我是scala和flink的新手。我正在使用以下代码来消耗来自kafka流的json消息。
object Job {
def main(args: Array[String]) {
val properties = new Properties()
properties.setProperty("bootstrap.servers", "localhost:9092")
// only required for Kafka 0.8
properties.setProperty("zookeeper.connect", "localhost:2181")
val topic: String = "test"
val consumer = new FlinkKafkaConsumer[ObjectNode](topic, new JSONKeyValueDeserializationSchema(false), properties)
// set up the execution environment
val env = StreamExecutionEnvironment.getExecutionEnvironment
val stream = env.addSource(consumer).name("opendental")
.enableCheckpointing(5000) // checkpoint every 5000 msecs
.print()
// execute program
env.execute("Flink Scala API Skeleton")
}
}
我正在使用命令mvn clean package
将scala代码编译为.jar
,但是由于方法重载,构建失败。这是错误
[ERROR] (x$1: java.util.regex.Pattern,x$2: org.apache.flink.streaming.util.serialization.KeyedDeserializationSchema[com.fasterxml.jackson.databind.node.ObjectNode],x$3: java.util.Properties)org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer[com.fasterxml.jackson.databind.node.ObjectNode] <and>
[ERROR] (x$1: java.util.regex.Pattern,x$2: (some other)org.apache.flink.api.common.serialization.DeserializationSchema(in <none>)[com.fasterxml.jackson.databind.node.ObjectNode],x$3: java.util.Properties)org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer[com.fasterxml.jackson.databind.node.ObjectNode] <and>
[ERROR] (x$1: java.util.List[String],x$2: org.apache.flink.streaming.util.serialization.KeyedDeserializationSchema[com.fasterxml.jackson.databind.node.ObjectNode],x$3: java.util.Properties)org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer[com.fasterxml.jackson.databind.node.ObjectNode] <and>
[ERROR] (x$1: java.util.List[String],x$2: org.apache.flink.api.common.serialization.DeserializationSchema(in <none>)[com.fasterxml.jackson.databind.node.ObjectNode],x$3: java.util.Properties)org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer[com.fasterxml.jackson.databind.node.ObjectNode] <and>
[ERROR] (x$1: String,x$2: org.apache.flink.streaming.util.serialization.KeyedDeserializationSchema[com.fasterxml.jackson.databind.node.ObjectNode],x$3: java.util.Properties)org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer[com.fasterxml.jackson.databind.node.ObjectNode] <and>
[ERROR] (x$1: String,x$2: org.apache.flink.api.common.serialization.DeserializationSchema[com.fasterxml.jackson.databind.node.ObjectNode],x$3: java.util.Properties)org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer[com.fasterxml.jackson.databind.node.ObjectNode]
[ERROR] cannot be applied to (String, org.apache.flink.streaming.util.serialization.JSONKeyValueDeserializationSchema, java.util.Properties)
[ERROR] val consumer = new FlinkKafkaConsumer[ObjectNode](topic, new JSONKeyValueDeserializationSchema(false), properties)
[ERROR]
我已经尝试了几种方法来解决重载方法,但是现在我遇到了麻烦。