dependabot[bot] closed pull request #555: build(deps): bump pyo3-build-config
from 0.20.0 to 0.20.2
URL: https://github.com/apache/arrow-datafusion-python/pull/555
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dependabot[bot] commented on PR #555:
URL:
https://github.com/apache/arrow-datafusion-python/pull/555#issuecomment-1879977968
Looks like pyo3-build-config is up-to-date now, so this is no longer needed.
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viirya merged PR #557:
URL: https://github.com/apache/arrow-datafusion-python/pull/557
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yyy1000 commented on issue #8764:
URL:
https://github.com/apache/arrow-datafusion/issues/8764#issuecomment-1879975135
I'd like to work on this as a good start. :)
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conbench-apache-arrow[bot] commented on PR #39475:
URL: https://github.com/apache/arrow/pull/39475#issuecomment-1879970543
After merging your PR, Conbench analyzed the 6 benchmarking runs that have
been run so far on merge-commit 17b946c745cbcc4ee62a8607301db1939f364c68.
There were 2
mapleFU commented on issue #39489:
URL: https://github.com/apache/arrow/issues/39489#issuecomment-1879966745
Thanks for point this out!
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Jefffrey opened a new issue, #5288:
URL: https://github.com/apache/arrow-rs/issues/5288
**Which part is this question about**
Date64 array values.
**Describe your question**
Docs for Date64 type states:
https://github.com/apache/arrow-rs/blob/a61e824abdd7b
haohuaijin commented on code in PR #8774:
URL: https://github.com/apache/arrow-datafusion/pull/8774#discussion_r1443932497
##
datafusion/optimizer/src/optimize_projections.rs:
##
@@ -677,6 +676,22 @@ fn outer_columns_helper(expr: &Expr, columns: &mut
HashSet) -> bool {
haohuaijin commented on code in PR #8774:
URL: https://github.com/apache/arrow-datafusion/pull/8774#discussion_r1443932497
##
datafusion/optimizer/src/optimize_projections.rs:
##
@@ -677,6 +676,22 @@ fn outer_columns_helper(expr: &Expr, columns: &mut
HashSet) -> bool {
viirya merged PR #556:
URL: https://github.com/apache/arrow-datafusion-python/pull/556
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marvinlanhenke commented on issue #7892:
URL:
https://github.com/apache/arrow-datafusion/issues/7892#issuecomment-1879947879
@devinjdangelo
thank you so much for the explanation. I wasn't aware of the convention [1]
and thus not sure if the schema handling was intended this way. Now, it
viirya merged PR #558:
URL: https://github.com/apache/arrow-datafusion-python/pull/558
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viirya merged PR #559:
URL: https://github.com/apache/arrow-datafusion-python/pull/559
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conbench-apache-arrow[bot] commented on PR #39470:
URL: https://github.com/apache/arrow/pull/39470#issuecomment-1879926519
After merging your PR, Conbench analyzed the 5 benchmarking runs that have
been run so far on merge-commit 694fd7ed89e9e5dd02af1ddf84dd098de87bbcea.
There were no
likun61 commented on code in PR #39441:
URL: https://github.com/apache/arrow/pull/39441#discussion_r1443894967
##
cpp/src/gandiva/regex_functions_holder.cc:
##
@@ -275,4 +275,78 @@ const char* ExtractHolder::operator()(ExecutionContext*
ctx, const char* user_in
return re
likun61 commented on code in PR #39441:
URL: https://github.com/apache/arrow/pull/39441#discussion_r1443895017
##
cpp/src/gandiva/regex_functions_holder_test.cc:
##
@@ -635,4 +635,93 @@ TEST_F(TestExtractHolder, TestErrorWhileBuildingHolder) {
execution_context_.Reset();
github-actions[bot] commented on PR #39490:
URL: https://github.com/apache/arrow/pull/39490#issuecomment-1879920289
:warning: GitHub issue #39488 **has been automatically assigned in GitHub**
to PR creator.
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kou opened a new pull request, #39490:
URL: https://github.com/apache/arrow/pull/39490
### Rationale for this change
We can't use `@cache ||= build_cache` idiom in Ractor because Ractor
requires that shared objects are immutable.
### What changes are included in this PR?
llama90 commented on issue #39182:
URL: https://github.com/apache/arrow/issues/39182#issuecomment-1879917857
### Progress Update
If we remove the legacy `CastTo`, we must also update the `ToString`
function to call the new `Cast` function.
