I have a vmware cloudera image, cdh-5.7 running with centos6.8, i am using
OS X as my development machine, and the cdh image to run the code, i upload
the code using git to the cdh image, i have modified my /etc/hosts file
located in the cdh image with a line like this:

127.0.0.1       quickstart.cloudera     quickstart      localhost
 localhost.domain

192.168.30.138       quickstart.cloudera     quickstart      localhost
      localhost.domain

The cloudera version that i am running is:

[cloudera@quickstart bin]$ cat /usr/lib/hadoop/cloudera/cdh_version.properties

# Autogenerated build properties
version=2.6.0-cdh5.7.0
git.hash=c00978c67b0d3fe9f3b896b5030741bd40bf541a
cloudera.hash=c00978c67b0d3fe9f3b896b5030741bd40bf541a
cloudera.cdh.hash=e7465a27c5da4ceee397421b89e924e67bc3cbe1
cloudera.cdh-packaging.hash=8f9a1632ebfb9da946f7d8a3a8cf86efcdccec76
cloudera.base-branch=cdh5-base-2.6.0
cloudera.build-branch=cdh5-2.6.0_5.7.0
cloudera.pkg.version=2.6.0+cdh5.7.0+1280
cloudera.pkg.release=1.cdh5.7.0.p0.92
cloudera.cdh.release=cdh5.7.0
cloudera.build.time=2016.03.23-18:30:29GMT

I can do a ls command in the vmware machine:

[cloudera@quickstart ~]$ hdfs dfs -ls /user/cloudera/ratings.csv
-rw-r--r-- 1 cloudera cloudera 16906296 2016-05-30 11:29
/user/cloudera/ratings.csv

I can read its content:

[cloudera@quickstart ~]$ hdfs dfs -cat /user/cloudera/ratings.csv | wc -l
568454

The code is quite simple, just trying to map its content:

val ratingFile="hdfs://quickstart.cloudera:8020/user/cloudera/ratings.csv"

case class AmazonRating(userId: String, productId: String, rating: Double)

val NumRecommendations = 10
val MinRecommendationsPerUser = 10
val MaxRecommendationsPerUser = 20
val MyUsername = "myself"
val NumPartitions = 20


println("Using this ratingFile: " + ratingFile)
  // first create an RDD out of the rating file
val rawTrainingRatings = sc.textFile(ratingFile).map {
    line =>
      val Array(userId, productId, scoreStr) = line.split(",")
      AmazonRating(userId, productId, scoreStr.toDouble)
}

  // only keep users that have rated between MinRecommendationsPerUser
and MaxRecommendationsPerUser products
val trainingRatings = rawTrainingRatings.groupBy(_.userId).filter(r =>
MinRecommendationsPerUser <= r._2.size  && r._2.size <
MaxRecommendationsPerUser).flatMap(_._2).repartition(NumPartitions).cache()

println(s"Parsed $ratingFile. Kept ${trainingRatings.count()} ratings
out of ${rawTrainingRatings.count()}")

I am getting this message:

Parsed hdfs://quickstart.cloudera:8020/user/cloudera/ratings.csv. Kept
0 ratings out of 568454

because if i run the exact code within the spark-shell, i got this message:

Parsed hdfs://quickstart.cloudera:8020/user/cloudera/ratings.csv. Kept
73279 ratings out of 568454

*Why is it working fine within the spark-shell but it is not **running
fine **programmatically  in the vmware image?*

I am running the code using sbt-pack plugin to generate unix commands and
run them within the vmware image which has the spark pseudocluster,

This is the code i use to instantiate the sparkconf:

val sparkConf = new SparkConf().setAppName("AmazonKafkaConnector")

.setMaster("local[4]").set("spark.driver.allowMultipleContexts",
"true")

    val sc = new SparkContext(sparkConf)

    val sqlContext = new SQLContext(sc)
    val ssc = new StreamingContext(sparkConf, Seconds(2))
    //this checkpointdir should be in a conf file, for now it is hardcoded!
    val streamingCheckpointDir =
"/home/cloudera/my-recommendation-spark-engine/checkpoint"
    ssc.checkpoint(streamingCheckpointDir)

I have tried to use this way of setting spark master, but an exception
raises, i suspect that this is symptomatic of my problem.
//.setMaster("spark://quickstart.cloudera:7077")

The exception when i try to use the fully qualified domain name:

