[Hadoop] - 自定义Mapreduce InputFormatOutputFormat
生活随笔
收集整理的這篇文章主要介紹了
[Hadoop] - 自定义Mapreduce InputFormatOutputFormat
小編覺得挺不錯的,現在分享給大家,幫大家做個參考.
在MR程序的開發過程中，經常會遇到輸入數據不是HDFS或者數據輸出目的地不是HDFS的，MapReduce的設計已經考慮到這種情況，它為我們提供了兩個組建，只需要我們自定義適合的InputFormat和OutputFormat，就可以完成這個需求，這里簡單的介紹一個從MongoDB中讀數據，并寫出數據到MongoDB中的一種情況，只是一個Demo，所以數據隨便找的一個。
一、自定義InputFormat
MapReduce中Map階段的數據輸入是由InputFormat決定的，我們查看org.apache.hadoop.mapreduce.InputFormat的源碼可以看到以下代碼內容，我們可以看到除了實現InputFormat抽象類以外，我們還需要自定義InputSplit和自定義RecordReader類，這兩個類的主要作用分別是：split確定數據分片的大小以及數據的位置信息，recordReader具體的讀取數據。
public abstract class InputFormat<K, V> {public abstract List<InputSplit> getSplits(JobContext context) throws IOException, InterruptedException; // 獲取Map階段的數據分片集合信息 public abstract RecordReader<K,V> createRecordReader(InputSplit split, TaskAttemptContext context） throws IOException, InterruptedException; // 創建具體的數據讀取對象 }1、自定義InputSplit
自定義InputSplit主要需要實現的方法有一下幾個：
public abstract class InputSplit { public abstract long getLength() throws IOException, InterruptedException; // 獲取當前分片的長度大小 public abstract String[] getLocations() throws IOException, InterruptedException; // 獲取當前分片的位置信息 }2、自定義RecordReader
自定義RecordReader的主要實現方法有一下幾個：
public abstract class RecordReader<KEYIN, VALUEIN> implements Closeable { public abstract void initialize(InputSplit split, TaskAttemptContext context) throws IOException, InterruptedException; // 初始化，如果在構造函數中初始化了，那么該方法可以為空public abstract boolean nextKeyValue() throws IOException, InterruptedException; //是否存在下一個key/value，如果存在返回true。否則返回false。public abstract KEYIN getCurrentKey() throws IOException, InterruptedException; // 獲取當然keypublic abstract VALUEIN getCurrentValue() throws IOException, InterruptedException; // 獲取當然valuepublic abstract float getProgress() throws IOException, InterruptedException; // 獲取進度信息public abstract void close() throws IOException; // 關閉資源 }二、自定義OutputFormat
MapReduce中Reducer階段的數據輸出是由OutputFormat決定的，決定數據的輸出目的地和job的提交對象，我們查看org.apache.hadoop.mapreduce.OutputFormat的源碼可以看到以下代碼內容，我們可以看到除了實現OutputFormat抽象類以外，我們還需要自定義RecordWriter和自定義OutputCommitter類，其中OutputCommitter類由于不涉及到具體的輸出目的地，所以一般情況下，不用重寫，可直接使用FileOutputcommitter對象；RecordWriter類是具體的定義如何將數據寫到目的地的。
public abstract class OutputFormat<K, V> { public abstract RecordWriter<K, V> getRecordWriter(TaskAttemptContext context) throws IOException, InterruptedException; // 獲取具體的數據寫出對象public abstract void checkOutputSpecs(JobContext context) throws IOException, InterruptedException; // 檢查輸出配置信息是否正確public abstract OutputCommitter getOutputCommitter(TaskAttemptContext context) throws IOException, InterruptedException; // 獲取輸出job的提交者對象 }1、自定義RecordWriter
查看RecordWriter源碼，我們可以看到主要需要實現的有下列三個方法，分別是：
public abstract class RecordWriter<K, V> { public abstract void write(K key, V value) throws IOException, InterruptedException; // 具體的寫數據的方法public abstract void close(TaskAttemptContext context) throws IOException, InterruptedException; // 關閉資源 }三、詳細代碼
自定義InputFormat&InputSplit
1 package com.gerry.mongo.hadoop2x.mr.mongodb.lib; 2 3 import java.io.DataInput; 4 import java.io.DataOutput; 5 import java.io.IOException; 6 import java.util.ArrayList; 7 import java.util.List; 8 import java.util.Map; 9 10 import org.apache.hadoop.conf.Configurable; 11 import org.apache.hadoop.conf.Configuration; 12 import org.apache.hadoop.io.LongWritable; 13 import org.apache.hadoop.io.Writable; 14 import org.apache.hadoop.mapreduce.InputFormat; 15 import org.apache.hadoop.mapreduce.InputSplit; 16 import org.apache.hadoop.mapreduce.JobContext; 17 import org.apache.hadoop.mapreduce.MRJobConfig; 18 import org.apache.hadoop.mapreduce.RecordReader; 19 import org.apache.hadoop.mapreduce.TaskAttemptContext; 20 import org.apache.log4j.Logger; 21 22 import com.mongodb.BasicDBObject; 23 import com.mongodb.BasicDBObjectBuilder; 24 import com.mongodb.DB; 25 import com.mongodb.DBCollection; 26 import