CN108052599A - A kind of method and apparatus of the time series data storage of supported feature inquiry - Google Patents

A kind of method and apparatus of the time series data storage of supported feature inquiry Download PDF

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CN108052599A
CN108052599A CN201711322634.9A CN201711322634A CN108052599A CN 108052599 A CN108052599 A CN 108052599A CN 201711322634 A CN201711322634 A CN 201711322634A CN 108052599 A CN108052599 A CN 108052599A
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data
characteristic
data point
point set
block
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王建民
黄向东
刘昆
张金瑞
龙明盛
王晨
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Tsinghua University
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Tsinghua University
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2458Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2474Sequence data queries, e.g. querying versioned data
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/22Indexing; Data structures therefor; Storage structures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2458Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2477Temporal data queries

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  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
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  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Mathematical Physics (AREA)
  • Computational Linguistics (AREA)
  • Probability & Statistics with Applications (AREA)
  • Fuzzy Systems (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The present invention provides a kind of method and apparatus of the time series data storage of supported feature inquiry, including:Time series data to be stored is divided into several set of data points for including multiple continuous data points, the characteristic value of each set of data points is calculated by default characteristic function, using the timestamp of data point in each set of data points and data value as the initial data of corresponding data point set, by the information of characteristic function, characteristic information of the period information and characteristic value of each set of data points as corresponding data point set, using an original data block as the memory space of the initial data of a set of data points, the initial data of each set of data points is stored, using a characteristic block as the memory space of the characteristic information of a set of data points, the characteristic information of each set of data points is stored;The time series data stored by above-mentioned storage method had not only supported the inquiry to original time series data, but also has supported the inquiry to characteristic value.

Description

A kind of method and apparatus of the time series data storage of supported feature inquiry
Technical field
The present invention relates to technical field of data processing, are deposited more particularly, to a kind of time series data of supported feature inquiry The method and apparatus of storage.
Background technology
With the fast development of internet and Internet of Things, the acquisition and use of time series data (referred to as time series data) Become more and more extensive, such as:In wind power industry, the sensor on wind turbine can be constantly be generated substantial amounts of time series data, By can be adjusted to the real-time analysis of these data to fan condition, wind power generation efficiency is improved;It is looked forward in complex equipment In industry, by the statistics of the history time series data to acquisition, the operating status of available each equipment.
Time series data has the characteristics that following:(1) data volume is big:One equipment enterprise often has thousands of or even up to ten thousand Equipment, the sensor in each equipment is gathered at a time interval according to the demand used and return data, therefore, when Ordinal number increases according to meeting is constantly quick.(2) there is unique feature:In different application fields, can be adopted for time series data It is described with different features, for emphasizing the different characteristic of time series data.Such as:Ordinal number when Fourier transformation obtains may be employed According to frequency domain character, and then characterize time series data by the use of frequency domain information as feature;Using piece wire approximation (PLA) by sequential Data are divided into multiple continuous set of data points, and then characterize corresponding data point set using a plurality of straight line as feature It closes;Basic statistical nature (average, variance, extreme value etc.) can also be considered as simple feature, for characterizing time series data.It is right In time series data, user may need to be inquired about and analyzed by original time series data, it is also possible to when only needing certain section Some features of interior data.Such as:The maxima and minima in a period of time is focused more in abnormal monitoring.
Existing storage system is general that only original time series data is stored when storing time series data, therefore mesh Before lack it is a kind of can not only support to inquire about original time series data, but also can support the feature to original time series data The storage method for the time series data inquired about.
The content of the invention
In order to overcome the above problem or solve the above problems at least partly, the present invention provides a kind of supported feature inquiry Time series data storage method and apparatus.
According to an aspect of the present invention, a kind of method of the time series data storage of supported feature inquiry is provided, including:It will Time series data to be stored is divided into several set of data points, and each set of data points includes multiple continuous data points, each Data point includes a timestamp and a data value, for any data point set, by number in any data point set Initial data of the timestamp and data value at strong point as set of data points;By data point in any data point set most Early timestamp and latest time stab the period information as any data point set, and institute is obtained according to default characteristic function The characteristic value of any data point set is stated, by the period information of any data point set, the information of characteristic function and described Characteristic information of the characteristic value of any data point set as any data point set;Create original data block and spy Data block is levied, using an original data block as the memory space of the initial data of a set of data points, to each data point The initial data of set is stored, using a characteristic block as the storage of the characteristic information of a set of data points Space stores the characteristic information of each set of data points.
