tustvold commented on PR #3139:
URL: https://github.com/apache/arrow-rs/pull/3139#issuecomment-1328191081
Apologies I misread your example, if the integer value was `1230` casting
would yield an integer value of `123`, with the same string value. Casting an
integer value of `123` with a cor
tustvold commented on issue #2986:
URL: https://github.com/apache/arrow-rs/issues/2986#issuecomment-1328190875
Not sure if this should be reopened or a new issue created, but
https://github.com/apache/arrow-rs/pull/3203 would suggest that truncation is
not properly checked yet
--
This is
rtpsw commented on code in PR #14485:
URL: https://github.com/apache/arrow/pull/14485#discussion_r1032883655
##
cpp/cmake_modules/ThirdpartyToolchain.cmake:
##
@@ -657,6 +657,13 @@ else()
"${THIRDPARTY_MIRROR_URL}/snappy-${ARROW_SNAPPY_BUILD_VERSION}.tar.gz")
endif
github-actions[bot] commented on PR #14742:
URL: https://github.com/apache/arrow/pull/14742#issuecomment-1328190383
:warning: Ticket **has not been started in JIRA**, please click 'Start
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github-actions[bot] commented on PR #14742:
URL: https://github.com/apache/arrow/pull/14742#issuecomment-1328190381
https://issues.apache.org/jira/browse/ARROW-10158
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wgtmac opened a new pull request, #14742:
URL: https://github.com/apache/arrow/pull/14742
This is the first step to support page index of parquet.
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westonpace merged PR #14735:
URL: https://github.com/apache/arrow/pull/14735
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liukun4515 commented on code in PR #4377:
URL: https://github.com/apache/arrow-datafusion/pull/4377#discussion_r1032860953
##
datafusion/core/tests/sql/joins.rs:
##
@@ -2211,8 +2211,6 @@ async fn null_aware_left_anti_join() -> Result<()> {
}
#[tokio::test]
-#[ignore = "Test
avantgardnerio commented on issue #3142:
URL: https://github.com/apache/arrow-rs/issues/3142#issuecomment-1328161372
Others might still find it useful, but I've convinced myself with how we are
planning to handle MVCC we'll need to make copies anyway, so the builder
approach is probably fin
jackwener commented on code in PR #4333:
URL: https://github.com/apache/arrow-datafusion/pull/4333#discussion_r1032798149
##
datafusion/core/tests/sql/joins.rs:
##
@@ -1635,16 +1635,16 @@ async fn reduce_left_join_3() -> Result<()> {
let expected = vec![
"E
liukun4515 commented on issue #4363:
URL:
https://github.com/apache/arrow-datafusion/issues/4363#issuecomment-1328158438
> I think it is also possible to extend the HashJoin implementation with the
new semantics rather than adding an entirely new physical join implementation
hash joi
liukun4515 closed issue #3442: support more data type in prune for cast/try_cast
URL: https://github.com/apache/arrow-datafusion/issues/3442
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liukun4515 commented on PR #4353:
URL:
https://github.com/apache/arrow-datafusion/pull/4353#issuecomment-1328154903
> @alamb @mingmwang @liukun4515 PTAL.
Thanks @ygf11 I will try to find time to review it for the next few days.
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viirya opened a new pull request, #3203:
URL: https://github.com/apache/arrow-rs/pull/3203
# Which issue does this PR close?
Closes #.
# Rationale for this change
Clarifying the question at
https://github.com/apache/arrow-rs/pull/3139#issuecomment-132794
liukun4515 commented on code in PR #4377:
URL: https://github.com/apache/arrow-datafusion/pull/4377#discussion_r1032854691
##
datafusion/core/src/physical_plan/joins/hash_join.rs:
##
@@ -1482,105 +1325,115 @@ impl HashJoinStream {
let visited_left_side = self.visited_
liukun4515 commented on PR #3139:
URL: https://github.com/apache/arrow-rs/pull/3139#issuecomment-1328150981
> 123
I am confused about this, if the data type is decimal(10,-2) and the 128-bit
integer is `123`, it represent the value of `12300`, and the value has been
changed after cas
comphead commented on PR #4385:
URL:
https://github.com/apache/arrow-datafusion/pull/4385#issuecomment-1328149457
@waitingkuo finally we can get back to #3997 resolution.
Please check the PR.
