CN105930426B - Radio monitoring data query method - Google Patents
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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 kind of radio monitoring data query methods, including common interface module, data transmission module, HBase database and historical data orchestration module；Common interface module, data transmission module, HBase database are sequentially connected, historical data orchestration module is connected with HBase database, the querying method includes data layout process, data readback process and playback stopped process, the present invention has that inquiry velocity is fast, inquiry precision is high, can or unstructured data semi-structured to magnanimity the characteristics of carrying out quick real-time playback.
Description
Technical field
The present invention relates to radio Historical Monitoring data readback technical fields, can be to magnanimity half structure more particularly, to one kind
Change or unstructured data carry out the radio monitoring data query method of quick real-time playback.
Background technique
Radio monitoring is the important hand of the movable safety guarantee such as megaevent, international conference and real-time oversight inspection
Section, radio monitoring work investigate and prosecute rapidly harmful interference for grasping frequency situation, ensureing radio frequency.
With the development of monitoring device and the refinement of monitoring requirements, the quantity of radio monitoring data is in explosive growth,
Monitoring data of the usual equipment within some months can reach TB data level, and be unstructured or semi-structured monitoring
Record, can no longer meet the needs of data query with traditional storage and processing method；Secondly, empty in order to save storage
Between, the form that radio monitoring data generally use byte stream is stored, and Observation personnel needs to position simultaneously in first time
Show monitoring data.
Currently, the history real-time playback of radio monitoring data, usually there is following two scheme:
Monitoring data are stored one by one using the form of distributed Sqlite database, it is each distributed
Sqlite size is 2G.This method is suitable for the data equipment of low-frequency sampling, and stores the history span very little of monitoring data, past
Toward several days data volumes of only several equipment.
The method mapped using file system, Historical Monitoring data are saved in the form of a file, and the path of file is stored in
Relevant database is simultaneously shown to user, and user inquires record by file one by one.Observation personnel when searching data, need by
Item observes data, to navigate to the observation point of needs, need to expend a large amount of manpower energy, Observation personnel in advance can not general view it is whole
A observation data.
As it can be seen that at present radio monitoring method cannot effectively to the semi-structured or non-structured data of magnanimity into
The quick real-time playback of row.
Summary of the invention
Goal of the invention of the invention be in order to overcome radio monitoring method in the prior art semi-structured to magnanimity or
Person's unstructured data carries out the deficiency of quick real-time playback, provide one kind can to magnanimity semi-structured or unstructured number
According to the radio monitoring data query method for carrying out quick real-time playback.
To achieve the goals above, the invention adopts the following technical scheme:
A kind of radio monitoring data query method, including common interface module, data transmission module, HBase database
With historical data orchestration module；Common interface module, data transmission module, HBase database are sequentially connected, historical data layout
Module is connected with HBase database, and the querying method includes that data layout process, data readback process and playback stopped
Journey；
Data layout process includes the following steps: each record solution of the historical data orchestration module by primary monitoring data
It is honored as a queen, reads each data frame of record, rowkey index, historical data layout are generated according to the frame information of each data frame
Module imports HBase database by each data frame, with the associated rowkey index batch of each data frame by api interface；
Several equipment lists are equipped in HBase database.
Radio monitoring data are loaded into HBase database, and have by the present invention one by one by the rowkey index of design
The repetition recorded when effect prevents monitoring device too fast when repeating the time supports user by record quick search；It is passed by data
The querying condition of defeated module is corresponding with rowkey's, realizes any, quickly real-time of user and positions simultaneously playback of data.
Preferably, the data readback process includes the following steps:
(2-1) common interface module receives the inquiry request of user, and inquiry request is sent to data transmission module；
After (2-2) data transmission module receives inquiry request, with queryid+ " query " Field Inquiry data transmission module
Message table be transferred to step (2-3) if finding message table；
If message table is not present, data transmission module generates message table (5), and message table includes transmission trunking kafka
Producer p1, consumer c1, message queryid+ " query ", producer p2, consumer c2 are subscribed to and subscribes to message queryid+
"request"；
The kafka cluster (6) of (2-3) data transmission module will inquire content and be sent to c1 by p1, and c1 receives inquiry
After content, equipment list corresponding with the inquiry query facility ID of content in each equipment list of HBase is inquired, if do not found
Equipment list then returns to an inquiry failure news format；
If finding equipment list, to inquire record time started T1, record end time T2, service ID and the inquiry of content
The each rowkey index of frequency queries；If can not find and service ID or the matched rowkey index of enquiry frequency, return
Inquire failure news；
If find with service ID and enquiry frequency matches and T1≤record time≤T2 several rowkey indexes,
Each data frame of HBase database is extracted according to each rowkey index, each data frame constitutes the historical record inquired；
(2-4) query messages table is inquired corresponding p2 by c1 and sends out historical record after p2 receives historical record
To c2, historical record is sent to inquiry user by c2.
