使用 Spark-HBase-Connector 读取 HBase

pom 依赖：

        
        
            com.hortonworks
            shc-core
            1.1.1-2.1-s_2.11
        

部分代码：

package xxxx.xxxx

import org.apache.log4j.{Level, Logger}
import org.apache.spark.sql.execution.datasources.hbase._
import org.apache.spark.sql.functions._
import org.apache.spark.sql.{DataFrame, SparkSession}

/**
  * 提交方式
  * spark2-submit  --name HBASE-CONNECTOR --files /etc/hbase/conf/hbase-site.xml --class xxx.xxxx  --master yarn    --deploy-mode cluster  --driver-memory 2g    --driver-cores 2    --executor-memory 2g    --executor-cores 1    --num-executors 2 wmanxiety-1.0-SNAPSHOT.jar --day 20180810 --repartition 500 --interval 7
  */

object MileageAnxiety {
  def cat = s"""{
               |"table":{"namespace":"default", "name":"trip_signal", "tableCoder":"PrimitiveType"},
               |"rowkey":"key",
               |"columns":{
               |"rowkey"       :{"cf":"rowkey", "col":"key",            "type":"string"},
               |"vin"          :{"cf":"info",   "col":"vin",            "type":"string"},
               |"tripStatus"   :{"cf":"info",   "col":"tripStatus",     "type":"string"},
               |"tripStartTime":{"cf":"info",   "col":"tripStartTime",  "type":"string"},
               |"tripEndTime"  :{"cf":"info",   "col":"tripEndTime",    "type":"string"},
               |"tripDistance" :{"cf":"info",   "col":"tripDistance",   "type":"string"},
               |"startSoc"     :{"cf":"info",   "col":"startSoc",       "type":"string"},
               |"endSoc"       :{"cf":"info",   "col":"endSoc",         "type":"string"},
               |"maxSpeed"     :{"cf":"info",   "col":"maxSpeed",       "type":"string"},
               |"startMileage" :{"cf":"info",   "col":"startMileage",   "type":"string"},
               |"coordinate"   :{"cf":"info",   "col":"coordinate",     "type":"string"}
               |}
               |}""".stripMargin

  def main(args: Array[String]): Unit = {
    Logger.getLogger("org").setLevel(Level.WARN)
    val spark = SparkSession.builder()
      .appName(this.getClass.getName)
      .master("local[2]")
      .getOrCreate()

    val sc = spark.sparkContext
    val sqlContext = spark.sqlContext
    import sqlContext.implicits._

    def withCatalog(cat: String): DataFrame = {
      sqlContext
        .read
        .options(Map(HBaseTableCatalog.tableCatalog -> cat))
        .format("org.apache.spark.sql.execution.datasources.hbase")
        .load()
    }

    val df = withCatalog(cat)
    df.show()
    spark.stop()
  }
}