kou commented on PR #33751:
URL: https://github.com/apache/arrow/pull/33751#issuecomment-1396262181
I re-ran the failed source verification jobs on macOS arm64.
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kou merged PR #33755:
URL: https://github.com/apache/arrow/pull/33755
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emkornfield commented on code in PR #17877:
URL: https://github.com/apache/arrow/pull/17877#discussion_r1080689054
##
cpp/src/parquet/column_reader.cc:
##
@@ -1829,21 +1831,34 @@ class TypedRecordReader : public
TypedColumnReaderImpl,
int64_t null_count = 0;
if
emkornfield commented on code in PR #17877:
URL: https://github.com/apache/arrow/pull/17877#discussion_r1080687189
##
cpp/src/parquet/column_reader.cc:
##
@@ -1829,21 +1831,34 @@ class TypedRecordReader : public
TypedColumnReaderImpl,
int64_t null_count = 0;
if
emkornfield commented on code in PR #17877:
URL: https://github.com/apache/arrow/pull/17877#discussion_r1080681488
##
cpp/src/parquet/column_reader.h:
##
@@ -367,6 +368,7 @@ class PARQUET_EXPORT RecordReader {
uint8_t* values() const { return values_->mutable_data(); }
emkornfield commented on code in PR #17877:
URL: https://github.com/apache/arrow/pull/17877#discussion_r1080679491
##
cpp/src/parquet/column_reader.h:
##
@@ -311,13 +311,14 @@ class PARQUET_EXPORT RecordReader {
static std::shared_ptr Make(
Review Comment:
please add
andygrove opened a new issue, #134:
URL: https://github.com/apache/arrow-datafusion-python/issues/134
**Is your feature request related to a problem or challenge? Please describe
what you are trying to do.**
CI runs Python linters and fails the build if formatting is incorrect.
quinnj commented on issue #186:
URL: https://github.com/apache/arrow-julia/issues/186#issuecomment-1396239024
Yes, @Drvi is my colleague and we worked on the ProtoBuf.jl rewrite together.
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andygrove commented on PR #115:
URL:
https://github.com/apache/arrow-datafusion-python/pull/115#issuecomment-1396233523
@francis-du fyi
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minyoung commented on PR #14989:
URL: https://github.com/apache/arrow/pull/14989#issuecomment-1396232056
@zeroshade you are correct about the first test case (my bad about that).
What about the second test case where everything is marked as nullable though?
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github-actions[bot] commented on PR #33772:
URL: https://github.com/apache/arrow/pull/33772#issuecomment-1396228962
:warning: GitHub issue #15137 **has been automatically assigned in GitHub**
to PR creator.
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github-actions[bot] commented on PR #33772:
URL: https://github.com/apache/arrow/pull/33772#issuecomment-1396228918
* Closes: #15137
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benibus opened a new pull request, #33772:
URL: https://github.com/apache/arrow/pull/33772
The input streams passed to the reader weren't properly taking ownership of
their test strings, despite the stream (potentially) outliving the test's scope.
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andygrove commented on PR #115:
URL:
https://github.com/apache/arrow-datafusion-python/pull/115#issuecomment-1396228300
@jdye64 I have now fixed all the regressions.
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ursabot commented on PR #33718:
URL: https://github.com/apache/arrow/pull/33718#issuecomment-1396221935
Benchmark runs are scheduled for baseline =
98da8191242f22d3de225a08c387f5b150bb7a5c and contender =
85a111f8d5cef3a668c9cf8c47ccb943048e50f6.
