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From ÐΞ€ρ@Ҝ (๏̯͡๏) <deepuj...@gmail.com>
Subject Re: Avromultiple output
Date Wed, 25 Feb 2015 02:58:25 GMT
Hadoop packaging changed from 1.x to 2.x. Ex: hadoop-core is no longer
valid in 2.x

Use these (hadoop1, hadoo2)

<profile>
<id>hadoop1</id>
<dependencyManagement>
<dependencies>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-core</artifactId>
<version>1.2.0.1.3.0.0-107</version>
<exclusions>
<exclusion>
<artifactId>javax.servlet</artifactId>
<groupId>servlet-api</groupId>
</exclusion>
<exclusion>
<artifactId>org.mortbay.jetty</artifactId>
<groupId>servlet-api</groupId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>com.hadoop.compression</groupId>
<artifactId>hadoop-gpl-compression</artifactId>
<version>0.1.0</version>
</dependency>
<dependency>
<groupId>org.apache.pig</groupId>
<artifactId>pig</artifactId>
<version>0.12.0</version>
<exclusions>
<exclusion>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-api</artifactId>
</exclusion>
<exclusion>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-log4j12</artifactId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>org.apache.avro</groupId>
<artifactId>avro-mapred</artifactId>
<version>1.7.6</version>
<classifier>hadoop1</classifier>
</dependency>
</dependencies>
</dependencyManagement>
</profile>
<profile>
<id>hadoop2</id>
<dependencyManagement>
<dependencies>
<dependency>
<groupId>com.hadoop.compression.lzo</groupId>
<artifactId>hadoop-lzo</artifactId>
</dependency>
<dependency>
<groupId>org.apache.pig</groupId>
<artifactId>pig</artifactId>
<version>0.12.0.2.0.6.0-76</version>
</dependency>
<dependency>
<groupId>org.apache.avro</groupId>
<artifactId>avro-mapred</artifactId>
<version>1.7.6</version>
*<classifier>hadoop2</classifier>*
</dependency>
<dependencies>
*<dependency>*
* <groupId>org.apache.hadoop</groupId>*
* <artifactId>hadoop-common</artifactId>*
* <version>${hadoop.version}</version>*
* </dependency>*
* <dependency>*
* <groupId>org.apache.hadoop</groupId>*
* <artifactId>hadoop-hdfs</artifactId>*
* <version>${hadoop.version}</version>*
* </dependency>*
* <dependency>*
* <groupId>org.apache.hadoop</groupId>*
* <artifactId>hadoop-mapreduce-client-jobclient</artifactId>*
* <version>${hadoop.version}</version>*
* </dependency>*
</dependencies>
</dependencies>
</dependencyManagement>
</profile>

On Tue, Feb 24, 2015 at 11:46 PM, Artem Ervits <artemervits@gmail.com>
wrote:

> Hadoop-core  is now hadoop-common
>
> Artem Ervits
> On Feb 24, 2015 12:57 PM, "David Ginzburg" <davidginzburg@gmail.com>
> wrote:
>
>> I am running with EMR
>> AMI version:3.3.1
>> Hadoop distribution:Amazon 2.4.0
>>
>> The hadoop jars are provided
>>
>>
>>  <hadoop.version>2.5.0-mr1-cdh5.2.1</hadoop.version>
>>
>> <dependencies>
>>
>>         <dependency>
>>             <groupId>com.google.guava</groupId>
>>             <artifactId>guava</artifactId>
>>             <version>18.0</version>
>>         </dependency>
>>         <dependency>
>>             <groupId>org.apache.kafka</groupId>
>>             <artifactId>kafka_2.10</artifactId>
>>             <version>0.8.2-beta</version>
>>             <scope>compile</scope>
>>             <exclusions>
>>                 <exclusion>
>>                     <groupId>com.sun.jmx</groupId>
>>                     <artifactId>jmxri</artifactId>
>>                 </exclusion>
>>                 <exclusion>
>>                     <groupId>com.sun.jdmk</groupId>
>>                     <artifactId>jmxtools</artifactId>
>>                 </exclusion>
>>                 <exclusion>
>>                     <groupId>javax.jms</groupId>
