Do you have the clustername set in Elasticsearch config also? It is changed in 
/usr/local/elasticsearch/config/elasticsearch.yml Setting this in both places 
will decouple server name from cluster name. Unfortunately changing a cluster 
name will call for a complete reset of PredictionIO data since it will loose 
track of engine metadata. I have found it easiest to export/backup then delete 
all apps and re-install or erase any table in hbase and elasticsearch. You have 
to get the clustername right before you start because it’s a pain to change.

Also the fields must correspond to arrays of strings, not an array of true or 
false, an array of one element, a string of “T” or “F” would work for this. For 
fields the property must be attached to all items by using a $set event, then 
your visible and sponsored will work more like what you expect. They are not 
working at all now.


On Apr 9, 2017, at 10:43 PM, Marius Rabenarivo <mariusrabenar...@gmail.com> 
wrote:

Hello,

Find attached the pio-env.sh and engine.json

that we are using.

2017-04-08 18:46 GMT+04:00 Marius Rabenarivo <mariusrabenar...@gmail.com 
<mailto:mariusrabenar...@gmail.com>>:
I'll share them monday.

2017-04-07 22:23 GMT+04:00 Pat Ferrel <p...@occamsmachete.com 
<mailto:p...@occamsmachete.com>>:
We use a clustername different from hostname all the time. In fact if you have 
more than one node you will have to make them different since there are 
multiple hostnames and one clustername.

The clustername should be something unique to your application because ES has 
the sometimes helpful, but often maddeningly bad and hidden, habit of merging 
nodes into a cluster by clustername. For instance the default for ES is to 
merge all nodes on a LAN into one cluster.

Anyway can you share your engine.json and the result of curl with exactly the 
same hostname? You need to add the clustername to pio-env.sh too so can you 
share that as well?


On Apr 7, 2017, at 12:25 AM, Marius Rabenarivo <mariusrabenar...@gmail.com 
<mailto:mariusrabenar...@gmail.com>> wrote:

It works when using the default port 9200 and by changing the Elasticsearch 
cluster name to the same as the hostname as suggested here

http://stackoverflow.com/questions/25885411/elasticsearch-error-failed-to-connect-to-master-no-route-to-host
 
<http://stackoverflow.com/questions/25885411/elasticsearch-error-failed-to-connect-to-master-no-route-to-host>

2017-04-07 9:57 GMT+04:00 Marius Rabenarivo <mariusrabenar...@gmail.com 
<mailto:mariusrabenar...@gmail.com>>:
I tried to run the command

curl -X GET http://engine-server:9200 <http://engine-server:9200/>

and I'm getting a JSON response but when I'm running the command

pio train

I got 

org.elasticsearch.hadoop.rest.EsHadoopTransportException: java.net 
<http://java.net/>.NoRouteToHostException: No route to host (Host unreachable)

exception

2017-04-07 9:18 GMT+04:00 Marius Rabenarivo <mariusrabenar...@gmail.com 
<mailto:mariusrabenar...@gmail.com>>:
I tried using these configurations in the sparkConf section of engine.json
It has the same effect as the code I mentioned below but I still getting the 
same exception.

2017-04-07 5:03 GMT+04:00 Pat Ferrel <p...@occamsmachete.com 
<mailto:p...@occamsmachete.com>>:
BTW the docs for sparkConf are here: 
http://actionml.com/docs/ur_config#ur-spark-conf 
<http://actionml.com/docs/ur_config#ur-spark-conf>


On Apr 6, 2017, at 4:52 PM, Pat Ferrel <p...@occamsmachete.com 
<mailto:p...@occamsmachete.com>> wrote:

PIO in the past used the “transport client” of Elasticsearch, which is on port 
9300 by default, The UR uses the REST client for some things like rapid writes 
to ES using Spark using a lib supplied by Elasticsearch.

So, Spark needs to have config that the Elasticsearch library can read. This 
can be done most easily by putting it into a sparkConf section of engine.json

Like this:

  "sparkConf": {
    "spark.serializer": "org.apache.spark.serializer.KryoSerializer",
    "spark.kryo.registrator": "org.apache.mahout.sparkbindings.io 
<http://sparkbindings.io/>.MahoutKryoRegistrator",
    "spark.kryo.referenceTracking": "false",
    "spark.kryoserializer.buffer": "300m",
    "es.index.auto.create": “true”,
    “es.nodes”: “node1,node2”  <========== add this
  },
 
The list is comma separated host ip addresses of DNS names so no spaces. If you 
are using the default port 9200 you don’t need to specify it. These values are 
defined by Elasticsearch so see their docs if you have any question about what 
can be configured in this way. For instance you can also specify password and 
username in this manner.


On Apr 6, 2017, at 4:27 PM, Marius Rabenarivo <mariusrabenar...@gmail.com 
<mailto:mariusrabenar...@gmail.com>> wrote:

Hello,

I try to run training from a remote machine.

It fails in later stage due to this exception :

org.elasticsearch.hadoop.rest.EsHadoopNoNodesLeftException: Connection error 
(check network and/or proxy settings)- all nodes failed; tried 
[[engine-server:9300]]

According to the stack trace the error is coming from this line :

https://github.com/actionml/universal-recommender/blob/master/src/main/scala/EsClient.scala#L179
 
<https://github.com/actionml/universal-recommender/blob/master/src/main/scala/EsClient.scala#L179>

It was using a default configuration to access ES.

I tried to replace this line with :


    val elasticSearchConf = Storage.getConfig("ELASTICSEARCH").get

    val conf = Map(
      "es.mapping.id <http://es.mapping.id/>" -> "id",
      "es.nodes" -> elasticSearchConf.properties.get("HOSTS").head,
      "es.port" -> elasticSearchConf.properties.get("PORTS").head
    )

    indexRDD.saveToEs(newIndexURI, conf)

but I still getting the same error.

Regards,

Marius

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