com.mongodb.DBObject; 27 import com.mongodb.Mongo; 28 import com.mongodb.MongoException; 29 30 public class MongoDBInputFormat<T extends MongoDBWritable> extends InputFormat<LongWritable, T> implements Configurable { 31 private static final Logger LOG = Logger.getLogger(MongoDBInputFormat.class); 32 33 /** 34 * 空的對象，主要作用是不進行任何操作，類似于NullWritable 35 */ 36 public static class NullMongoDBWritable implements MongoDBWritable, Writable { 37 @Override 38 public void write(DBCollection collection) throws MongoException { 39 // TODO Auto-generated method stub 40 } 41 42 @Override 43 public void readFields(DBObject object) throws MongoException { 44 // TODO Auto-generated method stub 45 } 46 47 @Override 48 public void write(DataOutput out) throws IOException { 49 // TODO Auto-generated method stub 50 } 51 52 @Override 53 public void readFields(DataInput in) throws IOException { 54 // TODO Auto-generated method stub 55 } 56 57 @Override 58 public DBObject fetchWriteDBObject(DBObject old) throws MongoException { 59 // TODO Auto-generated method stub 60 return old; 61 } 62 63 } 64 65 /** 66 * MongoDB的input split類 67 */ 68 public static class MongoDBInputSplit extends InputSplit implements Writable { 69 private long end = 0; 70 private long start = 0; 71 72 /** 73 * 默認構造方法 74 */ 75 public MongoDBInputSplit() { 76 } 77 78 /** 79 * 便利的構造方法 80 * 81 * @param start 82 * 集合中查詢的文檔開始行號 83 * @param end 84 * 集合中查詢的文檔結束行號 85 */ 86 public MongoDBInputSplit(long start, long end) { 87 this.start = start; 88 this.end = end; 89 } 90 91 public long getEnd() { 92 return end; 93 } 94 95 public long getStart() { 96 return start; 97 } 98 99 @Override 100 public void write(DataOutput out) throws IOException { 101 out.writeLong(this.start); 102 out.writeLong(this.end); 103 } 104 105 @Override 106 public void readFields(DataInput in) throws IOException { 107 this.start = in.readLong(); 108 this.end = in.readLong(); 109 } 110 111 @Override 112 public long getLength() throws IOException, InterruptedException { 113 // 分片大小 114 return this.end - this.start; 115 } 116 117 @Override 118 public String[] getLocations() throws IOException, InterruptedException { 119 // TODO 返回一個空的數組，表示不進行數據本地化的優化，那么map執行節點隨機選擇。 120 return new String[] {}; 121 } 122 123 } 124 125 protected MongoDBConfiguration mongoConfiguration; // mongo相關配置信息 126 protected Mongo mongo; // mongo連接 127 protected String databaseName; // 連接的數據庫名稱 128 protected String collectionName; // 連接的集合名稱 129 protected DBObject conditionQuery; // 選擇條件 130 protected DBObject fieldQuery; // 需要的字段條件 131 132 @Override 133 public List<InputSplit> getSplits(JobContext job) throws IOException, InterruptedException { 134 DBCollection dbCollection = null; 135 try { 136 dbCollection = this.getDBCollection(); 137 // 獲取數量大小 138 long count = dbCollection.count(this.getConditionQuery()); 139 int chunks = job.getConfiguration().getInt(MRJobConfig.NUM_MAPS, 1); 140 long chunkSize = (count / chunks); // 分片數量 141 142 // 開始分片，只是簡單的分配每個分片的數據量 143 List<InputSplit> splits = new ArrayList<InputSplit>(); 144 for (int i = 0; i < chunks; i++) { 145 MongoDBInputSplit split = null; 146 if ((i + 1) == chunks) { 147 split = new MongoDBInputSplit(i * chunkSize, count); 148 } else { 149 split = new MongoDBInputSplit(i * chunkSize, (i * chunkSize) + chunkSize); 150 } 151 splits.add(split); 152 } 153 return splits; 154 } catch (Exception e) { 155 throw new IOException(e); 156 } finally { 157 dbCollection = null; 158 closeConnection(); // 關閉資源的連接 159 } 160 } 161 162 @Override 163 public RecordReader<LongWritable, T> createRecordReader(InputSplit split, TaskAttemptContext context) throws IOException, InterruptedException { 164 return createRecordReader((MongoDBInputSplit) split, context.getConfiguration()); 165 } 166 167 protected RecordReader<LongWritable, T> createRecordReader(MongoDBInputSplit split, Configuration conf) { 