>>                     <artifactId>jms</artifactId>
>>                 </exclusion>
>>                 <exclusion>
>>                     <artifactId>slf4j-api</artifactId>
>>                     <groupId>org.slf4j</groupId>
>>                 </exclusion>
>>                 <exclusion>
>>                     <artifactId>snappy-java</artifactId>
>>                     <groupId>org.xerial.snappy</groupId>
>>                 </exclusion>
>>             </exclusions>
>>         </dependency>
>>         <dependency>
>>             <groupId>com.maxmind.geoip2</groupId>
>>             <artifactId>geoip2</artifactId>
>>             <version>2.1.0</version>
>>         </dependency>
>>         <dependency>
>>             <groupId>com.amazonaws</groupId>
>>             <artifactId>aws-java-sdk</artifactId>
>>             <version>1.9.3</version>
>>         </dependency>
>>         <dependency>
>>             <groupId>com.google.code.gson</groupId>
>>             <artifactId>gson</artifactId>
>>             <version>1.6</version>
>>         </dependency>
>>         <dependency>
>>             <groupId>log4j</groupId>
>>             <artifactId>log4j</artifactId>
>>             <version>1.2.17</version>
>>         </dependency>
>>         <dependency>
>>             <groupId>joda-time</groupId>
>>             <artifactId>joda-time</artifactId>
>>             <version>2.6</version>
>>         </dependency>
>>         <dependency>
>>             <groupId>org.mockito</groupId>
>>             <artifactId>mockito-all</artifactId>
>>             <version>1.9.5</version>
>>             <scope>test</scope>
>>         </dependency>
>>         <dependency>
>>             <groupId>org.apache.mrunit</groupId>
>>             <artifactId>mrunit</artifactId>
>>             <version>1.1.0</version>
>>             <classifier>hadoop2</classifier>
>>             <exclusions>
>>                 <exclusion>
>>                     <artifactId>guava</artifactId>
>>                     <groupId>com.google.guava</groupId>
>>                 </exclusion>
>>             </exclusions>
>>         </dependency>
>>         <dependency>
>>             <groupId>junit</groupId>
>>             <artifactId>junit</artifactId>
>>             <version>4.11</version>
>>             <scope>test</scope>
>>         </dependency>
>>         <dependency>
>>             <groupId>org.apache.hadoop</groupId>
>>             <artifactId>hadoop-core</artifactId>
>>             <version>${hadoop.version}</version>
>>             <scope>provided</scope>
>>             <exclusions>
>>                 <exclusion>
>>                     <artifactId>jets3t</artifactId>
>>                     <groupId>net.java.dev.jets3t</groupId>
>>                 </exclusion>
>>             </exclusions>
>>         </dependency>
>>         <dependency>
>>             <artifactId>jets3t</artifactId>
>>             <groupId>net.java.dev.jets3t</groupId>
>>             <version>0.9.2</version>
>>         </dependency>
>>         <dependency>
>>             <groupId>org.apache.hadoop</groupId>
>>             <artifactId>hadoop-client</artifactId>
>>             <version>${hadoop.version}</version><!-- 2.5.0-mr1-cdh5.2.1
>> -->
>>             <scope>provided</scope>
>>             <exclusions>
>>                 <exclusion>
>>                     <artifactId>guava</artifactId>
>>                     <groupId>com.google.guava</groupId>
>>                 </exclusion>
>>                 <exclusion>
>>                     <artifactId>avro</artifactId>
>>                     <groupId>org.apache.avro</groupId>
>>                 </exclusion>
>>                 <exclusion>
>>                     <artifactId>slf4j-api</artifactId>
