I’m attempting to upgrade the Apache Beam libraries from v2.19.0 to v2.37.0 (Java 8 & Maven), but have run into an issue with a breaking change that I’d appreciate some support with. Sorry this is quite a long one, I wanted to capture as much context as I could, but please shout if there’s anything you’d like to dig into.
Tag: google-cloud-dataflow
Apache Beam Split to Multiple Pipeline Output
I am subscribing from one topic and contains different event types and they pass in with different attributes. After I read the element, based on their attribute, I need to move them to different places. This is the sample code look like: Basically I read an event and filter them on their attribute and write the file. The job failed
Apache Beam BigqueryIO.Write getSuccessfulInserts not working
We are creating a simple apache beam pipeline which inserts data into a bigquery table and We are trying to get the tableRows which have been successfully Inserted into the table and tableRows which are errored, the code is as shown in the screenshot According to the following documentation: https://beam.apache.org/releases/javadoc/2.33.0/org/apache/beam/sdk/io/gcp/bigquery/WriteResult.html BigQueryIO.writeTableRows() returns a WriteResult object which has getSuccessfulInserts() which will
Best practice to pass large pipeline option in apache beam
We have a use case where we want in to pass hundred lines of json spec to our apache beam pipeline.? One straight forward way is to create custom pipeline option as mentioned below. Is there any other way where we can pass the input as file? I want to deploy the pipeline in Google dataflow engine. Even If I
How to avoid warning message when read BigQuery data to custom data type: Can’t verify serialized elements of type BoundedSource
I defined a custom data type reference the document here. https://github.com/apache/beam/blob/master/examples/java/src/main/java/org/apache/beam/examples/snippets/Snippets.java#L127 And read data from BigQuery using the code below. https://github.com/apache/beam/blob/master/examples/java/src/main/java/org/apache/beam/examples/snippets/Snippets.java#L375 Warning message: Can’t verify serialized elements of type BoundedSource have well defined equals method. This may produce incorrect results on some PipelineRunner. This message occurs at step TriggerIdCreation/Read(CreateSource)/Read(CreateSource)/Read(BoundedToUnboundedSourceAdapter)/StripIds.out0 I tried to add equals() method to the custom data type
How to trigger Cloud Dataflow pipeline job from Cloud Function in Java?
I have a requirement to trigger the Cloud Dataflow pipeline from Cloud Functions. But the Cloud function must be written in Java. So the Trigger for Cloud Function is Google Cloud Storage’s Finalise/Create Event, i.e., when a file is uploaded in a GCS bucket, the Cloud Function must trigger the Cloud dataflow. When I create a dataflow pipeline (batch) and
Dataflow: string to pubsub message
I’m trying to make unit testing in Dataflow. For that test, at the begging, I will start with a simple hardcoded string. The problem is that I would need to transform that string to a pubsub message. I got the following code to do that: But I get the following error: How I should create the pubsub message from the
Sending PubSub message manually in Dataflow
How can I send a PubSub message manually (that is to say, without using a PubsubIO) in Dataflow ? Importing (via Maven) google-cloud-dataflow-java-sdk-all 2.5.0 already imports a version of com.google.pubsub.v1 for which I was unable to find an easy way to send messages to a Pubsub topic (this version doesn’t, for instance, allow to manipulate Publisher instances, which is the