java.io.FileNotFoundException when trying to store a Spark RDD to HBase

Question

I'm trying to load some data from HDFS into HBase as follows:

String dir = "/tmp/eloued";
Configuration config = HBaseConfiguration.create();
config.set(SequenceFileInputFormat.INPUT_DIR, dir);
// serialization
config.setStrings("io.serializations", config.get("io.serializations"),
        MutationSerialization.class.getName(),
        ResultSerialization.class.getName());
JavaPairRDD<ImmutableBytesWritable, Put> input = context.newAPIHadoopRDD(config, SequenceFileInputFormat.class, ImmutableBytesWritable.class, Put.class);
JobConf jobConfig = new JobConf(config, this.getClass());
jobConfig.setOutputFormat(org.apache.hadoop.hbase.mapred.TableOutputFormat.class);
jobConfig.set(org.apache.hadoop.hbase.mapred.TableOutputFormat.OUTPUT_TABLE, tableName);
input.saveAsHadoopDataset(jobConfig);

Inside the dir directory I have two folders as follows:

drwxr-xr-x   - hadoop hadoop          0 2017-05-26 06:40 /tmp/eloued/object
-rw-r--r--   3 hadoop hadoop          0 2017-05-26 06:40 /tmp/eloued/object/_SUCCESS
-rw-r--r--   3 hadoop hadoop        896 2017-05-26 06:40 /tmp/eloued/object/part-r-00000
drwxr-xr-x   - hadoop hadoop          0 2017-05-26 06:40 /tmp/eloued/status
-rw-r--r--   3 hadoop hadoop          0 2017-05-26 06:40 /tmp/eloued/status/_SUCCESS
-rw-r--r--   3 hadoop hadoop        111 2017-05-26 06:40 /tmp/eloued/status/part-r-00000

Now when I call the code above I see the following exception:

java.io.FileNotFoundException: File does not exist: hdfs://tmp/eloued/object/data
    at org.apache.hadoop.hdfs.DistributedFileSystem$22.doCall(DistributedFileSystem.java:1309)
    at org.apache.hadoop.hdfs.DistributedFileSystem$22.doCall(DistributedFileSystem.java:1301)
    at org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
    at org.apache.hadoop.hdfs.DistributedFileSystem.getFileStatus(DistributedFileSystem.java:1317)
    at org.apache.hadoop.mapreduce.lib.input.SequenceFileInputFormat.listStatus(SequenceFileInputFormat.java:67)
    at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.getSplits(FileInputFormat.java:385)
    at org.apache.spark.rdd.NewHadoopRDD.getPartitions(NewHadoopRDD.scala:115)
    at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
    at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
    at scala.Option.getOrElse(Option.scala:120)
    at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:1914)
    at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1.apply$mcV$sp(PairRDDFunctions.scala:1124)
    at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1.apply(PairRDDFunctions.scala:1065)
    at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1.apply(PairRDDFunctions.scala:1065)
    at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
    at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108)
    at org.apache.spark.rdd.RDD.withScope(RDD.scala:310)
    at org.apache.spark.rdd.PairRDDFunctions.saveAsHadoopDataset(PairRDDFunctions.scala:1065)
    at org.apache.spark.api.java.JavaPairRDD.saveAsHadoopDataset(JavaPairRDD.scala:836)
    at com.ddn.cloud.replication.storage.SparkConsumerJob.run(SparkConsumerJob.java:46)
    at dz.lab.HBaseSparkTest.testConsumerProcessObject(NSReplicationHBaseSparkTest.java:223)
    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.junit.runners.model.FrameworkMethod$1.runReflectiveCall(FrameworkMethod.java:47)
    at org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:12)
    at org.junit.runners.model.FrameworkMethod.invokeExplosively(FrameworkMethod.java:44)
    at org.junit.internal.runners.statements.InvokeMethod.evaluate(InvokeMethod.java:17)
    at org.junit.internal.runners.statements.RunBefores.evaluate(RunBefores.java:26)
    at org.junit.internal.runners.statements.RunAfters.evaluate(RunAfters.java:27)
    at org.junit.rules.TestWatcher$1.evaluate(TestWatcher.java:55)
    at org.junit.rules.RunRules.evaluate(RunRules.java:20)
    at org.junit.runners.ParentRunner.runLeaf(ParentRunner.java:271)
    at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:70)
    at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:50)
    at org.junit.runners.ParentRunner$3.run(ParentRunner.java:238)
    at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:63)
    at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:236)
    at org.junit.runners.ParentRunner.access$000(ParentRunner.java:53)
    at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:229)
    at org.junit.internal.runners.statements.RunBefores.evaluate(RunBefores.java:26)
    at org.junit.internal.runners.statements.RunAfters.evaluate(RunAfters.java:27)
    at org.junit.runners.ParentRunner.run(ParentRunner.java:309)
    at org.junit.runner.JUnitCore.run(JUnitCore.java:160)
    at com.intellij.junit4.JUnit4IdeaTestRunner.startRunnerWithArgs(JUnit4IdeaTestRunner.java:68)
    at com.intellij.rt.execution.junit.IdeaTestRunner$Repeater.startRunnerWithArgs(IdeaTestRunner.java:51)
    at com.intellij.rt.execution.junit.JUnitStarter.prepareStreamsAndStart(JUnitStarter.java:237)
    at com.intellij.rt.execution.junit.JUnitStarter.main(JUnitStarter.java:70)
    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 com.intellij.rt.execution.application.AppMain.main(AppMain.java:147)

Why the suffix data is added to the path spark will try to read data from? The strange thing is when the dir folder have only one subfolder then no exception is raised and the data is effectively stored in HBase.

Answer 1

将/tmp/eloud更改为/tmp/eloued然后就完成了:)

Answer 2

I simply had to specify the different folders and separate them with , . So instead of:

config.set(SequenceFileInputFormat.INPUT_DIR, "/tmp/eloued");

I should have done:

config.set(SequenceFileInputFormat.INPUT_DIR, "/tmp/eloued/object,/tmp/eloued/status");

And it works fine.