
File path: datafusion/src/datasource/object_store/mod.rs
##
@@ -33,6 +33,12 @@ use local::LocalFileSystem;
use crate::error::{DataFusionErr
alamb merged pull request #1557:
URL: https://github.com/apache/arrow-datafusion/pull/1557
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alamb commented on pull request #1555:
URL:
https://github.com/apache/arrow-datafusion/pull/1555#issuecomment-1013021361
> looks like this is a subset of #1557?
Yes, I think #1557 from @xudong963 looks better 👍 closing this one
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alamb closed pull request #1555:
URL: https://github.com/apache/arrow-datafusion/pull/1555
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alamb commented on pull request #1557:
URL:
https://github.com/apache/arrow-datafusion/pull/1557#issuecomment-1013021592
Thanks @xudong963 !
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yjshen commented on issue #1221:
URL:
https://github.com/apache/arrow-datafusion/issues/1221#issuecomment-1013033180
@jon-chuang Thanks for bringing this up. I may mistake something for Ray,
please point out.
IMHO, Ray is designed to ease the development of the general purposed
dis
Igosuki commented on pull request #1556:
URL:
https://github.com/apache/arrow-datafusion/pull/1556#issuecomment-1013038787
@houqp What hardware/setup did you use to run the benchmark ? I'm actually
getting way worse performance if running tpch using parquet
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ursabot edited a comment on pull request #12147:
URL: https://github.com/apache/arrow/pull/12147#issuecomment-1012509111
Benchmark runs are scheduled for baseline =
71ce8db417fda0066adc64e5e37cbf0da7fb0da2 and contender =
270416b0d071030bc2ce64adde40df83356c3d2f.
270416b0d071030bc2ce64add
ursabot edited a comment on pull request #12142:
URL: https://github.com/apache/arrow/pull/12142#issuecomment-1012269048
Benchmark runs are scheduled for baseline =
c48353fd21b26bcb894d791d49c29371607eb9b9 and contender =
111347de8295e465c947ef26ba057b8a527bcaa7.
111347de8295e465c947ef26b
xudong963 commented on pull request #1557:
URL:
https://github.com/apache/arrow-datafusion/pull/1557#issuecomment-1013042019
> Thanks @xudong963 !
I wrote this PR without reading the email today, so I didn't notice that you
have already filed a ticket. I'm sorry @alamb
--
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djnavarro opened a new pull request #12154:
URL: https://github.com/apache/arrow/pull/12154
This patch provides dplyr bindings to for lubridate functions
`floor_date()`, `ceiling_date()`, and `round_date()`. This is my first attempt
at writing a patch, so my apologies if I've made any erro
github-actions[bot] commented on pull request #12154:
URL: https://github.com/apache/arrow/pull/12154#issuecomment-1013051995
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Igosuki edited a comment on pull request #1556:
URL:
https://github.com/apache/arrow-datafusion/pull/1556#issuecomment-1013038787
@houqp What hardware/setup did you use to run the benchmark ? I'm actually
getting way worse performance if running tpch using parquet
Edit : ok flamegra
jon-chuang commented on issue #1221:
URL:
https://github.com/apache/arrow-datafusion/issues/1221#issuecomment-1013068782
@yjshen thanks for your questions
> task scheduling, keepalive monitoring, struggler detection, and
speculative task execution\
yes.
yes and failure re
jon-chuang edited a comment on issue #1221:
URL:
https://github.com/apache/arrow-datafusion/issues/1221#issuecomment-1013068782
@yjshen thanks for your questions
> task scheduling, keepalive monitoring, struggler detection, and
speculative task execution\
- yes.
- yes and
alamb commented on pull request #1557:
URL:
https://github.com/apache/arrow-datafusion/pull/1557#issuecomment-1013069049
No worries at all 👍
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jon-chuang edited a comment on issue #1221:
URL:
https://github.com/apache/arrow-datafusion/issues/1221#issuecomment-1013068782
@yjshen thanks for your questions
> task scheduling, keepalive monitoring, struggler detection, and
speculative task execution\
- yes.
- yes and
jcralmeida commented on a change in pull request #11982:
URL: https://github.com/apache/arrow/pull/11982#discussion_r784797747
##
File path: format/FlightSql.proto
##
@@ -867,6 +867,69 @@ enum SqlSupportsConvert {
SQL_CONVERT_VARCHAR = 19;
}
+/*
+ * Represents a request t
jon-chuang edited a comment on issue #1221:
URL:
https://github.com/apache/arrow-datafusion/issues/1221#issuecomment-1013068782
@yjshen thanks for your questions
> task scheduling, keepalive monitoring, struggler detection, and
speculative task execution\
- yes.
