diff --git a/crates/deltalake-core/src/delta_datafusion/mod.rs b/crates/deltalake-core/src/delta_datafusion/mod.rs
index 125cf327f7..7fbe362afc 100644
--- a/crates/deltalake-core/src/delta_datafusion/mod.rs
+++ b/crates/deltalake-core/src/delta_datafusion/mod.rs
@@ -586,8 +586,14 @@ impl<'a> DeltaScanBuilder<'a> {
         // However we may want to do some additional balancing in case we are far off from the above.
         let mut file_groups: HashMap<Vec<ScalarValue>, Vec<PartitionedFile>> = HashMap::new();
 
+        let table_partition_cols = &self
+            .snapshot
+            .current_metadata()
+            .ok_or(DeltaTableError::NoMetadata)?
+            .partition_columns;
+
         for action in files.iter() {
-            let mut part = partitioned_file_from_action(action, &schema);
+            let mut part = partitioned_file_from_action(action, table_partition_cols, &schema);
 
             if config.file_column_name.is_some() {
                 part.partition_values
@@ -602,13 +608,6 @@ impl<'a> DeltaScanBuilder<'a> {
                 .push(part);
         }
 
-        let table_partition_cols = self
-            .snapshot
-            .current_metadata()
-            .ok_or(DeltaTableError::NoMetadata)?
-            .partition_columns
-            .clone();
-
         let file_schema = Arc::new(ArrowSchema::new(
             schema
                 .fields()
@@ -923,20 +922,30 @@ pub(crate) fn get_null_of_arrow_type(t: &ArrowDataType) -> DeltaResult<ScalarVal
 
 pub(crate) fn partitioned_file_from_action(
     action: &protocol::Add,
+    partition_columns: &[String],
     schema: &ArrowSchema,
 ) -> PartitionedFile {
-    let partition_values = schema
-        .fields()
+    let partition_values = partition_columns
         .iter()
-        .filter_map(|f| {
-            action.partition_values.get(f.name()).map(|val| match val {
-                Some(value) => to_correct_scalar_value(
-                    &serde_json::Value::String(value.to_string()),
-                    f.data_type(),
-                )
-                .unwrap_or(ScalarValue::Null),
-                None => get_null_of_arrow_type(f.data_type()).unwrap_or(ScalarValue::Null),
-            })
+        .map(|part| {
+            action
+                .partition_values
+                .get(part)
+                .map(|val| {
+                    schema
+                        .field_with_name(part)
+                        .map(|field| match val {
+                            Some(value) => to_correct_scalar_value(
+                                &serde_json::Value::String(value.to_string()),
+                                field.data_type(),
+                            )
+                            .unwrap_or(ScalarValue::Null),
+                            None => get_null_of_arrow_type(field.data_type())
+                                .unwrap_or(ScalarValue::Null),
+                        })
+                        .unwrap_or(ScalarValue::Null)
+                })
+                .unwrap_or(ScalarValue::Null)
         })
         .collect::<Vec<_>>();
 
@@ -1618,6 +1627,7 @@ pub async fn find_files<'a>(
 
 #[cfg(test)]
 mod tests {
+    use crate::writer::test_utils::get_delta_schema;
     use arrow::array::StructArray;
     use arrow::datatypes::{DataType, Field, Schema};
     use chrono::{TimeZone, Utc};
@@ -1797,7 +1807,8 @@ mod tests {
             Field::new("month", ArrowDataType::Int64, true),
         ]);
 
-        let file = partitioned_file_from_action(&action, &schema);
+        let part_columns = vec!["year".to_string(), "month".to_string()];
+        let file = partitioned_file_from_action(&action, &part_columns, &schema);
         let ref_file = PartitionedFile {
             object_meta: object_store::ObjectMeta {
                 location: Path::from("year=2015/month=1/part-00000-4dcb50d3-d017-450c-9df7-a7257dbd3c5d-c000.snappy.parquet".to_string()), 
@@ -1929,4 +1940,64 @@ mod tests {
             ];
         assert_batches_sorted_eq!(&expected, &actual);
     }
+
+    #[tokio::test]
+    async fn delta_scan_mixed_partition_order() {
+        // Tests issue (1787) where partition columns were incorrect when they
+        // have a different order in the metadata and table schema
+        let schema = Arc::new(ArrowSchema::new(vec![
+            Field::new("modified", DataType::Utf8, true),
+            Field::new("id", DataType::Utf8, true),
+            Field::new("value", DataType::Int32, true),
+        ]));
+
+        let table = crate::DeltaOps::new_in_memory()
+            .create()
+            .with_columns(get_delta_schema().get_fields().clone())
+            .with_partition_columns(["modified", "id"])
+            .await
+            .unwrap();
+        assert_eq!(table.version(), 0);
+
+        let batch = RecordBatch::try_new(
+            schema.clone(),
+            vec![
+                Arc::new(arrow::array::StringArray::from(vec![
+                    "2021-02-01",
+                    "2021-02-01",
+                    "2021-02-02",
+                    "2021-02-02",
+                ])),
+                Arc::new(arrow::array::StringArray::from(vec!["A", "B", "C", "D"])),
+                Arc::new(arrow::array::Int32Array::from(vec![1, 10, 20, 100])),
+            ],
+        )
+        .unwrap();
+        // write some data
+        let table = crate::DeltaOps(table)
+            .write(vec![batch.clone()])
+            .with_save_mode(crate::protocol::SaveMode::Append)
+            .await
+            .unwrap();
+
+        let config = DeltaScanConfigBuilder::new().build(&table.state).unwrap();
+
+        let provider = DeltaTableProvider::try_new(table.state, table.storage, config).unwrap();
+        let ctx = SessionContext::new();
+        ctx.register_table("test", Arc::new(provider)).unwrap();
+
+        let df = ctx.sql("select * from test").await.unwrap();
+        let actual = df.collect().await.unwrap();
+        let expected = vec![
+            "+-------+------------+----+",
+            "| value | modified   | id |",
+            "+-------+------------+----+",
+            "| 1     | 2021-02-01 | A  |",
+            "| 10    | 2021-02-01 | B  |",
+            "| 100   | 2021-02-02 | D  |",
+            "| 20    | 2021-02-02 | C  |",
+            "+-------+------------+----+",
+        ];
+        assert_batches_sorted_eq!(&expected, &actual);
+    }
 }