ashdnazg commented on code in PR #15924:
URL: https://github.com/apache/datafusion/pull/15924#discussion_r2077195109
##
datafusion/common/src/scalar/mod.rs:
##
@@ -3415,6 +3415,100 @@ impl ScalarValue {
.map(|sv| sv.size() - size_of_val(sv))
.su
ashdnazg commented on code in PR #15924:
URL: https://github.com/apache/datafusion/pull/15924#discussion_r2077189430
##
datafusion/functions-aggregate/src/min_max.rs:
##
@@ -645,19 +645,29 @@ fn min_max_batch_struct(array: &ArrayRef, ordering:
Ordering) -> Result {{
if
Chen-Yuan-Lai commented on code in PR #15946:
URL: https://github.com/apache/datafusion/pull/15946#discussion_r2077245042
##
datafusion/common/src/error.rs:
##
@@ -808,12 +808,18 @@ make_error!(plan_err, plan_datafusion_err, Plan);
// Exposes a macro to create `DataFusionError:
GitHub user alamb added a comment to the discussion: DISCUSSION: Anyone around
for the Databricks Data & AI Summit in San Francisco June 9–12 2025
BTW we have planned a meetup for June 9, 2025 in San Francisco. Signup link is
here: https://lu.ma/uuxd443e
GitHub link:
https://github.com/apach
irenjj opened a new pull request, #15972:
URL: https://github.com/apache/datafusion/pull/15972
## Which issue does this PR close?
- Closes #13471
## Rationale for this change
## What changes are included in this PR?
## Are these changes test
andygrove commented on PR #1706:
URL:
https://github.com/apache/datafusion-comet/pull/1706#issuecomment-2858740190
I moved this to draft because it is still quite experimental. I am now
working on adding tracing for JVM off-heap usage in
`CometUnifiedShuffleMemoryAllocator` and `CometTaskM
adriangb commented on issue #15173:
URL: https://github.com/apache/datafusion/issues/15173#issuecomment-2858707706
I'll point out that I was testing DuckDB and they have this very nice
feature:
```
D select filename, sum(row_count) as row_count from
read_parquet('/Users/adriangb/D
robert3005 opened a new pull request, #15977:
URL: https://github.com/apache/datafusion/pull/15977
## Which issue does this PR close?
- Closes #.
## Rationale for this change
## What changes are included in this PR?
## Are these changes test
UBarney commented on code in PR #15876:
URL: https://github.com/apache/datafusion/pull/15876#discussion_r2077729484
##
datafusion/expr/src/logical_plan/builder.rs:
##
@@ -797,26 +807,146 @@ impl LogicalPlanBuilder {
}
// remove pushed down sort columns
-
adriangb commented on issue #15582:
URL: https://github.com/apache/datafusion/issues/15582#issuecomment-2858701825
I'll mention that we now avoid reading metadata entirely for a lot of
queries using an approach along the lines of
https://github.com/apache/datafusion/issues/15585
--
This
robert3005 commented on PR #15977:
URL: https://github.com/apache/datafusion/pull/15977#issuecomment-2858755012
The file on this branch can be used for parquet testing to reproduce the
issue. Looks like it should go to https://github.com/apache/parquet-testing
--
This is an automated mess
mbutrovich commented on PR #1702:
URL:
https://github.com/apache/datafusion-comet/pull/1702#issuecomment-2858775592
Not the end of the world, but this introduces warnings on macOS when using
jemalloc:
```
| use tikv_jemalloc_ctl::{epoch, stats};
| ^ ^^^
parthchandra commented on code in PR #1693:
URL: https://github.com/apache/datafusion-comet/pull/1693#discussion_r2078146339
##
spark/src/main/spark-3.4/org/apache/comet/shims/ShimCometBroadcastExchangeExec.scala:
##
@@ -0,0 +1,49 @@
+/*
+ * Licensed to the Apache Software Found
github-actions[bot] closed pull request #14749: Make Expr::alias and
alias_qualified smarter by calling unalias
URL: https://github.com/apache/datafusion/pull/14749
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goldmedal commented on PR #15965:
URL: https://github.com/apache/datafusion/pull/15965#issuecomment-2861534893
Thanks @alamb
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2010YOUY01 commented on PR #15256:
URL: https://github.com/apache/datafusion/pull/15256#issuecomment-2861663728
> Basically my opinion here is that the few times I tried to review the
codecov reports, I found them useless. Maybe it has gotten better since they
were originally
>
> Whe
huaxingao opened a new pull request, #1723:
