diff --git a/datafusion/core/src/physical_optimizer/repartition.rs b/datafusion/core/src/physical_optimizer/repartition.rs
index e7c72398fd09..1b52e4e27468 100644
--- a/datafusion/core/src/physical_optimizer/repartition.rs
+++ b/datafusion/core/src/physical_optimizer/repartition.rs
@@ -231,7 +231,7 @@ fn optimize_partitions(
             && stats.num_rows.map(|num_rows| num_rows > 1).unwrap_or(true);
     }
 
-    // don't reparititon root of the plan
+    // don't repartition root of the plan
     if is_root {
         could_repartition = false;
     }
diff --git a/datafusion/core/src/physical_plan/file_format/mod.rs b/datafusion/core/src/physical_plan/file_format/mod.rs
index 95533a930cde..aa0f79ced7bf 100644
--- a/datafusion/core/src/physical_plan/file_format/mod.rs
+++ b/datafusion/core/src/physical_plan/file_format/mod.rs
@@ -701,7 +701,7 @@ impl From<ObjectMeta> for FileMeta {
 /// run against 1000s of files and not try to open them all
 /// concurrently.
 ///
-/// However, it means if we assign more than one file to a partitition
+/// However, it means if we assign more than one file to a partition
 /// the output sort order will not be preserved as illustrated in the
 /// following diagrams:
 ///
diff --git a/docs/source/contributor-guide/quarterly_roadmap.md b/docs/source/contributor-guide/quarterly_roadmap.md
index c593e859d731..77b22852bf50 100644
--- a/docs/source/contributor-guide/quarterly_roadmap.md
+++ b/docs/source/contributor-guide/quarterly_roadmap.md
@@ -60,7 +60,7 @@ A quarterly roadmap will be published to give the DataFusion community visibilit
 - Support for multi-scheduler deployments. Initially for resiliency and fault tolerance but ultimately to support sharding for scalability and more efficient caching.
 - Executor deployment grouping based on resource allocation
 
-### Extensions ([datafusion-contrib](https://github.com/datafusion-contrib]))
+### Extensions ([datafusion-contrib](https://github.com/datafusion-contrib))
 
 #### [DataFusion-Python](https://github.com/datafusion-contrib/datafusion-python)