CN105468748A - Distributed storage location data method and system - Google Patents
Distributed storage location data method and system Download PDFInfo
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- CN105468748A CN105468748A CN201510836420.8A CN201510836420A CN105468748A CN 105468748 A CN105468748 A CN 105468748A CN 201510836420 A CN201510836420 A CN 201510836420A CN 105468748 A CN105468748 A CN 105468748A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
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- G06F16/29—Geographical information databases
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Abstract
The invention discloses a distributed storage location data method and system. The method comprises the following steps: acquiring N location data reported by a terminal, performing data extraction on the N location data, and obtaining recorded information which at least includes a location information field, a time information field, an alarm information field and a state information field; and storing the recorded information into a relational database management system. In the distributed storage location data method provided by the invention, a corresponding storage strategy can be adopted aiming at features of the location data, so as to effectively reduce the access efficiency of the location data and read the location data more conveniently.
Description
Technical field
The application relates to communication technical field, particularly relates to a kind of distributed storage position data method and system.
Background technology
In smart city is built, based on Geographic Information System, (English: GeographicInformationSystem is called for short: location-based service GIS) is essential in monitor supervision platform system.But for monitored object One's name is legion, position data upgrades frequent, makes historical position data store pressure larger.
Summary of the invention
The invention provides a kind of distributed storage position data method and system, in order to solve monitored object One's name is legion in prior art, position data upgrades frequent, makes historical position data store the larger problem of pressure.
Its concrete technical scheme is as follows:
A kind of distributed storage position data method, described method comprises:
Obtain the N bar position data of terminal to report, wherein, N be more than or equal to 1 positive integer;
Data pick-up is carried out to described N bar position data, is at least comprised the recorded information of location information field, temporal information field, Alert info field and state information field;
Described recorded information is stored in Relational DBMS.
Optionally, before the N bar position data obtaining terminal to report, also comprise:
The position data got in first time period is deposited in the first tables of data;
And position data will be got in the second time period after first time period stored in the second tables of data.
Optionally, data pick-up is carried out to described N bar position data, is at least comprised the recorded information of location information field, temporal information field, Alert info field and state information field, comprising:
Every bar position data in N bar position data is analyzed, obtains positional information, temporal information, warning message, the status information of every bar position data;
The positional information of every bar position data is integrated into a location information field, the temporal information of every bar position data is integrated into temporal information field, the warning message of every bar position data is integrated into Alert info field, and the status information of every bar position data is integrated into state information field;
Generate the recorded information comprising location information field, temporal information field, Alert info field and state information field.
Optionally, data pick-up is carried out to described N bar position data, is at least comprised the recorded information of location information field, temporal information field, Alert info field and state information field, comprising:
Carry out data compression to described N bar position data, and obtain compression data packet and extraction code corresponding to described compression data packet, wherein, described extraction code is for extracting described compression data packet;
Described compression data packet is stored to distributed PostgreSQL database, and described extraction code is added in described recorded information.
Optionally, after being stored in Relational DBMS by described recorded information, described method also comprises:
Resolve the Query Information that gets, detect whether there is extraction code in described Query Information;
If there is not extraction code, then according to the querying condition in described Query Information, in described first tables of data or the second tables of data or Relational DBMS, obtain data query;
If there is extraction code, then in described distributed PostgreSQL database, extract compressed data packets corresponding to described extraction code.
A kind of distributed storage Positional Data System, comprising:
Acquisition module, for obtaining the N bar position data of terminal to report, wherein, N be more than or equal to 1 positive integer;
Data extraction module, for carrying out data pick-up to described N bar position data, is at least comprised the recorded information of location information field, temporal information field, Alert info field and state information field;
Processing module, for being stored to described recorded information in Relational DBMS.
Optionally, also comprise:
Data importing module, for being deposited in the first tables of data by the position data got in first time period; And position data will be got in the second time period after first time period stored in the second tables of data.
Optionally, described data extraction module, specifically for analyzing the every bar position data in N bar position data, obtains positional information, temporal information, warning message, the status information of every bar position data; The positional information of every bar position data is integrated into a location information field, the temporal information of every bar position data is integrated into temporal information field, the warning message of every bar position data is integrated into Alert info field, and the status information of every bar position data is integrated into state information field; Generate the recorded information comprising location information field, temporal information field, Alert info field and state information field.