URL: https://github.com/apache/datafusion-comet/pull/1723
## Which issue does this PR close?
We original have CometConf.COMET_SCHEMA_EVOLUTION_ENABLED to set schema
evolution to true in Scan rule if the scan is Iceberg table scan. However, i
TheBuilderJR commented on PR #15295:
URL: https://github.com/apache/datafusion/pull/15295#issuecomment-2861173475
@kosiew so I think the tricky part is that there are actually multiple
evolutions.
Basically my code currenty looks like this
```
let con
codecov-commenter commented on PR #1722:
URL:
https://github.com/apache/datafusion-comet/pull/1722#issuecomment-2861237379
##
[Codecov](https://app.codecov.io/gh/apache/datafusion-comet/pull/1722?dropdown=coverage&src=pr&el=h1&utm_medium=referral&utm_source=github&utm_content=comment&utm_ca
andygrove commented on code in PR #15958:
URL: https://github.com/apache/datafusion/pull/15958#discussion_r2078769590
##
datafusion/spark/src/function/math/ceil_floor.rs:
##
@@ -0,0 +1,720 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+// or more contributor
andygrove commented on code in PR #15958:
URL: https://github.com/apache/datafusion/pull/15958#discussion_r2078772494
##
datafusion/spark/src/function/math/ceil_floor.rs:
##
@@ -0,0 +1,720 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+// or more contributor
irenjj commented on code in PR #15958:
URL: https://github.com/apache/datafusion/pull/15958#discussion_r2078862746
##
datafusion/spark/src/function/math/ceil_floor.rs:
##
@@ -0,0 +1,720 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+// or more contributor lic
GitHub user pepijnve edited a discussion: Multiple 'group by's, one scan
In the system I'm working on I want to perform multiple aggregates using
different group by criteria over large data sets.
I don't think grouping sets are an option since those support computing a
single set of aggregates
kazuyukitanimura commented on code in PR #1602:
URL: https://github.com/apache/datafusion-comet/pull/1602#discussion_r2078943165
##
native/spark-expr/src/bitwise_funcs/bitwise_count.rs:
##
@@ -0,0 +1,177 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+// or mo
andygrove opened a new issue, #1718:
URL: https://github.com/apache/datafusion-comet/issues/1718
### What is the problem the feature request solves?
This epic is to track observability work to make it easier to monitor and
debug issues with Comet in a distributed environment, such as
andygrove commented on code in PR #1706:
URL: https://github.com/apache/datafusion-comet/pull/1706#discussion_r2077706523
##
native/core/src/execution/tracing.rs:
##
@@ -0,0 +1,111 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+// or more contributor license
miroim opened a new pull request, #15973:
URL: https://github.com/apache/datafusion/pull/15973
## Which issue does this PR close?
Part of #15950 .
## Rationale for this change
Remove deprecated `ParquetExec` and `ParquetExecBuilder`
## What changes are inc
Dandandan commented on PR #15963:
URL: https://github.com/apache/datafusion/pull/15963#issuecomment-2857791560
I think it makes sense to run some benchmarks again since also jemalloc has
implemented some optimizations over time.
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2010YOUY01 commented on issue #15607:
URL: https://github.com/apache/datafusion/issues/15607#issuecomment-2857786990
> [@Dandandan](https://github.com/Dandandan) I've reviewed the current
implementation of window functions in DataFusion and studied some related
concepts. This DuckDB blog po
Dandandan commented on issue #15607:
URL: https://github.com/apache/datafusion/issues/15607#issuecomment-2857839305
My idea for the scope of this issue wasn't to support arbitrary expressions
in the window frames / implement`Segment Tree`, but rather vectorize the
existing implementation -
kosiew opened a new pull request, #15295:
URL: https://github.com/apache/datafusion/pull/15295
## Which issue does this PR close?
- Closes #14757.
## Rationale for this change
[arrow-rs suggests that SchemaAdapter is better approach for handling
evolving
struct](https:/
berkaysynnada merged PR #15971:
URL: https://github.com/apache/datafusion/pull/15971
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andygrove commented on PR #1706:
URL:
https://github.com/apache/datafusion-comet/pull/1706#issuecomment-2859201881
I can now see the off-heap memory being used by `CometUnsafeShuffleWriter`,
which was 4GB in this case (500MB per concurrent task).