Preferably, the playback stopped process includes the following steps:
Common interface module receives the inquiry request of user, and common interface module sends inquiry request in the form of an xml
To data transmission module, wherein user query parameter is 0；
After data transmission module receives request, with the message table of queryid+ " query " Field Inquiry data transmission module；
Data orchestration module obtains the request of user by p1, c1, learns that query argument is 0, stops disappearing to user's transmission
Breath；
P1, c1 are exited the subscription to queryid+ " query " message by data orchestration module, and p2, c2 are exited pair
The subscription of queryid_ " request " message；Meanwhile delete c1, p1, c2, p2, message queryid+ " query " and
Queryid_ " request ", and delete message table.
Preferably, the Hash fields of the rowkey index including 1 byte, the timestamp field of 4 bytes, 1
The Load field of the monitoring Services Code field of byte, the monitoring frequency field of 4 bytes and 4 bytes.
The present invention controls the length and content of rowkey index by rowkey index generating algorithm, distinguishes each item meeting
While record, further through each field for shortening rowkey index, memory space is effectively reduced, the inquiry of historical data is made
Efficiency is effectively promoted.
Preferably, it includes timestamp field generation step that the generating process of rowkey index, which includes, Hash fields are generated
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 head of every frame data, obtains every frame number
According to the record time, and by record the time be converted into a millisecond number, by the millisecond number access time stab field.
The millisecond number for recording the time is stored in 4 bytes of timestamp field of rowkey, make to be accurate to millisecond when
Between stamp save and from 17 bytes drop to 4 bytes, be effectively saved the byte space of rowkey, improve search efficiency.
Preferably, the Hash fields generation step is as follows:
By millisecond number with 256 remainders, result is stored in Hash fields historical data orchestration module.
Preferably, the monitoring Services Code field generation step is as follows:
Historical data orchestration module obtains the monitoring Services Code of every frame data, and monitoring Services Code is stored in monitoring clothes
It is engaged in code field.
According to national Specification, radio monitoring needs to meet 26 kinds of monitoring services, starts to encode respectively from 1 to 26,
In deposit monitoring Services Code field；27 to 265 can be used for subsequent expansion.
Preferably, the load code field generation step is as follows:
Historical data orchestration module obtains the frame load of every frame data, reads the value L that frame loads each field；Utilize formula
S=2L+ 1 calculates the transformed value S of each field value, is added the S of each field to obtain S ', by the negative of S ' write-in rowkey index
It carries in code field.
According to national Specification, need to realize 18 options in the load of radio monitoring frame.Therefore it only needs to occupy 18
Position, 14 vacant subsequent expansions are used.
Therefore, that the invention has the following beneficial effects: inquiry velocities is fast, inquiry precision is high, can it is semi-structured to magnanimity or
Person's unstructured data carries out quick real-time playback.
Detailed description of the invention
Fig. 1 is a kind of schematic illustration of the invention；
Fig. 2 is a kind of flow chart of data readback process of the invention；
Fig. 3 is a kind of flow chart of playback stopped process of the invention.
In figure: common interface module 1, data transmission module 2, HBase database 3, historical data orchestration module 4, message
Table 5, kafka cluster 6.
Specific embodiment
The present invention will be further described with reference to the accompanying drawings and detailed description.
Embodiment as shown in Figure 1 be include common interface module 1, data transmission module 2, HBase database 3 and history
Data orchestration module 4；Common interface module, data transmission module, HBase database are sequentially connected, historical data orchestration module
It is connected with HBase database, the querying method includes data layout process, data readback process and playback stopped process；
Data layout process includes the following steps: each record solution of the historical data orchestration module by primary monitoring data
It is honored as a queen, reads each data frame of record, rowkey index, historical data layout are generated according to the frame information of each data frame
Module imports HBase database by each data frame, with the associated rowkey index batch of each data frame by api interface；
Multiple equipment table is equipped in HBase database.
