Revision 28252
Added by Eri Katsari over 10 years ago
| modules/dnet-openaire-stats/trunk/src/test/java/eu/dnetlib/data/mapreduce/hbase/statsExport/utils/StatsOozieWorkflow.xml | ||
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<workflow-app name="test-core_examples_javamapreduce_cloner_with_multiple_output" |
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<workflow-app |
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name="test-core_examples_javamapreduce_cloner_with_multiple_output" |
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xmlns="uri:oozie:workflow:0.3"> |
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<!-- This example writes to 2 datastores: person and documents. The class responsible |
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for writing multiple datastores is: eu.dnetlib.iis.core.examples.javamapreduce.PersonClonerMapperMultipleOutput. |
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--> |
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<start to="mr_exporter"/> |
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<!-- map reduce job that exports hbase data and prepares them for import |
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to the relation database used for statistics generation --> |
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<start to="mr_exporter" /> |
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| 7 | 7 |
<action name="mr_exporter"> |
| 8 | 8 |
<map-reduce> |
| 9 | 9 |
<job-tracker>${jobTracker}</job-tracker>
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<name-node>${nameNode}</name-node>
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<!-- The data generated by this node in the previous run is deleted in this section
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--> |
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<!-- The data generated by this node in the previous run is deleted in |
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this section -->
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| 13 | 13 |
<prepare> |
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<delete path="${nameNode}${workingDir}/mr_cloner" />
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<delete path="${nameNode}${workingDir}/${outputPath}" />
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</prepare> |
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<!-- That's a multiple output MapReduce job, so no need to create mr_cloner directory,
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since it will be created by MapReduce /> --> |
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<!-- That's a multiple output MapReduce job, so no need to create mr_cloner |
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directory, since it will be created by MapReduce /> -->
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<configuration> |
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<!-- # Standard set of options that stays the same regardless of a concrete definition
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of map-reduce job --> |
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<!-- # Standard set of options that stays the same regardless of a concrete |
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definition of map-reduce job -->
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| 23 | 23 |
<!-- ## Various options --> |
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<!--This property seems to not be needed --> |
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<!--<property> <name>mapred.job.queue.name</name> <value>${queueName}</value> </property>
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--> |
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<!-- <PARAM name="index.entity.links" required="true" description="entity |
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joiner configuration" /> --> |
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<!-- <PARAM name="contextmap" required="true" description="context map |
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(ContextDSResources)" /> --> |
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|
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| 28 | 29 |
<property> |
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<name>mapreduce.inputformat.class</name> |
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<value>eu.dnetlib.iis.core.javamapreduce.hack.KeyInputFormat</value>
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<value>org.apache.hadoop.hbase.mapreduce.TableInputFormat</value>
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| 31 | 32 |
</property> |
| 32 | 33 |
<property> |
| 33 | 34 |
<name>mapred.mapoutput.key.class</name> |
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<value>org.apache.avro.mapred.AvroKey</value>
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<value>org.apache.hadoop.io.Text</value>
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| 35 | 36 |
</property> |
| 36 | 37 |
<property> |
| 37 | 38 |
<name>mapred.mapoutput.value.class</name> |
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<value>org.apache.avro.mapred.AvroValue</value>
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<value>org.apache.hadoop.hbase.io.ImmutableBytesWritable</value>
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| 39 | 40 |
</property> |
| 40 | 41 |
<property> |
| 41 | 42 |
<name>mapred.output.key.class</name> |
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<value>org.apache.avro.mapred.AvroKey</value>
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<value>org.apache.hadoop.io.Text</value>
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| 43 | 44 |
</property> |
| 44 | 45 |
<property> |
| 45 | 46 |