 {
END\
";
let _ = ms().verified_stmt(create_functi
kczimm opened a new pull request, #15980:
URL: https://github.com/apache/datafusion/pull/15980
## Which issue does this PR close?
- Closes https://github.com/apache/datafusion/issues/15978
- Closes https://github.com/apache/datafusion/issues/15979
## Rationale for thi
aharpervc opened a new pull request, #1843:
URL: https://github.com/apache/datafusion-sqlparser-rs/pull/1843
Note: this PR is temporarily rebased on
https://github.com/apache/datafusion-sqlparser-rs/pull/1834 before that is
merged
---
This PR introduces support for parsing SQL
chenkovsky commented on code in PR #15924:
URL: https://github.com/apache/datafusion/pull/15924#discussion_r2077187981
##
datafusion/common/src/scalar/mod.rs:
##
@@ -3415,6 +3415,100 @@ impl ScalarValue {
.map(|sv| sv.size() - size_of_val(sv))
.
ashdnazg commented on PR #15924:
URL: https://github.com/apache/datafusion/pull/15924#issuecomment-2857822728
@alamb @chenkovsky
I pushed a version that uses `copy_array_data` to make sure `take` isn't
doing anything funny (looking at the code, at the moment it doesn't, but the
docs pro
adriangb opened a new pull request, #15974:
URL: https://github.com/apache/datafusion/pull/15974
Followup to #15971. I forgot to re-export it 🤦🏻 .
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berkaysynnada merged PR #15974:
URL: https://github.com/apache/datafusion/pull/15974
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freshtonic opened a new pull request, #1842:
URL: https://github.com/apache/datafusion-sqlparser-rs/pull/1842
In sqlparser PR #963 a check was introduced which limits which operators can
be used with `ANY` and `ALL` expressions.
Postgres can parse more (possibly _all_ binary operators
jdrouet closed pull request #15975: feat: create builder for disk manager
URL: https://github.com/apache/datafusion/pull/15975
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T
freshtonic commented on issue #1841:
URL:
https://github.com/apache/datafusion-sqlparser-rs/issues/1841#issuecomment-2858434626
Now with PR: #1842
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jdrouet opened a new pull request, #15975:
URL: https://github.com/apache/datafusion/pull/15975
## Which issue does this PR close?
- Closes #.
## Rationale for this change
## What changes are included in this PR?
## Are these changes tested?
GitHub user phillipleblanc edited a discussion: DISCUSSION: Anyone around for
the Databricks Data & AI Summit in San Francisco June 9–12 2025
I'll be traveling to San Francisco to attend the Databricks Data & AI Summit in
San Francisco this June.
I can't commit to hosting a full meetup, but i
ctsk opened a new pull request, #15981:
URL: https://github.com/apache/datafusion/pull/15981
## Which issue does this PR close?
Helps https://github.com/apache/datafusion/issues/6822 a bit.
## Rationale for this change
Before this PR, hash partitioning worked roughly like
qstommyshu commented on PR #15945:
URL: https://github.com/apache/datafusion/pull/15945#issuecomment-2859773824
> I wonder if we are actually done now (❤️ thanks again @qstommyshu )
Not yet 😅. I just checked, there are at least 5 files in optimizer tests
still needs to be migrated.
Dandandan commented on PR #15981:
URL: https://github.com/apache/datafusion/pull/15981#issuecomment-2859776487
Nice, that seems like a great result!
i think the main improvement seems to be after this would be using the
`take_in` API you proposed in arrow-rs (mainly to avoid `concat`)
alamb commented on PR #15945:
URL: https://github.com/apache/datafusion/pull/15945#issuecomment-2859832899
> > I wonder if we are actually done now (❤️ thanks again @qstommyshu )
>
> Not yet 😅. I just checked, there are at least 5 files in optimizer tests
still needs to be migrated.
