Hi Ana, good to hear that you found the logging statements. You can check in Yarn’s web interface whether there are still occupied containers. Alternatively you can go to the different machines and run jps which lists you the running Java processes. If you see an ApplicationMaster or YarnTaskManagerRunner process, then there is still a container running with Flink on this machine. I hope this helps you.
Cheers, Till On Mon, Jan 11, 2016 at 9:37 AM, Ana M. Martinez <[email protected]> wrote: > Hi Till, > > Thanks for that! I can see the "Logger in LineSplitter.flatMap” output if > I retrieve the task manager logs manually > (under /var/log/hadoop-yarn/containers/application_X/…). However that > solution is not ideal when for instance I am using 32 machines for my > mapReduce operations. > > I would like to know why Yarn’s log aggregation is not working. Can you > tell me how to check if there are some Yarn containers running after the > Flink job has finished? I have tried: > hadoop job -list > but I cannot see any jobs there, although I am not sure that it means that > there are not containers running... > > Thanks, > Ana > > On 08 Jan 2016, at 16:24, Till Rohrmann <[email protected]> wrote: > > You’re right that the log statements of the LineSplitter are in the logs > of the cluster nodes, because that’s where the LineSplitter code is > executed. In contrast, you create a TestClass on the client when you > submit the program. Therefore, you see the logging statement “Logger in > TestClass” on the command line or in the cli log file. > > So I would assume that the problem is Yarn’s log aggregation. Either your > configuration is not correct or there are still some Yarn containers > running after the Flink job has finished. Yarn will only show you the logs > after all containers are terminated. Maybe you could check that. > Alternatively, you can try to retrieve the taskmanager logs manually by > going to the machine where your yarn container was executed. Then under > hadoop/logs/userlogs you should find somewhere the logs. > > Cheers, > Till > > > On Fri, Jan 8, 2016 at 3:50 PM, Ana M. Martinez <[email protected]> wrote: > >> Thanks for the tip Robert! It was a good idea to rule out other possible >> causes, but I am afraid that is not the problem. If we stick to the >> WordCountExample (for simplicity), the Exception is thrown if placed into >> the flatMap function. >> >> I am going to try to re-write my problem and all the settings below: >> >> When I try to aggregate all logs: >> $yarn logs -applicationId application_1452250761414_0005 >> >> the following message is retrieved: >> 16/01/08 13:32:37 INFO client.RMProxy: Connecting to ResourceManager at >> ip-172-31-33-221.us-west-2.compute.internal/172.31.33.221:8032 >> /var/log/hadoop-yarn/apps/hadoop/logs/application_1452250761414_0005does >> not exist. >> Log aggregation has not completed or is not enabled. >> >> (Tried the same command a few minutes later and got the same message, so >> might it be that log aggregation is not properly enabled??) >> >> I am going to carefully enumerate all the steps I have followed (and >> settings) to see if someone can identify why the Logger messages from CORE >> nodes (in an Amazon cluster) are not shown. >> >> 1) Enable yarn.log-aggregation-enable property to true >> in /etc/alternatives/hadoop-conf/yarn-site.xml. >> >> 2) Include log messages in my WordCountExample as follows: >> >> import org.apache.flink.api.common.functions.FlatMapFunction; >> import org.apache.flink.api.java.DataSet; >> import org.apache.flink.api.java.ExecutionEnvironment; >> import org.apache.flink.api.java.tuple.Tuple2; >> import