CN107506384A - The discovery modification method and system of a kind of Data Consistency - Google Patents
The discovery modification method and system of a kind of Data Consistency Download PDFInfo
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- CN107506384A CN107506384A CN201710610966.0A CN201710610966A CN107506384A CN 107506384 A CN107506384 A CN 107506384A CN 201710610966 A CN201710610966 A CN 201710610966A CN 107506384 A CN107506384 A CN 107506384A
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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
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
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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
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/23—Updating
- G06F16/2365—Ensuring data consistency and integrity
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Abstract
The invention discloses the discovery modification method and system of a kind of Data Consistency.The discovery modification method of the Data Consistency comprises the following steps：Step 1：Gather data to be tested；Step 2：To preserve the mark of data to be tested increase by first into document form；Step 3：By data inputting distributed memory system to be tested, and examine the data of typing and data to be tested whether corresponding and carry out statistical analysis, and judge whether statistic analysis result is correct；Step 4：If examining, the data of typing are corresponding with data to be tested and statistic analysis result is correct, terminate；If examining the data of typing corresponding with data to be tested and statistic analysis result mistake, acquisition data are reanalysed from distributed storage, and to examining, logging data is corresponding with data to be tested and statistical analysis is correct.The data lost or repeated in data acquisition can be found and find out in time by the present processes, for preferably analyzing abnormal cause, solving problem.
Description
Technical field
The present invention relates to Data acquisition and issuance technical field, is repaiied more particularly to a kind of discovery of Data Consistency
The discovery update the system of correction method and Data Consistency.
Background technology
Big data acquisition process typically can all be related to the processing procedure of multiple links, for example data receiver, caching, data are clear
Wash, the enhancing of duplicate removal, data, data statistic analysis etc..Therefore in actual applications, often because a variety of causes occurs that data are lost
The phenomenon lost or repeated.Factor data amount is huge (each second handles-several ten million datas up to a million), when there is abnormal problem, very
Hardly possible positions abnormal link and finds out and recover abnormal data.
There are many theoretical researches at present and realize data consistency guarantee technology, such as distributing real time system scheme,
Single processing unit realizes that exception retries operation (to realize the idempotence repeatedly retried).But find and recover in abnormal data
The theoretical research of aspect also has very big blank.Common processing method has：
1st, loss or duplicate data are found by the fluctuation Novel presentation of business statistics information.Such as the statistics of certain day
Oscillogram and predicted value it is widely different.
2nd, by spot-check sample data, find to lose the phenomenon of data.
When the 3rd, searching abnormal link, common processing method is to build a set of similar test environment, is operated on artificial line,
First analog acquisition network log, whether have loss of data, be examined in the data cleansing link (number of discarding if confirming the file of generation
According to+output data it is whether consistent with data in file), data buffer storage link whether lose data ..., investigate data in turn.
This processing mode needs the responsible person of links to coordinate and could complete, and in many cases, environmental data amount on line
Greatly, the reason for influence factor is more can not reappear problem.
4th, when data are repaired, operated because being unable to idempotent, or the source of abnormal data can not be found (for example can to count
How many data are lost, but do not know these data sources in which original document), frequently result in the unrepairables of data.
Therefore, it is badly in need of at least one drawbacks described above for having a kind of technical scheme to overcome or at least mitigate prior art.
The content of the invention
It is an object of the invention to provide a kind of discovery modification method of Data Consistency to overcome or at least mitigate
At least one drawbacks described above of prior art.
To achieve the above object, this application provides a kind of discovery modification method of Data Consistency, the data
The discovery modification method of consistency problem comprises the following steps：Step 1：Data to be tested are gathered, and data to be tested are preserved
Into document form；Step 2：To preserve the mark of data to be tested increase by first into document form；Step 3：Will the mark of increase by first
The data inputting distributed memory system to be tested of note, and examine the data of typing and data to be tested whether corresponding and to increasing
Add the data to be tested of the first mark to carry out statistical analysis by the first dimensional information, and judge statistic analysis result whether just
Really；Step 4：If the data of the inspection typing are corresponding with data to be tested and statistic analysis result is correct, terminate；It is if described
Examine the data of typing corresponding with data to be tested and statistic analysis result mistake, then obtaining data from distributed storage is carried out
Reanalyse, until the data of the inspection typing are corresponding with data to be tested and statistic analysis result is correct.
