diff --git a/datafusion/core/src/execution/context/mod.rs b/datafusion/core/src/execution/context/mod.rs
index d523c39ee01e..9c500ec07293 100644
--- a/datafusion/core/src/execution/context/mod.rs
+++ b/datafusion/core/src/execution/context/mod.rs
@@ -849,6 +849,23 @@ impl SessionContext {
         let table_paths = table_paths.to_urls()?;
         let session_config = self.copied_config();
         let listing_options = options.to_listing_options(&session_config);
+
+        let option_extension = listing_options.file_extension.clone();
+
+        if table_paths.is_empty() {
+            return exec_err!("No table paths were provided");
+        }
+
+        // check if the file extension matches the expected extension
+        for path in &table_paths {
+            let file_name = path.prefix().filename().unwrap_or_default();
+            if !path.as_str().ends_with(&option_extension) && file_name.contains('.') {
+                return exec_err!(
+                    "File '{file_name}' does not match the expected extension '{option_extension}'"
+                );
+            }
+        }
+
         let resolved_schema = options
             .get_resolved_schema(&session_config, self.state(), table_paths[0].clone())
             .await?;
diff --git a/datafusion/core/src/execution/context/parquet.rs b/datafusion/core/src/execution/context/parquet.rs
index dc202b9903f5..ef1f0143543d 100644
--- a/datafusion/core/src/execution/context/parquet.rs
+++ b/datafusion/core/src/execution/context/parquet.rs
@@ -74,6 +74,11 @@ impl SessionContext {
 mod tests {
     use async_trait::async_trait;
 
+    use crate::arrow::array::{Float32Array, Int32Array};
+    use crate::arrow::datatypes::{DataType, Field, Schema};
+    use crate::arrow::record_batch::RecordBatch;
+    use crate::dataframe::DataFrameWriteOptions;
+    use crate::parquet::basic::Compression;
     use crate::test_util::parquet_test_data;
 
     use super::*;
@@ -132,6 +137,124 @@ mod tests {
         Ok(())
     }
 
+    #[tokio::test]
+    async fn read_from_different_file_extension() -> Result<()> {
+        let ctx = SessionContext::new();
+
+        // Make up a new dataframe.
+        let write_df = ctx.read_batch(RecordBatch::try_new(
+            Arc::new(Schema::new(vec![
+                Field::new("purchase_id", DataType::Int32, false),
+                Field::new("price", DataType::Float32, false),
+                Field::new("quantity", DataType::Int32, false),
+            ])),
+            vec![
+                Arc::new(Int32Array::from(vec![1, 2, 3, 4, 5])),
+                Arc::new(Float32Array::from(vec![1.12, 3.40, 2.33, 9.10, 6.66])),
+                Arc::new(Int32Array::from(vec![1, 3, 2, 4, 3])),
+            ],
+        )?)?;
+
+        // Write the dataframe to a parquet file named 'output1.parquet'
+        write_df
+            .clone()
+            .write_parquet(
+                "output1.parquet",
+                DataFrameWriteOptions::new().with_single_file_output(true),
+                Some(
+                    WriterProperties::builder()
+                        .set_compression(Compression::SNAPPY)
+                        .build(),
+                ),
+            )
+            .await?;
+
+        // Write the dataframe to a parquet file named 'output2.parquet.snappy'
+        write_df
+            .clone()
+            .write_parquet(
+                "output2.parquet.snappy",
+                DataFrameWriteOptions::new().with_single_file_output(true),
+                Some(
+                    WriterProperties::builder()
+                        .set_compression(Compression::SNAPPY)
+                        .build(),
+                ),
+            )
+            .await?;
+
+        // Write the dataframe to a parquet file named 'output3.parquet.snappy.parquet'
+        write_df
+            .write_parquet(
+                "output3.parquet.snappy.parquet",
+                DataFrameWriteOptions::new().with_single_file_output(true),
+                Some(
+                    WriterProperties::builder()
+                        .set_compression(Compression::SNAPPY)
+                        .build(),
+                ),
+            )
+            .await?;
+
+        // Read the dataframe from 'output1.parquet' with the default file extension.
+        let read_df = ctx
+            .read_parquet(
+                "output1.parquet",
+                ParquetReadOptions {
+                    ..Default::default()
+                },
+            )
+            .await?;
+
+        let results = read_df.collect().await?;
+        let total_rows: usize = results.iter().map(|rb| rb.num_rows()).sum();
+        assert_eq!(total_rows, 5);
+
+        // Read the dataframe from 'output2.parquet.snappy' with the correct file extension.
+        let read_df = ctx
+            .read_parquet(
+                "output2.parquet.snappy",
+                ParquetReadOptions {
+                    file_extension: "snappy",
+                    ..Default::default()
+                },
+            )
+            .await?;
+        let results = read_df.collect().await?;
+        let total_rows: usize = results.iter().map(|rb| rb.num_rows()).sum();
+        assert_eq!(total_rows, 5);
+
+        // Read the dataframe from 'output3.parquet.snappy.parquet' with the wrong file extension.
+        let read_df = ctx
+            .read_parquet(
+                "output2.parquet.snappy",
+                ParquetReadOptions {
+                    ..Default::default()
+                },
+            )
+            .await;
+
+        assert_eq!(
+            read_df.unwrap_err().strip_backtrace(),
+            "Execution error: File 'output2.parquet.snappy' does not match the expected extension '.parquet'"
+        );
+
+        // Read the dataframe from 'output3.parquet.snappy.parquet' with the correct file extension.
+        let read_df = ctx
+            .read_parquet(
+                "output3.parquet.snappy.parquet",
+                ParquetReadOptions {
+                    ..Default::default()
+                },
+            )
+            .await?;
+
+        let results = read_df.collect().await?;
+        let total_rows: usize = results.iter().map(|rb| rb.num_rows()).sum();
+        assert_eq!(total_rows, 5);
+        Ok(())
+    }
+
     // Test for compilation error when calling read_* functions from an #[async_trait] function.
     // See https://github.com/apache/arrow-datafusion/issues/1154
     #[async_trait]