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https://issues.apache.org/jira/browse/HBASE-48?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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stack updated HBASE-48:
-----------------------
Attachment: 48-v5.patch
Updated patch. Rolls hfile now at row boundary.
Regards TotalOrderPartitioner, there is no such facility in the new mapreduce
package. That said, shouldn't be too hard making a partitioner of our own.
Here is the default hash partitioner:
{code}
/** Use {...@link Object#hashCode()} to partition. */
public int getPartition(K key, V value,
int numReduceTasks) {
return (key.hashCode() & Integer.MAX_VALUE) % numReduceTasks;
}
{code}
We could take as inputs a start and end key and then divide the key space using
our key bigdecimal math into numReduceTasks partitions?
> [hbase] Bulk load tools
> -----------------------
>
> Key: HBASE-48
> URL: https://issues.apache.org/jira/browse/HBASE-48
> Project: Hadoop HBase
> Issue Type: New Feature
> Reporter: stack
> Priority: Minor
> Attachments: 48-v2.patch, 48-v3.patch, 48-v4.patch, 48-v5.patch,
> 48.patch, loadtable.rb
>
>
> Hbase needs tools to facilitate bulk upload and possibly dumping. Going via
> the current APIs, particularly if the dataset is large and cell content is
> small, uploads can take a long time even when using many concurrent clients.
> PNUTS folks talked of need for a different API to manage bulk upload/dump.
> Another notion would be to somehow have the bulk loader tools somehow write
> regions directly in hdfs.
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