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Hadoop 2.x Administration Cookbook

You're reading from   Hadoop 2.x Administration Cookbook Administer and maintain large Apache Hadoop clusters

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Product type Paperback
Published in May 2017
Publisher Packt
ISBN-13 9781787126732
Length 348 pages
Edition 1st Edition
Tools
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Author (1):
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Aman Singh Aman Singh
Author Profile Icon Aman Singh
Aman Singh
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Toc

Table of Contents (14) Chapters Close

Preface 1. Hadoop Architecture and Deployment FREE CHAPTER 2. Maintaining Hadoop Cluster HDFS 3. Maintaining Hadoop Cluster – YARN and MapReduce 4. High Availability 5. Schedulers 6. Backup and Recovery 7. Data Ingestion and Workflow 8. Performance Tuning 9. HBase Administration 10. Cluster Planning 11. Troubleshooting, Diagnostics, and Best Practices 12. Security Index

Hive troubleshooting

In this recipe, we will look at Hive troubleshooting steps and important keywords in the logs, which can help us to identify issues.

Getting ready

For this recipe, the user must have completed the Operating Hive with ZooKeeper recipe in Chapter 7, Data Ingestion and Workflow and have a basic understanding of database connectivity.

How to do it...

  1. Connect to the edge1.cyrus.com Edge node and switch to user hadoop.
  2. The Hive query logs location is defined by hive.querylog.location and the Hive server2 logs is defined by hive.server2.logging.operation.log.location.
  3. As an example, if I try to query a table that does not exist, we can see the errors in the Hive log, as shown in the following screenshot:
    How to do it...
  4. Make it a good habit to read logs to troubleshoot, as logs will give hints about errors.
  5. Make sure Hive is able to connect to the Hive metastore. To verify this, first connect manually, as shown here:
    $ mysql –u Hadoop –h master1.cyrus.com -p
    
  6. Make sure the user used...
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