Replace with_schema_unchecked with new_unchecked (#7405)

* Make with_schema_unchecked unsafe

* Fix tests

* Revert with_schema_unchecked

* Add new_unchecked

* Add into_parts

* Review feedback

Author: tustvold

Diff for: arrow-array/src/record_batch.rs

@@ -211,10 +211,11 @@ impl RecordBatch {
     /// Creates a `RecordBatch` from a schema and columns.
     ///
     /// Expects the following:
-    ///  * the vec of columns to not be empty
-    ///  * the schema and column data types to have equal lengths
-    ///    and match
-    ///  * each array in columns to have the same length
+    ///
+    ///  * `!columns.is_empty()`
+    ///  * `schema.fields.len() == columns.len()`
+    ///  * `schema.fields[i].data_type() == columns[i].data_type()`
+    ///  * `columns[i].len() == columns[j].len()`
     ///
     /// If the conditions are not met, an error is returned.
     ///
@@ -240,6 +241,33 @@ impl RecordBatch {
         Self::try_new_impl(schema, columns, &options)
     }
 
+    /// Creates a `RecordBatch` from a schema and columns, without validation.
+    ///
+    /// See [`Self::try_new`] for the checked version.
+    ///
+    /// # Safety
+    ///
+    /// Expects the following:
+    ///
+    ///  * `schema.fields.len() == columns.len()`
+    ///  * `schema.fields[i].data_type() == columns[i].data_type()`
+    ///  * `columns[i].len() == row_count`
+    ///
+    /// Note: if the schema does not match the underlying data exactly, it can lead to undefined
+    /// behavior, for example, via conversion to a `StructArray`, which in turn could lead
+    /// to incorrect access.
+    pub unsafe fn new_unchecked(
+        schema: SchemaRef,
+        columns: Vec<Arc<dyn Array>>,
+        row_count: usize,
+    ) -> Self {
+        Self {
+            schema,
+            columns,
+            row_count,
+        }
+    }
+
     /// Creates a `RecordBatch` from a schema and columns, with additional options,
     /// such as whether to strictly validate field names.
     ///
@@ -340,6 +368,11 @@ impl RecordBatch {
         })
     }
 
+    /// Return the schema, columns and row count of this [`RecordBatch`]
+    pub fn into_parts(self) -> (SchemaRef, Vec<ArrayRef>, usize) {
+        (self.schema, self.columns, self.row_count)
+    }
+
     /// Override the schema of this [`RecordBatch`]
     ///
     /// Returns an error if `schema` is not a superset of the current schema
@@ -359,18 +392,6 @@ impl RecordBatch {
         })
     }
 
-    /// Overrides the schema of this [`RecordBatch`]
-    /// without additional schema checks. Note, however, that this pushes all the schema compatibility responsibilities
-    /// to the caller site. In particular, the caller guarantees that `schema` is a superset
-    /// of the current schema as determined by [`Schema::contains`].
-    pub fn with_schema_unchecked(self, schema: SchemaRef) -> Result<Self, ArrowError> {
-        Ok(Self {
-            schema,
-            columns: self.columns,
-            row_count: self.row_count,
-        })
-    }
-
     /// Returns the [`Schema`] of the record batch.
     pub fn schema(&self) -> SchemaRef {
         self.schema.clone()
@@ -756,14 +777,12 @@ impl RecordBatchOptions {
             row_count: None,
         }
     }
-
-    /// Sets the `row_count` of `RecordBatchOptions` and returns this [`RecordBatch`]
+    /// Sets the row_count of RecordBatchOptions and returns self
     pub fn with_row_count(mut self, row_count: Option<usize>) -> Self {
         self.row_count = row_count;
         self
     }
-
-    /// Sets the `match_field_names` of `RecordBatchOptions` and returns this [`RecordBatch`]
+    /// Sets the match_field_names of RecordBatchOptions and returns self
     pub fn with_match_field_names(mut self, match_field_names: bool) -> Self {
         self.match_field_names = match_field_names;
         self
@@ -1651,80 +1670,4 @@ mod tests {
             "bar"
         );
     }
-
-    #[test]
-    fn test_batch_with_unchecked_schema() {
-        fn apply_schema_unchecked(
-            record_batch: &RecordBatch,
-            schema_ref: SchemaRef,
-            idx: usize,
-        ) -> Option<ArrowError> {
-            record_batch
-                .clone()
-                .with_schema_unchecked(schema_ref)
-                .unwrap()
-                .project(&[idx])
-                .err()
-        }
-
-        let c: ArrayRef = Arc::new(StringArray::from(vec!["d", "e", "f"]));
-
-        let record_batch =
-            RecordBatch::try_from_iter(vec![("c", c.clone())]).expect("valid conversion");
-
-        // Test empty schema for non-empty schema batch
-        let invalid_schema_empty = Schema::empty();
-        assert_eq!(
-            apply_schema_unchecked(&record_batch, invalid_schema_empty.into(), 0)
-                .unwrap()
-                .to_string(),
-            "Schema error: project index 0 out of bounds, max field 0"
-        );
-
-        // Wrong number of columns
-        let invalid_schema_more_cols = Schema::new(vec![
-            Field::new("a", DataType::Utf8, false),
-            Field::new("b", DataType::Int32, false),
-        ]);
-
-        assert!(
-            apply_schema_unchecked(&record_batch, invalid_schema_more_cols.clone().into(), 0)
-                .is_none()
-        );
-
-        assert_eq!(
-            apply_schema_unchecked(&record_batch, invalid_schema_more_cols.into(), 1)
-                .unwrap()
-                .to_string(),
-            "Schema error: project index 1 out of bounds, max field 1"
-        );
-
-        // Wrong datatype
-        let invalid_schema_wrong_datatype =
-            Schema::new(vec![Field::new("a", DataType::Int32, false)]);
-        assert_eq!(apply_schema_unchecked(&record_batch, invalid_schema_wrong_datatype.into(), 0).unwrap().to_string(), "Invalid argument error: column types must match schema types, expected Int32 but found Utf8 at column index 0");
-
-        // Wrong column name. A instead C
-        let invalid_schema_wrong_col_name =
-            Schema::new(vec![Field::new("a", DataType::Utf8, false)]);
-
-        assert!(record_batch
-            .clone()
-            .with_schema_unchecked(invalid_schema_wrong_col_name.into())
-            .unwrap()
-            .column_by_name("c")
-            .is_none());
-
-        // Valid schema
-        let valid_schema = Schema::new(vec![Field::new("c", DataType::Utf8, false)]);
-
-        assert_eq!(
-            record_batch
-                .clone()
-                .with_schema_unchecked(valid_schema.into())
-                .unwrap()
-                .column_by_name("c"),
-            record_batch.column_by_name("c")
-        );
-    }
 }