我编写了一个从hbase读取数据的简单程序，该程序在cloudera中由hdfs支持。
但是在用s3测试emr数据时出现了一个异常。

// Spark conf
        SparkConf sparkConf = new SparkConf().setMaster("local[4]").setAppName("My App");
        JavaSparkContext jsc = new JavaSparkContext(sparkConf);
        // Hbase conf
        Configuration conf = HBaseConfiguration.create();
        conf.set("hbase.zookeeper.quorum","localhost");
        conf.set("hbase.zookeeper.property.client.port","2181");
        // Submit scan into hbase conf
 //       conf.set(TableInputFormat.SCAN, TableMapReduceUtil.convertScanToString(scan));

        conf.set(TableInputFormat.INPUT_TABLE, "mytable");
        conf.set(TableInputFormat.SCAN_ROW_START, "startrow");
        conf.set(TableInputFormat.SCAN_ROW_STOP, "endrow");

        // Get RDD
        JavaPairRDD<ImmutableBytesWritable, Result> source = jsc
                .newAPIHadoopRDD(conf, TableInputFormat.class,
                        ImmutableBytesWritable.class, Result.class);

        // Process RDD
        System.out.println("&&&&&&&&&&&&&&&&&&&&&&& " + source.count());

18/05/04 00:22:02信息metricregistries:加载的metricregistries类org.apache.hadoop.hbase.metrics.impl.metricregistriesimpl 18/05/04 00:22:02错误tableinputformat:java.io.ioexception:java.lang.reflect.invocationtargetexception位于org.apache.hadoop.hbase.client.connectionfactory.createconnection（connectionfactory）。java:240)原因：sun.reflect.nativeconstructoraccessorimpl.newinstance0（本机方法）位于sun.reflect.nativeconstructoraccessorimpl.newinstance（nativeconstructoraccessorimpl）。java:62)在sun.reflect.delegatingconstructoraccessorimpl.newinstance（delegatingconstructoraccessorimpl。java:45)在java.lang.reflect.constructor.newinstance（构造函数。java:423)在org.apache.hadoop.hbase.client.connectionfactory.createconnection（connectionfactory。java:238)原因：java.lang.illegalaccesserror:尝试从org.apache.hadoop.metrics2.lib.metricsinfoimpl类访问org.apache.hadoop.metrics2.lib.dynamicmetricsregistryorg.apache.hadoop.metrics2.lib.dynamicmetricsregistry.newgauge（dynamicmetricsregistry）。java:139)在org.apache.hadoop.hbase.zookeeper.metricszookeepersourceimpl。java:59)在org.apache.hadoop.hbase.zookeeper.metricszookeepersourceimpl。java:51)在sun.reflect.nativeconstructoraccessorimpl.newinstance0（本机方法）位于sun.reflect.nativeconstructoraccessorimpl.newinstance（nativeconstructoraccessorimpl）。java:62)在sun.reflect.delegatingconstructoraccessorimpl.newinstance（delegatingconstructoraccessorimpl。java:45)在java.lang.reflect.constructor.newinstance（constructor。java:423)在java.lang.class.newinstance（类。java:442)在java.util.serviceloader$lazyiterator.nextservice（serviceloader。java:380) ... 42个以上

Exception in thread "main" java.io.IOException: Cannot create a record reader because of a previous error. Please look at the previous