I suspect that the following unit tes
likun61 commented on code in PR #39441:
URL: https://github.com/apache/arrow/pull/39441#discussion_r1443895017
##
cpp/src/gandiva/regex_functions_holder_test.cc:
##
@@ -635,4 +635,93 @@ TEST_F(TestExtractHolder, TestErrorWhileBuildingHolder) {
execution_context_.Reset();
likun61 commented on code in PR #39441:
URL: https://github.com/apache/arrow/pull/39441#discussion_r1443894967
##
cpp/src/gandiva/regex_functions_holder.cc:
##
@@ -275,4 +275,78 @@ const char* ExtractHolder::operator()(ExecutionContext*
ctx, const char* user_in
return re
jayzhan211 commented on issue #8506:
URL:
https://github.com/apache/arrow-datafusion/issues/8506#issuecomment-1879913865
I think there is a little issue with the current design.
We rewrite the `| |` operator to function after the logical plan is built.
Before OperatorToFunction is applie
Divyansh200102 closed pull request #39123: GH-36612: [C++] Ensure compatibility
between std::span and arrow::util::span
URL: https://github.com/apache/arrow/pull/39123
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jayzhan211 commented on code in PR #8594:
URL: https://github.com/apache/arrow-datafusion/pull/8594#discussion_r1443882484
##
datafusion/expr/src/signature.rs:
##
@@ -122,6 +122,9 @@ pub enum TypeSignature {
/// List dimension of the List/LargeList is equivalent to the numb
jayzhan211 commented on code in PR #8594:
URL: https://github.com/apache/arrow-datafusion/pull/8594#discussion_r1443882644
##
datafusion/expr/src/signature.rs:
##
@@ -122,6 +122,9 @@ pub enum TypeSignature {
/// List dimension of the List/LargeList is equivalent to the numb
jayzhan211 commented on code in PR #8594:
URL: https://github.com/apache/arrow-datafusion/pull/8594#discussion_r1443882484
##
datafusion/expr/src/signature.rs:
##
@@ -122,6 +122,9 @@ pub enum TypeSignature {
/// List dimension of the List/LargeList is equivalent to the numb
jayzhan211 commented on code in PR #8562:
URL: https://github.com/apache/arrow-datafusion/pull/8562#discussion_r1443880303
##
datafusion/common/src/scalar.rs:
##
@@ -142,13 +143,13 @@ pub enum ScalarValue {
/// Fixed size list scalar.
///
/// The array must be a F
joellubi commented on PR #38385:
URL: https://github.com/apache/arrow/pull/38385#issuecomment-1879892514
@lidavidm @emkornfield Following up on some thoughts I had on the general
approach of this PR. This discussion above regarding splitting up DDL and Write
operations got me looking at the
conbench-apache-arrow[bot] commented on PR #39367:
URL: https://github.com/apache/arrow/pull/39367#issuecomment-1879891518
After merging your PR, Conbench analyzed the 5 benchmarking runs that have
been run so far on merge-commit 278bcab07709d8d896d7fe7df981482304bd9fc5.
There were no
aiguofer commented on PR #39356:
URL: https://github.com/apache/arrow/pull/39356#issuecomment-1879887403
@lidavidm done!
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kou opened a new pull request, #1438:
URL: https://github.com/apache/arrow-adbc/pull/1438
Fixes #1437.
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kou opened a new pull request, #1436:
URL: https://github.com/apache/arrow-adbc/pull/1436
Fixes #1435.
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rspears74 commented on PR #8562:
URL:
https://github.com/apache/arrow-datafusion/pull/8562#issuecomment-1879877160
Not sure why the MSRV check is failing?
