/**
*
* 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.hadoop.hbase.mapreduce;
import com.google.common.annotations.VisibleForTesting;
import java.io.IOException;
import java.io.UnsupportedEncodingException;
import java.net.URLDecoder;
import java.net.URLEncoder;
import java.util.ArrayList;
import java.util.Collection;
import java.util.List;
import java.util.Map;
import java.util.TreeMap;
import java.util.TreeSet;
import java.util.UUID;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.hadoop.classification.InterfaceAudience;
import org.apache.hadoop.classification.InterfaceStability;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hbase.HColumnDescriptor;
import org.apache.hadoop.hbase.HConstants;
import org.apache.hadoop.hbase.HTableDescriptor;
import org.apache.hadoop.hbase.KeyValue;
import org.apache.hadoop.hbase.client.HTable;
import org.apache.hadoop.hbase.client.Put;
import org.apache.hadoop.hbase.io.ImmutableBytesWritable;
import org.apache.hadoop.hbase.io.compress.Compression;
import org.apache.hadoop.hbase.io.compress.Compression.Algorithm;
import org.apache.hadoop.hbase.io.encoding.DataBlockEncoding;
import org.apache.hadoop.hbase.io.hfile.AbstractHFileWriter;
import org.apache.hadoop.hbase.io.hfile.CacheConfig;
import org.apache.hadoop.hbase.io.hfile.HFileContext;
import org.apache.hadoop.hbase.io.hfile.HFileContextBuilder;
import org.apache.hadoop.hbase.regionserver.BloomType;
import org.apache.hadoop.hbase.regionserver.HStore;
import org.apache.hadoop.hbase.regionserver.StoreFile;
import org.apache.hadoop.hbase.util.Bytes;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.io.SequenceFile;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.RecordWriter;
import org.apache.hadoop.mapreduce.TaskAttemptContext;
import org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import org.apache.hadoop.mapreduce.lib.partition.TotalOrderPartitioner;
/**
* Writes HFiles. Passed KeyValues must arrive in order.
* Writes current time as the sequence id for the file. Sets the major compacted
* attribute on created hfiles. Calling write(null,null) will forcibly roll
* all HFiles being written.
* <p>
* Using this class as part of a MapReduce job is best done
* using {@link #configureIncrementalLoad(Job, HTable)}.
* @see KeyValueSortReducer
*/
@InterfaceAudience.Public
@InterfaceStability.Stable
public class HFileOutputFormat extends FileOutputFormat<ImmutableBytesWritable, KeyValue> {
static Log LOG = LogFactory.getLog(HFileOutputFormat.class);
// The following constants are private since these are used by
// HFileOutputFormat to internally transfer data between job setup and
// reducer run using conf.
// These should not be changed by the client.
private static final String COMPRESSION_FAMILIES_CONF_KEY =
"hbase.hfileoutputformat.families.compression";
private static final String BLOOM_TYPE_FAMILIES_CONF_KEY =
"hbase.hfileoutputformat.families.bloomtype";
private static final String BLOCK_SIZE_FAMILIES_CONF_KEY =
"hbase.mapreduce.hfileoutputformat.blocksize";
private static final String DATABLOCK_ENCODING_FAMILIES_CONF_KEY =
"hbase.mapreduce.hfileoutputformat.families.datablock.encoding";
// This constant is public since the client can modify this when setting
// up their conf object and thus refer to this symbol.
// It is present for backwards compatibility reasons. Use it only to
// override the auto-detection of datablock encoding.
public static final String DATABLOCK_ENCODING_OVERRIDE_CONF_KEY =
"hbase.mapreduce.hfileoutputformat.datablock.encoding";
public RecordWriter<ImmutableBytesWritable, KeyValue> getRecordWriter(final TaskAttemptContext context)
throws IOException, InterruptedException {
// Get the path of the temporary output file
final Path outputPath = FileOutputFormat.getOutputPath(context);
final Path outputdir = new FileOutputCommitter(outputPath, context).getWorkPath();
final Configuration conf = context.getConfiguration();
final FileSystem fs = outputdir.getFileSystem(conf);
// These configs. are from hbase-*.xml
final long maxsize = conf.getLong(HConstants.HREGION_MAX_FILESIZE,
HConstants.DEFAULT_MAX_FILE_SIZE);
// Invented config. Add to hbase-*.xml if other than default compression.