Preferably, described first it is labeled as：Increase filename, line number attribute for the data to be tested, wherein, line number is pressed
Default regular increase, row id include filename and line number.
Preferably, it is described to examine the data of typing whether corresponding specially with data to be tested：Judge typing to distribution
Whether total line number of the data in storage system and total line number of data to be tested are consistent, if so, then judging to examine the number of typing
According to corresponding with data to be tested；If it is not, then carry out in next step；According to the default rule, missing is found in the data of typing
Or the line number repeated, and obtain abnormal data information.
Preferably, the distributed memory system includes hbase, ES, HDFS；
When in the multiple distributed memory systems of typing, the data of typing in each distributed memory system are examined with treating
Whether inspection data corresponds to.
Preferably, the abnormal data information includes：
The missing line number in total line number, distributed memory system in filename, total line number, typing distributed memory system
And whether carry out abnormal marking.
Preferably, the step 3 is as needed, can preset sart point in time and typing scope.
Present invention also provides a kind of discovery update the system of Data Consistency, the hair of the Data Consistency
Existing update the system includes：Acquisition module, the acquisition module are used to gather data to be tested, and data to be tested preservation is written
Part form；Mark increase module, the mark increase module are used to increase by first for the data to be tested preserved into document form
Mark；Recording module, the recording module are used to that the data inputting distributed memory system to be tested of the first mark will to be increased；Number
It is judged that module, whether the data judge module is used to examine the data of typing corresponding with data to be tested；Statistical analysis is sentenced
Disconnected module, the statistical analysis judge module are used to carry out the data to be tested of the mark of increase by first by the first dimensional information
Statistical analysis, and judge whether statistic analysis result is correct；Processing module, the processing module are used for according to data judge module
And the result of statistical analysis judge module transmission is handled；If it is described examine typing data it is corresponding with data to be tested and
Statistic analysis result is correct, then terminates；If the data of the inspection typing are corresponding with data to be tested and statistic analysis result is wrong
By mistake, then data are obtained from distributed storage to be reanalysed.
Preferably, the statistical analysis judge module includes：Total line number judge module, total line number judge module are used for
Judge whether total line number of the data in typing to distributed memory system is consistent with total line number of data to be tested；Default rule
Module, the default rule module are used to preset rule；Searching modul, the searching modul are used for according to the default rule,
Missing or the line number repeated are found in the data of typing, and obtains abnormal data information.
Preferably, the statistical analysis judge module further comprises：Time point selection module, the time point selection mould
Block is used to preset sart point in time；Typing range selection module, the typing range selection module are used for Select input scope.
It can find and find out the data lost or repeated in data acquisition in time by the present processes, be used for
Preferably analysis abnormal cause, solution problem.And original document can be found out according to abnormal data, recover data, so as to ensure
The final consistency of data.
Brief description of the drawings
Fig. 1 is the schematic flow sheet of the discovery modification method of the Data Consistency of one embodiment of the invention.
Embodiment
To make the purpose, technical scheme and advantage that the present invention is implemented clearer, below in conjunction with the embodiment of the present invention
Accompanying drawing, the technical scheme in the embodiment of the present invention is further described in more detail.Described embodiment is the present invention one
Section Example, rather than whole embodiments.The embodiments described below with reference to the accompanying drawings are exemplary, it is intended to is used for
The present invention is explained, and is not considered as limiting the invention.Based on the embodiment in the present invention, those of ordinary skill in the art
The every other embodiment obtained under the premise of creative work is not made, belongs to the scope of protection of the invention.Below
Embodiments of the invention are described in detail with reference to accompanying drawing.
Fig. 1 is the schematic flow sheet of the discovery modification method of the Data Consistency of one embodiment of the invention.