org.apache.flink.core.fs.FileSystem; >> import org.apache.flink.util.Collector; >> import org.slf4j.Logger; >> import org.slf4j.LoggerFactory; >> >> import java.io.Serializable; >> import java.util.ArrayList; >> import java.util.List; >> >> >> 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.writeAsText(*“*output.txt", >> FileSystem.WriteMode.OVERWRITE); >> >> >> } >> >> 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)); >> //throw new RuntimeException("LineSplitter class >> called"); >> } >> >> } >> } >> >> public static class TestClass implements Serializable { >> private static final long serialVersionUID = -2932037991574118651L; >> >> static Logger loggerTestClass = >> LoggerFactory.getLogger("TestClass.class"); >> >> List<Integer> integerList; >> public TestClass(List<Integer> integerList){ >> this.integerList=integerList; >> loggerTestClass.info("Logger in TestClass"); >> } >> >> >> } >> } >> >> 3) Start a yarn-cluster and execute my program with the following command: >> >> $./bin/flink run -m yarn-cluster -yn 1 -ys 4 -yjm 1024 -ytm 1024 -c >> eu.amidst.flinklink.examples.WordCountExample ../flinklink.jar >> >> >> 4) The output in the log folder is as follows: >> >> 13:31:04,945 INFO org.apache.flink.client.CliFrontend >> - >> -------------------------------------------------------------------------------- >> 13:31:04,947 INFO org.apache.flink.client.CliFrontend >> - Starting Command Line Client (Version: 0.10.0, Rev:ab2cca4, >> Date:10.11.2015 @ 13:50:14 UTC) >> 13:31:04,947 INFO org.apache.flink.client.CliFrontend >> - Current user: hadoop >> 13:31:04,947 INFO org.apache.flink.client.CliFrontend >> - JVM: OpenJDK 64-Bit Server VM - Oracle Corporation - >> 1.8/25.65-b01 >> 13:31:04,947 INFO org.apache.flink.client.CliFrontend >> - Maximum heap size: 3344 MiBytes >> 13:31:04,947 INFO org.apache.flink.client.CliFrontend >> - JAVA_HOME: /etc/alternatives/jre >> 13:31:04,950 INFO org.apache.flink.client.CliFrontend >> - Hadoop version: 2.6.0 >> 13:31:04,950 INFO org.apache.flink.client.CliFrontend >> - JVM Options: >> 13:31:04,950 INFO org.apache.flink.client.CliFrontend >> - >> -Dlog.file=/home/hadoop/flink-0.10.0/log/flink-hadoop-client-ip-172-31-33-221.log >> 13:31:04,950 INFO org.apache.flink.client.CliFrontend >> - >> -Dlog4j.configuration=file:/home/hadoop/flink-0.10.0/conf/log4j-cli.properties >> 13:31:04,950 INFO org.apache.flink.client.CliFrontend >> - >> -Dlogback.configurationFile=file:/home/hadoop/flink-0.10.0/conf/logback.xml >> 13:31:04,951 INFO org.apache.flink.client.CliFrontend >> - Program Arguments: >> 13:31:04,951 INFO org.apache.flink.client.CliFrontend >> - run >> 13:31:04,951 INFO org.apache.flink.client.CliFrontend >> - -m >> 13:31:04,951 INFO org.apache.flink.client.CliFrontend >> - yarn-cluster >> 13:31:04,951 INFO org.apache.flink.client.CliFrontend >> - -yn >> 13:31:04,951 INFO org.apache.flink.client.CliFrontend >> - 1 >> 13:31:04,951 INFO org.apache.flink.client.CliFrontend >> - -ys >> 13:31:04,951 INFO org.apache.flink.client.CliFrontend >> - 4 >> 13:31:04,951 INFO org.apache.flink.client.CliFrontend >> - -yjm >> 13:31:04,951 INFO org.apache.flink.client.CliFrontend >> - 1024 >> 13:31:04,951 INFO org.apache.flink.client.CliFrontend >> - -ytm >> 13:31:04,951 INFO org.apache.flink.client.CliFrontend >> - 1024 >> 13:31:04,952 INFO org.apache.flink.client.CliFrontend >> - -c >> 13:31:04,952 INFO org.apache.flink.client.CliFrontend >> - eu.amidst.flinklink.examples.WordCountExample >> 13:31:04,952 INFO org.apache.flink.client.CliFrontend >> - ../flinklink.jar >> 13:31:04,952 INFO org.apache.flink.client.CliFrontend >> - >> -------------------------------------------------------------------------------- >> 13:31:04,954 INFO org.apache.flink.client.CliFrontend >> - Using configuration directory /home/hadoop/flink-0.10.0/conf >> 13:31:04,954 INFO org.apache.flink.client.CliFrontend >> - Trying to load configuration file >> 13:31:05,193 INFO org.apache.flink.client.CliFrontend >> - Running 'run' command. >> 13:31:05,201 INFO org.apache.flink.client.CliFrontend >> - Building program from JAR file >> 13:31:05,326 INFO org.apache.flink.client.CliFrontend >> - YARN cluster mode detected. Switching Log4j output to console >> 13:31:05,385 INFO org.apache.hadoop.yarn.client.RMProxy >> - Connecting to ResourceManager at ip-172-31-33-221.us >> -west-2.compute.internal/172.31.33.221:8032 >> 13:31:05,534 INFO org.apache.flink.client.FlinkYarnSessionCli >> - No path for the flink jar passed. Using the location of class >> org.apache.flink.yarn.FlinkYarnClient to locate the jar >> 13:31:05,545 INFO org.apache.flink.yarn.FlinkYarnClient >> - Using values: >> 13:31:05,547 INFO org.apache.flink.yarn.FlinkYarnClient >> - TaskManager count = 1 >> 13:31:05,547 INFO org.apache.flink.yarn.FlinkYarnClient >> - JobManager memory = 1024 >> 13:31:05,547 INFO org.apache.flink.yarn.FlinkYarnClient >> - TaskManager memory = 1024 >> 13:31:06,112 INFO org.apache.flink.yarn.Utils >> - Copying from >> file:/home/hadoop/flink-0.10.0/lib/flink-dist-0.10.0.jar to >> hdfs://ip-172-31-33-221.us-west-2.compute.internal:8020/user/hadoop/.flink/application_1452250761414_0005/flink-dist-0.10.0.jar >> 13:31:06,843 INFO org.apache.flink.yarn.Utils >> - Copying from /home/hadoop/flink-0.10.0/conf/flink-conf.yaml to >> hdfs://ip-172-31-33-221.us-west-2.compute.internal:8020/user/hadoop/.flink/application_1452250761414_0005/flink-conf.yaml >> 13:31:06,857 INFO org.apache.flink.yarn.Utils >> - Copying from file:/home/hadoop/flink-0.10.0/conf/logback.xml to >> hdfs://ip-172-31-33-221.us-west-2.compute.internal:8020/user/hadoop/.flink/application_1452250761414_0005/logback.xml >> 13:31:06,869 INFO org.apache.flink.yarn.Utils >> - Copying from file:/home/hadoop/flink-0.10.0/conf/log4j.properties >> to >> hdfs://ip-172-31-33-221.us-west-2.compute.internal:8020/user/hadoop/.flink/application_1452250761414_0005/log4j.properties >> 13:31:06,892 INFO org.apache.flink.yarn.FlinkYarnClient >> - Submitting application master application_1452250761414_0005 >> 13:31:06,917 INFO org.apache.hadoop.yarn.client.api.impl.YarnClientImpl >> - Submitted application application_1452250761414_0005 >> 13:31:06,917 INFO org.apache.flink.yarn.FlinkYarnClient >> - Waiting for the cluster to be allocated >> 13:31:06,919 INFO org.apache.flink.yarn.FlinkYarnClient >> - Deploying cluster, current state ACCEPTED >> 13:31:07,920 INFO org.apache.flink.yarn.FlinkYarnClient >> - Deploying cluster, current state ACCEPTED >> 13:31:08,922 INFO org.apache.flink.yarn.FlinkYarnClient >> - Deploying cluster, current state ACCEPTED >> 13:31:09,924 INFO org.apache.flink.yarn.FlinkYarnClient >> - Deploying cluster, current state ACCEPTED >> 13:31:10,925 INFO org.apache.flink.yarn.FlinkYarnClient >> - YARN application has been deployed successfully. >> 13:31:10,929 INFO org.apache.flink.yarn.FlinkYarnCluster >> - Start actor system. >> 13:31:11,412 INFO akka.event.slf4j.Slf4jLogger >> - Slf4jLogger started >> 13:31:11,472 INFO Remoting >> - Starting remoting >> 13:31:11,698 INFO Remoting >> - Remoting started; listening on addresses :[ >> akka.tcp://[email protected]:39464] >> 13:31:11,733 INFO org.apache.flink.yarn.FlinkYarnCluster >> - Start application client. >> 13:31:11,737 INFO org.apache.flink.client.CliFrontend >> - YARN cluster started >> 13:31:11,737 INFO org.apache.flink.client.CliFrontend >> - JobManager web interface address >> http://ip-172-31-33-221.us-west-2.compute.internal:20888/proxy/application_1452250761414_0005/ >> 13:31:11,737 INFO org.apache.flink.client.CliFrontend >> - Waiting until all TaskManagers have connected >> 13:31:11,748 INFO org.apache.flink.yarn.ApplicationClient >> - Notification about new leader address >> akka.tcp://[email protected]:46965/user/jobmanager with session ID null. >> 13:31:11,752 INFO org.apache.flink.client.CliFrontend >> - No status updates from the YARN cluster received so far. Waiting >> ... >> 13:31:11,752 INFO org.apache.flink.yarn.ApplicationClient >> - Received address of new leader >> akka.tcp://[email protected]:46965/user/jobmanager with session ID null. >> 13:31:11,753 INFO org.apache.flink.yarn.ApplicationClient >> - Disconnect from JobManager null. >> 13:31:11,757 INFO org.apache.flink.yarn.ApplicationClient >> - Trying to register at JobManager >> akka.tcp://[email protected]:46965/user/jobmanager. >> 13:31:12,040 INFO org.apache.flink.yarn.ApplicationClient >> - Successfully registered at the JobManager Actor[ >> akka.tcp://[email protected]:46965/user/jobmanager#1549383782] >> 13:31:12,253 INFO org.apache.flink.client.CliFrontend >> - TaskManager status (0/1) >> 13:31:12,753 INFO org.apache.flink.client.CliFrontend >> - TaskManager status (0/1) >> 13:31:13,254 INFO org.apache.flink.client.CliFrontend >> - TaskManager status (0/1) >> 13:31:13,755 INFO org.apache.flink.client.CliFrontend >> - TaskManager status (0/1) >> 13:31:14,255 INFO org.apache.flink.client.CliFrontend >> - TaskManager status (0/1) >> 13:31:14,756 INFO org.apache.flink.client.CliFrontend >> - TaskManager status (0/1) >> 13:31:15,257 INFO org.apache.flink.client.CliFrontend >> - TaskManager status (0/1) >> 13:31:15,758 INFO org.apache.flink.client.CliFrontend >> - TaskManager status (0/1) >> 13:31:16,258 INFO org.apache.flink.client.CliFrontend >> - All TaskManagers are connected >> 13:31:16,264 INFO org.apache.flink.client.program.Client >> - Starting client actor system >> 13:31:16,265 INFO org.apache.flink.runtime.client.JobClient >> - Starting JobClient actor system >> 13:31:16,283 INFO akka.event.slf4j.Slf4jLogger >> - Slf4jLogger started >> 13:31:16,288 INFO Remoting >> - Starting remoting >> 13:31:16,301 INFO Remoting >> - Remoting started; listening on addresses :[ >> akka.tcp://[email protected]:45919] >> 13:31:16,302 INFO org.apache.flink.runtime.client.JobClient >> - Started JobClient actor system at 127.0.0.1:45919 >> 13:31:16,302 INFO org.apache.flink.client.CliFrontend >> - Using the parallelism provided by the remote cluster (4). To use >> another parallelism, set it at the ./bin/flink client. >> 13:31:16,302 INFO org.apache.flink.client.CliFrontend >> - Starting execution of program >> 13:31:16,303 INFO org.apache.flink.client.program.Client >> - Starting program in interactive mode >> 13:31:16,313 INFO eu.amidst.flinklink.examples.WordCountExample >> - Entering application. >> 13:31:16,342 INFO TestClass.class >> - Logger in TestClass >> 13:31:16,346 INFO org.apache.flink.api.java.typeutils.TypeExtractor >> - class eu.amidst.flinklink.examples.WordCountExample$TestClass is >> not a valid POJO type >> 13:31:16,376 INFO org.apache.flink.client.CliFrontend >> - Program execution finished >> 13:31:16,384 INFO akka.remote.RemoteActorRefProvider$RemotingTerminator >> - Shutting down remote daemon. >> 13:31:16,386 INFO akka.remote.RemoteActorRefProvider$RemotingTerminator >> - Remote daemon shut down; proceeding with flushing remote >> transports. >> 13:31:16,408 INFO