final String defaultCompressionStr = conf.get("hfile.compression",
Compression.Algorithm.NONE.getName());
final Algorithm defaultCompression = AbstractHFileWriter
.compressionByName(defaultCompressionStr);
final boolean compactionExclude = conf.getBoolean(
"hbase.mapreduce.hfileoutputformat.compaction.exclude", false);
// create a map from column family to the compression algorithm
final Map<byte[], Algorithm> compressionMap = createFamilyCompressionMap(conf);
final Map<byte[], BloomType> bloomTypeMap = createFamilyBloomTypeMap(conf);
final Map<byte[], Integer> blockSizeMap = createFamilyBlockSizeMap(conf);
String dataBlockEncodingStr = conf.get(DATABLOCK_ENCODING_OVERRIDE_CONF_KEY);
final Map<byte[], DataBlockEncoding> datablockEncodingMap
= createFamilyDataBlockEncodingMap(conf);
final DataBlockEncoding overriddenEncoding;
if (dataBlockEncodingStr != null) {
overriddenEncoding = DataBlockEncoding.valueOf(dataBlockEncodingStr);
} else {
overriddenEncoding = null;
}
return new RecordWriter<ImmutableBytesWritable, KeyValue>() {
// Map of families to writers and how much has been output on the writer.
private final Map<byte [], WriterLength> writers =
new TreeMap<byte [], WriterLength>(Bytes.BYTES_COMPARATOR);
private byte [] previousRow = HConstants.EMPTY_BYTE_ARRAY;
private final byte [] now = Bytes.toBytes(System.currentTimeMillis());
private boolean rollRequested = false;
public void write(ImmutableBytesWritable row, KeyValue kv)
throws IOException {
// null input == user explicitly wants to flush
if (row == null && kv == null) {
rollWriters();
return;
}
byte [] rowKey = kv.getRow();
long length = kv.getLength();
byte [] family = kv.getFamily();
WriterLength wl = this.writers.get(family);
// If this is a new column family, verify that the directory exists
if (wl == null) {
fs.mkdirs(new Path(outputdir, Bytes.toString(family)));
}
// If any of the HFiles for the column families has reached
// maxsize, we need to roll all the writers
if (wl != null && wl.written + length >= maxsize) {
this.rollRequested = true;
}
// This can only happen once a row is finished though
if (rollRequested && Bytes.compareTo(this.previousRow, rowKey) != 0) {
rollWriters();
}
// create a new HLog writer, if necessary
if (wl == null || wl.writer == null) {
wl = getNewWriter(family, conf);
}
// we now have the proper HLog writer. full steam ahead
kv.updateLatestStamp(this.now);
wl.writer.append(kv);
wl.written += length;
// Copy the row so we know when a row transition.
this.previousRow = rowKey;
}
private void rollWriters() throws IOException {
for (WriterLength wl : this.writers.values()) {
if (wl.writer != null) {
LOG.info("Writer=" + wl.writer.getPath() +
((wl.written == 0)? "": ", wrote=" + wl.written));
close(wl.writer);
}
wl.writer = null;
wl.written = 0;
}
this.rollRequested = false;
}
/* Create a new StoreFile.Writer.
* @param family
* @return A WriterLength, containing a new StoreFile.Writer.
