Github user atsikiridis commented on a diff in the pull request:
https://github.com/apache/incubator-flink/pull/37#discussion_r15377406
--- Diff:
flink-addons/flink-hadoop-compatibility/src/main/java/org/apache/flink/hadoopcompatibility/mapred/FlinkHadoopJobClient.java
---
@@ -0,0 +1,318 @@
+/**
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.flink.hadoopcompatibility.mapred;
+
+import org.apache.flink.api.java.DataSet;
+import org.apache.flink.api.java.ExecutionEnvironment;
+import org.apache.flink.api.java.operators.FlatMapOperator;
+import org.apache.flink.api.java.operators.ReduceGroupOperator;
+import org.apache.flink.api.java.operators.UnsortedGrouping;
+import org.apache.flink.api.java.typeutils.TypeExtractor;
+import
org.apache.flink.hadoopcompatibility.mapred.utils.HadoopIdentityReduce;
+import
org.apache.flink.hadoopcompatibility.mapred.wrapper.HadoopGroupingKeySelector;
+import
org.apache.flink.hadoopcompatibility.mapred.wrapper.HadoopPartitioner;
+import org.apache.flink.types.TypeInformation;
+import org.apache.flink.util.InstantiationUtil;
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.io.RawComparator;
+import org.apache.hadoop.mapred.Counters;
+import org.apache.hadoop.mapred.InputFormat;
+import org.apache.hadoop.mapred.JobClient;
+import org.apache.hadoop.mapred.JobConf;
+import org.apache.hadoop.mapred.JobID;
+import org.apache.hadoop.mapred.JobStatus;
+import org.apache.hadoop.mapred.Mapper;
+import org.apache.hadoop.mapred.Partitioner;
+import org.apache.hadoop.mapred.Reducer;
+import org.apache.hadoop.mapred.RunningJob;
+import org.apache.hadoop.mapred.TaskAttemptID;
+import org.apache.hadoop.mapred.TaskCompletionEvent;
+
+import java.io.IOException;
+
+/**
+ * The user's view of a Hadoop Job executed on a Flink cluster.
+ */
+public class FlinkHadoopJobClient extends JobClient {
+
+ private final ExecutionEnvironment environment;
+ private Configuration hadoopConf;
+
+ public FlinkHadoopJobClient() throws IOException {
+ this(new Configuration());
+ }
+
+ public FlinkHadoopJobClient(JobConf jobConf) throws IOException {
+ this(new Configuration(jobConf));
+ }
+
+ public FlinkHadoopJobClient(Configuration hadoopConf) throws
IOException{
+ this(hadoopConf,
(ExecutionEnvironment.getExecutionEnvironment()));
+ }
+
+ public FlinkHadoopJobClient(Configuration hadoopConf,
ExecutionEnvironment environment) throws IOException {
+ super(new JobConf(hadoopConf));
+ this.hadoopConf = hadoopConf;
+ this.environment = environment;
+ }
+
+ /**
+ * Submits a Hadoop job to Flink (as described by the JobConf) and
returns after the job has been completed.
+ */
+ public static RunningJob runJob(JobConf hadoopJobConf) throws
IOException{
+ final FlinkHadoopJobClient jobClient = new
FlinkHadoopJobClient(hadoopJobConf);
+ final RunningJob job = jobClient.submitJob(hadoopJobConf);
+ job.waitForCompletion();
+ return job;
+ }
+
+ /**
+ * Submits a job to Flink and returns a RunningJob instance which can
be scheduled and monitored
+ * without blocking by default. Use waitForCompletion() to block until
the job is finished.
+ */
+ @Override
+ @SuppressWarnings("unchecked")
+ public RunningJob submitJob(JobConf hadoopJobConf) throws IOException{
+
+ //setting up the inputFormat for the job
+ final DataSet input =
environment.createInput(getFlinkInputFormat(hadoopJobConf));
+
+ final Mapper mapper =
InstantiationUtil.instantiate(hadoopJobConf.getMapperClass());
+ final Class mapOutputKeyClass =
hadoopJobConf.getMapOutputKeyClass();
+ final Class mapOutputValueClass =
hadoopJobConf.getMapOutputValueClass();
+ final FlatMapOperator mapped = input.flatMap(new
HadoopMapFunction(mapper, mapOutputKeyClass,
+ mapOutputValueClass));
+ mapped.setParallelism(getMapParallelism(hadoopJobConf));
+
+ //Partitioning
--- End diff --
What if this unified partitioner / groupingcomparator gives us ```(
(partition, keyOfGroup), (K,V) ) ``` Would that also be wrong ?
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