Optionally, described data extraction module, also for carrying out data compression to described N bar position data, and obtain compression data packet and extraction code corresponding to described compression data packet, wherein, described extraction code is for extracting described compression data packet; Described compression data packet is stored to distributed PostgreSQL database, and described extraction code is added in described recorded information.
Optionally, also comprise:
Parsing module, for resolving the Query Information got, detects whether there is extraction code in described Query Information;
Enquiry module, if for there is not extraction code, then according to the querying condition in described Query Information, obtains data query in described first tables of data or the second tables of data or Relational DBMS; If there is extraction code, then in described distributed PostgreSQL database, extract compressed data packets corresponding to described extraction code.
The invention provides a kind of method of distributed storage position data, the method comprises: the N bar position data obtaining terminal to report, data pick-up is carried out to described N bar position data, is at least comprised the recorded information of location information field, temporal information field, Alert info field and state information field; Described recorded information is stored in Relational DBMS.In the method that the embodiment of the present invention provides, for the feature of position data, corresponding storage policy can be taked, thus the access efficiency of position data can be effectively reduced, and then make load position data also more convenient.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of a kind of distributed storage position data method in the embodiment of the present invention;
Fig. 2 is the structural representation of a kind of distributed storage Positional Data System in the embodiment of the present invention.
Embodiment
Embodiments provide a kind of distributed storage position data method, the method comprises: the N bar position data obtaining terminal to report, data pick-up is carried out to described N bar position data, is at least comprised the recorded information of location information field, temporal information field, Alert info field and state information field; Described recorded information is stored in Relational DBMS.In the method that the embodiment of the present invention provides, for the feature of position data, corresponding storage policy can be taked, thus the access efficiency of position data can be effectively reduced, and then make load position data also more convenient.
Below by accompanying drawing and specific embodiment, technical solution of the present invention is described in detail, be to be understood that, the explanation of concrete technical characteristic in the embodiment of the present invention and embodiment just to technical solution of the present invention, instead of limit, when not conflicting, the concrete technical characteristic in the embodiment of the present invention and embodiment can combine mutually.
Be illustrated in figure 1 the process flow diagram of a kind of distributed storage position data method in the embodiment of the present invention, the method comprises:
S101, obtains the N bar position data of terminal to report;
S102, carries out data pick-up to N bar position data, is at least comprised the recorded information of location information field, temporal information field, Alert info field and state information field;
S103, is stored to recorded information in Relational DBMS.
First, position data in embodiments of the present invention in order to make to get can be temporary transient be stored in corresponding storage space, the data that system gets will be cached in Lightweight Database Sqlite by temporary transient, in embodiments of the present invention, two tables of data are included in this Sqlite, that is: the first tables of data and the second tables of data, the position data got in first time period can be deposited in the first tables of data by system, and the position data got in the second time period after first time period is deposited in the second tables of data.
Such as the position data that first can get in 24 hours by system is deposited in the first tables of data, and at 24 hours later, system will switch, and then just the position data in follow-up 24 hours will be stored in the second tables of data.Can ensure that the position data got uninterruptedly can carry out buffer memory like this, thus improve integrality and the accuracy of position data.
Certainly, user can, directly by the position data that the first tables of data and the second tables of data get, make the efficiency of inquiring about to be protected like this.
Further, in embodiments of the present invention, when system by the buffer memory of position data from after the first tables of data switches to the second tables of data, the position data in the first tables of data processes by system, and concrete processing procedure is as follows:
In first time period, buffer memory N bar position data in the first tables of data, wherein, N can be more than or equal to 1 positive integer.
System is analyzed to the every bar position data in N bar position data, obtains the positional information of each position data, temporal information, warning message, status information etc.Certainly, the corresponding trade mark can also be parsed, such as license plate number or the ship trade mark etc., do not limit the information category comprised in position data in embodiments of the present invention.
After analyzing information corresponding to every bar position data, the positional information of the every bar position data in every bar position data is integrated into a location information field by system, the temporal information of every bar position data is integrated into temporal information field, the warning message of every bar position data is integrated into Alert info field, and the status information of every bar position data is integrated into state information field.That is identical information type forms a field, and making the later stage inquire about like this can be more convenient.
Certainly, after the information for identical type forms a field, system comprises the recorded information of location information field, temporal information field, Alert info field and state information field by generating, this recorded information will be saved in Relational DBMS PostgreSQL.
