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hbase

  • 网络数据库;数据仓库
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  1. If any one else is interested in using HBase , let us know !

    如果还有其他公司对使用HBase感兴趣,就告诉我们吧!

  2. In other words , HBase supports a dynamic schema model .

    换句话说,HBase支持一个动态模式模型。

  3. Without it , HBase can lose data on server crash .

    没有这个操作,HBase可能会在服务器崩溃时丢失数据。

  4. You can use HBase to answer more difficult questions than that discussed in this article .

    您可以使用HBase解决比本文中讨论的问题更困难的问题。

  5. Although HBase still needs performance improvement , it shows real promise of becoming a mainstream solution .

    尽管HBase的性能仍需改善,但它的确展示了成为主流解决方案的前景。

  6. Facebook is testing the use of HBase for continuously updating dimension data in their warehouse .

    Facebook正在尝试将HBase用于数据仓库里的持续更新的维数据。

  7. Although we had a split early on , we 're still friends with the HBase team .

    虽然我们很早就与HBase项目分开,但两个团队仍然是很好的朋友。

  8. HBase and Bigtable promote a new way of thinking about the data-processing pipeline .

    HBase和Bigtable提出了一种关于数据处理管道的新的思维方式。

  9. Instead of traditional file processing , HBase makes database tables the input and output form for MapReduce processing .

    代替传统的文件处理,HBase使数据库将MapReduce处理的输入和输出格式列表。

  10. Running table scans on the HBase data was five times slower than native Hive queries .

    在HBase运行表扫描比执行原生的Hive查询要慢五倍以上。

  11. They are looking to optimize this integration , to take advantage of performance optimizations available in the latest HBase .

    他们尝试对这一集成进行优化,以利用最新的HBase性能优化所带来的好处。

  12. In the absence of table joins , de-normalization is often used in HBase to keep related information in one table .

    在缺乏表连接时,HBase通常使用去规范化(de-normalization)来将相关信息保存在一个表中。

  13. HBase is a key value store akin to BigTable which stores data in Hadoop 's DFS file system .

    HBase是类似BigTable的键值存储模型,将数据存储于Hadoop的DFS文件系统。

  14. HBase data is modeled as a multidimensional map in which values ( the table cells ) are indexed by four keys

    HBase数据被建模为多维映射,其中值(表单元)通过4个键索引

  15. It is built using Apache Hadoop for hourly index updates and Apache HBase to provide random access to item information .

    它使用ApacheHadoop来支持每小时进行的索引更新,使用ApacheHBase对随机存取信息提供支持。

  16. Note : At the time of this writing , the latest release of HBase was V0.19.3 .

    注意:在撰写本文时,HBase的最新版本是V0.19.3。

  17. Hbase is built on top of Hadoop and is designed for low-latency and data mutability .

    HBase是建立在Hadoop的之上的,并且具有低延时和数据可变性的设计。

  18. However , HBase does support efficient random accesses , so it can be used for some of the transactional elements of your business .

    但是,HBase支持高效随机存取,因此它可以被用于你的业务的一些事务性元素。

  19. HBase is a scalable , distributed , column-oriented dynamic-schema database for structured data .

    HBase是一个针对结构化数据的可伸缩、分布式和面向列的动态模式数据库。

  20. HBase is a subproject of Hadoop with its home at Apache .

    HBase是Apache的Hadoop项目的子项目。

  21. HBase is is an open-source , distributed , column-oriented store also modeled after BigTable .

    HBase是一个开源的、分布式的、仿效BigTable的面向列存储系统。

  22. Even though HBase is typically labeled as a database-it is not , in the sense that this term is used in enterprise applications .

    即便HBase常常被称为数据库,可是该数据库也不是给企业应用用的。

  23. Empty cells are not stored in HBase ; reading an empty cell is similar to extracting from a map a value by a nonexistent key .

    空单元不存储在HBase中,读取空单元类似于根据不存在的键从映射提取值。

  24. Perform a POST request for each insertion and omit the timestamps because HBase assigns default timestamps .

    对每个插入执行POST请求,省略时间戳,因为HBase分配默认时间戳。

  25. An HBase table schema defines the column families , but applications can create new members on the fly when you insert a row into the table .

    一个HBase表模式定义多个列族,但当您向表中插入一行时,应用程序能够在运行时创建新成员。

  26. HBase is a database representation over Hadoop 's HDFS , permitting MapReduce to operate on database tables over simple files .

    HBase是数据库在Hadoop的HDFS上的表现,在简单文件上执行MapReduce以操作数据库表。

  27. Just as Bigtable leverages the distributed data storage provided by the Google File System , HBase provides Bigtable-like capabilities on top of Hadoop .

    就像Bigtable利用了Googl文件系统(FileSystem)所提供的分布式数据存储一样,HBase在Hadoop之上提供了类似于Bigtable的能力。

  28. Any one who has mountains of structured or semi-structured data and who is currently up against the limits with their RDBMS should come take a look at HBase .

    任何拥有大量的结构化或半结构化数据、而且正受限于关系数据库管理系统(RDBMS)的用户都可以看看HBase。

  29. HBase is an open-source , distributed , column-oriented store modeled after the Google paper ," Bigtable : A Distributed Storage System for Structured Data " by Chang et al .

    HBase是一个开源的、分布式的、面向列的存储系统,该技术来源于Changetal所撰写的Google论文“Bigtable:一个结构化数据的分布式存储系统”。