168 // 獲取從mongodb中讀取數據需要轉換成的value class，默認為NullMongoDBWritable 169 Class<? extends MongoDBWritable> valueClass = this.mongoConfiguration.getValueClass(); 170 return new MongoDBRecordReader<T>(split, valueClass, conf, getDBCollection(), getConditionQuery(), getFieldQuery()); 171 } 172 173 @Override 174 public void setConf(Configuration conf) { 175 mongoConfiguration = new MongoDBConfiguration(conf); 176 databaseName = this.mongoConfiguration.getInputDatabaseName(); // 輸入數據的數據庫 177 collectionName = this.mongoConfiguration.getInputCollectionName(); // 輸入數據的集合 178 getMongo(); // 初始化 179 getConditionQuery(); // 初始化 180 getFieldQuery(); // 初始化 181 } 182 183 @Override 184 public Configuration getConf() { 185 return this.mongoConfiguration.getConfiguration(); 186 } 187 188 public Mongo getMongo() { 189 try { 190 if (null == this.mongo) { 191 this.mongo = this.mongoConfiguration.getMongoConnection(); 192 } 193 } catch (Exception e) { 194 throw new RuntimeException(e); 195 } 196 return mongo; 197 } 198 199 public DBObject getConditionQuery() { 200 if (null == this.conditionQuery) { 201 Map<String, String> conditions = this.mongoConfiguration.getInputConditions(); 202 BasicDBObjectBuilder builder = new BasicDBObjectBuilder(); 203 for (Map.Entry<String, String> entry : conditions.entrySet()) { 204 if (entry.getValue() != null) { 205 builder.append(entry.getKey(), entry.getValue()); 206 } else { 207 builder.push(entry.getKey()); 208 } 209 } 210 if (builder.isEmpty()) { 211 this.conditionQuery = new BasicDBObject(); 212 } else { 213 this.conditionQuery = builder.get(); 214 } 215 } 216 return this.conditionQuery; 217 } 218 219 public DBObject getFieldQuery() { 220 if (fieldQuery == null) { 221 String[] fields = this.mongoConfiguration.getInputFieldNames(); 222 if (fields != null && fields.length > 0) { 223 BasicDBObjectBuilder builder = new BasicDBObjectBuilder(); 224 for (String field : fields) { 225 builder.push(field); 226 } 227 fieldQuery = builder.get(); 228 } else { 229 fieldQuery = new BasicDBObject(); 230 } 231 } 232 return fieldQuery; 233 } 234 235 protected DBCollection getDBCollection() { 236 DB db = getMongo().getDB(this.databaseName); 237 if (this.mongoConfiguration.isEnableAuth()) { 238 String username = this.mongoConfiguration.getUsername(); 239 String password = this.mongoConfiguration.getPassword(); 240 if (!db.authenticate(username, password.toCharArray())) { 241 throw new RuntimeException("authenticate failure with the username:" + username + ",pwd:" + password); 242 } 243 } 244 return db.getCollection(collectionName); 245 } 246 247 protected void closeConnection() { 248 try { 249 if (null != this.mongo) { 250 this.mongo.close(); 251 this.mongo = null; 252 } 253 } catch (Exception e) { 254 LOG.debug("Exception on close", e); 255 } 256 } 257 } MongoDBInputFormat.java自定義RecordReader
package com.gerry.mongo.hadoop2x.mr.mongodb.lib;import java.io.IOException;import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.io.LongWritable; import org.apache.hadoop.mapreduce.InputSplit; import org.apache.hadoop.mapreduce.RecordReader; import org.apache.hadoop.mapreduce.TaskAttemptContext; import org.apache.hadoop.util.ReflectionUtils;import com.mongodb.DBCollection; import com.mongodb.DBCursor; import com.mongodb.DBObject;public class MongoDBRecordReader<T extends MongoDBWritable> extends RecordReader<LongWritable, T> {private Class<? extends MongoDBWritable> valueClass;private LongWritable key;private T value;private long pos;private Configuration conf;private MongoDBInputFormat.MongoDBInputSplit split;private DBCollection collection;private DBObject conditionQuery;private DBObject fieldQuery;private DBCursor cursor;public MongoDBRecordReader(MongoDBInputFormat.MongoDBInputSplit split, Class<? extends MongoDBWritable> valueClass, Configuration conf, DBCollection collection, DBObject conditionQuery,DBObject