* @throws IOException
*/
private WriterLength getNewWriter(byte[] family, Configuration conf)
throws IOException {
WriterLength wl = new WriterLength();
Path familydir = new Path(outputdir, Bytes.toString(family));
Algorithm compression = compressionMap.get(family);
compression = compression == null ? defaultCompression : compression;
BloomType bloomType = bloomTypeMap.get(family);
bloomType = bloomType == null ? BloomType.NONE : bloomType;
Integer blockSize = blockSizeMap.get(family);
blockSize = blockSize == null ? HConstants.DEFAULT_BLOCKSIZE : blockSize;
DataBlockEncoding encoding = overriddenEncoding;
encoding = encoding == null ? datablockEncodingMap.get(family) : encoding;
encoding = encoding == null ? DataBlockEncoding.NONE : encoding;
Configuration tempConf = new Configuration(conf);
tempConf.setFloat(HConstants.HFILE_BLOCK_CACHE_SIZE_KEY, 0.0f);
HFileContextBuilder contextBuilder = new HFileContextBuilder()
.withCompression(compression)
.withChecksumType(HStore.getChecksumType(conf))
.withBytesPerCheckSum(HStore.getBytesPerChecksum(conf))
.withBlockSize(blockSize);
contextBuilder.withDataBlockEncoding(encoding);
HFileContext hFileContext = contextBuilder.build();
wl.writer = new StoreFile.WriterBuilder(conf, new CacheConfig(tempConf), fs)
.withOutputDir(familydir).withBloomType(bloomType).withComparator(KeyValue.COMPARATOR)
.withFileContext(hFileContext)
.build();
this.writers.put(family, wl);
return wl;
}
private void close(final StoreFile.Writer w) throws IOException {
if (w != null) {
w.appendFileInfo(StoreFile.BULKLOAD_TIME_KEY,
Bytes.toBytes(System.currentTimeMillis()));
w.appendFileInfo(StoreFile.BULKLOAD_TASK_KEY,
Bytes.toBytes(context.getTaskAttemptID().toString()));
w.appendFileInfo(StoreFile.MAJOR_COMPACTION_KEY,
Bytes.toBytes(true));
w.appendFileInfo(StoreFile.EXCLUDE_FROM_MINOR_COMPACTION_KEY,
Bytes.toBytes(compactionExclude));
w.appendTrackedTimestampsToMetadata();
w.close();
}
}
public void close(TaskAttemptContext c)
throws IOException, InterruptedException {
for (WriterLength wl: this.writers.values()) {
close(wl.writer);
}
}
};
}
/*
* Data structure to hold a Writer and amount of data written on it.
*/
static class WriterLength {
long written = 0;
StoreFile.Writer writer = null;
}
/**
* Return the start keys of all of the regions in this table,
* as a list of ImmutableBytesWritable.
*/
private static List<ImmutableBytesWritable> getRegionStartKeys(HTable table)
throws IOException {
byte[][] byteKeys = table.getStartKeys();
ArrayList<ImmutableBytesWritable> ret =
new ArrayList<ImmutableBytesWritable>(byteKeys.length);
for (byte[] byteKey : byteKeys) {
ret.add(new ImmutableBytesWritable(byteKey));
}
return ret;
}
/**
* Write out a {@link SequenceFile} that can be read by
* {@link TotalOrderPartitioner} that contains the split points in startKeys.
*/
private static void writePartitions(Configuration conf, Path partitionsPath,
List<ImmutableBytesWritable> startKeys) throws IOException {
LOG.info("Writing partition information to " + partitionsPath);
if (startKeys.isEmpty()) {
throw new IllegalArgumentException("No regions passed");
}
// We're generating a list of split points, and we don't ever
// have keys < the first region (which has an empty start key)
// so we need to remove it. Otherwise we would end up with an
// empty reducer with index 0
TreeSet<ImmutableBytesWritable> sorted =
new TreeSet<ImmutableBytesWritable>(startKeys);
ImmutableBytesWritable first = sorted.first();
if (!first.equals(HConstants.EMPTY_BYTE_ARRAY)) {
throw new IllegalArgumentException(
"First region of table should have empty start key. Instead has: "
+ Bytes.toStringBinary(first.get()));
}
sorted.remove(first);
// Write the actual file
FileSystem fs = partitionsPath.getFileSystem(conf);
SequenceFile.Writer writer = SequenceFile.createWriter(fs,
conf, partitionsPath, ImmutableBytesWritable.class, NullWritable.class);
try {
for (ImmutableBytesWritable startKey : sorted) {
writer.append(startKey, NullWritable.get());
}
} finally {
writer.close();
}
}
/**
* Configure a MapReduce Job to perform an incremental load into the given
* table. This
* <ul>
* <li>Inspects the table to configure a total order partitioner</li>
* <li>Uploads the partitions file to the cluster and adds it to the DistributedCache</li>
* <li>Sets the number of reduce tasks to match the current number of regions</li>
* <li>Sets the output key/value class to match HFileOutputFormat's requirements</li>
* <li>Sets the reducer up to perform the appropriate sorting (either KeyValueSortReducer or
* PutSortReducer)</li>
* </ul>
* The user should be sure to set the map output value class to either KeyValue or Put before
* running this function.
