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Big Data Analytics with Hadoop 3

You're reading from  Big Data Analytics with Hadoop 3

Product type Book
Published in May 2018
Publisher Packt
ISBN-13 9781788628846
Pages 482 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Sridhar Alla Sridhar Alla
Profile icon Sridhar Alla

Table of Contents (18) Chapters

Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
Introduction to Hadoop Overview of Big Data Analytics Big Data Processing with MapReduce Scientific Computing and Big Data Analysis with Python and Hadoop Statistical Big Data Computing with R and Hadoop Batch Analytics with Apache Spark Real-Time Analytics with Apache Spark Batch Analytics with Apache Flink Stream Processing with Apache Flink Visualizing Big Data Introduction to Cloud Computing Using Amazon Web Services Index

Using the Flink cluster UI


Using the Flink cluster UI, you can understand and monitor what's running in your cluster and dig deeply into various jobs and tasks. You can monitor the job statuses, cancel jobs, or debug any problems with the jobs. By looking at logs, you can also diagnose problems with your code, and fix them.

The following is a list of Completed Jobs:

You can drill down into any particular job to see more details about the job's execution:

Figure: Drilling down a particular job to see job's execution

You can look at the Timeline of the job to get more details:

Figure: Screenshot to see Timeline of a job

The following screenshot shows the Task Managers tab, showing all of the task managers. This helps you understand the number and status of the task managers:

You can also check the Logs, as shown in the following screenshot:

The Metrics tab gives you details of the memory and CPU resources:

Figure: Screenshot showing details of the memory and CPU resources in Metrics tab

You can also...

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