Cloud Dataproc can't access Cloud Storage bucket - google-cloud-storage

Question

I have a cloud dataproc Spark job that also uses Cloud Strage API from Drvier side (to choose specific files from the same folder to work with).
Here are maven dependencies:
<dependencies>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.12</artifactId>
<version>2.4.4</version>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>com.google.cloud</groupId>
<artifactId>google-cloud-storage</artifactId>
<version>1.101.0</version>
</dependency>
</dependencies>
Here is the simplest version of the code that fails:
import com.google.cloud.storage._
object Test {
def main(args: Array[String]): Unit = {
val storage = StorageOptions.getDefaultInstance().getService()
--> storage.list("intent_raw")
}
}
here is stacktrace:
Exception in thread "main" java.lang.NoSuchMethodError: com.google.common.util.concurrent.MoreExecutors.directExecutor()Ljava/util/concurrent/Executor;
at com.google.api.gax.retrying.BasicRetryingFuture.<init>(BasicRetryingFuture.java:84)
at com.google.api.gax.retrying.DirectRetryingExecutor.createFuture(DirectRetryingExecutor.java:88)
at com.google.api.gax.retrying.DirectRetryingExecutor.createFuture(DirectRetryingExecutor.java:74)
at com.google.cloud.RetryHelper.run(RetryHelper.java:75)
at com.google.cloud.RetryHelper.runWithRetries(RetryHelper.java:50)
at com.google.cloud.storage.StorageImpl.listBlobs(StorageImpl.java:372)
at com.google.cloud.storage.StorageImpl.list(StorageImpl.java:328)
--> at ai.mandal.cloud.dataproc.Test$.main(Test.scala:14)
at ai.mandal.cloud.dataproc.Test.main(Test.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
at org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:845)
at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:161)
at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:184)
at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:86)
at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:920)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:929)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
My question is generally what can cause it, and also if I am running it from a dataproc service (which has access to the bucket), do I need to configure separate credentials for that.

Answer 1

The solution was to add
spark.executor.userClassPathFirst = true
spark.driver.userClassPathFirst = true
to job properties.
The problem is caused by conflicting versions of guava found in google-cloud-storage and the host environment.
Google recommends to shade the conflicting guava in your dependency, I've tried that too but that didn't work for this case.