OCI Data Flow: Inconsistent Processing Results with Stream and Job Definitions
I'm working with an scenario with Oracle Cloud Infrastructure (OCI) Data Flow where the results of my processing jobs are inconsistent. I have a Spark application defined to read data from a Kafka stream and write it to an OCI Object Storage bucket. I set up my Data Flow job to run using the following configuration: ```json { "streamConfig": { "kafka": { "topic": "my-topic", "bootstrapServers": "kafka-broker:9092", "groupId": "my-group" } }, "jobDefinition": { "imageUrl": "my-docker-image", "entrypoint": "com.example.MySparkApp", "memoryInGBs": 4, "numExecutors": 2 } } ``` When I run the job, I occasionally see messages being processed multiple times, while other messages appear to be skipped altogether, even though my Kafka consumer group offset is being committed successfully. My application uses a Structured Streaming approach, and here's a snippet of how I'm reading the stream: ```scala val spark = SparkSession.builder.appName("MySparkApp").getOrCreate() val kafkaStream = spark.readStream .format("kafka") .option("kafka.bootstrap.servers", "kafka-broker:9092") .option("subscribe", "my-topic") .option("startingOffsets", "latest") .load() ``` I'm using a `trigger(ProcessingTime("10 seconds"))` to process the stream every 10 seconds. I've tried adjusting the `startingOffsets` option to both `earliest` and `latest`, but the scenario continues. Additionally, I've checked the logs for any errors, and the only warning I see is: ``` WARN org.apache.spark.sql.kafka010.KafkaSource: Committing offsets failed: <some_offset> - Not all records were processed ``` This leads me to believe that there's a potential race condition or misconfiguration. I've also made sure that my OCI Object Storage bucket has the appropriate write permissions. Can anyone help identify what might be causing these inconsistencies? Are there best practices I should follow for handling the stream processing in OCI Data Flow? This is for a desktop app running on Windows 11. Am I approaching this the right way?