org.apache.phoenix.mapreduce.MultiHfileOutputFormat Maven / Gradle / Ivy
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* 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.phoenix.mapreduce;
import java.io.IOException;
import java.io.UnsupportedEncodingException;
import java.net.URLDecoder;
import java.net.URLEncoder;
import java.util.Collection;
import java.util.List;
import java.util.Map;
import java.util.Set;
import java.util.TreeMap;
import java.util.TreeSet;
import java.util.UUID;
import org.apache.commons.lang.StringUtils;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hbase.Cell;
import org.apache.hadoop.hbase.CellUtil;
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.KeyValueUtil;
import org.apache.hadoop.hbase.client.HTable;
import org.apache.hadoop.hbase.client.RegionLocator;
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.mapreduce.KeyValueSerialization;
import org.apache.hadoop.hbase.mapreduce.MutationSerialization;
import org.apache.hadoop.hbase.mapreduce.ResultSerialization;
import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil;
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.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;
import org.apache.phoenix.mapreduce.bulkload.TableRowkeyPair;
import org.apache.phoenix.mapreduce.bulkload.TargetTableRef;
import org.apache.phoenix.mapreduce.bulkload.TargetTableRefFunctions;
import org.apache.phoenix.util.EnvironmentEdgeManager;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.google.common.annotations.VisibleForTesting;
import com.google.common.collect.Maps;
import com.google.common.collect.Sets;
/**
* The MultiHfileOutputFormat class simplifies writing HFiles for multiple tables.
* It has been adapted from {#link HFileOutputFormat2} but differs from the fact it creates
* HFiles for multiple tables.
*/
public class MultiHfileOutputFormat extends FileOutputFormat {
private static final Logger LOG = LoggerFactory.getLogger(MultiHfileOutputFormat.class);
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";
public static final String DATABLOCK_ENCODING_OVERRIDE_CONF_KEY =
"hbase.mapreduce.hfileoutputformat.datablock.encoding";
/* Delimiter property used to separate table name and column family */
private static final String AT_DELIMITER = "@";
@Override
public RecordWriter getRecordWriter(TaskAttemptContext context)
throws IOException, InterruptedException {
return createRecordWriter(context);
}
/**
*
* @param context
* @return
* @throws IOException
*/
static RecordWriter createRecordWriter(final TaskAttemptContext context)
throws IOException {
// 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);
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);
return new RecordWriter() {
// Map of families to writers and how much has been output on the writer.
private final Map writers =
new TreeMap(Bytes.BYTES_COMPARATOR);
private byte [] previousRow = HConstants.EMPTY_BYTE_ARRAY;
private final byte [] now = Bytes.toBytes(EnvironmentEdgeManager.currentTimeMillis());
private boolean rollRequested = false;
@Override
public void write(TableRowkeyPair row, V cell)
throws IOException {
KeyValue kv = KeyValueUtil.ensureKeyValue(cell);
// null input == user explicitly wants to flush
if (row == null && kv == null) {
rollWriters();
return;
}
// phoenix-2216: start : extract table name from the rowkey
String tableName = row.getTableName();
byte [] rowKey = row.getRowkey().get();
long length = kv.getLength();
byte [] family = CellUtil.cloneFamily(kv);
byte[] tableAndFamily = join(tableName, Bytes.toString(family));
WriterLength wl = this.writers.get(tableAndFamily);
// phoenix-2216: end
// If this is a new column family, verify that the directory exists
if (wl == null) {
// phoenix-2216: start : create a directory for table and family within the output dir
Path tableOutputPath = CsvBulkImportUtil.getOutputPath(outputdir, tableName);
fs.mkdirs(new Path(tableOutputPath, Bytes.toString(family)));
// phoenix-2216: end
}
// 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 WAL writer, if necessary
if (wl == null || wl.writer == null) {
// phoenix-2216: start : passed even the table name
wl = getNewWriter(tableName,family, conf);
// phoenix-2216: end
}
// we now have the proper WAL 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
*/
@edu.umd.cs.findbugs.annotations.SuppressWarnings(value="BX_UNBOXING_IMMEDIATELY_REBOXED",
justification="Not important")
private WriterLength getNewWriter(final String tableName , byte[] family, Configuration conf)
throws IOException {
WriterLength wl = new WriterLength();
Path tableOutputPath = CsvBulkImportUtil.getOutputPath(outputdir, tableName);
Path familydir = new Path(tableOutputPath, Bytes.toString(family));
// phoenix-2216: start : fetching the configuration properties that were set to the table.
