Fix limits to 150,000

Author: Kevin Kim

labelbox/schema/dataset.py

@@ -23,8 +23,7 @@
 
 logger = logging.getLogger(__name__)
 
-MAX_DATAROW_PER_API_OPERATION = 1000000
-MAX_DATAROW_WITH_METADATA = 1000000
+MAX_DATAROW_PER_API_OPERATION = 150_000
 
 
 class Dataset(DbObject, Updateable, Deletable):
@@ -426,15 +425,6 @@ def convert_item(item):
                 f"Cannot create more than {MAX_DATAROW_PER_API_OPERATION} DataRows per function call."
             )
 
-        # TODO: If any datarows contain metadata, we're limiting max # of datarows
-        # until we address performance issues with datarow create with metadata
-        if len(items) > MAX_DATAROW_WITH_METADATA:
-            for row in items:
-                if 'metadata_fields' in row:
-                    raise MalformedQueryException(
-                        f"Cannot create more than {MAX_DATAROW_WITH_METADATA} DataRows, if any DataRows contain metadata"
-                    )
-
         with ThreadPoolExecutor(file_upload_thread_count) as executor:
             futures = [executor.submit(convert_item, item) for item in items]
             items = [future.result() for future in as_completed(futures)]