记录任务完整日志中的行以获取更多详细信息。位于org.apache.hadoop.hbase.mapreduce.tableinputformatbase.getsplits（tableinputformatbase）。java:270)位于org.apache.hadoop.hbase.mapreduce.tableinputformat.getsplits（tableinputformat）。java:256)在org.apache.spark.rdd.newhadooprdd.getpartitions（newhadooprdd。scala:125)在org.apache.spark.rdd.rdd$$anonfun$partitions$2.apply（rdd。scala:252)在org.apache.spark.rdd.rdd$$anonfun$分区$2.apply（rdd。scala:250)在scala.option.getorelse（option。scala:121)在org.apache.spark.rdd.rdd.partitions（rdd。scala:250)在org.apache.spark.sparkcontext.runjob（sparkcontext。scala:2094)在org.apache.spark.rdd.rdd.count（rdd。scala:1158)在org.apache.spark.api.java.javarddlike$class.count（javarddlike。scala:455)在org.apache.spark.api.java.abstractjavarddlike.count（javarddlike。scala:45)在hbascan.main（hbascan。java:60)在sun.reflect.nativemethodaccessorimpl.invoke0（本机方法）在sun.reflect.nativemethodaccessorimpl.invoke（nativemethodaccessorimpl）。java:62)在sun.reflect.delegatingmethodaccessorimpl.invoke（delegatingmethodaccessorimpl。java:43)在java.lang.reflect.method.invoke（方法。java:498)在org.apache.spark.deploy.sparksubmit$.org$apache$spark$deploy$sparksubmit$$runmain（sparksubmit）。scala:775)在org.apache.spark.deploy.sparksubmit$.dorunmain$1（sparksubmit。scala:180)在org.apache.spark.deploy.sparksubmit$.submit（sparksubmit。scala:205)位于org.apache.spark.deploy.sparksubmit$.main（sparksubmit.com）。scala:119)在org.apache.spark.deploy.sparksubmit.main（sparksubmit.scala）上，由于：java.lang.illegalstateexception:输入格式示例未正确初始化。确保在构造函数中调用initializetable，或者在org.apache.hadoop.hbase.mapreduce.tableinputformatbase.gettable（tableinputformatbase）中调用initializetable方法。java:652)位于org.apache.hadoop.hbase.mapreduce.tableinputformatbase.getsplits（tableinputformatbase）。java:265) ... 所有apache hbase库还有20个：e.hadoop.hbase.metrics.impl.metricregistriesimpl 18/05/04 04 04:05:54 error tableinputformat:java.io.ioexception:java.lang.reflect.invocationtargetexception位于org.apache.hadoop.hbase.client.connectionfactory.createconnection（connectionfactory）。java:240)在org.apache.hadoop.hbase.client.connectionfactory.createconnection（connectionfactory。java:218)在org.apache.hadoop.hbase.client.connectionfactory.createconnection（connectionfactory。java:119)位于org.apache.hadoop.hbase.mapreduce.tableinputformat.initialize（tableinputformat）。java:202)在org.apache.hadoop.hbase.mapreduce.tableinputformatbase.getsplits（tableinputformatbase）。java:259)位于org.apache.hadoop.hbase.mapreduce.tableinputformat.getsplits（tableinputformat）。java:256)在org.apache.spark.rdd.newhadooprdd.getpartitions（newhadooprdd。scala:125)在org.apache.spark.rdd.rdd$$anonfun$partitions$2.apply（rdd。scala:252)在org.apache.spark.rdd.rdd$$anonfun$分区$2.apply（rdd。scala:250)在scala.option.getorelse（option。scala:121)在org.apache.spark.rdd.rdd.partitions（rdd。scala:250)在org.apache.spark.sparkcontext.runjob（sparkcontext。scala:2094)在org.apache.spark.rdd.rdd.count（rdd。scala:1158)在org.apache.spark.api.java.javarddlike$class.count（javarddlike。scala:455)在org.apache.spark.api.java.abstractjavarddlike.count（javarddlike。scala:45)在hbascan.main（hbascan。java:60)在sun.reflect.nativemethodaccessorimpl.invoke0（本机方法）在sun.reflect.nativemethodaccessorimpl.invoke（nativemethodaccessorimpl）。java:62)在sun.reflect.delegatingmethodaccessorimpl.invoke（delegatingmethodaccessorimpl。java:43)在java.lang.reflect.method.invoke（方法。java:498)在org.apache.spark.deploy.sparksubmit$.org$apache$spark$deploy$sparksubmit$$runmain（sparksubmit）。scala:775)在org.apache.spark.deploy.sparksubmit$.dorunmain$1（sparksubmit。scala:180)在org.apache.spark.deploy.sparksubmit$.submit（sparksubmit。scala:205)位于org.apache.spark.deploy.sparksubmit$.main（sparksubmit.com）。scala:119)在org.apache.spark.deploy.sparksubmit.main（sparksubmit.scala）上，由以下原因引起：java.lang.reflect.invocationtargetexception at sun.reflect.nativeconstructoraccessorimpl.newinstance0（本机方法）atsun.reflect.nativeconstructoraccessorimpl.newinstance（nativeconstructoraccessorimpl。java:62)在sun.reflect.delegatingconstructoraccessorimpl.newinstance（delegatingconstructoraccessorimpl。java:45)在java.lang.reflect.constructor.newinstance（constructor。java:423)在org.apache.hadoop.hbase.client.connectionfactory.createconnection（connectionfactory。java:238) ... 24更多原因：java.lang.runtimeexception:无法创建接口org.apache.hadoop.hbase.zookeeper.metricszookeepersource是类路径上的hadoop兼容性jar吗？位于org.apache.hadoop.hbase.compatibilitysingletonfactory.getinstance（compatibilitysingletonfactory）。java:75)在org.apache.hadoop.hbase.zookeeper.metricszookeeper。java:38)在org.apache.hadoop.hbase.zookeeper.recoverablezookeeper。java:130)在org.apache.hadoop.hbase.zookeeper.zkutil.connect（zkutil。java:143) 在org.apache.hadoop.hbase.zookeeper.zookeeperwatcher。java:181)在org.apache.hadoop.hbase.zookeeper.zookeeperwatcher。java:155)在org.apache.hadoop.hbase.client.zookeeperkeepaliveconnection.（zookeeperkeepaliveconnection。java:43)在org.apache.hadoop.hbase.client.connectionmanager$hconnectionimplementation.getkeepalivezookeeperwatcher（connectionmanager）。java:1737)