kosiew commented on code in PR #1184:
URL:
https://github.com/apache/datafusion-python/pull/1184#discussion_r2194093566
##
python/tests/test_dataframe.py:
##
@@ -400,7 +400,6 @@ def test_unnest_without_nulls(nested_df):
assert result.column(1) == pa.array([7, 8, 8, 9, 9, 9
kosiew commented on PR #1185:
URL:
https://github.com/apache/datafusion-python/pull/1185#issuecomment-3051209201
Closed because of #1184
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kosiew closed pull request #1185: Add support for automatic join column
deduplication in DataFrame joins
URL: https://github.com/apache/datafusion-python/pull/1185
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kosiew commented on issue #1173:
URL:
https://github.com/apache/datafusion-python/issues/1173#issuecomment-3051181319
@timsaucer
Sorry for crossing lanes.
Feel free to close my PR.
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ViggoC commented on issue #8149:
URL: https://github.com/apache/datafusion/issues/8149#issuecomment-3051149803
@waynexia Why do you think that we don't need to support
OuterReferenceColumn? IMHO, It is the key path to implementing subquery.
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hsiang-c commented on PR #2000:
URL:
https://github.com/apache/datafusion-comet/pull/2000#issuecomment-3051010409
@kazuyukitanimura yes.
We can consider merging https://github.com/apache/datafusion-comet/pull/1987
to speed up CI, but need to fix some tests due to configuration.
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adriangb commented on PR #16718:
URL: https://github.com/apache/datafusion/pull/16718#issuecomment-3051014271
Thanks for merging @xudong963
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xudong963 merged PR #16718:
URL: https://github.com/apache/datafusion/pull/16718
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jonathanc-n closed pull request #16719: feat: Avoid duplicate `PhyscialExpr`
evaluation on hash table
URL: https://github.com/apache/datafusion/pull/16719
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Kontinuation commented on PR #1992:
URL:
https://github.com/apache/datafusion-comet/pull/1992#issuecomment-3050889742
I took a look at the `datafusion-comet-objectstore-hdfs` module Comet and
found that it largely overlaps with the Hadoop FileSystem bridge we are
building here. A better ap
github-actions[bot] closed pull request #13617: POC: Eliminate unnecessary
group by keys (q35 in clickbench 1.35x faster)
URL: https://github.com/apache/datafusion/pull/13617
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github-actions[bot] commented on PR #14367:
URL: https://github.com/apache/datafusion/pull/14367#issuecomment-3050880910
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 #15259:
URL: https://github.com/apache/datafusion/pull/15259#issuecomment-3050880818
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 #15451: Attach diagnostic for wrong arg
number error
URL: https://github.com/apache/datafusion/pull/15451
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kazuyukitanimura commented on PR #2000:
URL:
https://github.com/apache/datafusion-comet/pull/2000#issuecomment-3050875597
cc @hsiang-c
Does it make sense to include `[iceberg]` in the title to run the Iceberg CI?
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jonathanc-n opened a new pull request, #16719:
URL: https://github.com/apache/datafusion/pull/16719
## Which issue does this PR close?
- Closes #.
## Rationale for this change
While looking into hash join spilling I noticed that the physical expression
is being e
alamb commented on PR #79:
URL: https://github.com/apache/datafusion-site/pull/79#issuecomment-3050686286
> I made some changes based latest comments from folks.
>
> FYI @alamb , please correct me if i made some wrong changes, thanks a lot!
THank you -- it is looking great. I sp
alamb commented on code in PR #79:
URL: https://github.com/apache/datafusion-site/pull/79#discussion_r2193678166
##
content/blog/2025-07-14-user-defined-parquet-indexes.md:
##
@@ -0,0 +1,545 @@
+---
+layout: post
+title: Embedding User-Defined Indexes in Apache Parquet Files
+da
alamb commented on code in PR #79:
URL: https://github.com/apache/datafusion-site/pull/79#discussion_r2193677635
##
content/blog/2025-07-14-user-defined-parquet-indexes.md:
##
@@ -0,0 +1,545 @@
+---
+layout: post
+title: Embedding User-Defined Indexes in Apache Parquet Files
+da
adriangb commented on PR #16718:
URL: https://github.com/apache/datafusion/pull/16718#issuecomment-3050655613
Will merge once CI passes. Incidentally I was just working on HashJoinExec
pushdown and think some of these APIs will need another tweak. Headed in the
right direction but not quite
jonathanc-n commented on PR #16718:
URL: https://github.com/apache/datafusion/pull/16718#issuecomment-3050654080
@adriangb I refactored to use a function for it instead wdyt?
