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https://issues.apache.org/jira/browse/FLINK-13474?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16895798#comment-16895798
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Mateusz Jarzyna commented on FLINK-13474:
-----------------------------------------
But still the newest version of '{{flink-quickstart-java}}' archetype generates
pom.xml with scala 2.11, and the latest docker image is 2.12. Maybe you should
consistent it?
> NoSuchMethodError when registering DataStream
> ---------------------------------------------
>
> Key: FLINK-13474
> URL: https://issues.apache.org/jira/browse/FLINK-13474
> Project: Flink
> Issue Type: Bug
> Components: Table SQL / Ecosystem
> Affects Versions: 1.8.1
> Environment: runtime: Docker flink:latest. Compiler: javac 1.8.0_172
>
> Reporter: Mateusz Jarzyna
> Priority: Major
>
> I'm trying to add some data to table.
> Dependencies:
> {code:java}
> <properties>
> <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
> <flink.version>1.8.1</flink.version>
> <java.version>1.8</java.version>
> <scala.binary.version>2.11</scala.binary.version>
> <maven.compiler.source>${java.version}</maven.compiler.source>
> <maven.compiler.target>${java.version}</maven.compiler.target>
> </properties>
> <dependencies>
> <!-- Apache Flink dependencies -->
> <!-- These dependencies are provided, because they should not be packaged
> into the JAR file. -->
> <dependency>
> <groupId>org.apache.flink</groupId>
> <artifactId>flink-java</artifactId>
> <version>${flink.version}</version>
> <scope>provided</scope>
> </dependency>
> <dependency>
> <groupId>org.apache.flink</groupId>
> <artifactId>flink-streaming-java_${scala.binary.version}</artifactId>
> <version>${flink.version}</version>
> <scope>provided</scope>
> </dependency>
> <dependency>
> <groupId>org.apache.flink</groupId>
> <artifactId>flink-connector-kafka_${scala.binary.version}</artifactId>
> <version>${flink.version}</version>
> </dependency>
> <dependency>
> <groupId>org.apache.flink</groupId>
> <artifactId>flink-table-planner_${scala.binary.version}</artifactId>
> <version>${flink.version}</version>
> </dependency>
> <dependency>
> <groupId>org.apache.flink</groupId>
>
> <artifactId>flink-table-api-java-bridge_${scala.binary.version}</artifactId>
> <version>${flink.version}</version>
> </dependency>
> <dependency>
> <groupId>org.apache.flink</groupId>
> <artifactId>flink-streaming-scala_${scala.binary.version}</artifactId>
> <version>${flink.version}</version>
> </dependency>
> </dependencies>
> {code}
> Code:
> {code:java}
> import org.apache.flink.api.common.serialization.SimpleStringSchema;
> import org.apache.flink.streaming.api.datastream.DataStream;
> import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
> import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
> import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer;
> import org.apache.flink.table.api.Table;
> import org.apache.flink.table.api.java.StreamTableEnvironment;
> import java.util.Properties;
> public class Test {
> public static void main(String[] args) throws Exception {
> StreamExecutionEnvironment env =
> StreamExecutionEnvironment.getExecutionEnvironment();
> StreamTableEnvironment tEnv = StreamTableEnvironment.create(env);
> Properties properties = new Properties();
> properties.setProperty("bootstrap.servers", "ran-kafka:9092");
> properties.setProperty("group.id", "test");
> DataStream<String> stream = env
> .addSource(new FlinkKafkaConsumer<>("testtopic", new
> SimpleStringSchema(), properties));
> SingleOutputStreamOperator<LD> lds = stream
> .map(x -> {
> LD ld = new LD();
> ld.setName(x);
> ld.setCount(0);
> return ld;
> });
> tEnv.registerDataStream("LeDa", lds, "name, count");
> Table table = tEnv.sqlQuery("select * from LeDa");
> System.out.println(table);
> env.execute("");
> }
> {code}
>
> But when I'm submitting the jar (using Flink Dashboard) I'm getting the error
> {code:java}
> org.apache.flink.client.program.ProgramInvocationException: The program
> caused an error:
> at
> org.apache.flink.client.program.OptimizerPlanEnvironment.getOptimizedPlan(OptimizerPlanEnvironment.java:93)
> at
> org.apache.flink.client.program.PackagedProgramUtils.createJobGraph(PackagedProgramUtils.java:80)
> at
> org.apache.flink.runtime.webmonitor.handlers.utils.JarHandlerUtils$JarHandlerContext.toJobGraph(JarHandlerUtils.java:126)
> at
> org.apache.flink.runtime.webmonitor.handlers.JarRunHandler.lambda$getJobGraphAsync$6(JarRunHandler.java:142)
> at
> java.util.concurrent.CompletableFuture$AsyncSupply.run(CompletableFuture.java:1590)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)
> Caused by: java.lang.NoSuchMethodError:
> scala.Predef$.refArrayOps([Ljava/lang/Object;)Lscala/collection/mutable/ArrayOps;
> at
> org.apache.flink.table.api.TableEnvironment.getFieldInfo(TableEnvironment.scala:1099)
> at
> org.apache.flink.table.api.StreamTableEnvironment.registerDataStreamInternal(StreamTableEnvironment.scala:546)
> at
> org.apache.flink.table.api.java.StreamTableEnvironment.registerDataStream(StreamTableEnvironment.scala:136)
> at com.test.Test.main(Test.java:33)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.flink.client.program.PackagedProgram.callMainMethod(PackagedProgram.java:529)
> at
> org.apache.flink.client.program.PackagedProgram.invokeInteractiveModeForExecution(PackagedProgram.java:421)
> at
> org.apache.flink.client.program.OptimizerPlanEnvironment.getOptimizedPlan(OptimizerPlanEnvironment.java:83)
> ... 7 more{code}
> Line 33 is
> {code:java}
> tEnv.registerDataStream("LeDa", lds, "name, count");
> {code}
> LD class is a very simple POJO
>
> I've also tried
> {code:java}
> tEnv.fromDataStream(lds);
> tEnv.registerDataStream("LeDa", lds, "name, count");
> {code}
> but the same result
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