hbase 学习（十二）非mapreduce生成Hfile，然后导入hbase当中
最近一个群友的boss让研究hbase，让hbase的入库速度达到5w+/s，这可愁死了，4台个人电脑组成的集群，多线程入库调了好久，速度也才1w左右，都没有达到理想的那种速度，然后就想到了这种方式，但是网上多是用mapreduce来实现入库，而现在的需求是实时入库，不生成文件了，所以就只能自己用代码实现了，但是网上查了很多资料都没有查到，最后在一个网友的指引下，看了源码，最后找到了生成Hfile的方式，实现了之后，发现单线程入库速度才达到1w4左右，和之前的多线程的全速差不多了，百思不得其解之时，调整了一下代码把列的Byte.toBytes(cols)这个方法调整出来只做一次，速度立马就到3w了，提升非常明显，这是我的电脑上的速度，估计在它的集群上能更快一点吧，下面把代码和大家分享一下。 String tableName = "taglog"; byte[] family = Bytes.toBytes("logs"); //配置文件设置 Configuration conf = HBaseConfiguration.create(); conf.set("hbase.master", "192.168.1.133:60000"); conf.set("hbase.zookeeper.quorum", "192.168.1.135"); //conf.set("zookeeper.znode.parent", "/hbase"); conf.set("hbase.metrics.showTableName", "false"); //conf.set("io.compression.codecs", "org.apache.hadoop.io.compress.SnappyCodec"); String outputdir = "hdfs://hadoop.Master:8020/user/SEA/hfiles/"; Path dir = new Path(outputdir); Path familydir = new Path(outputdir, Bytes.toString(family)); FileSystem fs = familydir.getFileSystem(conf); BloomType bloomType = BloomType.NONE; final HFileDataBlockEncoder encoder = NoOpDataBlockEncoder.INSTANCE; int blockSize = 64000; Configuration tempConf = new Configuration(conf); tempConf.set("hbase.metrics.showTableName", "false"); tempConf.setFloat(HConstants.HFILE_BLOCK_CACHE_SIZE_KEY, 1.0f); //实例化HFile的Writer，StoreFile实际上只是HFile的轻量级的封装 StoreFile.Writer writer = new StoreFile.WriterBuilder(conf, new CacheConfig(tempConf), fs, blockSize) .withOutputDir(familydir) .withCompression(Compression.Algorithm.NONE) .withBloomType(bloomType).withComparator(KeyValue.COMPARATOR) .withDataBlockEncoder(encoder).build(); long start = System.currentTimeMillis(); DecimalFormat df = new DecimalFormat("0000000"); KeyValue kv1 = null; KeyValue kv2 = null; KeyValue kv3 = null; KeyValue kv4 = null; KeyValue kv5 = null; KeyValue kv6 = null; KeyValue kv7 = null; KeyValue kv8 = null; //这个是耗时操作，只进行一次 byte[] cn = Bytes.toBytes("cn"); byte[] dt = Bytes.toBytes("dt"); byte[] ic = Bytes.toBytes("ic"); byte[] ifs = Bytes.toBytes("if"); byte[] ip = Bytes.toBytes("ip"); byte[] le = Bytes.toBytes("le"); byte[] mn = Bytes.toBytes("mn"); byte[] pi = Bytes.toBytes("pi"); int maxLength = 3000000; for(int i=0;i<maxLength;i++){ String currentTime = ""+System.currentTimeMillis() + df.format(i); long current = System.currentTimeMillis(); //rowkey和列都要按照字典序的方式顺序写入，否则会报错的 kv1 = new KeyValue(Bytes.toBytes(currentTime), family, cn,current,KeyValue.Type.Put,Bytes.toBytes("3")); kv2 = new KeyValue(Bytes.toBytes(currentTime), family, dt,current,KeyValue.Type.Put,Bytes.toBytes("6")); kv3 = new KeyValue(Bytes.toBytes(currentTime), family, ic,current,KeyValue.Type.Put,Bytes.toBytes("8")); kv4 = new KeyValue(Bytes.toBytes(currentTime), family, ifs,current,KeyValue.Type.Put,Bytes.toBytes("7")); kv5 = new KeyValue(Bytes.toBytes(currentTime), family, ip,current,KeyValue.Type.Put,Bytes.toBytes("4")); kv6 = new KeyValue(Bytes.toBytes(currentTime), family, le,current,KeyValue.Type.Put,Bytes.toBytes("2")); kv7 = new KeyValue(Bytes.toBytes(currentTime), family, mn,current,KeyValue.Type.Put,Bytes.toBytes("5")); kv8 = new KeyValue(Bytes.toBytes(currentTime), family,pi,current,KeyValue.Type.Put,Bytes.toBytes("1")); writer.append(kv1); writer.append(kv2); writer.append(kv3); writer.append(kv4); writer.append(kv5); writer.append(kv6); writer.append(kv7); writer.append(kv8); } writer.close(); //把生成的HFile导入到hbase当中 HTable table = new HTable(conf,tableName); LoadIncrementalHFiles loader = new LoadIncrementalHFiles(conf); loader.doBulkLoad(dir, table); 最后再附上查看hfile的方式，查询正确的hfile和自己生成的hfile，方便查找问题。 hbase org.apache.hadoop.hbase.io.hfile.HFile -p -f hdfs://hadoop.Master:8020/user/SEA/hfiles/logs/51aa97b2a25446f89d5c870af92c9fc1