fieldQuery) {this.split = split;this.valueClass = valueClass;this.collection = collection;this.conditionQuery = conditionQuery;this.fieldQuery = fieldQuery;this.conf = conf;}@Overridepublic void initialize(InputSplit split, TaskAttemptContext context) throws IOException, InterruptedException {// do nothing }@SuppressWarnings("unchecked")@Overridepublic boolean nextKeyValue() throws IOException, InterruptedException {try {if (key == null) {key = new LongWritable();}if (value == null) {value = (T) ReflectionUtils.newInstance(valueClass, conf);}if (null == cursor) {cursor = executeQuery();}if (!cursor.hasNext()) {return false;}key.set(pos + split.getStart()); // 設置keyvalue.readFields(cursor.next()); // 設置valuepos++;} catch (Exception e) {throw new IOException("Exception in nextKeyValue", e);}return true;}protected DBCursor executeQuery() {try {return collection.find(conditionQuery, fieldQuery).skip((int) split.getStart()).limit((int) split.getLength());} catch (IOException | InterruptedException e) {throw new RuntimeException(e);}}@Overridepublic LongWritable getCurrentKey() throws IOException, InterruptedException {return this.key;}@Overridepublic T getCurrentValue() throws IOException, InterruptedException {return this.value;}@Overridepublic float getProgress() throws IOException, InterruptedException {return pos;}@Overridepublic void close() throws IOException {if (collection != null) {collection.getDB().getMongo().close();}}} MongoDBRecordReader.java自定義OutputFormat&RecordWriter
package com.gerry.mongo.hadoop2x.mr.mongodb.lib;import java.io.IOException;import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.mapreduce.Job; 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.TaskAttemptContext; import org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter; import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat; import org.apache.log4j.Logger;import com.mongodb.DB; import com.mongodb.DBCollection; import com.mongodb.DBObject; import com.mongodb.Mongo;public class MongoDBOutputFormat<K extends MongoDBWritable, V extends MongoDBWritable> extends OutputFormat<K, V> {private static Logger LOG = Logger.getLogger(MongoDBOutputFormat.class);/*** A RecordWriter that writes the reduce output to a MongoDB collection* * @param <K>* @param <T>*/public static class MongoDBRecordWriter<K extends MongoDBWritable, V extends MongoDBWritable> extends RecordWriter<K, V> {private Mongo mongo;private String databaseName;private String collectionName;private MongoDBConfiguration dbConf;private DBCollection dbCollection;private DBObject dbObject;private boolean enableFetchMethod;public MongoDBRecordWriter(MongoDBConfiguration dbConf, Mongo mongo, String databaseName, String collectionName) {this.mongo = mongo;this.databaseName = databaseName;this.collectionName = collectionName;this.dbConf = dbConf;this.enableFetchMethod = this.dbConf.isEnableUseFetchMethod();getDbCollection();// 創建連接 }protected DBCollection getDbCollection() {if (null == this.dbCollection) {DB db = this.mongo.getDB(this.databaseName);if (this.dbConf.isEnableAuth()) {String username = this.dbConf.getUsername();String password = this.dbConf.getPassword();if (!db.authenticate(username, password.toCharArray())) {throw new RuntimeException("authenticate failure, the username:" + username + ", pwd:" + password);}}this.dbCollection = db.getCollection(this.collectionName);}return this.dbCollection;}@Overridepublic void write(K key, V value) throws IOException, InterruptedException {if (this.enableFetchMethod) {this.dbObject = key.fetchWriteDBObject(null);this.dbObject = value.fetchWriteDBObject(this.dbObject);// 寫數據this.dbCollection.insert(this.dbObject);// 在這里可以做一個緩存，一起提交，如果數據量大的情況下。