hi @Nancy_Viviana_Espino !!
What is the batch configuration you are using?
We suggest using something like this as a base, and start tweaking the batch size and concurrent requests according to the resources you have for you cluster:
with movies.batch.fixed_size(batch_size=20, concurrent_requests=2) as batch:
for i, row in df.iterrows():
obj_body = {
c: row[c] for c in data_columns
}
batch.add_object(
properties=obj_body
)
Let me know if this helps.
Thanks!