【发布时间】:2019-10-05 15:22:33
【问题描述】:
我使用的是 flink 1.9.0,无法导入或获取表文件
我尝试过导入与之相关的不同 SBT
def main(args: Array[String]): Unit = {
val env = StreamExecutionEnvironment.getExecutionEnvironment
val tEnv = StreamTableEnvironment.create(env)
val tempSource = CsvTableSource.builder()
.path("/home/amulya/Desktop/csvForBroadcast/CSV.csv")
.fieldDelimiter(",")
.field("locationID", Types.STRING())
.field("temp", Types.DOUBLE())
.build()
tEnv.registerTableSource("Temperatures", tempSource)
val askTable = tEnv
.scan("Temperatures")
.where(" 'Temperature >= 50")
.select("'locationID, 'temp")
val stream = tEnv.toAppendStream[Events](askTable)
.print()
env.execute()
}
case class Events(locationID: String, temp: Long)
}
我有一个简单的CSV格式数据:-
locationID,temp
"1",25
"2",25
"3",35
"4",45
"5",55
这是错误:-
Error:scalac: missing or invalid dependency detected while loading class file 'ScalaCaseClassSerializer.class'.
Could not access type SelfResolvingTypeSerializer in object org.apache.flink.api.common.typeutils.TypeSerializerConfigSnapshot,
because it (or its dependencies) are missing. Check your build definition for
missing or conflicting dependencies. (Re-run with `-Ylog-classpath` to see the problematic classpath.)
A full rebuild may help if 'ScalaCaseClassSerializer.class' was compiled against an incompatible version of org.apache.flink.api.common.typeutils.TypeSerializerConfigSnapshot.
我正在尝试对这些基本数据执行 CEP,以便开始使用 apache flink,非常感谢任何形式的帮助
【问题讨论】:
标签: scala csv sbt apache-flink flink-cep