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jonathanc-n commented on PR #16718:
URL: https://github.com/apache/datafusion/pull/16718#issuecomment-3050635513
Actually instead of adding back the code, i think i'll bring this function
back into `PredicateSupport` since it now makes sense to.
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jonathanc-n commented on PR #16718:
URL: https://github.com/apache/datafusion/pull/16718#issuecomment-3050634024
@adriangb Just need a quick merge here 😆
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parthchandra commented on PR #1992:
URL:
https://github.com/apache/datafusion-comet/pull/1992#issuecomment-3050630944
@comphead @Kontinuation you might be interested in looking at this PR.
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parthchandra commented on code in PR #1992:
URL: https://github.com/apache/datafusion-comet/pull/1992#discussion_r2193617615
##
native/core/src/parquet/objectstore/jni_hdfs.rs:
##
@@ -0,0 +1,332 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+// or more contri
jonathanc-n opened a new pull request, #16718:
URL: https://github.com/apache/datafusion/pull/16718
## Which issue does this PR close?
- Closes #.
## Rationale for this change
Fix ci
## What changes are included in this PR?
#16686 seems to have been merg
kevinjqliu commented on PR #86:
URL: https://github.com/apache/datafusion-site/pull/86#issuecomment-3050539883
ok updated the PR to include the workaround. lets pin to use the working
commit for `apache/infrastructure-actions`, which is
`8aee7a080268198548d8d1b4f1315a4fb94bffea`.
Added
kevinjqliu commented on PR #86:
URL: https://github.com/apache/datafusion-site/pull/86#issuecomment-3050505258
Opened https://github.com/apache/infrastructure-actions/issues/218
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kevinjqliu commented on PR #86:
URL: https://github.com/apache/datafusion-site/pull/86#issuecomment-3050501650
> seems to be something wrong with the infrastructure-actions repo
yea super weird. this is the offending commit
https://github.com/apache/infrastructure-actions/commit/0b75b
XiangpengHao commented on PR #16711:
URL: https://github.com/apache/datafusion/pull/16711#issuecomment-3050458408
I believe the bugs are fixed in 2cf1a8f82f722e1c7e4857d7b07ba726f67d9f2f
Can you point to that commit and try the benchmark again?
I believe some tests will still fa
alamb commented on code in PR #79:
URL: https://github.com/apache/datafusion-site/pull/79#discussion_r2193539118
##
content/blog/2025-07-14-user-defined-parquet-indexes.md:
##
@@ -0,0 +1,578 @@
+---
+layout: post
+title: Embedding User-Defined Indexes in Apache Parquet Files
+da
fvj commented on PR #16687:
URL: https://github.com/apache/datafusion/pull/16687#issuecomment-3050427897
you're very welcome. I hope I can contribute more valuable stuff in the
future :)
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wegamekinglc opened a new issue, #1186:
URL: https://github.com/apache/datafusion-python/issues/1186
### Describe the bug
Hi team, I have encountered a performance issue when I run same query on a
big table with datafusion comparing with DuckDB.
I will try to simplify my case a
alamb commented on issue #16707:
URL: https://github.com/apache/datafusion/issues/16707#issuecomment-3050425801
Moving to `datafusion-python` repo as I think we have identified the
underlying issue and it is traced in
https://github.com/apache/datafusion/issues/16717
We can close thi
alamb commented on issue #16707:
URL: https://github.com/apache/datafusion/issues/16707#issuecomment-3050422281
I filed
- https://github.com/apache/datafusion/issues/16717
to track
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alamb opened a new issue, #16717:
URL: https://github.com/apache/datafusion/issues/16717
### Is your feature request related to a problem or challenge?
Most of DataFuson is carefully designed to operate on ~ target-batch size
partitions (e.g. 8k rows) at a time
However some dat
alamb commented on PR #16687:
URL: https://github.com/apache/datafusion/pull/16687#issuecomment-3050383546
Thanks again @fvj
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alamb merged PR #16687:
URL: https://github.com/apache/datafusion/pull/16687
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alamb commented on PR #16687:
URL: https://github.com/apache/datafusion/pull/16687#issuecomment-3050383391
🚀
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alamb commented on PR #16705:
URL: https://github.com/apache/datafusion/pull/16705#issuecomment-3050382520
Thanks again @bert-beyondloops
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alamb closed issue #16704: Output schema of the CopyTo logical plan is not
correct.
