当我尝试按照HBase Guide中的示例时，它不起作用
。它出现以下错误：java.lang.NullPointerException，整个信息如下。我猜一个对象为null，然后通过null对象调用该方法，但我不知道哪个objec为null。谁能帮助我，非常感谢。
<小时/> 感谢大家，问题现在解决了，我在使用Intellij IDE的应用程序中调试了这段代码，我发现HBaseContext没有实例化，所以当我创建一个HBaseContext对象时它运行良好。就像这样：
val hbaseContext = new HBaseContext(sc, config, null)
参考：https://hbase.apache.org/book.html#_basic_spark
“所有Spark和HBase集成的根源是HBaseContext.HBaseContext接受HBase配置并将它们推送到Spark执行器。这允许我们在静态位置为每个Spark Executor建立一个HBase连接。 “
hadoop@master:~$ spark-1.6.0-bin-hadoop2.4/bin/spark-shell --jars /home/yang/Downloads/hbase-spark-2.0.0-20160316.173537-2.jar
...
SQL context available as sqlContext.
scala> def catalog = s"""{
| |"table":{"namespace":"default", "name":"table1"},
| |"rowkey":"key",
| |"columns":{
| |"col0":{"cf":"rowkey", "col":"key", "type":"string"},
| |"col1":{"cf":"cf1", "col":"col1", "type":"string"}
| |}
| |}""".stripMargin
catalog: String
scala> case class HBaseRecord(
| col0: String,
| col1: String)
defined class HBaseRecord
scala> val data = (0 to 255).map { i => HBaseRecord(i.toString, "extra")}
data: scala.collection.immutable.IndexedSeq[HBaseRecord] = Vector(HBaseRecord(0,extra), HBaseRecord(1,extra), HBaseRecord(2,extra), HBaseRecord(3,extra), HBaseRecord(4,extra), HBaseRecord(5,extra), HBaseRecord(6,extra), HBaseRecord(7,extra), HBaseRecord(8,extra), HBaseRecord(9,extra), HBaseRecord(10,extra), HBaseRecord(11,extra), HBaseRecord(12,extra), HBaseRecord(13,extra), HBaseRecord(14,extra), HBaseRecord(15,extra), HBaseRecord(16,extra), HBaseRecord(17,extra), HBaseRecord(18,extra), HBaseRecord(19,extra), HBaseRecord(20,extra), HBaseRecord(21,extra), HBaseRecord(22,extra), HBaseRecord(23,extra), HBaseRecord(24,extra), HBaseRecord(25,extra), HBaseRecord(26,extra), HBaseRecord(27,extra), HBaseRecord(28,extra), HBaseRecord(29,extra), HBaseRecord(30,extra), HBaseRecord(31,extra), HBase...
scala> import org.apache.spark.sql.datasources.hbase
import org.apache.spark.sql.datasources.hbase
scala> sc.parallelize(data).toDF.write.options(Map(HBaseTableCatalog.tableCatalog -> catalog, HBaseTableCatalog.newTable -> "5")).format("org.apache.hadoop.hbase.spark").save()
<console>:35: error: not found: value HBaseTableCatalog
sc.parallelize(data).toDF.write.options(Map(HBaseTableCatalog.tableCatalog -> catalog, HBaseTableCatalog.newTable -> "5")).format("org.apache.hadoop.hbase.spark").save()
^
scala> import org.apache.spark.sql.datasources.hbase.{HBaseTableCatalog}
import org.apache.spark.sql.datasources.hbase.HBaseTableCatalog
scala> sc.parallelize(data).toDF.write.options(Map(HBaseTableCatalog.tableCatalog -> catalog, HBaseTableCatalog.newTable -> "5")).format("org.apache.hadoop.hbase.spark").save()
java.lang.NullPointerException
at org.apache.hadoop.hbase.spark.HBaseRelation.<init>(DefaultSource.scala:125)
at org.apache.hadoop.hbase.spark.DefaultSource.createRelation(DefaultSource.scala:74)
at org.apache.spark.sql.execution.datasources.ResolvedDataSource$.apply(ResolvedDataSource.scala:222)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:148)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:36)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:41)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:43)
at $iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:45)
at $iwC$$iwC$$iwC$$iwC.<init>(<console>:47)
at $iwC$$iwC$$iwC.<init>(<console>:49)
at $iwC$$iwC.<init>(<console>:51)
at $iwC.<init>(<console>:53)
at <init>(<console>:55)
at .<init>(<console>:59)
at .<clinit>(<console>)
at .<init>(<console>:7)
at .<clinit>(<console>)
at $print(<console>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1346)
at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857)
at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902)
at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814)
at org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:657)
at org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:665)
at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$loop(SparkILoop.scala:670)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply$mcZ$sp(SparkILoop.scala:997)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$process(SparkILoop.scala:945)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1059)
at org.apache.spark.repl.Main$.main(Main.scala:31)
at org.apache.spark.repl.Main.main(Main.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
scala>