When tables of data switches each time, system all will perform above-mentioned processing procedure, can ensure that the data in tables of data can be stored in corresponding storage space timely like this, and distributed position data can be stored into different storage spaces by which, thus achieve the distributed storage of position data.
Further, while position data is stored in PostgreSQL, these N bar data are also carried out compression process by system, here the compress mode that compression process should take distributed data base Hbase to support, and should ensure when maximum compression ratio, the feature of retention position data.
Carrying out data compression to N bar position data, after obtaining compression data packet, system will get extraction code corresponding to this compressed package, and then compressed package is stored in Hbase by system.Certainly, extraction code will be added in recorded information, such as an independent field places extraction code in recorded information, ensures the compressed package that directly can be found correspondence by the extraction code in recorded information in Hbase like this.
Certainly, above-mentioned mode can be adopted to be stored in Hbase for the position data switched at every turn.Such guarantee original position data can be inquired easily.
Further, in embodiments of the present invention, after position data is stored in corresponding database by system, system can be real-time detection whether there is the Query Information of terminal, when getting Query Information, whether system exists extraction code by detection Query Information, if there is not extraction code, then in the first tables of data or the second tables of data or Relational DBMS, obtain data query, such as, a time point is contained in Query Information, then system finds out corresponding position data by according to this time point in the recorded information of the first tables of data or the second tables of data or Relational DBMS, and this position data is returned to terminal.
Certainly, except inquiring about according to time point, this system can also provide the inquiry mode of classification, such as: the inquiry of state information searching, warning message, trade mark information inquiry etc., these classifications can carry out the inquiry of position data as a querying condition.
Certainly, if when Query Information exists extraction code, then in distributed PostgreSQL database, extract compressed data packets corresponding to extraction code.That is, when system extracts extraction code in Query Information, system searches compressed data packets corresponding to this extraction code by direct according to this extraction code in distributed PostgreSQL database, original position data is saved in this compressed data packets, the mode that have employed high compression ratio due to compressed data packets is compressed, so terminal can decompress fast, thus ensure that terminal obtains the convenience of position data.
Generally speaking, in embodiments of the present invention, system, by obtaining the N bar position data of terminal to report, is carried out data pick-up to described N bar position data, is at least comprised the recorded information of location information field, temporal information field, Alert info field and state information field; Described recorded information is stored in Relational DBMS.In the method that the embodiment of the present invention provides, for the feature of position data, corresponding storage policy can be taked, thus the access efficiency of position data can be effectively reduced, and then make load position data also more convenient.
A kind of method of distributed storage position data in the corresponding embodiment of the present invention, the embodiment of the present invention additionally provides a kind of distributed storage Positional Data System, be illustrated in figure 2 the structural representation of a kind of distributed storage Positional Data System in the embodiment of the present invention, this system comprises:
Acquisition module 201, for obtaining the N bar position data of terminal to report, wherein, N be more than or equal to 1 positive integer;
Data extraction module 202, for carrying out data pick-up to described N bar position data, is at least comprised the recorded information of location information field, temporal information field, Alert info field and state information field;
Processing module 203, for being stored to described recorded information in Relational DBMS.
Further, in embodiments of the present invention, described system also comprises:
Data importing module, for being deposited in the first tables of data by the position data got in first time period; And position data will be got in the second time period after first time period stored in the second tables of data.
Further, in embodiments of the present invention, described data extraction module 202, specifically for analyzing the every bar position data in N bar position data, obtains positional information, temporal information, warning message, the status information of every bar position data; The positional information of every bar position data is integrated into a location information field, the temporal information of every bar position data is integrated into temporal information field, the warning message of every bar position data is integrated into Alert info field, and the status information of every bar position data is integrated into state information field; Generate the recorded information comprising location information field, temporal information field, Alert info field and state information field.
Further, in embodiments of the present invention, described data extraction module 202, also for carrying out data compression to described N bar position data, and obtain compression data packet and extraction code corresponding to described compression data packet, wherein, described extraction code is for extracting described compression data packet; Described compression data packet is stored to distributed PostgreSQL database, and described extraction code is added in described recorded information.
Further, in embodiments of the present invention, described system also comprises:
Parsing module, for resolving the Query Information got, detects whether there is extraction code in described Query Information;
Enquiry module, if for there is not extraction code, then according to the querying condition in described Query Information, obtains data query in described first tables of data or the second tables of data or Relational DBMS; If there is extraction code, then in described distributed PostgreSQL database, extract compressed data packets corresponding to described extraction code.