Wherein, time series data to be stored is divided into several set of data points, including:By the elder generation of the timestamp of data point The continuous data point for often presetting quantity is divided into a set of data points by order afterwards.
Wherein, the characteristic value of any data point set is obtained according to default characteristic function, including:Call feature letter Number, deals with the initial data of any data point set, obtains the characteristic value of any data point set.
Wherein, the initial data of each set of data points is stored, including:For any data point set, The timestamp of each data point and data value in any data point set are sequentially stored in an original data block, and For any data point in any data point set, the timestamp of any data point is made to associate to any data The data value of point, to store the initial data of any data point set;The original number of each set of data points is stored successively According to.
Wherein, the characteristic information of each set of data points is stored, including:For any data point set It closes, by the characteristic value of the period information of any data point set, the information of characteristic function and any data point set It is sequentially stored in a characteristic block, to store the characteristic information of any data point set;Storage is every successively The characteristic information of one set of data points.
Wherein, original data block and characteristic block are created, using an original data block as set of data points The memory space of initial data stores the initial data of each set of data points, using a characteristic block as one The memory space of the characteristic information of a set of data points carries out storing it to the characteristic information of each set of data points Afterwards, further include:Incidence relation is established between original data block and characteristic block, wherein, for storing a data point set The original data block of the initial data of conjunction is associated to for storing the characteristic of the characteristic information of same set of data points According to block.
Another aspect of the present invention provides a kind of device of the time series data storage of supported feature inquiry, including:At least one A processor;And at least one processor being connected with processor communication, wherein:Memory storage has and can be executed by processor Program instruction, the instruction of processor caller is to perform above-mentioned method.
Another aspect of the present invention provides a kind of computer program product, which includes being stored in non- Computer program in transitory computer readable storage medium, which includes program instruction, when the program instruction quilt When computer performs, computer is made to perform above-mentioned method.
Another aspect of the present invention, provides a kind of non-transient computer readable storage medium storing program for executing, and the non-transient computer is readable Storage medium stores computer program, which makes computer perform above-mentioned method.
A kind of method and apparatus of the time series data storage of supported feature inquiry provided by the invention, including:It will be to be stored Time series data be divided into several set of data points for including multiple continuous data points, calculated by default characteristic function every The characteristic value of a set of data points, using the timestamp of data point in each set of data points and data value as corresponding data point set The initial data of conjunction, using the period information and characteristic value of the information of characteristic function and each set of data points as corresponding data point The characteristic information of set is right using an original data block as the memory space of the initial data of a set of data points The initial data of each set of data points is stored, using a characteristic block as the characteristic of a set of data points The memory space of information stores the characteristic information of each set of data points;It is stored by above-mentioned storage method Time series data can not only support the inquiry to original time series data, but also can support to the feature of original time series data Inquiry.
Description of the drawings
It, below will be to embodiment or the prior art in order to illustrate more clearly of technical solution of the invention or of the prior art Attached drawing is briefly described needed in description, it should be apparent that, the accompanying drawings in the following description is the one of the present invention A little embodiments, for those of ordinary skill in the art, without creative efforts, can also be according to these Attached drawing obtains other attached drawings.
Fig. 1 is the flow chart for the method that the time series data inquired about according to the supported feature of the embodiment of the present invention stores;
Fig. 2 is the schematic diagram according to the storage format of the original data block of the embodiment of the present invention;
Fig. 3 is the schematic diagram according to the storage format of the characteristic block of the embodiment of the present invention.
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, below in conjunction with attached in the embodiment of the present invention Figure, is clearly and completely described the technical solution in the present invention, it is clear that described embodiment is a part of the invention Embodiment, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not making wound All other embodiments obtained under the premise of the property made work, belong to the scope of protection of the invention.
