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[数据库]hadoop(四): 本地 hbase 集群配置 Azure Blob Storage


      基于 HDP2.4安装(五):集群及组件安装  创建的hadoop集群,修改默认配置,将hbase 存储配置为 Azure Blob Storage

目录:

  • 简述
  • 配置
  • 验证

简述:


  • hadoop-azure 提供hadoop 与 azure blob storage 集成支持,需要部署 hadoop-azure.jar 程序包,在HDP2.4 安装包中已默认提供,如下图:
  • 配置成功后,读写的数据都存储在 Azure Blob Storage account
  • 支持配置多个 Azure Blob Storage account, 实现了标准的 Hadoop FileSystem interface
  • Reference file system paths using URLs using the wasb scheme.
  • Tested on both Linux and Windows. Tested at scale.
  • Azure Blob Storage 包含三部分内容:
    1. Storage Account: All access is done through a storage account
    2. Container: A container is a grouping of multiple blobs. A storage account may have multiple containers. In Hadoop, an entire file system hierarchy is stored in a single container. It is also possible to configure multiple containers, effectively presenting multiple file systems that can be referenced using distinct URLs.
    3. Blob: A file of any type and size. In Hadoop, files are stored in blobs. The internal implementation also uses blobs to persist the file system hierarchy and other metadata

配置 :


  • 在 china Azure  门户(https://manage.windowsazure.cn) 创建一个 blob storage Account, 如下图命名:localhbase
  • 配置访问 Azure blob storage 访问证书及key以及切换文件系统配置,本地 hadoop  core-site.<property> <name>fs.defaultFS</name> <value>wasb://localhbase@localhbase.blob.core.chinacloudapi.cn</value></property><property> <name>fs.azure.account.key.localhbase.blob.core.chinacloudapi.cn</name> <value>YOUR ACCESS KEY</value></property>
  • 在大多数场景下Hadoop clusters, the core-site.基于安全考虑的可选配置):

    <property> <name>fs.azure.account.keyprovider.localhbase.blob.core.chinacloudapi.cn</name> <value>org.apache.hadoop.fs.azure.ShellDecryptionKeyProvider</value></property><property> <name>fs.azure.account.key.localhbase.blob.core.chinacloudapi.cn</name> <value>YOUR ENCRYPTED ACCESS KEY</value></property><property> <name>fs.azure.shellkeyprovider.script</name> <value>PATH TO DECRYPTION PROGRAM</value></property>

  • Azure Blob Storage interface for Hadoop supports two kinds of blobs, block blobs and page blobs;Block blobs are the default kind of blob and are good for most big-data use cases, like input data for Hive, Pig, analytical map-reduce jobs etc

  • Page blob handling in hadoop-azure was introduced to support HBase log files. Page blobs can be written any number of times, whereas block blobs can only be appended to 50,000 times before you run out of blocks and your writes will fail,That won’t work for HBase logs, so page blob support was introduced to overcome this limitation

  •  Page blobs can be up to 1TB in size, larger than the maximum 200GB size for block blobs

  • In order to have the files you create be page blobs, you must set the configuration variable fs.azure.page.blob.dir to a comma-separated list of folder names

    <property>  <name>fs.azure.page.blob.dir</name>  <value>/hbase/WALs,/hbase/oldWALs,/mapreducestaging,/hbase/MasterProcWALs,/atshistory,/tezstaging,/ams/hbase</value></property>

验证: 


  • 上面的参数配置均在 ambari 中完成,重启参数依赖的服务
  •  命令: hdfs dfs -ls /hbase/data/default    如下图, 没有数据

  • 参见 HBase(三): Azure HDInsigt HBase表数据导入本地HBase  将测试表数据导入,完成后如下图:
  • 命令:./hbase hbck -repair -ignorePreCheckPermission
  • 命令: hbase shell
  • 查看数据,如下图,则OK
  • 用我们自己开发的查询工具验证数据,如下图,关于工具的开发见下一章
  •  参考资料: https://hadoop.apache.org/docs/current/hadoop-azure/index.html