suremarc commented on code in PR #7896:
URL: https://github.com/apache/arrow-datafusion/pull/7896#discussion_r1367839079
##
datafusion/core/src/datasource/file_format/write/demux.rs:
##
@@ -310,7 +311,37 @@ fn compute_partition_keys_by_row<'a>(
for i in 0..rb.nu
conbench-apache-arrow[bot] commented on PR #38269:
URL: https://github.com/apache/arrow/pull/38269#issuecomment-1773992952
After merging your PR, Conbench analyzed the 6 benchmarking runs that have
been run so far on merge-commit 23dfd0e8643799b803b286e88ca6253303ecb703.
There were no
haohuaijin closed issue #7894: Error when parsing numbers exceeding
`INT64::MAX` in a csv file
URL: https://github.com/apache/arrow-datafusion/issues/7894
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haohuaijin commented on issue #7894:
URL:
https://github.com/apache/arrow-datafusion/issues/7894#issuecomment-1773986136
duplicate #3174
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niyue commented on code in PR #38116:
URL: https://github.com/apache/arrow/pull/38116#discussion_r1367827763
##
cpp/src/gandiva/function_registry.cc:
##
@@ -16,18 +16,23 @@
// under the License.
#include "gandiva/function_registry.h"
+
+#include
+#include
+#include
+
+#in
jayzhan211 commented on issue #6981:
URL:
https://github.com/apache/arrow-datafusion/issues/6981#issuecomment-1773968815
> performing deduplication after would require to pattern match the internal
type of the array
We may not need pattern matching for Internal type of array. Type c
conbench-apache-arrow[bot] commented on PR #38248:
URL: https://github.com/apache/arrow/pull/38248#issuecomment-1773967091
After merging your PR, Conbench analyzed the 5 benchmarking runs that have
been run so far on merge-commit ea936e3506e5b408ff39a2ef762ab5fa7aba72ae.
There were no
scsmithr opened a new issue, #4972:
URL: https://github.com/apache/arrow-rs/issues/4972
**Describe the bug**
When using an azure object store configured with an invalid access key,
attempting to use the store will result in a panic.
**To Reproduce**
Example:
Tortar commented on issue #492:
URL: https://github.com/apache/arrow-julia/issues/492#issuecomment-1773954994
Reopening since even with this new information I couldn't get the code to
work on Windows in the test of Agents.jl and so...I got a new updated MWE:
```julia
using Arrow, D
conbench-apache-arrow[bot] commented on PR #38324:
URL: https://github.com/apache/arrow/pull/38324#issuecomment-1773940690
After merging your PR, Conbench analyzed the 5 benchmarking runs that have
been run so far on merge-commit 883a439076233f3f2836f281614ebe01601ccab9.
There were no
Dandandan opened a new issue, #7900:
URL: https://github.com/apache/arrow-datafusion/issues/7900
### Describe the bug
ScalarValue::new_list loses timestamp timezone info
### To Reproduce
_No response_
### Expected behavior
Keep timezone during creation of li
Dandandan opened a new pull request, #7899:
URL: https://github.com/apache/arrow-datafusion/pull/7899
## Which issue does this PR close?
Closes #.