In one embodiment of the invention, with reference to figure 1, a kind of side of the time series data storage of supported feature inquiry is provided Method, including:Time series data to be stored is divided into several set of data points by S11, and each set of data points includes multiple continuous Data point, each data point include a timestamp and a data value, for any data point set, by any number Initial data of the timestamp and data value of data point as any data point set in the set of strong point;S12 described will appoint The earliest time stamp of data point and latest time stab the period information as any data point set in one set of data points, The characteristic value of any data point set is obtained according to default characteristic function, the period of any data point set is believed Characteristic of the characteristic value of breath, the information of characteristic function and any data point set as any data point set Information;S13 creates original data block and characteristic block, using an original data block as the original of set of data points The memory space of data stores the initial data of each set of data points, using a characteristic block as a number The memory space of the characteristic information of strong point set, stores the characteristic information of each set of data points.
Specifically, time series data be it is a series of with timestamp, arrange and come from same according to ascending order according to the time The data of one target, a data point of each timestamp data value composition time series data corresponding with the timestamp.Use S Represent time series, in S one section of continuous data point uses P={ p1, p2...pnRepresent, wherein pi=(ti, di) represent P In i-th point, tiRepresent timestamp, diRepresent data value.Such as the data point in time series data is adopted according to every five seconds for example The data of collection, wherein containing 10 data points, then corresponding time series data is as shown in table 1 below:
Table 1 contains the time series data of 10 data points
Data point P1 P2 P3 P4 P5 P6 P7 P8 P9 P10
Timestamp 5 10 15 20 25 30 35 40 45 50
Data value 1 2 3.1 4 5.2 10 9 8 7 6
For time series data to be stored, time series data to be stored is divided into several set of data points, each data Point set includes multiple continuous data points, will be each for the timestamp and data value of data point in each set of data points The initial data of the timestamp of data point and data value as corresponding set of data points in set of data points, for example, by table 1 p1、p2、p3、p4And p5Be divided into first set of data points, then the initial data of the set of data points be (5,1), (10,2), (15,3.1), (20,4) and (25,5.2);For the initial data of each set of data points, by data in each set of data points Period information of morning yesterday timestamp and the latest time stamp of point as fixed each set of data points, such as first set of data points Middle earliest time stamp is " 5 ", and latest time stamp is " 25 ", then the period information of first set of data points is [5,25], each The period information of set of data points includes the time range of the timestamp of all data points in corresponding data point set;Using default Characteristic function, obtain the characteristic value of each set of data points;Default characteristic function is according to set by needing user, is used It either operation rule such as Fourier transformation, piece wire approximation or is calculated equal in the function for a certain feature for calculating data The operation rule of value calculates the operation rule of variance, calculates extreme value operation rule etc., and characteristic value is led to for a certain feature of data It crosses corresponding function or operation rule calculates the value obtained;Such as default characteristic function is chosen for piece wire approximation, Then the characteristic value of first set of data points can be identified as 0.21 (slope) and 0 (vertical intercept);It, will for any data point set The characteristic value of the period information of any data point set, the information of characteristic function and any data point set is as institute State the characteristic information of any data point set.
Original data block and characteristic block are created, using an original data block as the original of set of data points The mode of the memory space of data stores the initial data of each set of data points, i.e., an original data block is only deposited Store up the initial data of a set of data points;Using characteristic information of the characteristic block as a set of data points Memory space mode, the characteristic information of each set of data points is stored, i.e., a characteristic block is only deposited Store up the characteristic information of a set of data points.
Time series data to be stored is divided into several set of data points for including multiple continuous data points by the present embodiment, The characteristic value of each set of data points is calculated by default characteristic function, by the timestamp of data point in each set of data points With initial data of the data value as corresponding data point set, the period of the information of characteristic function and each set of data points is believed Breath and characteristic information of the characteristic value as corresponding data point set, using an original data block as a set of data points Initial data memory space, the initial data of each set of data points is stored, using a characteristic block as The memory space of the characteristic information of one set of data points deposits the characteristic information of each set of data points Storage;The time series data stored by above-mentioned storage method can not only support the inquiry to original time series data, but also can support Inquiry to the feature of original time series data.
Based on above example, time series data to be stored is divided into several set of data points, including:By data point The continuous data point for often presetting quantity is divided into a set of data points by the sequencing of timestamp.
