Github user zsxwing commented on a diff in the pull request:
https://github.com/apache/spark/pull/9186#discussion_r43078141
--- Diff: python/pyspark/streaming/listener.py ---
@@ -0,0 +1,285 @@
+#
+# 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 StreamingListenerEvent(object):
+
+ def __init__(self):
+ pass
+
+
+class StreamingListenerBatchSubmitted(StreamingListenerEvent):
+
+ def __init__(self, batchInfo):
+ super(StreamingListenerEvent, self).__init__()
+ self.batchInfo = batchInfo
+
+
+class StreamingListenerBatchCompleted(StreamingListenerEvent):
+
+ def __init__(self, batchInfo):
+ super(StreamingListenerEvent, self).__init__()
+ self.batchInfo = batchInfo
+
+
+class StreamingListenerBatchStarted(StreamingListenerEvent):
+
+ def __init__(self, batchInfo):
+ super(StreamingListenerEvent, self).__init__()
+ self.batchInfo = batchInfo
+
+
+class StreamingListenerOutputOperationStarted(StreamingListenerEvent):
+
+ def __init__(self, outputOperationInfo):
+ super(StreamingListenerEvent, self).__init__()
+ self.outputOperationInfo = outputOperationInfo
+
+
+class StreamingListenerOutputOperationCompleted(StreamingListenerEvent):
+
+ def __init__(self, outputOperationInfo):
+ super(StreamingListenerEvent, self).__init__()
+ self.outputOperationInfo = outputOperationInfo
+
+
+class StreamingListenerReceieverStarted(StreamingListenerEvent):
+
+ def __init__(self, receiverInfo):
+ super(StreamingListenerEvent, self).__init__()
+ self.receiverInfo = receiverInfo
+
+
+class StreamingListenerReceiverError(StreamingListenerEvent):
+
+ def __init__(self, receiverInfo):
+ super(StreamingListenerEvent, self).__init__()
+ self.receiverInfo = receiverInfo
+
+
+class StreamingListenerReceiverStopped(StreamingListenerEvent):
+
+ def __init__(self, receiverInfo):
+ super(StreamingListenerEvent, self).__init__()
+ self.receiverInfo = receiverInfo
+
+
+class StreamingListener(object):
+
+ def __init__(self):
+ pass
+
+ def onReceiverStarted(self, receiverStarted):
+ """
+ Called when a receiver has been started
+ """
+ pass
+
+ def onReceiverError(self, receiverError):
+ """
+ Called when a receiver has reported an error
+ """
+ pass
+
+ def onReceiverStopped(self, receiverStopped):
+ """
+ Called when a receiver has been stopped
+ """
+ pass
+
+ def onBatchSubmitted(self, batchSubmitted):
+ """
+ Called when a batch of jobs has been submitted for processing.
+ """
+ pass
+
+ def onBatchStarted(self, batchStarted):
+ """
+ Called when processing of a batch of jobs has started.
+ """
+ pass
+
+ def onBatchCompleted(self, batchCompleted):
+ """
+ Called when processing of a batch of jobs has completed.
+ """
+ pass
+
+ def onOutputOperationStarted(self, outputOperationStarted):
+ """
+ Called when processing of a job of a batch has started.
+ """
+ pass
+
+ def onOutputOperationCompleted(self, outputOperationCompleted):
+ """
+ Called when processing of a job of a batch has completed
+ """
+ pass
+
+ class Java:
+ implements =
["org.apache.spark.streaming.scheduler.StreamingListener"]
+
+
+class StreamingListenerAdapter(StreamingListener):
+
+ def __init__(self, streamingListener):
+ super(StreamingListener, self).__init__()
+ self.userStreamingListener = streamingListener
+
+ def onReceiverStarted(self, receiverStarted):
+ receiver_info = ReceiverInfo(receiverStarted.receiverInfo())
+ receiver_started = StreamingListenerReceieverStarted(receiver_info)
+ self.userStreamingListener.onReceiverStarted(receiver_started)
+
+ def onReceiverError(self, receiverError):
+ receiver_info = ReceiverInfo(receiverError.receiverInfo())
+ receiver_error = StreamingListenerReceiverError(receiver_info)
+ self.userStreamingListener.onReceiverError(receiver_error)
+
+ def onReceiverStopped(self, receiverStopped):
+ receiver_info = ReceiverInfo(receiverStopped.receiverInfo())
+ receiver_stopped = StreamingListenerReceiverStopped(receiver_info)
+ self.userStreamingListener.onReceiverStopped(receiver_stopped)
+
+ def onBatchSubmitted(self, batchSubmitted):
+ batch_info = BatchInfo(batchSubmitted.batchInfo())
+ batch_submitted = StreamingListenerBatchSubmitted(batch_info)
+ self.userStreamingListener.onBatchSubmitted(batch_submitted)
+
+ def onBatchStarted(self, batchStarted):
+ batch_info = BatchInfo(batchStarted.batchInfo())
+ batch_started = StreamingListenerBatchStarted(batch_info)
+ self.userStreamingListener .onBatchStarted(batch_started)
--- End diff --
nit: redundant space
---
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 [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