Although described the preferred embodiment of the application, one of ordinary skilled in the art once obtain the basic creative concept of cicada, then can make other change and amendment to these embodiments.So claims are intended to be interpreted as comprising preferred embodiment and falling into all changes and the amendment of the application's scope.
Obviously, those skilled in the art can carry out various change and modification to the application and not depart from the spirit and scope of the application.Like this, if these amendments of the application and modification belong within the scope of the application's claim and equivalent technologies thereof, then the application is also intended to comprise these change and modification.
Claims (10)
1. a distributed storage position data method, is characterized in that, described method comprises:
Obtain the N bar position data of terminal to report, wherein, N be more than or equal to 1 positive integer;
Data pick-up is carried out to described N bar position data, is at least comprised the recorded information of location information field, temporal information field, Alert info field and state information field;
Described recorded information is stored in Relational DBMS.
2. the method for claim 1, is characterized in that, before the N bar position data obtaining terminal to report, also comprises:
The position data got in first time period is deposited in the first tables of data;
And position data will be got in the second time period after first time period stored in the second tables of data.
3. the method for claim 1, is characterized in that, carries out data pick-up, at least comprised the recorded information of location information field, temporal information field, Alert info field and state information field, comprising described N bar position data:
Every bar position data in N bar position data is analyzed, obtains positional information, temporal information, warning message, the status information of every bar position data;
The positional information of every bar position data is integrated into a location information field, the temporal information of every bar position data is integrated into temporal information field, the warning message of every bar position data is integrated into Alert info field, and the status information of every bar position data is integrated into state information field;
Generate the recorded information comprising location information field, temporal information field, Alert info field and state information field.
4. the method for claim 1, is characterized in that, carries out data pick-up, at least comprised the recorded information of location information field, temporal information field, Alert info field and state information field, comprising described N bar position data:
Carry out data compression to described N bar position data, and obtain compression data packet and extraction code corresponding to described compression data packet, wherein, described extraction code is for extracting described compression data packet;
Described compression data packet is stored to distributed PostgreSQL database, and described extraction code is added in described recorded information.
5. method as claimed in claim 4, it is characterized in that, after being stored in Relational DBMS by described recorded information, described method also comprises:
Resolve the Query Information that gets, detect whether there is extraction code in described Query Information;
If there is not extraction code, then according to the querying condition in described Query Information, in described first tables of data or the second tables of data or Relational DBMS, obtain data query;
If there is extraction code, then in described distributed PostgreSQL database, extract compressed data packets corresponding to described extraction code.
6. a distributed storage Positional Data System, is characterized in that, comprising:
Acquisition module, for obtaining the N bar position data of terminal to report, wherein, N be more than or equal to 1 positive integer;
Data extraction module, for carrying out data pick-up to described N bar position data, is at least comprised the recorded information of location information field, temporal information field, Alert info field and state information field;
Processing module, for being stored to described recorded information in Relational DBMS.
7. system as claimed in claim 6, is characterized in that, also comprise:
Data importing module, for being deposited in the first tables of data by the position data got in first time period; And position data will be got in the second time period after first time period stored in the second tables of data.
8. system as claimed in claim 6, is characterized in that, described data extraction module, specifically for analyzing the every bar position data in N bar position data, obtaining positional information, temporal information, warning message, the status information of every bar position data; The positional information of every bar position data is integrated into a location information field, the temporal information of every bar position data is integrated into temporal information field, the warning message of every bar position data is integrated into Alert info field, and the status information of every bar position data is integrated into state information field; Generate the recorded information comprising location information field, temporal information field, Alert info field and state information field.
9. system as claimed in claim 6, is characterized in that, described data extraction module, also for carrying out data compression to described N bar position data, and obtain compression data packet and extraction code corresponding to described compression data packet, wherein, described extraction code is for extracting described compression data packet; Described compression data packet is stored to distributed PostgreSQL database, and described extraction code is added in described recorded information.
10. system as claimed in claim 9, is characterized in that, also comprise:
Parsing module, for resolving the Query Information got, detects whether there is extraction code in described Query Information;
Enquiry module, if for there is not extraction code, then according to the querying condition in described Query Information, obtains data query in described first tables of data or the second tables of data or Relational DBMS; If there is extraction code, then in described distributed PostgreSQL database, extract compressed data packets corresponding to described extraction code.
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