// create a map from column family to the compression algorithm for the table.
final Map compressionMap = createFamilyCompressionMap(conf,tableName);
final Map bloomTypeMap = createFamilyBloomTypeMap(conf,tableName);
final Map blockSizeMap = createFamilyBlockSizeMap(conf,tableName);
// phoenix-2216: end
String dataBlockEncodingStr = conf.get(DATABLOCK_ENCODING_OVERRIDE_CONF_KEY);
final Map datablockEncodingMap = createFamilyDataBlockEncodingMap(conf,tableName);
final DataBlockEncoding overriddenEncoding;
if (dataBlockEncodingStr != null) {
overriddenEncoding = DataBlockEncoding.valueOf(dataBlockEncodingStr);
} else {
overriddenEncoding = null;
}
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();
// join and put it in the writers map .
// phoenix-2216: start : holds a map of writers where the
// key in the map is a join byte array of table name and family.
byte[] tableAndFamily = join(tableName, Bytes.toString(family));
this.writers.put(tableAndFamily, wl);
// phoenix-2216: end
return wl;
}
private void close(final StoreFile.Writer w) throws IOException {
if (w != null) {
w.appendFileInfo(StoreFile.BULKLOAD_TIME_KEY,
Bytes.toBytes(EnvironmentEdgeManager.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();
}
}
@Override
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;
}
/**
* joins the table name and the family with a delimiter.
* @param tableName
* @param family
* @return
*/
private static byte[] join(String tableName, String family) {
return Bytes.toBytes(tableName + AT_DELIMITER + family);
}
/**
* 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 createFamilyCompressionMap(Configuration conf,final String tableName) {
Map compressionMap = new TreeMap(Bytes.BYTES_COMPARATOR);
Map tableConfigs = getTableConfigurations(conf, tableName);
if(tableConfigs == null) {
return compressionMap;
}
Map stringMap = createFamilyConfValueMap(tableConfigs,COMPRESSION_FAMILIES_CONF_KEY);
for (Map.Entry e : stringMap.entrySet()) {
Algorithm algorithm = AbstractHFileWriter.compressionByName(e.getValue());
compressionMap.put(e.getKey(), algorithm);
}
return compressionMap;
}
/**
* Returns the set of configurations that have been configured for the table during job initialization.
* @param conf
* @param tableName
* @return
*/
private static Map getTableConfigurations(Configuration conf, final String tableName) {
String tableDefn = conf.get(tableName);
if(StringUtils.isEmpty(tableDefn)) {
return null;
}
TargetTableRef table = TargetTableRefFunctions.FROM_JSON.apply(tableDefn);
Map tableConfigs = table.getConfiguration();
return tableConfigs;
}
/**
* 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 createFamilyBloomTypeMap(Configuration conf,final String tableName) {
Map bloomTypeMap = new TreeMap(Bytes.BYTES_COMPARATOR);
Map tableConfigs = getTableConfigurations(conf, tableName);
if(tableConfigs == null) {
return bloomTypeMap;
}
Map stringMap = createFamilyConfValueMap(tableConfigs,BLOOM_TYPE_FAMILIES_CONF_KEY);
for (Map.Entry 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 createFamilyBlockSizeMap(Configuration conf,final String tableName) {
Map blockSizeMap = new TreeMap(Bytes.BYTES_COMPARATOR);
Map tableConfigs = getTableConfigurations(conf, tableName);
if(tableConfigs == null) {
return blockSizeMap;
}
Map stringMap = createFamilyConfValueMap(tableConfigs,BLOCK_SIZE_FAMILIES_CONF_KEY);
for (Map.Entry 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 createFamilyDataBlockEncodingMap(Configuration conf,final String tableName) {
Map encoderMap = new TreeMap(Bytes.BYTES_COMPARATOR);
Map tableConfigs = getTableConfigurations(conf, tableName);
if(tableConfigs == null) {
return encoderMap;
}
Map stringMap = createFamilyConfValueMap(tableConfigs,DATABLOCK_ENCODING_FAMILIES_CONF_KEY);
for (Map.Entry 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 createFamilyConfValueMap(Map configs, String confName) {
Map confValMap = new TreeMap(Bytes.BYTES_COMPARATOR);
String confVal = configs.get(confName);
if(StringUtils.isEmpty(confVal)) {
return confValMap;
}
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 job with a TotalOrderPartitioner, partitioning against
* splitPoints. Cleans up the partitions file after job exists.