85a111f8d5cef3a668c9cf8c47ccb943048e50f6
avantgardnerio commented on code in PR #4977:
URL: https://github.com/apache/arrow-datafusion/pull/4977#discussion_r1080658490
##
datafusion/sql/tests/integration_test.rs:
##
@@ -3390,6 +3390,75 @@ Dml: op=[Update] table=[person]
felipecrv commented on code in PR #15083:
URL: https://github.com/apache/arrow/pull/15083#discussion_r1080657470
##
python/pyarrow/_compute.pyx:
##
@@ -2202,12 +2202,18 @@ def _group_by(args, keys, aggregations):
_pack_compute_args(args, _args)
felipecrv commented on code in PR #15083:
URL: https://github.com/apache/arrow/pull/15083#discussion_r1080656608
##
python/pyarrow/table.pxi:
##
@@ -5358,36 +5358,45 @@ list[tuple(str, str, FunctionOptions)]
values_sum: [[3,7,5]]
keys:
avantgardnerio commented on code in PR #4977:
URL: https://github.com/apache/arrow-datafusion/pull/4977#discussion_r1080656176
##
datafusion/sql/tests/integration_test.rs:
##
@@ -3390,6 +3390,45 @@ Dml: op=[Update] table=[person]
felipecrv commented on code in PR #15083:
URL: https://github.com/apache/arrow/pull/15083#discussion_r1080654731
##
python/pyarrow/table.pxi:
##
@@ -5334,7 +5334,7 @@ class TableGroupBy:
Parameters
--
aggregations : list[tuple(str, str)] or \
comphead commented on issue #3547:
URL: https://github.com/apache/arrow-rs/issues/3547#issuecomment-1396210364
@tustvold @alamb please assign this to me
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alamb commented on PR #3514:
URL: https://github.com/apache/arrow-rs/pull/3514#issuecomment-1396204210
Thanks @JayjeetAtGithub -- I plan to take a look tomorrow
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andygrove commented on code in PR #4977:
URL: https://github.com/apache/arrow-datafusion/pull/4977#discussion_r1080641201
##
datafusion/sql/tests/integration_test.rs:
##
@@ -3390,6 +3390,45 @@ Dml: op=[Update] table=[person]
prepare_stmt_replace_params_quick_test(plan,
rok commented on PR #33731:
URL: https://github.com/apache/arrow/pull/33731#issuecomment-1396182972
> @rok you mean expose in the benchmark output? We have a limited number of
fields there.
If we'd want it we'd probably want a separate benchmark altogether. It would
probably give
otegami commented on issue #33749:
URL: https://github.com/apache/arrow/issues/33749#issuecomment-1396180034
Thank you for reviewing it. I've just fixed it.
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otegami commented on issue #33750:
URL: https://github.com/apache/arrow/issues/33750#issuecomment-1396176291
Thank you for reviewing it. I've just fixed it.
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melgenek commented on PR #4834:
URL:
https://github.com/apache/arrow-datafusion/pull/4834#issuecomment-1396153997
@alamb The pr is updated according to your previous review:
- results are defined explicitly
- Postgres runs only a subset of tests file prefixed with `pg_compat_`
-
avantgardnerio opened a new pull request, #4977:
URL: https://github.com/apache/arrow-datafusion/pull/4977
# Which issue does this PR close?
Closes #4976.
# Rationale for this change
Described in issue.
# What changes are included in this PR?
Type inference
melgenek commented on code in PR #4834:
URL: https://github.com/apache/arrow-datafusion/pull/4834#discussion_r1080604136
##
datafusion/core/tests/sqllogictests/postgres/test_files/simple_except.slt:
##
@@ -0,0 +1,27 @@
+# Licensed to the Apache Software Foundation (ASF) under
melgenek commented on code in PR #4834:
URL: https://github.com/apache/arrow-datafusion/pull/4834#discussion_r1080603376
##
datafusion/core/tests/sqllogictests/postgres/test_files/self_join_with_alias.slt:
##
@@ -0,0 +1,24 @@
+# Licensed to the Apache Software Foundation (ASF)
avantgardnerio opened a new issue, #4976:
URL: https://github.com/apache/arrow-datafusion/issues/4976
**Is your feature request related to a problem or challenge? Please describe
what you are trying to do.**
As of recently, we added support to run DML statements, and to infer
melgenek commented on code in PR #4834:
URL: https://github.com/apache/arrow-datafusion/pull/4834#discussion_r1080602268
##
datafusion/core/tests/sqllogictests/src/main.rs:
##
@@ -15,112 +15,135 @@
// specific language governing permissions and limitations
// under the
melgenek commented on code in PR #4834:
URL: https://github.com/apache/arrow-datafusion/pull/4834#discussion_r1080601217
##
datafusion/core/tests/sqllogictests/postgres/test_files/simple_window_partition_order_aggregation.slt:
##
@@ -0,0 +1,37 @@
+# Licensed to the Apache
melgenek commented on code in PR #4834:
URL: https://github.com/apache/arrow-datafusion/pull/4834#discussion_r1080600633
##
datafusion/core/tests/sqllogictests/postgres/test_files/simple_aggregation.slt:
##
@@ -0,0 +1,29 @@
+# Licensed to the Apache Software Foundation (ASF)
melgenek commented on code in PR #4834:
URL: https://github.com/apache/arrow-datafusion/pull/4834#discussion_r1080579104
##
datafusion/core/Cargo.toml:
##
@@ -104,17 +104,22 @@ xz2 = { version = "0.1", optional = true }
[dev-dependencies]
arrow = { version = "31.0.0",
adriangb commented on issue #173:
URL: https://github.com/apache/arrow-ballista/issues/173#issuecomment-1396138349
> Where would the HTTP server be hosted? Scheduler? Single Executor process?
