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    • 4. 发明授权
    • Flexible schema column store
    • 灵活的模式列存储
    • US08516008B1
    • 2013-08-20
    • US13475798
    • 2012-05-18
    • David Ryan MarquardtMitchell Neuman Blank, Jr.Stephen Phillip Sorkin
    • David Ryan MarquardtMitchell Neuman Blank, Jr.Stephen Phillip Sorkin
    • G06F17/30
    • G06F17/30442G06F17/30315G06F17/30321G06F17/30353G06F17/30401G06F17/30551G06F17/30554G06F17/30589G06F17/30622G06F17/30634G06F17/30696
    • Embodiments are directed towards receiving and processing search queries directed towards relatively large sets of data. The data is stored in a record based datastore. From the stored data, field names, corresponding field values, and posting values may be determined. Posting values may be employed to locate records in the datastore that include the field names and field values. The field names, field values, and posting values may be employed to generate a lexicon. If queries are received, a lexicon query processor may employ the lexicon separate from the datastore to generate responses to the received queries. Queries may include clauses that may be processed using the lexicon separate from the datastore, such as, where clause expressions, group-by clause expressions, aggregation functions, or the like. A time values array may be used to enable queries to process group-by-time expressions that may return results grouped into sub-sets based on time ranges.
    • 实施例旨在接收和处理针对相对大的数据集的搜索查询。 数据存储在基于记录的数据存储中。 从存储的数据可以确定字段名称,对应的字段值和过帐值。 可以使用发布值来定位数据存储中包含字段名称和字段值的记录。 可以使用字段名称,字段值和发布值来生成词典。 如果接收到查询,则词典查询处理器可以使用与数据存储区分开的词典来生成对所接收的查询的响应。 查询可以包括可以使用从数据存储区分开的词典来处理的子句,例如where子句表达式,分组子句表达式,聚合函数等。 时间值数组可用于使查询能够处理按时间范围分组成子集的结果的逐个逐句表达式。
    • 6. 发明授权
    • Compressed journaling in event tracking files for metadata recovery and replication
    • 用于元数据恢复和复制的事件跟踪文件中压缩日志记录
    • US08589403B2
    • 2013-11-19
    • US13037279
    • 2011-02-28
    • David Ryan MarquardtMitchell Neuman Blank, Jr.Stephen Sorkin
    • David Ryan MarquardtMitchell Neuman Blank, Jr.Stephen Sorkin
    • G06F17/30
    • G06F17/30144
    • Embodiments are directed towards employing compressed journaling for event tracking files for metadata recovery and replication. Event data and related metadata are received from one or more client devices. When a feature within the received metadata is detected that is previously unwritten to a journal, then the previously unwritten feature is written to the journal. Further, any feature is detected for the received event data that is determined to be different from a feature associated with an immediately preceding event data that is written in the journal, then the detected different feature is identified in the journal. In one embodiment, the identification employs writing to the journal an effective feature record that may employ indices identifying the different feature. The received event data is also written to the journal and may further employ string arguments to minimize recording of redundant information into the journal.
    • 实施例针对采用用于元数据恢复和复制的事件跟踪文件的压缩日志记录。 从一个或多个客户端设备接收事件数据和相关元数据。 当检测到接收的元数据中先前未被写入日志的特征时,将先前未写入的特征写入日志。 此外,检测到被确定为与写入日志中的紧接在前的事件数据相关联的特征的接收事件数据的任何特征,然后在日志中识别检测到的不同特征。 在一个实施例中,识别使用向日志写入可以使用识别不同特征的索引的有效特征记录。 接收到的事件数据也被写入日志,并且可以进一步使用字符串参数来最小化将冗余信息记录到日志中。