How to Print the Pipe Output In Hadoop Cascading?

7 minutes read

In Hadoop Cascading, you can print the pipe output by creating a custom tap that writes the output to a file or the console. You can use the Delimited() function to format the output as delimited text before writing it to a file. Another option is to use the Print() function to print the output to the console directly. You can define this custom tap in your Cascading job configuration to specify where and how you want the output to be printed. This allows you to easily view and analyze the output of your Cascading job during development and debugging.

Best Hadoop Books to Read in June 2024

1
Hadoop Application Architectures: Designing Real-World Big Data Applications

Rating is 5 out of 5

Hadoop Application Architectures: Designing Real-World Big Data Applications

2
Expert Hadoop Administration: Managing, Tuning, and Securing Spark, YARN, and HDFS (Addison-Wesley Data & Analytics Series)

Rating is 4.9 out of 5

Expert Hadoop Administration: Managing, Tuning, and Securing Spark, YARN, and HDFS (Addison-Wesley Data & Analytics Series)

3
Hadoop: The Definitive Guide: Storage and Analysis at Internet Scale

Rating is 4.8 out of 5

Hadoop: The Definitive Guide: Storage and Analysis at Internet Scale

4
Programming Hive: Data Warehouse and Query Language for Hadoop

Rating is 4.7 out of 5

Programming Hive: Data Warehouse and Query Language for Hadoop

5
Hadoop Security: Protecting Your Big Data Platform

Rating is 4.6 out of 5

Hadoop Security: Protecting Your Big Data Platform

6
Big Data Analytics with Hadoop 3

Rating is 4.5 out of 5

Big Data Analytics with Hadoop 3

7
Hadoop Real-World Solutions Cookbook Second Edition

Rating is 4.4 out of 5

Hadoop Real-World Solutions Cookbook Second Edition


How to view the pipe output in Hadoop Cascading on the command line?

In Hadoop Cascading, you can view the output of a pipe on the command line by using the Hadoop FS command to access the HDFS directory where the output data is stored.


Here is a step-by-step guide:

  1. Run your Cascading application and make sure it generates output. The output data will be written to a specified HDFS directory.
  2. Use the following command to list the contents of the HDFS directory:
1
hadoop fs -ls <HDFS directory path>


  1. Find the file that contains the output data. It will typically have a .txt extension. Note down the name of the file.
  2. Use the following command to view the contents of the output file:
1
hadoop fs -cat <output file path>


Replace <HDFS directory path> and <output file path> with the actual paths in your HDFS system.


By following these steps, you can view the output generated by your Cascading application on the command line.


How to output the pipe results in Hadoop Cascading to a file?

To output the results of a Cascading pipeline to a file in Hadoop, you can use the Hfs tap to write the output to a file. Here's how you can do it:

  1. Define the Hfs tap with the path to the output file:
1
Hfs outputTap = new Hfs(new TextDelimited(), "hdfs://<hadoop-cluster>/output-path");


  1. Connect the Hfs tap to the pipe with the results you want to write to the file:
1
2
3
4
5
6
7
8
9
pipe = new Each(pipe, Fields.ALL, new Identity());
pipe = new Each(pipe, Fields.ALL, new TextFormatter());
pipe = new Each(pipe, Fields.ALL, new TextLine());
Tap outTap = getFlowProcess().getTapFor(outputSink, SinkMode.REPLACE);
pipe = new Each(pipe, Fields.ALL, new Buffer(outputField), Fields.RESULTS);

Flow def = FlowRuntimeProps.smoothedProperties()
    .setIntermediateTapFileCodec(TextLineCodec.class)
    .buildHfs(outTap, new TextLine(new Fields("output")));


  1. Finally, execute the flow and the output will be written to the specified file:
1
2
Flow flow = new HadoopFlowConnector().connect(flowDef);
flow.complete();


This way, the results of your Cascading pipeline will be written to the specified Hadoop file.


What is the significance of logging the pipe output in Hadoop Cascading?

Logging the pipe output in Hadoop Cascading is important for monitoring the progress of a job, troubleshooting any issues that may arise during execution, and for historical analysis and reporting. By logging the pipe output, users can track the status of their jobs, identify any errors or inefficiencies in the job flow, and gain insights into the performance of the job.


Additionally, logging the pipe output allows users to track the job execution time, identify bottlenecks in the processing pipeline, and optimize the job configuration for better performance. This information can be used to improve job scheduling, resource allocation, and overall job efficiency in the Hadoop environment.

Facebook Twitter LinkedIn Telegram Whatsapp Pocket

Related Posts:

To replace a pipe symbol (|) with a newline character in Linux, you can use different tools and commands. Here are three common approaches:Using sed command: The sed (stream editor) command line tool is often used for text manipulation. To replace the pipe sym...
In Dart, you can use the print() function to output text to the console or standard output. By default, print() adds a newline character at the end of the output. However, if you want to print without a newline, you can use the write() function from the dart:i...
In GraphQL, cascading deletes refer to the process of deleting related data when a parent entity is deleted. For example, if you have a schema where a user can have multiple posts, and you want to delete a user, you may also want to delete all their associated...