diff --git a/pipeline.py b/pipeline.py
index d636c2f..5ef3013 100644
--- a/pipeline.py
+++ b/pipeline.py
@@ -216,6 +216,15 @@ class Components :
 		#	let us fix the data types here every _id field will be an np.int64...
 		#
 		
+		schema = args['schema']
+		for item in schema :
+			if item.field_type == 'INTEGER' and df[item.name].dtype != np.int64:
+				df[item.name] = np.array(df[item.name].values,dtype=np.int64)
+			elif item.field_type == 'STRING' and df[item.name].dtype != object :
+				df[item.name] = np.array(df[item.name],dtype=object)
+		
+		
+		
 		# for name in df.columns.tolist():
 			
 		# 	if name.endswith('_id') :
@@ -243,7 +252,7 @@ class Components :
 		# performing basic analytics on the synthetic data generated (easy to quickly asses)
 		#
 		info = {"module":"generate","action":"io.metrics","input":{"rows":data_comp.shape[0],"partition":partition,"logs":[]}}
-		x = {}
+		
 		#
 		# @TODO: Send data over to a process for analytics
 		
@@ -267,10 +276,6 @@ class Components :
 			
 			_id = 'path'
 		else:
-			client      = bq.Client.from_service_account_json(args["private_key"])
-			full_schema = client.get_table(client.dataset(args['dataset']).table(args['from'])).schema
-			full_schema = [{'name':item.name,'type':item.field_type,'description':item.description} for item in full_schema]
-			io_schema = [{'name':item['name'],'type':item['type'],'description':item['description']} for item in full_schema if item['name'] in args['columns']]
 
 			credentials = service_account.Credentials.from_service_account_file('/home/steve/dev/aou/accounts/curation-prod.json')
 			_pname = os.sep.join([folder,table+'.csv'])
@@ -282,12 +287,8 @@ class Components :
 				print (_args['data'].head())
 			else:
 				Components.lock.acquire()
-				
-				data_comp.to_gbq(if_exists='append',destination_table=partial,credentials=credentials,chunksize=90000,table_schema=io_schema)	
-				
-				INSERT_FLAG = 'replace' if 'partition' not in args or 'segment' not in args else 'append'	
-				
-				_args['data'].to_gbq(if_exists='append',destination_table=complete,credentials=credentials,chunksize=90000,table_schema=full_schema)
+				data_comp.to_gbq(if_exists='append',destination_table=partial,credentials=credentials,chunksize=90000)	
+				_args['data'].to_gbq(if_exists='append',destination_table=complete,credentials=credentials,chunksize=90000)
 				Components.lock.release()
 			_id = 'dataset'
 		info = {"full":{_id:_fname,"rows":_args['data'].shape[0]},"partial":{"path":_pname,"rows":data_comp.shape[0]} }
@@ -340,11 +341,15 @@ if __name__ == '__main__' :
 	# if 'listen' not in SYS_ARGS :
 	if 'file' in args :
 		DATA = pd.read_csv(args['file']) ;
+		schema = []
 	else:
 		DATA = Components().get(args)
+		client      = bq.Client.from_service_account_json(args["private_key"])
+		schema = client.get_table(client.dataset(args['dataset']).table(args['from'])).schema
+
 	COLUMNS = DATA.columns
 	DATA = np.array_split(DATA,PART_SIZE)
-	
+	args['schema'] = schema
 	if 'generate' in SYS_ARGS :
 		#
 		# Let us see if we have partitions given the log folder