## Rationale for this change
## What changes are included in this PR?
## Are these changes tes
Tortar commented on issue #492:
URL: https://github.com/apache/arrow-julia/issues/492#issuecomment-1773932723
All in all, I think this is probably a problem with DataFrames.jl
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Tortar commented on issue #492:
URL: https://github.com/apache/arrow-julia/issues/492#issuecomment-1773931920
ohh ok got it, the dataframe doesn't copy the content of the arrow table,
just steal the reference, if one tries:
```julia
julia> deleteat!(data_saved, 2)
ERROR: Argumen
Tortar commented on issue #492:
URL: https://github.com/apache/arrow-julia/issues/492#issuecomment-1773930779
ok strangely enough to me if you add `data_saved = nothing` the file can
gets removed without problems. This sounds strange to me since `data_saved` is
a `DataFrame` which even if c
paleolimbot commented on code in PR #38377:
URL: https://github.com/apache/arrow/pull/38377#discussion_r1367802343
##
r/R/dataset.R:
##
@@ -527,6 +527,9 @@ names.Dataset <- function(x) names(x$schema)
#' @export
dim.Dataset <- function(x) c(x$num_rows, x$num_cols)
+#' @expor
CurtHagenlocher commented on code in PR #1192:
URL: https://github.com/apache/arrow-adbc/pull/1192#discussion_r1367800438
##
csharp/test/Drivers/FlightSql/Apache.Arrow.Adbc.Tests.Drivers.FlightSql.csproj:
##
@@ -1,35 +1,26 @@
-
-
-net472;net6.0
-disable
-False
-
CurtHagenlocher commented on code in PR #1192:
URL: https://github.com/apache/arrow-adbc/pull/1192#discussion_r1367800297
##
csharp/src/Drivers/BigQuery/BigQueryStatement.cs:
##
@@ -0,0 +1,422 @@
+/*
+* Licensed to the Apache Software Foundation (ASF) under one or more
+* contri
CurtHagenlocher commented on code in PR #1192:
URL: https://github.com/apache/arrow-adbc/pull/1192#discussion_r1367800198
##
csharp/src/Drivers/BigQuery/BigQueryConnection.cs:
##
@@ -0,0 +1,980 @@
+/*
+* Licensed to the Apache Software Foundation (ASF) under one or more
+* contr
CurtHagenlocher commented on code in PR #1192:
URL: https://github.com/apache/arrow-adbc/pull/1192#discussion_r1367799398
##
csharp/src/Drivers/BigQuery/Apache.Arrow.Adbc.Drivers.BigQuery.csproj:
##
@@ -0,0 +1,15 @@
+
+
+netstandard2.0;net6.0
+
+
+
Review Comment:
kou commented on code in PR #38116:
URL: https://github.com/apache/arrow/pull/38116#discussion_r1367797582
##
cpp/src/gandiva/function_registry.cc:
##
@@ -16,18 +16,23 @@
// under the License.
#include "gandiva/function_registry.h"
+
+#include
+#include
+#include
+
+#incl
edmondop commented on code in PR #7897:
URL: https://github.com/apache/arrow-datafusion/pull/7897#discussion_r1367795554
##
datafusion/physical-expr/src/array_expressions.rs:
##
@@ -1478,6 +1478,28 @@ macro_rules! to_string {
}};
}
+
+/// Array_union SQL function
+pub fn
alamb commented on issue #2979:
URL:
https://github.com/apache/arrow-datafusion/issues/2979#issuecomment-1773913795
Thanks @waitingkuo -- no rush!
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alamb merged PR #7841:
URL: https://github.com/apache/arrow-datafusion/pull/7841
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alamb commented on PR #7841:
URL:
https://github.com/apache/arrow-datafusion/pull/7841#issuecomment-1773913740
LGTM -- thanks again @devinjdangelo
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alamb commented on code in PR #7841:
URL: https://github.com/apache/arrow-datafusion/pull/7841#discussion_r1367793562
##
datafusion/common/src/config.rs:
##
@@ -255,6 +255,12 @@ config_namespace! {
/// Number of files to read in parallel when inferring schema and
stati
alamb commented on issue #7882:
URL:
https://github.com/apache/arrow-datafusion/issues/7882#issuecomment-1773913221
> . I don't want to keep you waiting, but I think it will be easier to solve
these issues after I quickly finalize my PR and present it to you.
