diff --git a/datafusion/core/tests/dataframe/mod.rs b/datafusion/core/tests/dataframe/mod.rs
index 19d5ecb842297..6512d9b432597 100644
--- a/datafusion/core/tests/dataframe/mod.rs
+++ b/datafusion/core/tests/dataframe/mod.rs
@@ -840,7 +840,7 @@ async fn test_aggregate_with_pk() -> Result<()> {
     let aggr_expr = vec![];
     let df = df.aggregate(group_expr, aggr_expr)?;
 
-    // Since id and name are functionally dependant, we can use name among
+    // Since id and name are functionally dependent, we can use name among
     // expression even if it is not part of the group by expression and can
     // select "name" column even though it wasn't explicitly grouped
     let df = df.select(vec![col("id"), col("name")])?;
@@ -895,7 +895,7 @@ async fn test_aggregate_with_pk2() -> Result<()> {
     "
     );
 
-    // Since id and name are functionally dependant, we can use name among expression
+    // Since id and name are functionally dependent, we can use name among expression
     // even if it is not part of the group by expression.
     let df_results = df.collect().await?;
 
@@ -943,7 +943,7 @@ async fn test_aggregate_with_pk3() -> Result<()> {
     "
     );
 
-    // Since id and name are functionally dependant, we can use name among expression
+    // Since id and name are functionally dependent, we can use name among expression
     // even if it is not part of the group by expression.
     let df_results = df.collect().await?;
 
diff --git a/datafusion/physical-plan/src/aggregates/group_values/multi_group_by/mod.rs b/datafusion/physical-plan/src/aggregates/group_values/multi_group_by/mod.rs
index 12d80b1f9bad1..cf2d4f49aea43 100644
--- a/datafusion/physical-plan/src/aggregates/group_values/multi_group_by/mod.rs
+++ b/datafusion/physical-plan/src/aggregates/group_values/multi_group_by/mod.rs
@@ -734,7 +734,7 @@ impl<const STREAMING: bool> GroupValuesColumn<STREAMING> {
     ///
     /// The hash collision may be not frequent, so the fallback will indeed hardly happen.
     /// In most situations, `scalarized_indices` will found to be empty after finishing to
-    /// preform `vectorized_equal_to`.
+    /// perform `vectorized_equal_to`.
     fn scalarized_intern_remaining(
         &mut self,
         cols: &[ArrayRef],