Hello Team
I am using classification template and using oracle jdbc as datastore. I am
getting a error during PIO Train. I had checked the Data store and I have
data. Copied the error , query and data exported in json below. Can you
please help ?
Exception in thread "main" java.lang.IllegalArgumentException: requirement
failed: RDD[labeledPoints] in PreparedData cannot be empty. Please check if
DataSource generates TrainingData and Preparator generates PreparedData
correctly.
at scala.Predef$.require(Predef.scala:224)
at
org.example.classification.NaiveBayesAlgorithm.train(NaiveBayesAlgorithm.scala:25)
at
org.example.classification.NaiveBayesAlgorithm.train(NaiveBayesAlgorithm.scala:18)
at
org.apache.predictionio.controller.P2LAlgorithm.trainBase(P2LAlgorithm.scala:49)
at
org.apache.predictionio.controller.Engine$$anonfun$18.apply(Engine.scala:690)
at
org.apache.predictionio.controller.Engine$$anonfun$18.apply(Engine.scala:690)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at scala.collection.immutable.List.foreach(List.scala:381)
at
scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
at scala.collection.immutable.List.map(List.scala:285)
at
org.apache.predictionio.controller.Engine$.train(Engine.scala:690)
at org.apache.predictionio.controller.Engine.train(Engine.scala:176)
at
org.apache.predictionio.workflow.CoreWorkflow$.runTrain(CoreWorkflow.scala:67)
at
org.apache.predictionio.workflow.CreateWorkflow$.main(CreateWorkflow.scala:254)
at
org.apache.predictionio.workflow.CreateWorkflow.main(CreateWorkflow.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at
org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:743)
at
org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:187)
at
org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:212)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:126)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Query is : select id, event, entityType,
entityId, targetEntityType, targetEntityId,
properties, eventTime, eventTimeZone, tags,
prId, creationTime, creationTimeZone from
pio_event_42 where eventTime >=
TO_DATE('20000101','yyyymmdd') and eventTime <
TO_DATE('20200101','yyyymmdd') and entityType = 'user'
and (event = '$set' or event = '$unset' or event = '$delete')
JSON Data from oracle Database :
[{"eventId":"36a4e04c6ae64bf499d80529f86c4542","event":"$set","entityType":"user","entityId":"u0","properties":{"attr0":0,"attr1":1,"attr2":0,"plan":1},"eventTime":"2018-03-06T22:27:17.336Z","creationTime":"2018-03-06T22:27:17.336Z"},{"eventId":"f22d1b09210a4af78dfaaa846fc85296","event":"$set","entityType":"user","entityId":"u0","properties":{"attr0":0,"attr1":1,"attr2":0,"plan":1},"eventTime":"2018-03-06T22:27:18.260Z","creationTime":"2018-03-06T22:27:18.260Z"},{"eventId":"07ab0aacb53b48fda35283ea66520613","event":"$set","entityType":"user","entityId":"u0","properties":{"attr0":0,"attr1":1,"attr2":0,"plan":1},"eventTime":"2018-03-06T22:27:18.762Z","creationTime":"2018-03-06T22:27:18.762Z"},{"eventId":"ed07830d82f8409ab69585319c046759","event":"$set","entityType":"user","entityId":"u0","properties":{"attr0":0,"attr1":1,"attr2":0,"plan":1},"eventTime":"2018-03-06T22:27:20.149Z","creationTime":"2018-03-06T22:27:20.149Z"},{"eventId":"085da152c76f40c286360d393d0afcc5","event":"$set","entityType":"user","entityId":"u0","properties":{"attr0":0,"attr1":1,"attr2":0,"plan":1},"eventTime":"2018-03-06T22:27:20.681Z","creationTime":"2018-03-06T22:27:20.681Z"},{"eventId":"f2a070bf9f984e118f5ac224a2eb4a9c","event":"$set","entityType":"user","entityId":"u0","properties":{"attr0":0,"attr1":1,"attr2":0,"plan":1},"eventTime":"2018-03-06T22:27:21.162Z","creationTime":"2018-03-06T22:27:21.162Z"},{"eventId":"48d8721217974a12871eae59a5e94d58","event":"$set","entityType":"user","entityId":"u0","properties":{"attr0":0,"attr1":1,"attr2":0,"plan":1},"eventTime":"2018-03-06T22:27:21.602Z","creationTime":"2018-03-06T22:27:21.602Z"},{"eventId":"dba190567485456ab04258260a388c9b","event":"$set","entityType":"user","entityId":"u0","properties":{"attr0":0,"attr1":1,"attr2":0,"plan":1},"eventTime":"2018-03-06T22:27:22.023Z","creationTime":"2018-03-06T22:27:22.023Z"},{"eventId":"a6fa9afe16674d408b5f0155e33263f2","event":"$set","entityType":"user","entityId":"u0","properties":{"attr0":0,"attr1":1,"attr2":0,"plan":1},"eventTime":"2018-03-06T22:27:23.383Z","creationTime":"2018-03-06T22:27:23.383Z"}]
Thanks
Praveen
