Hi Pat,
Read it on the below link
http://actionml.com/docs/single_machine
here is the pio-env.sh
SPARK_HOME=$PIO_HOME/vendors/spark-2.1.1-bin-hadoop2.6
POSTGRES_JDBC_DRIVER=$PIO_HOME/lib/postgresql-42.0.0.jar
MYSQL_JDBC_DRIVER=$PIO_HOME/lib/mysql-connector-java-5.1.41.jar
HADOOP_CONF_DIR=/usr/local/hadoop/etc/hadoop
HBASE_CONF_DIR=/usr/local/hbase/conf
PIO_FS_BASEDIR=$HOME/.pio_store
PIO_FS_ENGINESDIR=$PIO_FS_BASEDIR/engines
PIO_FS_TMPDIR=$PIO_FS_BASEDIR/tmp
PIO_STORAGE_REPOSITORIES_METADATA_NAME=pio_meta
PIO_STORAGE_REPOSITORIES_METADATA_SOURCE=ELASTICSEARCH
PIO_STORAGE_REPOSITORIES_EVENTDATA_NAME=pio_event
PIO_STORAGE_REPOSITORIES_EVENTDATA_SOURCE=HBASE
PIO_STORAGE_REPOSITORIES_MODELDATA_NAME=pio_model
PIO_STORAGE_REPOSITORIES_MODELDATA_SOURCE=HDFS
PIO_STORAGE_SOURCES_PGSQL_TYPE=jdbc
PIO_STORAGE_SOURCES_PGSQL_URL=jdbc:postgresql://localhost/pio
PIO_STORAGE_SOURCES_PGSQL_USERNAME=pio
PIO_STORAGE_SOURCES_PGSQL_PASSWORD=pio
PIO_STORAGE_SOURCES_ELASTICSEARCH_TYPE=elasticsearch
PIO_STORAGE_SOURCES_ELASTICSEARCH_HOME=/usr/local/els
PIO_STORAGE_SOURCES_ELASTICSEARCH_CLUSTERNAME=pio
PIO_STORAGE_SOURCES_HDFS_TYPE=hdfs
PIO_STORAGE_SOURCES_HDFS_PATH=hdfs://localhost:9000/models
PIO_STORAGE_SOURCES_HBASE_TYPE=hbase
PIO_STORAGE_SOURCES_HBASE_HOME=/usr/local/hbase
Thanks,
Anuj Kumar
On Tue, Jun 19, 2018 at 9:16 PM Pat Ferrel <p...@occamsmachete.com> wrote:
> Can you show me where on the AML site it says to store models in HDFS, it
> should not say that? I think that may be from the PIO site so you should
> ignore it.
>
> Can you share your pio-env? You need to go through the whole workflow from
> pio build, pio train, to pio deploy using a template from the same
> directory and with the same engine.json and pio-env and I suspect something
> is wrong in pio-env.
>
>
> From: Anuj Kumar <anuj.ku...@timesinternet.in>
> <anuj.ku...@timesinternet.in>
> Date: June 19, 2018 at 1:28:11 AM
> To: p...@occamsmachete.com <p...@occamsmachete.com> <p...@occamsmachete.com>
> Cc: user@predictionio.apache.org <user@predictionio.apache.org>
> <user@predictionio.apache.org>, actionml-u...@googlegroups.com
> <actionml-u...@googlegroups.com> <actionml-u...@googlegroups.com>
> Subject: Re: java.util.NoSuchElementException: head of empty list when
> running train
>
> Tried with basic engine.json mentioned at UL site examples. Seems to work
> but got stuck at "pio deploy" throwing following error
>
> [ERROR] [OneForOneStrategy] Failed to invert: [B@35c7052
>
>
> before that "pio train" was successful but gave following error. I suspect
> because of this reason "pio deploy" is not working. Please help
>
> [ERROR] [HDFSModels] File /models/pio_modelAWQXIr4APcDlNQi8DwVj could only
> be replicated to 0 nodes instead of minReplication (=1). There are 0
> datanode(s) running and no node(s) are excluded in this operation.
>
> at
> org.apache.hadoop.hdfs.server.blockmanagement.BlockManager.chooseTarget4NewBlock(BlockManager.java:1726)
>
> at
> org.apache.hadoop.hdfs.server.namenode.FSDirWriteFileOp.chooseTargetForNewBlock(FSDirWriteFileOp.java:265)
>
> at
> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getAdditionalBlock(FSNamesystem.java:2565)
>
> at
> org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.addBlock(NameNodeRpcServer.java:829)
>
> at
> org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.addBlock(ClientNamenodeProtocolServerSideTranslatorPB.java:510)
>
> at
> org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java)
>
> at
> org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:447)
>
> at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:989)
>
> at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:850)
>
> at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:793)
>
> at java.security.AccessController.doPrivileged(Native Method)
>
> at javax.security.auth.Subject.doAs(Subject.java:422)
>
> at
> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1840)
>
> at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2489)
>
>
> On Tue, Jun 19, 2018 at 10:45 AM Anuj Kumar <anuj.ku...@timesinternet.in>
> wrote:
>
>> Sure, here it is.
