I successfully did this once.
RDD map to RDD [(ImmutableBytesWritable, KeyValue)]
then
val conf = HBaseConfiguration.create()
val job = new Job (conf, "CEF2HFile")
job.setMapOutputKeyClass (classOf[ImmutableBytesWritable]);
job.setMapOutputValueClass (classOf[KeyValue]);
val table = new HTable(conf, "output")
HFileOutputFormat.configureIncrementalLoad (job, table);
saveAsNewAPIHadoopFile("hdfs://localhost.localdomain:8020/user/cloudera/spark",
classOf[ImmutableBytesWritable], classOf[Put], classOf[HFileOutputFormat], conf)
Then I do
hbase org.apache.hadoop.hbase.mapreduce.LoadIncrementalHFiles
/user/cloudera/spark output
to load the HFiles to hbase.
----- Original Message -----
From: "Ted Yu" <yuzhih...@gmail.com>
To: "Aniket Bhatnagar" <aniket.bhatna...@gmail.com>
Cc: "innowireless TaeYun Kim" <taeyun....@innowireless.co.kr>, "user"
<user@spark.apache.org>
Sent: Friday, September 19, 2014 2:29:51 PM
Subject: Re: Bulk-load to HBase
Please see http://hbase.apache.org/book.html#completebulkload
LoadIncrementalHFiles has a main() method.
On Fri, Sep 19, 2014 at 5:41 AM, Aniket Bhatnagar < aniket.bhatna...@gmail.com
> wrote:
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 <
taeyun....@innowireless.co.kr > 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 [mailto: taeyun....@innowireless.co.kr ]
Sent: Friday, September 19, 2014 9:20 PM
To: user@spark.apache.org
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.
Thanks.
From: Aniket Bhatnagar [ mailto:aniket.bhatna...@gmail.com ]
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 = rddToSave.map(tuple => {
val (rowKey, column data) = tuple
val put: Put = new Put(rowKey)
put.add(COLUMN_FAMILY_RAW_DATA_BYTES, column, data)
(new ImmutableBytesWritable(rowKey), put)
})
putRDD.saveAsNewAPIHadoopDataset(conf)
On 19 September 2014 16:52, innowireless TaeYun Kim <
taeyun....@innowireless.co.kr > wrote:
Hi,
Sorry, I just found saveAsNewAPIHadoopDataset.
Then, Can I use HFileOutputFormat with saveAsNewAPIHadoopDataset? Is there any
example code for that?
Thanks.
From: innowireless TaeYun Kim [mailto: taeyun....@innowireless.co.kr ]
Sent: Friday, September 19, 2014 8:18 PM
To: user@spark.apache.org
Subject: RE: Bulk-load to HBase
Hi,
After reading several documents, it seems that saveAsHadoopDataset cannot use
HFileOutputFormat.
It ’ s 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?
Thanks.
From: innowireless TaeYun Kim [ mailto:taeyun....@innowireless.co.kr ]
Sent: Friday, September 19, 2014 7:17 PM
To: user@spark.apache.org
Subject: Bulk-load to HBase
Hi,
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.
Thanks.
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