Specifically, since first data point of time series data to be stored, the continuous data of quantity will be often preset Point is divided into a set of data points, such as the time series data of table 1, if default quantity is 5, p1、p2、p3、p4And p5It draws It is divided into for first set of data points, p6、p7、p8、p9And p10It is divided into as second set of data points.
The present embodiment is by by the timestamp of first data point in each set of data points and the last one data point Period information of the timestamp as corresponding set of data points owns so as to which the period information is contained in corresponding data point set The information of the timestamp of data point when being inquired about, can be carried out preliminary inquiry based on period information, be conducive to improve inquiry Efficiency.
Based on above example, the characteristic value of any data point set is obtained according to default characteristic function, including: Characteristic function is called, the initial data of any data point set is dealt with, obtains the spy of any data point set Value indicative.
It is specific to call characteristic function, the initial data of any data point set is dealt with, such as characteristic function For piece wire approximation, then using piece wire approximation to data point p in first set of data points1、p2、p3、p4And p5When Between stamp and data value deal with, can obtain first set of data points characteristic value be 0.21 (slope) and 0 (vertical intercept).
Based on above example, the initial data of each set of data points is stored, including:For any number Strong point is gathered, and the timestamp of each data point and data value in any data point set are sequentially stored in an original number According in block, and for any data point in any data point set, the timestamp of any data point is made to associate to institute The data value of any data point is stated, to store the initial data of any data point set;Each data point set is stored successively The initial data of conjunction.
Specifically, stored successively to the initial data of each set of data points, and set of data points is original Data occupy an original data block;Storage for the initial data of any of which set of data points, by any data point The timestamp of each data point and data value are sequentially stored in an original data block in set, form such as Fig. 2 institutes of storage Show, and for any data point, the timestamp of any data point is made to associate to the data value of any data point, it is right according to this The initial data of each set of data points is stored.
The present embodiment is stored by the initial data to each set of data points, the original number of a set of data points According to one original data block of occupancy, and the timestamp of any data point is associated to data value, to realize to original time series data Efficiently management, and can realize and corresponding data value is quickly found according to timestamp.
Based on above example, the characteristic information of each set of data points is stored, including:For described One set of data points, by the period information of any data point set, the information of characteristic function and any data point set The characteristic value of conjunction is sequentially stored in a characteristic block, to store the characteristic information of any data point set; The characteristic information of each set of data points is stored successively.
Specifically, stored successively to the characteristic information of each set of data points, and set of data points Characteristic information occupies a characteristic block;Storage for the characteristic information of any of which set of data points, will The characteristic value of the period information of any data point set, the information of characteristic function and any data point set is sequentially stored in In one characteristic block, the form of storage is as shown in Figure 3.
The present embodiment is stored by the characteristic information to each set of data points, and set of data points Characteristic information occupies a characteristic block, can be by using to realize the efficient management to the characteristic information of time series data Information determines period information at the time of family inputs, and passes through the characteristic value quickly to be searched of period information.
Original data block and characteristic block are created, using an original data block as the original number of a set of data points According to memory space, the initial data of each set of data points is stored, using a characteristic block as a data The memory space of the characteristic information of point set, after being stored to the characteristic information of each set of data points, also Including:Incidence relation is established between original data block and characteristic block, wherein, for storing the original of a set of data points The original data block of beginning data is associated to for storing the characteristic block of the characteristic information of same set of data points.
Specifically, it will be associated for storing the original data block of the initial data of a set of data points to same for storing The characteristic block of the characteristic information of one set of data points when user's input time is inquired about, is conducive to first root Set of data points, then the searching data point in set of data points are determined according to characteristic period information in the block, without traversal Each data point realizes quick lookup with this,
The time series data of the method storage of the time series data storage of supported feature inquiry based on above-described embodiment, can support Inquiry to original time series data and support two kinds of query types of inquiry to characteristic value, query type can be determined by user:
(1) to the inquiry of original time series data:Temporal information input by user is received, is believed according to the time input by user Breath traversal characteristic period information in the block is to determine characteristic block, according to associating for characteristic block and original data block Relation determines original data block, and each data point is traveled through in definite original data block, if the temporal information of family input with The matching of a certain date stamp then returns to the matched associated data value of date stamp to user, if the temporal information of family input with The timestamp of all data points can not match in original data block, such as the interval of timestamp is 5s, timestamp be respectively 5s, 10s, 15s ... ..., but the temporal information of family input is 12s, then is called according to the information of characteristic characteristic function in the block Corresponding characteristic function handles this feature data period information in the block and characteristic value, obtains the data at inquiry moment Value returns to user.
