Source code for pyspark.streaming.listener
#
# 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.
#
__all__ = ["StreamingListener"]
[docs]class StreamingListener(object):
def __init__(self):
pass
[docs] def onReceiverStarted(self, receiverStarted):
"""
Called when a receiver has been started
"""
pass
[docs] def onReceiverError(self, receiverError):
"""
Called when a receiver has reported an error
"""
pass
[docs] def onReceiverStopped(self, receiverStopped):
"""
Called when a receiver has been stopped
"""
pass
[docs] def onBatchSubmitted(self, batchSubmitted):
"""
Called when a batch of jobs has been submitted for processing.
"""
pass
[docs] def onBatchStarted(self, batchStarted):
"""
Called when processing of a batch of jobs has started.
"""
pass
[docs] def onBatchCompleted(self, batchCompleted):
"""
Called when processing of a batch of jobs has completed.
"""
pass
[docs] def onOutputOperationStarted(self, outputOperationStarted):
"""
Called when processing of a job of a batch has started.
"""
pass
[docs] def onOutputOperationCompleted(self, outputOperationCompleted):
"""
Called when processing of a job of a batch has completed
"""
pass
[docs] class Java:
implements = ["org.apache.spark.streaming.api.java.PythonStreamingListener"]