Multiple Executor processes? An entirely new process?
I'd think it'd be very similar to an
jdye64 commented on PR #115:
URL:
https://github.com/apache/arrow-datafusion-python/pull/115#issuecomment-1396127683
Actually I see that `config.rs` also needs some refactoring and updating.
That also seems like a heavy fix for this PR however.
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andygrove opened a new pull request, #4975:
URL: https://github.com/apache/arrow-datafusion/pull/4975
# Which issue does this PR close?
Closes #.
# Rationale for this change
# What changes are included in this PR?
# Are these changes
lidavidm merged PR #33766:
URL: https://github.com/apache/arrow/pull/33766
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ursabot commented on PR #4701:
URL:
https://github.com/apache/arrow-datafusion/pull/4701#issuecomment-1396123254
Benchmark runs are scheduled for baseline =
64fa312ecc5f32294e70fd7389e18cb41f25e732 and contender =
e6a050058bd704f73b38106b7abf21dc4539eebc.
github-actions[bot] commented on PR #33770:
URL: https://github.com/apache/arrow/pull/33770#issuecomment-1396123137
:warning: GitHub issue #33760 **has been automatically assigned in GitHub**
to PR creator.
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github-actions[bot] commented on PR #33770:
URL: https://github.com/apache/arrow/pull/33770#issuecomment-1396123106
* Closes: #33760
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nealrichardson opened a new pull request, #33770:
URL: https://github.com/apache/arrow/pull/33770
### Rationale for this change
Followup to https://github.com/apache/arrow/pull/19706/files#r1073391100
with the goal of deleting and simplifying some code.
Unfortunately, it does
lidavidm commented on issue #33767:
URL: https://github.com/apache/arrow/issues/33767#issuecomment-1396121047
@pitrou I noticed this while using PyArrow to import an ArrowArrayStream
exported from Go. PyArrow apparently passes in an uninitialized ArrowArray to
Go, and Go was assuming it
westonpace commented on issue #33759:
URL: https://github.com/apache/arrow/issues/33759#issuecomment-1396119442
Which version of pyarrow are you using?
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wjones127 commented on PR #33731:
URL: https://github.com/apache/arrow/pull/33731#issuecomment-1396118796
> Would there be need to expose [jemalloc
stats](https://github.com/apache/arrow/blob/1d9366f19e4b9846b33cc0c7bd7941cb5f482d74/cpp/src/arrow/memory_pool_test.cc#L190-L199)
as well?
jdye64 commented on PR #115:
URL:
https://github.com/apache/arrow-datafusion-python/pull/115#issuecomment-1396118042
@andygrove given that the remaining test failures preventing this PR from
getting merged all all related to `window` logic, and it seems window logic
bindings in general
wjones127 commented on PR #33731:
URL: https://github.com/apache/arrow/pull/33731#issuecomment-1396117917
Local benchmarks confirm this doesn't seem to have a meaningful affect on
performance:
```
avantgardnerio closed issue #4683: Support PREPARE statements without explicit
parameters
URL: https://github.com/apache/arrow-datafusion/issues/4683
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avantgardnerio merged PR #4701:
URL: https://github.com/apache/arrow-datafusion/pull/4701
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ziggythehamster commented on issue #33733:
URL: https://github.com/apache/arrow/issues/33733#issuecomment-1396103997
> In your use case, what packages depend on `openssl11-devel`?