As shown in Fig. 2, data readback process includes the following steps:
Step 100, inquiry request is received
Common interface module receives the inquiry request of user, and common interface module sends inquiry request in the form of an xml
To data transmission module；
Step 200, query messages table
After data transmission module receives request, with the message table of queryid+ " query " Field Inquiry data transmission module,
If finding message table, it is transferred to step 400；
Message table is found, illustrate to receive is inquiry request again, there is message table in data transmission module,
If message table is not present, explanation is to receive inquiry request for the first time, and there are no foundation to disappear in data transmission module
Table is ceased, data transmission module as shown in Figure 1 generates message table 5, and message table includes the producer p1 of transmission trunking kafka, disappears
The person of expense c1, message queryid+ " query ", producer p2, consumer c2 are subscribed to and subscribes to message queryid+ " request "；
Step 300, query history records
The kafka cluster 6 as shown in Figure 1 of data transmission module will inquire content and be sent to c1 by p1, and c1 is received
After inquiring content, equipment list corresponding with the inquiry query facility ID of content in each equipment list of HBase is inquired, if do not had
Equipment list is found, then returns to an inquiry failure news format；
If finding equipment list, to inquire record time started T1, record end time T2, service ID and the inquiry of content
The each rowkey index of frequency queries；If can not find and service ID or the matched rowkey index of enquiry frequency, return
Inquire failure news；
If find with service ID and enquiry frequency matches and T1≤record time≤T2 several rowkey indexes,
Each data frame of HBase database is extracted according to each rowkey index, each data frame constitutes the historical record inquired；
Step 400, historical record is returned to inquiry user
Query messages table is inquired corresponding p2 by c1 and historical record is issued c2 after p2 receives historical record,
Historical record is sent to inquiry user by c2.
The monitoring service of the Hash fields of rowkey index including 1 byte, the timestamp field of 4 bytes, 1 byte
The Load field of code field, the monitoring frequency field of 4 bytes and 4 bytes.
The generating process of rowkey index includes timestamp field generation step, Hash fields generation step, monitoring service
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, obtains every frame data
The time is recorded, and converts a millisecond number for the record time, the millisecond number access time is stabbed into field.
Hash fields generation step:
By millisecond number with 256 remainders, result is stored in Hash fields historical data orchestration module.
Monitor Services Code field generation step:
Historical data orchestration module obtains the monitoring Services Code of every frame data, and monitoring Services Code is stored in monitoring clothes
It is engaged in code field.
Load code field generation step:
Historical data orchestration module obtains the frame load of every frame data, reads the value L that frame loads each field；Utilize formula
S=2L+ 1 calculates the transformed value S of each field value, is added the S of each field to obtain S ', by the negative of S ' write-in rowkey index
It carries in code field.
For example, the monitoring Services Code and monitoring record of certain frame data are < monitoring service-number: 5, (frame head:
20160511121415879, frame load: DT=3DT=6DT=8fre=91.8) >；Indicate the frame data by service-number be 5
Monitoring service and generate, and in frame head the time be 879 milliseconds of 14 minutes and 15 seconds 12 points of on May 11st, 2016, contain in frame load
Option value is 2,6,8, monitoring frequency 91.8MHZ；Historical data orchestration module by frame head 20160511121415879 when
Between be converted into millisecond number 1462896855879, millisecond number 1462896855879 is taken more than 256 for 71；Historical data layout mould
Block is put into 71 in the Hash fields of rowkey, and 1462896855879 are put into the timestamp field of rowkey, and monitoring is taken
Business coding 5 is put into the monitoring Services Code of rowkey, by frame load in 91.8 frequencies be put into the monitoring frequency of rowkey field
In rate field, formula S=2 are utilizedL+ 1 calculates the transformed value S difference of the transformed value S, DT=3DT=6DT=8 of each field value
It is 9,65,257；S '=9+65+257=333；The field value of finally formed rowkey index is
711462896855879591.8333 i.e. rowkey index 14 byte representations Hash fields, timestamp field, monitoring
Services Code field, monitoring frequency field, load code field.
As shown in figure 3, playback stopped process includes the following steps:
Step 1000, inquiry request is received
Common interface module receives the inquiry request of user, and common interface module sends inquiry request in the form of an xml
To data transmission module, wherein user query parameter is 0；
Step 2000, query messages table
After data transmission module receives request, with the message table of queryid+ " query " Field Inquiry data transmission module；
Step 3000, it is returned the result to inquiry user
Data orchestration module obtains the request of user by p1, c1, learns that query argument is 0, stops disappearing to user's transmission
Breath；
Step 4000, message table is deleted
P1, c1 are exited the subscription to queryid+ " query " message by data orchestration module, and p2, c2 are exited pair
The subscription of queryid_ " request " message；Meanwhile delete c1, p1, c2, p2, message queryid+ " query " and
Queryid_ " request ", and delete message table；So far, the stopping request of user is completed.
By experiment calculation, big data real time play-back method of the invention can be with second grade or milli in PB grades of monitoring data
Second grade navigates to data required for user, is quickly presented to the user, while user can be obtained by user query state modulator
The speed for evidence of fetching, realizes the on-demand acquisition data of user under big data environment；Have benefited from rowkey index to load with frame
The design of content the phenomenon that frame is repeated and lost will not occur acquiring when too fast, frame is identical；And pass through rowkey index
Generating algorithm, 50% memory space of the region server of HBase can be saved, reduce the memory space of disk,
By the mapping algorithm of frame load contents to rowkey, the search efficiency of big data is greatly improved.