*/
public static void configureIncrementalLoad(Job job, HTable table)
throws IOException {
Configuration conf = job.getConfiguration();
job.setOutputKeyClass(ImmutableBytesWritable.class);
job.setOutputValueClass(KeyValue.class);
job.setOutputFormatClass(HFileOutputFormat.class);
// Based on the configured map output class, set the correct reducer to properly
// sort the incoming values.
// TODO it would be nice to pick one or the other of these formats.
if (KeyValue.class.equals(job.getMapOutputValueClass())) {
job.setReducerClass(KeyValueSortReducer.class);
} else if (Put.class.equals(job.getMapOutputValueClass())) {
job.setReducerClass(PutSortReducer.class);
} else if (Text.class.equals(job.getMapOutputValueClass())) {
job.setReducerClass(TextSortReducer.class);
} else {
LOG.warn("Unknown map output value type:" + job.getMapOutputValueClass());
}
conf.setStrings("io.serializations", conf.get("io.serializations"),
MutationSerialization.class.getName(), ResultSerialization.class.getName(),
KeyValueSerialization.class.getName());
// Use table's region boundaries for TOP split points.
LOG.info("Looking up current regions for table " + Bytes.toString(table.getTableName()));
List<ImmutableBytesWritable> startKeys = getRegionStartKeys(table);
LOG.info("Configuring " + startKeys.size() + " reduce partitions " +
"to match current region count");
job.setNumReduceTasks(startKeys.size());
configurePartitioner(job, startKeys);
// Set compression algorithms based on column families
configureCompression(table, conf);
configureBloomType(table, conf);
configureBlockSize(table, conf);
configureDataBlockEncoding(table, conf);
TableMapReduceUtil.addDependencyJars(job);
TableMapReduceUtil.initCredentials(job);
LOG.info("Incremental table " + Bytes.toString(table.getTableName()) + " output configured.");
}
/**
* Runs inside the task to deserialize column family to compression algorithm
* map from the configuration.
*
* @param conf to read the serialized values from
* @return a map from column family to the configured compression algorithm
*/
@VisibleForTesting
static Map<byte[], Algorithm> createFamilyCompressionMap(Configuration
conf) {
Map<byte[], String> stringMap = createFamilyConfValueMap(conf,
COMPRESSION_FAMILIES_CONF_KEY);
Map<byte[], Algorithm> compressionMap = new TreeMap<byte[],
Algorithm>(Bytes.BYTES_COMPARATOR);
for (Map.Entry<byte[], String> e : stringMap.entrySet()) {
Algorithm algorithm = AbstractHFileWriter.compressionByName
(e.getValue());
compressionMap.put(e.getKey(), algorithm);
}
return compressionMap;
}
/**
* Runs inside the task to deserialize column family to bloom filter type
* map from the configuration.
*
* @param conf to read the serialized values from
* @return a map from column family to the the configured bloom filter type
*/
@VisibleForTesting
static Map<byte[], BloomType> createFamilyBloomTypeMap(Configuration conf) {
Map<byte[], String> stringMap = createFamilyConfValueMap(conf,
BLOOM_TYPE_FAMILIES_CONF_KEY);
Map<byte[], BloomType> bloomTypeMap = new TreeMap<byte[],
BloomType>(Bytes.BYTES_COMPARATOR);
for (Map.Entry<byte[], String> e : stringMap.entrySet()) {
BloomType bloomType = BloomType.valueOf(e.getValue());
bloomTypeMap.put(e.getKey(), bloomType);
}
return bloomTypeMap;
}
/**
* Runs inside the task to deserialize column family to block size
* map from the configuration.
