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Workaround QuerySet.iterator() not handling large datasets #267

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Workaround QuerySet.iterator() not handling large datasets #267

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10 changes: 10 additions & 0 deletions mssql/functions.py
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Original file line number Diff line number Diff line change
Expand Up @@ -435,6 +435,15 @@ def sqlserver_sha512(self, compiler, connection, **extra_context):
)


def sqlserver_iterator(queryset, chunk_size=2000):
steps = int(queryset.count() / chunk_size + 1)
step = 0
while step < steps:
for obj in queryset[chunk_size * step : (step + 1) * chunk_size]:
yield obj
step += 1


# `as_microsoft` called by django.db.models.sql.compiler based on connection.vendor
ATan2.as_microsoft = sqlserver_atan2
# Need copy of old In.split_parameter_list_as_sql for other backends to call
Expand Down Expand Up @@ -475,3 +484,4 @@ def sqlserver_sha512(self, compiler, connection, **extra_context):

OrderBy.as_microsoft = sqlserver_orderby
QuerySet.bulk_update = bulk_update_with_default
QuerySet.iterator = sqlserver_iterator