I am using flink siddhi and getting out of memory error while processing large objects. In output stream generated by siddhi cep i have object having more than 200 fields, and I have some operators after that to process this object. [flink version 1.7.2]
java.lang.OutOfMemoryError: Java heap space
at com.esotericsoftware.kryo.io.Input.readBytes(Input.java:307)
at com.esotericsoftware.kryo.serializers.DefaultArraySerializers$ByteArraySerializer.read(DefaultArraySerializers.java:42)
at com.esotericsoftware.kryo.serializers.DefaultArraySerializers$ByteArraySerializer.read(DefaultArraySerializers.java:25)
at com.esotericsoftware.kryo.Kryo.readClassAndObject(Kryo.java:761)
at com.esotericsoftware.kryo.serializers.MapSerializer.read(MapSerializer.java:143)
at com.esotericsoftware.kryo.serializers.MapSerializer.read(MapSerializer.java:21)
at com.esotericsoftware.kryo.Kryo.readClassAndObject(Kryo.java:761)
at org.apache.flink.api.java.typeutils.runtime.kryo.KryoSerializer.deserialize(KryoSerializer.java:315)
at org.apache.flink.runtime.state.DefaultOperatorStateBackend.deserializeOperatorStateValues(DefaultOperatorStateBackend.java:592)
at org.apache.flink.runtime.state.DefaultOperatorStateBackend.restore(DefaultOperatorStateBackend.java:378)
at org.apache.flink.runtime.state.DefaultOperatorStateBackend.restore(DefaultOperatorStateBackend.java:62)
at org.apache.flink.streaming.api.operators.BackendRestorerProcedure.attemptCreateAndRestore(BackendRestorerProcedure.java:151)
at org.apache.flink.streaming.api.operators.BackendRestorerProcedure.createAndRestore(BackendRestorerProcedure.java:123)
at org.apache.flink.streaming.api.operators.StreamTaskStateInitializerImpl.operatorStateBackend(StreamTaskStateInitializerImpl.java:245)
at org.apache.flink.streaming.api.operators.StreamTaskStateInitializerImpl.streamOperatorStateContext(StreamTaskStateInitializerImpl.java:143)
at org.apache.flink.streaming.api.operators.AbstractStreamOperator.initializeState(AbstractStreamOperator.java:250)
at org.apache.flink.streaming.runtime.tasks.StreamTask.initializeState(StreamTask.java:738)
at org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:289)
at org.apache.flink.runtime.taskmanager.Task.run(Task.java:704)
at java.lang.Thread.run(Thread.java:748)
The exception usually means that the JVM heap is too small for Flink/Siddhi to process.
You can increase the JVM Heap size by increasing the total memory of flink. https://nightlies.apache.org/flink/flink-docs-master/docs/deployment/memory/mem_setup/#configure-total-memory
Edit your
conf/flink-conf.yamland add the heap size for Taskmanager and Job manager with the highest appropriate values in mb/gb.