73253/how-to-run-spark-job-from-ec2-to-emr
Hi,
You can follow the below-given steps to run your spark code in the Amazon EMR cluster.
Upload files on Amazon S3.
Open the Amazon EMR console.
Choose Create cluster.
On the General Configuration section, enter the cluster name, choose the S3 bucket you created (the logs will be stored in this bucket), and check Step execution.
On the Add steps section, select Spark application, click Configure, and fill the popup like this.
On the Software Configuration section, use the default release.
On the Hardware configuration section, choose the instance type and the number of instances.
On the Security and access section, use the default values.
Click on Create cluster
Now go back to the S3 console and you will see the output directory in which the result has been stored, you can click on it and download its contents
In your log4j.properties file you need to ...READ MORE
You can save the RDD using saveAsObjectFile and saveAsTextFile method. ...READ MORE
Hi, These are the steps to run spark in ...READ MORE
Refer to the below code: import org.apache.hadoop.conf.Configuration import org.apache.hadoop.fs.FileSystem import ...READ MORE
Currently Spring Data Elasticsearch doesn't support the ...READ MORE
Yes, you should address this problem. You can ...READ MORE
Boto and the underlying EMR API is ...READ MORE
Hi, It totally depends on your understanding and ...READ MORE
Hi, In Spark, fill() function of DataFrameNaFunctions class is used to replace ...READ MORE
val coder: (Int => String) = v ...READ MORE
OR
At least 1 upper-case and 1 lower-case letter
Minimum 8 characters and Maximum 50 characters
Already have an account? Sign in.