this.dbObject = null;} else {// 直接調用寫方法 key.write(dbCollection);value.write(dbCollection);}}@Overridepublic void close(TaskAttemptContext context) throws IOException, InterruptedException {if (this.mongo != null) {this.dbCollection = null;this.mongo.close();}}}@Overridepublic RecordWriter<K, V> getRecordWriter(TaskAttemptContext context) throws IOException, InterruptedException {try {MongoDBConfiguration dbConf = new MongoDBConfiguration(context.getConfiguration());String databaseName = dbConf.getOutputDatabaseName();String collectionName = dbConf.getOutputCollectionName();Mongo mongo = dbConf.getMongoConnection();return new MongoDBRecordWriter<K, V>(dbConf, mongo, databaseName, collectionName);} catch (Exception e) {LOG.error("Create the record writer occur exception.", e);throw new IOException(e);}}@Overridepublic void checkOutputSpecs(JobContext context) throws IOException, InterruptedException {// 不進行檢測 }@Overridepublic OutputCommitter getOutputCommitter(TaskAttemptContext context) throws IOException, InterruptedException {// 由于outputcommitter主要作用是提交jar，分配jar的功能。所以我們這里直接使用FileOutputCommitterreturn new FileOutputCommitter(FileOutputFormat.getOutputPath(context), context);}/*** 設置output屬性* * @param job* @param databaseName* @param collectionName*/public static void setOutput(Job job, String databaseName, String collectionName) {job.setOutputFormatClass(MongoDBOutputFormat.class);job.setReduceSpeculativeExecution(false);MongoDBConfiguration mdc = new MongoDBConfiguration(job.getConfiguration());mdc.setOutputCollectionName(collectionName);mdc.setOutputDatabaseName(databaseName);}/*** 靜止使用fetch方法* * @param conf*/public static void disableFetchMethod(Configuration conf) {conf.setBoolean(MongoDBConfiguration.OUTPUT_USE_FETCH_METHOD_PROPERTY, false);} } MongoDBOutputFormat.java其他涉及到的java代碼
package com.gerry.mongo.hadoop2x.mr.mongodb.lib;import java.net.UnknownHostException; import java.util.HashMap; import java.util.Map;import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.mapreduce.lib.db.DBWritable;import com.gerry.mongo.hadoop2x.mr.mongodb.lib.MongoDBInputFormat.NullMongoDBWritable; import com.mongodb.Mongo; import com.mongodb.ServerAddress;public class MongoDBConfiguration {public static final String BIND_HOST_PROPERTY = "mapreduce.mongo.host";public static final String BIND_PORT_PROPERTY = "mapreduce.mongo.port";public static final String AUTH_ENABLE_PROPERTY = "mapreduce.mongo.auth.enable";public static final String USERNAME_PROPERTY = "mapreduce.mongo.username";public static final String PASSWORD_PROPERTY = "mapreduce.mongo.password";public static final String PARTITION_PROPERTY = "mapreduce.mongo.partition";public static final String INPUT_DATABASE_NAME_PROPERTY = "mapreduce.mongo.input.database.name";public static final String INPUT_COLLECTION_NAME_PROPERTY = "mapreduce.mongo.input.collection.name";public static final String INPUT_FIELD_NAMES_PROPERTY = "mapreduce.mongo.input.field.names";public static final String INPUT_CONDITIONS_PROPERTY = "mapreduce.mongo.input.conditions";public static final String INPUT_CLASS_PROPERTY = "mapreduce.mongo.input.class";public static final String OUTPUT_DATABASE_NAME_PROPERTY = "mapreduce.mongo.output.database.name";public static final String OUTPUT_COLLECTION_NAME_PROPERTY = "mapreduce.mongo.output.collection.name";// 在recordwriter中到底是否調用fetch方法，默認調用。如果設置為不調用，那么就直接使用writer方法public static final String OUTPUT_USE_FETCH_METHOD_PROPERTY = "mapreduce.mongo.output.use.fetch.method";private Configuration conf;public MongoDBConfiguration(Configuration conf) {this.conf = conf;}/*** 獲取Configuration對象* * @return*/public Configuration getConfiguration() {return this.conf;}/*** 設置連接信息* * @param host* @param port* @return*/public MongoDBConfiguration configureDB(String host, int port) {return this.configureDB(host, port, false, null, null);}/*** 設置連接信息* * @param host* @param port* @param enableAuth* @param username* @param password* @return*/public MongoDBConfiguration configureDB(String host, int port, boolean