IDEA本地执行Spark报错：is not a valid DFS filename

本地执行spark structured streaming 报错，程序代码：

def main(args: Array[String]): Unit = {
    val spark = SparkSession
      .builder
        .master("local[2]")
      .appName("sparkStream2hudi")
      .getOrCreate()
    //消费kafka
    import spark.implicits._
    val df = spark
      .readStream
      .format("kafka")
      .option("kafka.bootstrap.servers", "192.168.78.12:9092")
      .option("subscribe", "test1")
      .load()
    //打印输出
    val out = df.selectExpr("CAST(value AS STRING)")
      .as[String]
      .writeStream
      .outputMode("append")
      .format("console")
      .start()
    out.awaitTermination()
  }

项目资源文件：

 

错误日志：

22/02/21 10:24:07 INFO state.StateStoreCoordinatorRef: Registered StateStoreCoordinator endpoint
22/02/21 10:24:10 WARN shortcircuit.DomainSocketFactory: The short-circuit local reads feature cannot be used because UNIX Domain sockets are not available on Windows.
Exception in thread "main" java.lang.IllegalArgumentException: Pathname /C:/Users/lixz/AppData/Local/Temp/temporary-fde61567-9663-47b7-ba34-492e1d3d2872 from C:/Users/lixz/AppData/Local/Temp/temporary-fde61567-9663-47b7-ba34-492e1d3d2872 is not a valid DFS filename.
	at org.apache.hadoop.hdfs.DistributedFileSystem.getPathName(DistributedFileSystem.java:243)
	at org.apache.hadoop.hdfs.DistributedFileSystem$27.doCall(DistributedFileSystem.java:1321)
	at org.apache.hadoop.hdfs.DistributedFileSystem$27.doCall(DistributedFileSystem.java:1318)
	at org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
	at org.apache.hadoop.hdfs.DistributedFileSystem.mkdirsInternal(DistributedFileSystem.java:1335)
	at org.apache.hadoop.hdfs.DistributedFileSystem.mkdirs(DistributedFileSystem.java:1310)
	at org.apache.hadoop.fs.FileSystem.mkdirs(FileSystem.java:2326)
	at org.apache.spark.sql.execution.streaming.StreamExecution.(StreamExecution.scala:90)
	at org.apache.spark.sql.execution.streaming.MicroBatchExecution.(MicroBatchExecution.scala:48)
	at org.apache.spark.sql.streaming.StreamingQueryManager.createQuery(StreamingQueryManager.scala:281)
	at org.apache.spark.sql.streaming.StreamingQueryManager.startQuery(StreamingQueryManager.scala:322)
	at org.apache.spark.sql.streaming.DataStreamWriter.start(DataStreamWriter.scala:325)
	at kl.stream.流式写hudi测试$.main(流式写hudi测试.scala:29)
	at kl.stream.流式写hudi测试.main(流式写hudi测试.scala)
22/02/21 10:24:10 INFO spark.SparkContext: Invoking stop() from shutdown hook

 解决方案：

由于项目资源文件中包含了我们生产环境hadoop集群的配置文件core-site.xml和hdfs-site.xml，程序本地执行时会读取这些配置文件，文件中的路径是unix路径，windows并不支持这种格式，所以会报出错误，所以本地调试时可以移除掉这两个配置文件