this is simple " how to " question:: We can bring data to Spark environment through com.databricks.spark.csv. I do know how to create HBase table through spark, and write data to the HBase tables manually. But is that even possible to load a text/csv/jason files directly to HBase through Spark? I cannot see anybody talking about it. So, just checking. If possible, please guide me to a good website that explains the scala code in detail to get it done.
Thank you,
There are multiple ways you can do that.
https://github.com/hortonworks-spark/shc
You can see lot of examples on the link.
Code Example:
val fileRDD = sc.textFile(args(0), 2)
val transformedRDD = fileRDD.map { line => convertToKeyValuePairs(line) }
val conf = HBaseConfiguration.create()
conf.set(TableOutputFormat.OUTPUT_TABLE, "tableName")
conf.set("hbase.zookeeper.quorum", "localhost:2181")
conf.set("hbase.master", "localhost:60000")
conf.set("fs.default.name", "hdfs://localhost:8020")
conf.set("hbase.rootdir", "/hbase")
val jobConf = new Configuration(conf)
jobConf.set("mapreduce.job.output.key.class", classOf[Text].getName)
jobConf.set("mapreduce.job.output.value.class", classOf[LongWritable].getName)
jobConf.set("mapreduce.outputformat.class", classOf[TableOutputFormat[Text]].getName)
transformedRDD.saveAsNewAPIHadoopDataset(jobConf)
def convertToKeyValuePairs(line: String): (ImmutableBytesWritable, Put) = {
val cfDataBytes = Bytes.toBytes("cf")
val rowkey = Bytes.toBytes(line.split("\\|")(1))
val put = new Put(rowkey)
put.add(cfDataBytes, Bytes.toBytes("PaymentDate"), Bytes.toBytes(line.split("|")(0)))
put.add(cfDataBytes, Bytes.toBytes("PaymentNumber"), Bytes.toBytes(line.split("|")(1)))
put.add(cfDataBytes, Bytes.toBytes("VendorName"), Bytes.toBytes(line.split("|")(2)))
put.add(cfDataBytes, Bytes.toBytes("Category"), Bytes.toBytes(line.split("|")(3)))
put.add(cfDataBytes, Bytes.toBytes("Amount"), Bytes.toBytes(line.split("|")(4)))
return (new ImmutableBytesWritable(rowkey), put)
}