<name>mapred.output.value.class</name> |
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<value>org.apache.avro.mapred.AvroValue</value> |
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</property> |
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<property> |
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<name>mapred.output.key.comparator.class</name> |
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<value>eu.dnetlib.iis.core.javamapreduce.hack.KeyComparator</value> |
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</property> |
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<property> |
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<name>io.serializations</name> |
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<value> |
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org.apache.hadoop.io.serializer.WritableSerialization,org.apache.hadoop.io.serializer.avro.AvroSpecificSerialization,org.apache.hadoop.io.serializer.avro.AvroReflectSerialization,org.apache.avro.hadoop.io.AvroSerialization |
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<value>org.apache.hadoop.mapreduce.lib.output.SequenceFileOutputFormat |
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</value> |
| 57 | 49 |
</property> |
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<!-- ## This is required for new MapReduce API usage --> |
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|
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<property> |
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<name>mapred.output.value.groupfn.class</name> |
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<value>eu.dnetlib.iis.core.javamapreduce.hack.KeyComparator</value> |
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</property> |
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<property> |
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<name>rpc.engine.org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolPB</name> |
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<value>org.apache.hadoop.ipc.ProtobufRpcEngine</value> |
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</property> |
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|
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<!-- ## This is required for new MapReduce API usage --> |
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<property> |
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<name>mapred.mapper.new-api</name> |
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<value>true</value> |
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</property> |
| ... | ... | |
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<name>mapred.reducer.new-api</name> |
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<value>true</value> |
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</property> |
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<!-- # Job-specific options --> |
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<!-- ## Names of all output ports --> |
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<property> |
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<name>avro.mapreduce.multipleoutputs</name>
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<value>person age</value>
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<name>dfs.blocksize</name>
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<value>32M</value>
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| 85 | 66 |
</property> |
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<!-- ## Output classes for all output ports --> |
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<property> |
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<name>avro.mapreduce.multipleoutputs.namedOutput.person.format</name>
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<value>org.apache.avro.mapreduce.AvroKeyOutputFormat</value>
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<name>mapred.output.compress</name>
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<value>false</value>
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</property> |
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<property> |
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<name>avro.mapreduce.multipleoutputs.namedOutput.age.format</name>
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<value>org.apache.avro.mapreduce.AvroKeyOutputFormat</value>
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<name>mapred.reduce.tasks.speculative.execution</name>
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<value>false</value>
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| 96 | 76 |
</property> |
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<!-- ## Classes of mapper and reducer --> |
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| 100 | 78 |
<property> |
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<name>mapreduce.map.class</name>
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<value>eu.dnetlib.iis.core.examples.javamapreduce.PersonClonerMapper</value>
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<name>mapred.reduce.tasks.speculative.execution</name>
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<value>false</value>
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| 103 | 81 |
</property> |
| 104 | 82 |
<property> |
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<name>mapreduce.reduce.class</name>
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<value>eu.dnetlib.iis.core.examples.javamapreduce.MultipleOutputPersonClonerReducer</value>
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<name>mapreduce.map.speculative</name>
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<value>false</value>
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</property> |
