andygrove commented on code in PR #1073:
URL: https://github.com/apache/datafusion-comet/pull/1073#discussion_r1851080830
##########
native/spark-expr/src/list.rs:
##########
@@ -413,14 +426,297 @@ impl PartialEq<dyn Any> for GetArrayStructFields {
}
}
+#[derive(Debug, Hash)]
+pub struct ArrayInsert {
+ src_array_expr: Arc<dyn PhysicalExpr>,
+ pos_expr: Arc<dyn PhysicalExpr>,
+ item_expr: Arc<dyn PhysicalExpr>,
+ legacy_negative_index: bool,
+}
+
+impl ArrayInsert {
+ pub fn new(
+ src_array_expr: Arc<dyn PhysicalExpr>,
+ pos_expr: Arc<dyn PhysicalExpr>,
+ item_expr: Arc<dyn PhysicalExpr>,
+ legacy_negative_index: bool,
+ ) -> Self {
+ Self {
+ src_array_expr,
+ pos_expr,
+ item_expr,
+ legacy_negative_index,
+ }
+ }
+}
+
+impl PhysicalExpr for ArrayInsert {
+ fn as_any(&self) -> &dyn Any {
+ self
+ }
+
+ fn data_type(&self, input_schema: &Schema) -> DataFusionResult<DataType> {
+ match self.src_array_expr.data_type(input_schema)? {
+ DataType::List(field) => Ok(DataType::List(field)),
+ DataType::LargeList(field) => Ok(DataType::LargeList(field)),
+ data_type => Err(DataFusionError::Internal(format!(
+ "Unexpected data type in ArrayInsert: {:?}",
+ data_type
+ ))),
+ }
+ }
+
+ fn nullable(&self, input_schema: &Schema) -> DataFusionResult<bool> {
+ self.src_array_expr.nullable(input_schema)
+ }
+
+ fn evaluate(&self, batch: &RecordBatch) -> DataFusionResult<ColumnarValue>
{
+ let pos_value = self
+ .pos_expr
+ .evaluate(batch)?
+ .into_array(batch.num_rows())?;
+
+ // Spark supports only IntegerType (Int32):
+ //
https://github.com/apache/spark/blob/branch-3.5/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala#L4737
+ if !matches!(pos_value.data_type(), DataType::Int32) {
+ return Err(DataFusionError::Internal(format!(
+ "Unexpected index data type in ArrayInsert: {:?}, expected
type is Int32",
+ pos_value.data_type()
+ )));
+ }
+
+ // Check that src array is actually an array and get it's value type
+ let src_value = self
+ .src_array_expr
+ .evaluate(batch)?
+ .into_array(batch.num_rows())?;
+ let src_element_type = match src_value.data_type() {
+ DataType::List(field) => field.data_type(),
+ DataType::LargeList(field) => field.data_type(),
+ data_type => {
+ return Err(DataFusionError::Internal(format!(
+ "Unexpected src array type in ArrayInsert: {:?}",
+ data_type
+ )))
+ }
Review Comment:
minor nit: this logic for extracting a list type is repeated a few times and
could be factored out into a function
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: github-unsubscr...@datafusion.apache.org
For queries about this service, please contact Infrastructure at:
us...@infra.apache.org
---------------------------------------------------------------------
To unsubscribe, e-mail: github-unsubscr...@datafusion.apache.org
For additional commands, e-mail: github-h...@datafusion.apache.org
