Google Dataflow "No filesystem found for scheme gs"

Google Dataflow "No filesystem found for scheme gs"

By : user2185620
Date : November 22 2020, 04:01 AM
This might help you I was grappling the same issue. So if you are using Maven to build the executable jar your shade plugin should look like this;
code :
                            <transformer implementation="org.apache.maven.plugins.shade.resource.ServicesResourceTransformer"/>
                            <!-- add Main-Class to manifest file -->

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"No FileSystem for scheme: hdfs" IOException in hadoop 2.2.0 wordcount example

"No FileSystem for scheme: hdfs" IOException in hadoop 2.2.0 wordcount example

By : Angel Ivan Castell R
Date : March 29 2020, 07:55 AM
will help you I ran into this problem today as well. You need to make sure the hadoop-hdfs jar is in your classpath.
My first brush at this was to simply add a dependency to my project on the hadoop-hdfs package in Maven, but this was insufficient. In the end, I followed the Cloudera's advice and added a dependency on hadoop-client. The relevant clause for your pom.xml file is:
code :
  ; ...
  :dependencies [[org.apache.hadoop/hadoop-client "VERSION"]
                 ; ...
"ClassNotFoundException: sun.security.provider.Sun" when running Google Cloud Dataflow pipeline in Google App

"ClassNotFoundException: sun.security.provider.Sun" when running Google Cloud Dataflow pipeline in Google App

By : Cloud Entreprises
Date : March 29 2020, 07:55 AM
should help you out The problem is that sun.security.provider.Sun doesn't appear on the App Engine JRE whitelist, so the classloader can't instantiate instances of it:
code :
class Example implements Serializable {

  // See comments on {@link #writeObject} for why this is transient.
  // Should be treated as final, but can't be declared as such.
  private transient Random random;

  // [Guts of the class go here...]

   * Serialization hook to handle the transient Random field.
  private void writeObject(ObjectOutputStream out) throws IOException {
    if (random instanceof SecureRandom) {
      // Write a null to tell readObject() to create a new
      // SecureRandom during deserialization; null is safe to use
      // as a placeholder because the constructor disallows null
      // Randoms.
      // The dataflow cloud environment won't deserialize
      // SecureRandom instances that use sun.security.provider.Sun
      // as their Provider, because it's a system
      // class that's not on the App Engine whitelist:
      // https://cloud.google.com/appengine/docs/java/jrewhitelist
    } else {

   * Deserialization hook to initialize the transient Random field.
  private void readObject(ObjectInputStream in)
      throws IOException, ClassNotFoundException {
    Object newRandom = in.readObject();
    if (newRandom == null) {
      // writeObject() will write a null if the original field was
      // SecureRandom; create a new instance to replace it. See
      // comments in writeObject() for background.
      random = new SecureRandom();
      random.nextDouble(); // force seeding
    } else {
      random = (Random) newRandom;
google cloud dataflow - can I get "event-time" from meta-data?

google cloud dataflow - can I get "event-time" from meta-data?

By : smkang
Date : March 29 2020, 07:55 AM
it helps some times To get the timestamp of an element in a DoFn, you can call ProcessContext.timestamp(). To set the timestamp of an element according to your own application logic, you can use Context.outputWithTimestamp().
Like so:
code :
public void processElement(ProcessContext c) {
  // Generate a timestamp that falls somewhere in two hours after the event time.
  long randMillis = (long) (Math.random() * Duration.standardHours(2).getMillis());
  Instant randomTimestamp = c.timestamp().plus(randMillis);
  c.outputWithTimestamp(c.element(), new Instant(randomTimestamp));
"java.lang.IllegalArgumentException: No filesystem found for scheme gs" when running dataflow in google cloud

"java.lang.IllegalArgumentException: No filesystem found for scheme gs" when running dataflow in google cloud

By : Misha
Date : March 29 2020, 07:55 AM
wish of those help This may be caused by a couple of issues if you build a "fat jar" that bundles all of your dependencies.
You must include the dependency org.apache.beam:google-cloud-platform-core to have the Beam GCS filesystem. Inside your far jar, you must preserve the META-INF/services/org.apache.beam.sdk.io.FileSystemRegistrar file with a line org.apache.beam.sdk.extensions.gcp.storage.GcsFileSystemRegistrar. You can find this file in the jar from step 1. You will probably have many files with the same name in your dependencies, registering different Beam filesystems. You need to configure maven or gradle to combine these as part of your build or they will overwrite each other and not work properly.
"No Filesystem for Scheme: gs" when running spark job locally

"No Filesystem for Scheme: gs" when running spark job locally

By : Steven Little
Date : March 29 2020, 07:55 AM
Hope that helps In Scala, add the following config when setting your hadoopConfiguration:
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