URL: https://github.com/apache/datafusion/issues/16704
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alamb merged PR #16705:
URL: https://github.com/apache/datafusion/pull/16705
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alamb commented on code in PR #16686:
URL: https://github.com/apache/datafusion/pull/16686#discussion_r2193493034
##
datafusion/core/tests/physical_optimizer/filter_pushdown/mod.rs:
##
@@ -289,7 +289,7 @@ fn test_no_pushdown_through_aggregates() {
Ok:
- Filte
alamb merged PR #16694:
URL: https://github.com/apache/datafusion/pull/16694
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alamb closed issue #16563: Bug: the new filter pushdown optimizer rule in
physical layer will miss the equivalence info in filter
URL: https://github.com/apache/datafusion/issues/16563
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alamb merged PR #16686:
URL: https://github.com/apache/datafusion/pull/16686
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alamb commented on PR #16694:
URL: https://github.com/apache/datafusion/pull/16694#issuecomment-3050382157
Thanks again @mjgarton
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alamb closed issue #16693: Running tests with `--test-threads` option fails.
URL: https://github.com/apache/datafusion/issues/16693
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yoavcloud commented on code in PR #1929:
URL:
https://github.com/apache/datafusion-sqlparser-rs/pull/1929#discussion_r2193440626
##
tests/sqlparser_snowflake.rs:
##
@@ -4232,3 +4232,122 @@ fn
test_snowflake_create_view_with_composite_policy_name() {
r#"CREATE VIEW X (
alamb commented on issue #16707:
URL: https://github.com/apache/datafusion/issues/16707#issuecomment-3050296207
I double checked that the API used in the python script and it looks like
depending on the exact type of the Python object, it seems it always gets the
data in memory as a MemTabl
dharanad opened a new pull request, #2001:
URL: https://github.com/apache/datafusion-comet/pull/2001
## Which issue does this PR close?
Closes #1995
## Rationale for this change
## What changes are included in this PR?
## How are these chang
Dandandan commented on PR #16690:
URL: https://github.com/apache/datafusion/pull/16690#issuecomment-3050260270
I would expect the largest difference to be in sorting benchmarks
(`sort_tpch` etc.)
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yoavcloud opened a new pull request, #1931:
URL: https://github.com/apache/datafusion-sqlparser-rs/pull/1931
The code that parses `CREATE TABLE` in the Snowflake dialect assumed that if
the `AS`, `LIKE` or `CLONE` options are used, then no other options can be
specified. That is not true, s
GitHub user NGA-TRAN added a comment to the discussion: DISCUSSION: DataFusion
Meetup in Boston, USA
I have updated the description. Let us go with Wednesday, November 12th.
GitHub link:
https://github.com/apache/datafusion/discussions/16703#discussioncomment-13700744
This is an automat
ryanschneider commented on code in PR #1927:
URL:
https://github.com/apache/datafusion-sqlparser-rs/pull/1927#discussion_r2193394552
##
tests/sqlparser_common.rs:
##
@@ -15974,3 +15974,133 @@ fn parse_create_procedure_with_parameter_modes() {
_ => unreachable!(),
ryanschneider commented on code in PR #1927:
URL:
https://github.com/apache/datafusion-sqlparser-rs/pull/1927#discussion_r2193393495
##
src/dialect/mod.rs:
##
@@ -650,8 +651,19 @@ pub trait Dialect: Debug + Any {
Token::Word(w) if w.keyword == Keyword::MATCH =>
kevinjqliu commented on issue #80:
URL: https://github.com/apache/datafusion-site/issues/80#issuecomment-3050221253
i created an apache infra ticket to enable the giscus github app for this
repo
https://issues.apache.org/jira/browse/INFRA-26989
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GitHub user NGA-TRAN edited a discussion: DISCUSSION: DataFusion Meetup in
Boston, USA
With the upcoming New York meetup on the horizon, the DataDog Boston team is
excited to plan a local DataFusion-themed gathering this fall!
**Date:** Wednesday, November 12
📍 Location: DataDog, 225 Frankl
alamb commented on issue #16707:
URL: https://github.com/apache/datafusion/issues/16707#issuecomment-3050196330
> Isn't the easiest solution is to update `DataSourceExec` to adhere to
target batch size?
Maybe -- I will file a ticket to explain the problem with a DataFusion only
repro
alamb commented on PR #16632:
URL: https://github.com/apache/datafusion/pull/16632#issuecomment-3050201621
> branch has been rebased. Should I squash commit or is this done during
merge ?
commits are squashed on merge so no need to do it on the branch
Pushing commits rather tha
alamb commented on PR #16342:
URL: https://github.com/apache/datafusion/pull/16342#issuecomment-3050189370
- Reverted in https://github.com/apache/datafusion/pull/16682
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alamb commented on issue #16240:
URL: https://github.com/apache/datafusion/issues/16240#issuecomment-3050190451
Unfortunately, we had to revert the original fix, see
- https://github.com/apache/datafusion/pull/16682
So I am reopening the ticket to track
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alamb commented on PR #16682:
URL: https://github.com/apache/datafusion/pull/16682#issuecomment-3050188171
> @alamb @brunal sorry for inconvenience, revert it is ok. I'm trying to
find a new way to implement this feature.