>>
>> {
>>
>> "comment":" This config file uses default settings for all but the
>> required values see README.md for docs",
>>
>> "id": "default",
>>
>> "description": "Default settings",
>>
>> "engineFactory": "com.actionml.RecommendationEngine",
>>
>> "datasource": {
>>
>> "params" : {
>>
>> "name": "sample-handmad",
>>
>> "appName": "np",
>>
>> "eventNames": ["read", "search", "view", "category-pref"],
>>
>> "minEventsPerUser": 1,
>>
>> "eventWindow": {
>>
>> "duration": "300 days",
>>
>> "removeDuplicates": true,
>>
>> "compressProperties": true
>>
>> }
>>
>> }
>>
>> },
>>
>> "sparkConf": {
>>
>> "spark.serializer": "org.apache.spark.serializer.KryoSerializer",
>>
>> "spark.kryo.registrator":
>> "org.apache.mahout.sparkbindings.io.MahoutKryoRegistrator",
>>
>> "spark.kryo.referenceTracking": "false",
>>
>> "spark.kryoserializer.buffer": "300m",
>>
>> "spark.executor.memory": "4g",
>>
>> "spark.executor.cores": "2",
>>
>> "spark.task.cpus": "2",
>>
>> "spark.default.parallelism": "16",
>>
>> "es.index.auto.create": "true"
>>
>> },
>>
>> "algorithms": [
>>
>> {
>>
>> "comment": "simplest setup where all values are default,
>> popularity based backfill, must add eventsNames",
>>
>> "name": "ur",
>>
>> "params": {
>>
>> "appName": "np",
>>
>> "indexName": "np",
>>
>> "typeName": "items",
>>
>> "blacklistEvents": [],
>>
>> "comment": "must have data for the first event or the model will
>> not build, other events are optional",
>>
>> "indicators": [
>>
>> {
>>
>> "name": "read"
>>
>> },{
>>
>> "name": "search",
>>
>> "maxCorrelatorsPerItem": 5
>>
>> },{
>>
>> "name": "category-pref",
>>
>> "maxCorrelatorsPerItem": 50
>>
>> },{
>>
>> "name": "view",
>>
>> "maxCorrelatorsPerItem": 50
>>
>> }
>>
>> ],
>>
>> "expireDateName": "itemExpiry",
>>
>> "dateName": "date",
>>
>> "num": 5
>>
>> }
>>
>> }
>>
>> ]
>>
>> }
>>
>>
>> On Mon, Jun 18, 2018 at 8:55 PM Pat Ferrel <p...@occamsmachete.com> wrote:
>>
>>> This sounds like some missing required config in engine.json. Can you
>>> share the file?
>>>
>>>
>>> From: Anuj Kumar <anuj.ku...@timesinternet.in>
>>> <anuj.ku...@timesinternet.in>
>>> Reply: user@predictionio.apache.org <user@predictionio.apache.org>
>>> <user@predictionio.apache.org>
>>> Date: June 18, 2018 at 5:05:22 AM
>>> To: user@predictionio.apache.org <user@predictionio.apache.org>
>>> <user@predictionio.apache.org>
>>> Subject: java.util.NoSuchElementException: head of empty list when
>>> running train
>>>
>>> Getting this while running "pio train". Please help
>>>
>>> Exception in thread "main" java.util.NoSuchElementException: head of
>>> empty list
>>>
>>> at scala.collection.immutable.Nil$.head(List.scala:420)
>>>
>>> at scala.collection.immutable.Nil$.head(List.scala:417)
>>>
>>> at
>>> org.apache.mahout.math.cf.SimilarityAnalysis$.crossOccurrenceDownsampled(SimilarityAnalysis.scala:177)
>>>
>>> at com.actionml.URAlgorithm.calcAll(URAlgorithm.scala:343)
>>>
>>> at com.actionml.URAlgorithm.train(URAlgorithm.scala:295)
>>>
>>> at com.actionml.URAlgorithm.train(URAlgorithm.scala:180)
>>>
>>> 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$.main(CreateWorkflow.scala:251)
>>>
>>> at
>>> org.apache.predictionio.workflow.CreateWorkflow.main(CreateWorkflow.scala)
>>>
>>> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
>>>
>>> at
>>> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
>>>
>>> at
>>> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
>>>
>>> at java.lang.reflect.Method.invoke(Method.java:498)
>>>
>>> at
>>> org.apache.spark.deploy.SparkSubmit$.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)
>>>
>>>
>>> --
>>> -
>>> Best,
>>> Anuj Kumar
>>>
>>>
>>
>> --
>> -
>> Best,
>> Anuj Kumar
>>
>
>
> --
> -
> Best,
> Anuj Kumar
>
>
--
-
Best,
Anuj Kumar