Now date_part supports second fraction, but its still not the same as in
PSQL like
``
comphead opened a new pull request, #4385:
URL: https://github.com/apache/arrow-datafusion/pull/4385
# Which issue does this PR close?
Closes #3997
# Rationale for this change
See #3997
# What changes are included in this PR?
Extending `date_part` to suppor
viirya commented on PR #3198:
URL: https://github.com/apache/arrow-rs/pull/3198#issuecomment-1328138638
> Perhaps this could be simplified by using try_for_each_valid_idx?
Tried with `try_for_each_valid_idx`, but the benchmarks look not good:
```
equal_nulls_512 time:
ursabot commented on PR #14671:
URL: https://github.com/apache/arrow/pull/14671#issuecomment-1328128102
Benchmark runs are scheduled for baseline =
8a9374134926d60483cdbf1c3060a88e5a3a5adc and contender =
c0b311ee83c6ef8d9cf43d9e67af1f5d61dbfdd5.
c0b311ee83c6ef8d9cf43d9e67af1f5d61dbfdd5 is
ursabot commented on PR #14715:
URL: https://github.com/apache/arrow/pull/14715#issuecomment-1328110941
Benchmark runs are scheduled for baseline =
2078af7c710d688c14313b9486b99c981550a7b7 and contender =
8a9374134926d60483cdbf1c3060a88e5a3a5adc.
8a9374134926d60483cdbf1c3060a88e5a3a5adc is
ursabot commented on PR #3200:
URL: https://github.com/apache/arrow-rs/pull/3200#issuecomment-1328110932
Benchmark runs are scheduled for baseline =
2ea47e436d59a576d58d895d5805de1f2fe4c399 and contender =
0ef18481bd44a08fe041aa23c7b97b0c4695a024.
0ef18481bd44a08fe041aa23c7b97b0c4695a024 i
ursabot commented on PR #3201:
URL: https://github.com/apache/arrow-rs/pull/3201#issuecomment-1328110930
Benchmark runs are scheduled for baseline =
0b12828ddc75112c92541c612e7a75e5dbe44081 and contender =
2ea47e436d59a576d58d895d5805de1f2fe4c399.
2ea47e436d59a576d58d895d5805de1f2fe4c399 i
tustvold merged PR #3200:
URL: https://github.com/apache/arrow-rs/pull/3200
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tustvold merged PR #3201:
URL: https://github.com/apache/arrow-rs/pull/3201
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ursabot commented on PR #4345:
URL:
https://github.com/apache/arrow-datafusion/pull/4345#issuecomment-1328106812
Benchmark runs are scheduled for baseline =
27ae14aeec840f404d5ebe44e341f5dbea4c6f63 and contender =
323fbb43a3359d59bd12daf6d2b38102b4671d6f.
323fbb43a3359d59bd12daf6d2b38102b
alamb merged PR #4345:
URL: https://github.com/apache/arrow-datafusion/pull/4345
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tustvold commented on issue #3199:
URL: https://github.com/apache/arrow-rs/issues/3199#issuecomment-1328102949
Perhaps we could modify
https://docs.rs/arrow-schema/27.0.0/arrow_schema/enum.DataType.html#method.equals_datatype
to not take account of nullability?
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viirya opened a new pull request, #3202:
URL: https://github.com/apache/arrow-rs/pull/3202
# Which issue does this PR close?
Part of https://github.com/apache/arrow-rs/issues/1975.
# Rationale for this change
https://github.com/apache/arrow-rs/pull/3197#i
tustvold commented on PR #3197:
URL: https://github.com/apache/arrow-rs/pull/3197#issuecomment-1328099017
That sounds good to me
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viirya commented on PR #3197:
URL: https://github.com/apache/arrow-rs/pull/3197#issuecomment-1328098768
> We don't seem to provide `eq_dict` or `gt_dict` instead this is hidden
within `eq_dyn`, perhaps we should do the same here?
