我已经创建了一个Kafka流应用程序。在这种情况下，我试图将kstream聚合到ktable中。在这里，我指定了一个由kafka内部使用的statestore。然而，在运行应用程序时，我得到以下错误。

Exception in thread "StreamThread-1" java.lang.UnsatisfiedLinkError: /tmp/librocksdbjni858257496864179953.so (  0509-022 Cannot load module /tmp/librocksdbjni858257496864179953.so.
    0509-026 System error: Cannot run a file that does not have a valid format.)
    at java.lang.ClassLoader.loadLibraryWithPath(ClassLoader.java:1213)
    at java.lang.System.load(System.java:517)
    at org.rocksdb.NativeLibraryLoader.loadLibraryFromJar(NativeLibraryLoader.java:78)
    at org.rocksdb.NativeLibraryLoader.loadLibrary(NativeLibraryLoader.java:56)
    at org.rocksdb.RocksDB.loadLibrary(RocksDB.java:64)
    at org.rocksdb.RocksDB.<clinit>(RocksDB.java:35)
    at java.lang.J9VMInternals.initializeImpl(Native Method)
    at java.lang.J9VMInternals.initialize(J9VMInternals.java:236)
    at org.rocksdb.Options.<clinit>(Options.java:22)
    at java.lang.J9VMInternals.initializeImpl(Native Method)
    at java.lang.J9VMInternals.initialize(J9VMInternals.java:236)
    at org.apache.kafka.streams.state.internals.RocksDBStore.openDB(RocksDBStore.java:115)
    at org.apache.kafka.streams.state.internals.RocksDBStore.init(RocksDBStore.java:148)
    at org.apache.kafka.streams.state.internals.ChangeLoggingKeyValueBytesStore.init(ChangeLoggingKeyValueBytesStore.java:39)
    at org.apache.kafka.streams.state.internals.MeteredKeyValueStore$7.run(MeteredKeyValueStore.java:100)
    at org.apache.kafka.streams.processor.internals.StreamsMetricsImpl.measureLatencyNs(StreamsMetricsImpl.java:188)
    at org.apache.kafka.streams.state.internals.MeteredKeyValueStore.init(MeteredKeyValueStore.java:131)
    at org.apache.kafka.streams.state.internals.CachingKeyValueStore.init(CachingKeyValueStore.java:62)
    at org.apache.kafka.streams.processor.internals.AbstractTask.initializeStateStores(AbstractTask.java:86)
    at org.apache.kafka.streams.processor.internals.StreamTask.<init>(StreamTask.java:141)
    at org.apache.kafka.streams.processor.internals.StreamThread.createStreamTask(StreamThread.java:834)
    at org.apache.kafka.streams.processor.internals.StreamThread$TaskCreator.createTask(StreamThread.java:1207)
    at org.apache.kafka.streams.processor.internals.StreamThread$AbstractTaskCreator.retryWithBackoff(StreamThread.java:1180)
    at org.apache.kafka.streams.processor.internals.StreamThread.addStreamTasks(StreamThread.java:937)
    at org.apache.kafka.streams.processor.internals.StreamThread.access$500(StreamThread.java:69)
    at org.apache.kafka.streams.processor.internals.StreamThread$1.onPartitionsAssigned(StreamThread.java:236)
    at org.apache.kafka.clients.consumer.internals.ConsumerCoordinator.onJoinComplete(ConsumerCoordinator.java:255)
    at org.apache.kafka.clients.consumer.internals.AbstractCoordinator.joinGroupIfNeeded(AbstractCoordinator.java:339)
    at org.apache.kafka.clients.consumer.internals.AbstractCoordinator.ensureActiveGroup(AbstractCoordinator.java:303)
    at org.apache.kafka.clients.consumer.internals.ConsumerCoordinator.poll(ConsumerCoordinator.java:286)
    at org.apache.kafka.clients.consumer.KafkaConsumer.pollOnce(KafkaConsumer.java:1030)
    at org.apache.kafka.clients.consumer.KafkaConsumer.poll(KafkaConsumer.java:995)
    at org.apache.kafka.streams.processor.internals.StreamThread.runLoop(StreamThread.java:582)
    at org.apache.kafka.streams.processor.internals.StreamThread.run(StreamThread.java:368)

Kafka版本：10.2.0