Convert VariancePopulation to UDAF
#10836
Merged
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
github-actions
bot
added
logical-expr
mknaw
commented
Jun 8, 2024
Comment on lines
-712
to
-732
| #[test] | ||
| fn test_var_pop_expr() -> Result<()> { | ||
| let funcs = vec![AggregateFunction::VariancePop]; | ||
| let data_types = vec![ | ||
| DataType::UInt32, | ||
| DataType::UInt64, | ||
| DataType::Int32, | ||
| DataType::Int64, | ||
| DataType::Float32, | ||
| DataType::Float64, | ||
| ]; | ||
| for fun in funcs { | ||
| for data_type in &data_types { | ||
| let input_schema = | ||
| Schema::new(vec![Field::new("c1", data_type.clone(), true)]); | ||
| let input_phy_exprs: Vec<Arc<dyn PhysicalExpr>> = vec![Arc::new( | ||
| expressions::Column::new_with_schema("c1", &input_schema).unwrap(), | ||
| )]; | ||
| let result_agg_phy_exprs = create_physical_agg_expr_for_test( | ||
| &fun, | ||
| false, | ||
| &input_phy_exprs[0..1], | ||
| &input_schema, | ||
| "c1", | ||
| )?; | ||
| if fun == AggregateFunction::VariancePop { | ||
| assert!(result_agg_phy_exprs.as_any().is::<VariancePop>()); | ||
| assert_eq!("c1", result_agg_phy_exprs.name()); | ||
| assert_eq!( | ||
| Field::new("c1", DataType::Float64, true), | ||
| result_agg_phy_exprs.field().unwrap() | ||
| ) | ||
| } | ||
| } | ||
| } | ||
| Ok(()) | ||
| } |
There was a problem hiding this comment.
I believe this is covered by the sqllogictests, but this belief may be ignorant
This was referenced Jun 9, 2024
|
I think you need to comment out And, run |
|
Thanks @mknaw and @goldmedal |
findepi
pushed a commit
to findepi/datafusion
that referenced
this pull request
Jul 16, 2024
Michael-J-Ward
added a commit
to Michael-J-Ward/datafusion-python
that referenced
this pull request
Jul 24, 2024
Michael-J-Ward
added a commit
to Michael-J-Ward/datafusion-python
that referenced
this pull request
Jul 24, 2024
Michael-J-Ward
added a commit
to Michael-J-Ward/datafusion-python
that referenced
this pull request
Jul 25, 2024
andygrove
pushed a commit
to apache/datafusion-python
that referenced
this pull request
Jul 31, 2024
* chore: update datafusion deps * feat: impl ExecutionPlan::static_name() for DatasetExec This required trait method was added upstream [0] and recommends to simply forward to `static_name`. [0]: apache/datafusion#10266 * feat: update first_value and last_value wrappers. Upstream signatures were changed for the new new `AggregateBuilder` api [0]. This simply gets the code to work. We should better incorporate that API into `datafusion-python`. [0] apache/datafusion#10560 * migrate count to UDAF Builtin Count was removed upstream. TBD whether we want to re-implement `count_star` with new API. Ref: apache/datafusion#10893 * migrate approx_percentile_cont, approx_distinct, and approx_median to UDAF Ref: approx_distinct apache/datafusion#10851 Ref: approx_median apache/datafusion#10840 Ref: approx_percentile_cont and _with_weight apache/datafusion#10917 * migrate avg to UDAF Ref: apache/datafusion#10964 * migrage corr to UDAF Ref: apache/datafusion#10884 * migrate grouping to UDAF Ref: apache/datafusion#10906 * add alias `mean` for UDAF `avg` * migrate stddev to UDAF Ref: apache/datafusion#10827 * remove rust alias for stddev The python wrapper now provides stddev_samp alias. * migrage var_pop to UDAF Ref: apache/datafusion#10836 * migrate regr_* functions to UDAF Ref: apache/datafusion#10898 * migrate bitwise functions to UDAF The functions now take a single expression instead of a Vec<_>. Ref: apache/datafusion#10930 * add missing variants for ScalarValue with todo * fix typo in approx_percentile_cont * add distinct arg to count * comment out failing test `approx_percentile_cont` is now returning a DoubleArray instead of an IntArray. This may be a bug upstream; it requires further investigation. * update tests to expect lowercase `sum` in query plans This was changed upstream. Ref: apache/datafusion#10831 * update ScalarType data_type map * add docs dependency pickleshare * re-implement count_star * lint: ruff python lint * lint: rust cargo fmt * include name of window function in error for find_window_fn * refactor `find_window_fn` for debug clarity * search default aggregate functions by both name and aliases The alias list no longer includes the name of the function. Ref: apache/datafusion#10658 * fix markdown in find_window_fn docs * parameterize test_window_functions `first_value` and `last_value` are currently failing and marked as xfail. * add test ids to test_simple_select tests marked xfail * update find_window_fn to search built-ins first The behavior of `first_value` and `last_value` UDAFs currently does not match the built-in behavior. This allowed me to remove `marks=pytest.xfail` from the window tests. * improve first_call and last_call use of the builder API * remove trailing todos * fix examples/substrait.py * chore: remove explicit aliases from functions.rs Ref: #779 * remove `array_fn!` aliases * remove alias rules for `expr_fn_vec!` * remove alias rules from `expr_fn!` macro * remove unnecessary pyo3 var-arg signatures in functions.rs * remove pyo3 signatures that provided defaults for first_value and last_value * parametrize test_string_functions * test regr_ function wrappers Closes #778
This pull request was closed.
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Which issue does this PR close?
Closes #10668
Rationale for this change
What changes are included in this PR?
Are these changes tested?
yes, via sqllogictest, I believe...
Are there any user-facing changes?
sure hope not