Introduce avg_distinct() and sum_distinct() functions to DataFrame API
#17536
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Jefffrey
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Sep 12, 2025
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| pub fn avg_distinct(expr: Expr) -> Expr { | ||
| Expr::AggregateFunction(datafusion_expr::expr::AggregateFunction::new_udf( | ||
| avg_udaf(), | ||
| vec![expr], | ||
| true, | ||
| None, | ||
| vec![], | ||
| None, | ||
| )) | ||
| } |
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Same as how count handles it:
datafusion/datafusion/functions-aggregate/src/count.rs
Lines 71 to 80 in bfc5067
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| min(col("c4")).alias("min(c4)"), | ||
| max(col("c4")).alias("max(c4)"), | ||
| avg(col("c4")).alias("avg(c4)"), | ||
| avg_distinct(col("c4")).alias("avg_distinct(c4)"), | ||
| sum(col("c4")).alias("sum(c4)"), | ||
| sum_distinct(col("c4")).alias("sum_distinct(c4)"), | ||
| count(col("c4")).alias("count(c4)"), | ||
| count_distinct(col("c4")).alias("count_distinct(c4)"), |
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I switched to c4 from c12 as c12 had some precision variations for avg_distinct leading to inconsistent test results, and figured it was easier to switch columns than slap round on the outputs
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Which issue does this PR close?
sum_distinct()function to dataframe #2407avg_distinct()function to dataframe #2409Rationale for this change
So we can use these distinct aggregates via DataFrames
What changes are included in this PR?
Are these changes tested?
Are there any user-facing changes?