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https://issues.apache.org/jira/browse/AVRO-2787?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17554953#comment-17554953
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Christophe Le Saec commented on AVRO-2787:
------------------------------------------
As development is done with "Avro version 1.9.2" and job executed with "With
Avro 1.8.2", it can happen, especially as the constructors of this class are
not same between 2 versions (some were removed, other added).
This can lead to NoSuchMethodError error without implying an error in Avro. Can
you have a try after aligning Avro versions (compile & run) ?
> Hadoop Mapreduce job fails when creating Writer
> -----------------------------------------------
>
> Key: AVRO-2787
> URL: https://issues.apache.org/jira/browse/AVRO-2787
> Project: Apache Avro
> Issue Type: Bug
> Components: java
> Affects Versions: 1.9.2
> Environment: Development
> * OS: Fedora 31
> * Java version 8
> * Gradle version 6.2.2
> * Avro version 1.9.2
> * Shadow version 5.2.0
> * Gradle-avro-plugin version 0.19.1
> Running in a Podman container
> * OS: Ubuntu 18.04
> * Podman 1.8.2
> * Hadoop version 3.2.1
> * Java version 8
> Reporter: Anton Oellerer
> Priority: Blocker
> Attachments: CategoryData.avsc, CategoryTokensReducer.java,
> TextprocessingfundamentalsApplication.java
>
>
> Hey,
> I am trying to create a Hadoop pipeline getting the chi squared value in for
> tokens in reviews saved in JSON.
> For this, I created multiple Hadoop jobs, and the communication between them
> happens, partly, with Avro Data containers.
> When trying to run this pipeline, I get the following error at the end of the
> first reduce Job (Signature
> {code:java}
> public class CategoryTokensReducer extends Reducer<Text, StringArrayWritable,
> AvroKey<CharSequence>, AvroValue<CategoryData>>{code}
> )
> Error:
> {code:java}
> java.lang.Exception: java.lang.NoSuchMethodError:
> org.apache.avro.Schema$Field.<init>(Ljava/lang/String;Lorg/apache/avro/Schema;Ljava/lang/String;Ljava/lang/Object;)V
> at
> org.apache.hadoop.mapred.LocalJobRunner$Job.runTasks(LocalJobRunner.java:492)
>
> at
> org.apache.hadoop.mapred.LocalJobRunner$Job.run(LocalJobRunner.java:559)
>
> Caused by: java.lang.NoSuchMethodError:
> org.apache.avro.Schema$Field.<init>(Ljava/lang/String;Lorg/apache/avro/Schema;Ljava/lang/String;Ljava/lang/Object;)V
> at
> org.apache.avro.hadoop.io.AvroKeyValue.getSchema(AvroKeyValue.java:111)
>
> at
> org.apache.avro.mapreduce.AvroKeyValueRecordWriter.<init>(AvroKeyValueRecordWriter.java:84)
>
> at
> org.apache.avro.mapreduce.AvroKeyValueOutputFormat.getRecordWriter(AvroKeyValueOutputFormat.java:70)
> at
> org.apache.hadoop.mapred.ReduceTask$NewTrackingRecordWriter.<init>(ReduceTask.java:542)
> at
> org.apache.hadoop.mapred.ReduceTask.runNewReducer(ReduceTask.java:615)
> at org.apache.hadoop.mapred.ReduceTask.run(ReduceTask.java:390)
>
> at
> org.apache.hadoop.mapred.LocalJobRunner$Job$ReduceTaskRunnable.run(LocalJobRunner.java:347)
> at
> java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.run(FutureTask.java:266)
>
> 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)
>
> {code}
> The Job is setup like this:
> {code:java}
> Job jsonToCategoryTokensJob = Job.getInstance(conf, "json to category data");
> AvroJob.setOutputKeySchema(jsonToCategoryTokensJob,
> Schema.create(Schema.Type.STRING));
> AvroJob.setOutputValueSchema(jsonToCategoryTokensJob,
> CategoryData.getClassSchema());
> jsonToCategoryTokensJob.setJarByClass(TextprocessingfundamentalsApplication.class);
> jsonToCategoryTokensJob.setMapperClass(JsonToCategoryTokensMapper.class);
> jsonToCategoryTokensJob.setMapOutputKeyClass(Text.class);
> jsonToCategoryTokensJob.setMapOutputValueClass(StringArrayWritable.class);
> jsonToCategoryTokensJob.setReducerClass(CategoryTokensReducer.class);
> jsonToCategoryTokensJob.setOutputFormatClass(AvroKeyValueOutputFormat.class);
> String in = otherArgs.get(0);
> String out = otherArgs.get(1);
> FileInputFormat.addInputPath(jsonToCategoryTokensJob, new Path(in));
> FileOutputFormat.setOutputPath(jsonToCategoryTokensJob, new Path(out,
> "outCategoryData"));
> {code}
> The pipeline is run by first building a shadowJar from the source in the
> development environment and then running it in a podman container.
> With Avro 1.8.2 and gradle plugin 0.16.0 the reduce job works.
> Does someone know what the problem here might be?
> Best regards
> Anton
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