Thank you @brunal and @chenkovsky
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alamb merged PR #16682:
URL: https://github.com/apache/datafusion/pull/16682
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mmooyyii opened a new issue, #16240:
URL: https://github.com/apache/datafusion/issues/16240
I want write a csv file only include headers;
```
use datafusion::config::CsvOptions;
use datafusion::dataframe::DataFrameWriteOptions;
use datafusion::error::Result;
use datafusion:
alamb commented on PR #16645:
URL: https://github.com/apache/datafusion/pull/16645#issuecomment-3050178802
> > I suspect updating the results was faster than it might have previously
been thanks to the work @blaginin @Chen-Yuan-Lai have done to migrate most of
our plan tests to `insta`
>
alamb merged PR #85:
URL: https://github.com/apache/datafusion-site/pull/85
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alamb commented on PR #16669:
URL: https://github.com/apache/datafusion/pull/16669#issuecomment-3050174594
Thank you for the review @jonahgao ❤️
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alamb closed issue #14141: Error when use `user` field in where clause
URL: https://github.com/apache/datafusion/issues/14141
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alamb merged PR #16669:
URL: https://github.com/apache/datafusion/pull/16669
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ozankabak commented on issue #16707:
URL: https://github.com/apache/datafusion/issues/16707#issuecomment-3050173385
Isn't the easiest solution is to update `DataSourceExec` to adhere to target
batch size?
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mbutrovich commented on code in PR #1954:
URL: https://github.com/apache/datafusion-comet/pull/1954#discussion_r2193350391
##
native/spark-expr/src/bloom_filter/bloom_filter_might_contain.rs:
##
@@ -0,0 +1,209 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+//
bert-beyondloops commented on PR #16632:
URL: https://github.com/apache/datafusion/pull/16632#issuecomment-3050159701
branch has been rebased
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jonathanc-n commented on issue #16710:
URL: https://github.com/apache/datafusion/issues/16710#issuecomment-3050155137
Ohh, I missed the part in the documentation which had the h2o_small_join
able to downloaded, i thought the h2o_small had it all 😆
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alamb commented on PR #16434:
URL: https://github.com/apache/datafusion/pull/16434#issuecomment-3050097130
TLDR this branch looks good from my performance perspective. Thank you
@jonathanc-n and @Dandandan
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mbutrovich commented on code in PR #1954:
URL: https://github.com/apache/datafusion-comet/pull/1954#discussion_r2193310051
##
native/spark-expr/src/bloom_filter/bloom_filter_might_contain.rs:
##
@@ -0,0 +1,196 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+//
alamb closed issue #16179: Support u32 indices in HashJoinExec
URL: https://github.com/apache/datafusion/issues/16179
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alamb merged PR #16434:
URL: https://github.com/apache/datafusion/pull/16434
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timsaucer commented on PR #1185:
URL:
https://github.com/apache/datafusion-python/pull/1185#issuecomment-3050083502
Would you mind taking a look at
https://github.com/apache/datafusion-python/pull/1184 ? It's an alternate
approach which basically reuses the logic of `drop_columns` on the r
codecov-commenter commented on PR #1996:
URL:
https://github.com/apache/datafusion-comet/pull/1996#issuecomment-3050078977
##
[Codecov](https://app.codecov.io/gh/apache/datafusion-comet/pull/1996?dropdown=coverage&src=pr&el=h1&utm_medium=referral&utm_source=github&utm_content=comment&utm_ca
andygrove commented on code in PR #1996:
URL: https://github.com/apache/datafusion-comet/pull/1996#discussion_r2193256587
##
spark/src/main/scala/org/apache/comet/serde/QueryPlanSerde.scala:
##
@@ -677,7 +677,13 @@ object QueryPlanSerde extends Logging with CometExprShim {
solontsev commented on code in PR #1928:
URL:
https://github.com/apache/datafusion-sqlparser-rs/pull/1928#discussion_r2193231211
##
tests/sqlparser_postgres.rs:
##
@@ -2207,19 +2223,31 @@ fn parse_pg_like_match_ops() {
];
for (str_op, op) in pg_like_match_ops {
-
solontsev commented on code in PR #1928:
URL:
https://github.com/apache/datafusion-sqlparser-rs/pull/1928#discussion_r2193231211
##
tests/sqlparser_postgres.rs:
##
@@ -2207,19 +2223,31 @@ fn parse_pg_like_match_ops() {
];
for (str_op, op) in pg_like_match_ops {
-
nuno-faria opened a new pull request, #16716:
URL: https://github.com/apache/datafusion/pull/16716
## Which issue does this PR close?
N/A.
