I am currently developing a Flink 1.4 application that reads an Avro file from a Hadoop cluster. However, running it in local mode on my IDE works perfectly fine. But when I submit it to the Jobmanager Flink it always fails with the following message:
java.io.IOException: Error opening the Input Split hdfs://namenode/topics/CaseLocations/partition=0/CaseLocations+0+0000155791+0000255790.avro [0,16549587]: Could not find a file system implementation for scheme 'hdfs'. The scheme is not directly supported by Flink and no Hadoop file system to support this scheme could be loaded.
at org.apache.flink.api.common.io.FileInputFormat.open(FileInputFormat.java:705)
at org.apache.flink.formats.avro.AvroInputFormat.open(AvroInputFormat.java:110)
at org.apache.flink.formats.avro.AvroInputFormat.open(AvroInputFormat.java:54)
at org.apache.flink.runtime.operators.DataSourceTask.invoke(DataSourceTask.java:145)
at org.apache.flink.runtime.taskmanager.Task.run(Task.java:718)
at java.lang.Thread.run(Thread.java:748)
Caused by: org.apache.flink.core.fs.UnsupportedFileSystemSchemeException: Could not find a file system implementation for scheme 'hdfs'. The scheme is not directly supported by Flink and no Hadoop file system to support this scheme could be loaded.
at org.apache.flink.core.fs.FileSystem.getUnguardedFileSystem(FileSystem.java:405)
at org.apache.flink.core.fs.FileSystem.get(FileSystem.java:320)
at org.apache.flink.api.common.io.FileInputFormat$InputSplitOpenThread.run(FileInputFormat.java:864)
Caused by: org.apache.flink.core.fs.UnsupportedFileSystemSchemeException: Hadoop File System abstraction does not support scheme 'hdfs'. Either no file system implementation exists for that scheme, or the relevant classes are missing from the classpath.
at org.apache.flink.runtime.fs.hdfs.HadoopFsFactory.create(HadoopFsFactory.java:102)
at org.apache.flink.core.fs.FileSystem.getUnguardedFileSystem(FileSystem.java:401)
... 2 more
Caused by: java.io.IOException: No FileSystem for scheme: hdfs
at org.apache.hadoop.fs.FileSystem.getFileSystemClass(FileSystem.java:2798)
at org.apache.flink.runtime.fs.hdfs.HadoopFsFactory.create(HadoopFsFactory.java:99)
... 3 more
I am running the cluster with the official Flink Docker image flink:1.4.0-hadoop28-scala_2.11
that should already contain a Hadoop distribution.
I have also tried to add the dependencies to my application jar but that did not help either. Here are my sbt dependencies:
val flinkVersion = "1.4.0"
val hadoopVersion = "2.8.1"
val providedDependencies = Seq(
"org.apache.flink" %% "flink-clients" % flinkVersion,
"org.apache.flink" %% "flink-scala" % flinkVersion,
"org.apache.flink" %% "flink-streaming-scala" % flinkVersion
)
val compiledDependencies = Seq(
"org.apache.flink" % "flink-hadoop-fs" % flinkVersion,
"org.apache.hadoop" % "hadoop-hdfs" % hadoopVersion,
"org.apache.hadoop" % "hadoop-common" % hadoopVersion,
"org.apache.flink" % "flink-avro" % flinkVersion,
"org.apache.flink" %% "flink-table" % flinkVersion,
"org.scalaj" %% "scalaj-http" % "2.2.1"
)
Also, the filesystem classes are included in my META-INF/services/org.apache.hadoop.fs.FileSystem
.
Am I missing something? The official documentation couldn't help me.
Thanks in advance
First, you need a cluster of HDFS.
Second, you need to check for flink-shaded-hadoop-2-uber-xxx.xx.jar under FLINK_HOME/lib.
If you plan to use Apache Flink together with Apache Hadoop (run Flink on YARN, connect to HDFS, connect to HBase, or use some Hadoop-based file system connector) then select the download that bundles the matching Hadoop version, download the optional pre-bundled Hadoop that matches your version and place it in the lib folder of Flink, or export your HADOOP_CLASSPATH.
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