| 108 |
|
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<!-- ## Schemas --> |
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<!-- ### Schema of the data ingested by the mapper. To be more precise, it's the schema |
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of Avro data passed as template parameter of the AvroKey object passed to mapper. |
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--> |
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<!-- I/O FORMAT --> |
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<property> |
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<name>eu.dnetlib.iis.avro.input.class</name> |
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<value>eu.dnetlib.iis.core.examples.schemas.documentandauthor.Person</value> |
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<name>mapreduce.outputformat.class</name> |
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<value>org.apache.hadoop.mapreduce.lib.output.SequenceFileOutputFormat |
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</value> |
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</property> |
| 118 |
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<!-- ### Schemas of the data produced by the mapper --> |
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<!-- #### Schema of the key produced by the mapper. To be more precise, it's the schema |
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of Avro data produced by the mapper and passed forward as template paramter of |
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AvroKey object. --> |
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|
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<!-- ## Names of all output ports --> |
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<property> |
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<name>eu.dnetlib.iis.avro.map.output.key.class</name> |
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<value>org.apache.avro.Schema.Type.STRING</value> |
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<name>mapreduce.multipleoutputs</name> |
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<value>datasourceLanguage datasource |
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<!-- project --> |
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<!-- result organization datasourceOrganization --> |
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<!-- datasourceTopic projectOrganization --> |
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<!-- resultClaim resultClassification resultConcept --> |
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<!-- resultLanguage resultOrganization --> |
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<!-- resultResult resultProject resultResult resultTopic category claim concept --> |
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<!-- resultLanguage resultDatasource --> |
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</property> |
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|
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<!-- ## Output classes for all output ports --> |
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|
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<property> |
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<name>mapreduce.multipleoutputs.namedOutput.datasource.format </name> |
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<value>TextOutputFormat.class</value> |
|
| 128 | 114 |
</property> |
| 129 |
|
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|
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<!-- #### Schema of the value produced by the mapper. To be more precise, it's the |
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schema of Avro data produced by the mapper and passed forward as template paramter |
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of AvroValue object. --> |
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|
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| 135 | 115 |
<property> |
| 136 |
<name>eu.dnetlib.iis.avro.map.output.value.class</name>
|
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<value>eu.dnetlib.iis.core.examples.schemas.documentandauthor.Person</value>
|
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<name>avro.mapreduce.multipleoutputs.namedOutput.datasourceLanguage.format</name>
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<value>TextOutputFormat.class</value>
|
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| 138 | 118 |
</property> |
| 139 |
|
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| 140 |
<!-- ### Shema of multiple output ports. -->
|
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|
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|
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| 120 |
<!-- ## Classes of mapper and reducer -->
|
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|
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| 142 | 122 |
<property> |
| 143 |
<name>eu.dnetlib.iis.avro.multipleoutputs.class.person</name> |
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<value>eu.dnetlib.iis.core.examples.schemas.documentandauthor.Person</value> |
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<name>mapreduce.map.class</name> |
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<value>eu.dnetlib.data.mapreduce.hbase.statsExport.StatsMapper |
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</value> |
|
| 145 | 126 |
</property> |
| 146 |
|
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| 147 | 127 |
<property> |
| 148 |
<name>eu.dnetlib.iis.avro.multipleoutputs.class.age</name> |
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<value>eu.dnetlib.iis.core.examples.schemas.documentandauthor.PersonAge</value> |