The discovery modification method of Data Consistency as shown in Figure 1 comprises the following steps：
Step 1：Data to be tested are gathered, and data to be tested are preserved into document form；
Step 2：To preserve the mark of data to be tested increase by first into document form；
Step 3：The data inputting distributed memory system to be tested of the first mark will be increased, and examine the data of typing with
Whether data to be tested are corresponding and carry out statistical analysis by the first dimensional information to the data to be tested that increase by first marks,
And judge whether statistic analysis result is correct；
Step 4：If the data of the inspection typing are corresponding with data to be tested and statistic analysis result is correct, terminate；
If it is described examine typing data are corresponding with data to be tested and statistic analysis result mistake, from distributed storage
Middle acquisition data are reanalysed, until the inspection typing data are corresponding with data to be tested and statistic analysis result just
Really.
It is understood that in an alternative embodiment, it can not judge whether that idempotent operates, all be recorded using deletion
The data that enter simultaneously will increase the data inputting to be tested of the first mark until examining the data of typing and data pair to be tested again
Should.
If the data of the inspection typing are not corresponding with data to be tested and statistic analysis result is incorrect, for deleting
The data of typing simultaneously will increase the data inputting to be tested of the first mark until the data and data to be tested of inspection typing again
Data of the data corresponding or that typing before the first data input to be tested marked covers will be increased again up to examining typing
It is corresponding with data to be tested；And re-start statistical analysis.Specifically, delete statistical result and re-start statistical analysis.
It can find and find out the data lost or repeated in data acquisition in time by the present processes, be used for
Preferably analysis abnormal cause, solution problem.And original document can be found out according to abnormal data, recover data, so as to ensure
The final consistency of data.
In addition, in the case of finding that line number is incorrect, it is also convenient for user and finds the problem, for example, it is possible to be
Original document (data of collection) is problematic, the problem of so as to find in original document.
In the present embodiment, described first it is labeled as：Increase filename, line number attribute for the data to be tested, wherein,
Line number presses default regular increase, and row id includes filename, line number and ensures idempotent operation.
In the present embodiment, it is described to examine the data of typing whether corresponding specially with data to be tested：
Judge whether total line number of the data in typing to distributed memory system is consistent with total line number of data to be tested,
If so, then judge to examine the data of typing corresponding with data to be tested；If it is not, then carry out in next step；
According to the default rule, missing or the line number repeated are found in the data of typing, and obtains abnormal data letter
Breath.In the present embodiment, duplicate data or missing data occurs during non-idempotent operation；Idempotent can only have missing number when operating
According to.
In the present embodiment, the distributed memory system includes hbase, ES, HDFS；
When in the multiple distributed memory systems of typing, the data of typing in each distributed memory system are examined with treating
Whether inspection data corresponds to.
In the present embodiment, the abnormal data information includes：
The missing line number in total line number, distributed memory system in filename, total line number, typing distributed memory system
And whether carry out abnormal marking.
In the present embodiment, the step 3 is as needed, can preset sart point in time and typing scope.
The application is further elaborated by way of example below, it is to be understood that the citing is not formed pair
Any restrictions of the application.
Embodiment 1：Require to look up Data Consistency during two file typings.
First, step 1 is carried out, gathers above-mentioned two file, and data to be tested are preserved into document form；
Step 2：To preserve the mark of data to be tested increase by first into document form；Specifically, in the present embodiment, add
The first mark added includes increasing in filename data increase filename and line number in line number, file, specific as follows：
It is as follows to increase line number in filename：
Bbd.com.2017050901.log is changed into bbd.com.2017050901.log_3；
Bbd.com.2017050902.log is changed into bbd.com.2017050902.log_4；
It is the often row addition file_name in this document, specifically in this document bbd.com.2017050901.log_3
For：
| file_name | rowno |
| bbd.com.2017050901.log_3 | 1 |
| bbd.com.2017050901.log_3 | 2 |
| bbd.com.2017050901.log_3 | 3 |
| file_name |
| bbd.com.2017050901.log_3 |
| bbd.com.2017050901.log_3 |
| bbd.com.2017050901.log_3 |
And be the often row addition rowno in this document, it is specially：
| rowno |
| 1 |
| 2 |
| 3 |
It is similar with last file in this document bbd.com.2017050901.log_4 additions, it will not be repeated here.Specifically
It is as follows：
Step 3：The data inputting distributed memory system to be tested of the first mark will be increased.Specifically, the letter after typing
Breath is as follows：
And filename and the line number row of two above-mentioned files.
