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feat: Support Union type in approx_distinct#23714

Merged
Jefffrey merged 3 commits into
apache:mainfrom
mkleen:union_approx_distinct
Jul 23, 2026
Merged

feat: Support Union type in approx_distinct#23714
Jefffrey merged 3 commits into
apache:mainfrom
mkleen:union_approx_distinct

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@mkleen

@mkleen mkleen commented Jul 20, 2026

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Which issue does this PR close?

Rationale for this change

  • Support the Arrow type Union for approx_distinct

What changes are included in this PR?

  • Enable HLLAccumulator and HllGroupsAccumulator to support Union
  • Tests

Are these changes tested?

Yes

Are there any user-facing changes?

Yes, approx_distinct supports now Union but no breaking changes.

@github-actions github-actions Bot added the functions Changes to functions implementation label Jul 20, 2026
@mkleen
mkleen marked this pull request as ready for review July 20, 2026 09:18
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Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 80.69%. Comparing base (3b1ce16) to head (9096c52).

Additional details and impacted files
@@           Coverage Diff           @@
##             main   #23714   +/-   ##
=======================================
  Coverage   80.69%   80.69%           
=======================================
  Files        1088     1088           
  Lines      367766   367813   +47     
  Branches   367766   367813   +47     
=======================================
+ Hits       296781   296820   +39     
- Misses      53276    53279    +3     
- Partials    17709    17714    +5     

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}

#[test]
fn union_support_hll_acc_and_group_acc() {

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not possible to do via SLT?

@mkleen mkleen Jul 20, 2026

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It's tricky via SLT. There is no SQL union type but only union operations in datafusion.

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what if we add more rows here:

fn register_union_table(ctx: &SessionContext) {
let union = UnionArray::try_new(
UnionFields::try_new(
// typeids: 3 for int, 1 for string
vec![3, 1],
vec![
Field::new("int", DataType::Int32, false),
Field::new("string", DataType::Utf8, false),
],
)
.unwrap(),
ScalarBuffer::from(vec![3, 1, 3]),
None,
vec![
Arc::new(Int32Array::from(vec![1, 2, 3])),
Arc::new(StringArray::from(vec![
Some("foo"),
Some("bar"),
Some("baz"),
])),
],
)
.unwrap();
let schema = Schema::new(vec![Field::new(
"union_column",
union.data_type().clone(),
false,
)]);
let batch =
RecordBatch::try_new(Arc::new(schema.clone()), vec![Arc::new(union)]).unwrap();
ctx.register_batch("union_table", batch).unwrap();
}

then can use in slts like here

# Note: union_table is registered via Rust code in the sqllogictest test harness
# because there is no way to create a union type in SQL today
##########
## UNION DataType Tests
##########
query ?I
select union_column, union_extract(union_column, 'int') from union_table;
----
{int=1} 1
{string=bar} NULL
{int=3} 3

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Good idea!

@mkleen
mkleen force-pushed the union_approx_distinct branch from 9096c52 to addd02c Compare July 22, 2026 11:15
@github-actions github-actions Bot added the sqllogictest SQL Logic Tests (.slt) label Jul 22, 2026
@mkleen
mkleen requested a review from Jefffrey July 22, 2026 12:56
ctx.register_batch("union_table", batch).unwrap();
}

fn register_approx_distinct_union_table(ctx: &SessionContext) {

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I added a separate batch which fits better for testing.

@Jefffrey
Jefffrey added this pull request to the merge queue Jul 23, 2026
@Jefffrey

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thanks @mkleen

@mkleen

mkleen commented Jul 23, 2026

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@Jefffrey thanks for the review!

Merged via the queue into apache:main with commit 1c8295c Jul 23, 2026
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3 participants