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HbMain.scala
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HbMain.scala
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package top.spoofer.hbrdd
import org.apache.hadoop.hbase.filter.CompareFilter.CompareOp
import org.apache.spark.{ SparkContext, SparkConf }
import top.spoofer.hbrdd.config.HbRddConfig
object HbMain {
private val master = "localhost"
private val port = "7077"
private val appName = "hbase-rdd_spark"
private val data = "hdfs://localhost:9000/test/hbase/testhb"
private def testRdd2Hbase() = {
implicit val hbConfig = HbRddConfig()
val sparkConf = new SparkConf().setMaster("local[2]").setAppName(appName)
// val sparkConf = new SparkConf().setAppName(appName)
val sc = new SparkContext(sparkConf)
val ret = sc.textFile(data).map({ line =>
val Array(k, col1, col2, _) = line split "\t"
val content = Map("cf1" -> Map("testqualifier" -> col1), "cf2" -> Map("testqualifier2" -> col2))
k -> content //(rowID, Map[family, Map[qualifier, value]])
}).put2Hbase("test_hbrdd")
sc.stop()
}
private def testRdd2HbaseTs() = {
implicit val hbConfig = HbRddConfig()
val sparkConf = new SparkConf()
.setMaster(s"spark://$master:$port").set("executor-memory", "2g")
.setAppName(appName).setJars(List("/home/spoofer/coding/hbrdd/out/artifacts/hbrdd_jar/hbrdd.jar"))
val sc = new SparkContext(sparkConf)
val ret = sc.textFile(data).map({ line =>
val Array(k, col1, col2, _) = line split "\t"
val content = Map("cf1" -> Map("testqualifier" -> (123L, col1)))
k -> content //(rowID, Map[family, Map[qualifier, value]])
}).put2Hbase("test_hbrdd")
sc.stop()
}
private def testSingleFamilyRdd2Hbase() = {
implicit val hbConfig = HbRddConfig()
val sparkConf = new SparkConf()
.setMaster(s"spark://$master:$port").set("executor-memory", "2g")
.setAppName(appName).setJars(List("/home/spoofer/coding/hbrdd/out/artifacts/hbrdd_jar/hbrdd.jar"))
val sc = new SparkContext(sparkConf)
val ret = sc.textFile(data).map({ line =>
val Array(k, col1, col2, _) = line split "\t"
val content = Map("testqualifier" -> col1)
k -> content //(rowID, Map[family, Map[qualifier, value]])
}).put2Hbase("test_hbrdd", "cf1")
sc.stop()
}
private def testSingleFamilyRdd2HbaseTs() = {
implicit val hbConfig = HbRddConfig()
val sparkConf = new SparkConf()
.setMaster(s"spark://$master:$port").set("executor-memory", "2g")
.setAppName(appName).setJars(List("/home/spoofer/coding/hbrdd/out/artifacts/hbrdd_jar/hbrdd.jar"))
val sc = new SparkContext(sparkConf)
val ret = sc.textFile(data).map({ line =>
val Array(k, col1, col2, _) = line split "\t"
val content = Map("testqualifier" -> (123L, col1))
k -> content //(rowID, Map[family, Map[qualifier, value]])
}).put2Hbase("test_hbrdd", "cf1")
sc.stop()
}
private def testReadHbase() = {
import org.apache.hadoop.hbase.filter.{ FilterList, SingleColumnValueFilter }
implicit val hbConfig = HbRddConfig()
val savePath = "hdfs://localhost:9000/test/spark/hbase/calculation_result"
val sparkConf = new SparkConf()
.setMaster(s"spark://$master:$port").set("executor-memory", "2g")
.setAppName(appName).setJars(List("/home/spoofer/coding/hbrdd/out/artifacts/hbrdd_jar/hbrdd.jar"))
val sc = new SparkContext(sparkConf)
val filterList = new FilterList(FilterList.Operator.MUST_PASS_ALL)
val filter1 = new SingleColumnValueFilter("cf1".getBytes, "testqualifier".getBytes, CompareOp.EQUAL, "'S0My9O0dN".getBytes)
filterList.addFilter(filter1)
val qualifiers = Set("testqualifier")
val tableStructure = Map[String, Set[String]]("cf1" -> qualifiers)
val families = Set[String]("cf1")
val rdd = sc.readHbase[String]("test_hbrdd", families, filterList)
println(rdd.count())
rdd.saveAsTextFile(savePath)
sc.stop()
}
private def testdeleteHbase() = {
implicit val hbConfig = HbRddConfig()
val savePath = "hdfs://localhost:9000/test/spark/hbase/calculation_result"
val sparkConf = new SparkConf()
.setMaster(s"spark://$master:$port").set("executor-memory", "2g")
