shunping commented on code in PR #31584:
URL: https://github.com/apache/beam/pull/31584#discussion_r1640594403


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sdks/python/apache_beam/io/gcp/gcsio_retry.py:
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@@ -0,0 +1,72 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements.  See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License.  You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+"""
+Throttling Handler for GCSIO
+"""
+
+import logging
+import math
+import random
+import time
+
+from google.api_core import exceptions as api_exceptions
+from google.api_core import retry
+from google.cloud.storage.retry import DEFAULT_RETRY
+from google.cloud.storage.retry import _should_retry  # pylint: 
disable=protected-access
+
+from apache_beam.metrics.metric import Metrics
+from apache_beam.options.pipeline_options import GoogleCloudOptions
+
+_LOGGER = logging.getLogger(__name__)
+
+__all__ = ['DEFAULT_RETRY_WITH_THROTTLING_COUNTERS']
+
+
+class ThrottlingHandler(object):
+  _THROTTLED_SECS = Metrics.counter('gcsio', "cumulativeThrottlingSeconds")
+
+  def __init__(self, max_retries=10, max_retry_wait=600):
+    self._max_retries = max_retries
+    self._max_retry_wait = max_retry_wait
+    self._num_retries = 0
+    self._total_retry_wait = 0
+
+  def _get_next_wait_time(self):
+    wait_time = 2**self._num_retries
+    max_jitter = wait_time / 4.0
+    wait_time += random.uniform(-max_jitter, max_jitter)
+    return max(1, min(wait_time, self._max_retry_wait))
+
+  def __call__(self, exc):
+    if isinstance(exc, api_exceptions.TooManyRequests):
+      _LOGGER.debug('Caught GCS quota error (%s), retrying.', exc.reason)
+      self._num_retries += 1
+      sleep_seconds = self._get_next_wait_time()
+      ThrottlingHandler._THROTTLED_SECS.inc(math.ceil(sleep_seconds))
+      time.sleep(sleep_seconds)
+
+
+DEFAULT_RETRY_WITH_THROTTLING_COUNTERS = retry.Retry(
+    predicate=_should_retry, on_error=ThrottlingHandler())
+
+
+def get_retry(pipeline_options):

Review Comment:
   I see.
   
   I think the feature flag could be useful here, because users may find 
performance regression and would like to go back to the previous code path 
where there are throttling counters. 



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