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<workflow-app xmlns="uri:oozie:workflow:0.4" name="metadataextraction">
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<parameters>
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<property>
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<name>input</name>
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<description>metadata extraction input directory</description>
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</property>
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<property>
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<name>output_root</name>
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<description>metadata extraction output directory</description>
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</property>
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<property>
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<name>output_name_meta</name>
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<value>meta</value>
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<description>metadata output subdirectory name</description>
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</property>
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<property>
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<name>output_name_plaintext</name>
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<value>plaintext</value>
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<description>plaintext output subdirectory name</description>
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</property>
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<property>
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<name>excluded_ids</name>
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<value>$UNDEFINED$</value>
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<description>excluded identifiers list</description>
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</property>
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<property>
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<name>max_file_size_mb</name>
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<value>$UNDEFINED$</value>
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<description>maximum allowed file size in Megabytes</description>
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</property>
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<property>
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<name>content_connection_timeout</name>
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<value>60000</value>
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<description>streaming content connection timeout</description>
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</property>
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<property>
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<name>content_read_timeout</name>
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<value>60000</value>
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<description>streaming content read timeout</description>
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</property>
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<property>
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<name>mapred_child_java_opts</name>
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<value>-Xmx2048m</value>
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<description>java-opts, e.g. maximum heap size for oozie</description>
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</property>
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<property>
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<name>mapred_max_split_size</name>
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<value>50000</value>
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<description>maximum input data split size, required by streaming version reading DocumentContentUrl to split input data into more chunks</description>
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</property>
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<property>
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<name>processing_mode</name>
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<value>MetadataExtractorMapper</value>
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<description>metadata extraction processing mode, supported values: MetadataExtractorMapper, StreamingMetadataExtractorMapper</description>
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</property>
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<property>
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<name>inputport_classname</name>
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<value>eu.dnetlib.iis.importer.schemas.DocumentContent</value>
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<description>input classname, should be adjusted according to the processing_mode value. Supported values: eu.dnetlib.iis.importer.schemas.DocumentContent, eu.dnetlib.iis.importer.auxiliary.schemas.DocumentContentUrl</description>
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</property>
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</parameters>
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<start to="metadata_extractor"/>
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<action name="metadata_extractor">
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<map-reduce>
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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="${nameNode}${output_root}" />
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</prepare>
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<configuration>
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<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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</property>
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<property>
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<name>mapred.mapoutput.key.class</name>
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<value>org.apache.avro.mapred.AvroKey</value>
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</property>
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<property>
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<name>mapred.mapoutput.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.class</name>
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<value>org.apache.avro.mapred.AvroKey</value>
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</property>
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<property>
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<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>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>
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</property>
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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
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</name>
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<value>org.apache.hadoop.ipc.ProtobufRpcEngine</value>
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</property>
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<!-- This is required for new 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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<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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<!-- Standard stuff for our framework -->
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<property>
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<name>mapred.job.queue.name</name>
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<value>${queueName}</value>
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</property>
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<property>
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<name>mapred.child.java.opts</name>
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<value>${mapred_child_java_opts}</value>
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</property>
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<property>
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<name>mapred.max.split.size</name>
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<value>${mapred_max_split_size}</value>
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</property>
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<property>
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<name>avro.mapreduce.multipleoutputs</name>
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<value>${output_name_meta} ${output_name_plaintext}</value>
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</property>
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<!-- ## Output classes for all output ports -->
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<property>
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<name>avro.mapreduce.multipleoutputs.namedOutput.${output_name_meta}.format
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</name>
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<value>org.apache.avro.mapreduce.AvroKeyOutputFormat</value>
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</property>
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<property>
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<name>avro.mapreduce.multipleoutputs.namedOutput.${output_name_plaintext}.format
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</name>
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<value>org.apache.avro.mapreduce.AvroKeyOutputFormat</value>
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</property>
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<!-- ### Schema of the data ingested by the mapper. To be more precise,
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it's the schema of Avro data passed as template parameter of the AvroKey
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object passed to mapper. -->
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<property>
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<name>eu.dnetlib.iis.avro.input.class</name>
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<value>${inputport_classname}</value>
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</property>
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<!-- As a convention, we're setting "null" values
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since mapper does not produce any standard data in this example
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(probably any other valid Avro schema would be OK as well).-->
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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.NULL</value>
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</property>
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<!-- As a convention, we're setting "null" values
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since mapper does not produce any standard data in this example
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(probably any other valid Avro schema would be OK as well).-->
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<property>
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<name>eu.dnetlib.iis.avro.map.output.value.class</name>
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<value>org.apache.avro.Schema.Type.NULL</value>
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</property>
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<!-- ### Schema of multiple output ports. -->
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<property>
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<name>eu.dnetlib.iis.avro.multipleoutputs.class.${output_name_meta}</name>
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<value>eu.dnetlib.iis.metadataextraction.schemas.ExtractedDocumentMetadata</value>
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</property>
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<property>
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<name>eu.dnetlib.iis.avro.multipleoutputs.class.${output_name_plaintext}</name>
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<value>eu.dnetlib.iis.metadataextraction.schemas.DocumentText</value>
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</property>
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<property>
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<name>mapred.input.dir</name>
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<value>${input}</value>
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</property>
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<property>
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<name>mapred.output.dir</name>
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<value>${output_root}</value>
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</property>
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<property>
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<name>output.meta</name>
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<value>${output_name_meta}</value>
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</property>
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<property>
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<name>output.plaintext</name>
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<value>${output_name_plaintext}</value>
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</property>
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<property>
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<name>excluded.ids</name>
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<value>${excluded_ids}</value>
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</property>
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<property>
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<name>import.content.max.file.size.mb</name>
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<value>${max_file_size_mb}</value>
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</property>
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<property>
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<name>import.content.connection.timeout</name>
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<value>${content_connection_timeout}</value>
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</property>
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<property>
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<name>import.content.read.timeout</name>
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<value>${content_read_timeout}</value>
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</property>
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<property>
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<name>mapreduce.map.class</name>
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<value>eu.dnetlib.iis.metadataextraction.${processing_mode}</value>
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</property>
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<property>
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<name>mapred.reduce.tasks</name>
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<value>0</value>
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</property>
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</configuration>
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</map-reduce>
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<ok to="end"/>
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<error to="fail"/>
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</action>
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<kill name="fail">
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<message>Unfortunately, the process failed -- error message: [${wf:errorMessage(wf:lastErrorNode())}]</message>
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</kill>
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<end name="end"/>
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</workflow-app>
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