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<name>mapreduce.reduce.class</name> |
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<value>eu.dnetlib.data.mapreduce.hbase.statsExport.StatsReducer |
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</value> |
|
| 150 | 131 |
</property> |
| 151 |
|
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|
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|
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| 152 | 134 |
<!-- ## Specification of the input and output data store --> |
| 153 |
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|
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<!--delim character used to seperate fields in hdfs dump files --> |
|
| 154 | 137 |
<property> |
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<name>mapred.input.dir</name>
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<value>${workingDir}/data_producer/person</value>
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<name>mapred.output.delim</name>
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<value>${Stats.delimCharacter}</value>
|
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| 157 | 140 |
</property> |
| 158 |
<!-- This directory does not correspond to a data store. In fact, this directory only |
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contains multiple data stores. It has to be set to the name of the workflow node.--> |
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<!--default string for Null String Values --> |
|
| 160 | 142 |
<property> |
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<name>mapred.output.dir</name>
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<value>${workingDir}/mr_cloner</value>
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<name>mapred.output.nullString</name>
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<value>${Stats.nullStringField}</value>
|
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| 163 | 145 |
</property> |
| 164 |
|
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<!-- ## Workflow node parameters --> |
|
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|
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|
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<!--default string for Null Numeric Values --> |
|
| 167 | 148 |
<property> |
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<name>copiesCount</name>
|
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<value>2</value>
|
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<name>mapred.output.nullNum</name>
|
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<value>${Stats.nullNumericField}</value>
|
|
| 170 | 151 |
</property> |
| 152 |
<!--source hbase table --> |
|
| 171 | 153 |
<property> |
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<name>reducerCopiesCount</name>
|
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<value>3</value>
|
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<name>hbase.mapreduce.inputtable</name>
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<value>${Stats.HbaseSourceTable}</value>
|
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| 174 | 156 |
</property> |
| 175 |
</configuration> |
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</map-reduce> |
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<ok to="db_prepare" /> |
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<error to="fail" /> |
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</action> |
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|
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<!-- cloner works on duplicated data --> |
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<action name="db_prepare"> |
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<java> |
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<job-tracker>${jobTracker}</job-tracker>
|
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<name-node>${nameNode}</name-node>
|
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<!-- The data generated by this node is deleted in this section --> |
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<prepare> |
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<delete path="${nameNode}${workingDir}/cloner" />
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<mkdir path="${nameNode}${workingDir}/cloner" />
|
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</prepare> |
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<configuration> |
|
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|
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<!-- This directory does not correspond to a data store. In fact, this |
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directory only contains multiple data stores. It has to be set to the name |
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of the workflow node. --> |
|
| 192 | 161 |
<property> |
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<name>mapred.job.queue.name</name>
|
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<value>${queueName}</value>
|
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<name>mapred.output.dir</name>
|
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<value>${nameNode}${workingDir}/${Stats.outputPath}</value>
|
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| 195 | 164 |
</property> |
| 196 |
</configuration> |
|
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<!-- This is simple wrapper for the Java code --> |
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<main-class>eu.dnetlib.iis.core.java.ProcessWrapper</main-class> |
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<!-- The business Java code that gets to be executed --> |
