Snapshots, Backups, and MapReduce

Apache HBase 1.1.1    |    Intermediate
  • 12 videos | 49m 39s
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HBase can be managed using the Java client API and can also be integrated with MapReduce to maximize performance. Discover how to perform backup and restore operations, and work with MapReduce.

WHAT YOU WILL LEARN

  • take a snapshot
    use a snapshot to clone a table and move it to another cluster
    export and restore a snapshot to another cluster
    perform a full shutdown backup of HBase
    perform a backup of HBase on a live cluster
    restore HBase
  • use the TableOutPutFormat class to set up a table as an output to the MapReduce process using HBase as the data sink
    use the TableInputFormat class to set up a table as an input to a MapReduce process using HBase as the data source
    Use MapReduce to bulk load data directly into HBase file system by bypassing the HBase API
    use the getSplits method of the TableInputFormatBase class to create custom splitters when using an HBase table as a data source
    access other HBase tables from within a MapReduce job by creating a Table instance in the setup method of Mapper
    perform HBase cluster and node maintenance

IN THIS COURSE

  • 3m 28s
  • 3m 40s
  • Locked
    3.  Exporting and Restoring Snapshots
    5m 2s
  • Locked
    4.  Performing a Full Shutdown Backup
    2m 47s
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    5.  Performing a Backup on a Live Cluster
    4m 20s
  • Locked
    6.  Performing a Restore
    2m 14s
  • Locked
    7.  Using HBase as a Data Sink
    4m 38s
  • Locked
    8.  Using HBase as a Data Source
    6m 6s
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    9.  Bulk Loading Data
    4m 24s
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    10.  Splitting Map Tasks When Sourcing an HBase Table
    3m 23s
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    11.  Accessing Other HBase Tables within a MapReduce Job
    4m 11s
  • Locked
    12.  Exercise: Managing HBase
    5m 26s

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