在使用Bulkload向HBase导入数据中, 自己编写Map与使用KeyValueSortReducer生成HFile时, 出现了以下的异常:

java.io.IOException: Non-increasing Bloom keys: 201301025200000000000003520000000000000500 after 201311195100000000000000010000000000001600

    at org.apache.hadoop.hbase.regionserver.StoreFile$Writer.appendGeneralBloomfilter(StoreFile.java:869)

    at org.apache.hadoop.hbase.regionserver.StoreFile$Writer.append(StoreFile.java:905)

    at org.apache.hadoop.hbase.mapreduce.HFileOutputFormat$1.write(HFileOutputFormat.java:180)

    at org.apache.hadoop.hbase.mapreduce.HFileOutputFormat$1.write(HFileOutputFormat.java:136)

    at org.apache.hadoop.mapred.ReduceTask$NewTrackingRecordWriter.write(ReduceTask.java:586)

    at org.apache.hadoop.mapreduce.TaskInputOutputContext.write(TaskInputOutputContext.java:80)

    at org.apache.hadoop.hbase.mapreduce.KeyValueSortReducer.reduce(KeyValueSortReducer.java:53)

    at org.apache.hadoop.hbase.mapreduce.KeyValueSortReducer.reduce(KeyValueSortReducer.java:36)

    at org.apache.hadoop.mapreduce.Reducer.run(Reducer.java:177)

    at org.apache.hadoop.mapred.ReduceTask.runNewReducer(ReduceTask.java:649)

    at org.apache.hadoop.mapred.ReduceTask.run(ReduceTask.java:418)

    at org.apache.hadoop.mapred.Child$4.run(Child.java:255)

    at java.security.AccessController.doPrivileged(Native Method)

    at javax.security.auth.Subject.doAs(Subject.java:396)

    at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1190)

    at org.apache.hadoop.mapred.Child.main(Child.java:249)

该异常在源代码的StoreFile类中, 即在使用StoreFile类生成HFile文件时抛出异常, 依据控制台异常信息能够知道异常出如今源代码StoreFile.java:905行处,此处是append方法,该方法调用appendGeneralBloomfilter方法,生成Bloom key, 源代码为:

public static class HFileGenerateMapper extends			Mapper
     
       {		private static int familyIndex = 0;		private static Configuration conf = null;		private static MyMD5 md5 = new MyMD5();		@Override		protected void setup(Context context) throws IOException,				InterruptedException {			conf = context.getConfiguration();			familyIndex = conf.getInt("familyIndex",0);		}		@Override		protected void map(LongWritable key, Text value, Context context)				throws IOException, InterruptedException {			ImmutableBytesWritable mykey = new ImmutableBytesWritable(					value.toString().split(",")[0].getBytes());			List
      
        list = null;			list = createKeyValue(value.toString());			Iterator
       
         it = list.iterator();			while (it.hasNext()) {				KeyValue kv = new KeyValue();				kv = it.next();				if (kv != null) {					  context.write(mykey, kv);				}			}		}		/**		 * a.CITY_NO,to_char(DT,'yyyy-MM-dd'),DATA_TYPE,E0,E1,E2,E3,E4,E5,		 * MEASUREPOINTID,TRANSFORMERID,ZONEID,CAPACITY		 * @param str		 * @return		 */		private List
        
          createKeyValue(String str) {			List
         
           list = new ArrayList
          
           (CONSTANT_HBASE.TB2_FNColNames[familyIndex].length); String[] values = str.toString().split(","); String[] qualifiersName = CONSTANT_HBASE.TB2_FNColNames[familyIndex]; for (int i = 0; i < qualifiersName.length; i++) { //须要作为rowKey的各个字段字符串组成RowKey String rowkey = values[1]+values[0]+values[11]+values[12]; //加上32位的MD5 rowkey += md5.getMD5Code(rowkey); String family = CONSTANT_HBASE.TB2_FamilyNames[familyIndex]; String qualifier = qualifiersName[i]; String value_str = values[i+CONSTANT_HBASE.TB2_FNColIndex[familyIndex]-1]; KeyValue kv = new KeyValue(Bytes.toBytes(rowkey), Bytes.toBytes(family), Bytes.toBytes(qualifier), CONSTANT_HBASE.timeStamp, Bytes.toBytes(value_str)); list.add(kv); } return list; } }
          
         
        
       
      
     

关键出错的那一句在

ImmutableBytesWritable rowkey = new ImmutableBytesWritable(value.toString().split(",")[0].getBytes());

由于终于导入RowKey的是由多个字段的字符串+32位的MD5值拼接而成的,可是生成ImmutableBytesWritable mykey却仅仅用到第一个字段的字符串,而这个key是用来全局排序用的,所以须要mykey与KeyValue kv 的rowkey相等, 于是更改方法便是将map方法代码改成例如以下:

@Override		protected void map(LongWritable key, Text value, Context context)				throws IOException, InterruptedException {			List
     
       list = null;			list = createKeyValue(value.toString());			Iterator
      
        it = list.iterator();			while (it.hasNext()) {				KeyValue kv = new KeyValue();				kv = it.next();				if (kv != null) {					  
       context.write(new ImmutableBytesWritable(kv.getKey()), kv);				}			}		}
      
     

执行之后成功了,能够通过http://localhost:50030/jobtracker.jsp查看任务执行状态.