According to step 3, examine the data of typing and data to be tested whether corresponding and to the to be checked of the mark of increase by first
Test data and statistical analysis is carried out by the first dimensional information, and judge whether statistic analysis result is correct.
From above- mentioned information as can be seen that examining the data of typing and data analysis to be tested as follows：
Original document number is identical with the data file number of typing.
Wherein, the total line numbers of file bbd.com.2017050901.log_3 are 3, the line number of no missing and the row repeated
Number, i.e., the data of file bbd.com.2017050901.log_3 typings are corresponding with data to be tested.
The total line numbers of file bbd.com.2017050902.log_4 are 4, and the line number (rowno) of missing is 3, the line number repeated
(rowno) it is 4, i.e. the data of file bbd.com.2017050901.log_3 typings are not corresponding with data to be tested.
As needed, data are obtained from distributed storage to be reanalysed.Specifically, again by file
Bbd.com.2017050902.log_4 obtains data from distributed storage and reanalysed, until analysis result is inspection
The data of typing are corresponding with data to be tested.
It is specific as follows on statistical analysis：
The data content and data content to be tested for judging typing include following information：
Domain name, filename, line number, line number, size.
In the present embodiment, it is specific as follows：
| Filename | Domain name | Filename | Line number | Sum (line number) | Size (bytes) | Whether pass through |
| bbd.com2017050901.log_3 | bbd.com | bbd.com.2017050901.log_3 | 3 | 6 | 100 | It is |
| bbd.com.2017050902.log_4 | bbd.com | bbd.com.2017050902.log_4 | 4 | 11 | 1540 | It is no |
From
It can be found that in this file of bbd.com.2017050902.log_4 in above-mentioned judgement, line number summation is in theory
It should be 10, and be now 11, therefore, the mistake of statistics.
Now, statistics is carried out again up to just according to the data after acquisition data are reanalysed from distributed storage
Really.
Present invention also provides a kind of discovery update the system of Data Consistency, the hair of the Data Consistency
Existing update the system include acquisition module, mark increase module, recording module, data judge module, statistical analysis judge module with
And processing module, wherein, acquisition module is used to gather data to be tested, and data to be tested are preserved into document form；Mark
Increase module to be used for preserve the mark of data to be tested increase by first into document form；Recording module is used for will the mark of increase by first
The data inputting distributed memory system to be tested of note；Data judge module is used to examine the data of typing and data to be tested to be
No correspondence；Statistical analysis judge module is used to count the data to be tested of the mark of increase by first by the first dimensional information
Analysis, and judge whether statistic analysis result is correct；Processing module is used to be judged according to data judge module and statistical analysis
The result of module transmission is handled；If examining, the data of typing are corresponding with data to be tested and statistic analysis result is correct,
Terminate；If examining the data of typing corresponding with data to be tested and statistic analysis result mistake, obtained from distributed storage
Data are reanalysed, until examining, the data of typing are corresponding with data to be tested and statistic analysis result is correct.
In the present embodiment, statistical analysis judge module includes：Total line number judge module, default rule module and lookup
Module, total line number judge module are used for the total line number for judging the data in typing to distributed memory system and data to be tested
Whether total line number is consistent；Default rule module is used to preset rule；Searching modul is used for according to default rule, in the data of typing
In find missing or the line number repeated, and obtain abnormal data information.
In the present embodiment, statistical analysis judge module further comprises：Time point selection module and the choosing of typing scope
Module is selected, time point selection module is used to preset sart point in time；Typing range selection module is used for Select input scope.
It is last it is to be noted that：The above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations.To the greatest extent
The present invention is described in detail with reference to the foregoing embodiments for pipe, it will be understood by those within the art that：It is still
Technical scheme described in foregoing embodiments can be modified, or which part technical characteristic is equally replaced
Change；And these modifications or replacement, the essence of appropriate technical solution is departed from the essence of various embodiments of the present invention technical scheme
God and scope.
