CN109710616A - A kind of deposit method of data - Google Patents
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Abstract
The present invention provides a kind of deposit method of data.This method comprises: defining metadata, including n grades of data T according to statistical dimension nn, n=1,2 ..., N, N is positive integer；For data allocations one corresponding level-one column memory space of each dimension, level one data T1Level-one column memory space store the first data；Secondary data T2Level-one column memory space store the second data, the second data by by the first data with M1Behavior unit is divided intoEach group of any position data composition after group；And so on, m grades of data TmIt stores belowArticle m data, m data by by (m-1) data with Mm‑1Behavior unit is divided intoEach group of any position data composition after group；N grades of data TNLevel-one column memory space store Nth data, Nth data be (N-1) data in designated position data；Data are stored in the corresponding level-one column memory space according to statistical dimension.The present invention can reduce logical complexity, improve search efficiency.
Description
Technical field
The present invention relates to technical field of data storage more particularly to a kind of deposit methods of data.
Background technique
Currently, the sigma delta data of the smart machines such as ammeter, water meter, calorimeter and gas meter, flow meter generally use relationship type number
It is stored according to library (such as MySQL, Oracle, SQL Server).The data location mode that relevant database is taken is similar to
Microsoft Excel, as shown in table 1: the sigma delta data of smart machine are divided into three column: smart machine ID, data record time
And smart machine reading.
1 smart machine data of table often use location mode
| ID | Time | Tabular value |
| 1 | 2018-01-07 01:00:00 | 1 |
| 2 | 2018-01-07 02:00:00 | 2 |
| 3 | 2018-01-07 03:00:00 | 3 |
| …… | …… | …… |
| 10000 | 2018-12-31 23:00:00 | 10000 |
By taking ammeter as an example, if one hour deposits a data according to data location mode as shown in Table 1, need to store within 1 day
24, the data of 1 year (calculating according to 365 days) then need to deposit 24*365=8760 data in the database, store 115 electricity
The data of table will 1,000,000 row data.However the relevant databases such as MySQL, Oracle, SQL Server are in single table 1,000,000
When line number is upper accordingly, query performance can decline therewith, and the inquiry velocity of data is slower.
It is thus proposed that the data storage method of table is divided in point library.Point library divides table to be exactly according to certain rules, to original
Some databases and table are split, and on the data block storage to multiple libraries for being stored in a library originally, script is stored
In on the data block storage to multiple tables of a table.For example, by data, temporally dimension divides table, and the data in January store one
Table.But when inquiring data, multi-table query is become by the inquiry of single table, causes logical complexity when inquiry.
Chinese patent 201310305852.7 discloses the data storage and query method and its system of a kind of intelligent electric meter,
This patent divides time into a plurality of periods, looks into as needed by the way that memory page is divided into a plurality of memory pages
The time of the data of inquiry, proportionally relationship calculates memory page locating for the data of needs inquiry, has been properly arrived at and has looked into
Ask the balance between speed and space utilization.But if the data of inquiry are more, it is both needed to calculate proportionate relationship, inquiry effect every time
Rate is lower.
Summary of the invention
To solve the above-mentioned problems in the prior art, the present invention provides a kind of deposit method of data, reduces number
It is investigated that logical complexity when asking, improves search efficiency.
A kind of deposit method of data provided by the invention, mainly comprises the steps that
Step 1 defines metadata according to the statistical dimension n of setting, and the metadata includes n grades of data Tn, n=1,
2 ..., N, N are positive integer；
Step 2, the data allocations one corresponding level-one column memory space for each dimension, in which:
The level one data T1Level-one column memory space for storingThe first data of item；The secondary data T2's
Level-one column memory space is for storingThe second data of item, second data by by the first data with M1Behavior unit point
ForEach group of any position data composition after group；And so on, the m grades of data TmLevel-one column memory space
For storingArticle m data, the m data by by (m-1) data with Mm-1Behavior unit is divided intoAfter group
Each group of any position data composition；The N grades of data TNLevel-one column memory space for storing MN-1Nth data, institute
State the data that Nth data is designated position in (N-1) data；Wherein, m=3,4 ..., N-1；M1、M2、…、MN-1It is positive whole
Number；
Data are stored in the corresponding level-one column memory space according to statistical dimension by step 3.
Further, the step 2 further include:
Preceding N-1 grades of data are respectively divided into M according to statistical dimensionN-1A corresponding subdata；
The level-one column memory space of the preceding N-1 grades of data is respectively divided into MN-1A second level corresponding with the subdata
Column memory space；
Correspondingly, the second level column memory space of each level-one subdata is used to storeThe first data of item；Each two
The second level column memory space of grade subdata is used to storeThe second data of item；And so on, the two of each l grades of subdata
Grade column memory space is used to storeData l data, the second level column memory space difference of each N-1 grades of subdata
Store 1 data, l=3,4 ... ..., N-2；
Correspondingly, the step 3 are as follows: data correspondence is stored in the corresponding level-one column memory space and the second level
Column memory space.
Further, the statistical dimension unit of first data uses M1System, the statistical dimension of second data
Unit uses M2System, and so on, the statistical dimension unit of the m data uses MmSystem.