Several internal packages require it. It would have been better for AL2 to
ship the headers in an
westonpace commented on PR #33684:
URL: https://github.com/apache/arrow/pull/33684#issuecomment-1396102377
@ucasfl thanks for cleaning this up!
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github-actions[bot] commented on PR #33768:
URL: https://github.com/apache/arrow/pull/33768#issuecomment-1396097331
* Closes: #33767
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rok commented on PR #33731:
URL: https://github.com/apache/arrow/pull/33731#issuecomment-1396081435
Would there be need to expose [jemalloc
stats](https://github.com/apache/arrow/blob/1d9366f19e4b9846b33cc0c7bd7941cb5f482d74/cpp/src/arrow/memory_pool_test.cc#L190-L199)
as well?
--
This
ursabot commented on PR #3557:
URL: https://github.com/apache/arrow-rs/pull/3557#issuecomment-1396077719
Benchmark runs are scheduled for baseline =
3ae1c728b266c1ba801409eb7f4b901285783e94 and contender =
de62808a9d65e052ff3e89550bf780d952c8ceae.
de62808a9d65e052ff3e89550bf780d952c8ceae
jdye64 commented on issue #173:
URL: https://github.com/apache/arrow-ballista/issues/173#issuecomment-1396077503
I have no hands-on experience with the HTTP UDFs model but am intrigued by
the approach. Thank you for laying out your thoughts. Had some thoughts and
questions.
rok commented on issue #33762:
URL: https://github.com/apache/arrow/issues/33762#issuecomment-1396075486
I'd be happy to do the migration.
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wjones127 commented on PR #33731:
URL: https://github.com/apache/arrow/pull/33731#issuecomment-1396074423
Testing locally, this doesn't seem to have a meaningful performance impact:
```
tustvold merged PR #3557:
URL: https://github.com/apache/arrow-rs/pull/3557
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andygrove closed issue #122: support creating arrow-datafusion-python conda
environment
URL: https://github.com/apache/arrow-datafusion-python/issues/122
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andygrove merged PR #124:
URL: https://github.com/apache/arrow-datafusion-python/pull/124
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saikrishna1-bidgely commented on PR #4908:
URL:
https://github.com/apache/arrow-datafusion/pull/4908#issuecomment-1396064487
> This looks like a nice improvement @saikrishna1-bidgely
>
> I think we should add a test for this new functionality so that we don't
accidentally break the
askoa commented on code in PR #3553:
URL: https://github.com/apache/arrow-rs/pull/3553#discussion_r1080529425
##
arrow-array/src/types.rs:
##
@@ -240,6 +240,17 @@ impl ArrowDictionaryKeyType for UInt32Type {}
impl ArrowDictionaryKeyType for UInt64Type {}
+/// A subtype of
ursabot commented on PR #33680:
URL: https://github.com/apache/arrow/pull/33680#issuecomment-1396051505
Benchmark runs are scheduled for baseline =
c525b57295e5ab9cb9e2591342d0b01a357660a3 and contender =
98da8191242f22d3de225a08c387f5b150bb7a5c.
98da8191242f22d3de225a08c387f5b150bb7a5c
lidavidm commented on issue #32584:
URL: https://github.com/apache/arrow/issues/32584#issuecomment-1387744157
I'm not sure since I wasn't the original reporter. If it's fixed for you,
let's close it.
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amoeba commented on issue #32584:
URL: https://github.com/apache/arrow/issues/32584#issuecomment-1387743095
Hi @lidavidm, I think this is no longer an issue since
https://github.com/apache/arrow/pull/14077 was merged. This example builds and
runs successfully on my macOS laptop and the
wjones127 commented on code in PR #33748:
URL: https://github.com/apache/arrow/pull/33748#discussion_r1074039131
##
r/NEWS.md:
##
@@ -19,6 +19,77 @@
# arrow 10.0.1.9000
+## New features
+
+### Docs
+
+* A substantial reorganisation, rewrite of and addition to, many of the
viirya commented on PR #3559:
URL: https://github.com/apache/arrow-rs/pull/3559#issuecomment-1387729848
Thank you @changhiskhan
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amoeba opened a new pull request, #33766:
URL: https://github.com/apache/arrow/pull/33766
### Rationale for this change
Prior to this change, a link in [Building Arrow
C++](https://arrow.apache.org/docs/developers/cpp/building.html) to the CMake
UNITY_BUILD docs 404s due to a typo.