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<arg>eu.dnetlib.iis.core.examples.java.PersonCloner</arg> |
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<!-- All input and output ports have to be bound to paths in HDFS, working directory |
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has to be specified as well --> |
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<arg>-SworkingDir=${workingDir}/cloner/working_dir</arg>
|
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<arg>-Iperson=${workingDir}/mr_cloner/person</arg>
|
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<arg>-Operson=${workingDir}/cloner/person</arg>
|
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</java> |
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<ok to="mr_SqoopImport" /> |
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<error to="fail" /> |
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</action> |
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|
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|
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<action name="mr_SqoopImport"> |
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<java> |
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<job-tracker>${jobTracker}</job-tracker>
|
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<name-node>${nameNode}</name-node>
|
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| 216 |
<!-- The data generated by this node is deleted in this section --> |
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<prepare> |
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<delete path="${nameNode}${workingDir}/cloner" />
|
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<mkdir path="${nameNode}${workingDir}/cloner" />
|
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</prepare> |
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<configuration> |
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|
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<!-- ## Workflow node parameters --> |
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|
|
| 222 | 168 |
<property> |
| 223 |
<name>mapred.job.queue.name</name>
|
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| 224 |
<value>${queueName}</value>
|
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<name>copiesCount</name>
|
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<value>1</value>
|
|
| 225 | 171 |
</property> |
| 226 |
</configuration> |
|
| 227 |
<!-- This is simple wrapper for the Java code --> |
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| 228 |
<main-class>eu.dnetlib.iis.core.java.ProcessWrapper</main-class> |
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| 229 |
<!-- The business Java code that gets to be executed --> |
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<arg>eu.dnetlib.iis.core.examples.java.PersonCloner</arg> |
|
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<!-- All input and output ports have to be bound to paths in HDFS, working directory |
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has to be specified as well --> |
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<arg>-SworkingDir=${workingDir}/cloner/working_dir</arg>
|
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<arg>-Iperson=${workingDir}/mr_cloner/person</arg>
|
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<arg>-Operson=${workingDir}/cloner/person</arg>
|
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</java> |
|
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<ok to="db_finalize" /> |
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<error to="fail" /> |
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</action> |
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|
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<action name="db_finalize"> |
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<java> |
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<job-tracker>${jobTracker}</job-tracker>
|
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<name-node>${nameNode}</name-node>
|
|
| 245 |
<!-- The data generated by this node is deleted in this section --> |
|
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<prepare> |
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<delete path="${nameNode}${workingDir}/cloner" />
|
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<mkdir path="${nameNode}${workingDir}/cloner" />
|
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| 249 |
</prepare> |
|
| 250 |
<configuration> |
|
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<property> |
| 252 |
<name>mapred.job.queue.name</name>
|
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<value>${queueName}</value>
|
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| 173 |
<name>reducerCopiesCount</name>
|
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| 174 |
<value>10</value>
|
|
| 254 | 175 |
</property> |
| 255 | 176 |
</configuration> |
| 256 |
<!-- This is simple wrapper for the Java code --> |
|
| 257 |
<main-class>eu.dnetlib.iis.core.java.ProcessWrapper</main-class> |
|
| 258 |
<!-- The business Java code that gets to be executed --> |
|
| 259 |
<arg>eu.dnetlib.iis.core.examples.java.PersonCloner</arg> |
|
| 260 |
<!-- All input and output ports have to be bound to paths in HDFS, working directory |
|
| 261 |
has to be specified as well --> |
|
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<arg>-SworkingDir=${workingDir}/cloner/working_dir</arg>
|
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<arg>-Iperson=${workingDir}/mr_cloner/person</arg>
|
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<arg>-Operson=${workingDir}/cloner/person</arg>
|
|
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</java> |
|
