CN105930426A - Wireless monitoring data query method - Google Patents
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- CN105930426A CN105930426A CN201610244497.0A CN201610244497A CN105930426A CN 105930426 A CN105930426 A CN 105930426A CN 201610244497 A CN201610244497 A CN 201610244497A CN 105930426 A CN105930426 A CN 105930426A
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- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/80—Information retrieval; Database structures therefor; File system structures therefor of semi-structured data, e.g. markup language structured data such as SGML, XML or HTML
- G06F16/83—Querying
- G06F16/835—Query processing
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Abstract
The invention discloses a wireless monitoring data query method. The query method involves a universal interface module, a data transmission module, an HBase database and a historical data arrangement module, wherein the universal interface module, the data transmission module and the HBase database are connected in sequence; and the historical data arrangement module is connected with the HBase database. The query method comprises a data arrangement process, a data playback process and a playback stop process. The query method has the characteristics of high query speed, high query precision and capability of performing quick and real-time playback on massive semi-structured or non-structured data.
Description
Technical field
The present invention relates to radio Historical Monitoring data readback technical field, especially relate to one
Or unstructured data semi-structured to magnanimity can carry out the radio prison of quick real-time playback
Survey data query method.
Background technology
Radio monitoring is the movable safety guarantee such as megaevent, international conference and in real time
The important means of supervision and check, radio monitoring work is used for grasping frequency situation, ensureing nothing
Line electricity frequency, investigates and prosecutes rapidly harmful interference.
Along with development and the refinement of monitoring requirements of monitoring device, the number of radio monitoring data
Amount is in explosive growth, and usual equipment Monitoring Data in some months can reach TB number
According to level, and be destructuring or semi-structured monitoring record, use traditional storage and
Processing method cannot meet the needs of data query；Secondly, in order to save storage sky
Between, radio monitoring data generally use the form of byte stream to store, and observe personnel
Need position in the very first time and show Monitoring Data.
At present, the history real-time playback of radio monitoring data, generally there is following two side
Case:
Monitoring Data is stored, often by form one by one that use distributed Sqlite data base
Individual distributed Sqlite size is 2G.The method is applicable to the data equipment of low-frequency sampling,
And the history span of storage Monitoring Data is the least, the most several the equipment data of several days
Amount.
Using the method that file system maps, Historical Monitoring data preserve in the form of a file,
The path of file is stored in relevant database and is shown to user, and user is by file one by one
Inquiry record.Observation personnel, when searching data, need to observe one by one data, thus position
To the observation station needed, need to expend substantial amounts of manpower energy, observation personnel in advance cannot general view
Whole observation data.
Visible, current radio monitoring method can not effectively to the semi-structured of magnanimity or
Non-structured data carry out quick real-time playback.
Summary of the invention
The goal of the invention of the present invention is to overcome radio monitoring method pair of the prior art
Magnanimity is semi-structured or unstructured data carries out the deficiency of quick real-time playback, it is provided that one
Kind or unstructured data semi-structured to magnanimity can carry out the radio of quick real-time playback
Monitoring Data querying method.
To achieve these goals, the present invention is by the following technical solutions:
A kind of radio monitoring data query method, including common interface module, data transmission mould
Block, HBase data base and historical data orchestration module；Common interface module, data transmission mould
Block, HBase data base are sequentially connected with, and historical data orchestration module and HBase data base connect,
Described querying method includes data layout process, data readback process and playback stopped process；
Data layout process comprises the steps: that historical data orchestration module is by primary monitoring data
Each record solution be honored as a queen, read record each Frame, according to the frame of each Frame
Internal information generates rowkey index, and historical data orchestration module passes through api interface by every number
The rowkey index batch associated with each Frame according to frame imports HBase data base；HBase
Data base is provided with several equipment lists.
The present invention is indexed by the rowkey of design, radio monitoring data is loaded into one by one
In HBase data base, and the weight recorded when the time repeats when effectively preventing monitoring device too fast
Multiple, support that user is by record quick search；By the querying condition of data transmission module with
The correspondence of rowkey, it is achieved that any, the most real-time location of user playback of data.