changhiskhan closed pull request #3559: [python] Remove FutureWarning
URL: https://github.com/apache/arrow-rs/pull/3559
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To
viirya commented on code in PR #3553:
URL: https://github.com/apache/arrow-rs/pull/3553#discussion_r1074016831
##
arrow-array/src/types.rs:
##
@@ -240,6 +240,17 @@ impl ArrowDictionaryKeyType for UInt32Type {}
impl ArrowDictionaryKeyType for UInt64Type {}
+/// A subtype of
askoa commented on code in PR #3553:
URL: https://github.com/apache/arrow-rs/pull/3553#discussion_r1074013570
##
arrow-array/src/builder/primitive_ree_array_builder.rs:
##
@@ -0,0 +1,218 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+// or more contributor
changhiskhan opened a new pull request, #3559:
URL: https://github.com/apache/arrow-rs/pull/3559
Currently RecordBatch::to_pyarrow passes the Schema in the second arg
position which causes a FutureWarning. Instead we change it to use the `schema`
kwarg.
# Which issue does this PR
askoa commented on code in PR #3553:
URL: https://github.com/apache/arrow-rs/pull/3553#discussion_r1074002982
##
arrow-array/src/array/run_end_encoded_array.rs:
##
@@ -0,0 +1,518 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+// or more contributor license
askoa commented on code in PR #3553:
URL: https://github.com/apache/arrow-rs/pull/3553#discussion_r1074002717
##
arrow-array/src/types.rs:
##
@@ -240,6 +240,17 @@ impl ArrowDictionaryKeyType for UInt32Type {}
impl ArrowDictionaryKeyType for UInt64Type {}
+/// A subtype of
tustvold commented on code in PR #3558:
URL: https://github.com/apache/arrow-rs/pull/3558#discussion_r1073983917
##
arrow-select/src/dictionary.rs:
##
@@ -0,0 +1,171 @@
+use crate::interleave::interleave;
+use arrow_array::builder::BooleanBufferBuilder;
+use
tustvold opened a new pull request, #3558:
URL: https://github.com/apache/arrow-rs/pull/3558
_Need to benchmark and integrate into interleave kernel, but creating as
draft for visibility_
# Which issue does this PR close?
Closes #506
Relates to #2832
#
tustvold closed issue #347: Reduce memory of concat kernel
URL: https://github.com/apache/arrow-rs/issues/347
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nealrichardson commented on issue #33758:
URL: https://github.com/apache/arrow/issues/33758#issuecomment-1387643701
> Arrow 8.0.0 works.
>
> Are you are stating the issue lies within SparkR and I should engage them?
Looks like it has [already been
jdye64 commented on PR #4892:
URL:
https://github.com/apache/arrow-datafusion/pull/4892#issuecomment-1387641133
@andygrove does this look ok to you after the changes to
`DataFusionError::Substrait`?
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jdye64 commented on issue #132:
URL:
https://github.com/apache/arrow-datafusion-python/issues/132#issuecomment-1387623270
Depends on https://github.com/apache/arrow-datafusion-python/pull/115 since
substrait was not added until the DataFusion 16.0.0 release.
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jdye64 commented on issue #133:
URL:
https://github.com/apache/arrow-datafusion-python/issues/133#issuecomment-1387622417
Depends on https://github.com/apache/arrow-datafusion-python/pull/115 since
`CSVReadOptions` are not present until version 16.0.0
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jdye64 opened a new issue, #133:
URL: https://github.com/apache/arrow-datafusion-python/issues/133
**Is your feature request related to a problem or challenge? Please describe
what you are trying to do.**
Support for reading compressed CSV/JSON files was recently added to
cyborne100 commented on issue #33758:
URL: https://github.com/apache/arrow/issues/33758#issuecomment-1387609699
Arrow 8.0.0 works.
