IDEA中 Spark 读Hbase 报错处理：

SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]
// :: ERROR RecoverableZooKeeper: ZooKeeper exists failed after  attempts
// :: ERROR ZooKeeperWatcher: hconnection-0xaaa0f760x0, quorum=localhost:, baseZNode=/hbase Received unexpected KeeperException, re-throwing exception
org.apache.zookeeper.KeeperException$ConnectionLossException: KeeperErrorCode = ConnectionLoss for /hbase/hbaseid
    at org.apache.zookeeper.KeeperException.create(KeeperException.java:)
    at org.apache.zookeeper.KeeperException.create(KeeperException.java:)
    at org.apache.zookeeper.ZooKeeper.exists(ZooKeeper.java:)
    at org.apache.hadoop.hbase.zookeeper.RecoverableZooKeeper.exists(RecoverableZooKeeper.java:)
    at org.apache.hadoop.hbase.zookeeper.ZKUtil.checkExists(ZKUtil.java:)
    at org.apache.hadoop.hbase.zookeeper.ZKClusterId.readClusterIdZNode(ZKClusterId.java:)
    at org.apache.hadoop.hbase.client.ZooKeeperRegistry.getClusterId(ZooKeeperRegistry.java:)
    at org.apache.hadoop.hbase.client.ConnectionManager$HConnectionImplementation.retrieveClusterId(ConnectionManager.java:)
    at org.apache.hadoop.hbase.client.ConnectionManager$HConnectionImplementation.<init>(ConnectionManager.java:)
    at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
    at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:)
    at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:)
    at java.lang.reflect.Constructor.newInstance(Constructor.java:)
    at org.apache.hadoop.hbase.client.ConnectionFactory.createConnection(ConnectionFactory.java:)
    at org.apache.hadoop.hbase.client.ConnectionFactory.createConnection(ConnectionFactory.java:)
    at org.apache.hadoop.hbase.client.ConnectionFactory.createConnection(ConnectionFactory.java:)
    at org.apache.hadoop.hbase.mapreduce.TableInputFormat.initialize(TableInputFormat.java:)
    at org.apache.hadoop.hbase.mapreduce.TableInputFormatBase.getSplits(TableInputFormatBase.java:)
    at org.apache.hadoop.hbase.mapreduce.TableInputFormat.getSplits(TableInputFormat.java:)
    at org.apache.spark.rdd.NewHadoopRDD.getPartitions(NewHadoopRDD.scala:)
    at org.apache.spark.rdd.RDD$$anonfun$partitions$.apply(RDD.scala:)
    at org.apache.spark.rdd.RDD$$anonfun$partitions$.apply(RDD.scala:)
    at scala.Option.getOrElse(Option.scala:)
    at org.apache.spark.rdd.RDD.partitions(RDD.scala:)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:)
    at org.apache.spark.rdd.RDD.count(RDD.scala:)
    at 读Hbase数据$.main(读Hbase数据.scala:)
    at 读Hbase数据.main(读Hbase数据.scala)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:)
    at java.lang.reflect.Method.invoke(Method.java:)
    at com.intellij.rt.execution.application.AppMain.main(AppMain.java:)
Exception in thread "main" org.apache.hadoop.hbase.client.RetriesExhaustedException: Can't get the locations
    at org.apache.hadoop.hbase.client.RpcRetryingCallerWithReadReplicas.getRegionLocations(RpcRetryingCallerWithReadReplicas.java:)
    at org.apache.hadoop.hbase.client.ScannerCallableWithReplicas.call(ScannerCallableWithReplicas.java:)
    at org.apache.hadoop.hbase.client.ScannerCallableWithReplicas.call(ScannerCallableWithReplicas.java:)
    at org.apache.hadoop.hbase.client.RpcRetryingCaller.callWithoutRetries(RpcRetryingCaller.java:)
    at org.apache.hadoop.hbase.client.ClientScanner.call(ClientScanner.java:)
    at org.apache.hadoop.hbase.client.ClientScanner.nextScanner(ClientScanner.java:)
    at org.apache.hadoop.hbase.client.ClientScanner.initializeScannerInConstruction(ClientScanner.java:)
    at org.apache.hadoop.hbase.client.ClientScanner.<init>(ClientScanner.java:)
    at org.apache.hadoop.hbase.client.HTable.getScanner(HTable.java:)
    at org.apache.hadoop.hbase.client.MetaScanner.metaScan(MetaScanner.java:)
    at org.apache.hadoop.hbase.client.MetaScanner.metaScan(MetaScanner.java:)
    at org.apache.hadoop.hbase.client.MetaScanner.allTableRegions(MetaScanner.java:)
    at org.apache.hadoop.hbase.client.HRegionLocator.getAllRegionLocations(HRegionLocator.java:)
    at org.apache.hadoop.hbase.util.RegionSizeCalculator.init(RegionSizeCalculator.java:)
    at org.apache.hadoop.hbase.util.RegionSizeCalculator.<init>(RegionSizeCalculator.java:)
    at org.apache.hadoop.hbase.mapreduce.TableInputFormatBase.getSplits(TableInputFormatBase.java:)
    at org.apache.hadoop.hbase.mapreduce.TableInputFormat.getSplits(TableInputFormat.java:)
    at org.apache.spark.rdd.NewHadoopRDD.getPartitions(NewHadoopRDD.scala:)
    at org.apache.spark.rdd.RDD$$anonfun$partitions$.apply(RDD.scala:)
    at org.apache.spark.rdd.RDD$$anonfun$partitions$.apply(RDD.scala:)
    at scala.Option.getOrElse(Option.scala:)
    at org.apache.spark.rdd.RDD.partitions(RDD.scala:)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:)
    at org.apache.spark.rdd.RDD.count(RDD.scala:)
    at 读Hbase数据$.main(读Hbase数据.scala:)
    at 读Hbase数据.main(读Hbase数据.scala)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:)
    at java.lang.reflect.Method.invoke(Method.java:)
    at com.intellij.rt.execution.application.AppMain.main(AppMain.java:)

问题处理：

在IDEA Spark程序中需要操作Hbase时，需要:start-hbase.sh 启动Hbase服务。不然就会报以上错误