I think it is because there are `like_dict_scalar`, `nl
isidentical commented on code in PR #83:
URL:
https://github.com/apache/arrow-datafusion-python/pull/83#discussion_r1032822354
##
dev/release/README.md:
##
@@ -19,18 +19,121 @@
# DataFusion Python Release Process
-This is a work-in-progress that will be updated as we work
isidentical commented on code in PR #83:
URL:
https://github.com/apache/arrow-datafusion-python/pull/83#discussion_r1032821785
##
dev/release/README.md:
##
@@ -19,18 +19,121 @@
# DataFusion Python Release Process
-This is a work-in-progress that will be updated as we work
andygrove closed pull request #3696: Stop skipping failing optimizer rules in
tests
URL: https://github.com/apache/arrow-datafusion/pull/3696
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ursabot commented on PR #14225:
URL: https://github.com/apache/arrow/pull/14225#issuecomment-1328091019
Benchmark runs are scheduled for baseline =
63f013cdb36d05f6f96a145aff3c6232470f2d02 and contender =
2078af7c710d688c14313b9486b99c981550a7b7.
2078af7c710d688c14313b9486b99c981550a7b7 is
isidentical commented on issue #82:
URL:
https://github.com/apache/arrow-datafusion-python/issues/82#issuecomment-1328088989
Pretty cool to hear, I'll try to verify the last release artifacts and go
through the release notes. Thanks so much for pushing this release, I think it
is going to
andygrove closed issue #82: Cannot install on Mac M1 from source tarball from
testpypi
URL: https://github.com/apache/arrow-datafusion-python/issues/82
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andygrove commented on issue #82:
URL:
https://github.com/apache/arrow-datafusion-python/issues/82#issuecomment-1328088816
Thanks @isidentical ... that fixed it, and I have included this in the
instructions in https://github.com/apache/arrow-datafusion-python/pull/83
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andygrove commented on PR #83:
URL:
https://github.com/apache/arrow-datafusion-python/pull/83#issuecomment-1328088674
@isidentical @francis-du fyi
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andygrove opened a new pull request, #83:
URL: https://github.com/apache/arrow-datafusion-python/pull/83
# Which issue does this PR close?
Closes #.
# Rationale for this change
# What changes are included in this PR?
# Are there any user-facing cha
isidentical commented on issue #82:
URL:
https://github.com/apache/arrow-datafusion-python/issues/82#issuecomment-1328086031
@andygrove just as a note (I didn't test it yet), but it might be worth to
give a shot at `--extra-index-url` flag which allows to install stuff from both
regular Py
isidentical commented on issue #82:
URL:
https://github.com/apache/arrow-datafusion-python/issues/82#issuecomment-1328085639
Will look into it in a couple of hours.
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andygrove commented on issue #82:
URL:
https://github.com/apache/arrow-datafusion-python/issues/82#issuecomment-1328084577
Perhaps it is because there is no recent version of `maturin` available in
testpypi?
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andygrove commented on issue #82:
URL:
https://github.com/apache/arrow-datafusion-python/issues/82#issuecomment-1328084456
@isidentical Any idea why this fails?
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andygrove opened a new issue, #82:
URL: https://github.com/apache/arrow-datafusion-python/issues/82
**Describe the bug**
```
pip3 install -i https://test.pypi.org/simple/ datafusion==0.7.0
Looking in indexes: https://test.pypi.org/simple/
Collecting datafusion==0.7.0
Using ca
kesavkolla commented on issue #212:
URL:
https://github.com/apache/arrow-datafusion/issues/212#issuecomment-1328082244
Yes really looking forward for this feature.
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U
andygrove opened a new issue, #81:
URL: https://github.com/apache/arrow-datafusion-python/issues/81
**Is your feature request related to a problem or challenge? Please describe
what you are trying to do.**
We do not currently build a Python source distribution that we can release
on PyPi
psvri commented on PR #3197:
URL: https://github.com/apache/arrow-rs/pull/3197#issuecomment-1328076197
Thanks @viirya for implementing the rest.
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andygrove merged PR #80:
URL: https://github.com/apache/arrow-datafusion-python/pull/80
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andygrove opened a new pull request, #80:
URL: https://github.com/apache/arrow-datafusion-python/pull/80
# Which issue does this PR close?
Part of https://github.com/apache/arrow-datafusion-python/issues/7
# Rationale for this change
I could not upload the wh
andygrove commented on issue #7:
URL:
https://github.com/apache/arrow-datafusion-python/issues/7#issuecomment-1328071856
I think the issue may be that in
https://github.com/apache/arrow-datafusion-python/commit/f0d565912cd1cb86e5f268ff41bf1118e9743690#diff-50c86b7ed8ac2cf95bd48334961bf0530c
andygrove commented on issue #7:
URL:
https://github.com/apache/arrow-datafusion-python/issues/7#issuecomment-1328070630
I am now trying to upload to testpypi using twine (based on the instructions
at https://packaging.python.org/en/latest/tutorials/packaging-projects/) but am
running into
jackwener commented on code in PR #4333:
URL: https://github.com/apache/arrow-datafusion/pull/4333#discussion_r1032798149
##
datafusion/core/tests/sql/joins.rs:
##
@@ -1635,16 +1635,16 @@ async fn reduce_left_join_3() -> Result<()> {
let expected = vec![
"E
jackwener commented on PR #4333:
URL:
https://github.com/apache/arrow-datafusion/pull/4333#issuecomment-1328068834
> The only thing I am concerned about is the regression in supporting limit
pushdown through subquery. Otherwise I think this PR could be merged.
regression is resolved
jackwener commented on PR #4384:
URL:
https://github.com/apache/arrow-datafusion/pull/4384#issuecomment-1328068334
wait for #4333 #4324
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jackwener opened a new pull request, #4384:
URL: https://github.com/apache/arrow-datafusion/pull/4384
# Which issue does this PR close?
Closes #4381 .
# Rationale for this change
# What changes are included in this PR?
# Are these changes te
ursabot commented on PR #14415:
URL: https://github.com/apache/arrow/pull/14415#issuecomment-1328068119
Benchmark runs are scheduled for baseline =
7276c359e8be9b16ce5f122b81ec0bb89417224c and contender =
63f013cdb36d05f6f96a145aff3c6232470f2d02.
63f013cdb36d05f6f96a145aff3c6232470f2d02 is
Ted-Jiang commented on PR #3828:
URL:
https://github.com/apache/arrow-datafusion/pull/3828#issuecomment-1328062248
> Specifically made the parquet files like this:
>
> ```
> RUSTFLAGS="-C target-cpu=native" cargo run --release --bin tpch -- convert
--input ~/tpch_data/data_SF1 --o
Ted-Jiang closed issue #3833: Support parquet page filtering for more types:
String, Binary(Decimal), Int96
URL: https://github.com/apache/arrow-datafusion/issues/3833
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Ted-Jiang commented on issue #3833:
URL:
https://github.com/apache/arrow-datafusion/issues/3833#issuecomment-1328061289
> Int96 appears to be the only unsupported type left
>
>
https://github.com/apache/arrow-datafusion/blob/ba73c8180ebd874614cabc33be8cbb0d1db52518/datafusion/core/sr
jackwener commented on code in PR #4333:
URL: https://github.com/apache/arrow-datafusion/pull/4333#discussion_r1032798149
##
datafusion/core/tests/sql/joins.rs:
##
@@ -1635,16 +1635,16 @@ async fn reduce_left_join_3() -> Result<()> {
let expected = vec![
"E
jackwener commented on code in PR #4333:
URL: https://github.com/apache/arrow-datafusion/pull/4333#discussion_r1032798149
##
datafusion/core/tests/sql/joins.rs:
##
@@ -1635,16 +1635,16 @@ async fn reduce_left_join_3() -> Result<()> {
let expected = vec![
"E
jackwener commented on code in PR #4333:
URL: https://github.com/apache/arrow-datafusion/pull/4333#discussion_r1032793752
##
datafusion/core/tests/sql/window.rs:
##
@@ -335,18 +335,19 @@ async fn window_expr_eliminate() -> Result<()> {
" Sort: d.b ASC NULLS LAST [b:Utf
jackwener opened a new issue, #4383:
URL: https://github.com/apache/arrow-datafusion/issues/4383
**Is your feature request related to a problem or challenge? Please describe
what you are trying to do.**
A clear and concise description of what the problem is. Ex. I'm always
frustrated whe
github-actions[bot] commented on PR #14741:
URL: https://github.com/apache/arrow/pull/14741#issuecomment-1328054167
https://issues.apache.org/jira/browse/ARROW-18106
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benibus opened a new pull request, #14741:
URL: https://github.com/apache/arrow/pull/14741
See: [ARROW-18106](https://issues.apache.org/jira/browse/ARROW-18106)
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jackwener commented on code in PR #4365:
URL: https://github.com/apache/arrow-datafusion/pull/4365#discussion_r1032786851
##
datafusion/optimizer/src/push_down_filter.rs:
##
@@ -403,94 +294,90 @@ fn extract_or_clause(expr: &Expr, schema_columns:
&HashSet) -> Option,
plan:
alamb commented on PR #3885:
URL:
https://github.com/apache/arrow-datafusion/pull/3885#issuecomment-1328050035
FWIW My plan for this PR is:
1. To leave any the current places to configure parquet settings per
ParquetExec as overrrides (`Option`)
2. Expose remaining options via `Confi
lidavidm commented on issue #73:
URL: https://github.com/apache/arrow-nanoarrow/issues/73#issuecomment-1328049318
I like your idea more than my original idea, it composes better. I suppose
for unions where type IDs != child indices, we can add a separate function
(taking `int8_t*` or someth
alamb commented on code in PR #4382:
URL: https://github.com/apache/arrow-datafusion/pull/4382#discussion_r1032789766
##
datafusion/core/src/execution/context.rs:
##
@@ -1844,55 +1836,52 @@ impl TaskContext {
aggregate_functions: HashMap>,
runtime: Arc,
)
alamb opened a new pull request, #4382:
URL: https://github.com/apache/arrow-datafusion/pull/4382
# Which issue does this PR close?
re https://github.com/apache/arrow-datafusion/issues/4349
# Rationale for this change
Step 1 of N in unraveling the gordian knot of datafusi
jackwener commented on code in PR #4333:
URL: https://github.com/apache/arrow-datafusion/pull/4333#discussion_r1032788324
##
datafusion/core/src/datasource/view.rs:
##
@@ -474,7 +474,8 @@ mod tests {
let formatted = arrow::util::pretty::pretty_format_batches(&plan)
jackwener commented on code in PR #4333:
URL: https://github.com/apache/arrow-datafusion/pull/4333#discussion_r1032788324
##
datafusion/core/src/datasource/view.rs:
##
@@ -474,7 +474,8 @@ mod tests {
let formatted = arrow::util::pretty::pretty_format_batches(&plan)
tustvold opened a new pull request, #3201:
URL: https://github.com/apache/arrow-rs/pull/3201
# Which issue does this PR close?
Part of #2594
# Rationale for this change
# What changes are included in this PR?
# Are there any user-facing ch
jackwener opened a new issue, #4381:
URL: https://github.com/apache/arrow-datafusion/issues/4381
**Is your feature request related to a problem or challenge? Please describe
what you are trying to do.**
After we use `subqueryAlias` to replace `alias in projection`, we can find
some optim
tustvold opened a new pull request, #3200:
URL: https://github.com/apache/arrow-rs/pull/3200
# Which issue does this PR close?
Closes #.
# Rationale for this change
This kernel doesn't appear to serve a meaningful purpose
# What changes are include
alamb commented on code in PR #4333:
URL: https://github.com/apache/arrow-datafusion/pull/4333#discussion_r1032786474
##
datafusion/core/src/datasource/view.rs:
##
@@ -474,7 +474,8 @@ mod tests {
let formatted = arrow::util::pretty::pretty_format_batches(&plan)
jackwener commented on code in PR #4365:
URL: https://github.com/apache/arrow-datafusion/pull/4365#discussion_r1032786851
##
datafusion/optimizer/src/push_down_filter.rs:
##
@@ -403,94 +294,90 @@ fn extract_or_clause(expr: &Expr, schema_columns:
&HashSet) -> Option,
plan:
ursabot commented on PR #3183:
URL: https://github.com/apache/arrow-rs/pull/3183#issuecomment-1328045681
Benchmark runs are scheduled for baseline =
befea02c2f277a95d1f80f00aa0e9591942bd723 and contender =
8c6e57960f92c0fad9982caba32f226e318313d9.
8c6e57960f92c0fad9982caba32f226e318313d9 i
ursabot commented on PR #3195:
URL: https://github.com/apache/arrow-rs/pull/3195#issuecomment-1328045682
Benchmark runs are scheduled for baseline =
8c6e57960f92c0fad9982caba32f226e318313d9 and contender =
0b12828ddc75112c92541c612e7a75e5dbe44081.