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kou merged PR #39362:
URL: https://github.com/apache/arrow/pull/39362
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kou commented on code in PR #39362:
URL: https://github.com/apache/arrow/pull/39362#discussion_r1443871156
##
cpp/src/arrow/compute/kernels/scalar_cast_dictionary.cc:
##
@@ -77,17 +85,24 @@ Status CastToDictionary(KernelContext* ctx, const ExecSpan&
batch, ExecResult* o
retu
wjones127 commented on code in PR #8562:
URL: https://github.com/apache/arrow-datafusion/pull/8562#discussion_r1443869268
##
datafusion/common/src/scalar.rs:
##
@@ -2433,11 +2455,14 @@ impl ScalarValue {
ScalarValue::LargeBinary(val) => {
eq_array_p
llama90 commented on code in PR #39362:
URL: https://github.com/apache/arrow/pull/39362#discussion_r1443869238
##
cpp/src/arrow/compute/kernels/scalar_cast_dictionary.cc:
##
@@ -77,17 +85,24 @@ Status CastToDictionary(KernelContext* ctx, const ExecSpan&
batch, ExecResult* o
kou merged PR #39324:
URL: https://github.com/apache/arrow/pull/39324
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kou commented on code in PR #39324:
URL: https://github.com/apache/arrow/pull/39324#discussion_r1443863862
##
dev/archery/requirements-test.txt:
##
@@ -0,0 +1,2 @@
+pytest
Review Comment:
> Well, apparently requirements files are excluded from the RAT checks?
In gener
devinjdangelo commented on PR #8667:
URL:
https://github.com/apache/arrow-datafusion/pull/8667#issuecomment-1879836968
I've been thinking about this more, and I think we need a similar interface
to how we register a custom `TableProvider` at the `SessionContext` level. The
idea being we'd
rspears74 commented on code in PR #8562:
URL: https://github.com/apache/arrow-datafusion/pull/8562#discussion_r1443860094
##
datafusion/common/src/scalar.rs:
##
@@ -142,13 +143,13 @@ pub enum ScalarValue {
/// Fixed size list scalar.
///
/// The array must be a Fi
rspears74 commented on code in PR #8562:
URL: https://github.com/apache/arrow-datafusion/pull/8562#discussion_r1443859383
##
datafusion/common/src/scalar.rs:
##
@@ -2433,11 +2455,14 @@ impl ScalarValue {
ScalarValue::LargeBinary(val) => {
eq_array_p
rspears74 commented on code in PR #8562:
URL: https://github.com/apache/arrow-datafusion/pull/8562#discussion_r1443859383
##
datafusion/common/src/scalar.rs:
##
@@ -2433,11 +2455,14 @@ impl ScalarValue {
ScalarValue::LargeBinary(val) => {
eq_array_p
devinjdangelo commented on issue #7892:
URL:
https://github.com/apache/arrow-datafusion/issues/7892#issuecomment-1879833196
Hey @marvinlanhenke , thanks for digging into this.
> I am not sure if I am correct, and why the partition_cols need to be
excluded and then added to the end l
kou merged PR #39228:
URL: https://github.com/apache/arrow/pull/39228
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kou commented on code in PR #39362:
URL: https://github.com/apache/arrow/pull/39362#discussion_r1443856865
##
cpp/src/arrow/compute/kernels/scalar_cast_dictionary.cc:
##
@@ -77,17 +85,24 @@ Status CastToDictionary(KernelContext* ctx, const ExecSpan&
batch, ExecResult* o
retu
conbench-apache-arrow[bot] commented on PR #39486:
URL: https://github.com/apache/arrow/pull/39486#issuecomment-1879831253
Thanks for your patience. Conbench analyzed the 6 benchmarking runs that
have been run so far on PR commit 0529cce31a71d4c2f8236994efa94e7817b608aa.
There were 3
wjones127 commented on code in PR #8562:
URL: https://github.com/apache/arrow-datafusion/pull/8562#discussion_r1443855691
##
datafusion/common/src/scalar.rs:
##
@@ -942,9 +958,9 @@ impl ScalarValue {
ScalarValue::Binary(_) => DataType::Binary,
ScalarVal
ozankabak commented on PR #8664:
URL:
https://github.com/apache/arrow-datafusion/pull/8664#issuecomment-1879821075
Two pieces of news from our side:
1. I think I figured out a possible way to simplify the overall
`TreeNode`-related code and reduce code duplication significantly. I plan t
comphead merged PR #8620:
URL: https://github.com/apache/arrow-datafusion/pull/8620
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dependabot[bot] opened a new pull request, #559:
URL: https://github.com/apache/arrow-datafusion-python/pull/559
Bumps [syn](https://github.com/dtolnay/syn) from 2.0.41 to 2.0.43.
Release notes
Sourced from https://github.com/dtolnay/syn/releases";>syn's
releases.