As preferably, described data readback process comprises the steps:
(2-1) common interface module receives the inquiry request of user, and inquiry request is sent
To data transmission module；
(2-2) after data transmission module receives inquiry request, with queryid+ " query "
The message table of Field Inquiry data transmission module, if finding message table, then proceeds to step
(2-3)；
If message table does not exists, data transmission module generates message table (5), and message table includes
The Producer p1 of transmission trunking kafka, consumer c1, subscription message
Queryid+ " query ", Producer p2, consumer c2 and subscribe to message queryid+
“request”；
(2-3) inquiry content is sent out by the kafka cluster (6) of data transmission module by p1
Deliver to c1, c1 receive inquiry content after, inquiry HBase each equipment list in inquiry
The equipment list corresponding for query facility ID of content, if not finding equipment list, then returns one
Individual inquiry failure form；
If finding equipment list, during to inquire about the record time started T1 of content, record end
Between T2, service ID and enquiry frequency inquire about each rowkey index；If can not find and taking
The rowkey index of business ID or enquiry frequency coupling, then return inquiry failure；
If finding and servicing ID and enquiry frequency mates and T1≤record time≤T2 some
Individual rowkey indexes, and extracts each data of HBase data base according to each rowkey index
Frame, each Frame constitutes the historical record inquired；
(2-4) query messages table, inquires about corresponding p2, p2 by c1 and receives history
After record, historical record is issued c2, c2 and is sent to historical record inquire about user.
As preferably, described playback stopped process comprises the steps:
Common interface module receive user inquiry request, common interface module by inquiry request with
The form of XML is sent to data transmission module, and wherein user's query argument is 0；
After data transmission module receives request, with queryid+ " query " Field Inquiry data
The message table of transport module；
Data orchestration module passes through p1, c1, obtains the request of user, learns that query argument is 0,
Stop sending message to user；
P1, c1 are exited queryid+ by data orchestration module " query " subscription of message,
P2, c2 are exited queryid_ " request " subscription of message；Meanwhile, delete c1,
P1, c2, p2, message queryid+ " query " and queryid_ " request ", and
And deletion message table.
As preferably, described rowkey index includes the Hash fields of 1 byte, 4 words
The timestamp field of joint, the monitoring Services Code field of 1 byte, the monitoring frequency of 4 bytes
Rate field and the Load field of 4 bytes.
The present invention controls the length and interior of rowkey index by rowkey index generating algorithm
Hold, while satisfied differentiation each bar record, further through each word shortening rowkey index
Section, effectively reduces memory space, makes the search efficiency of historical data effectively promote.
As preferably, the generation process of rowkey index includes that timestamp field generates step
Suddenly, Hash fields generation step, monitoring Services Code field generation step and load code field
Generation step；
Timestamp field generation step is as follows: historical data orchestration module reads the frame of every frame data
Head, obtains the record time of every frame data, and is converted into a millisecond number, by millisecond the record time
Number access time stamp field.
The millisecond number of record time is stored in 4 bytes of timestamp field of rowkey,
Make the timestamp being accurate to millisecond preserve and drop to 4 bytes from 17 bytes, be effectively saved
The byte space of rowkey, improves search efficiency.
As preferably, described Hash fields generation step is as follows:
Historical data orchestration module is by millisecond number with 256 remainders, and its result is stored in Hash fields
In.
As preferably, described monitoring Services Code field generation step is as follows:
Historical data orchestration module obtains the monitoring Services Code of every frame data, monitoring service is compiled
Code is saved in monitoring Services Code field.
According to national Specification, radio monitoring needs to meet 26 kinds of monitoring services, respectively
Start coding from 1 to 26, be stored in monitoring Services Code field；After 27 to 265 can be used for
Continuous extension.
As preferably, described load code field generation step is as follows:
Historical data orchestration module obtains the frame load of every frame data, reads frame and loads each field
Value L；Utilize formula S=2L+ 1 transformed value S calculating each field value, by each field
S-phase adds and obtains S ', by the load code field of S ' write rowkey index.
According to national Specification, the load of radio monitoring frame needs to realize 18 options.
Therefore having only to take 18,14 vacant subsequent expansion are used.