(2) to the inquiry of characteristic value:Temporal information input by user is received, is traveled through according to temporal information input by user special Data period information in the block is levied to determine characteristic block, the characteristic value stored in definite characteristic block is returned into use Family.
As another embodiment of the present invention, a kind of device of the time series data storage of supported feature inquiry is provided, including: At least one processor;And at least one processor being connected with the processor communication, wherein:The memory storage has The program instruction that can be performed by the processor, the processor call described program instruction to perform above-mentioned each method embodiment The method provided, such as including:Time series data to be stored is divided into several set of data points, each set of data points bag Multiple continuous data points are included, each data point includes a timestamp and a data value, will for any data point set Initial data of the timestamp and data value of data point as set of data points in any data point set;It will be described any The earliest time stamp of data point and latest time stab the period information as any data point set, root in set of data points The characteristic value of any data point set is obtained according to default characteristic function, the period of any data point set is believed Characteristic of the characteristic value of breath, the information of characteristic function and any data point set as any data point set Information;Original data block and characteristic block are created, using an original data block as the initial data of a set of data points Memory space, the initial data of each set of data points is stored, using a characteristic block as a data point The memory space of the characteristic information of set stores the characteristic information of each set of data points.
As another embodiment of the present invention, a kind of computer program product is provided, which includes The computer program being stored on non-transient computer readable storage medium storing program for executing, the computer program include program instruction, work as program Instruction is when being computer-executed, and computer is able to carry out the method that above-mentioned each method embodiment is provided, such as including:It will wait to deposit The time series data of storage is divided into several set of data points, and each set of data points includes multiple continuous data points, each data Point includes a timestamp and a data value, for any data point set, by data point in any data point set Initial data as set of data points of timestamp and data value;By in any data point set data point it is earliest when Between stamp and latest time stab period information as any data point set, according to obtaining default characteristic function times The characteristic value of one set of data points, by the period information of any data point set, the information of characteristic function and described any Characteristic information of the characteristic value of set of data points as any data point set;Create original data block and characteristic According to block, using an original data block as the memory space of the initial data of a set of data points, to each set of data points Initial data stored, a characteristic block is empty as the storage of the characteristic information of a set of data points Between, the characteristic information of each set of data points is stored.
As another embodiment of the present invention, a kind of non-transient computer readable storage medium storing program for executing is provided, the non-transient meter Calculation machine readable storage medium storing program for executing stores computer program, which put forward the above-mentioned each method embodiment of computer execution The method of confession, such as including:Time series data to be stored is divided into several set of data points, each set of data points includes more A continuous data point, each data point include a timestamp and a data value, for any data point set, by described in The initial data of the timestamp of data point and data value as set of data points in any data point set;By any data The earliest time stamp of data point and latest time stab the period information as any data point set in point set, according to pre- If characteristic function obtain the characteristic value of any data point set, by the period information of any data point set, spy The characteristic information of the information of sign function and the characteristic value of any data point set as any data point set; Original data block and characteristic block are created, using an original data block as the storage of the initial data of a set of data points Space stores the initial data of each set of data points, using a characteristic block as set of data points The memory space of characteristic information stores the characteristic information of each set of data points.
One of ordinary skill in the art will appreciate that:Realizing all or part of step of above method embodiment can pass through Computer program instructions relevant hardware is completed, and foregoing computer program can be stored in a computer-readable storage and be situated between In matter, the computer program upon execution, execution the step of including above method embodiment;And foregoing storage medium includes: The various media that can store program code such as ROM, RAM, magnetic disc or CD.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can It is realized by the mode of software plus required general hardware platform, naturally it is also possible to pass through hardware.Based on such understanding, on Technical solution is stated substantially in other words to embody the part that the prior art contributes in the form of software product, it should Computer software product can store in a computer-readable storage medium, such as ROM/RAM, magnetic disc, CD, including several fingers Order, which is used, so that computer equipment (can be personal computer, server or the network equipment etc.) performs each implementation Method described in some parts of example or embodiment.
