HBASE-1626 Allow emitting Deletes out of new TableReducer
git-svn-id: https://svn.apache.org/repos/asf/hadoop/hbase/trunk@792388 13f79535-47bb-0310-9956-ffa450edef68
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@ -450,6 +450,8 @@ Release 0.20.0 - Unreleased
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HBASE-1620 Need to use special StoreScanner constructor for major compactions
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(passed sf, no caching, etc) (Jon Gray via Stack)
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HBASE-1624 Don't sort Puts if only one in list in HCM#processBatchOfRows
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HBASE-1626 Allow emitting Deletes out of new TableReducer
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(Lars George via Stack)
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OPTIMIZATIONS
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HBASE-1412 Change values for delete column and column family in KeyValue
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@ -70,7 +70,7 @@ public class Delete implements Writable {
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/** Constructor for Writable. DO NOT USE */
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public Delete() {
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this(null);
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this((byte [])null);
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}
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/**
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@ -107,6 +107,16 @@ public class Delete implements Writable {
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}
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}
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/**
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* @param d Delete to clone.
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*/
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public Delete(final Delete d) {
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this.row = d.getRow();
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this.ts = d.getTimeStamp();
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this.lockId = d.getLockId();
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this.familyMap.putAll(d.getFamilyMap());
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}
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/**
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* Method to check if the familyMap is empty
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* @return true if empty, false otherwise
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@ -20,38 +20,60 @@
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package org.apache.hadoop.hbase.mapreduce;
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import java.io.IOException;
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import java.util.Iterator;
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import org.apache.commons.logging.Log;
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import org.apache.commons.logging.LogFactory;
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import org.apache.hadoop.hbase.client.Put;
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import org.apache.hadoop.hbase.io.ImmutableBytesWritable;
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import org.apache.hadoop.io.Writable;
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import org.apache.hadoop.mapreduce.OutputFormat;
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/**
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* Convenience class that simply writes each key, record pair to the configured
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* HBase table.
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* Convenience class that simply writes all values (which must be
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* {@link org.apache.hadoop.hbase.client.Put Put} or
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* {@link org.apache.hadoop.hbase.client.Delete Delete} instances)
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* passed to it out to the configured HBase table. This works in combination
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* with {@link TableOutputFormat} which actually does the writing to HBase.<p>
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*
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* Keys are passed along but ignored in TableOutputFormat. However, they can
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* be used to control how your values will be divided up amongst the specified
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* number of reducers. <p>
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*
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* You can also use the {@link TableMapReduceUtil} class to set up the two
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* classes in one step:
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* <blockquote><code>
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* TableMapReduceUtil.initTableReducerJob("table", IdentityTableReducer.class, job);
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* </code></blockquote>
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* This will also set the proper {@link TableOutputFormat} which is given the
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* <code>table</code> parameter. The
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* {@link org.apache.hadoop.hbase.client.Put Put} or
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* {@link org.apache.hadoop.hbase.client.Delete Delete} define the
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* row and columns implicitly.
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*/
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public class IdentityTableReducer
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extends TableReducer<ImmutableBytesWritable, Put> {
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extends TableReducer<Writable, Writable, Writable> {
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@SuppressWarnings("unused")
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private static final Log LOG = LogFactory.getLog(IdentityTableReducer.class);
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/**
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* Writes each given record, consisting of the key and the given values, to
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* the HBase table.
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* Writes each given record, consisting of the row key and the given values,
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* to the configured {@link OutputFormat}. It is emitting the row key and each
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* {@link org.apache.hadoop.hbase.client.Put Put} or
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* {@link org.apache.hadoop.hbase.client.Delete Delete} as separate pairs.
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*
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* @param key The current row key.
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* @param values The values for the given row.
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* @param key The current row key.
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* @param values The {@link org.apache.hadoop.hbase.client.Put Put} or
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* {@link org.apache.hadoop.hbase.client.Delete Delete} list for the given
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* row.
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* @param context The context of the reduce.
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* @throws IOException When writing the record fails.
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* @throws InterruptedException When the job gets interrupted.
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*/
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public void reduce(ImmutableBytesWritable key, Iterator<Put> values,
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@Override
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public void reduce(Writable key, Iterable<Writable> values,
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Context context) throws IOException, InterruptedException {
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while(values.hasNext()) {
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context.write(key, values.next());
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for(Writable putOrDelete : values) {
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context.write(key, putOrDelete);
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}
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}
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}
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@ -24,29 +24,36 @@ import java.io.IOException;
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import org.apache.commons.logging.Log;
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import org.apache.commons.logging.LogFactory;
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import org.apache.hadoop.hbase.HBaseConfiguration;
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import org.apache.hadoop.hbase.client.Delete;
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import org.apache.hadoop.hbase.client.HTable;
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import org.apache.hadoop.hbase.client.Put;
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import org.apache.hadoop.hbase.io.ImmutableBytesWritable;
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import org.apache.hadoop.io.Writable;
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import org.apache.hadoop.mapreduce.JobContext;
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import org.apache.hadoop.mapreduce.OutputCommitter;
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import org.apache.hadoop.mapreduce.OutputFormat;
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import org.apache.hadoop.mapreduce.RecordWriter;
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import org.apache.hadoop.mapreduce.TaskAttemptContext;
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import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
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/**
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* Convert Map/Reduce output and write it to an HBase table.
