Judging from the code, you should separate different jars with a colon ":", i.e. "—addclasspath jar1:jar2"
Nico On 26/02/18 10:36, kant kodali wrote: > Hi Gordon, > > Thanks for the response!! How do I add multiple jars to the classpaths? > Are they separated by a semicolon and still using one flag like > "—addclasspath jar1; jar2" or specify the flag multiple times like > "—addclasspath jar1 —addclasspath jar2" or specify just the directory > "—addclasspath ./opt" so it adds all the jars in that directory! > > Thanks! > > On Sun, Feb 25, 2018 at 11:29 PM, Tzu-Li (Gordon) Tai > <tzuli...@apache.org <mailto:tzuli...@apache.org>> wrote: > > Hi, > > Good to see that you have it working! Yes, each of the Kafka > version-specific connectors also have a dependency on the base Kafka > connector module. > > Note that it is usually not recommended to put optional dependencies > (such as the connectors) under the lib folder. > To add additional dependencies when using the Scala shell, there is > a “—addclasspath” option which allows you to specify paths to the > dependency jars. > > Cheers, > Gordon > > > On 25 February 2018 at 12:22:28 PM, kant kodali (kanth...@gmail.com > <mailto:kanth...@gmail.com>) wrote: > >> Exception went away after >> downloading flink-connector-kafka-base_2.11-1.4.1.jar to lib folder >> >> On Sat, Feb 24, 2018 at 6:36 PM, kant kodali <kanth...@gmail.com >> <mailto:kanth...@gmail.com>> wrote: >> >> Hi, >> >> I couldn't get flink and kafka working together. It looks like >> all examples I tried from web site fails with the following >> Exception. >> >> Caused by: java.lang.ClassNotFoundException: >> org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase >> >> >> *or when I do something like this like it is in the website* >> >> >> val stream = senv.addSource(new >> FlinkKafkaConsumer08[String]("join_test", new >> SimpleStringSchema(), properties)).print() >> >> *I get the following exception* >> >> <console>:73: error: overloaded method value addSource with >> alternatives: >> >> [T](function: >> >> org.apache.flink.streaming.api.functions.source.SourceFunction.SourceContext[T] >> => Unit)(implicit evidence$10: >> >> org.apache.flink.api.common.typeinfo.TypeInformation[T])org.apache.flink.streaming.api.scala.DataStream[T] >> <and> >> >> [T](function: >> >> org.apache.flink.streaming.api.functions.source.SourceFunction[T])(implicit >> evidence$9: >> >> org.apache.flink.api.common.typeinfo.TypeInformation[T])org.apache.flink.streaming.api.scala.DataStream[T] >> >> cannot be applied to (org.apache.flink.streaming.co >> >> <http://org.apache.flink.streaming.co>nnectors.kafka.FlinkKafkaConsumer08[String]) >> >> val stream = senv.addSource(new >> FlinkKafkaConsumer08[String]("join_test", new >> SimpleStringSchema(), properties)).print() >> >> >> can anyone share a simple example of how to get Kafka Stream >> as a Table using scala shell? No need for any fancy schema >> just needs to print the value. I am using the latest version >> of flink 1.41 and my lib folder >> containers flink-connector-kafka-0.8_2.11-1.4.1.jar >> >> I wanted to use Kafka 0.9 but that didn't work so I thought >> let me just get something working first and downgraded to 0.8 >> but 0.8 examples on the website also don't seem to work using >> scala shell. >> >> Thanks!! >> >> >> >> >
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