Therefore, there is advantages that inquiry velocity is fast, inquiry precision is high, can
Or unstructured data semi-structured to magnanimity carries out quick real-time playback.
Accompanying drawing explanation
Fig. 1 is a kind of principle schematic of the present invention；
Fig. 2 is a kind of flow chart of the data readback process of the present invention；
Fig. 3 is a kind of flow chart of the playback stopped process of the present invention.
In figure: common interface module 1, data transmission module 2, HBase data base 3, history
Data orchestration module 4, message table 5, kafka cluster 6.
Detailed description of the invention
The present invention will be further described with detailed description of the invention below in conjunction with the accompanying drawings.
Embodiment as shown in Figure 1 be include common interface module 1, data transmission module 2,
HBase data base 3 and historical data orchestration module 4；Common interface module, data transmission mould
Block, HBase data base are sequentially connected with, and historical data orchestration module and HBase data base connect,
Described querying method includes data layout process, data readback process and playback stopped process；
Data layout process comprises the steps: that historical data orchestration module is by primary monitoring data
Each record solution be honored as a queen, read record each Frame, according to the frame of each Frame
Internal information generates rowkey index, and historical data orchestration module passes through api interface by every number
The rowkey index batch associated with each Frame according to frame imports HBase data base；HBase
Data base is provided with multiple equipment list.
As in figure 2 it is shown, data readback process comprises the steps:
Step 100, receives inquiry request
Common interface module receive user inquiry request, common interface module by inquiry request with
The form of XML is sent to data transmission module；
Step 200, query messages table
After data transmission module receives request, with queryid+ " query " Field Inquiry data
The message table of transport module, if finding message table, then proceeds to step 400；
Finding message table, illustrate to receive is again inquiry request, in data transmission module
Through there being message table,
If message table does not exists, explanation is to receive inquiry request, data transmission module for the first time
In be also not set up message table, data transmission module as shown in Figure 1 generates message table 5, disappears
Breath table includes the Producer p1 of transmission trunking kafka, consumer c1, subscribes to message
Queryid+ " query ", Producer p2, consumer c2 and subscribe to message queryid+
“request”；
Step 300, query history record
Inquiry content is passed through p1 by the kafka cluster 6 as shown in Figure 1 of data transmission module
Be sent to c1, c1 receive inquiry content after, inquiry HBase each equipment list in look into
Asking the equipment list corresponding for query facility ID of content, if not finding equipment list, then returning
One inquiry failure form；
If finding equipment list, during to inquire about the record time started T1 of content, record end
Between T2, service ID and enquiry frequency inquire about each rowkey index；If can not find and taking
The rowkey index of business ID or enquiry frequency coupling, then return inquiry failure；
If finding and servicing ID and enquiry frequency mates and T1≤record time≤T2 some
Individual rowkey indexes, and extracts each data of HBase data base according to each rowkey index
Frame, each Frame constitutes the historical record inquired；
Step 400, returns historical record to inquiry user
Query messages table, after inquiring about corresponding p2, p2 reception historical record by c1,
Historical record is issued c2, c2 be sent to historical record inquire about user.
Rowkey index include the Hash fields of 1 byte, the timestamp field of 4 bytes,
Monitoring Services Code field, the monitoring frequency field of 4 bytes and 4 bytes of 1 byte
Load field.
The generation process of rowkey index includes timestamp field generation step, and Hash fields is raw
Become step, monitoring Services Code field generation step and load code field generation step；
Timestamp field generation step: historical data orchestration module reads the frame head of every frame data,
Obtain the record time of every frame data, and the record time is converted into a millisecond number, millisecond number is deposited
Angle of incidence stamp field.
Hash fields generation step:
Historical data orchestration module is by millisecond number with 256 remainders, and its result is stored in Hash fields
In.
Monitoring Services Code field generation step:
Historical data orchestration module obtains the monitoring Services Code of every frame data, monitoring service is compiled
Code is saved in monitoring Services Code field.
Load code field generation step:
Historical data orchestration module obtains the frame load of every frame data, reads frame and loads each field
Value L；Utilize formula S=2L+ 1 transformed value S calculating each field value, by each field
S-phase adds and obtains S ', by the load code field of S ' write rowkey index.