2.0.43
dependabot[bot] opened a new pull request, #558:
URL: https://github.com/apache/arrow-datafusion-python/pull/558
Bumps [tokio](https://github.com/tokio-rs/tokio) from 1.35.0 to 1.35.1.
Release notes
Sourced from https://github.com/tokio-rs/tokio/releases";>tokio's releases.
T
dependabot[bot] opened a new pull request, #557:
URL: https://github.com/apache/arrow-datafusion-python/pull/557
Bumps [pyo3](https://github.com/pyo3/pyo3) from 0.20.0 to 0.20.2.
Release notes
Sourced from https://github.com/pyo3/pyo3/releases";>pyo3's
releases.
PyO3 0.20.2
dependabot[bot] opened a new pull request, #556:
URL: https://github.com/apache/arrow-datafusion-python/pull/556
Bumps [async-trait](https://github.com/dtolnay/async-trait) from 0.1.74 to
0.1.77.
Release notes
Sourced from https://github.com/dtolnay/async-trait/releases";>async-tra
dependabot[bot] opened a new pull request, #555:
URL: https://github.com/apache/arrow-datafusion-python/pull/555
Bumps [pyo3-build-config](https://github.com/pyo3/pyo3) from 0.20.0 to
0.20.2.
Release notes
Sourced from https://github.com/pyo3/pyo3/releases";>pyo3-build-config's
re
dependabot[bot] opened a new pull request, #554:
URL: https://github.com/apache/arrow-datafusion-python/pull/554
Bumps [futures](https://github.com/rust-lang/futures-rs) from 0.3.29 to
0.3.30.
Release notes
Sourced from https://github.com/rust-lang/futures-rs/releases";>futures's
comphead merged PR #8728:
URL: https://github.com/apache/arrow-datafusion/pull/8728
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zanmato1984 commented on issue #20339:
URL: https://github.com/apache/arrow/issues/20339#issuecomment-1879783832
take
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github-actions[bot] commented on PR #39487:
URL: https://github.com/apache/arrow/pull/39487#issuecomment-1879783732
:warning: GitHub issue #20339 **has been automatically assigned in GitHub**
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qrilka commented on issue #7647:
URL:
https://github.com/apache/arrow-datafusion/issues/7647#issuecomment-1879783659
@alamb what could be some evidence for 3.2? Is there anything in the code
base or maybe in some other ticket? The plan you show makes total sense
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zanmato1984 opened a new pull request, #39487:
URL: https://github.com/apache/arrow/pull/39487
### Rationale for this change
### What changes are included in this PR?
### Are these changes tested?
### Are there any user-facing changes?
rspears74 commented on code in PR #8562:
URL: https://github.com/apache/arrow-datafusion/pull/8562#discussion_r1443800597
##
datafusion/common/src/scalar.rs:
##
@@ -2937,13 +3015,33 @@ impl fmt::Display for ScalarValue {
)?,
None => write!(f, "N
alamb commented on PR #8733:
URL:
https://github.com/apache/arrow-datafusion/pull/8733#issuecomment-1879744365
The CI test failure is unrelated to this PR -- and @jayzhan211 fixed it in
https://github.com/apache/arrow-datafusion/pull/8775. The CI should be clean
with a merge up from main
alamb closed issue #8755: Use correct attribution in footer of documentation
pages
URL: https://github.com/apache/arrow-datafusion/issues/8755
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alamb merged PR #8760:
URL: https://github.com/apache/arrow-datafusion/pull/8760
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alamb merged PR #8762:
URL: https://github.com/apache/arrow-datafusion/pull/8762
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andygrove commented on PR #8762:
URL:
https://github.com/apache/arrow-datafusion/pull/8762#issuecomment-1879740921
> One thing I wondered about is if you meant to commit
`docs/logos/DataFusion-LogoAndColorPaletteExploration_v01.pdf` as well -- it
looks quite cool
Motivation for addi
jay-bulk commented on issue #36625:
URL: https://github.com/apache/arrow/issues/36625#issuecomment-1879727838
I'm not disagreeing that this should be closed, mind you. I've abandoned
direct use of arrow flight altogether. I use dremio (built on arrow flight) and
instead of calling the arrow
conbench-apache-arrow[bot] commented on PR #39260:
URL: https://github.com/apache/arrow/pull/39260#issuecomment-1879722890
After merging your PR, Conbench analyzed the 5 benchmarking runs that have
been run so far on merge-commit afb40a9f5a33802897e1d5bae8305c81da7beee1.