enableAuth, String username, String password) {this.conf.set(BIND_HOST_PROPERTY, host);this.conf.setInt(BIND_PORT_PROPERTY, port);if (enableAuth) {this.conf.setBoolean(AUTH_ENABLE_PROPERTY, true);this.conf.set(USERNAME_PROPERTY, username);this.conf.set(PASSWORD_PROPERTY, password);}return this;}/*** 獲取MongoDB的連接對象Connection對象* * @return* @throws UnknownHostException*/public Mongo getMongoConnection() throws UnknownHostException {return new Mongo(new ServerAddress(this.getBindHost(), this.getBindPort()));}/*** 獲取設置的host* * @return*/public String getBindHost() {return this.conf.get(BIND_HOST_PROPERTY, "localhost");}/*** 獲取設置的port* * @return*/public int getBindPort() {return this.conf.getInt(BIND_PORT_PROPERTY, 27017);}/*** 獲取是否開啟安全驗證，默認的Mongodb是不開啟的。* * @return*/public boolean isEnableAuth() {return this.conf.getBoolean(AUTH_ENABLE_PROPERTY, false);}/*** 獲取完全驗證所需要的用戶名* * @return*/public String getUsername() {return this.conf.get(USERNAME_PROPERTY);}/*** 獲取安全驗證所需要的密碼* * @return*/public String getPassword() {return this.conf.get(PASSWORD_PROPERTY);}public String getPartition() {return conf.get(PARTITION_PROPERTY, "|");}public MongoDBConfiguration setPartition(String partition) {conf.set(PARTITION_PROPERTY, partition);return this;}public String getInputDatabaseName() {return conf.get(INPUT_DATABASE_NAME_PROPERTY, "test");}public MongoDBConfiguration setInputDatabaseName(String databaseName) {conf.set(INPUT_DATABASE_NAME_PROPERTY, databaseName);return this;}public String getInputCollectionName() {return conf.get(MongoDBConfiguration.INPUT_COLLECTION_NAME_PROPERTY, "test");}public void setInputCollectionName(String tableName) {conf.set(MongoDBConfiguration.INPUT_COLLECTION_NAME_PROPERTY, tableName);}public String[] getInputFieldNames() {return conf.getStrings(MongoDBConfiguration.INPUT_FIELD_NAMES_PROPERTY);}public void setInputFieldNames(String... fieldNames) {conf.setStrings(MongoDBConfiguration.INPUT_FIELD_NAMES_PROPERTY, fieldNames);}public Map<String, String> getInputConditions() {Map<String, String> result = new HashMap<String, String>();String[] conditions = conf.getStrings(INPUT_CONDITIONS_PROPERTY);if (conditions != null && conditions.length > 0) {String partition = this.getPartition();String[] values = null;for (String condition : conditions) {values = condition.split(partition);if (values != null && values.length == 2) {result.put(values[0], values[1]);} else {result.put(condition, null);}}}return result;}public void setInputConditions(Map<String, String> conditions) {if (conditions != null && conditions.size() > 0) {String[] values = new String[conditions.size()];String partition = this.getPartition();int k = 0;for (Map.Entry<String, String> entry : conditions.entrySet()) {if (entry.getValue() != null) {values[k++] = entry.getKey() + partition + entry.getValue();} else {values[k++] = entry.getKey();}}conf.setStrings(INPUT_CONDITIONS_PROPERTY, values);}}public Class<? extends MongoDBWritable> getValueClass() {return conf.getClass(INPUT_CLASS_PROPERTY, NullMongoDBWritable.class, MongoDBWritable.class);}public void setInputClass(Class<? extends DBWritable> inputClass) {conf.setClass(MongoDBConfiguration.INPUT_CLASS_PROPERTY, inputClass, DBWritable.class);}public String getOutputDatabaseName() {return conf.get(OUTPUT_DATABASE_NAME_PROPERTY, "test");}public MongoDBConfiguration setOutputDatabaseName(String databaseName) {conf.set(OUTPUT_DATABASE_NAME_PROPERTY, databaseName);return this;}public String getOutputCollectionName() {return conf.get(MongoDBConfiguration.OUTPUT_COLLECTION_NAME_PROPERTY, "test");}public void setOutputCollectionName(String tableName) {conf.set(MongoDBConfiguration.OUTPUT_COLLECTION_NAME_PROPERTY, tableName);}public boolean isEnableUseFetchMethod() {return conf.getBoolean(OUTPUT_USE_FETCH_METHOD_PROPERTY, true);}public void setOutputUseFetchMethod(boolean