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
This commit is contained in:
Michael Stack 2009-07-09 04:08:20 +00:00
parent b015cc7fc1
commit ff272e45ad
5 changed files with 116 additions and 36 deletions

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@ -450,6 +450,8 @@ Release 0.20.0 - Unreleased
HBASE-1620 Need to use special StoreScanner constructor for major compactions HBASE-1620 Need to use special StoreScanner constructor for major compactions
(passed sf, no caching, etc) (Jon Gray via Stack) (passed sf, no caching, etc) (Jon Gray via Stack)
HBASE-1624 Don't sort Puts if only one in list in HCM#processBatchOfRows HBASE-1624 Don't sort Puts if only one in list in HCM#processBatchOfRows
HBASE-1626 Allow emitting Deletes out of new TableReducer
(Lars George via Stack)
OPTIMIZATIONS OPTIMIZATIONS
HBASE-1412 Change values for delete column and column family in KeyValue 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 {
/** Constructor for Writable. DO NOT USE */ /** Constructor for Writable. DO NOT USE */
public Delete() { public Delete() {
this(null); this((byte [])null);
} }
/** /**
@ -107,6 +107,16 @@ public class Delete implements Writable {
} }
} }
/**
* @param d Delete to clone.
*/
public Delete(final Delete d) {
this.row = d.getRow();
this.ts = d.getTimeStamp();
this.lockId = d.getLockId();
this.familyMap.putAll(d.getFamilyMap());
}
/** /**
* Method to check if the familyMap is empty * Method to check if the familyMap is empty
* @return true if empty, false otherwise * @return true if empty, false otherwise

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@ -20,38 +20,60 @@
package org.apache.hadoop.hbase.mapreduce; package org.apache.hadoop.hbase.mapreduce;
import java.io.IOException; import java.io.IOException;
import java.util.Iterator;
import org.apache.commons.logging.Log; import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory; import org.apache.commons.logging.LogFactory;
import org.apache.hadoop.hbase.client.Put; import org.apache.hadoop.io.Writable;
import org.apache.hadoop.hbase.io.ImmutableBytesWritable; import org.apache.hadoop.mapreduce.OutputFormat;
/** /**
* Convenience class that simply writes each key, record pair to the configured * Convenience class that simply writes all values (which must be
* HBase table. * {@link org.apache.hadoop.hbase.client.Put Put} or
* {@link org.apache.hadoop.hbase.client.Delete Delete} instances)
* passed to it out to the configured HBase table. This works in combination
* with {@link TableOutputFormat} which actually does the writing to HBase.<p>
*
* Keys are passed along but ignored in TableOutputFormat. However, they can
* be used to control how your values will be divided up amongst the specified
* number of reducers. <p>
*
* You can also use the {@link TableMapReduceUtil} class to set up the two
* classes in one step:
* <blockquote><code>
* TableMapReduceUtil.initTableReducerJob("table", IdentityTableReducer.class, job);
* </code></blockquote>
* This will also set the proper {@link TableOutputFormat} which is given the
* <code>table</code> parameter. The
* {@link org.apache.hadoop.hbase.client.Put Put} or
* {@link org.apache.hadoop.hbase.client.Delete Delete} define the
* row and columns implicitly.
*/ */
public class IdentityTableReducer public class IdentityTableReducer
extends TableReducer<ImmutableBytesWritable, Put> { extends TableReducer<Writable, Writable, Writable> {
@SuppressWarnings("unused") @SuppressWarnings("unused")
private static final Log LOG = LogFactory.getLog(IdentityTableReducer.class); private static final Log LOG = LogFactory.getLog(IdentityTableReducer.class);
/** /**
* Writes each given record, consisting of the key and the given values, to * Writes each given record, consisting of the row key and the given values,
* the HBase table. * to the configured {@link OutputFormat}. It is emitting the row key and each
* {@link org.apache.hadoop.hbase.client.Put Put} or
* {@link org.apache.hadoop.hbase.client.Delete Delete} as separate pairs.