0b12828ddc75112c92541c612e7a75e5dbe44081 i
ursabot commented on PR #3188:
URL: https://github.com/apache/arrow-rs/pull/3188#issuecomment-1328045677
Benchmark runs are scheduled for baseline =
fd08c31a2cd37342d261f67e999b2be2d5a4ba6b and contender =
befea02c2f277a95d1f80f00aa0e9591942bd723.
befea02c2f277a95d1f80f00aa0e9591942bd723 i
tustvold merged PR #3195:
URL: https://github.com/apache/arrow-rs/pull/3195
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tustvold closed issue #1168: Duration array values cannot be pretty printed
URL: https://github.com/apache/arrow-rs/issues/1168
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tustvold merged PR #3183:
URL: https://github.com/apache/arrow-rs/pull/3183
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tustvold commented on code in PR #3183:
URL: https://github.com/apache/arrow-rs/pull/3183#discussion_r1032786484
##
arrow-cast/src/display.rs:
##
@@ -549,3 +553,34 @@ pub fn lexical_to_string(n: N)
-> String {
String::from_utf8_unchecked(buf)
}
}
+
+#[cfg(test)]
jackwener commented on code in PR #4365:
URL: https://github.com/apache/arrow-datafusion/pull/4365#discussion_r1032786229
##
datafusion/optimizer/src/push_down_filter.rs:
##
@@ -403,94 +294,90 @@ fn extract_or_clause(expr: &Expr, schema_columns:
&HashSet) -> Option,
plan:
tustvold commented on PR #3188:
URL: https://github.com/apache/arrow-rs/pull/3188#issuecomment-1328044645
Thank you :+1:
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tustvold merged PR #3188:
URL: https://github.com/apache/arrow-rs/pull/3188
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tustvold closed issue #3136: arrow to and from pyarrow conversion results in
changes in schema
URL: https://github.com/apache/arrow-rs/issues/3136
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jackwener commented on code in PR #4365:
URL: https://github.com/apache/arrow-datafusion/pull/4365#discussion_r1032786229
##
datafusion/optimizer/src/push_down_filter.rs:
##
@@ -403,94 +294,90 @@ fn extract_or_clause(expr: &Expr, schema_columns:
&HashSet) -> Option,
plan:
alamb commented on code in PR #4357:
URL: https://github.com/apache/arrow-datafusion/pull/4357#discussion_r1032786084
##
datafusion/expr/src/expr_fn.rs:
##
@@ -345,136 +332,181 @@ macro_rules! nary_scalar_expr {
// generate methods for creating the supported unary/binary expres
ursabot commented on PR #14709:
URL: https://github.com/apache/arrow/pull/14709#issuecomment-1328044359
Benchmark runs are scheduled for baseline =
405b54ee3533f3db5099ce24d0864d34ba5a3b78 and contender =
7276c359e8be9b16ce5f122b81ec0bb89417224c.
7276c359e8be9b16ce5f122b81ec0bb89417224c is
ursabot commented on PR #4373:
URL:
https://github.com/apache/arrow-datafusion/pull/4373#issuecomment-1328044350
Benchmark runs are scheduled for baseline =
3b7f76714c72a0488f141d2869ada737e0a0df39 and contender =
27ae14aeec840f404d5ebe44e341f5dbea4c6f63.
27ae14aeec840f404d5ebe44e341f5dbe
DataPsycho commented on code in PR #4360:
URL: https://github.com/apache/arrow-datafusion/pull/4360#discussion_r1032785785
##
datafusion-examples/examples/dataframe.rs:
##
@@ -41,3 +44,47 @@ async fn main() -> Result<()> {
Ok(())
}
+
+// Example to read data from a csv f
doki23 commented on PR #3188:
URL: https://github.com/apache/arrow-rs/pull/3188#issuecomment-1328044032
Great! 👍🏻
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alamb commented on code in PR #4373:
URL: https://github.com/apache/arrow-datafusion/pull/4373#discussion_r1032785613
##
datafusion/sql/src/planner.rs:
##
@@ -767,7 +767,8 @@ impl<'a, S: ContextProvider> SqlToRel<'a, S> {
let join_filter = filter.into_iter().red
alamb merged PR #4373:
URL: https://github.com/apache/arrow-datafusion/pull/4373
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alamb closed issue #4362: HashJoin should return Err when the right side input
stream produce Err
URL: https://github.com/apache/arrow-datafusion/issues/4362
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jackwener commented on PR #4377:
URL:
https://github.com/apache/arrow-datafusion/pull/4377#issuecomment-1328043453
I will review this PR carefully tomorrow, thanks @liukun4515
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alamb commented on issue #4363:
URL:
https://github.com/apache/arrow-datafusion/issues/4363#issuecomment-1328043376
I think it is also possible to extend the HashJoin implementation with the
new semantics rather than adding an entirely new physical join implementation
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