*/
static void configurePartitioner(Job job, Set tablesStartKeys)
throws IOException {
Configuration conf = job.getConfiguration();
// create the partitions file
Path partitionsPath = new Path(conf.get("hadoop.tmp.dir"), "partitions_" + UUID.randomUUID());
FileSystem fs = partitionsPath.getFileSystem(conf);
fs.makeQualified(partitionsPath);
writePartitions(conf, partitionsPath, tablesStartKeys);
fs.deleteOnExit(partitionsPath);
// configure job to use it
job.setPartitionerClass(TotalOrderPartitioner.class);
TotalOrderPartitioner.setPartitionFile(conf, partitionsPath);
}
private static void writePartitions(Configuration conf, Path partitionsPath,
Set tablesStartKeys) throws IOException {
LOG.info("Writing partition information to " + partitionsPath);
if (tablesStartKeys.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 sorted = new TreeSet(tablesStartKeys);
TableRowkeyPair first = sorted.first();
if (!first.getRowkey().equals(HConstants.EMPTY_BYTE_ARRAY)) {
throw new IllegalArgumentException(
"First region of table should have empty start key. Instead has: "
+ Bytes.toStringBinary(first.getRowkey().get()));
}
sorted.remove(first);
// Write the actual file
FileSystem fs = partitionsPath.getFileSystem(conf);
SequenceFile.Writer writer = SequenceFile.createWriter(
fs, conf, partitionsPath, TableRowkeyPair.class,
NullWritable.class);
try {
for (TableRowkeyPair startKey : sorted) {
writer.append(startKey, NullWritable.get());
}
} finally {
writer.close();
}
}
/**
* 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 String configureCompression(HTableDescriptor tableDescriptor)
throws UnsupportedEncodingException {
StringBuilder compressionConfigValue = new StringBuilder();
if(tableDescriptor == null){
// could happen with mock table instance
return compressionConfigValue.toString();
}
Collection 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"));
}
return compressionConfigValue.toString();
}
/**
* Serialize column family to block size map to configuration.
* Invoked while configuring the MR job for incremental load.
* @param tableDescriptor to read the properties from
* @param conf to persist serialized values into
*
* @throws IOException
* on failure to read column family descriptors
*/
@VisibleForTesting
static String configureBlockSize(HTableDescriptor tableDescriptor)
throws UnsupportedEncodingException {
StringBuilder blockSizeConfigValue = new StringBuilder();
if (tableDescriptor == null) {
// could happen with mock table instance
return blockSizeConfigValue.toString();
}
Collection 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"));
}
return blockSizeConfigValue.toString();
}
/**
* Serialize column family to bloom type map to configuration.
* Invoked while configuring the MR job for incremental load.