akka.remote.RemoteActorRefProvider$RemotingTerminator >> - Remoting shut down. >> 13:31:16,431 INFO org.apache.flink.client.CliFrontend >> - Shutting down YARN cluster >> 13:31:16,431 INFO org.apache.flink.yarn.FlinkYarnCluster >> - Sending shutdown request to the Application Master >> 13:31:16,432 INFO org.apache.flink.yarn.ApplicationClient >> - Sending StopYarnSession request to ApplicationMaster. >> 13:31:16,568 INFO org.apache.flink.yarn.ApplicationClient >> - Remote JobManager has been stopped successfully. Stopping local >> application client >> 13:31:16,570 INFO org.apache.flink.yarn.ApplicationClient >> - Stopped Application client. >> 13:31:16,570 INFO org.apache.flink.yarn.ApplicationClient >> - Disconnect from JobManager Actor[ >> akka.tcp://[email protected]:46965/user/jobmanager#1549383782]. >> 13:31:16,573 INFO akka.remote.RemoteActorRefProvider$RemotingTerminator >> - Shutting down remote daemon. >> 13:31:16,573 INFO akka.remote.RemoteActorRefProvider$RemotingTerminator >> - Remote daemon shut down; proceeding with flushing remote >> transports. >> 13:31:16,584 INFO akka.remote.RemoteActorRefProvider$RemotingTerminator >> - Remoting shut down. >> 13:31:16,595 INFO org.apache.flink.yarn.FlinkYarnCluster >> - Deleting files in >> hdfs://ip-172-31-33-221.us-west-2.compute.internal:8020/user/hadoop/.flink/application_1452250761414_0005 >> 13:31:16,596 INFO org.apache.flink.yarn.FlinkYarnCluster >> - Application application_1452250761414_0005 finished with state >> FINISHED and final state SUCCEEDED at 1452259876445 >> 13:31:16,747 INFO org.apache.flink.yarn.FlinkYarnCluster >> - YARN Client is shutting down >> >> >> You can see the log messages from the WordCountExample and TestClass >> classes. But I have problems to show the logger message (INFO) in the >> LineSplitter class. Presumably, because it is executed in the CORE nodes >> and node in the MASTER node (it all runs well in my local computer). >> >> Any tips? >> Ana >> >> >> On 06 Jan 2016, at 15:58, Ana M. Martinez <[email protected]> wrote: >> >> Hi Till, >> >> I am afraid it does not work in any case. >> >> I am following the steps you indicate on your websites (for yarn >> configuration and loggers with slf4j): >> >> 1) Enable log aggregation in yarn-site: >> >> https://ci.apache.org/projects/flink/flink-docs-release-0.7/yarn_setup.html#log-files >> >> 2) Include Loggers as indicated here (see WordCountExample below): >> >> https://ci.apache.org/projects/flink/flink-docs-release-0.7/internal_logging.html >> >> But I cannot get the log messages that run in the map functions. Am I >> missing something? >> >> Thanks, >> Ana >> >> On 04 Jan 2016, at 14:00, Till Rohrmann <[email protected]> wrote: >> >> I think the YARN application has to be finished in order for the logs to >> be accessible. >> >> Judging from you commands, you’re starting a long running YARN >> application running Flink with ./bin/yarn-session.sh -n 1 -tm 2048 -s 4. >> This cluster won’t be used though, because you’re executing your job with >> ./bin/flink >> run -m yarn-cluster which will start another YARN application which is >> only alive as long as the Flink job is executed. If you want to run your >> job on the long running YARN application, then you simply have to omit -m >> yarn-cluster. >> >> Cheers, >> Till >> >> >> On Mon, Jan 4, 2016 at 12:36 PM, Ana M. Martinez <[email protected]> wrote: >> >>> Hi Till, >>> >>> Sorry for the delay (Xmas break). I have activated log aggregation >>> on flink-conf.yaml with yarn.log-aggregation-enable: true (as I can’t find >>> a yarn-site.xml). >>> But the command yarn logs -applicationId application_1451903796996_0008 >>> gives me the following