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Patent Searching and Data


Title:
METHOD FOR AGGREGATION OPTIMIZATION OF TIME SERIES DATA
Document Type and Number:
WIPO Patent Application WO/2020/024799
Kind Code:
A1
Abstract:
A method for aggregation optimization of time series data, comprising: dividing a time series database file into a data block file and a block index file; scanning the block index file according to calculated start and end time periods, extracting data blocks that meet a time period condition and other filtering conditions, and sorting according to the offset of each data block in the data block file; batch scanning the data files inexpensively according to the sorted data blocks, and gathering calculation results after carrying out specific calculation for each data block. The present method may be completed by opening a data file one time for scanning, regardless of whether reading single time series data or aggregating multiple time series, which greatly improves overall performance.

Inventors:
LIAO HAOJUN (CN)
GUAN SHENGLIANG (CN)
CHENG HONGZE (CN)
TAO JIANHUI (CN)
Application Number:
PCT/CN2019/096452
Publication Date:
February 06, 2020
Filing Date:
July 18, 2019
Export Citation:
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Assignee:
TAOS DATA (CN)
International Classes:
G06F3/06
Foreign References:
CN109164980A2019-01-08
CN106407395A2017-02-15
CN106844555A2017-06-13
CN104156385A2014-11-19
CN105513095A2016-04-20
US20070282492A12007-12-06
Other References:
See also references of EP 3832450A4
Attorney, Agent or Firm:
BEIJING YUANBEN INTELLECTUAL PROPERTY LAW OFFICE (CN)
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