There is no particular t
alamb commented on code in PR #7885:
URL: https://github.com/apache/arrow-datafusion/pull/7885#discussion_r1367792837
##
datafusion/physical-expr/src/intervals/interval_aritmetic.rs:
##
@@ -1079,6 +1094,117 @@ mod tests {
Interval::make(lower, upper, (false, false))
alamb commented on code in PR #7885:
URL: https://github.com/apache/arrow-datafusion/pull/7885#discussion_r1367792837
##
datafusion/physical-expr/src/intervals/interval_aritmetic.rs:
##
@@ -1079,6 +1094,117 @@ mod tests {
Interval::make(lower, upper, (false, false))
alamb commented on code in PR #7884:
URL: https://github.com/apache/arrow-datafusion/pull/7884#discussion_r1367792605
##
datafusion/physical-expr/src/intervals/interval_aritmetic.rs:
##
@@ -1240,6 +1278,35 @@ mod tests {
Ok(())
}
+#[test]
+fn or_test() ->
alamb commented on code in PR #7884:
URL: https://github.com/apache/arrow-datafusion/pull/7884#discussion_r1367792536
##
datafusion/physical-expr/src/expressions/binary.rs:
##
@@ -344,8 +344,8 @@ impl PhysicalExpr for BinaryExpr {
let right_interval = children[1];
alamb commented on code in PR #7884:
URL: https://github.com/apache/arrow-datafusion/pull/7884#discussion_r1367792523
##
datafusion/physical-expr/src/intervals/interval_aritmetic.rs:
##
@@ -1240,6 +1270,32 @@ mod tests {
Ok(())
}
+#[test]
+fn or_test() ->
alamb commented on code in PR #7884:
URL: https://github.com/apache/arrow-datafusion/pull/7884#discussion_r1367792390
##
datafusion/physical-expr/src/expressions/binary.rs:
##
@@ -344,8 +344,8 @@ impl PhysicalExpr for BinaryExpr {
let right_interval = children[1];
alamb commented on issue #7887:
URL:
https://github.com/apache/arrow-datafusion/issues/7887#issuecomment-1773911548
> I am not sure this is what you searched for but there was an issue
https://github.com/apache/arrow-datafusion/issues/5535.
Thank you -- this is exactly what I was loo
conbench-apache-arrow[bot] commented on PR #38337:
URL: https://github.com/apache/arrow/pull/38337#issuecomment-1773910715
After merging your PR, Conbench analyzed the 5 benchmarking runs that have
been run so far on merge-commit 3cf96b39d04adfd4b9f2cf8ff762d8326312a129.
There were no
alamb opened a new pull request, #7898:
URL: https://github.com/apache/arrow-datafusion/pull/7898
## Which issue does this PR close?
This is a follow on to https://github.com/apache/arrow-datafusion/pull/7772
(❤️ ) by @Tangruilin
## Rationale for this change
I would
andygrove merged PR #525:
URL: https://github.com/apache/arrow-datafusion-python/pull/525
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alamb commented on PR #7772:
URL:
https://github.com/apache/arrow-datafusion/pull/7772#issuecomment-1773893623
BTW I am working on an extesion of this test to support multiple columns
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lidavidm commented on issue #1216:
URL: https://github.com/apache/arrow-adbc/issues/1216#issuecomment-1773888163
[Only on
main](https://github.com/apache/arrow-adbc/commit/4e0c25252923f5f4d827dc1cbfd9f84f0107e63a).
It will be in the next release (TBD, possibly early November)
--
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Tortar commented on issue #492:
URL: https://github.com/apache/arrow-julia/issues/492#issuecomment-1773881274
thanks anyway for the help @Moelf .
To be able to bisect the issue more easily I created this MWE:
```julia
using Arrow, DataFrames
function writer_arrow(file
comphead commented on code in PR #7897:
URL: https://github.com/apache/arrow-datafusion/pull/7897#discussion_r1367772395
##
datafusion/physical-expr/src/array_expressions.rs:
##
@@ -1478,6 +1478,28 @@ macro_rules! to_string {
}};
}
+
+/// Array_union SQL function
+pub fn
andygrove opened a new pull request, #525:
URL: https://github.com/apache/arrow-datafusion-python/pull/525
# Which issue does this PR close?
N/A
# Rationale for this change
We want to release update bindings for DataFusion 32
# What changes are include
andygrove merged PR #524:
URL: https://github.com/apache/arrow-datafusion-python/pull/524
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andygrove closed issue #520: Bindings for window functions
URL: https://github.com/apache/arrow-datafusion-python/issues/520
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andygrove merged PR #521:
URL: https://github.com/apache/arrow-datafusion-python/pull/521
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tustvold commented on PR #4968:
URL: https://github.com/apache/arrow-rs/pull/4968#issuecomment-1773867546
I think this isn't worth the downstream churn, but thank you for raising this
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tustvold closed pull request #4968: Not reexport RecordBatch twice
URL: https://github.com/apache/arrow-rs/pull/4968
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conbench-apache-arrow[bot] commented on PR #36595:
URL: https://github.com/apache/arrow/pull/36595#issuecomment-1773867627
After merging your PR, Conbench analyzed the 6 benchmarking runs that have
been run so far on merge-commit 63840f297df681e710a0b1a822235eca54f1c2fb.
There was 1 b
viirya commented on PR #7889:
URL:
https://github.com/apache/arrow-datafusion/pull/7889#issuecomment-1773851462
Thank you @Dandandan @alamb @comphead
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lewiszlw commented on PR #4968:
URL: https://github.com/apache/arrow-rs/pull/4968#issuecomment-1773844472
Understand, we might add deprecation info, but feel free to close this pr if
you don't think we need this.
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andygrove opened a new pull request, #524:
URL: https://github.com/apache/arrow-datafusion-python/pull/524
# Which issue does this PR close?
N/A
# Rationale for this change
I ran clippy locally with Rust 1.73 and this change was suggested.
# What chang
Weijun-H commented on issue #7894:
URL:
https://github.com/apache/arrow-datafusion/issues/7894#issuecomment-1773839508
This issue is caused by arrow-rs, not datafusion 🤔
https://github.com/apache/arrow-rs/blob/03d0505fc864c09e6dcd208d3cdddeecefb90345/arrow-csv/src/reader/mod.rs#L889-
andygrove commented on PR #521:
URL:
https://github.com/apache/arrow-datafusion-python/pull/521#issuecomment-1773837559
@dlovell fyi
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edmondop commented on issue #6981:
URL:
https://github.com/apache/arrow-datafusion/issues/6981#issuecomment-1773837359
@jayzhan211 I looked deeper in the code, it seems that:
- performing deduplication after would require to pattern match the internal
type of the array
- performing d
edmondop opened a new pull request, #7897:
URL: https://github.com/apache/arrow-datafusion/pull/7897
## Which issue does this PR close?
#6981
Closes #.
## Rationale for this change
Support additional array_union SQL keyword
## Are these changes tested?
andygrove commented on code in PR #521:
URL:
https://github.com/apache/arrow-datafusion-python/pull/521#discussion_r1367749996
##
src/expr/window.rs:
##
@@ -0,0 +1,297 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+// or more contributor license agreements.
pitrou commented on code in PR #38116:
URL: https://github.com/apache/arrow/pull/38116#discussion_r1367748106
##
cpp/src/gandiva/function_registry.cc:
##
@@ -16,18 +16,23 @@
// under the License.
#include "gandiva/function_registry.h"
+
+#include
+#include
+#include
+
+#i
devinjdangelo commented on code in PR #7896:
URL: https://github.com/apache/arrow-datafusion/pull/7896#discussion_r1367742418
##
datafusion/core/src/datasource/file_format/write/demux.rs:
##
@@ -310,7 +311,37 @@ fn compute_partition_keys_by_row<'a>(
for i in 0..
devinjdangelo commented on code in PR #7896:
URL: https://github.com/apache/arrow-datafusion/pull/7896#discussion_r1367741674
##
datafusion/core/src/datasource/file_format/write/demux.rs:
##
@@ -310,7 +311,37 @@ fn compute_partition_keys_by_row<'a>(
for i in 0..
