rluvaton commented on code in PR #18152:
URL: https://github.com/apache/datafusion/pull/18152#discussion_r2466142414
##########
datafusion/physical-expr/src/expressions/case.rs:
##########
@@ -122,6 +125,384 @@ fn is_cheap_and_infallible(expr: &Arc<dyn PhysicalExpr>)
-> bool {
expr.as_any().is::<Column>()
}
+/// Creates a [FilterPredicate] from a boolean array.
+fn create_filter(predicate: &BooleanArray) -> FilterPredicate {
+ let mut filter_builder = FilterBuilder::new(predicate);
+ // Always optimize the filter since we use them multiple times.
+ filter_builder = filter_builder.optimize();
+ filter_builder.build()
+}
+
+// This should be removed when https://github.com/apache/arrow-rs/pull/8693
+// is merged and becomes available.
+fn filter_record_batch(
+ record_batch: &RecordBatch,
+ filter: &FilterPredicate,
+) -> std::result::Result<RecordBatch, ArrowError> {
+ let filtered_columns = record_batch
+ .columns()
+ .iter()
+ .map(|a| filter_array(a, filter))
+ .collect::<std::result::Result<Vec<_>, _>>()?;
+ // SAFETY: since we start from a valid RecordBatch, there's no need to
revalidate the schema
+ // since the set of columns has not changed.
+ // The input column arrays all had the same length (since they're coming
from a valid RecordBatch)
+ // and the filtering them with the same filter will produces a new set of
arrays with identical
+ // lengths.
+ unsafe {
+ Ok(RecordBatch::new_unchecked(
+ record_batch.schema(),
+ filtered_columns,
+ filter.count(),
+ ))
+ }
+}
+
+// This function exists purely to be able to use the same call style
+// for `filter_record_batch` and `filter_array` at the point of use.
+// When https://github.com/apache/arrow-rs/pull/8693 is available, replace
+// both with method calls on `FilterPredicate`.
+#[inline(always)]
+fn filter_array(
+ array: &dyn Array,
+ filter: &FilterPredicate,
+) -> std::result::Result<ArrayRef, ArrowError> {
+ filter.filter(array)
+}
+
+/// Merges elements by index from a list of [`ArrayData`], creating a new
[`ColumnarValue`] from
+/// those values.
+///
+/// Each element in `indices` is the index of an array in `values`. The
`indices` array is processed
+/// sequentially. The first occurrence of index value `n` will be mapped to
the first
+/// value of the array at index `n`. The second occurrence to the second
value, and so on.
+/// An index value of `usize::MAX` is used to indicate null values.
+///
+/// # Implementation notes
+///
+/// This algorithm is similar in nature to both `zip` and `interleave`, but
there are some important
+/// differences.
+///
+/// In contrast to `zip`, this function supports multiple input arrays.
Instead of a boolean
+/// selection vector, an index array is to take values from the input arrays,
and a special marker
+/// value is used to indicate null values.
+///
+/// In contrast to `interleave`, this function does not use pairs of indices.
The values in
+/// `indices` serve the same purpose as the first value in the pairs passed to
`interleave`.
+/// The index in the array is implicit and is derived from the number of times
a particular array
+/// index occurs.
+/// The more constrained indexing mechanism used by this algorithm makes it
easier to copy values
+/// in contiguous slices. In the example below, the two subsequent elements
from array `2` can be
+/// copied in a single operation from the source array instead of copying them
one by one.
+/// Long spans of null values are also especially cheap because they do not
need to be represented
+/// in an input array.
+///
+/// # Safety
+///
+/// This function does not check that the number of occurrences of any
particular array index matches
+/// the length of the corresponding input array. If an array contains more
values than required, the
+/// spurious values will be ignored. If an array contains fewer values than
necessary, this function
+/// will panic.
Review Comment:
Can you assert it in when debug assertion is enabled?
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