- yes and
jon-chuang edited a comment on issue #1221:
URL:
https://github.com/apache/arrow-datafusion/issues/1221#issuecomment-1013068782
@yjshen thanks for your questions
> task scheduling, keepalive monitoring, struggler detection, and
speculative task execution\
- yes.
- yes and
jon-chuang edited a comment on issue #1221:
URL:
https://github.com/apache/arrow-datafusion/issues/1221#issuecomment-1013068782
@yjshen thanks for your questions
> task scheduling, keepalive monitoring, struggler detection, and
speculative task execution\
- yes.
- yes and
jon-chuang edited a comment on issue #1221:
URL:
https://github.com/apache/arrow-datafusion/issues/1221#issuecomment-1012935879
Hi all, I've been working on a Rust API for the Ray distributed computing
framework that powers many popular python ML libraries like RLLib, Ray Train
and Ray Tu
jon-chuang edited a comment on issue #1221:
URL:
https://github.com/apache/arrow-datafusion/issues/1221#issuecomment-1013068782
@yjshen thanks for your questions
> task scheduling, keepalive monitoring, struggler detection, and
speculative task execution\
- yes.
- yes and
jon-chuang edited a comment on issue #1221:
URL:
https://github.com/apache/arrow-datafusion/issues/1221#issuecomment-1013068782
@yjshen thanks for your questions
> task scheduling, keepalive monitoring, struggler detection, and
speculative task execution\
- yes.
- yes and
jon-chuang edited a comment on issue #1221:
URL:
https://github.com/apache/arrow-datafusion/issues/1221#issuecomment-1013068782
@yjshen thanks for your questions
> task scheduling, keepalive monitoring, struggler detection, and
speculative task execution\
- yes.
- yes and
jon-chuang edited a comment on issue #1221:
URL:
https://github.com/apache/arrow-datafusion/issues/1221#issuecomment-1013068782
@yjshen thanks for your questions
> task scheduling, keepalive monitoring, struggler detection, and
speculative task execution\
- yes.
- yes and
alamb commented on pull request #1556:
URL:
https://github.com/apache/arrow-datafusion/pull/1556#issuecomment-1013079492
Thank you @houqp and @Igosuki -- I'll try and take a look at this later
today or tomorrow. I will also start the discussion of "what does this mean for
arrow-rs", whi
jon-chuang edited a comment on issue #1221:
URL:
https://github.com/apache/arrow-datafusion/issues/1221#issuecomment-1013068782
@yjshen thanks for your questions
> task scheduling, keepalive monitoring, struggler detection, and
speculative task execution\
- yes.
- yes and
rok commented on pull request #12154:
URL: https://github.com/apache/arrow/pull/12154#issuecomment-1013080010
This looks great @djnavarro thanks for doing it!
Regarding your TODOs:
> support week_start (essential)
Perhaps you can put in an R shim to get lubridate matchin
jon-chuang edited a comment on issue #1221:
URL:
https://github.com/apache/arrow-datafusion/issues/1221#issuecomment-1012935879
Hi all, I've been working on a Rust API for the Ray distributed computing
framework that powers many popular python ML libraries like RLLib, Ray Train
and Ray Tu
Igosuki commented on pull request #1556:
URL:
https://github.com/apache/arrow-datafusion/pull/1556#issuecomment-1013080406
Ok adding BufReader gave 50% perf on parquet.
https://github.com/houqp/arrow-datafusion/pull/19/commits/d8a184969bd2a88292158cbc704e0cb959b28ea6
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jon-chuang edited a comment on issue #1221:
URL:
https://github.com/apache/arrow-datafusion/issues/1221#issuecomment-1013068782
@yjshen thanks for your questions
> task scheduling, keepalive monitoring, struggler detection, and
speculative task execution\
- yes.
- yes and
jon-chuang edited a comment on issue #1221:
URL:
https://github.com/apache/arrow-datafusion/issues/1221#issuecomment-1013068782
@yjshen thanks for your questions
> task scheduling, keepalive monitoring, struggler detection, and
speculative task execution\
- yes.
- yes and
jon-chuang edited a comment on issue #1221:
URL:
https://github.com/apache/arrow-datafusion/issues/1221#issuecomment-1013068782
@yjshen thanks for your questions
> task scheduling, keepalive monitoring, struggler detection, and
speculative task execution\
- yes.
- yes and
kszucs opened a new pull request #12155:
URL: https://github.com/apache/arrow/pull/12155
Display commit titles in the changelog instead of jira titles. Since we list
all of the resolved jira tickets even without an applied patch, this is only
possible where we have an issue-commit pair ava
github-actions[bot] commented on pull request #12155:
URL: https://github.com/apache/arrow/pull/12155#issuecomment-1013083443
https://issues.apache.org/jira/browse/ARROW-15095
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rok commented on pull request #12154:
URL: https://github.com/apache/arrow/pull/12154#issuecomment-1013085390
Another thing regarding timezones - only timestamps in arrow have timezones.