Claims (9)
1. the discovery modification method of a kind of Data Consistency, it is characterised in that the discovery of the Data Consistency is repaiied
Correction method comprises the following steps：
Step 1：Data to be tested are gathered, and data to be tested are preserved into document form；
Step 2：To preserve the mark of data to be tested increase by first into document form；
Step 3：The data inputting distributed memory system to be tested of the first mark will be increased, and examine the data of typing with it is to be checked
Test whether data are corresponding and the data to be tested to increasing by the first mark carry out statistical analysis by the first dimensional information, and sentence
Whether disconnected statistic analysis result is correct；
Step 4：If the data of the inspection typing are corresponding with data to be tested and statistic analysis result is correct, terminate；
If it is described examine typing data are corresponding with data to be tested and statistic analysis result mistake, obtained from distributed storage
Access is according to being reanalysed, until the data of the inspection typing are corresponding with data to be tested and statistic analysis result is correct.
2. the discovery modification method of Data Consistency as claimed in claim 1, it is characterised in that first mark
For：Increase filename, line number attribute for the data to be tested, wherein, line number presses default regular increase, and row id includes filename
And line number.
3. the discovery modification method of Data Consistency as claimed in claim 2, it is characterised in that the inspection typing
Whether data are corresponding with data to be tested to be specially：
Judge whether total line number of the data in typing to distributed memory system is consistent with total line number of data to be tested, if
It is then to judge to examine the data of typing corresponding with data to be tested；If it is not, then carry out in next step；
According to the default rule, missing or the line number repeated are found in the data of typing, and obtain abnormal data information.
4. the discovery modification method of Data Consistency as claimed in claim 3, it is characterised in that the distributed storage
System includes hbase, ES, HDFS；
When in the multiple distributed memory systems of typing, examine in each distributed memory system the data of typing with it is to be tested
Whether data correspond to.
5. the discovery modification method of Data Consistency as claimed in claim 3, it is characterised in that the abnormal data letter
Breath includes：
Missing line number in total line number, distributed memory system in filename, total line number, typing distributed memory system and
Whether abnormal marking is carried out.
6. the discovery modification method of Data Consistency as claimed in claim 1, it is characterised in that step 3 basis
Need, sart point in time and typing scope can be preset.
7. the discovery update the system of a kind of Data Consistency, it is characterised in that the discovery of the Data Consistency is repaiied
Positive system includes：
Acquisition module, the acquisition module is used to gather data to be tested, and data to be tested are preserved into document form；
Mark increase module, the mark increase module are used for preserve the mark of data to be tested increase by first into document form
Note；
Recording module, the recording module are used to that the data inputting distributed memory system to be tested of the first mark will to be increased；
Whether data judge module, the data judge module are used to examine the data of typing corresponding with data to be tested；
Statistical analysis judge module, the statistical analysis judge module are used for the data to be tested of the mark of increase by first by the
Dimension information carries out statistical analysis, and judges whether statistic analysis result is correct；
Processing module, the processing module are used to be entered according to the result of data judge module and statistical analysis judge module transmission
Row processing；
If the data of the inspection typing are corresponding with data to be tested and statistic analysis result is correct, terminate；
If it is described examine typing data are corresponding with data to be tested and statistic analysis result mistake, obtained from distributed storage
Access is according to being reanalysed, until the data of the inspection typing are corresponding with data to be tested and statistic analysis result is correct.
8. the discovery update the system of Data Consistency as claimed in claim 7, it is characterised in that the statistical analysis is sentenced
Disconnected module includes：
Total line number judge module, total line number judge module is for judging the total of the data in typing to distributed memory system
Whether line number is consistent with total line number of data to be tested；
Default rule module, the default rule module are used to preset rule；
Searching modul, the searching modul are used for according to the default rule, find what is lacked or repeat in the data of typing
Line number, and obtain abnormal data information.
9. the discovery update the system of Data Consistency as claimed in claim 8, it is characterised in that the statistical analysis is sentenced
Disconnected module further comprises：
Time point selection module, the time point selection module are used to preset sart point in time；
Typing range selection module, the typing range selection module are used for Select input scope.
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