devinjdangelo commented on code in PR #7896:
URL: https://github.com/apache/arrow-datafusion/pull/7896#discussion_r1367742418
##
datafusion/core/src/datasource/file_format/write/demux.rs:
##
@@ -310,7 +311,37 @@ fn compute_partition_keys_by_row<'a>(
for i in 0..
devinjdangelo commented on code in PR #7896:
URL: https://github.com/apache/arrow-datafusion/pull/7896#discussion_r1367742418
##
datafusion/core/src/datasource/file_format/write/demux.rs:
##
@@ -310,7 +311,37 @@ fn compute_partition_keys_by_row<'a>(
for i in 0..
devinjdangelo commented on code in PR #7896:
URL: https://github.com/apache/arrow-datafusion/pull/7896#discussion_r1367741674
##
datafusion/core/src/datasource/file_format/write/demux.rs:
##
@@ -310,7 +311,37 @@ fn compute_partition_keys_by_row<'a>(
for i in 0..
devinjdangelo commented on code in PR #7896:
URL: https://github.com/apache/arrow-datafusion/pull/7896#discussion_r1367741674
##
datafusion/core/src/datasource/file_format/write/demux.rs:
##
@@ -310,7 +311,37 @@ fn compute_partition_keys_by_row<'a>(
for i in 0..
devinjdangelo commented on issue #7892:
URL:
https://github.com/apache/arrow-datafusion/issues/7892#issuecomment-1773815266
@alamb I opened a PR (https://github.com/apache/arrow-datafusion/pull/7896)
which in my testing works correctly for your example case, but only in pure
rust. In data
devinjdangelo commented on issue #7891:
URL:
https://github.com/apache/arrow-datafusion/issues/7891#issuecomment-1773814667
Ok, I read the `arrow-rs` docs on dictionary array types, so I understand
what that means now... I took a stab at solving this in
https://github.com/apache/arrow-data
devinjdangelo opened a new pull request, #7896:
URL: https://github.com/apache/arrow-datafusion/pull/7896
## Which issue does this PR close?
Closes #7891
## Rationale for this change
The initial implementation of hive style partition demux code only supported
plain UTF8
jonahgao commented on issue #7876:
URL:
https://github.com/apache/arrow-datafusion/issues/7876#issuecomment-1773813625
@alamb @haohuaijin .
I think we can start with the projection plan first because:
- It should be relatively simple.
- It covers the case mentioned in this issue
jonahgao commented on issue #7876:
URL:
https://github.com/apache/arrow-datafusion/issues/7876#issuecomment-1773812088
@alamb Agreed.
I think we can start with the projection plan first because:
- It should be relatively simple.
- It covers the case mentioned in this issue, whe
berkaysynnada commented on code in PR #7885:
URL: https://github.com/apache/arrow-datafusion/pull/7885#discussion_r1367734649
##
datafusion/physical-expr/src/intervals/interval_aritmetic.rs:
##
@@ -1079,6 +1094,117 @@ mod tests {
Interval::make(lower, upper, (false, fal
haohuaijin commented on issue #7876:
URL:
https://github.com/apache/arrow-datafusion/issues/7876#issuecomment-1773811464
> Perhaps we can't push such predicate through Group or Join at all 🤔
When I use a subquery in place of the HAVING clause to meet the requirements
in the ticket,
berkaysynnada commented on issue #7882:
URL:
https://github.com/apache/arrow-datafusion/issues/7882#issuecomment-1773810387
> Thanks @berkaysynnada -- note I just proposed three relatively small
changes . Perhaps you have some time to look at them:
>
> * [Minor: Clarify Boolean `Inte
conbench-apache-arrow[bot] commented on PR #38314:
URL: https://github.com/apache/arrow/pull/38314#issuecomment-1773808722
After merging your PR, Conbench analyzed the 5 benchmarking runs that have
been run so far on merge-commit 0428c5ea35c78aff658fd5783a67ba4a6e90703e.
