feat(connect): with_columns_renamed (#3386)

src/daft-connect/src/translation/logical_plan.rs

@@ -27,6 +27,7 @@ mod range;
 mod read;
 mod to_df;
 mod with_columns;
+mod with_columns_renamed;
 
 pub struct SparkAnalyzer<'a> {
     pub psets: &'a InMemoryPartitionSetCache,
@@ -110,6 +111,10 @@ impl SparkAnalyzer<'_> {
                 self.local_relation(plan_id, l)
                     .wrap_err("Failed to apply local_relation to logical plan")
             }
+            RelType::WithColumnsRenamed(w) => self
+                .with_columns_renamed(*w)
+                .await
+                .wrap_err("Failed to apply with_columns_renamed to logical plan"),
             RelType::Read(r) => read::read(r)
                 .await
                 .wrap_err("Failed to apply read to logical plan"),

src/daft-connect/src/translation/logical_plan/with_columns_renamed.rs

@@ -0,0 +1,48 @@
+use daft_dsl::col;
+use daft_logical_plan::LogicalPlanBuilder;
+use eyre::{bail, Context};
+
+use crate::translation::SparkAnalyzer;
+
+impl SparkAnalyzer<'_> {
+    pub async fn with_columns_renamed(
+        &self,
+        with_columns_renamed: spark_connect::WithColumnsRenamed,
+    ) -> eyre::Result<LogicalPlanBuilder> {
+        let spark_connect::WithColumnsRenamed {
+            input,
+            rename_columns_map,
+            renames,
+        } = with_columns_renamed;
+
+        let Some(input) = input else {
+            bail!("Input is required");
+        };
+
+        let plan = Box::pin(self.to_logical_plan(*input)).await?;
+
+        // todo: let's implement this directly into daft
+
+        // Convert the rename mappings into expressions
+        let rename_exprs = if !rename_columns_map.is_empty() {
+            // Use rename_columns_map if provided (legacy format)
+            rename_columns_map
+                .into_iter()
+                .map(|(old_name, new_name)| col(old_name.as_str()).alias(new_name.as_str()))
+                .collect()
+        } else {
+            // Use renames if provided (new format)
+            renames
+                .into_iter()
+                .map(|rename| col(rename.col_name.as_str()).alias(rename.new_col_name.as_str()))
+                .collect()
+        };
+
+        // Apply the rename expressions to the plan
+        let plan = plan
+            .select(rename_exprs)
+            .wrap_err("Failed to apply rename expressions to logical plan")?;
+
+        Ok(plan)
+    }
+}

tests/connect/test_with_columns_renamed.py

@@ -0,0 +1,24 @@
+from __future__ import annotations
+
+
+def test_with_columns_renamed(spark_session):
+    # Test withColumnRenamed
+    df = spark_session.range(5)
+    renamed_df = df.withColumnRenamed("id", "number")
+
+    collected = renamed_df.collect()
+    assert len(collected) == 5
+    assert "number" in renamed_df.columns
+    assert "id" not in renamed_df.columns
+    assert [row["number"] for row in collected] == list(range(5))
+
+    # todo: this edge case is a spark connect bug; it will only send rename of id -> character over protobuf
+    # # Test withColumnsRenamed
+    # df = spark_session.range(2)
+    # renamed_df = df.withColumnsRenamed({"id": "number", "id": "character"})
+    #
+    # collected = renamed_df.collect()
+    # assert len(collected) == 2
+    # assert set(renamed_df.columns) == {"number", "character"}
+    # assert "id" not in renamed_df.columns
+    # assert [(row["number"], row["character"]) for row in collected] == [(0, 0), (1, 1)]