环境： Spark2.1.0 、Hadoop-2.7.5 代码运行系统:Win 7
在运行Spark程序写出文件(savaAsTextFile)的时候，我遇到了这个错误：
// :: ERROR Utils: Aborting task
java.lang.UnsatisfiedLinkError: org.apache.hadoop.util.NativeCrc32.nativeComputeChunkedSumsByteArray(II[BI[BIILjava/lang/String;JZ)V
at org.apache.hadoop.util.NativeCrc32.nativeComputeChunkedSumsByteArray(Native Method)
at org.apache.hadoop.util.NativeCrc32.calculateChunkedSumsByteArray(NativeCrc32.java:)
at org.apache.hadoop.util.DataChecksum.calculateChunkedSums(DataChecksum.java:)
at org.apache.hadoop.fs.FSOutputSummer.writeChecksumChunks(FSOutputSummer.java:)
at org.apache.hadoop.fs.FSOutputSummer.flushBuffer(FSOutputSummer.java:)
at org.apache.hadoop.fs.FSOutputSummer.flushBuffer(FSOutputSummer.java:)
at org.apache.hadoop.fs.FSOutputSummer.write1(FSOutputSummer.java:)
at org.apache.hadoop.fs.FSOutputSummer.write(FSOutputSummer.java:)
at org.apache.hadoop.fs.FSDataOutputStream$PositionCache.write(FSDataOutputStream.java:)
at java.io.DataOutputStream.write(DataOutputStream.java:)
at org.apache.hadoop.mapred.TextOutputFormat$LineRecordWriter.writeObject(TextOutputFormat.java:)
at org.apache.hadoop.mapred.TextOutputFormat$LineRecordWriter.write(TextOutputFormat.java:)
at org.apache.spark.internal.io.SparkHadoopWriter.write(SparkHadoopWriter.scala:)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$$$anonfun$$$anonfun$apply$.apply$mcV$sp(PairRDDFunctions.scala:)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$$$anonfun$$$anonfun$apply$.apply(PairRDDFunctions.scala:)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$$$anonfun$$$anonfun$apply$.apply(PairRDDFunctions.scala:)
at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$$$anonfun$.apply(PairRDDFunctions.scala:)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$$$anonfun$.apply(PairRDDFunctions.scala:)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:)
at org.apache.spark.scheduler.Task.run(Task.scala:)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:)
at java.lang.Thread.run(Thread.java:)
// :: ERROR Executor: Exception in task 0.0 in stage 11.0 (TID )
查到的还是什么window远程访问Hadoop的错误，最后查阅官方文档HADOOP-11064
后来在网上找到解决方案是:由于hadoop.dll 版本问题出现的，这是由于hadoop.dll 版本问题，2.4之前的和之后的需要的不一样，需要选择正确的版本(包括操作系统的版本),并且在 Hadoop/bin上将其替换。
我的hadoop是2.7.5的，我之前用的是1.2的hadoop.dll,后来根据网上的说法换了hadoop.dll,找了2.6的还是不行，原来我找的2.6的是32位操作系统的，后来幸运找到了2.6的64位的hadoop.dll。
Hadoop的在windows系统中运行时需要添加win系统的支持,最开始找的版本比较老换成新的dell文件即可