Dates do not.
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jon-chuang edited a comment on issue #1221:
URL:
https://github.com/apache/arrow-datafusion/issues/1221#issuecomment-1013068782
@yjshen thanks for your questions
> task scheduling, keepalive monitoring, struggler detection, and
speculative task execution\
- yes.
- yes and
jon-chuang edited a comment on issue #1221:
URL:
https://github.com/apache/arrow-datafusion/issues/1221#issuecomment-1013068782
@yjshen thanks for your questions
> task scheduling, keepalive monitoring, struggler detection, and
speculative task execution\
- yes.
- yes and
jon-chuang edited a comment on issue #1221:
URL:
https://github.com/apache/arrow-datafusion/issues/1221#issuecomment-1013068782
@yjshen thanks for your questions
> task scheduling, keepalive monitoring, struggler detection, and
speculative task execution\
- yes.
- yes and
kszucs closed pull request #12145:
URL: https://github.com/apache/arrow/pull/12145
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jon-chuang edited a comment on issue #1221:
URL:
https://github.com/apache/arrow-datafusion/issues/1221#issuecomment-1013068782
@yjshen thanks for your questions
> task scheduling, keepalive monitoring, struggler detection, and
speculative task execution\
- yes.
- yes and
joosthooz commented on a change in pull request #12089:
URL: https://github.com/apache/arrow/pull/12089#discussion_r784816517
##
File path: cpp/src/arrow/compute/exec.cc
##
@@ -110,6 +112,78 @@ int64_t ExecBatch::TotalBufferSize() const {
return sum;
}
+bool AddBuffersToS
ursabot commented on pull request #12145:
URL: https://github.com/apache/arrow/pull/12145#issuecomment-1013091190
Benchmark runs are scheduled for baseline =
99f7c3cf3e6c2a9555ceff3d48ef73e485ede546 and contender =
fc6d408f5adf09cfcf1949354df396edf6e3e4ab.
fc6d408f5adf09cfcf1949354df396ed
paleolimbot commented on a change in pull request #12154:
URL: https://github.com/apache/arrow/pull/12154#discussion_r784807691
##
File path: r/R/util.R
##
@@ -209,3 +209,74 @@ handle_csv_read_error <- function(e, schema) {
abort(e)
}
+
+
+parse_period_unit <- function(x)
paleolimbot commented on pull request #12154:
URL: https://github.com/apache/arrow/pull/12154#issuecomment-1013092505
@jonkeane Can you approve the workflows to run?
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kszucs closed pull request #12146:
URL: https://github.com/apache/arrow/pull/12146
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ursabot commented on pull request #12146:
URL: https://github.com/apache/arrow/pull/12146#issuecomment-1013097351
Benchmark runs are scheduled for baseline =
fc6d408f5adf09cfcf1949354df396edf6e3e4ab and contender =
5632423fea91f5c2c69709c56eb64696bd9301ef.
5632423fea91f5c2c69709c56eb64696
paleolimbot commented on a change in pull request #12152:
URL: https://github.com/apache/arrow/pull/12152#discussion_r784824022
##
File path: r/R/util.R
##
@@ -209,5 +209,5 @@ handle_csv_read_error <- function(e, schema) {
))
}
- abort(e)
+ stop(e)
Review comment:
ursabot edited a comment on pull request #12145:
URL: https://github.com/apache/arrow/pull/12145#issuecomment-1013091190
Benchmark runs are scheduled for baseline =
99f7c3cf3e6c2a9555ceff3d48ef73e485ede546 and contender =
fc6d408f5adf09cfcf1949354df396edf6e3e4ab.
fc6d408f5adf09cfcf1949354
kszucs commented on a change in pull request #11938:
URL: https://github.com/apache/arrow/pull/11938#discussion_r784830527
##
File path: python/pyarrow/dataset.py
##
@@ -47,6 +46,9 @@
_get_partition_keys,
_filesystemdataset_write,
)
+# keep Expression functionality e
kszucs commented on pull request #11938:
URL: https://github.com/apache/arrow/pull/11938#issuecomment-1013105300
@jorisvandenbossche could you please rebase since the PR is rather old
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kszucs edited a comment on pull request #11938:
URL: https://github.com/apache/arrow/pull/11938#issuecomment-1013105300
@jorisvandenbossche could you please rebase since the PR is rather old?
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jorisvandenbossche commented on a change in pull request #11938:
URL: https://github.com/apache/arrow/pull/11938#discussion_r784831930
##
File path: python/pyarrow/dataset.py
##
@@ -47,6 +46,9 @@
_get_partition_keys,
_filesystemdataset_write,
)
+# keep Expression fun
jorisvandenbossche commented on pull request #11938:
URL: https://github.com/apache/arrow/pull/11938#issuecomment-1013105809
I updated it yesterday
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