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You're reading from  Azure Data Engineer Associate Certification Guide

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Published inFeb 2022
PublisherPackt
ISBN-139781801816069
Edition1st Edition
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Newton Alex
Newton Alex
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Newton Alex

Newton Alex leads several Azure Data Analytics teams in Microsoft, India. His team contributes to technologies including Azure Synapse, Azure Databricks, Azure HDInsight, and many open source technologies, including Apache YARN, Apache Spark, and Apache Hive. He started using Hadoop while at Yahoo, USA, where he helped build the first batch processing pipelines for Yahoo's ad serving team. After Yahoo, he became the leader of the big data team at Pivotal Inc., USA, where he was responsible for the entire open source stack of Pivotal Inc. He later moved to Microsoft and started the Azure Data team in India. He has worked with several Fortune 500 companies to help build their data systems on Azure.
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Troubleshooting a failed Spark job

There are two aspects to troubleshooting a failed Spark job in a cloud environment: environmental issues and job issues. Let's look at both of these factors in detail.

Debugging environmental issues

Here are some of the steps involved in checking environmental issues:

  1. Check the health of Azure services in the region where your Spark clusters are running by using this link: https://status.azure.com/en-us/status.
  2. Next, check whether your Spark cluster itself is fine. You can do this for your HDInsight clusters by checking the Ambari home page. We saw how to check Ambari for the status in Chapter 13, Monitoring Data Storage and Data Processing, in the Monitoring overall cluster performance section. Here is the Ambari screen home page again for your reference:

Figure 14.23 – Ambari home page showing the status of the cluster

  1. Check to see whether any service is down or whether any of the resources...
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Azure Data Engineer Associate Certification Guide
Published in: Feb 2022Publisher: PacktISBN-13: 9781801816069

Author (1)

author image
Newton Alex

Newton Alex leads several Azure Data Analytics teams in Microsoft, India. His team contributes to technologies including Azure Synapse, Azure Databricks, Azure HDInsight, and many open source technologies, including Apache YARN, Apache Spark, and Apache Hive. He started using Hadoop while at Yahoo, USA, where he helped build the first batch processing pipelines for Yahoo's ad serving team. After Yahoo, he became the leader of the big data team at Pivotal Inc., USA, where he was responsible for the entire open source stack of Pivotal Inc. He later moved to Microsoft and started the Azure Data team in India. He has worked with several Fortune 500 companies to help build their data systems on Azure.
Read more about Newton Alex