spark集成hbase与hive数据转换与代码练习

 1 import java.util.Date
 2 
 3 import org.apache.hadoop.hbase.HBaseConfiguration
 4 import org.apache.hadoop.hbase.client.{Put, Scan, Result}
 5 import org.apache.hadoop.hbase.io.ImmutableBytesWritable
 6 import org.apache.hadoop.hbase.mapred.TableOutputFormat
 7 import org.apache.hadoop.hbase.mapreduce.TableInputFormat
 8 import org.apache.hadoop.hbase.util.Bytes
 9 import org.apache.hadoop.mapred.JobConf
10 import org.apache.log4j.{Level, Logger}
11 import org.apache.spark.rdd.RDD
12 import org.apache.spark.sql.DataFrame
13 import org.apache.spark.sql.hive.HiveContext
14 import org.apache.spark.{SparkContext, SparkConf}
15 
16 /**
17  * Created by ysy on 2/10/17.
18  */
19 object test {
20 
21     case class ysyTest(LS_certifier_no: String,loc: String,LS_phone_no: String)
22 
23     def main (args: Array[String]) {
24       val sparkConf = new SparkConf().setMaster("local").setAppName("ysy").set("spark.executor.memory", "1g")
25       val sc = new SparkContext(sparkConf)
26       val sqlContext = new HiveContext(sc)
27       sqlContext.sql("drop table pkq")
28       val columns = "LS_certifier_no,LS_location,LS_phone_no"
29       val hbaseRDD = dataInit(sc,"EVENT_LOG_LBS",columns).map(data =>{
30         val id =Bytes.toString(data._2.getValue("f1".getBytes, "LS_certifier_no".getBytes))
31         val loc = Bytes.toString(data._2.getValue("f1".getBytes, "LS_location".getBytes))
32         val phone = Bytes.toString(data._2.getValue("f1".getBytes, "LS_phone_no".getBytes))
33         (id,loc,phone)
34       })
35       val showData = hbaseRDD.foreach(println)
36       val datas = hbaseRDD.filter(_._1 != null).filter(_._2 != null).filter(_._3 != null)
37       val hiveDF = initHiveTableFromHbase(sc:SparkContext,sqlContext,datas)
38       writeHiveTableToHbase(sc,hiveDF)
39 
40 
41     }
42 
43   def initHiveTableFromHbase(sc:SparkContext,sqlContext: HiveContext,hiveRDD:RDD[(String,String,String)]) : DataFrame = {
44     val hRDD = hiveRDD.map(p => ysyTest(p._1,p._2,p._3))
45       val hiveRDDSchema = sqlContext.createDataFrame(hiveRDD)
46       hiveRDDSchema.registerTempTable("pkq")
47       hiveRDDSchema.show(10)
48       hiveRDDSchema
49   }
50 
51   def dataInit(sc : SparkContext,tableName : String,columns : String) : RDD[(ImmutableBytesWritable,Result)] = {
52     val configuration = HBaseConfiguration.create()
53     configuration.addResource("hbase-site.xml")
54     configuration.set(TableInputFormat.INPUT_TABLE,tableName )
55     val scan = new Scan
56     val column = columns.split(",")
57     for(columnName <- column){
58       scan.addColumn("f1".getBytes(),columnName.getBytes())
59     }
60     val hbaseRDD = sc.newAPIHadoopRDD(configuration,classOf[TableInputFormat],classOf[org.apache.hadoop.hbase.io.ImmutableBytesWritable],classOf[org.apache.hadoop.hbase.client.Result])
61     System.out.println(hbaseRDD.count())
62     hbaseRDD
63   }
64 
65   def writeHiveTableToHbase(sc : SparkContext,hiveDF : DataFrame) = {
66     val configuration = HBaseConfiguration.create()
67     configuration.addResource("hbase-site.xml ")
68     configuration.set(TableOutputFormat.OUTPUT_TABLE,"EVENT_LOG_LBS")
69     val jobConf = new JobConf(configuration)
70     jobConf.setOutputFormat(classOf[TableOutputFormat])
71 
72     val putData = hiveDF.map(data =>{
73       val LS_certifier_no = data(0)
74       val LS_location = data(1)
75       val LS_phone_no = data(2)
76       (LS_certifier_no,LS_location,LS_phone_no)
77     })
78 
79     val rdd = putData.map(datas =>{
80       val put = new Put(Bytes.toBytes(Math.random()))
81       put.addColumn("f1".getBytes(),"LS_certifier_no".getBytes(),Bytes.toBytes(datas._1.toString))
82       put.addColumn("f1".getBytes(),"LS_location".getBytes(),Bytes.toBytes(datas._2.toString))
83       put.addColumn("f1".getBytes(),"LS_phone_no".getBytes(),Bytes.toBytes(datas._3.toString))
84       (new ImmutableBytesWritable, put)
85     })
86     val showRdd = rdd.foreach(println)
87     rdd.saveAsHadoopDataset(jobConf)
88   }
89 
90   }