Beneficial effects of the present invention:
The deposit method of a kind of data provided by the invention, first by defining several yuan according to the statistical dimension of setting
Data, it is interrelated in statistical dimension between each metadata；Then it is each data allocations column memory space, will needs
The data for carrying out the equipment of data statistics are stored according to different statistical dimensions to corresponding column memory space, to will finally set
The sigma delta data of standby different dimensions are stored in a table in a database.In this way, staff is needing to look into
When asking data, without reading multiple tables in disparate databases, only need to browse a table can obtain relevant information, reduce
Logical complexity when data query, improves search efficiency.
Detailed description of the invention
Fig. 1 is a kind of flow diagram of the deposit method of data provided in an 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, technical solution in the embodiment of the present invention are explicitly described, 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
Every other embodiment obtained under the premise of the property made labour, shall fall within the protection scope of the present invention.
Data of the invention predominantly carry out accumulative sigma delta type data with the statistical dimension of setting.
Fig. 1 is a kind of flow diagram of the deposit method of data provided in an embodiment of the present invention.As shown in Figure 1, the party
Method the following steps are included:
S101, metadata is defined according to the statistical dimension n of setting, the metadata includes n grades of data Tn, n=1,2 ...,
N, N are positive integer；
S102, the data allocations one corresponding level-one column memory space for each dimension, in which:
The level one data T1Level-one column memory space for storingThe first data of item；The secondary data T2's
Level-one column memory space is for storingThe second data of item, second data by by the first data with M1Behavior unit point
ForEach group of any position data composition after group；And so on, the m grades of data TmLevel-one column memory space
For storingArticle m data, the m data by by (m-1) data with Mm-1Behavior unit is divided intoAfter group
Each group of any position data composition；The N grades of data TNLevel-one column memory space for storing MN-1Nth data, institute
State the data that Nth data is designated position in (N-1) data；Wherein, m=3,4 ..., N-1；M1、M2、…、MN-1It is positive whole
Number；
Specifically, the statistical dimension unit of first data uses M1System, the statistical dimension list of second data
Position uses M2System, and so on, the statistical dimension unit of the m data uses MmSystem.
S103, data are stored in the corresponding level-one column memory space according to statistical dimension.
The deposit method of a kind of data provided by the invention, first by defining several yuan according to the statistical dimension of setting
Data, it is interrelated in statistical dimension between each metadata；Then it is each data allocations column memory space, will needs
The data for carrying out the equipment of data statistics are stored according to different statistical dimensions to corresponding column memory space, to will finally set
The sigma delta data of standby different dimensions are stored in a table in a database.In this way, staff is needing to look into
When asking data, without reading multiple tables in disparate databases, only need to browse a table can obtain relevant information, reduce
Logical complexity when data query, improves search efficiency.
On the basis of the above embodiments, as an embodiment, step S102 further include: will according to statistical dimension
Preceding N-1 grades of data are respectively divided into MN-1A corresponding subdata；The level-one column memory space of the preceding N-1 grades of data is divided respectively
For MN-1A second level column memory space corresponding with the subdata；
Correspondingly, the second level column memory space of each level-one subdata is used to storeThe first data of item；Each two
The second level column memory space of grade subdata is used to storeThe second data of item；And so on, the two of each l grades of subdata
Grade column memory space is used to storeData l data, the second level column memory space difference of each N-1 grades of subdata
Store 1 data, l=3,4 ... ..., N-2；
Correspondingly, the step S103 are as follows: by the corresponding corresponding level-one column memory space and described of being stored in of data
Second level column memory space.On the basis of the above embodiments, the present invention provides another embodiment, and detailed process is as follows:
S201, define metadata according to time statistical dimension, the metadata include level one data T1, secondary data T2,
Three-level data T3 and level Four data T4；
S202, the data allocations one corresponding level-one column memory space for each dimension；
S203, the level one data T1, secondary data T2 and three-level data T3 are respectively divided into P according to time statistical dimension
A level-one subdata, P second level subdata and P three-level subdata；
S204, the level-one column memory space of the level one data T1, secondary data T2 and three-level data T3 are respectively divided into P
A second level column memory space corresponding with the level-one subdata, second level subdata and three-level subdata；
Specifically, the second level column memory space of each level-one subdata is used to storage the first data of M*N item；Each
The second level column memory space of the second level subdata is used to storage the second data of N item；The second level of each three-level subdata
Column memory space is used to storage third data；The level-one column memory space of the level Four data T4 is for storing the 4th data.
Second data are by each group of the first data group of last item after the first data to be divided into N group with M behavior unit
At；The third data are made of last the second data of item；4th data are last article third data.
S205, data correspondence is stored in the corresponding level-one column memory space and the second level column memory space, most
End form is at a table.As shown in table 2.
