Snapshots, Backups, and MapReduce
Apache HBase 1.1.1
| Intermediate
- 12 videos | 49m 39s
- Earns a Badge
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
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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
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3m 28sDuring this video, you will learn how to take a screenshot. FREE ACCESS
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3m 40sIn this video, learn how to use a snapshot to clone a table and move it to another database. FREE ACCESS
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3. Exporting and Restoring Snapshots5m 2sLearn how to export and restore snapshots to another cluster. FREE ACCESS
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4. Performing a Full Shutdown Backup2m 47sDuring this video, you will learn how to perform a full shutdown backup of HBase. FREE ACCESS
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5. Performing a Backup on a Live Cluster4m 20sIn this video, learn how to perform a backup of HBase on a live cluster. FREE ACCESS
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6. Performing a Restore2m 14sDuring this video, you will learn how to restore HBase. FREE ACCESS
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7. Using HBase as a Data Sink4m 38sIn this video, you will learn how to use the TableOutputFormat class to set up a table as an output to the MapReduce process using HBase as the data sink. FREE ACCESS
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8. Using HBase as a Data Source6m 6sDuring this video, you will learn how to use the TableInputFormat class to set up a table as an input to a MapReduce process using HBase as the data source. FREE ACCESS
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9. Bulk Loading Data4m 24sIn this video, you will learn how to use MapReduce to bulk load data directly into the HBase file system by bypassing the HBase API. FREE ACCESS
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10. Splitting Map Tasks When Sourcing an HBase Table3m 23sIn this video, you will learn how to use the getSplits method of the TableInputFormatBase class to create custom splitters when using an HBase table as a data source. FREE ACCESS
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11. Accessing Other HBase Tables within a MapReduce Job4m 11sTo access other HBase tables from within a MapReduce job, create a Table instance in the setup method of Mapper. FREE ACCESS
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12. Exercise: Managing HBase5m 26sIn this video, find out how to perform HBase cluster and node maintenance. FREE ACCESS
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