.setMaster("spark://quickstart.cloudera:7077")

java.io.IOException: Failed to connect to quickstart.cloudera/127.0.0.1:7077
        at 
org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:216)
        at 
org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:167)
        at 
org.apache.spark.rpc.netty.NettyRpcEnv.createClient(NettyRpcEnv.scala:200)
        at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:187)
        at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:183)
        at java.util.concurrent.FutureTask.run(FutureTask.java:262)
        at 
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
        at 
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
        at java.lang.Thread.run(Thread.java:745)
Caused by: java.net.ConnectException: Connection refused:
quickstart.cloudera/127.0.0.1:7077
        at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
        at 
sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:739)
        at 
io.netty.channel.socket.nio.NioSocketChannel.doFinishConnect(NioSocketChannel.java:224)
        at 
io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:289)
        at 
io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:528)
        at 
io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:468)
        at 
io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:382)
        at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:354)

I can ping to quickstart.cloudera in the cloudera terminal, so why i can't
use .setMaster("spark://quickstart.cloudera:7077") instead of
.setMaster("local[*]"):

[cloudera@quickstart bin]$ ping quickstart.cloudera
PING quickstart.cloudera (127.0.0.1) 56(84) bytes of data.
64 bytes from quickstart.cloudera (127.0.0.1): icmp_seq=1 ttl=64 time=0.019 ms
64 bytes from quickstart.cloudera (127.0.0.1): icmp_seq=2 ttl=64 time=0.026 ms
64 bytes from quickstart.cloudera (127.0.0.1): icmp_seq=3 ttl=64 time=0.026 ms
64 bytes from quickstart.cloudera (127.0.0.1): icmp_seq=4 ttl=64 time=0.028 ms
64 bytes from quickstart.cloudera (127.0.0.1): icmp_seq=5 ttl=64 time=0.026 ms
64 bytes from quickstart.cloudera (127.0.0.1): icmp_seq=6 ttl=64 time=0.020 ms

And the port 7077 is listening to incoming calls:

[cloudera@quickstart bin]$ netstat -nap | grep 7077
(Not all processes could be identified, non-owned process info
 will not be shown, you would have to be root to see it all.)
tcp        0      0 192.168.30.138:7077         0.0.0.0:*
     LISTEN


[cloudera@quickstart bin]$ ping 192.168.30.138
PING 192.168.30.138 (192.168.30.138) 56(84) bytes of data.
64 bytes from 192.168.30.138: icmp_seq=1 ttl=64 time=0.023 ms
64 bytes from 192.168.30.138: icmp_seq=2 ttl=64 time=0.026 ms
64 bytes from 192.168.30.138: icmp_seq=3 ttl=64 time=0.028 ms
^C
--- 192.168.30.138 ping statistics ---
3 packets transmitted, 3 received, 0% packet loss, time 2810ms
rtt min/avg/max/mdev = 0.023/0.025/0.028/0.006 ms
[cloudera@quickstart bin]$ ifconfig
eth2      Link encap:Ethernet  HWaddr 00:0C:29:6F:80:D2
          inet addr:192.168.30.138  Bcast:192.168.30.255  Mask:255.255.255.0
          UP BROADCAST RUNNING MULTICAST  MTU:1500  Metric:1
          RX packets:8612 errors:0 dropped:0 overruns:0 frame:0
          TX packets:8493 errors:0 dropped:0 overruns:0 carrier:0
          collisions:0 txqueuelen:1000
          RX bytes:2917515 (2.7 MiB)  TX bytes:849750 (829.8 KiB)

lo        Link encap:Local Loopback
          inet addr:127.0.0.1  Mask:255.0.0.0
          UP LOOPBACK RUNNING  MTU:65536  Metric:1
          RX packets:57534 errors:0 dropped:0 overruns:0 frame:0
          TX packets:57534 errors:0 dropped:0 overruns:0 carrier:0
          collisions:0 txqueuelen:0
          RX bytes:44440656 (42.3 MiB)  TX bytes:44440656 (42.3 MiB)

I think that this must be a misconfiguration in a cloudera configuration
file, but which one?

Thank you very much for reading until here.
Alonso Isidoro Roman
[image: https://]about.me/alonso.isidoro.roman
<https://about.me/alonso.isidoro.roman?promo=email_sig&utm_source=email_sig&utm_medium=email_sig&utm_campaign=external_links>




--
View this message in context: 
http://apache-spark-user-list.1001560.n3.nabble.com/About-a-problem-when-mapping-a-file-located-within-a-HDFS-vmware-cdh-5-7-image-tp27058.html
Sent from the Apache Spark User List mailing list archive at Nabble.com.

Reply via email to