The stored table of 2 data of table
It should be noted that M, N and P in the present embodiment are respectively equivalent to the M in above-described embodiment1、M2And M3。
Data deposit method of the present invention, typical application example include for smart metering device or intelligent family
Occupy the data storage of equipment.Smart metering device includes the utility meters such as ammeter, water meter, gas meter, flow meter and calorimeter.With intelligent electric meter
For, the data deposit method of the data deposit method provided according to the present invention, ammeter real time data is as follows.Firstly, can first build
Vertical concordance list and field list, so that the later period is inquired.Concordance list and field list are respectively such as table 3 and table 4.
3 concordance list of table
| Title | Type | Attribute | Remarks |
| Master index | id | unique | Nothing |
| addr | equnum | Nothing | Nothing |
| year | year | Nothing | Nothing |
4 field list of table
In conjunction with table 2, the metadata of the data stored table of intelligent electric meter: level one data T1, secondary data T2, three series is defined
According to T3 and level Four data T4.Wherein, level one data T1 includes 12 level-one subdatas (h1-h12)；Secondary data T2 includes 12
Second level subdata (d1-d12)；Three-level data T3 includes 12 three-level subdatas (m1-m12)；Level Four data T4 is y1.Initialization
M=24, N=31, P=12.
For first data to be the real time data for updating the smart metering device of unit with hour, example is " 1.1 " described as follows；Institute
Stating the second data to be take day as the real time data for updating the smart metering device of unit, and example is " 26.4 " described as follows；The third
For data to be the real time data for updating the smart metering device of unit with the moon, example is " 818.4 " described as follows；4th data are
It is the real time data for updating the smart metering device of unit with year, example is " 89662.4 " described as follows.
The column (h1-h12) of (1) 12 hour: h1 records all hours data in January, and h2 records 2 months all hours
Data, and so on, h12 record December all hours data.
Such as the hour data on January 1, it is stored using following programs.Wherein " 0 "-" 23 " indicate hour；
" 1.1 " indicate ammeter reading.
The column (d1-d12) in (2) 12 days: d1 records all days data in January, and d2 records 2 months all days numbers
According to, and so on, d12 records all days data in December.
Such as 31 day datas in January, it is stored using following programs.Wherein " 01 "-" 31 " indicate day；" 26.4 " table
Show that ammeter is read.
(3) 12 months column (m1-m12): m1 records all months data in January, and m2 records 2 months all days numbers
According to, and so on, m12 records all days data in December.
For example, the moon data in January: 818.4.
The column y1 in (4) one year: 1 year sum data of record.
For example, 1 year total amount of data: 89662.4.
In this way, to look into 24 hours one day data, 31 days one month numbers when counting the historical data of electricity water etc.
According to 12 months 1 year data, 1 year data will be very convenient quick, can inquire in a data.One
Data a line occupied in table, such 1,000,000 row data can store 1,000,000 equipment, 1 year data, have with
Lower benefit: the first, time identical data are stored and have used less memory space；The second, query performance is improved；Third does not have to
It does a point library and divides table, logic is simple；4th, the inquiry times to database are reduced；5th, the data inquired can be directly shown to
On the page, and do not have to do the data inquired again plus-minus operation, saves the time.
Finally, it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although
Present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: it still may be used
To modify the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features；
And these are modified or replaceed, technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution spirit and
Range.
Claims (3)
1. a kind of deposit method of data characterized by comprising
Step 1 defines metadata according to the statistical dimension n of setting, and the metadata includes n grades of data Tn, n=1,2 ..., N, N
For positive integer；
Step 2, the data allocations one corresponding level-one column memory space for each dimension, in which:
The level one data T1Level-one column memory space for storingThe first data of item；The secondary data T2Level-one
Column memory space is for storingThe second data of item, second data by by the first data with M1Behavior unit is divided intoEach group of any position data composition after group；And so on, the m grades of data TmLevel-one column memory space use
In storageArticle m data, the m data by by (m-1) data with Mm-1Behavior unit is divided intoIt is every after group
One group of any position data composition；The N grades of data TNLevel-one column memory space for storing MN-1Nth data, it is described
Nth data is the data of designated position in (N-1) data；Wherein, m=3,4 ..., N-1；M1、M2、…、MN-1It is positive whole
Number；
Data are stored in the corresponding level-one column memory space according to statistical dimension by step 3.
2. the method according to claim 1, wherein the step 2 further include:
Preceding N-1 grades of data are respectively divided into M according to statistical dimensionN-1A corresponding subdata；
The level-one column memory space of the preceding N-1 grades of data is respectively divided into MN-1A second level column corresponding with the subdata are deposited
Store up space；
Correspondingly, the second level column memory space of each level-one subdata is used to storeThe first data of item；Each second level
The second level column memory space of data is used to storeThe second data of item；And so on, the second level column of each l grades of subdata
Memory space is used to storeThe second level column memory space of data l data, each N-1 grades of subdata stores 1 respectively
Data, l=3,4 ... ..., N-2；
Correspondingly, the step 3 are as follows: data correspondence is stored in the corresponding level-one column memory space and second level column are deposited
Store up space.
3. the method according to claim 1, wherein the statistical dimension unit of first data uses M1System,
The statistical dimension unit of second data uses M2System, and so on, the statistical dimension unit of the m data uses Mm
System.
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