What is finally illustrated is:The above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations;Although ginseng The present invention is described in detail according to previous embodiment, it will be understood by those of ordinary skill in the art that:It still can be with It modifies to the technical solution recorded in foregoing embodiments or equivalent substitution is carried out to which part technical characteristic;And These modifications are replaced, and the essence of appropriate technical solution is not made to depart from the spirit and model of various embodiments of the present invention technical solution It encloses.

Claims (9)

  1. A kind of 1. method of the time series data storage of supported feature inquiry, which is characterized in that including:
    Time series data to be stored is divided into several set of data points, each set of data points includes multiple continuous data Point, each data point includes a timestamp and a data value, for any data point set, by any data point set The initial data of the timestamp of data point and data value as any data point set in conjunction;
    The earliest time stamp and latest time of data point in any data point set are stabbed as any data point set The period information of conjunction obtains the characteristic value of any data point set according to default characteristic function, by any data The characteristic value of the period information of point set, the information of the characteristic function and any data point set is as any number The characteristic information of strong point set;
    Original data block and characteristic block are created, using an original data block as the initial data of a set of data points Memory space stores the initial data of each set of data points, using a characteristic block as a data point set The memory space of the characteristic information of conjunction stores the characteristic information of each set of data points.
  2. 2. according to the method described in claim 1, it is characterized in that, described be divided into several data by time series data to be stored Point set, including:
    By the sequencing of the timestamp of data point, the continuous data point for often presetting quantity is divided into a data point set It closes.
  3. 3. according to the method described in claim 1, it is characterized in that, described obtain any number according to default characteristic function The characteristic value of strong point set, including:
    The characteristic function is called, the initial data of any data point set is handled, obtains any data The characteristic value of point set.
  4. 4. according to the method described in claim 1, it is characterized in that, the initial data to each set of data points is deposited Storage, including:
    For any data point set, by the timestamp of each data point in any data point set and data value according to It is secondary to be stored in an original data block, and for any data point in any data point set, make any data The timestamp of point is associated to the data value of any data point, to store the initial data of any data point set;
    The initial data of each set of data points is stored successively.
  5. 5. according to the method described in claim 1, it is characterized in that, the characteristic information to each set of data points into Row storage, including:
    For any data point set, by the period information of any data point set, the information of the characteristic function It is sequentially stored in the characteristic value of any data point set in a characteristic block, to store any data point set The characteristic information of conjunction;
    The characteristic information of each set of data points is stored successively.
  6. 6. according to the method described in claim 1, it is characterized in that, described create original data block and characteristic block, by one Memory space of a original data block as the initial data of a set of data points, to the initial data of each set of data points It is stored, using a characteristic block as the memory space of the characteristic information of a set of data points, to each number After the characteristic information of strong point set is stored, further include:
    Incidence relation is established between original data block and characteristic block, wherein, for storing the original of a set of data points The original data block of beginning data is associated to for storing the characteristic block of the characteristic information of same set of data points.
  7. 7. a kind of device of the time series data storage of supported feature inquiry, which is characterized in that including:
    At least one processor;And at least one processor being connected with the processor communication, wherein:
    The memory storage has a program instruction that can be performed by the processor, the processor call described program instruction with Perform the method as described in claim 1 to 6 is any.
  8. 8. a kind of computer program product, which is characterized in that the computer program product includes being stored in non-transient computer Computer program on readable storage medium storing program for executing, the computer program include program instruction, when described program is instructed by computer During execution, the computer is made to perform the method as described in claim 1 to 6 is any.
  9. 9. a kind of non-transient computer readable storage medium storing program for executing, which is characterized in that the non-transient computer readable storage medium storing program for executing is deposited Computer program is stored up, the computer program makes the computer perform the method as described in claim 1 to 6 is any.
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Application publication date: 20180518