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* Convert Map/Reduce output and write it to an HBase table. The KEY is ignored
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* while the output value <u>must</u> be either a {@link Put} or a
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* {@link Delete} instance.
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*
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* @param <KEY> The type of the key. Ignored in this class.
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*/
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public class TableOutputFormat extends
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FileOutputFormat<ImmutableBytesWritable, Put> {
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public class TableOutputFormat<KEY> extends OutputFormat<KEY, Writable> {
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private final Log LOG = LogFactory.getLog(TableOutputFormat.class);
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/** Job parameter that specifies the output table. */
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public static final String OUTPUT_TABLE = "hbase.mapred.outputtable";
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/**
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* Convert Reduce output (key, value) to (HStoreKey, KeyedDataArrayWritable)
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* and write to an HBase table
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* Writes the reducer output to an HBase table.
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*
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* @param <KEY> The type of the key.
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*/
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protected static class TableRecordWriter
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extends RecordWriter<ImmutableBytesWritable, Put> {
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protected static class TableRecordWriter<KEY>
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extends RecordWriter<KEY, Writable> {
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/** The table to write to. */
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private HTable table;
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@ -82,9 +89,11 @@ public class TableOutputFormat extends
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* @see org.apache.hadoop.mapreduce.RecordWriter#write(java.lang.Object, java.lang.Object)
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*/
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@Override
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public void write(ImmutableBytesWritable key, Put value)
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public void write(KEY key, Writable value)
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throws IOException {
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table.put(new Put(value));
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if (value instanceof Put) this.table.put(new Put((Put)value));
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else if (value instanceof Delete) this.table.delete(new Delete((Delete)value));
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else throw new IOException("Pass a Delete or a Put");
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}
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}
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@ -97,7 +106,7 @@ public class TableOutputFormat extends
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* @throws InterruptedException When the jobs is cancelled.
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* @see org.apache.hadoop.mapreduce.lib.output.FileOutputFormat#getRecordWriter(org.apache.hadoop.mapreduce.TaskAttemptContext)
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*/
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public RecordWriter<ImmutableBytesWritable, Put> getRecordWriter(
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public RecordWriter<KEY, Writable> getRecordWriter(
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TaskAttemptContext context)
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throws IOException, InterruptedException {
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// expecting exactly one path
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@ -111,7 +120,37 @@ public class TableOutputFormat extends
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throw e;
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}
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table.setAutoFlush(false);
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return new TableRecordWriter(table);
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return new TableRecordWriter<KEY>(table);
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}
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/**
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* Checks if the output target exists.
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*
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* @param context The current context.
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* @throws IOException When the check fails.
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* @throws InterruptedException When the job is aborted.
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* @see org.apache.hadoop.mapreduce.OutputFormat#checkOutputSpecs(org.apache.hadoop.mapreduce.JobContext)
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*/
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@Override
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public void checkOutputSpecs(JobContext context) throws IOException,
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InterruptedException {
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// TODO Check if the table exists?
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}
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/**
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* Returns the output committer.
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*
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* @param context The current context.
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* @return The committer.
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* @throws IOException When creating the committer fails.
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* @throws InterruptedException When the job is aborted.
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* @see org.apache.hadoop.mapreduce.OutputFormat#getOutputCommitter(org.apache.hadoop.mapreduce.TaskAttemptContext)
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*/
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@Override
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public OutputCommitter getOutputCommitter(TaskAttemptContext context)
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throws IOException, InterruptedException {
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return new TableOutputCommitter();
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}
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}
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@ -19,19 +19,26 @@
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*/
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package org.apache.hadoop.hbase.mapreduce;
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import org.apache.hadoop.hbase.client.Put;
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import org.apache.hadoop.hbase.io.ImmutableBytesWritable;
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import org.apache.hadoop.io.Writable;
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import org.apache.hadoop.mapreduce.Reducer;
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/**
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* Extends the basic <code>Reducer</code> class to add the required key and
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* value output classes.
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* value input/output classes. While the input key and value as well as the
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* output key can be anything handed in from the previous map phase the output
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* value <u>must</u> be either a {@link org.apache.hadoop.hbase.client.Put Put}
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* or a {@link org.apache.hadoop.hbase.client.Delete Delete} instance when
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* using the {@link TableOutputFormat} class.
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* <p>
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* This class is extended by {@link IdentityTableReducer} but can also be
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* subclassed to implement similar features or any custom code needed. It has
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* the advantage to enforce the output value to a specific basic type.
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*
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* @param <KEYIN> The type of the key.
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* @param <VALUEIN> The type of the value.
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* @param <KEYIN> The type of the input key.
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* @param <VALUEIN> The type of the input value.
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* @param <KEYOUT> The type of the output key.
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* @see org.apache.hadoop.mapreduce.Reducer
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*/
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public abstract class TableReducer<KEYIN, VALUEIN>
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extends Reducer<KEYIN, VALUEIN, ImmutableBytesWritable, Put> {
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public abstract class TableReducer<KEYIN, VALUEIN, KEYOUT>
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extends Reducer<KEYIN, VALUEIN, KEYOUT, Writable> {
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}
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