* *
* @param key The current row key. * @param key The current row key.
* @param values The values for the given row. * @param values The {@link org.apache.hadoop.hbase.client.Put Put} or
* {@link org.apache.hadoop.hbase.client.Delete Delete} list for the given
* row.
* @param context The context of the reduce. * @param context The context of the reduce.
* @throws IOException When writing the record fails. * @throws IOException When writing the record fails.
* @throws InterruptedException When the job gets interrupted. * @throws InterruptedException When the job gets interrupted.
*/ */
public void reduce(ImmutableBytesWritable key, Iterator<Put> values, @Override
public void reduce(Writable key, Iterable<Writable> values,
Context context) throws IOException, InterruptedException { Context context) throws IOException, InterruptedException {
while(values.hasNext()) { for(Writable putOrDelete : values) {
context.write(key, values.next()); context.write(key, putOrDelete);
} }
} }
} }

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@ -24,29 +24,36 @@ import java.io.IOException;
import org.apache.commons.logging.Log; import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory; import org.apache.commons.logging.LogFactory;
import org.apache.hadoop.hbase.HBaseConfiguration; import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.client.Delete;
import org.apache.hadoop.hbase.client.HTable; import org.apache.hadoop.hbase.client.HTable;
import org.apache.hadoop.hbase.client.Put; import org.apache.hadoop.hbase.client.Put;
import org.apache.hadoop.hbase.io.ImmutableBytesWritable; import org.apache.hadoop.io.Writable;
import org.apache.hadoop.mapreduce.JobContext;
import org.apache.hadoop.mapreduce.OutputCommitter;
import org.apache.hadoop.mapreduce.OutputFormat;
import org.apache.hadoop.mapreduce.RecordWriter; import org.apache.hadoop.mapreduce.RecordWriter;
import org.apache.hadoop.mapreduce.TaskAttemptContext; import org.apache.hadoop.mapreduce.TaskAttemptContext;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
/** /**
* Convert Map/Reduce output and write it to an HBase table. * Convert Map/Reduce output and write it to an HBase table. The KEY is ignored
* while the output value <u>must</u> be either a {@link Put} or a
* {@link Delete} instance.
*
* @param <KEY> The type of the key. Ignored in this class.
*/ */
public class TableOutputFormat extends public class TableOutputFormat<KEY> extends OutputFormat<KEY, Writable> {
FileOutputFormat<ImmutableBytesWritable, Put> {
private final Log LOG = LogFactory.getLog(TableOutputFormat.class); private final Log LOG = LogFactory.getLog(TableOutputFormat.class);
/** Job parameter that specifies the output table. */ /** Job parameter that specifies the output table. */
public static final String OUTPUT_TABLE = "hbase.mapred.outputtable"; public static final String OUTPUT_TABLE = "hbase.mapred.outputtable";
/** /**
* Convert Reduce output (key, value) to (HStoreKey, KeyedDataArrayWritable) * Writes the reducer output to an HBase table.
* and write to an HBase table *
* @param <KEY> The type of the key.
*/ */
protected static class TableRecordWriter protected static class TableRecordWriter<KEY>
extends RecordWriter<ImmutableBytesWritable, Put> { extends RecordWriter<KEY, Writable> {
/** The table to write to. */ /** The table to write to. */
private HTable table; private HTable table;
@ -82,9 +89,11 @@ public class TableOutputFormat extends
* @see org.apache.hadoop.mapreduce.RecordWriter#write(java.lang.Object, java.lang.Object) * @see org.apache.hadoop.mapreduce.RecordWriter#write(java.lang.Object, java.lang.Object)
*/ */
@Override @Override
public void write(ImmutableBytesWritable key, Put value) public void write(KEY key, Writable value)
throws IOException { throws IOException {
table.put(new Put(value)); if (value instanceof Put) this.table.put(new Put((Put)value));
else if (value instanceof Delete) this.table.delete(new Delete((Delete)value));
else throw new IOException("Pass a Delete or a Put");
} }
} }
@ -97,7 +106,7 @@ public class TableOutputFormat extends
* @throws InterruptedException When the jobs is cancelled. * @throws InterruptedException When the jobs is cancelled.