There were no
alamb merged PR #8749:
URL: https://github.com/apache/arrow-datafusion/pull/8749
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alamb commented on PR #8749:
URL:
https://github.com/apache/arrow-datafusion/pull/8749#issuecomment-1879717762
Thank you @wjones127
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alamb commented on code in PR #8728:
URL: https://github.com/apache/arrow-datafusion/pull/8728#discussion_r1443779796
##
.github/workflows/rust.yml:
##
@@ -310,11 +310,10 @@ jobs:
cd datafusion-cli
cargo test --lib --tests --bins --all-features
env
alamb commented on issue #8704:
URL:
https://github.com/apache/arrow-datafusion/issues/8704#issuecomment-1879716970
DataFUsion:
- [x]
https://github.com/apache/arrow-datafusion/pull/8774#pullrequestreview-1807481671
- [ ] https://github.com/apache/arrow-datafusion/pull/8775
- [ ] h
alamb commented on code in PR #8774:
URL: https://github.com/apache/arrow-datafusion/pull/8774#discussion_r1443779477
##
datafusion/optimizer/src/optimize_projections.rs:
##
@@ -677,6 +676,22 @@ fn outer_columns_helper(expr: &Expr, columns: &mut
HashSet) -> bool {
alamb commented on code in PR #8775:
URL: https://github.com/apache/arrow-datafusion/pull/8775#discussion_r1443778741
##
datafusion/sqllogictest/test_files/dictionary.slt:
##
@@ -148,7 +148,7 @@ select count(*) from m1 where tag_id = '1000' and time <
'2024-01-03T14:46:35+01
-
alamb merged PR #8775:
URL: https://github.com/apache/arrow-datafusion/pull/8775
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alamb closed pull request #8769: Minor: Fix flake in newly added dictionary.slt
test
URL: https://github.com/apache/arrow-datafusion/pull/8769
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alamb commented on issue #614:
URL: https://github.com/apache/arrow-rs/issues/614#issuecomment-1879713944
THanks for trying @Jefffrey -- I agree I don't know what that error means,
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jduo commented on PR #39221:
URL: https://github.com/apache/arrow/pull/39221#issuecomment-1879695298
Doc changes are required as different modules require more command line
arguments. I'll update the docs.
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jduo commented on PR #38995:
URL: https://github.com/apache/arrow/pull/38995#issuecomment-1879694913
Note that this one didn't require doc changes.
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alamb commented on code in PR #8562:
URL: https://github.com/apache/arrow-datafusion/pull/8562#discussion_r1443768896
##
datafusion/common/src/scalar.rs:
##
@@ -2937,13 +3015,33 @@ impl fmt::Display for ScalarValue {
)?,
None => write!(f, "NULL"
ursabot commented on PR #39486:
URL: https://github.com/apache/arrow/pull/39486#issuecomment-1879664770
Benchmark runs are scheduled for commit
0529cce31a71d4c2f8236994efa94e7817b608aa. Watch
https://buildkite.com/apache-arrow and https://conbench.ursa.dev for updates. A
comment will be po
pitrou commented on PR #39486:
URL: https://github.com/apache/arrow/pull/39486#issuecomment-1879664678
@ursabot please benchmark
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conbench-apache-arrow[bot] commented on PR #39478:
URL: https://github.com/apache/arrow/pull/39478#issuecomment-1879658361
After merging your PR, Conbench analyzed the 6 benchmarking runs that have
been run so far on merge-commit 9b931af14e5a710cba0aaa6b899e2ca696bfd785.