aharpervc commented on PR #1843:
URL:
https://github.com/apache/datafusion-sqlparser-rs/pull/1843#issuecomment-2859830502
Keeping this in draft at the moment to work out the "compile-no-std" ci job,
and possibly some more test cases. However, anyone feel free to post a
review/thoughts
--
huaxingao commented on code in PR #1715:
URL: https://github.com/apache/datafusion-comet/pull/1715#discussion_r2078282350
##
.github/workflows/iceberg_spark_test_native_datafusion.yml:
##
@@ -0,0 +1,80 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more c
mbutrovich opened a new issue, #1719:
URL: https://github.com/apache/datafusion-comet/issues/1719
### What is the problem the feature request solves?
The native_datafusion Parquet scan does not support bucketed scan, and fails
most of the tests in Spark's BucketedReadSuite without a f
mbutrovich opened a new pull request, #1720:
URL: https://github.com/apache/datafusion-comet/pull/1720
## Which issue does this PR close?
Closes #.
## Rationale for this change
See https://github.com/apache/datafusion-comet/issues/1719
## What chang
ashdnazg commented on code in PR #15924:
URL: https://github.com/apache/datafusion/pull/15924#discussion_r2077195109
##
datafusion/common/src/scalar/mod.rs:
##
@@ -3415,6 +3415,100 @@ impl ScalarValue {
.map(|sv| sv.size() - size_of_val(sv))
.su
adriangb commented on code in PR #15865:
URL: https://github.com/apache/datafusion/pull/15865#discussion_r2077215405
##
datafusion/datasource/src/schema_adapter.rs:
##
@@ -334,4 +340,126 @@ impl SchemaMapper for SchemaMapping {
let record_batch = RecordBatch::try_new_wi
adriangb opened a new pull request, #15971:
URL: https://github.com/apache/datafusion/pull/15971
I changed this from `pub fn` to pub(crate) fn` in
https://github.com/apache/datafusion/pull/15769 because it was no longer being
used outside of the crate.
However then I went to update o
suibianwanwank commented on issue #15607:
URL: https://github.com/apache/datafusion/issues/15607#issuecomment-2858132562
Sorry for mixing up the two issues and causing some confusion. I agree that
vectorizing the current implementation and supporting expr in frame are
orthogonal.
--
This
kosiew commented on PR #15295:
URL: https://github.com/apache/datafusion/pull/15295#issuecomment-2857995748
hi @TheBuilderJR ,
In the [2 schemas you
quoted](https://github.com/apache/datafusion/pull/15295#issuecomment-2851094063),
there are:
1. file_schema (from the parquet files)
ashdnazg commented on code in PR #15924:
URL: https://github.com/apache/datafusion/pull/15924#discussion_r2077160318
##
datafusion/common/src/scalar/mod.rs:
##
@@ -3415,6 +3415,100 @@ impl ScalarValue {
.map(|sv| sv.size() - size_of_val(sv))
.su
ashdnazg commented on code in PR #15924:
URL: https://github.com/apache/datafusion/pull/15924#discussion_r2077195109
##
datafusion/common/src/scalar/mod.rs:
##
@@ -3415,6 +3415,100 @@ impl ScalarValue {
.map(|sv| sv.size() - size_of_val(sv))
.su
getChan commented on code in PR #15948:
URL: https://github.com/apache/datafusion/pull/15948#discussion_r2077971001
##
datafusion/physical-plan/benches/sort_merge_join.rs:
##
@@ -0,0 +1,117 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+// or more contributor
getChan commented on code in PR #15948:
URL: https://github.com/apache/datafusion/pull/15948#discussion_r2077971001
##
datafusion/physical-plan/benches/sort_merge_join.rs:
##
@@ -0,0 +1,117 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+// or more contributor
getChan commented on code in PR #15948:
URL: https://github.com/apache/datafusion/pull/15948#discussion_r2077984399
##
datafusion/physical-plan/benches/sort_merge_join.rs:
##
@@ -0,0 +1,117 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+// or more contributor
ctsk commented on PR #15981:
URL: https://github.com/apache/datafusion/pull/15981#issuecomment-2859158487
Another tried-and-true strategy for this kind of problem is to partition in
multiple stages: Instead of having a "wide" fanout partitioning to, for
instance 256 partitions, it is prefer
alamb merged PR #15945:
URL: https://github.com/apache/datafusion/pull/15945
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alamb commented on PR #15945:
URL: https://github.com/apache/datafusion/pull/15945#issuecomment-2858885708
I wonder if we are actually done now (❤️ thanks again @qstommyshu )
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kczimm opened a new issue, #15979:
URL: https://github.com/apache/datafusion/issues/15979
### Describe the bug
Parameterized queries with placeholders before `IN ` are not
inferred. For example,
```sql
SELECT * FROM my_table WHERE $1 IN (SELECT A FROM my_table WHERE B > 3);
acking-you commented on issue #15720:
URL: https://github.com/apache/datafusion/issues/15720#issuecomment-2859288602
After implementing reuse Rows, it was found that there was no improvement in
the overall execution of `SortPreservingMergeExec`. @Dandandan
Therefore, I measured the r
Dandandan commented on PR #15981:
URL: https://github.com/apache/datafusion/pull/15981#issuecomment-2859289524
nice, could you share some perf numbers of this approach?