Such as, the monitoring Services Code of certain frame data and monitoring record be < monitoring service-number: 5,
(frame head: 20160511121415879, frame loads: DT=3DT=6DT=8fre=91.8) >；
Represent that these frame data are produced by monitoring that service-number is 5 service, and in frame head the time be 2016
05 month 12: 14: 15 on the 11st year 879 milliseconds, the option value contained in frame load is
2,6,8, monitoring frequency is 91.8MHZ；Historical data orchestration module is by frame head
20160511121415879 times were converted into millisecond several 1462896855879, to millisecond number
1462896855879 to take more than 256 be 71；Historical data orchestration module puts into rowkey by 71
Hash fields in, put in the timestamp field of rowkey by 1462896855879, will
Monitoring Services Code 5 is put in the monitoring Services Code of rowkey, 91.8 in being loaded by frame
Frequency is put in the monitoring frequency field of rowkey field, utilizes formula S=2L+ 1 calculating is each
The transformed value S of the transformed value S, DT=3DT=6DT=8 of field value is respectively 9,65,257；
S '=9+65+257=333；The field value of the rowkey index ultimately formed is 71
1462896855879591.8333, i.e. rowkey has indexed with 14 byte representations hash
Field, timestamp field, monitoring Services Code field, monitoring frequency field, load coded word
Section.
As it is shown on figure 3, playback stopped process comprises the steps:
Step 1000, receives inquiry request
Common interface module receive user inquiry request, common interface module by inquiry request with
The form of XML is sent to data transmission module, and wherein user's query argument is 0；
Step 2000, query messages table
After data transmission module receives request, with queryid+ " query " Field Inquiry data
The message table of transport module；
Step 3000, returns result to inquiry user
Data orchestration module passes through p1, c1, obtains the request of user, learns that query argument is 0,
Stop sending message to user；
Step 4000, deletes message table
P1, c1 are exited queryid+ by data orchestration module " query " subscription of message,
P2, c2 are exited queryid_ " request " subscription of message；Meanwhile, delete c1,
P1, c2, p2, message queryid+ " query " and queryid_ " request ", and
And deletion message table；So far, the stopping request of user is completed.
Through experiment calculation, the big data real time play-back method of the present invention is at the monitoring number of PB level
According to the data required for user can be navigated to second level or Millisecond, quickly present to user,
User can control to obtain the speed of data by user's query argument simultaneously, it is achieved that big data
The on-demand acquisition data of user under environment；Have benefited from rowkey to index with frame load contents
Design, frame too fast in collection does not haves the phenomenon that frame repeats and loses yet time identical；And
The generating algorithm indexed by rowkey, it is possible to save the region server's of HBase
The memory space of 50%, decreases the memory space of disk, by frame load contents to rowkey
Mapping algorithm, be greatly improved the search efficiency of big data.
Should be understood that the present embodiment is merely to illustrate the present invention rather than limits the model of the present invention
Enclose.In addition, it is to be understood that after having read the content that the present invention lectures, those skilled in the art
Can make various changes or modifications the present invention, these equivalent form of values fall within appended by the application equally
Claims limited range.
Claims (8)
1. a radio monitoring data query method, is characterized in that, including common interface module
(1), data transmission module (2), HBase data base (3) and historical data orchestration module
(4)；Common interface module, data transmission module, HBase data base are sequentially connected with, history
Data orchestration module and HBase data base connect, and described querying method includes data layout
Journey, data readback process and playback stopped process；
Data layout process comprises the steps: that historical data orchestration module is by primary monitoring data
Each record solution be honored as a queen, read record each Frame, according to the frame of each Frame
Internal information generates rowkey index, and historical data orchestration module passes through api interface by every number
The rowkey index batch associated with each Frame according to frame imports HBase data base；HBase
Data base is provided with several equipment lists.
