Hello, I am using Spark On Kubernetes and I have the following error when I try to write data on HDFS : "no filesystem for scheme hdfs"
More details : I am submitting my application with Spark submit like this : spark-submit --master k8s://https://myK8SMaster:6443 \ --deploy-mode cluster \ --name hello-spark \ --class Hello \ --conf spark.executor.instances=2 \ --conf spark.kubernetes.container.image.pullPolicy=IfNotPresent \ --conf spark.kubernetes.authenticate.driver.serviceAccountName=spark \ --conf spark.kubernetes.container.image=gradiant/spark:2.4.4 hdfs://hdfs-namenode/user/loic/jars/helloSpark.jar Then the driver and the 2 executors are created in K8S. But it fails when I look at the logs of the driver, I see this : Exception in thread "main" java.io.IOException: No FileSystem for scheme: hfds at org.apache.hadoop.fs.FileSystem.getFileSystemClass(FileSystem.java:2660) at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2667) at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:94) at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2703) at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2685) at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:373) at org.apache.hadoop.fs.Path.getFileSystem(Path.java:295) at org.apache.spark.sql.execution.datasources.DataSource.planForWritingFileFormat(DataSource.scala:424) at org.apache.spark.sql.execution.datasources.DataSource.planForWriting(DataSource.scala:524) at org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:290) at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:271) at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:229) at Hello$.main(hello.scala:24) at Hello.main(hello.scala) As you can see , my application jar helloSpark.jar file is correctly loaded on HDFS by the Spark submit, but writing to HDFS fails. I have also tried to add the hadoop client dand hdfs dependencies in the spark submit command: --packages org.apache.hadoop:hadoop-client:2.6.5,org.apache.hadoop:hadoop-hdfs:2.6.5 \ But the error is still here. Here is the Scala code of my application : import java.util.Calendar import org.apache.spark.sql.SparkSession case class Data(singleField: String) object Hello { def main(args: Array[String]) { val spark = SparkSession .builder() .appName("Hello Spark") .getOrCreate() import spark.implicits._ val now = Calendar.getInstance().getTime().toString val data = List(Data(now)).toDF() data.write.mode("overwrite").format("text").save("hfds://hdfs-namenode/user/loic/result.txt") } } Thanks for your help, Loïc