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hsiang-c commented on code in PR #1715:
URL: https://github.com/apache/datafusion-comet/pull/1715#discussion_r2078058620
##
dev/diffs/iceberg/1.8.1.diff:
##
@@ -0,0 +1,179 @@
+diff --git a/spark/v3.4/build.gradle b/spark/v3.4/build.gradle
+index 6eb26e8..90d848d 100644
+--- a/sp
xudong963 commented on PR #15954:
URL: https://github.com/apache/datafusion/pull/15954#issuecomment-2858784424
@UBarney Thank you, I'll review it in two days
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criccomini opened a new issue, #15983:
URL: https://github.com/apache/datafusion/issues/15983
### Is your feature request related to a problem or challenge?
I'm working with the `object_store` folks on upstreaming DataFusion's
[`ObjectStoreRegistry`](https://docs.rs/datafusion/latest/
aharpervc commented on code in PR #1834:
URL:
https://github.com/apache/datafusion-sqlparser-rs/pull/1834#discussion_r2078041514
##
tests/sqlparser_mssql.rs:
##
@@ -100,48 +100,52 @@ fn parse_mssql_delimited_identifiers() {
#[test]
fn parse_create_procedure() {
-let sql
mvzink commented on issue #1841:
URL:
https://github.com/apache/datafusion-sqlparser-rs/issues/1841#issuecomment-2859241001
Note that there are some other things Postgres supports for `ANY`/`ALL`
which our current parsing approach doesn't; e.g. it treats `LIKE` as a valid
operator in that
robert3005 opened a new issue, #15976:
URL: https://github.com/apache/datafusion/issues/15976
### Describe the bug
When reading parquet files with truncated stats datafusion will report the
min/max as exact even though metadata in the file indicates that min/max has
been truncated
ctsk commented on PR #15981:
URL: https://github.com/apache/datafusion/pull/15981#issuecomment-2859359952
I've ran clickbench_partitioned and tpch_mem10 - on a machine with 16 cores.
The clickbench results are pretty much the same, tpch_mem10 ran significantly
faster.
data
Dandandan commented on issue #15720:
URL: https://github.com/apache/datafusion/issues/15720#issuecomment-2859376503
Interesting @acking-you, do you have some code/branch you could share?
I wonder if you tried out using `RowConverter::append` (e.g. clear + append)
https://docs.rs/a
acking-you commented on issue #15720:
URL: https://github.com/apache/datafusion/issues/15720#issuecomment-2859387925
> Interesting @acking-you, do you have some code/branch you could share?
is here:
https://github.com/acking-you/arrow-datafusion/commit/f020522eab82f1ff8a7b42b97b1c9
parthchandra commented on code in PR #1706:
URL: https://github.com/apache/datafusion-comet/pull/1706#discussion_r2078115426
##
native/core/src/execution/tracing.rs:
##
@@ -0,0 +1,111 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+// or more contributor licen
kczimm opened a new issue, #15978:
URL: https://github.com/apache/datafusion/issues/15978
### Describe the bug
When using a parameterized query with a placeholder indicating the value in
the `LIMIT` clause, the datatype is not inferred.