>>                     <groupId>org.slf4j</groupId>
>>                 </exclusion>
>>             </exclusions>
>>         </dependency>
>>         <dependency>
>>             <artifactId>avro-mapred</artifactId>
>>             <groupId>org.apache.avro</groupId>
>>             <version>1.7.7</version>
>>         </dependency>
>>         <dependency>
>>             <groupId>org.apache.mrunit</groupId>
>>             <artifactId>mrunit</artifactId>
>>             <version>1.0.0</version>
>>             <classifier>hadoop1</classifier>
>>             <scope>test</scope>
>>         </dependency>
>>         <dependency>
>>             <groupId>org.json</groupId>
>>             <artifactId>org.json</artifactId>
>>             <version>chargebee-1.0</version>
>>         </dependency>
>>         <dependency>
>>             <groupId>com.hadoop.gplcompression</groupId>
>>             <artifactId>hadoop-lzo</artifactId>
>>             <version>0.4.19</version>
>>         </dependency>
>>         <dependency>
>>             <groupId>net.sf.uadetector</groupId>
>>             <artifactId>uadetector-resources</artifactId>
>>             <version>2014.04</version>
>>             <exclusions>
>>                 <exclusion>
>>                     <artifactId>slf4j-api</artifactId>
>>                     <groupId>org.slf4j</groupId>
>>                 </exclusion>
>>             </exclusions>
>>         </dependency>
>>
>>         <dependency>
>>             <groupId>commons-io</groupId>
>>             <artifactId>commons-io</artifactId>
>>             <version>2.4</version>
>>         </dependency>
>>
>>         <dependency>
>>             <groupId>org.codehaus.jackson</groupId>
>>             <artifactId>jackson-mapper-asl</artifactId>
>>             <version>1.9.13</version>
>>         </dependency>
>>         <dependency>
>>             <groupId>org.codehaus.jackson</groupId>
>>             <artifactId>jackson-core-asl</artifactId>
>>             <version>1.9.13</version>
>>         </dependency>
>>
>>     </dependencies>
>>
>>
>>
>> On Tue, Feb 24, 2015 at 7:38 PM, ÐΞ€ρ@Ҝ (๏̯͡๏) <deepujain@gmail.com>
>> wrote:
>>
>>> Share your avro dependencies(versions) in case your using maven and
>>> hadoop dependencies (version)
>>>
>>>
>>>
>>> On Tue, Feb 24, 2015 at 11:06 PM, ÐΞ€ρ@Ҝ (๏̯͡๏) <deepujain@gmail.com>
>>> wrote:
>>>
>>>> Check your Hadoop version. In older version JobContext was interface
>>>> and in new one its class.
>>>>
>>>> On Tue, Feb 24, 2015 at 10:28 PM, David Ginzburg <
>>>> davidginzburg@gmail.com> wrote:
>>>>
>>>>> Thank you for the answer.
>>>>>
>>>>> Tried but the exception
>>>>> * Error: Found interface org.apache.hadoop.mapreduce.JobContext, but
>>>>> class was expected*
>>>>> persists
>>>>>
>>>>> On Tue, Feb 24, 2015 at 3:12 PM, Artem Ervits <artemervits@gmail.com>
>>>>> wrote:
>>>>>
>>>>>> try this
>>>>>>
>>>>>> Job job = Job.getInstance(conf);
>>>>>> Job.setName(name);
>>>>>>
>>>>>> Artem Ervits
>>>>>> On Feb 21, 2015 10:57 PM, "David Ginzburg" <davidginzburg@gmail.com>
>>>>>> wrote:
>>>>>>
>>>>>>> Hi,
>>>>>>> I am trying to run an MR job on emr with AvromultipleOutput
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> I get the following exception when running with AMI with hadoop
2.2
>>>>>>> 2.5
>>>>>>> Found interface org.apache.hadoop.mapreduce.JobContext, but class
>>>>>>> was expected
>>>>>>>
>>>>>>> I read it is related to incompatible hadoop versions, So I modified
>>>>>>>
>>>>>>> When running with AMI with hadoop 103 I get the following exception:
>>>>>>>
>>>>>>> java.lang.NullPointerException
>>>>>>>     at
>>>>>>> org.apache.hadoop.io.serializer.SerializationFactory.getSerializer(SerializationFactory.java:73)