There were no
berkaysynnada commented on code in PR #7884:
URL: https://github.com/apache/arrow-datafusion/pull/7884#discussion_r1367737282
##
datafusion/physical-expr/src/expressions/binary.rs:
##
@@ -344,8 +344,8 @@ impl PhysicalExpr for BinaryExpr {
let right_interval = children[1
berkaysynnada commented on code in PR #7884:
URL: https://github.com/apache/arrow-datafusion/pull/7884#discussion_r1367736695
##
datafusion/physical-expr/src/intervals/interval_aritmetic.rs:
##
@@ -1240,6 +1270,32 @@ mod tests {
Ok(())
}
+#[test]
+fn or_t
berkaysynnada commented on code in PR #7885:
URL: https://github.com/apache/arrow-datafusion/pull/7885#discussion_r1367735130
##
datafusion/physical-expr/src/intervals/interval_aritmetic.rs:
##
@@ -1079,6 +1094,117 @@ mod tests {
Interval::make(lower, upper, (false, fal
berkaysynnada commented on code in PR #7885:
URL: https://github.com/apache/arrow-datafusion/pull/7885#discussion_r1367734649
##
datafusion/physical-expr/src/intervals/interval_aritmetic.rs:
##
@@ -1079,6 +1094,117 @@ mod tests {
Interval::make(lower, upper, (false, fal
CurtHagenlocher commented on code in PR #1192:
URL: https://github.com/apache/arrow-adbc/pull/1192#discussion_r1367734177
##
csharp/src/Drivers/BigQuery/BigQueryStatement.cs:
##
@@ -0,0 +1,394 @@
+/*
+* Licensed to the Apache Software Foundation (ASF) under one or more
+* contri
CurtHagenlocher commented on code in PR #1192:
URL: https://github.com/apache/arrow-adbc/pull/1192#discussion_r1367733275
##
csharp/src/Drivers/BigQuery/BigQueryStatement.cs:
##
@@ -0,0 +1,394 @@
+/*
+* Licensed to the Apache Software Foundation (ASF) under one or more
+* contri
CurtHagenlocher commented on code in PR #1192:
URL: https://github.com/apache/arrow-adbc/pull/1192#discussion_r1367732769
##
csharp/src/Drivers/BigQuery/BigQueryStatement.cs:
##
@@ -0,0 +1,422 @@
+/*
+* Licensed to the Apache Software Foundation (ASF) under one or more
+* contri
berkaysynnada commented on code in PR #7885:
URL: https://github.com/apache/arrow-datafusion/pull/7885#discussion_r1367732159
##
datafusion/physical-expr/src/intervals/interval_aritmetic.rs:
##
@@ -235,18 +247,16 @@ impl Display for Interval {
impl Interval {
/// Creates a
CurtHagenlocher commented on code in PR #1192:
URL: https://github.com/apache/arrow-adbc/pull/1192#discussion_r1367731304
##
csharp/src/Drivers/BigQuery/BigQueryStatement.cs:
##
@@ -0,0 +1,422 @@
+/*
+* Licensed to the Apache Software Foundation (ASF) under one or more
+* contri
nooberfsh commented on issue #4970:
URL: https://github.com/apache/arrow-rs/issues/4970#issuecomment-1773794055
Thanks for the quick confirmation and the extra information.
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nooberfsh closed issue #4970: Enable `bloom_filter` on
`parquet::arrow::ArrowWriter` increase file size by multiple times.
URL: https://github.com/apache/arrow-rs/issues/4970
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tustvold commented on code in PR #7890:
URL: https://github.com/apache/arrow-datafusion/pull/7890#discussion_r1367731053
##
datafusion/core/src/datasource/physical_plan/file_scan_config.rs:
##
@@ -101,7 +101,7 @@ pub struct FileScanConfig {
/// all records after filtering a
berkaysynnada commented on issue #7887:
URL:
https://github.com/apache/arrow-datafusion/issues/7887#issuecomment-1773792948
I am not sure this is what you searched for but there was an issue
https://github.com/apache/arrow-datafusion/issues/5535.