*
* @param conf to read the serialized values from
* @return a map from column family to the configured block size
*/
@VisibleForTesting
static Map<byte[], Integer> createFamilyBlockSizeMap(Configuration conf) {
Map<byte[], String> stringMap = createFamilyConfValueMap(conf,
BLOCK_SIZE_FAMILIES_CONF_KEY);
Map<byte[], Integer> blockSizeMap = new TreeMap<byte[],
Integer>(Bytes.BYTES_COMPARATOR);
for (Map.Entry<byte[], String> e : stringMap.entrySet()) {
Integer blockSize = Integer.parseInt(e.getValue());
blockSizeMap.put(e.getKey(), blockSize);
}
return blockSizeMap;
}
/**
* Runs inside the task to deserialize column family to data block encoding
* type map from the configuration.
*
* @param conf to read the serialized values from
* @return a map from column family to HFileDataBlockEncoder for the
* configured data block type for the family
*/
@VisibleForTesting
static Map<byte[], DataBlockEncoding> createFamilyDataBlockEncodingMap(
Configuration conf) {
Map<byte[], String> stringMap = createFamilyConfValueMap(conf,
DATABLOCK_ENCODING_FAMILIES_CONF_KEY);
Map<byte[], DataBlockEncoding> encoderMap = new TreeMap<byte[],
DataBlockEncoding>(Bytes.BYTES_COMPARATOR);
for (Map.Entry<byte[], String> e : stringMap.entrySet()) {
encoderMap.put(e.getKey(), DataBlockEncoding.valueOf((e.getValue())));
}
return encoderMap;
}
/**
* Run inside the task to deserialize column family to given conf value map.
*
* @param conf to read the serialized values from
* @param confName conf key to read from the configuration
* @return a map of column family to the given configuration value
*/
private static Map<byte[], String> createFamilyConfValueMap(Configuration conf, String confName) {
Map<byte[], String> confValMap = new TreeMap<byte[], String>(Bytes.BYTES_COMPARATOR);
String confVal = conf.get(confName, "");
for (String familyConf : confVal.split("&")) {
String[] familySplit = familyConf.split("=");
if (familySplit.length != 2) {
continue;
}
try {
confValMap.put(URLDecoder.decode(familySplit[0], "UTF-8").getBytes(),
URLDecoder.decode(familySplit[1], "UTF-8"));
} catch (UnsupportedEncodingException e) {
// will not happen with UTF-8 encoding
throw new AssertionError(e);
}
}
return confValMap;
}
/**
* Configure <code>job</code> with a TotalOrderPartitioner, partitioning against
* <code>splitPoints</code>. Cleans up the partitions file after job exists.
*/
static void configurePartitioner(Job job, List<ImmutableBytesWritable> splitPoints)
throws IOException {
// create the partitions file
FileSystem fs = FileSystem.get(job.getConfiguration());
Path partitionsPath = new Path("/tmp", "partitions_" + UUID.randomUUID());
fs.makeQualified(partitionsPath);
fs.deleteOnExit(partitionsPath);
writePartitions(job.getConfiguration(), partitionsPath, splitPoints);
// configure job to use it
job.setPartitionerClass(TotalOrderPartitioner.class);
TotalOrderPartitioner.setPartitionFile(job.getConfiguration(), partitionsPath);
}
/**
* Serialize column family to compression algorithm map to configuration.
* Invoked while configuring the MR job for incremental load.
*
* @param table to read the properties from
* @param conf to persist serialized values into
* @throws IOException
* on failure to read column family descriptors
*/
@edu.umd.cs.findbugs.annotations.SuppressWarnings(
value="RCN_REDUNDANT_NULLCHECK_OF_NONNULL_VALUE")
@VisibleForTesting
static void configureCompression(HTable table, Configuration conf) throws IOException {
StringBuilder compressionConfigValue = new StringBuilder();
HTableDescriptor tableDescriptor = table.getTableDescriptor();
if(tableDescriptor == null){
// could happen with mock table instance
return;
}
Collection<HColumnDescriptor> families = tableDescriptor.getFamilies();
int i = 0;
for (HColumnDescriptor familyDescriptor : families) {
if (i++ > 0) {
compressionConfigValue.append('&');
}
compressionConfigValue.append(URLEncoder.encode(familyDescriptor.getNameAsString(), "UTF-8"));
compressionConfigValue.append('=');
compressionConfigValue.append(URLEncoder.encode(familyDescriptor.getCompression().getName(), "UTF-8"));
}
// Get rid of the last ampersand
conf.set(COMPRESSION_FAMILIES_CONF_KEY, compressionConfigValue.toString());
}
/**
* Serialize column family to block size map to configuration.
