ahmedabu98 commented on code in PR #24979:
URL: https://github.com/apache/beam/pull/24979#discussion_r1253219275
##########
sdks/python/apache_beam/io/gcp/bigquery.py:
##########
@@ -1515,11 +1526,41 @@ def process(self, element, *schema_side_inputs):
if not self.with_batched_input:
row_and_insert_id = element[1]
+ row_byte_size = get_deep_size(row_and_insert_id)
+
+ # send large rows that exceed BigQuery insert limits to DLQ
+ if row_byte_size >= self.max_insert_payload_size:
+ row_mb_size = row_byte_size / 1_000_000
+ max_mb_size = self.max_insert_payload_size / 1_000_000
+ error = (
+ f"Received row with size {row_mb_size}MB that exceeds "
+ f"the maximum insert payload size set ({max_mb_size}MB).")
+ return [
+ pvalue.TaggedOutput(
+ BigQueryWriteFn.FAILED_ROWS_WITH_ERRORS,
+ GlobalWindows.windowed_value(
+ (destination, row_and_insert_id[0], error))),
+ pvalue.TaggedOutput(
+ BigQueryWriteFn.FAILED_ROWS,
+ GlobalWindows.windowed_value(
+ (destination, row_and_insert_id[0])))
+ ]
+
+ buffer_byte_size_with_row = (
+ row_byte_size if not self._rows_buffer[destination] else
+ row_byte_size + get_deep_size(self._rows_buffer[destination]))
Review Comment:
Done, PTAL
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