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    • 2. 发明申请
    • ADAPTIVE DICTIONARY COMPRESSION/DECOMPRESSION FOR COLUMN-STORE DATABASES
    • 柱状数据库的自适应词典压缩/解压缩
    • US20150178305A1
    • 2015-06-25
    • US14139669
    • 2013-12-23
    • Ingo MuellerCornelius RatschPeter SandersFranz Faerber
    • Ingo MuellerCornelius RatschPeter SandersFranz Faerber
    • G06F17/30
    • G06F17/30129G06F17/30315
    • Innovations for adaptive compression and decompression for dictionaries of a column-store database can reduce the amount of memory used for columns of the database, allowing a system to keep column data in memory for more columns, while delays for access operations remain acceptable. For example, dictionary compression variants use different compression techniques and implementation options. Some dictionary compression variants provide more aggressive compression (reduced memory consumption) but result in slower run-time performance. Other dictionary compression variants provide less aggressive compression (higher memory consumption) but support faster run-time performance. As another example, a compression manager can automatically select a dictionary compression variant for a given column in a column-store database. For different dictionary compression variants, the compression manager predicts run-time performance and compressed dictionary size, given the values of the column, and selects one of the dictionary compression variants.
    • 用于列存储数据库字典的自适应压缩和解压缩的创新可以减少数据库列使用的内存量,从而允许系统将列数据保留在内存中以获取更多列,而访问操作的延迟仍然可以接受。 例如,字典压缩变体使用不同的压缩技术和实现选项。 一些字典压缩变体提供更积极的压缩(减少内存消耗),但会导致较慢的运行时性能。 其他字典压缩变体提供较不积极的压缩(更高的内存消耗),但支持更快的运行时性能。 另一个例子,压缩管理器可以自动为列存储数据库中的给定列选择字典压缩变体。 对于不同的字典压缩变体,压缩管理器根据列的值来预测运行时性能和压缩字典大小,并选择一个字典压缩变量。
    • 8. 发明授权
    • Compression of tables based on occurrence of values
    • 基于值的发生压缩表
    • US08126855B2
    • 2012-02-28
    • US13219499
    • 2011-08-26
    • Franz FaerberGuenter RadestockAndrew Ross
    • Franz FaerberGuenter RadestockAndrew Ross
    • G06F17/30
    • G06F17/30324G06F17/30477H03M7/30
    • Methods and apparatus, including computer program products, for compression of tables based on occurrence of values. In general, a number representing an amount of occurrences of a frequently occurring value in a group of adjacent rows of a column is generated, a vector representing whether the frequently occurring value exists in a row of the column is generated, and the number and the vector are stored to enable searches of the data represented by the number and the vector. The vector may omit a portion representing the group of adjacent rows. The values may be dictionary-based compression values representing business data such as business objects. The compression may be performed in-memory, in parallel, to improve memory utilization, network bandwidth consumption, and processing performance.
    • 方法和装置,包括计算机程序产品,用于根据值的发生压缩表。 通常,生成表示列的相邻行的频繁出现值的出现次数的数字,生成表示列的行中是否存在频繁出现的值的向量,并且生成数量和 存储矢量以使得能够搜索由数字和矢量表示的数据。 向量可以省略表示相邻行组的部分。 这些值可以是表示业务数据(例如业务对象)的基于字典的压缩值。 可以并行地在内存中执行压缩,以提高存储器利用率,网络带宽消耗和处理性能。