There was 1 b
jayzhan211 commented on code in PR #8775:
URL: https://github.com/apache/arrow-datafusion/pull/8775#discussion_r1443729585
##
datafusion/sqllogictest/test_files/dictionary.slt:
##
@@ -148,7 +148,7 @@ select count(*) from m1 where tag_id = '1000' and time <
'2024-01-03T14:46:35+
jayzhan211 commented on code in PR #8775:
URL: https://github.com/apache/arrow-datafusion/pull/8775#discussion_r1443729585
##
datafusion/sqllogictest/test_files/dictionary.slt:
##
@@ -148,7 +148,7 @@ select count(*) from m1 where tag_id = '1000' and time <
'2024-01-03T14:46:35+
marvinlanhenke commented on issue #8723:
URL:
https://github.com/apache/arrow-datafusion/issues/8723#issuecomment-1879649792
> That might not be the right structure, but I am trying to give you the
flavor of what encapsulating the complexity might look like
@alamb
...thanks, this
marvinlanhenke commented on issue #7892:
URL:
https://github.com/apache/arrow-datafusion/issues/7892#issuecomment-1879646811
...while I was looking into: #8493 trying to understand how the
hive-partitioned writes are implemented I came across the same issue, having it
select the wrong colu
simonvandel commented on code in PR #8774:
URL: https://github.com/apache/arrow-datafusion/pull/8774#discussion_r1443708093
##
datafusion/sqllogictest/test_files/dictionary.slt:
##
@@ -149,7 +149,7 @@ select count(*) from m1 where tag_id = '1000' and time <
'2024-01-03T14:46:35
jayzhan211 commented on code in PR #8775:
URL: https://github.com/apache/arrow-datafusion/pull/8775#discussion_r1443700025
##
datafusion/common/src/hash_utils.rs:
##
@@ -214,22 +214,19 @@ fn hash_struct_array(
hashes_buffer: &mut [u64],
) -> Result<()> {
let nulls = a
jayzhan211 commented on code in PR #8775:
URL: https://github.com/apache/arrow-datafusion/pull/8775#discussion_r1443699399
##
datafusion/common/src/hash_utils.rs:
##
@@ -214,22 +214,19 @@ fn hash_struct_array(
hashes_buffer: &mut [u64],
) -> Result<()> {
let nulls = a
jayzhan211 opened a new pull request, #8775:
URL: https://github.com/apache/arrow-datafusion/pull/8775
## Which issue does this PR close?
Bug in https://github.com/apache/arrow-datafusion/pull/8552
## Rationale for this change
## What changes are included
haohuaijin commented on PR #8774:
URL:
https://github.com/apache/arrow-datafusion/pull/8774#issuecomment-1879639150
the root reason maybe in below code
https://github.com/apache/arrow-datafusion/blob/4e4059a68455fbc14f04902c76acbcd258b7f2ef/datafusion/optimizer/src/optimize_projections.r
haohuaijin commented on code in PR #8774:
URL: https://github.com/apache/arrow-datafusion/pull/8774#discussion_r1443691448
##
datafusion/sqllogictest/test_files/dictionary.slt:
##
@@ -149,7 +149,7 @@ select count(*) from m1 where tag_id = '1000' and time <
'2024-01-03T14:46:35+
haohuaijin opened a new pull request, #8774:
URL: https://github.com/apache/arrow-datafusion/pull/8774
## Which issue does this PR close?
Closes #8735
## Rationale for this change
when debug #8735, I find not only the case in #8735 don't push down, we have
other
simonvandel commented on code in PR #8772:
URL: https://github.com/apache/arrow-datafusion/pull/8772#discussion_r1443688129
##
datafusion/core/src/datasource/physical_plan/parquet/metrics.rs:
##
@@ -29,8 +29,10 @@ use crate::physical_plan::metrics::{
pub struct ParquetFileMetri
simonvandel commented on code in PR #8566:
URL: https://github.com/apache/arrow-datafusion/pull/8566#discussion_r1443687586
##
datafusion/common/src/functional_dependencies.rs:
##
@@ -97,8 +108,39 @@ impl Constraints {
Constraint::Unique(indices)
Jefffrey commented on PR #8728:
URL:
https://github.com/apache/arrow-datafusion/pull/8728#issuecomment-1879626485
win64 test ran in 33min
Still slightly slower than before (around 27min I believe)
cc @comphead @alamb
--
This is an automated message from the Apache Git Servi
kou commented on code in PR #39481:
URL: https://github.com/apache/arrow/pull/39481#discussion_r1443667391
##
cpp/src/arrow/filesystem/localfs.cc:
##
@@ -595,7 +595,7 @@ Status LocalFileSystem::Move(const std::string& src, const
std::string& dest) {
mapleFU commented on PR #39486:
URL: https://github.com/apache/arrow/pull/39486#issuecomment-1879602168
It's just a quick poc for ReadLevels optimization... I think exporting it is
so hacking, because `ReadLevels` is just "read levels in current page". So,
`HasNext` is called, and I only ma
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