* Invoked while configuring the MR job for incremental load.
*
* @param table to read the properties from
* @param conf to persist serialized values into
* @throws IOException
* on failure to read column family descriptors
*/
@VisibleForTesting
static void configureBlockSize(HTable table, Configuration conf) throws IOException {
StringBuilder blockSizeConfigValue = new StringBuilder();
HTableDescriptor tableDescriptor = table.getTableDescriptor();
if (tableDescriptor == null) {
// could happen with mock table instance
return;
}
Collection<HColumnDescriptor> families = tableDescriptor.getFamilies();
int i = 0;
for (HColumnDescriptor familyDescriptor : families) {
if (i++ > 0) {
blockSizeConfigValue.append('&');
}
blockSizeConfigValue.append(URLEncoder.encode(
familyDescriptor.getNameAsString(), "UTF-8"));
blockSizeConfigValue.append('=');
blockSizeConfigValue.append(URLEncoder.encode(
String.valueOf(familyDescriptor.getBlocksize()), "UTF-8"));
}
// Get rid of the last ampersand
conf.set(BLOCK_SIZE_FAMILIES_CONF_KEY, blockSizeConfigValue.toString());
}
/**
* Serialize column family to bloom type map to configuration.
* Invoked while configuring the MR job for incremental load.
*
* @param table to read the properties from
* @param conf to persist serialized values into
* @throws IOException
* on failure to read column family descriptors
*/
@VisibleForTesting
static void configureBloomType(HTable table, Configuration conf) throws IOException {
HTableDescriptor tableDescriptor = table.getTableDescriptor();
if (tableDescriptor == null) {
// could happen with mock table instance
return;
}
StringBuilder bloomTypeConfigValue = new StringBuilder();
Collection<HColumnDescriptor> families = tableDescriptor.getFamilies();
int i = 0;
for (HColumnDescriptor familyDescriptor : families) {
if (i++ > 0) {
bloomTypeConfigValue.append('&');
}
bloomTypeConfigValue.append(URLEncoder.encode(familyDescriptor.getNameAsString(), "UTF-8"));
bloomTypeConfigValue.append('=');
String bloomType = familyDescriptor.getBloomFilterType().toString();
if (bloomType == null) {
bloomType = HColumnDescriptor.DEFAULT_BLOOMFILTER;
}
bloomTypeConfigValue.append(URLEncoder.encode(bloomType, "UTF-8"));
}
conf.set(BLOOM_TYPE_FAMILIES_CONF_KEY, bloomTypeConfigValue.toString());
}
/**
* Serialize column family to data block encoding map to configuration.
* Invoked while configuring the MR job for incremental load.
*
* @param table to read the properties from
* @param conf to persist serialized values into
* @throws IOException
* on failure to read column family descriptors
*/
@VisibleForTesting
static void configureDataBlockEncoding(HTable table,
Configuration conf) throws IOException {
HTableDescriptor tableDescriptor = table.getTableDescriptor();
if (tableDescriptor == null) {
// could happen with mock table instance
return;
}
StringBuilder dataBlockEncodingConfigValue = new StringBuilder();
Collection<HColumnDescriptor> families = tableDescriptor.getFamilies();
int i = 0;
for (HColumnDescriptor familyDescriptor : families) {
if (i++ > 0) {
dataBlockEncodingConfigValue.append('&');
}
dataBlockEncodingConfigValue.append(
URLEncoder.encode(familyDescriptor.getNameAsString(), "UTF-8"));
dataBlockEncodingConfigValue.append('=');
DataBlockEncoding encoding = familyDescriptor.getDataBlockEncoding();
if (encoding == null) {
encoding = DataBlockEncoding.NONE;
}
dataBlockEncodingConfigValue.append(URLEncoder.encode(encoding.toString(),
"UTF-8"));
}
conf.set(DATABLOCK_ENCODING_FAMILIES_CONF_KEY,
dataBlockEncodingConfigValue.toString());
}
}