### To Reproduce
```rust
let sc
andygrove opened a new pull request, #1722:
URL: https://github.com/apache/datafusion-comet/pull/1722
## Which issue does this PR close?
Part of https://github.com/apache/datafusion-comet/issues/1718
## Rationale for this change
Experimenting with supporti
andygrove commented on code in PR #15958:
URL: https://github.com/apache/datafusion/pull/15958#discussion_r2078773309
##
datafusion/spark/src/function/math/ceil_floor.rs:
##
@@ -0,0 +1,720 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+// or more contributor
github-actions[bot] commented on PR #14590:
URL: https://github.com/apache/datafusion/pull/14590#issuecomment-2861252887
Thank you for your contribution. Unfortunately, this pull request is stale
because it has been open 60 days with no activity. Please remove the stale
label or comment or
github-actions[bot] commented on PR #14922:
URL: https://github.com/apache/datafusion/pull/14922#issuecomment-2861252728
Thank you for your contribution. Unfortunately, this pull request is stale
because it has been open 60 days with no activity. Please remove the stale
label or comment or
github-actions[bot] closed pull request #14767: [wip] attach diagnostic to
duplicate table name error
URL: https://github.com/apache/datafusion/pull/14767
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wForget commented on issue #1574:
URL:
https://github.com/apache/datafusion-comet/issues/1574#issuecomment-2861237181
> Isn't this addressed by
[#1575](https://github.com/apache/datafusion-comet/pull/1575) ?
As commented in
https://github.com/apache/datafusion-comet/pull/1575#discus
andygrove commented on code in PR #15958:
URL: https://github.com/apache/datafusion/pull/15958#discussion_r2078776570
##
datafusion/sqllogictest/test_files/spark/math/ceil.slt:
##
@@ -0,0 +1,141 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contribu
kazuyukitanimura commented on code in PR #1715:
URL: https://github.com/apache/datafusion-comet/pull/1715#discussion_r2078969812
##
.github/workflows/iceberg_spark_test.yml:
##
@@ -0,0 +1,80 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor
kazuyukitanimura commented on code in PR #1715:
URL: https://github.com/apache/datafusion-comet/pull/1715#discussion_r2078969812
##
.github/workflows/iceberg_spark_test.yml:
##
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+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor
miroim opened a new pull request, #15987:
URL: https://github.com/apache/datafusion/pull/15987
## Which issue does this PR close?
Part of #15950 .
## Rationale for this change
The `AvroExec` structure was deprecated in DataFusion 46 and is scheduled
for removal. Dev
MohamedAbdeen21 opened a new pull request, #1844:
URL: https://github.com/apache/datafusion-sqlparser-rs/pull/1844
Add support for the psql-specific ALTER TABLE operation REPLICA IDENTITY
Docs: https://www.postgresql.org/docs/current/sql-altertable.html
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andygrove commented on code in PR #1720:
URL: https://github.com/apache/datafusion-comet/pull/1720#discussion_r2078441658
##
spark/src/main/scala/org/apache/comet/rules/CometScanRule.scala:
##
@@ -96,6 +96,13 @@ case class CometScanRule(session: SparkSession) extends
Rule[Spark
parthchandra commented on code in PR #1602:
URL: https://github.com/apache/datafusion-comet/pull/1602#discussion_r2078437197
##
native/spark-expr/src/bitwise_funcs/bitwise_count.rs:
##
@@ -0,0 +1,103 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+// or more c
aharpervc commented on code in PR #1839:
URL:
https://github.com/apache/datafusion-sqlparser-rs/pull/1839#discussion_r2078461916
##
tests/sqlparser_mssql.rs:
##
@@ -283,6 +294,50 @@ fn parse_create_function() {
END\
";
let _ = ms().verified_stmt(create_functi
alamb closed pull request #15903: WIP: Testing parquet page cache reader
URL: https://github.com/apache/datafusion/pull/15903
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alamb merged PR #15970:
URL: https://github.com/apache/datafusion/pull/15970
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alamb commented on PR #15906:
URL: https://github.com/apache/datafusion/pull/15906#issuecomment-2860308364
Marking as draft as I think this PR is no longer waiting on feedback and I
am trying to make it easier to find PRs in need of review. Please mark it as
ready for review when it is read
codecov-commenter commented on PR #1721:
URL:
https://github.com/apache/datafusion-comet/pull/1721#issuecomment-2860400666
##
[Codecov](https://app.codecov.io/gh/apache/datafusion-comet/pull/1721?dropdown=coverage&src=pr&el=h1&utm_medium=referral&utm_source=github&utm_content=comment&utm_ca
parthchandra commented on issue #1574:
URL:
https://github.com/apache/datafusion-comet/issues/1574#issuecomment-2860407714
Isn't this addressed by #1575 ?
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