output: >>> >>> INFO client.RMProxy: Connecting to ResourceManager at xxx >>> /var/log/hadoop-yarn/apps/hadoop/logs/application_1451903796996_0008does >>> not exist. >>> Log aggregation has not completed or is not enabled >>> >>> >>> I’ve tried to restart the Flink JobManager and TaskManagers as follows: >>> ./bin/yarn-session.sh -n 1 -tm 2048 -s 4 >>> and then with a detached screen, run my application with ./bin/flink run >>> -m yarn-cluster ... >>> >>> I am not sure if my problem is that I am not setting the >>> log-aggregation-enable property well or I am not restarting the Flink >>> JobManager and TaskManagers as I should… Any idea? >>> >>> Thanks, >>> Ana >>> >>> On 18 Dec 2015, at 16:29, Till Rohrmann <[email protected]> wrote: >>> >>> In which log file are you exactly looking for the logging statements? >>> And on what machine? You have to look on the machines on which the yarn >>> container were started. Alternatively if you have log aggregation >>> activated, then you can simply retrieve the log files via yarn logs. >>> >>> Cheers, >>> Till >>> >>> On Fri, Dec 18, 2015 at 3:49 PM, Ana M. Martinez <[email protected]> wrote: >>> >>>> Hi Till, >>>> >>>> Many thanks for your quick response. >>>> >>>> I have modified the WordCountExample to re-reproduce my problem in a >>>> simple example. >>>> >>>> I run the code below with the following command: >>>> ./bin/flink run -m yarn-cluster -yn 1 -ys 4 -yjm 1024 -ytm 1024 -c >>>> mypackage.WordCountExample ../flinklink.jar >>>> >>>> And if I check the log file I see all logger messages except the one in >>>> the flatMap function of the inner LineSplitter class, which is actually the >>>> one I am most interested in. >>>> >>>> Is that an expected behaviour? >>>> >>>> Thanks, >>>> Ana >>>> >>>> import org.apache.flink.api.common.functions.FlatMapFunction; >>>> import org.apache.flink.api.java.DataSet; >>>> import org.apache.flink.api.java.ExecutionEnvironment; >>>> import org.apache.flink.api.java.tuple.Tuple2; >>>> import org.apache.flink.util.Collector; >>>> import org.slf4j.Logger; >>>> import org.slf4j.LoggerFactory; >>>> >>>> import java.io.Serializable; >>>> import java.util.ArrayList; >>>> import java.util.List; >>>> >>>> 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(); >>>> >>>> >>>> } >>>> >>>> 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"); >>>> } >>>> >>>> >>>> } >>>> } >>>> >>>> >>>> >>>> >>>> On 17 Dec 2015, at 16:08, Till Rohrmann <[email protected]> wrote: >>>> >>>> Hi Ana, >>>> >>>> you can simply modify the `log4j.properties` file in the `conf` >>>> directory. It should be automatically included in the Yarn application. >>>> >>>> Concerning your logging problem, it might be that you have set the >>>> logging level too high. Could you share the code with us? >>>> >>>> Cheers, >>>> Till >>>> >>>> On Thu, Dec 17, 2015 at 1:56 PM, Ana M. Martinez <[email protected]> wrote: >>>> >>>>> Hi flink community, >>>>> >>>>> I am trying to show log messages using log4j. >>>>> It works fine overall except for the messages I want to show in an >>>>> inner class that implements >>>>> org.apache.flink.api.common.aggregators.ConvergenceCriterion. >>>>> I am very new to this, but it seems that I’m having problems to show >>>>> the messages included in the isConverged function, as it runs in the task >>>>> managers? >>>>> E.g. the log messages in the outer class (before map-reduce >>>>> operations) are properly shown. >>>>> >>>>> I am also interested in providing my own log4j.properties file. I am >>>>> using the ./bin/flink run -m yarn-cluster on Amazon clusters. >>>>> >>>>> Thanks, >>>>> Ana >>>> >>>> >>>> >>>> >>> >>> >> >> >> > >
