chore(tests): prefer bytes for mutation fields

Author: daniel-sanche

samples/hello/async_main.py

@@ -57,7 +57,7 @@ async def main(project_id, instance_id, table_id):
     # Create a column family with GC policy : most recent N versions
     # Define the GC policy to retain only the most recent 2 versions
     max_versions_rule = column_family.MaxVersionsGCRule(2)
-    column_family_id = "cf1"
+    column_family_id = b"cf1"
     column_families = {column_family_id: max_versions_rule}
     if not admin_table.exists():
         admin_table.create(column_families=column_families)
@@ -70,9 +70,9 @@ async def main(project_id, instance_id, table_id):
         wait_for_table(admin_table)
         # [START bigtable_async_hw_write_rows]
         print("Writing some greetings to the table.")
-        greetings = ["Hello World!", "Hello Cloud Bigtable!", "Hello Python!"]
+        greetings = [b"Hello World!", b"Hello Cloud Bigtable!", b"Hello Python!"]
         mutations = []
-        column = "greeting"
+        column = b"greeting"
         for i, value in enumerate(greetings):
             # Note: This example uses sequential numeric IDs for simplicity,
             # but this can result in poor performance in a production
@@ -84,7 +84,7 @@ async def main(project_id, instance_id, table_id):
             # the best performance, see the documentation:
             #
             #     https://cloud.google.com/bigtable/docs/schema-design
-            row_key = "greeting{}".format(i).encode()
+            row_key = f"greeting{i}".encode()
             row_mutation = bigtable.data.RowMutationEntry(
                 row_key, bigtable.data.SetCell(column_family_id, column, value)
             )

samples/hello/main.py

@@ -71,9 +71,9 @@ def main(project_id, instance_id, table_id):
 
         # [START bigtable_hw_write_rows]
         print("Writing some greetings to the table.")
-        greetings = ["Hello World!", "Hello Cloud Bigtable!", "Hello Python!"]
+        greetings = [b"Hello World!", b"Hello Cloud Bigtable!", b"Hello Python!"]
         rows = []
-        column = "greeting".encode()
+        column = b"greeting"
         for i, value in enumerate(greetings):
             # Note: This example uses sequential numeric IDs for simplicity,
             # but this can result in poor performance in a production
@@ -85,10 +85,10 @@ def main(project_id, instance_id, table_id):
             # the best performance, see the documentation:
             #
             #     https://cloud.google.com/bigtable/docs/schema-design
-            row_key = "greeting{}".format(i).encode()
+            row_key = f"greeting{i}".encode()
             row = table.direct_row(row_key)
             row.set_cell(
-                column_family_id, column, value, timestamp=datetime.datetime.utcnow()
+                column_family_id.encode(), column, value, timestamp=datetime.datetime.utcnow(),
             )
             rows.append(row)
         table.mutate_rows(rows)
@@ -103,7 +103,7 @@ def main(project_id, instance_id, table_id):
         # [START bigtable_hw_get_with_filter]
         # [START bigtable_hw_get_by_key]
         print("Getting a single greeting by row key.")
-        key = "greeting0".encode()
+        key = b"greeting0"
 
         row = table.read_row(key, row_filter)
         cell = row.cells[column_family_id][column][0]