Github user djalova commented on a diff in the pull request:

    https://github.com/apache/spark/pull/9186#discussion_r42782220
  
    --- Diff: python/pyspark/streaming/listener.py ---
    @@ -0,0 +1,75 @@
    +#
    +# 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"]
    +
    +
    +class StreamingListener(object):
    +
    +    def __init__(self):
    +        pass
    +
    +    # Called when a receiver has been started.
    +    def onReceiverStarted(self, receiverStarted):
    +        pass
    +
    +    # Called when a receiver has reported an error.
    +    def onReceiverError(self, receiverError):
    +        pass
    +
    +    # Called when a receiver has been stopped.
    +    def onReceiverStopped(self, receiverStopped):
    +        pass
    +
    +    # Called when a batch of jobs has been submitted for processing.
    +    def onBatchSubmitted(self, batchSubmitted):
    +        pass
    +
    +    # Called when processing of a batch of jobs has started.
    +    def onBatchStarted(self, batchStarted):
    +        pass
    +
    +    # Called when processing of a batch of jobs has completed.
    +    def onBatchCompleted(self, batchCompleted):
    +        pass
    +
    +    # Called when processing of a job of a batch has started.
    +    def onOutputOperationStarted(self, outputOperationStarted):
    +        pass
    +
    +    # Called when processing of a job of a batch has completed
    +    def onOutputOperationCompleted(self, outputOperationCompleted):
    +        pass
    +
    +    def getEventInfo(self, event):
    --- End diff --
    
    Would it be better to use this method to return instances of the Python 
friendly classes for these Scala objects?


---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at infrastruct...@apache.org or file a JIRA ticket
with INFRA.
---

---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org

Reply via email to