>>>>>>>     at
>>>>>>> org.apache.hadoop.mapred.MapTask$MapOutputBuffer.<init>(MapTask.java:981)
>>>>>>>     at
>>>>>>> org.apache.hadoop.mapred.MapTask$NewOutputCollector.<init>(MapTask.java:681)
>>>>>>>     at
>>>>>>> org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:763)
>>>>>>>     at org.apache.hadoop.mapred.MapTask.run(MapTask.java:375)
>>>>>>>     at org.apache.hadoop.mapred.Child$4.run(Child.java:259)
>>>>>>>     at java.security.AccessController.doPrivileged(Native Method)
>>>>>>>     at javax.security.auth.Subject.doAs(Subject.java:415)
>>>>>>>     at
>>>>>>> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1140)
>>>>>>>     at org.apache.hadoop.mapred.Child.main(Child.java:253)
>>>>>>>
>>>>>>>
>>>>>>> The driver code is
>>>>>>>
>>>>>>> Job job = new Job(getConf(), "myad");
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>>         job.setOutputValueClass(NullWritable.class);
>>>>>>>
>>>>>>>
>>>>>>>         job.setJarByClass(myAdTextLineMapper.class);
>>>>>>>         Path inputOflineFiles = new Path(args[0]);
>>>>>>>         Path inputOfUbberFiles = new Path(args[1]);
>>>>>>>
>>>>>>>          FileInputFormat.setInputPaths(job, inputOflineFiles);
>>>>>>>
>>>>>>>         job.setMapperClass(myAdTextLineMapper.class);
>>>>>>>         job.setMapOutputKeyClass(Text.class);
>>>>>>>         job.setMapOutputValueClass(UberRecord.class);
>>>>>>>
>>>>>>>         job.setOutputFormatClass(AvroSequenceFileOutputFormat.class);
>>>>>>>         AvroJob.setOutputKeySchema(job,
>>>>>>> Schema.create(Schema.Type.STRING));
>>>>>>>         AvroJob.setOutputValueSchema(job, UberRecord.SCHEMA$);
>>>>>>>
>>>>>>>
>>>>>>>         job.setReducerClass(myAdReducer.class);
>>>>>>>         job.setOutputKeyClass(Text.class);
>>>>>>>         job.setOutputValueClass(UberRecord.class);
>>>>>>>         job.setNumReduceTasks(2);
>>>>>>>         String baseoutputFolder = args[2];
>>>>>>>         job.getConfiguration().set(myAdReducer.BASE_OUTPUT_FOLDER,
>>>>>>>                 baseoutputFolder);
>>>>>>>         ;
>>>>>>>
>>>>>>> LazyOutputFormat.setOutputFormatClass(job,AvroSequenceFileOutputFormat.class);
>>>>>>>
>>>>>>>         FileOutputFormat.setOutputPath(job, new
>>>>>>> Path(baseoutputFolder));
>>>>>>>         return job.waitForCompletion(true) ? 0 : 1;
>>>>>>>
>>>>>>>
>>>>>>> the mapper and reducers
>>>>>>> @Override
>>>>>>>     public void setup(Context ctx) {
>>>>>>>
>>>>>>>         ubp = new UberRecordProcessor();
>>>>>>>     }
>>>>>>>
>>>>>>>     @Override
>>>>>>>     protected void map(LongWritable key, Text value, Context
context)
>>>>>>>             throws IOException, InterruptedException {
>>>>>>>         try {
>>>>>>>             handleLineinMap(value);
>>>>>>>             if(ub!=null){
>>>>>>>                 context.write(new
>>>>>>> Text(ub.getAuctionId().toString()), ub);
>>>>>>>                 context.getCounter("myAd",
>>>>>>> "myAdTextLineMapper").increment(1);
>>>>>>>             }else{
>>>>>>>                 context.getCounter("myAd",
>>>>>>> "myAdTextLineMapperNull").increment(1);
>>>>>>>             }
>>>>>>>         } catch (Exception e) {
>>>>>>>             context.getCounter("myAd",
>>>>>>> "myAdTextLineMapperError").increment(1);
>>>>>>>             logger.warn("could not parse line "+value.toString(),e);
>>>>>>>
>>>>>>>
>>>>>>>         }
>>>>>>>     }
>>>>>>>
>>>>>>> public class myAdReducer extends
>>>>>>>         Reducer<Text, UberRecord, AvroKey<CharSequence>,
>>>>>>> AvroValue<UberRecord>> {
>>>>>>>
>>>>>>>     private static Logger logger =
>>>>>>> Logger.getLogger(myAdReducer.class);
>>>>>>>     public static final String BASE_OUTPUT_FOLDER =
