バージョン 3 から バージョン 4 における更新: bigdata

差分発生行の前後
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2012/03/08 18:06:58 (13 年 前)
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wu
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  • bigdata

    v3 v4  
    1515=== Bigdata 配置 === #configure 
    1616 
     17The journal in Bigdata (please refer to [http://sourceforge.net/apps/mediawiki/bigdata/index.php?title=StandaloneGuide] for details.) 
    1718 
     19The WORM (Write-Once, Read-Many) is the traditional log-structured append only journal. It was designed for very fast write rates and is used to buffer writes for scale-out. This is a good choice for immortal databases where people want access to ALL history. Scaling is to several billions of triples.  
     20 
     21The RW store (Read-Write) supports recycling of allocation slots on the backing file. It may be used as a time-bounded version of an immortal database where history is aged off of the database over time. This is a good choice for standalone workloads where updates are continuously arriving and older database states may be released. The RW store is also less sensitive to data skew because it can reuse B+Tree node and leaf revisions within a commit group on large data set loads. Scaling should be better than the WORM for standalone and could reach to 10B+ triples. The default property file is attachment:RWStore.properties. 
     22 
     23In the test we modified the following two important parameters: 
    1824{{{ 
    19  
     25com.bigdata.btree.writeRetentionQueue.capacity=500000 
     26com.bigdata.rdf.sail.BigdataSail.bufferCapacity=1000000 
    2027}}} 
    2128