Thanks Yangze Gua. Is there a way these can be redirected to a yarn logs. On Tue, 12 Jan 2021 at 2:35 PM, Yangze Guo <karma...@gmail.com> wrote:
> The main function of your WordCountExample is executed in your local > environment. So, the logs you are looking for ("Entering > application.") are be located in your console output and the "log/" > directory of your Flink distribution. > > Best, > Yangze Guo > > On Tue, Jan 12, 2021 at 4:50 PM bat man <tintin0...@gmail.com> wrote: > > > > Hi, > > > > I am running a sample job as below - > > > > public class WordCountExample { > > static Logger logger = LoggerFactory.getLogger(WordCountExample.class); > > > > public static void main(String[] args) throws Exception { > > final ExecutionEnvironment env = > ExecutionEnvironment.getExecutionEnvironment(); > > > > logger.info("Entering application."); > > > > DataSet<String> text = env.fromElements( > > "Who's there?", > > "I think I hear them. Stand, ho! Who's there?"); > > > > List<Integer> elements = new ArrayList<Integer>(); > > elements.add(0); > > > > > > DataSet<TestClass> set = env.fromElements(new TestClass(elements)); > > > > DataSet<Tuple2<String, Integer>> wordCounts = text > > .flatMap(new LineSplitter()) > > .withBroadcastSet(set, "set") > > .groupBy(0) > > .sum(1); > > > > wordCounts.print(); > > > > logger.info("Processing done"); > > > > //env.execute("wordcount job complete"); > > > > } > > > > public static class LineSplitter implements FlatMapFunction<String, > Tuple2<String, Integer>> { > > > > static Logger loggerLineSplitter = > LoggerFactory.getLogger(LineSplitter.class); > > > > @Override > > public void flatMap(String line, Collector<Tuple2<String, Integer>> out) > { > > loggerLineSplitter.info("Logger in LineSplitter.flatMap"); > > for (String word : line.split(" ")) { > > out.collect(new Tuple2<String, Integer>(word, 1)); > > } > > } > > } > > > > public static class TestClass implements Serializable { > > private static final long serialVersionUID = -2932037991574118651L; > > > > static Logger loggerTestClass = > LoggerFactory.getLogger("WordCountExample.TestClass"); > > > > List<Integer> integerList; > > public TestClass(List<Integer> integerList){ > > this.integerList=integerList; > > loggerTestClass.info("Logger in TestClass"); > > } > > > > > > } > > } > > > > When run in IDE I can see the logs from main class i.e. statements like > below in console logs - > > > > 13:40:24.459 [main] INFO com.flink.transform.WordCountExample - > Entering application. > > 13:40:24.486 [main] INFO WordCountExample.TestClass - Logger in > TestClass > > > > > > When run on Yarn with command - flink run -m yarn-cluster -c > com.flink.transform.WordCountExample rt-1.0-jar-with-dependencies.jar > > > > I only see the flatmap logging statements like - > > INFO com.flink.transform.WordCountExample$LineSplitter - Logger in > LineSplitter.flatMap > > INFO com.flink.transform.WordCountExample$LineSplitter - Logger in > LineSplitter.flatMap > > > > I have checked the jobmanager and taskmanager logs from yarn in EMR. > > > > This is my log4j.properties from EMR cluster > > > > log4j.rootLogger=INFO,file,elastic > > > > # Config ES logging appender > > > log4j.appender.elastic=com.letfy.log4j.appenders.ElasticSearchClientAppender > > log4j.appender.elastic.elasticHost=http://<>:9200 > > log4j.appender.elastic.hostName=<> > > log4j.appender.elastic.applicationName=<> > > > > # more options (see github project for the full list) > > log4j.appender.elastic.elasticIndex=<> > > log4j.appender.elastic.elasticType=<> > > > > # Log all infos in the given file > > log4j.appender.file=org.apache.log4j.FileAppender > > log4j.appender.file.file=${log.file} > > log4j.appender.file.append=false > > log4j.appender.file.layout=org.apache.log4j.PatternLayout > > log4j.appender.file.layout.ConversionPattern=%d{yyyy-MM-dd HH:mm:ss,SSS} > %-5p %-60c %x - %m%n > > > > # suppress the irrelevant (wrong) warnings from the netty channel handler > > log4j.logger.org.jboss.netty.channel.DefaultChannelPipeline=ERROR,file > > > > > > How can I access main driver logs when run on yarn as master. > > > > Thanks, > > Hemant > > > > > > > > >