Are you are stating the issue lies within SparkR and I should engage them?
Was SparkR archived or moved to Apache Spark proper
assignUser commented on issue #33762:
URL: https://github.com/apache/arrow/issues/33762#issuecomment-1387592504
Maybe @pitrou can start a lazy consensus thread on the parquet mailing list
about that?
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dependabot[bot] commented on PR #3552:
URL: https://github.com/apache/arrow-rs/pull/3552#issuecomment-1387581564
OK, I won't notify you again about this release, but will get in touch when
a new version is available. If you'd rather skip all updates until the next
major or minor version,
viirya closed pull request #3552: Update pyo3 requirement from 0.17 to 0.18
URL: https://github.com/apache/arrow-rs/pull/3552
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alamb commented on issue #36:
URL: https://github.com/apache/arrow-rs/issues/36#issuecomment-1387576999
I am not sure what this ticket is referring to so let's close it
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alamb closed issue #36: Workaround for writing Cargo.lock to read-only mounted
source directory in docker-compose
URL: https://github.com/apache/arrow-rs/issues/36
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nealrichardson commented on issue #33762:
URL: https://github.com/apache/arrow/issues/33762#issuecomment-1387555152
> Would love to get rid of all of that but we still have ~5 PARQUET issues
per release from JIRA. IMO we should just get rid of that too, I think most of
the parquet issues
viirya opened a new pull request, #3557:
URL: https://github.com/apache/arrow-rs/pull/3557
# Which issue does this PR close?
Closes #.
# Rationale for this change
# What changes are included in this PR?
# Are there any user-facing changes?
jacobmarble commented on PR #33716:
URL: https://github.com/apache/arrow/pull/33716#issuecomment-1387541762
I'm also curious about use cases. Deployed [PostgreSQL
FE/BE](https://www.postgresql.org/docs/15/protocol.html) clients number in the
zillions, so there would seem to be more
assignUser commented on issue #33762:
URL: https://github.com/apache/arrow/issues/33762#issuecomment-1387536040
Would love to get rid of all of that but we still have ~5 PARQUET issues per
release from JIRA. IMO we should just get rid of that too, I think most of the
parquet issues are
ursabot commented on PR #4945:
URL:
https://github.com/apache/arrow-datafusion/pull/4945#issuecomment-1387534173
Benchmark runs are scheduled for baseline =
896fd3f8f0fec61a699b7f883f5508dc5658fc96 and contender =
64fa312ecc5f32294e70fd7389e18cb41f25e732.
ursabot commented on PR #4971:
URL:
https://github.com/apache/arrow-datafusion/pull/4971#issuecomment-1387534128
Benchmark runs are scheduled for baseline =
8a34fe13927b5882fe2affdefa80d332877ca97b and contender =
896fd3f8f0fec61a699b7f883f5508dc5658fc96.
ursabot commented on PR #4942:
URL:
https://github.com/apache/arrow-datafusion/pull/4942#issuecomment-1387534089
Benchmark runs are scheduled for baseline =
ef4ca7e8f0cda9d0c5fe73381473a2e3a989c601 and contender =
8a34fe13927b5882fe2affdefa80d332877ca97b.
ursabot commented on PR #4916:
URL:
https://github.com/apache/arrow-datafusion/pull/4916#issuecomment-1387534044
Benchmark runs are scheduled for baseline =
ba9fc129b11fe08dd2be98a4cd7915d230e29488 and contender =
ef4ca7e8f0cda9d0c5fe73381473a2e3a989c601.
github-actions[bot] commented on PR #33764:
URL: https://github.com/apache/arrow/pull/33764#issuecomment-1387533188
:warning: GitHub issue #15109 **has been automatically assigned in GitHub**
to PR creator.
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github-actions[bot] commented on PR #33764:
URL: https://github.com/apache/arrow/pull/33764#issuecomment-1387533113
* Closes: #15109
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0x26res opened a new pull request, #33764:
URL: https://github.com/apache/arrow/pull/33764
@jorisvandenbossche
- I made minor changes to the C++ code, I couldn't help myself
- I've followed your suggestion, I've used `{}` to represent an empty struct
python value, instead of `[]`.
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