## Rationale for this change
When executing hash joins, the build side is first built from the left
relation and the
kevinjqliu commented on code in PR #79:
URL: https://github.com/apache/datafusion-site/pull/79#discussion_r2193162144
##
content/blog/2025-07-14-user-defined-parquet-indexes.md:
##
@@ -0,0 +1,578 @@
+---
+layout: post
+title: Embedding User-Defined Indexes in Apache Parquet File
rishvin commented on PR #1971:
URL:
https://github.com/apache/datafusion-comet/pull/1971#issuecomment-3049894948
@andygrove I have made the changes, could you please recheck.
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codecov-commenter commented on PR #2000:
URL:
https://github.com/apache/datafusion-comet/pull/2000#issuecomment-3049875434
##
[Codecov](https://app.codecov.io/gh/apache/datafusion-comet/pull/2000?dropdown=coverage&src=pr&el=h1&utm_medium=referral&utm_source=github&utm_content=comment&utm_ca
kevinjqliu commented on PR #79:
URL: https://github.com/apache/datafusion-site/pull/79#issuecomment-3049874530
I can render it locally. also #86 should make local dev easier
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ryanschneider commented on code in PR #1927:
URL:
https://github.com/apache/datafusion-sqlparser-rs/pull/1927#discussion_r2193132588
##
src/dialect/mod.rs:
##
@@ -1076,6 +1088,15 @@ pub trait Dialect: Debug + Any {
fn supports_comma_separated_drop_column_list(&self) -> boo
comphead commented on PR #79:
URL: https://github.com/apache/datafusion-site/pull/79#issuecomment-3049815105
Appreciate if anyone can tell if its possible to read the blog draft
compiled with formatting?
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codecov-commenter commented on PR #1999:
URL:
https://github.com/apache/datafusion-comet/pull/1999#issuecomment-3049811609
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huaxingao opened a new pull request, #2000:
URL: https://github.com/apache/datafusion-comet/pull/2000
## Which issue does this PR close?
Closes #.
## Rationale for this change
## What changes are included in this PR?
## How are these changes
andygrove commented on PR #1987:
URL:
https://github.com/apache/datafusion-comet/pull/1987#issuecomment-3049800502
I see that some tests are failing due to
https://github.com/apache/datafusion-comet/issues/1982
```
org.apache.spark.SparkException: Job aborted due to stage failure
kevinjqliu commented on PR #86:
URL: https://github.com/apache/datafusion-site/pull/86#issuecomment-3049794080
changing to `urllib3==2.2.3` works
https://github.com/apache/infrastructure-actions/blob/1115490227e7aaf7ccee5b06bb3b5955e7cf8493/pelican/requirements.txt#L11
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kevinjqliu opened a new pull request, #86:
URL: https://github.com/apache/datafusion-site/pull/86
(no comment)
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kevinjqliu commented on PR #86:
URL: https://github.com/apache/datafusion-site/pull/86#issuecomment-3049790410
Not sure why the pelican Dockerfile build fails...
```
6.961 ERROR: Could not find a version that satisfies the requirement
urllib3==2.5.0 (from versions: 0.3, 1.0, 1.0.1, 1.
mbutrovich commented on PR #1954:
URL:
https://github.com/apache/datafusion-comet/pull/1954#issuecomment-3049764358
Just pending CI, will likely merge later today.
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mbutrovich commented on code in PR #1954:
URL: https://github.com/apache/datafusion-comet/pull/1954#discussion_r219304
##
native/spark-expr/src/bloom_filter/bloom_filter_might_contain.rs:
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@@ -0,0 +1,196 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+//
mbutrovich commented on code in PR #1954:
URL: https://github.com/apache/datafusion-comet/pull/1954#discussion_r219304
##
native/spark-expr/src/bloom_filter/bloom_filter_might_contain.rs:
##
@@ -0,0 +1,196 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+//
tglanz commented on code in PR #1954:
URL: https://github.com/apache/datafusion-comet/pull/1954#discussion_r2193074384
##
native/spark-expr/src/bloom_filter/bloom_filter_might_contain.rs:
##
@@ -0,0 +1,196 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+// or
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