useFetchMethod) {conf.setBoolean(OUTPUT_USE_FETCH_METHOD_PROPERTY, useFetchMethod);} } MongoDBConfiguration.java package com.gerry.mongo.hadoop2x.mr.mongodb.lib;import com.mongodb.DBCollection; import com.mongodb.DBObject; import com.mongodb.MongoException;public interface MongoDBWritable {/*** 往mongodb的集合中寫數據* * @param collection* @throws MongoException*/public void write(DBCollection collection) throws MongoException;/*** 獲取要寫的mongoDB對象* * @param old* @return* @throws MongoException*/public DBObject fetchWriteDBObject(DBObject old) throws MongoException;/*** 從mongodb的集合中讀數據* * @param collection* @throws MongoException*/public void readFields(DBObject object) throws MongoException; } MongoDBWritable.java package com.gerry.mongo.hadoop2x.mr.mongodb.nw;import java.io.DataInput; import java.io.DataOutput; import java.io.IOException; import java.util.Date; import java.util.HashSet; import java.util.Set;import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.io.LongWritable; import org.apache.hadoop.io.NullWritable; import org.apache.hadoop.io.Writable; import org.apache.hadoop.io.WritableComparable; import org.apache.hadoop.mapreduce.Job; import org.apache.hadoop.mapreduce.Mapper; import org.apache.hadoop.mapreduce.Reducer;import com.gerry.mongo.hadoop2x.mr.mongodb.lib.MongoDBConfiguration; import com.gerry.mongo.hadoop2x.mr.mongodb.lib.MongoDBInputFormat; import com.gerry.mongo.hadoop2x.mr.mongodb.lib.MongoDBOutputFormat; import com.gerry.mongo.hadoop2x.mr.mongodb.lib.MongoDBWritable; import com.mongodb.BasicDBObject; import com.mongodb.BasicDBObjectBuilder; import com.mongodb.DBCollection; import com.mongodb.DBObject; import com.mongodb.MongoException;public class Demo {public static void main(String[] args) throws IOException, ClassNotFoundException, InterruptedException {Configuration conf = new Configuration();// 設置輸入的mongodb的數據庫和集合，以及對應的輸入對象value，這里的數據庫和集合要求存在，否則是沒有數據的，當然沒有數據不會出問題conf.set(MongoDBConfiguration.INPUT_COLLECTION_NAME_PROPERTY, "users");conf.set(MongoDBConfiguration.INPUT_DATABASE_NAME_PROPERTY, "db_java");conf.setClass(MongoDBConfiguration.INPUT_CLASS_PROPERTY, DemoInputValueAndOutputKey.class, MongoDBWritable.class);Job job = Job.getInstance(conf, "mongodb-demo");job.setJarByClass(Demo.class);job.setMapperClass(DemoMapper.class);job.setReducerClass(DemoReducer.class);job.setOutputKeyClass(DemoInputValueAndOutputKey.class);job.setOutputValueClass(DemoOutputValue.class);job.setMapOutputKeyClass(DemoInputValueAndOutputKey.class);job.setMapOutputValueClass(NullWritable.class);job.setInputFormatClass(MongoDBInputFormat.class);MongoDBOutputFormat.setOutput(job, "foobar2", "users"); // 這個可以不存在 job.waitForCompletion(true);}public static class DemoOutputValue implements Writable, MongoDBWritable {private Date clientTime;private long count;@Overridepublic void write(DBCollection collection) throws MongoException {throw new UnsupportedOperationException();}@Overridepublic DBObject fetchWriteDBObject(DBObject old) throws MongoException {BasicDBObjectBuilder builder = null;Set<String> keys = new HashSet<String>();if (old != null) {keys = old.keySet();builder = BasicDBObjectBuilder.start(old.toMap());} else {builder = new BasicDBObjectBuilder();}// 添加當前對象的value值，如果存在同樣的key，那么加序號builder.append(getKey(keys, "time", 0), clientTime).append(getKey(keys, "count", 0), this.count);return builder.get();}@Overridepublic void readFields(DBObject object) throws MongoException {throw new UnsupportedOperationException();}@Overridepublic void write(DataOutput out) throws IOException {out.writeLong(this.clientTime.getTime());out.writeLong(this.count);}@Overridepublic void readFields(DataInput in) throws IOException {this.clientTime = new Date(in.readLong());this.count = in.readLong();}public Date getClientTime() {return clientTime;}public void setClientTime(Date clientTime) {this.clientTime = clientTime;}public