Call From sandbox-hdp.hortonworks.com/172.18.0.2 to localhost:8020 failed on connection exception












0















I use Hortonworks Sandbox HDP 2.6.5 and putty to use Linux shell. My OS is window10.



I put some JSON file on HDFS and I want to open this file with pyspark.



I use below python file on linux, typing "spark-submit example.py" on shell



from pyspark.sql import SparkSession

if __name__ == "main":
spark = SparkSession.builder.appName('JSONRead').getOrCreate()

jsonData = spark.read.json('hdfs://localhost/user/maria_dev/example.json')
jsonData.printSchema()
jsonData.createOrReplaceTempView('Users')

userNames = spark.sql('SELECT _id, name, age, email, phone, gender, index from Users')

spark.stop()


But I got this error message



"Call From sandbox-hdp.hortonworks.com/172.18.0.2 to localhost:8020 failed on connection exception"



I searched this problem on stackoverflow and people usually said name node is running different port or not run. But I don't know how to know name node's status and how to restart it.



I typed "sudo service hadoop-hdfs-namenode restart"
But putty return "Unit hadoop-hdfs-namenode.service could not be found."



What can I do? Can you help me please?










share|improve this question

























  • Edit your question and include your code directly in your question. Including it as an image prevents anyone from trying it and trying to help you.

    – Dave
    Nov 20 '18 at 15:38
















0















I use Hortonworks Sandbox HDP 2.6.5 and putty to use Linux shell. My OS is window10.



I put some JSON file on HDFS and I want to open this file with pyspark.



I use below python file on linux, typing "spark-submit example.py" on shell



from pyspark.sql import SparkSession

if __name__ == "main":
spark = SparkSession.builder.appName('JSONRead').getOrCreate()

jsonData = spark.read.json('hdfs://localhost/user/maria_dev/example.json')
jsonData.printSchema()
jsonData.createOrReplaceTempView('Users')

userNames = spark.sql('SELECT _id, name, age, email, phone, gender, index from Users')

spark.stop()


But I got this error message



"Call From sandbox-hdp.hortonworks.com/172.18.0.2 to localhost:8020 failed on connection exception"



I searched this problem on stackoverflow and people usually said name node is running different port or not run. But I don't know how to know name node's status and how to restart it.



I typed "sudo service hadoop-hdfs-namenode restart"
But putty return "Unit hadoop-hdfs-namenode.service could not be found."



What can I do? Can you help me please?










share|improve this question

























  • Edit your question and include your code directly in your question. Including it as an image prevents anyone from trying it and trying to help you.

    – Dave
    Nov 20 '18 at 15:38














0












0








0








I use Hortonworks Sandbox HDP 2.6.5 and putty to use Linux shell. My OS is window10.



I put some JSON file on HDFS and I want to open this file with pyspark.



I use below python file on linux, typing "spark-submit example.py" on shell



from pyspark.sql import SparkSession

if __name__ == "main":
spark = SparkSession.builder.appName('JSONRead').getOrCreate()

jsonData = spark.read.json('hdfs://localhost/user/maria_dev/example.json')
jsonData.printSchema()
jsonData.createOrReplaceTempView('Users')

userNames = spark.sql('SELECT _id, name, age, email, phone, gender, index from Users')

spark.stop()


But I got this error message



"Call From sandbox-hdp.hortonworks.com/172.18.0.2 to localhost:8020 failed on connection exception"



I searched this problem on stackoverflow and people usually said name node is running different port or not run. But I don't know how to know name node's status and how to restart it.



I typed "sudo service hadoop-hdfs-namenode restart"
But putty return "Unit hadoop-hdfs-namenode.service could not be found."



What can I do? Can you help me please?










share|improve this question
















I use Hortonworks Sandbox HDP 2.6.5 and putty to use Linux shell. My OS is window10.



I put some JSON file on HDFS and I want to open this file with pyspark.



I use below python file on linux, typing "spark-submit example.py" on shell



from pyspark.sql import SparkSession

if __name__ == "main":
spark = SparkSession.builder.appName('JSONRead').getOrCreate()

jsonData = spark.read.json('hdfs://localhost/user/maria_dev/example.json')
jsonData.printSchema()
jsonData.createOrReplaceTempView('Users')

userNames = spark.sql('SELECT _id, name, age, email, phone, gender, index from Users')

spark.stop()


But I got this error message



"Call From sandbox-hdp.hortonworks.com/172.18.0.2 to localhost:8020 failed on connection exception"



I searched this problem on stackoverflow and people usually said name node is running different port or not run. But I don't know how to know name node's status and how to restart it.



I typed "sudo service hadoop-hdfs-namenode restart"
But putty return "Unit hadoop-hdfs-namenode.service could not be found."



What can I do? Can you help me please?







hadoop pyspark connection-refused namenode hortonworks-sandbox






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 21 '18 at 2:24







James Shin

















asked Nov 20 '18 at 15:09









James ShinJames Shin

11




11













  • Edit your question and include your code directly in your question. Including it as an image prevents anyone from trying it and trying to help you.

    – Dave
    Nov 20 '18 at 15:38



















  • Edit your question and include your code directly in your question. Including it as an image prevents anyone from trying it and trying to help you.

    – Dave
    Nov 20 '18 at 15:38

















Edit your question and include your code directly in your question. Including it as an image prevents anyone from trying it and trying to help you.

– Dave
Nov 20 '18 at 15:38





Edit your question and include your code directly in your question. Including it as an image prevents anyone from trying it and trying to help you.

– Dave
Nov 20 '18 at 15:38












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