.setAppName(appName).setJars(List("/home/spoofer/coding/hbrdd/out/artifacts/hbrdd_jar/hbrdd.jar"))
val sc = new SparkContext(sparkConf)
val ret = sc.parallelize(List("!7ls>'L%yz", "!AIvygne\\9"), 3).deleteHbase("test_hbrdd")
/* 删除cf2的testqualifier2的内容, 可以指定多个family的多个qualifier */
// val ret = sc.parallelize(List("\"'K.\"B\"@bE", "\")l8I=_$@W"), 3).deleteHbase("test_hbrdd", Map("cf1" -> Set("testqualifier")))
/* 删除cf2的testqualifier2的内容, 可以指定cf2中多个qualifier */
// val ret = sc.parallelize(List("!t@B+b3`5?"), 3).deleteHbase("test_hbrdd", "cf2", Set("testqualifier2"))
/* 删除cf1, 不管cf1中有多少个qualifier */
// val ret = sc.parallelize(List("!]emBlu0Gd", "!c+LpGh-UN"), 3).deleteHbase("test_hbrdd", Set("cf1"))
println(ret.getClass)
sc.stop()
}
private def testdeleteHbase1() = {
implicit val hbConfig = HbRddConfig()
val savePath = "hdfs://localhost:9000/test/spark/hbase/calculation_result"
val sparkConf = new SparkConf()
.setMaster(s"spark://$master:$port").set("executor-memory", "1g")
.setAppName(appName).setJars(List("/home/spoofer/coding/hbrdd/out/artifacts/hbrdd_jar/hbrdd.jar"))
val sc = new SparkContext(sparkConf)
val qualifier = Set("testqualifier")
// val rdd = sc.parallelize(List("!Hv[|[-K*o", "!IOJ]'M%o5"), 3).map({ rowId =>
//// val content = Map("cf1" -> Set("testqualifier"))
// rowId -> Set("testqualifier")
// })
//
// rdd.deleteHbase("test_hbrdd", "cf1")
// rdd.saveAsTextFile(savePath)
val ret = sc.textFile(data).map({ line =>
val Array(rowId, col1, col2, _) = line split "\t"
val content = Map("cf1" -> Set("testqualifier"))
rowId -> content //(rowID, Map[family, Set[qualifier]])
}).deleteHbase("test_hbrdd")
println(ret.getClass)
sc.stop()
}
private def testSimpleHbaseBluk(): Unit = {
implicit val hbConfig = HbRddConfig()
val sparkConf = new SparkConf().setMaster("local[2]").setAppName(appName)
// val sparkConf = new SparkConf().setAppName(appName)
val sc = new SparkContext(sparkConf)
val ret = sc.textFile(data).map({ line =>
val Array(k, col1, col2, _) = line split "\t"
val content = Map("testqualifier" -> col1)
k -> content //(rowID, Map[qualifier, value])
}).saveToHbaseByBulk("test_hbrdd", "cf1")
sc.stop()
}
private def testSimpleHbaseBlukTs() = {
implicit val hbConfig = HbRddConfig()
val sparkConf = new SparkConf().setMaster("local[2]").setAppName(appName)
// val sparkConf = new SparkConf().setAppName(appName)
val sc = new SparkContext(sparkConf)
val ret = sc.textFile(data).map({ line =>
val Array(k, col1, col2, _) = line split "\t"
val content = Map("testqualifier" -> (System.currentTimeMillis(), col1))
k -> content //(rowID, Map[qualifier, value])
}).saveToHbaseByBulk("test_hbrdd", "cf1")
sc.stop()
}
private def testHbaseBluk() = {
implicit val hbConfig = HbRddConfig()
val sparkConf = new SparkConf().setMaster("local[2]").setAppName(appName)
// val sparkConf = new SparkConf().setAppName(appName)
val sc = new SparkContext(sparkConf)
val ret = sc.textFile(data).map({ line =>
val Array(k, col1, col2, _) = line split "\t"
val content = Map("cf1" -> Map("testqualifier" -> col1))
k -> content //(rowID, Map[qualifier, value])
}).saveToHbaseByBulk("test_hbrdd")
sc.stop()
}
private def testHbaseBlukTs() = {
implicit val hbConfig = HbRddConfig()
val sparkConf = new SparkConf().setMaster("local[2]").setAppName(appName)
// val sparkConf = new SparkConf().setAppName(appName)
val sc = new SparkContext(sparkConf)
val ret = sc.textFile(data).map({ line =>
val Array(k, col1, col2, _) = line split "\t"
val content = Map("cf1" -> Map("testqualifier" -> (System.currentTimeMillis(), col1)))
k -> content //(rowID, Map[qualifier, value])
}).saveToHbaseByBulk("test_hbrdd")
sc.stop()
}
def main(args: Array[String]) {
System.setProperty("HADOOP_USER_NAME", "spoofer")
// this.testHbaseBlukTs()
// this.testHbaseBluk()
// this.testRdd2Hbase()
// this.testSimpleHbaseBluk()
// this.testSimpleHbaseBlukTs()
this.testReadHbase()
// this.testSingleFamilyRdd2Hbase()
// this.testdeleteHbase()
// this.testdeleteHbase1()
}
}