[jira] [Commented] (SPARK-31795) Stream Data with API to ServiceNow
[
https://issues.apache.org/jira/browse/SPARK-31795?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17117480#comment-17117480
]
Hyukjin Kwon commented on SPARK-31795:
--
Please take a look for https://spark.apache.org/community.html
> Stream Data with API to ServiceNow
> --
>
> Key: SPARK-31795
> URL: https://issues.apache.org/jira/browse/SPARK-31795
> Project: Spark
> Issue Type: Question
> Components: DStreams
>Affects Versions: 2.4.5
>Reporter: Dominic Wetenkamp
>Priority: Major
>
> 1) Create class
> 2) Instantiate class
> 3) Setup stream
> 4) Write stream. Here do I get a pickeling error, I really don't know how to
> get it work without error.
>
>
> class CMDB:
> #Public Properties
> @property
> def streamDF(self):
> return spark.readStream.table(self.__source_table)
>
> #Constructor
> def __init__(self, destination_table, source_table):
> self.__destination_table = destination_table
> self.__source_table = source_table
> #Private Methodes
> def __processRow(self, row):
> #API connection info
> url = 'https://foo.service-now.com/api/now/table/' +
> self.__destination_table + '?sysparm_display_value=true'
> user = 'username'
> password = 'psw'
>
> headers = \{"Content-Type":"application/json","Accept":"application/json"}
> response = requests.post(url, auth=(user, password), headers=headers, data =
> json.dumps(row.asDict()))
>
> return response
> #Public Methodes
> def uploadStreamDF(self, df):
> return df.writeStream.foreach(self.__processRow).trigger(once=True).start()
>
>
>
> cmdb = CMDB('destination_table_name','source_table_name')
> streamDF = (cmdb.streamDF
> .withColumn('object_id',col('source_column_id'))
> .withColumn('name',col('source_column_name'))
> ).select('object_id','name')
> #set stream works, able to display data
> cmdb.uploadStreamDF(streamDF)
> #cmdb.uploadStreamDF(streamDF) fails with error: PicklingError: Could not
> serialize object: Exception: It appears that you are attempting to reference
> SparkContext from a broadcast variable, action, or transformation.
> SparkContext can only be used on the driver, not in code that it run on
> workers. For more information, see SPARK-5063. See exception below:
> '''
> Exception Traceback (most recent call last)
> /databricks/spark/python/pyspark/serializers.py in dumps(self, obj)
> 704 try:
> --> 705 return cloudpickle.dumps(obj, 2)
> 706 except pickle.PickleError:
> /databricks/spark/python/pyspark/cloudpickle.py in dumps(obj, protocol)
> 862 cp = CloudPickler(file,protocol)
> --> 863 cp.dump(obj)
> 864 return file.getvalue()
> /databricks/spark/python/pyspark/cloudpickle.py in dump(self, obj)
> 259 try:
> --> 260 return Pickler.dump(self, obj)
> 261 except RuntimeError as e:
> /databricks/python/lib/python3.7/pickle.py in dump(self, obj)
> 436 self.framer.start_framing()
> --> 437 self.save(obj)
> 438 self.write(STOP)
> '''
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[jira] [Commented] (SPARK-31795) Stream Data with API to ServiceNow
[
https://issues.apache.org/jira/browse/SPARK-31795?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17117465#comment-17117465
]
Dominic Wetenkamp commented on SPARK-31795:
---
hello Hyukjin Kwon,
Where can I get an answer or some support I don't understand what you mean with
"mailing list"
> Stream Data with API to ServiceNow
> --
>
> Key: SPARK-31795
> URL: https://issues.apache.org/jira/browse/SPARK-31795
> Project: Spark
> Issue Type: Question
> Components: DStreams
>Affects Versions: 2.4.5
>Reporter: Dominic Wetenkamp
>Priority: Major
>
> 1) Create class
> 2) Instantiate class
> 3) Setup stream
> 4) Write stream. Here do I get a pickeling error, I really don't know how to
> get it work without error.
>
>
> class CMDB:
> #Public Properties
> @property
> def streamDF(self):
> return spark.readStream.table(self.__source_table)
>
> #Constructor
> def __init__(self, destination_table, source_table):
> self.__destination_table = destination_table
> self.__source_table = source_table
> #Private Methodes
> def __processRow(self, row):
> #API connection info
> url = 'https://foo.service-now.com/api/now/table/' +
> self.__destination_table + '?sysparm_display_value=true'
> user = 'username'
> password = 'psw'
>
> headers = \{"Content-Type":"application/json","Accept":"application/json"}
> response = requests.post(url, auth=(user, password), headers=headers, data =
> json.dumps(row.asDict()))
>
> return response
> #Public Methodes
> def uploadStreamDF(self, df):
> return df.writeStream.foreach(self.__processRow).trigger(once=True).start()
>
>
>
> cmdb = CMDB('destination_table_name','source_table_name')
> streamDF = (cmdb.streamDF
> .withColumn('object_id',col('source_column_id'))
> .withColumn('name',col('source_column_name'))
> ).select('object_id','name')
> #set stream works, able to display data
> cmdb.uploadStreamDF(streamDF)
> #cmdb.uploadStreamDF(streamDF) fails with error: PicklingError: Could not
> serialize object: Exception: It appears that you are attempting to reference
> SparkContext from a broadcast variable, action, or transformation.