Actually, I have tried to apply cp_so
tustvold commented on PR #4971:
URL: https://github.com/apache/arrow-rs/pull/4971#issuecomment-1773791599
It would appear localstack doesn't return the ETag when it should, will
think about how best to handle this
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ahmedriza commented on PR #896:
URL: https://github.com/apache/arrow-ballista/pull/896#issuecomment-1773791070
Updated to_proto.rs where there were build failures due to deprecations from
the use of timestamp_nanos() which is now deprecated in chrono crate.
Replaced with timestamp_nan
devinjdangelo commented on issue #7891:
URL:
https://github.com/apache/arrow-datafusion/issues/7891#issuecomment-1773789915
Hm, I am a little confused why Datafusion is inferring the schema of UTF8
data as Dictionary(some int type, UTF8).
:thinking: will have to look into it. It does
tustvold commented on issue #4970:
URL: https://github.com/apache/arrow-rs/issues/4970#issuecomment-1773787778
Yes, the defaults are for a reasonably sized parquet file. You can tweak the
bloom filter generation with
https://docs.rs/parquet/latest/parquet/file/properties/struct.Write
tustvold opened a new pull request, #4971:
URL: https://github.com/apache/arrow-rs/pull/4971
# Which issue does this PR close?
Closes #4691
Closes #4608
# Rationale for this change
Some use-cases wish to interact with the multipart upload machinery
di
tustvold commented on issue #4969:
URL: https://github.com/apache/arrow-rs/issues/4969#issuecomment-1773782566
A DateTime is a point in time, whereas an interval is not, I'm not entirely
sure how this would work?
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ahmedriza commented on issue #895:
URL: https://github.com/apache/arrow-ballista/issues/895#issuecomment-1773782161
Updated `to_proto.rs` where there were build failures due to deprecations
from the use of `timestamp_nano()` which is now deprecated in `chrono` crate.
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davidhcoe commented on code in PR #1192:
URL: https://github.com/apache/arrow-adbc/pull/1192#discussion_r1367724442
##
csharp/src/Drivers/BigQuery/BigQueryStatement.cs:
##
@@ -0,0 +1,422 @@
+/*
+* Licensed to the Apache Software Foundation (ASF) under one or more
+* contributor
github-actions[bot] commented on PR #38383:
URL: https://github.com/apache/arrow/pull/38383#issuecomment-1773781617
:warning: GitHub issue #35785 **has been automatically assigned in GitHub**
to PR creator.
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davidhcoe commented on code in PR #1192:
URL: https://github.com/apache/arrow-adbc/pull/1192#discussion_r1367724442
##
csharp/src/Drivers/BigQuery/BigQueryStatement.cs:
##
@@ -0,0 +1,422 @@
+/*
+* Licensed to the Apache Software Foundation (ASF) under one or more
+* contributor
andygrove closed issue #518: Allow multiply input files for table
URL: https://github.com/apache/arrow-datafusion-python/issues/518
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andygrove merged PR #519:
URL: https://github.com/apache/arrow-datafusion-python/pull/519
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llama90 commented on PR #38383:
URL: https://github.com/apache/arrow/pull/38383#issuecomment-1773775211
There were policy considerations and a personal lack of understanding
regarding the code when it came to supporting `Null` types for `key` field
columns.
Therefore, although there
llama90 opened a new pull request, #38383:
URL: https://github.com/apache/arrow/pull/38383
### Rationale for this change
Supports join on null types for non-key columns.
* Issue raised: 35785
### What changes are included in this PR?
* Separated the
github-actions[bot] commented on PR #38383:
URL: https://github.com/apache/arrow/pull/38383#issuecomment-1773774303
:warning: GitHub issue #35785 **has been automatically assigned in GitHub**
to PR creator.
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