Radio monitoring data query method the most according to claim 1, is characterized in that,
Described data readback process comprises the steps:
(2-1) common interface module receives the inquiry request of user, and inquiry request is sent
To data transmission module；
(2-2) after data transmission module receives inquiry request, with queryid+ " query "
The message table of Field Inquiry data transmission module, if finding message table, then proceeds to step
(2-3)；
If message table does not exists, data transmission module generates message table (5), and message table includes
The Producer p1 of transmission trunking kafka, consumer c1, subscription message
Queryid+ " query ", Producer p2, consumer c2 and subscribe to message queryid+
“request”；
(2-3) inquiry content is sent out by the kafka cluster (6) of data transmission module by p1
Deliver to c1, c1 receive inquiry content after, inquiry HBase each equipment list in inquiry
The equipment list corresponding for query facility ID of content, if not finding equipment list, then returns one
Individual inquiry failure form；
If finding equipment list, during to inquire about the record time started T1 of content, record end
Between T2, service ID and enquiry frequency inquire about each rowkey index；If can not find and taking
The rowkey index of business ID or enquiry frequency coupling, then return inquiry failure；
If finding and servicing ID and enquiry frequency mates and T1≤record time≤T2 some
Individual rowkey indexes, and extracts each data of HBase data base according to each rowkey index
Frame, each Frame constitutes the historical record inquired；
(2-4) query messages table, inquires about corresponding p2, p2 by c1 and receives history
After record, historical record is issued c2, c2 and is sent to historical record inquire about user.
Radio monitoring data query method the most according to claim 1, is characterized in that,
Described playback stopped process comprises the steps:
Common interface module receive user inquiry request, common interface module by inquiry request with
The form of XML is sent to data transmission module, and wherein user's query argument is 0；
After data transmission module receives request, with queryid+ " query " Field Inquiry data
The message table of transport module；
Data orchestration module passes through p1, c1, obtains the request of user, learns that query argument is 0,
Stop sending message to user；
P1, c1 are exited queryid+ by data orchestration module " query " subscription of message,
P2, c2 are exited queryid " request " subscription of message；Meanwhile, delete c1,
P1, c2, p2, message queryid+ " query " and queryid " request ", and
And deletion message table.
Radio monitoring data query method the most according to claim 1, is characterized in that,
Described rowkey index include the Hash fields of 1 byte, the timestamp field of 4 bytes,
Monitoring Services Code field, the monitoring frequency field of 4 bytes and 4 bytes of 1 byte
Load field.
Radio monitoring data query method the most according to claim 4, is characterized in that,
The generation process of rowkey index includes timestamp field generation step, and Hash fields generates step
Suddenly, monitoring Services Code field generation step and load code field generation step；
Timestamp field generation step is as follows: historical data orchestration module reads the frame of every frame data
Head, obtains the record time of every frame data, and is converted into a millisecond number, by millisecond the record time
Number access time stamp field.
Radio monitoring data query method the most according to claim 5, is characterized in that,
Described Hash fields generation step is as follows:
Historical data orchestration module is by millisecond number with 256 remainders, and its result is stored in Hash fields
In.
Radio monitoring data query method the most according to claim 5, is characterized in that,
Described monitoring Services Code field generation step is as follows:
Historical data orchestration module obtains the monitoring Services Code of every frame data, monitoring service is compiled
Code is saved in monitoring Services Code field.
8. according to the radio monitoring data query method described in claim 5 or 6 or 7, its
Feature is, described load code field generation step is as follows:
Historical data orchestration module obtains the frame load of every frame data, reads frame and loads each field
Value L；Utilize formula S=2L+ 1 transformed value S calculating each field value, by each field
S-phase adds and obtains S ', by the load code field of S ' write rowkey index.
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| CN104850640A (en) * | 2015-05-26 | 2015-08-19 | 华北电力大学（保定） | HBase based storage and query method and system for power equipment status monitoring data |
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| CN102685221A (en) * | 2012-04-29 | 2012-09-19 | 华北电力大学（保定） | Distributed storage and parallel mining method for state monitoring data |
| CN103500173A (en) * | 2013-09-03 | 2014-01-08 | 北京泰乐德信息技术有限公司 | Method for inquiring rail transit monitoring data |
| CN103605805A (en) * | 2013-12-09 | 2014-02-26 | 冶金自动化研究设计院 | Storage method of massive time series data |
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