Agreed that the bulk import would be faster. In my case, I wasn't expecting a lot of data to be uploaded to HBase and also, I didn't want to take the pain of importing generated HFiles into HBase. Is there a way to invoke HBase HFile import batch script programmatically?

On 19 September 2014 17:58, innowireless TaeYun Kim <> wrote:

In fact, it seems that Put can be used by HFileOutputFormat, so Put object itself may not be the problem.

The problem is that TableOutputFormat uses the Put object in the normal way (that goes through normal write path), while HFileOutFormat uses it to directly build the HFile.


From: innowireless TaeYun Kim []
Sent: Friday, September 19, 2014 9:20 PM

Subject: RE: Bulk-load to HBase


Thank you for the example code.


Currently I use foreachPartition() + Put(), but your example code can be used to clean up my code.


BTW, since the data uploaded by Put() goes through normal HBase write path, it can be slow.

So, it would be nice if bulk-load could be used, since it bypasses the write path.




From: Aniket Bhatnagar []
Sent: Friday, September 19, 2014 9:01 PM
To: innowireless TaeYun Kim
Cc: user
Subject: Re: Bulk-load to HBase


I have been using saveAsNewAPIHadoopDataset but I use TableOutputFormat instead of HFileOutputFormat. But, hopefully this should help you:


val hbaseZookeeperQuorum = s"$zookeeperHost:$zookeeperPort:$zookeeperHbasePath"

val conf = HBaseConfiguration.create()

conf.set("hbase.zookeeper.quorum", hbaseZookeeperQuorum)

conf.set(TableOutputFormat.QUORUM_ADDRESS, hbaseZookeeperQuorum)

conf.set(TableOutputFormat.QUORUM_PORT, zookeeperPort.toString)

conf.setClass("mapreduce.outputformat.class", classOf[TableOutputFormat[Object]], classOf[OutputFormat[Object, Writable]])

conf.set(TableOutputFormat.OUTPUT_TABLE, tableName)


val rddToSave: RDD[(Array[Byte], Array[Byte], Array[Byte])] = ... // Some RDD that contains row key, column qualifier and data


val putRDD = => {

    val (rowKey, column data) = tuple

    val put: Put = new Put(rowKey)

    put.add(COLUMN_FAMILY_RAW_DATA_BYTES, column, data)


    (new ImmutableBytesWritable(rowKey), put)






On 19 September 2014 16:52, innowireless TaeYun Kim <> wrote:



Sorry, I just found saveAsNewAPIHadoopDataset.

Then, Can I use HFileOutputFormat with saveAsNewAPIHadoopDataset? Is there any example code for that?




From: innowireless TaeYun Kim []
Sent: Friday, September 19, 2014 8:18 PM
Subject: RE: Bulk-load to HBase




After reading several documents, it seems that saveAsHadoopDataset cannot use HFileOutputFormat.

Its because saveAsHadoopDataset method uses JobConf, so it belongs to the old Hadoop API, while HFileOutputFormat is a member of mapreduce package which is for the new Hadoop API.


Am I right?

If so, is there another method to bulk-load to HBase from RDD?




From: innowireless TaeYun Kim []
Sent: Friday, September 19, 2014 7:17 PM
Subject: Bulk-load to HBase




Is there a way to bulk-load to HBase from RDD?

HBase offers HFileOutputFormat class for bulk loading by MapReduce job, but I cannot figure out how to use it with saveAsHadoopDataset.