>>>>>>> "base.output.folder";
>>>>>>>     AvroMultipleOutputs amos; MultipleOutputs<Text, UberRecord>
>>>>>>> outputs;
>>>>>>>     UberRecordProcessor ubp = new UberRecordProcessor();
>>>>>>>     // "year=%s/month=%s/day=%s/hour=%s"
>>>>>>>     private String baseOutputPath;
>>>>>>>     private long reduceAttemptUniqueIdentifier =
>>>>>>> System.currentTimeMillis();
>>>>>>>
>>>>>>>     // 2015-02-01T18:00:25.673Z
>>>>>>>     static DateTimeFormatter dateformat = DateTimeFormat
>>>>>>>             .forPattern("yyyy-MM-dd'T'HH:mm:ss.SSSZZ");
>>>>>>>
>>>>>>>     @Override
>>>>>>>     protected void setup(Context context) throws IOException,
>>>>>>>             InterruptedException {
>>>>>>>
>>>>>>>         amos = new AvroMultipleOutputs(context);
>>>>>>>         baseOutputPath =
>>>>>>> context.getConfiguration().get(BASE_OUTPUT_FOLDER);
>>>>>>>
>>>>>>>     }
>>>>>>>
>>>>>>>     @Override
>>>>>>>     protected void reduce(Text key, Iterable<UberRecord>
values,
>>>>>>> Context context)
>>>>>>>             throws IOException, InterruptedException {
>>>>>>>
>>>>>>>         try {
>>>>>>>             UberRecord ub = new UberRecord();
>>>>>>>             for (UberRecord ubi : values) {
>>>>>>>                 // enrich
>>>>>>>                 if (ubi.getExchange() == null) {
>>>>>>>                     continue;
>>>>>>>                 }
>>>>>>>                 BaseBidRequestEnricher enc = BaseBidRequestEnricher
>>>>>>>                         .getEnricher(ubi.getExchange().toString());
>>>>>>>                 enc.enrich(ubi);
>>>>>>>                 ub = mergeUB(ub, ubi);
>>>>>>>             }
>>>>>>>             logger.info("Writing UberRecord [" + ub.toString()
+
>>>>>>> "]");
>>>>>>>             String partition = getPartition(ub);
>>>>>>>
>>>>>>>             // context.write();
>>>>>>>             // AvroKey<CharSequence>, AvroValue<UberRecord>>
>>>>>>>             amos.write(new AvroKey<CharSequence>(key.toString()),
>>>>>>>                     new AvroValue<UberRecord>(ub), baseOutputPath
+
>>>>>>> "/"
>>>>>>>                             + partition + "/p" +
>>>>>>> reduceAttemptUniqueIdentifier);
>>>>>>>         } catch (Exception e) {
>>>>>>>             // TODO Auto-generated catch block
>>>>>>>             e.printStackTrace();
>>>>>>>         }
>>>>>>>     }
>>>>>>>
>>>>>>>     public UberRecord mergeUB(UberRecord dest, UberRecord src)
{
>>>>>>>         List<Field> fields = UberRecord.getClassSchema().getFields();
>>>>>>>         List<Field> engFields =
>>>>>>> EngageData.getClassSchema().getFields();
>>>>>>>         for (Field field : fields) {
>>>>>>>             if (field.name().equals("engageData")
>>>>>>>                     && dest.getEngageData() != null)
{
>>>>>>>                 EngageData mergedEng = dest.getEngageData();
>>>>>>>                 for (Field engField : engFields) {
>>>>>>>                     if (dest.getEngageData().get(engField.name())
==
>>>>>>> null) {
>>>>>>>                         mergedEng.put(engField.name(),
>>>>>>>
>>>>>>> src.getEngageData().get(engField.name()));
>>>>>>>                     }
>>>>>>>
>>>>>>>                 }
>>>>>>>                 dest.setEngageData(mergedEng);
>>>>>>>             } else {
>>>>>>>                 if (dest.get(field.name()) == null) {
>>>>>>>                     dest.put(field.name(), src.get(field.name()));
>>>>>>>                 }
>>>>>>>             }
>>>>>>>         }
>>>>>>>         return dest;
>>>>>>>     }
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>
>>>>
>>>>
>>>> --
>>>> Deepak
>>>>
>>>>
>>>
>>>
>>> --
>>> Deepak
>>>
>>>
>>


-- 
Deepak

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