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</map-reduce> |
|
| 266 | 178 |
<ok to="end" /> |
| 267 | 179 |
<error to="fail" /> |
| 268 | 180 |
</action> |
| 269 |
|
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|
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|
|
| 272 |
|
|
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|
|
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<!-- cloner works on duplicated data --> |
|
| 183 |
<!-- <action name="db_prepare"> --> |
|
| 184 |
<!-- <java> --> |
|
| 185 |
<!-- <job-tracker>${jobTracker}</job-tracker> -->
|
|
| 186 |
<!-- <name-node>${nameNode}</name-node> -->
|
|
| 187 |
<!-- <!-- The data generated by this node is deleted in this section --> --> |
|
| 188 |
<!-- <prepare> --> |
|
| 189 |
<!-- <delete path="${nameNode}${workingDir}/cloner" /> -->
|
|
| 190 |
<!-- <mkdir path="${nameNode}${workingDir}/cloner" /> -->
|
|
| 191 |
<!-- </prepare> --> |
|
| 192 |
<!-- <configuration> --> |
|
| 193 |
<!-- <property> --> |
|
| 194 |
<!-- <name>mapred.job.queue.name</name> --> |
|
| 195 |
<!-- <value>${queueName}</value> -->
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|
| 196 |
<!-- </property> --> |
|
| 197 |
<!-- </configuration> --> |
|
| 198 |
<!-- <!-- This is simple wrapper for the Java code --> --> |
|
| 199 |
<!-- <main-class>eu.dnetlib.iis.core.java.ProcessWrapper</main-class> --> |
|
| 200 |
<!-- <!-- The business Java code that gets to be executed --> --> |
|
| 201 |
<!-- <arg>eu.dnetlib.iis.core.examples.java.PersonCloner</arg> --> |
|
| 202 |
<!-- <!-- All input and output ports have to be bound to paths in HDFS, working --> |
|
| 203 |
<!-- directory has to be specified as well --> --> |
|
| 204 |
<!-- <arg>-SworkingDir=${workingDir}/cloner/working_dir</arg> -->
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|
| 205 |
<!-- <arg>-Iperson=${workingDir}/mr_cloner/person</arg> -->
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|
| 206 |
<!-- <arg>-Operson=${workingDir}/cloner/person</arg> -->
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|
| 207 |
<!-- </java> --> |
|
| 208 |
<!-- <ok to="mr_SqoopImport" /> --> |
|
| 209 |
<!-- <error to="fail" /> --> |
|
| 210 |
<!-- </action> --> |
|
| 211 |
|
|
| 212 |
|
|
| 213 |
<!-- <action name="mr_SqoopImport"> --> |
|
| 214 |
<!-- <java> --> |
|
| 215 |
<!-- <job-tracker>${jobTracker}</job-tracker> -->
|
|
| 216 |
<!-- <name-node>${nameNode}</name-node> -->
|
|
| 217 |
<!-- <!-- The data generated by this node is deleted in this section --> --> |
|
| 218 |
<!-- <prepare> --> |
|
| 219 |
<!-- <delete path="${nameNode}${workingDir}/cloner" /> -->
|
|
| 220 |
<!-- <mkdir path="${nameNode}${workingDir}/cloner" /> -->
|
|
| 221 |
<!-- </prepare> --> |
|
| 222 |
<!-- <configuration> --> |
|
| 223 |
<!-- <property> --> |
|
| 224 |
<!-- <name>mapred.job.queue.name</name> --> |
|
| 225 |
<!-- <value>${queueName}</value> -->
|
|
| 226 |
<!-- </property> --> |
|
| 227 |
<!-- </configuration> --> |
|
| 228 |
<!-- <!-- This is simple wrapper for the Java code --> --> |
|
| 229 |
<!-- <main-class>eu.dnetlib.iis.core.java.ProcessWrapper</main-class> --> |
|
| 230 |
<!-- <!-- The business Java code that gets to be executed --> --> |
|
| 231 |
<!-- <arg>eu.dnetlib.iis.core.examples.java.PersonCloner</arg> --> |
|
| 232 |
<!-- <!-- All input and output ports have to be bound to paths in HDFS, working --> |
|
| 233 |
<!-- directory has to be specified as well --> --> |
|
| 234 |
<!-- <arg>-SworkingDir=${workingDir}/cloner/working_dir</arg> -->
|
|
| 235 |
<!-- <arg>-Iperson=${workingDir}/mr_cloner/person</arg> -->
|
|
| 236 |
<!-- <arg>-Operson=${workingDir}/cloner/person</arg> -->
|
|
| 237 |
<!-- </java> --> |
|
| 238 |
<!-- <ok to="db_finalize" /> --> |
|
| 239 |
<!-- <error to="fail" /> --> |
|
| 240 |
<!-- </action> --> |
|
| 241 |
|
|
| 242 |
<!-- <action name="db_finalize"> --> |
|
| 243 |
<!-- <java> --> |
|
| 244 |
<!-- <job-tracker>${jobTracker}</job-tracker> -->
|
|
| 245 |
<!-- <name-node>${nameNode}</name-node> -->
|
|
| 246 |
<!-- <!-- The data generated by this node is deleted in this section --> --> |
|
| 247 |
<!-- <prepare> --> |
|
| 248 |
<!-- <delete path="${nameNode}${workingDir}/cloner" /> -->
|
|
| 249 |
<!-- <mkdir path="${nameNode}${workingDir}/cloner" /> -->
|
|
| 250 |
<!-- </prepare> --> |
|
| 251 |
<!-- <configuration> --> |
|
| 252 |
<!-- <property> --> |
|
| 253 |
<!-- <name>mapred.job.queue.name</name> --> |
|
| 254 |
<!-- <value>${queueName}</value> -->
|
|
| 255 |
<!-- </property> --> |
|
| 256 |
<!-- </configuration> --> |
|
| 257 |
<!-- <!-- This is simple wrapper for the Java code --> --> |
|
| 258 |
<!-- <main-class>eu.dnetlib.iis.core.java.ProcessWrapper</main-class> --> |
|
| 259 |
<!-- <!-- The business Java code that gets to be executed --> --> |
|
| 260 |
<!-- <arg>eu.dnetlib.iis.core.examples.java.PersonCloner</arg> --> |
|
| 261 |
<!-- <!-- All input and output ports have to be bound to paths in HDFS, working --> |
|
| 262 |
<!-- directory has to be specified as well --> --> |
|
| 263 |
<!-- <arg>-SworkingDir=${workingDir}/cloner/working_dir</arg> -->
|
|
| 264 |
<!-- <arg>-Iperson=${workingDir}/mr_cloner/person</arg> -->
|
|
| 265 |
<!-- <arg>-Operson=${workingDir}/cloner/person</arg> -->
|
|
| 266 |
<!-- </java> --> |
|
| 267 |
<!-- <ok to="end" /> --> |
|
| 268 |
<!-- <error to="fail" /> --> |
|
| 269 |
<!-- </action> --> |
|
| 270 |
|
|
| 271 |
|
|
| 272 |
|
|
| 273 |
|
|
| 273 | 274 |
<kill name="fail"> |
| 274 | 275 |
<message> |
| 275 |
Unfortunately, the process failed -- error message: [${wf:errorMessage(wf:lastErrorNode())}]
|
|
| 276 |
Unfortunately, the process failed -- error message: |
|
| 277 |
[${wf:errorMessage(wf:lastErrorNode())}]
|
|
| 276 | 278 |
</message> |
| 277 | 279 |
</kill> |
| 278 | 280 |
<end name="end" /> |
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