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  • HBase表的memstore与集群memstore

    一直有一个问题,今天调查了一下源码算是明白了。

    ===问题===

    通过java api(如下代码所示)在创建表的时候,可以通过setMemStoreFlushSize函数来指定memstore的大小,

    在集群配置文件中,也可以通过配置hbase.hregion.memstore.flush.size来指定memstore大小。

    这两个地方指定的memestore的有什么区别和关联?

    ★参考代码

    package api;
    
    import org.apache.hadoop.conf.Configuration;
    import org.apache.hadoop.hbase.HBaseConfiguration;
    import org.apache.hadoop.hbase.HColumnDescriptor;
    import org.apache.hadoop.hbase.HTableDescriptor;
    import org.apache.hadoop.hbase.TableName;
    import org.apache.hadoop.hbase.client.Admin;
    import org.apache.hadoop.hbase.client.Connection;
    import org.apache.hadoop.hbase.client.ConnectionFactory;
    import org.apache.hadoop.hbase.io.compress.Compression;
    import org.apache.hadoop.hbase.regionserver.BloomType;
    
    public class create_table_sample1 {
        public static void main(String[] args) throws Exception {
            Configuration conf = HBaseConfiguration.create();
            conf.set("hbase.zookeeper.quorum", "192.168.1.80,192.168.1.81,192.168.1.82");
            Connection connection = ConnectionFactory.createConnection(conf);
            Admin admin = connection.getAdmin();
    
            HTableDescriptor desc = new HTableDescriptor(TableName.valueOf("t1"));
            desc.setMemStoreFlushSize(2097152L);          //2M(默认128M)
            desc.setMaxFileSize(10485760L);               //10M(默认10G)
    
            HColumnDescriptor family1 = new HColumnDescriptor(constants.COLUMN_FAMILY_DF.getBytes());
            family1.setTimeToLive(2 * 60 * 60 * 24);     //过期时间
            family1.setMaxVersions(2);                   //版本数
            desc.addFamily(family1);
            HColumnDescriptor family2 = new HColumnDescriptor(constants.COLUMN_FAMILY_EX.getBytes());
            family2.setTimeToLive(3 * 60 * 60 * 24);     //过期时间
            family2.setMinVersions(2);                   //最小版本数
            family2.setMaxVersions(3);                   //版本数
            family2.setBloomFilterType(BloomType.ROW);   //布隆过滤方式
            desc.addFamily(family2);
    
            admin.createTable(desc);
            admin.close();
            connection.close();
        }
    }

    ===解答===

    源码位置:hbase-1.3.1hbase-serversrcmainjavaorgapachehadoophbase egionserver

    文件名:HRegion.java

    函数名:setHTableSpecificConf

    调用位置:HRegion类的构造函数

    函数内容:

      void setHTableSpecificConf() {
        if (this.htableDescriptor == null) return;
        long flushSize = this.htableDescriptor.getMemStoreFlushSize();
    
        if (flushSize <= 0) {
          flushSize = conf.getLong(HConstants.HREGION_MEMSTORE_FLUSH_SIZE,
            HTableDescriptor.DEFAULT_MEMSTORE_FLUSH_SIZE);
        }
        this.memstoreFlushSize = flushSize;
        this.blockingMemStoreSize = this.memstoreFlushSize *
            conf.getLong(HConstants.HREGION_MEMSTORE_BLOCK_MULTIPLIER,
                    HConstants.DEFAULT_HREGION_MEMSTORE_BLOCK_MULTIPLIER);
      }

    从上面的源代码中可以得到如下结论:

    1、HRegion(每个Table会分为很多个HRegion分布在不同的HRegionServer中)对象在创建时,会初始化memstoreFlushSize。

    2、它的计算首先是由Table决定的,即每个表可以设定自己的memstoreFlushSize。

    通过关键字MEMSTORE_FLUSHSIZE来设定,或通过HTableDescriptor类中的setMemStoreFlushSize()方法来设定。

    3、如果表中未设定,则通过集群参数hbase.hregion.memstore.flush.size来初始化。

    4、如果集群参数也未配置的话,则默认为1024*1024*128L,即128M。

    所以,可以为不同的表配置不同的MemStore大小。需要在创建表的时候指定。

    如果表未单独配置,则采用集群的统一配置。默认128M。

    ===扩展===

    上面setHTableSpecificConf的源代码中,还进行了blockingMemStoreSize的初期化,这个参数是什么呢?

    从代码中可以看到,这个参数来源于集群配置项hbase.hregion.memstore.block.multiplier。这个参数与hbase.hregion.memstore.flush.size息息相关。

    参数作用:

    当一个HRegion中的MemStore的总大小(包含多个Store)超过阈值后,会出发flush请求。

    该参数是个倍数,表示一个HRegion的MemStore的总大小最大可以是“hbase.hregion.memstore.flush.size”的几倍

    如果超过这个值,则会阻塞该HRegion的写请求,等待flush。

    HRegion.java中的put方法。调用了checkResources()

      @Override
      public void put(Put put) throws IOException {
        checkReadOnly();
    
        // Do a rough check that we have resources to accept a write.  The check is
        // 'rough' in that between the resource check and the call to obtain a
        // read lock, resources may run out.  For now, the thought is that this
        // will be extremely rare; we'll deal with it when it happens.
        checkResources();
        startRegionOperation(Operation.PUT);
        try {
          // All edits for the given row (across all column families) must happen atomically.
          doBatchMutate(put);
        } finally {
          closeRegionOperation(Operation.PUT);
        }
      }

    checkResources()方法内容如下:

      /*
       * Check if resources to support an update.
       *
       * We throw RegionTooBusyException if above memstore limit
       * and expect client to retry using some kind of backoff
      */
      private void checkResources() throws RegionTooBusyException {
        // If catalog region, do not impose resource constraints or block updates.
        if (this.getRegionInfo().isMetaRegion()) return;
    
        if (this.memstoreSize.get() > this.blockingMemStoreSize) {
          blockedRequestsCount.increment();
          requestFlush();
          throw new RegionTooBusyException("Above memstore limit, " +
              "regionName=" + (this.getRegionInfo() == null ? "unknown" :
              this.getRegionInfo().getRegionNameAsString()) +
              ", server=" + (this.getRegionServerServices() == null ? "unknown" :
              this.getRegionServerServices().getServerName()) +
              ", memstoreSize=" + memstoreSize.get() +
              ", blockingMemStoreSize=" + blockingMemStoreSize);
        }
      }

    --END--

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  • 原文地址:https://www.cnblogs.com/quchunhui/p/7561972.html
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