在 Kubernetes 上使用 Kafka 进行 Spark 作业

Question

We have a Spark Java application which reads from database and publishes messages on Kafka. When we execute the job locally on windows command line with following arguments it is working as expected :

bin/spark-submit -class com.data.ingestion.DataIngestion --jars  local:///opt/spark/jars/spark-sql-kafka-0-10_2.11-2.3.0.jar local:///opt/spark/jars/data-ingestion-1.0-SNAPSHOT.jar

spark-submit --packages org.apache.spark:spark-sql-kafka-0-10_2.11:2.3.0 --class com.data.ingestion.DataIngestion data-ingestion-1.0-SNAPSHOT.jar

Similarly, when try to run the command using k8s master

bin/spark-submit --master k8s://https://172.16.3.105:8443 --deploy-mode cluster --conf spark.kubernetes.container.image=localhost:5000/spark-example:0.2 --class com.data.ingestion.DataIngestion --jars  local:///opt/spark/jars/spark-sql-kafka-0-10_2.11-2.3.0.jar local:///opt/spark/jars/data-ingestion-1.0-SNAPSHOT.jar

It gives following error:

Exception in thread "main" java.util.ServiceConfigurationError: 
org.apache.spark.sql.sources.DataSourceRegister: Provider 
org.apache.spark.sql.kafka010.KafkaSourceProvider could not be instantiated

Answer 1

Based on the error, it would indicate at least one node in the cluster does not have /opt/spark/jars/spark-sql-kafka-0-10_2.11-2.3.0.jar

I suggest you create an uber jar that includes this Kafka Structured Streaming package or use --packages rather than local files in addition to setup a solution like Rook or MinIO to have a shared filesystem within k8s/spark

Answer 2

似乎 Scala 版本和 Spark Kafka 版本没有对齐。