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 28s
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3m 40s
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3. Exporting and Restoring Snapshots5m 2s
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4. Performing a Full Shutdown Backup2m 47s
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5. Performing a Backup on a Live Cluster4m 20s
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6. Performing a Restore2m 14s
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7. Using HBase as a Data Sink4m 38s
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8. Using HBase as a Data Source6m 6s
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9. Bulk Loading Data4m 24s
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10. Splitting Map Tasks When Sourcing an HBase Table3m 23s
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11. Accessing Other HBase Tables within a MapReduce Job4m 11s
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12. Exercise: Managing HBase5m 26s
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