System and a process for searching massive amounts of time-series

    公开(公告)号:US10257057B2

    公开(公告)日:2019-04-09

    申请号:US15425094

    申请日:2017-02-06

    摘要: A system to collect and analyze performance metric data recorded in time-series measurements, converted into unicode, and arrange into a special data structure. The performance metric data is collected by one or more probes running on machines about which data is being collected. The performance metric data is also organized into a special data structure and then compressed prior to transmission to a server over any data path. The data structure at the server where analysis is done has a directory for every day of performance metric data collected with a subdirectory for every resource type. Each subdirectory contain text files of performance metric data values measured for attributes in a group of attributes to which said text file is dedicated. Each attribute has its own section and the performance metric data values are recorded in time series as unicode hex numbers as a comma delimited list. Analysis of the performance metric data is done using regular expressions. For speed, cache memory is used and the performance metric data outside the start time and end time named by the user on a query screen is eliminated before the regular expression is applied.

    System for organizing and fast searching of massive amounts of data

    公开(公告)号:US20130091168A1

    公开(公告)日:2013-04-11

    申请号:US13200995

    申请日:2011-10-05

    IPC分类号: G06F17/30

    摘要: A system to collect and analyze performance metric data recorded in time-series measurements, converted into unicode, and arranged into a special data structure. The performance metric data is collected by one or more probes running on machines about which data is being collected. The performance metric data is also organized into a special data structure. The data structure at the server where analysis is done has a directory for every day of performance metric data collected with a subdirectory for every resource type. Each subdirectory contain text files of performance metric data values measured for attributes in a group of attributes to which said text file is dedicated. Each attribute has its own section and the performance metric data values are recorded in time series as unicode hex numbers as a comma delimited list. Analysis of the performance metric data is done using regular expressions.