llama90
diff --git a/‎datafusion/input/location.py
Lines changed: 5 additions & 5 deletions b/‎datafusion/input/location.py
Lines changed: 5 additions & 5 deletions
diff --git a/‎datafusion/tests/test_input.py
Lines changed: 1 addition & 1 deletion b/‎datafusion/tests/test_input.py
Lines changed: 1 addition & 1 deletion
diff --git a/‎src/common/schema.rs
Lines changed: 8 additions & 8 deletions b/‎src/common/schema.rs
Lines changed: 8 additions & 8 deletions
@@ -16,6 +16,7 @@
 # under the License.
 
 import os
+import glob
 from typing import Any
 
 from datafusion.common import DataTypeMap, SqlTable
@@ -41,14 +42,12 @@ def build_table(
         format = extension.lstrip(".").lower()
         num_rows = 0  # Total number of rows in the file. Used for statistics
         columns = []
-
         if format == "parquet":
             import pyarrow.parquet as pq
 
             # Read the Parquet metadata
             metadata = pq.read_metadata(input_file)
             num_rows = metadata.num_rows
-
             # Iterate through the schema and build the SqlTable
             for col in metadata.schema:
                 columns.append(
@@ -57,7 +56,6 @@ def build_table(
                         DataTypeMap.from_parquet_type_str(col.physical_type),
                     )
                 )
-
         elif format == "csv":
             import csv
 
@@ -73,7 +71,6 @@ def build_table(
                 print(header_row)
                 for _ in reader:
                     num_rows += 1
-
             # TODO: Need to actually consume this row into resonable columns
             raise RuntimeError(
                 "TODO: Currently unable to support CSV input files."
@@ -84,4 +81,7 @@ def build_table(
                 Only Parquet and CSV."
             )
 
-        return SqlTable(table_name, columns, num_rows, input_file)
+        # Input could possibly be multiple files. Create a list if so
+        input_files = glob.glob(input_file)
+
+        return SqlTable(table_name, columns, num_rows, input_files)
@@ -30,4 +30,4 @@ def test_location_input():
     tbl = location_input.build_table(input_file, table_name)
     assert "blog" == tbl.name
     assert 3 == len(tbl.columns)
-    assert "blogs.parquet" in tbl.filepath
+    assert "blogs.parquet" in tbl.filepaths[0]
@@ -56,7 +56,7 @@ pub struct SqlTable {
     #[pyo3(get, set)]
     pub statistics: SqlStatistics,
     #[pyo3(get, set)]
-    pub filepath: Option<String>,
+    pub filepaths: Option<Vec<String>>,
 }
 
 #[pymethods]
@@ -66,7 +66,7 @@ impl SqlTable {
         table_name: String,
         columns: Vec<(String, DataTypeMap)>,
         row_count: f64,
-        filepath: Option<String>,
+        filepaths: Option<Vec<String>>,
     ) -> Self {
         Self {
             name: table_name,
@@ -76,7 +76,7 @@ impl SqlTable {
             indexes: Vec::new(),
             constraints: Vec::new(),
             statistics: SqlStatistics::new(row_count),
-            filepath,
+            filepaths,
         }
     }
 }
@@ -124,20 +124,20 @@ impl SqlSchema {
 pub struct SqlTableSource {
     schema: SchemaRef,
     statistics: Option<SqlStatistics>,
-    filepath: Option<String>,
+    filepaths: Option<Vec<String>>,
 }
 
 impl SqlTableSource {
     /// Initialize a new `EmptyTable` from a schema
     pub fn new(
         schema: SchemaRef,
         statistics: Option<SqlStatistics>,
-        filepath: Option<String>,
+        filepaths: Option<Vec<String>>,
     ) -> Self {
         Self {
             schema,
             statistics,
-            filepath,
+            filepaths,
         }
     }
 
@@ -148,8 +148,8 @@ impl SqlTableSource {
 
     /// Access optional filepath associated with this table source
     #[allow(dead_code)]
-    pub fn filepath(&self) -> Option<&String> {
-        self.filepath.as_ref()
+    pub fn filepaths(&self) -> Option<&Vec<String>> {
+        self.filepaths.as_ref()
     }
 }