* @see org.apache.hadoop.mapreduce.lib.output.FileOutputFormat#getRecordWriter(org.apache.hadoop.mapreduce.TaskAttemptContext) * @see org.apache.hadoop.mapreduce.lib.output.FileOutputFormat#getRecordWriter(org.apache.hadoop.mapreduce.TaskAttemptContext)
*/ */
public RecordWriter<ImmutableBytesWritable, Put> getRecordWriter( public RecordWriter<KEY, Writable> getRecordWriter(
TaskAttemptContext context) TaskAttemptContext context)
throws IOException, InterruptedException { throws IOException, InterruptedException {
// expecting exactly one path // expecting exactly one path
@ -111,7 +120,37 @@ public class TableOutputFormat extends
throw e; throw e;
} }
table.setAutoFlush(false); table.setAutoFlush(false);
return new TableRecordWriter(table); return new TableRecordWriter<KEY>(table);
}
/**
* Checks if the output target exists.
*
* @param context The current context.
* @throws IOException When the check fails.
* @throws InterruptedException When the job is aborted.
* @see org.apache.hadoop.mapreduce.OutputFormat#checkOutputSpecs(org.apache.hadoop.mapreduce.JobContext)
*/
@Override
public void checkOutputSpecs(JobContext context) throws IOException,
InterruptedException {
// TODO Check if the table exists?
}
/**
* Returns the output committer.
*
* @param context The current context.
* @return The committer.
* @throws IOException When creating the committer fails.
* @throws InterruptedException When the job is aborted.
* @see org.apache.hadoop.mapreduce.OutputFormat#getOutputCommitter(org.apache.hadoop.mapreduce.TaskAttemptContext)
*/
@Override
public OutputCommitter getOutputCommitter(TaskAttemptContext context)
throws IOException, InterruptedException {
return new TableOutputCommitter();
} }
} }

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@ -19,19 +19,26 @@
*/ */
package org.apache.hadoop.hbase.mapreduce; package org.apache.hadoop.hbase.mapreduce;
import org.apache.hadoop.hbase.client.Put; import org.apache.hadoop.io.Writable;
import org.apache.hadoop.hbase.io.ImmutableBytesWritable;
import org.apache.hadoop.mapreduce.Reducer; import org.apache.hadoop.mapreduce.Reducer;
/** /**
* Extends the basic <code>Reducer</code> class to add the required key and * Extends the basic <code>Reducer</code> class to add the required key and
* value output classes. * value input/output classes. While the input key and value as well as the
* output key can be anything handed in from the previous map phase the output
* value <u>must</u> be either a {@link org.apache.hadoop.hbase.client.Put Put}
* or a {@link org.apache.hadoop.hbase.client.Delete Delete} instance when
* using the {@link TableOutputFormat} class.
* <p>
* This class is extended by {@link IdentityTableReducer} but can also be
* subclassed to implement similar features or any custom code needed. It has
* the advantage to enforce the output value to a specific basic type.
* *
* @param <KEYIN> The type of the key. * @param <KEYIN> The type of the input key.
* @param <VALUEIN> The type of the value. * @param <VALUEIN> The type of the input value.
* @param <KEYOUT> The type of the output key.
* @see org.apache.hadoop.mapreduce.Reducer * @see org.apache.hadoop.mapreduce.Reducer
*/ */
public abstract class TableReducer<KEYIN, VALUEIN> public abstract class TableReducer<KEYIN, VALUEIN, KEYOUT>
extends Reducer<KEYIN, VALUEIN, ImmutableBytesWritable, Put> { extends Reducer<KEYIN, VALUEIN, KEYOUT, Writable> {
} }