我正在使用独立的 spark，并且在运行一个使用RDD对写入序列文件的程序时，我得到以下错误：
ERROR nativeio.NativeIO: Unable to initialize NativeIO libraries
java.lang.NoSuchFieldError: workaroundNonThreadSafePasswdCalls
at org.apache.hadoop.io.nativeio.NativeIO.initNative(Native Method)
at org.apache.hadoop.io.nativeio.NativeIO.<clinit>(NativeIO.java:58)
at org.apache.hadoop.fs.FileUtil.setPermission(FileUtil.java:653)
at org.apache.hadoop.fs.RawLocalFileSystem.setPermission(RawLocalFileSystem.java:509)
at org.apache.hadoop.fs.FilterFileSystem.setPermission(FilterFileSystem.java:286)
at org.apache.hadoop.fs.ChecksumFileSystem.create(ChecksumFileSystem.java:385)
at org.apache.hadoop.fs.ChecksumFileSystem.create(ChecksumFileSystem.java:364)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:555)
at org.apache.hadoop.io.SequenceFile$Writer.<init>(SequenceFile.java:892)
at org.apache.hadoop.io.SequenceFile.createWriter(SequenceFile.java:393)
at org.apache.hadoop.io.SequenceFile.createWriter(SequenceFile.java:354)
at org.apache.hadoop.io.SequenceFile.createWriter(SequenceFile.java:476)
at org.apache.hadoop.mapred.SequenceFileOutputFormat.getRecordWriter(SequenceFileOutputFormat.java:58)
at org.apache.spark.SparkHadoopWriter.open(SparkHadoopWriter.scala:89)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$13.apply(PairRDDFunctions.scala:980)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$13.apply(PairRDDFunctions.scala:974)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:62)
at org.apache.spark.scheduler.Task.run(Task.scala:54)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:177)
at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source)
at java.lang.Thread.run(Unknown Source)
以下是我正在使用的代码：
import java.util.ArrayList;
import java.util.List;
import scala.Tuple2;
import org.apache.spark.api.java.JavaPairRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.api.java.function.PairFunction;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapred.SequenceFileOutputFormat;
public class BasicSaveSequenceFile {
public static class ConvertToWritableTypes implements PairFunction<Tuple2<String, Integer>, Text, IntWritable> {
public Tuple2<Text, IntWritable> call(Tuple2<String, Integer> record) {
return new Tuple2(new Text(record._1), new IntWritable(record._2));
}
}
public static void main(String[] args) throws Exception {
if (args.length != 2) {
throw new Exception("Usage BasicSaveSequenceFile [sparkMaster] [output]");
}
String master = args[0];
String fileName = args[1];
JavaSparkContext sc = new JavaSparkContext(
master, "basicloadsequencefile", System.getenv("SPARK_HOME"), System.getenv("JARS"));
List<Tuple2<String, Integer>> input = new ArrayList();
input.add(new Tuple2("coffee", 1));
input.add(new Tuple2("coffee", 2));
input.add(new Tuple2("pandas", 3));
JavaPairRDD<String, Integer> rdd = sc.parallelizePairs(input);
JavaPairRDD<Text, IntWritable> result = rdd.mapToPair(new ConvertToWritableTypes());
result.saveAsHadoopFile(fileName, Text.class, IntWritable.class, SequenceFileOutputFormat.class);
}
}
我已经在pom.xml中添加了所有依赖项。你能帮忙吗？
我将 pom.xml 中spark_core jar 的版本从 1.1.0 升级到 1.3.1。此外，从pom.xml中删除了对hadoop-common jar的依赖。它对我有用!!