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Hbase Introduction

      @yangwm
what hbase

    open-source, distributed, versioned, column-oriented store, implement
by Java, like bigtable




    Hadoop: A distributed system, for large scale storage and paralleled computing
    HDFS: A distributed file system that provides high throughput access to application data.
    ZooKeeper: A high-performance coordination service for distributed applications.
why need hbase

   Big Data: billions of rows X millions of columns

   Scalability: Linear scability, across hundreds or thousands of machine


   Read/write performance:
        put: MemStore(later merge into data file) and WAL(append instead random write)
        get and scan: Block cache and Bloom Filters


   Failure handling:http://en.wikipedia.org/wiki/Fallacies_of_Distributed_Computing


   Schema: Loosely-structured {key, value} data
how does hbase work

    (Table, RowKey, Family, Column, Timestamp) → Value

HBase table is a three-dimensional sorted map
        Each family consists of any number of columns

        Each column consists of any number of versions
        row(asc), column(asc), timestamp(desc)
HMaster

Assignment, load balancing, splitting
         Dispatch Regions to RegionServers.
         Assign RegionServers.


Not part of the read/write path


Highly available with ZooKeeper and standbys
HRegionServer




                                                      StoreFile is stored in HDFS as HFile
Table      (HBase table)
  Region      (Regions for the table)
    Store        (Store per ColumnFamily for each Region for the table)
        MemStore             (MemStore for each Store for each Region for the table)
        StoreFile          (StoreFiles for each Store for each Region for the table)
             Block           (Blocks within a StoreFile within a Store for each Region for the table)
MemStore & HLog




   Data is written into MemStore HLog first.
       Data are written into cache and log first,

       Data are flushed from cache to file, then merge later,

   HLog are used for recovering.
Zookeeper




   Tree-structure index:
    Zookeeper file Keep the pointer to the -ROOT- Region.
       Store index –ROOT- positions of .META. Regions
       Store table info .META. positions of each region on each regioin-server


   Store the Hbase schema--table info, column family info
   Fully cached in RAM
   Monitor RegionServer’s aliveness
HClient (Gateway of HBase)


   Cache the region positions.


   read :
   Batch Loading, Scan Caching, Scan Attribute(Column Family or Column) Selection


   write : AutoFlush, Turn off WAL on Puts


   Hbase client pool
thank you

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Hbase introduction

  • 2. what hbase open-source, distributed, versioned, column-oriented store, implement by Java, like bigtable Hadoop: A distributed system, for large scale storage and paralleled computing HDFS: A distributed file system that provides high throughput access to application data. ZooKeeper: A high-performance coordination service for distributed applications.
  • 3. why need hbase Big Data: billions of rows X millions of columns Scalability: Linear scability, across hundreds or thousands of machine Read/write performance: put: MemStore(later merge into data file) and WAL(append instead random write) get and scan: Block cache and Bloom Filters Failure handling:http://en.wikipedia.org/wiki/Fallacies_of_Distributed_Computing Schema: Loosely-structured {key, value} data
  • 4. how does hbase work (Table, RowKey, Family, Column, Timestamp) → Value HBase table is a three-dimensional sorted map Each family consists of any number of columns Each column consists of any number of versions row(asc), column(asc), timestamp(desc)
  • 5.
  • 6. HMaster Assignment, load balancing, splitting Dispatch Regions to RegionServers. Assign RegionServers. Not part of the read/write path Highly available with ZooKeeper and standbys
  • 7. HRegionServer StoreFile is stored in HDFS as HFile Table (HBase table) Region (Regions for the table) Store (Store per ColumnFamily for each Region for the table) MemStore (MemStore for each Store for each Region for the table) StoreFile (StoreFiles for each Store for each Region for the table) Block (Blocks within a StoreFile within a Store for each Region for the table)
  • 8. MemStore & HLog Data is written into MemStore HLog first. Data are written into cache and log first, Data are flushed from cache to file, then merge later, HLog are used for recovering.
  • 9. Zookeeper Tree-structure index: Zookeeper file Keep the pointer to the -ROOT- Region. Store index –ROOT- positions of .META. Regions Store table info .META. positions of each region on each regioin-server Store the Hbase schema--table info, column family info Fully cached in RAM Monitor RegionServer’s aliveness
  • 10. HClient (Gateway of HBase) Cache the region positions. read : Batch Loading, Scan Caching, Scan Attribute(Column Family or Column) Selection write : AutoFlush, Turn off WAL on Puts Hbase client pool