long getCount() {return count;}public void setCount(long count) {this.count = count;}}public static class DemoInputValueAndOutputKey implements MongoDBWritable, WritableComparable<DemoInputValueAndOutputKey> {private String name;private Integer age;private String sex;@Overridepublic void write(DataOutput out) throws IOException {if (this.name == null) {out.writeBoolean(false);} else {out.writeBoolean(true);out.writeUTF(this.name);}if (this.age == null) {out.writeBoolean(false);} else {out.writeBoolean(true);out.writeInt(this.age);}if (this.sex == null) {out.writeBoolean(false);} else {out.writeBoolean(true);out.writeUTF(this.sex);}}@Overridepublic void readFields(DataInput in) throws IOException {this.name = in.readBoolean() ? in.readUTF() : null;this.age = in.readBoolean() ? Integer.valueOf(in.readInt()) : null;this.sex = in.readBoolean() ? in.readUTF() : null;}@Overridepublic void write(DBCollection collection) throws MongoException {DBObject object = new BasicDBObject();object.put("name", this.name);object.put("age", this.age.intValue());object.put("sex", this.sex);collection.insert(object);}@Overridepublic void readFields(DBObject object) throws MongoException {this.name = (String) object.get("name");this.age = (Integer) object.get("age");this.sex = (String) object.get("sex");}@Overridepublic DBObject fetchWriteDBObject(DBObject old) throws MongoException {BasicDBObjectBuilder builder = null;Set<String> keys = new HashSet<String>();if (old != null) {keys = old.keySet();builder = BasicDBObjectBuilder.start(old.toMap());} else {builder = new BasicDBObjectBuilder();}// 添加當前對象的value值，如果存在同樣的key，那么加序號if (this.name != null) {builder.append(getKey(keys, "name", 0), this.name);}if (this.age != null) {builder.append(getKey(keys, "age", 0), this.age.intValue());}if (this.sex != null) {builder.append(getKey(keys, "sex", 0), this.sex);}return builder.get();}@Overridepublic String toString() {return "DemoInputValue [name=" + name + ", age=" + age + ", sex=" + sex + "]";}@Overridepublic int compareTo(DemoInputValueAndOutputKey o) {int tmp;if (this.name == null) {if (o.name != null) {return -1;}} else if (o.name == null) {return 1;} else {tmp = this.name.compareTo(o.name);if (tmp != 0) {return tmp;}}if (this.age == null) {if (o.age != null) {return -1;}} else if (o.age == null) {return 1;} else {tmp = this.age - o.age;if (tmp != 0) {return tmp;}}if (this.sex == null) {if (o.sex != null) {return -1;}} else if (o.sex == null) {return 1;} else {return this.sex.compareTo(o.sex);}return 0;}}/*** 直接輸出* * @author jsliuming* */public static class DemoMapper extends Mapper<LongWritable, DemoInputValueAndOutputKey, DemoInputValueAndOutputKey, NullWritable> {@Overrideprotected void map(LongWritable key, DemoInputValueAndOutputKey value, Context context) throws IOException, InterruptedException {context.write(value, NullWritable.get());}}/*** 寫出數據，只做一個統計操作* * @author jsliuming* */public static class DemoReducer extends Reducer<DemoInputValueAndOutputKey, NullWritable, DemoInputValueAndOutputKey, DemoOutputValue> {private DemoOutputValue outputValue = new DemoOutputValue();@Overrideprotected void reduce(DemoInputValueAndOutputKey key, Iterable<NullWritable> values, Context context) throws IOException, InterruptedException {long sum = 0;for (@SuppressWarnings("unused")NullWritable value : values) {sum++;}outputValue.setClientTime(new Date());outputValue.setCount(sum);context.write(key, outputValue);}}/*** 轉換key，作用是當key存在keys集合中的時候，在key后面添加序號* * @param keys* @param key* @param index* @return*/public static String getKey(Set<String> keys, String key, int index) {while (keys.contains(key)) {key = key + (index++);}return key;} } Demo四、結果截圖
?
轉載于:https://www.cnblogs.com/liuming1992/p/4758504.html
總結
以上是生活随笔為你收集整理的[Hadoop] - 自定义Mapreduce InputFormatOutputFormat的全部內容，希望文章能夠幫你解決所遇到的問題。
- 上一篇： 图片盗链的攻与防
- 下一篇： C#如何设置控件水平对齐，垂直对齐