> SparkContext can only be used on the driver, not in code that it run on
> workers. For more information, see SPARK-5063. See exception below:
> '''
> Exception Traceback (most recent call last)
> /databricks/spark/python/pyspark/serializers.py in dumps(self, obj)
> 704 try:
> --> 705 return cloudpickle.dumps(obj, 2)
> 706 except pickle.PickleError:
> /databricks/spark/python/pyspark/cloudpickle.py in dumps(obj, protocol)
> 862 cp = CloudPickler(file,protocol)
> --> 863 cp.dump(obj)
> 864 return file.getvalue()
> /databricks/spark/python/pyspark/cloudpickle.py in dump(self, obj)
> 259 try:
> --> 260 return Pickler.dump(self, obj)
> 261 except RuntimeError as e:
> /databricks/python/lib/python3.7/pickle.py in dump(self, obj)
> 436 self.framer.start_framing()
> --> 437 self.save(obj)
> 438 self.write(STOP)
> '''
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[jira] [Commented] (SPARK-31795) Stream Data with API to ServiceNow
[
https://issues.apache.org/jira/browse/SPARK-31795?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17115766#comment-17115766
]
Hyukjin Kwon commented on SPARK-31795:
--
It's best to ask questions into the mailing list. Let's file it as an issue
here after interacting in the mailing list first.
> Stream Data with API to ServiceNow
> --
>
> Key: SPARK-31795
> URL: https://issues.apache.org/jira/browse/SPARK-31795
> Project: Spark
> Issue Type: Question
> Components: DStreams
>Affects Versions: 2.4.5
>Reporter: Dominic Wetenkamp
>Priority: Major
>
> 1) Create class
> 2) Instantiate class
> 3) Setup stream
> 4) Write stream. Here do I get a pickeling error, I really don't know how to
> get it work without error.
>
>
> class CMDB:
> #Public Properties
> @property
> def streamDF(self):
> return spark.readStream.table(self.__source_table)
>
> #Constructor
> def __init__(self, destination_table, source_table):
> self.__destination_table = destination_table
> self.__source_table = source_table
> #Private Methodes
> def __processRow(self, row):
> #API connection info
> url = 'https://foo.service-now.com/api/now/table/' +
> self.__destination_table + '?sysparm_display_value=true'
> user = 'username'
> password = 'psw'
>
> headers = \{"Content-Type":"application/json","Accept":"application/json"}
> response = requests.post(url, auth=(user, password), headers=headers, data =
> json.dumps(row.asDict()))
>
> return response
> #Public Methodes
> def uploadStreamDF(self, df):
> return df.writeStream.foreach(self.__processRow).trigger(once=True).start()
>
>
>
> cmdb = CMDB('destination_table_name','source_table_name')
> streamDF = (cmdb.streamDF
> .withColumn('object_id',col('source_column_id'))
> .withColumn('name',col('source_column_name'))
> ).select('object_id','name')
> #set stream works, able to display data
> cmdb.uploadStreamDF(streamDF)
> #cmdb.uploadStreamDF(streamDF) fails with error: PicklingError: Could not
> serialize object: Exception: It appears that you are attempting to reference
> SparkContext from a broadcast variable, action, or transformation.
> SparkContext can only be used on the driver, not in code that it run on
> workers. For more information, see SPARK-5063. See exception below:
> '''
> Exception Traceback (most recent call last)
> /databricks/spark/python/pyspark/serializers.py in dumps(self, obj)
> 704 try:
> --> 705 return cloudpickle.dumps(obj, 2)
> 706 except pickle.PickleError:
> /databricks/spark/python/pyspark/cloudpickle.py in dumps(obj, protocol)
> 862 cp = CloudPickler(file,protocol)
> --> 863 cp.dump(obj)
> 864 return file.getvalue()
> /databricks/spark/python/pyspark/cloudpickle.py in dump(self, obj)
> 259 try:
> --> 260 return Pickler.dump(self, obj)
> 261 except RuntimeError as e:
> /databricks/python/lib/python3.7/pickle.py in dump(self, obj)
> 436 self.framer.start_framing()
> --> 437 self.save(obj)
> 438 self.write(STOP)
> '''
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