It should be understood that this embodiment is only used to illustrate the invention but not to limit the scope of the invention.In addition, it should also be understood that,
After having read the content of the invention lectured, those skilled in the art can make various modifications or changes to the present invention, these etc.
Valence form is also fallen within the scope of the appended claims of the present application.
Claims (7)
1. a kind of radio monitoring data query method, characterized in that including common interface module (1), data transmission module
(2), HBase database (3) and historical data orchestration module (4)；Common interface module, data transmission module, HBase database
It is sequentially connected, historical data orchestration module is connected with HBase database, and the querying method includes data layout process, data
Replayed section and playback stopped process；
Data layout process includes the following steps: each record deblocking of the historical data orchestration module by primary monitoring data
Afterwards, each data frame for reading record generates rowkey index, historical data layout mould according to the frame information of each data frame
Block imports HBase database by each data frame, with the associated rowkey index batch of each data frame by api interface；
Several equipment lists are equipped in HBase database；
Data readback process includes the following steps:
(1-1) common interface module receives the inquiry request of user, and inquiry request is sent to data transmission module；
After (1-2) data transmission module receives inquiry request, with disappearing for queryid+ " query " Field Inquiry data transmission module
It ceases table and is transferred to step (1-3) if finding message table；
If message table is not present, data transmission module generates message table (5), and message table includes the production of transmission trunking kafka
Person p1, consumer c1, message queryid+ " query ", producer p2, consumer c2 are subscribed to and subscribes to message queryid+
"request"；
The kafka cluster (6) of (1-3) data transmission module will inquire content and be sent to c1 by p1, and c1 receives inquiry content
Afterwards, equipment list corresponding with the inquiry query facility ID of content in each equipment list of HBase is inquired, if not finding equipment
Table then returns to an inquiry failure news format；
If finding equipment list, to inquire record time started T1, record end time T2, service ID and the enquiry frequency of content
Inquire each rowkey index；If can not find and service ID or the matched rowkey index of enquiry frequency, inquiry is returned
Failure news；
If find with service ID and enquiry frequency matches and T1≤record time≤T2 several rowkey indexes, according to
Each rowkey index extracts each data frame of HBase database, and each data frame constitutes the historical record inquired；
(1-4) query messages table is inquired corresponding p2 by c1 and historical record is issued c2 after p2 receives historical record,
Historical record is sent to inquiry user by c2.
2. radio monitoring data query method according to claim 1, characterized in that the playback stopped process includes
Following steps:
Common interface module receives the inquiry request of user, and inquiry request is sent to number by common interface module in the form of an xml
According to transmission module, wherein user query parameter is 0；
After data transmission module receives request, with the message table of queryid+ " query " Field Inquiry data transmission module；
Data orchestration module obtains the request of user by p1, c1, learns that query argument is 0, stops sending message to user；
P1, c1 are exited the subscription to queryid+ " query " message by data orchestration module, and p2, c2 are exited to queryid_ "
The subscription of request " message；Meanwhile deleting c1, p1, c2, p2, message queryid+ " query " and queryid_ "
Request ", and delete message table.
3. radio monitoring data query method according to claim 1, characterized in that the rowkey index includes 1
The monitoring of the Hash fields of a byte, the timestamp field of 4 bytes, the monitoring Services Code field of 1 byte, 4 bytes
The Load field of frequency field and 4 bytes.
4. radio monitoring data query method according to claim 3, characterized in that the generating process of rowkey index
Including timestamp field generation step, Hash fields generation step, monitoring Services Code field generation step and load coded word
Section generation step；
Timestamp field generation step is as follows: historical data orchestration module reads the frame head of every frame data, obtains every frame data
The time is recorded, and converts a millisecond number for the record time, the millisecond number access time is stabbed into field.
5. radio monitoring data query method according to claim 4, characterized in that the Hash fields generation step
It is as follows:
By millisecond number with 256 remainders, result is stored in Hash fields historical data orchestration module.
6. radio monitoring data query method according to claim 4, characterized in that the monitoring Services Code field
Generation step is as follows:
Historical data orchestration module obtains the monitoring Services Code of every frame data, and monitoring Services Code is stored in monitoring service and is compiled
In code field.
7. according to radio monitoring data query method described in claim 4 or 5 or 6, characterized in that the load coded word
Section generation step is as follows:
Historical data orchestration module obtains the frame load of every frame data, reads the value L that frame loads each field；Utilize formula S=2L
+ 1 calculates the transformed value S of each field value, is added the S of each field to obtain S ', and the load of S ' write-in rowkey index is compiled
In code field.
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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 |
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