* @param tableDescriptor to read the properties from
* @param conf to persist serialized values into
*
* @throws IOException
* on failure to read column family descriptors
*/
static String configureBloomType(HTableDescriptor tableDescriptor)
throws UnsupportedEncodingException {
StringBuilder bloomTypeConfigValue = new StringBuilder();
if (tableDescriptor == null) {
// could happen with mock table instance
return bloomTypeConfigValue.toString();
}
Collection 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"));
}
return 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
*/
static String configureDataBlockEncoding(HTableDescriptor tableDescriptor) throws UnsupportedEncodingException {
StringBuilder dataBlockEncodingConfigValue = new StringBuilder();
if (tableDescriptor == null) {
// could happen with mock table instance
return dataBlockEncodingConfigValue.toString();
}
Collection 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"));
}
return dataBlockEncodingConfigValue.toString();
}
/**
* Configures the job for MultiHfileOutputFormat.
* @param job
* @param tablesToBeLoaded
* @throws IOException
*/
public static void configureIncrementalLoad(Job job, List tablesToBeLoaded) throws IOException {
Configuration conf = job.getConfiguration();
job.setOutputFormatClass(MultiHfileOutputFormat.class);
conf.setStrings("io.serializations", conf.get("io.serializations"),
MutationSerialization.class.getName(), ResultSerialization.class.getName(),
KeyValueSerialization.class.getName());
// tableStartKeys for all tables.
Set tablesStartKeys = Sets.newTreeSet();
for(TargetTableRef table : tablesToBeLoaded) {
final String tableName = table.getPhysicalName();
try(HTable htable = new HTable(conf,tableName);){
Set startKeys = getRegionStartKeys(tableName , htable.getRegionLocator());
tablesStartKeys.addAll(startKeys);
String compressionConfig = configureCompression(htable.getTableDescriptor());
String bloomTypeConfig = configureBloomType(htable.getTableDescriptor());
String blockSizeConfig = configureBlockSize(htable.getTableDescriptor());
String blockEncodingConfig = configureDataBlockEncoding(htable.getTableDescriptor());
Map tableConfigs = Maps.newHashMap();
if(StringUtils.isNotBlank(compressionConfig)) {
tableConfigs.put(COMPRESSION_FAMILIES_CONF_KEY, compressionConfig);
}
if(StringUtils.isNotBlank(bloomTypeConfig)) {
tableConfigs.put(BLOOM_TYPE_FAMILIES_CONF_KEY,bloomTypeConfig);
}
if(StringUtils.isNotBlank(blockSizeConfig)) {
tableConfigs.put(BLOCK_SIZE_FAMILIES_CONF_KEY,blockSizeConfig);
}
if(StringUtils.isNotBlank(blockEncodingConfig)) {
tableConfigs.put(DATABLOCK_ENCODING_FAMILIES_CONF_KEY,blockEncodingConfig);
}
table.setConfiguration(tableConfigs);
final String tableDefns = TargetTableRefFunctions.TO_JSON.apply(table);
// set the table definition in the config to be used during the RecordWriter..
conf.set(tableName, tableDefns);
TargetTableRef tbl = TargetTableRefFunctions.FROM_JSON.apply(tableDefns);
LOG.info(" the table logical name is "+ tbl.getLogicalName());
}
}
LOG.info("Configuring " + tablesStartKeys.size() + " reduce partitions to match current region count");
job.setNumReduceTasks(tablesStartKeys.size());
configurePartitioner(job, tablesStartKeys);
TableMapReduceUtil.addDependencyJars(job);
TableMapReduceUtil.initCredentials(job);
}
/**
* Return the start keys of all of the regions in this table,
* as a list of ImmutableBytesWritable.
*/
private static Set getRegionStartKeys(String tableName , RegionLocator table) throws IOException {
byte[][] byteKeys = table.getStartKeys();
Set ret = new TreeSet();
for (byte[] byteKey : byteKeys) {
// phoenix-2216: start : passing the table name and startkey
ret.add(new TableRowkeyPair(tableName, new ImmutableBytesWritable(byteKey)));
}
return ret;
}
}
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