CN106033427A - A sampling data verification method and device - Google Patents
A sampling data verification method and device Download PDFInfo
- Publication number
- CN106033427A CN106033427A CN201510106947.5A CN201510106947A CN106033427A CN 106033427 A CN106033427 A CN 106033427A CN 201510106947 A CN201510106947 A CN 201510106947A CN 106033427 A CN106033427 A CN 106033427A
- Authority
- CN
- China
- Prior art keywords
- data
- fragment data
- verification
- source side
- major key
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Landscapes
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention provides a sampling data verification method. After the condition information of current verification is acquired, source end side sharded data and destination side sharded data are acquired from a source end and a destination end respectively, the shards in complete data are judged in order according to the data consistency of the source end side sharded data and destination side sharded data, so that the data verification efficiency is increased on the basis of guaranteeing uniform distribution of samples selected from tables.
Description
Technical field
The present invention relates to communication technical field, particularly to one sampling verification data method.The present invention is same
Time further relate to a kind of sampling verification data equipment.
Background technology
Along with the development of cloud computing technology, the business datum of enterprise needs to use the scene of cloud computing also
More and more.For data base, being carried out cloud computing process needs to carry out Data Migration and data
Verification.
The realization of Data Migration can be divided into 3 stages: the preparation before Data Migration, the enforcement of Data Migration
With the verification after Data Migration.Owing to each user's request is not quite similar, after causing Data Migration, for
The demand of data check also varies.In current data check field, existing method of calibration is all
Full dose verifies.
During realizing the present invention, inventor finds that existing data verification method is all to assume
On the basis of source is consistent with the list structure in destination data base, carry out full dose school for table obtains data
Test.When user's table data volume big especially (such as more than 100,000,000 row), owing to full dose verification needs traversal list
In all records, consume the substantial amounts of time, cause the user cannot quick obtaining check results.
As can be seen here, how to realize according to the demand of source and the practical situation of destination data and user
The quickly amount of taking out of data is verified, becomes the technical problem that those of ordinary skill in the art are urgently to be resolved hurrily.
Summary of the invention
The invention provides a kind of sampling verification data method, be used for improving existing data check efficiency.
The method includes:
Obtaining the conditional information of current verification, described conditional information at least includes minimum major key and default
Burst size；
Source side fragment data is obtained from source according to described conditional information；
Maximum major key and described conditional information according to described source side fragment data obtain mesh from destination
Side fragment data；
The data consistency of described source side fragment data with described destination fragment data is verified,
And whether the data fragmentation currently verified by rear judgement in verification is last burst of partial data；
If so, verification is terminated；
If it is not, using described maximum major key as described minimum major key, and again according to described minimum major key with
And described burst size obtains source side fragment data from source.
Correspondingly, the invention allows for a kind of sampling verification data equipment, including:
Data obtaining module, for obtaining the conditional information of current verification, described conditional information at least includes
Minimum major key and default burst size；
First data acquisition module, for obtaining source side fragment data according to described conditional information from source；
Second data acquisition module, according to maximum major key and the described condition of described source side fragment data
Information obtains destination fragment data from destination；
Correction verification module, for the data one to described source side fragment data Yu described destination fragment data
Cause property verifies, and whether the data fragmentation currently verified by rear judgement in verification is partial data
Last burst；
The most described correction verification module terminates verification；
If it is not, described correction verification module using described maximum major key as described minimum major key, and indicate described letter
Breath acquisition module obtains source side burst according to described minimum major key and described burst size from source again
Data.
As can be seen here, by application technical scheme, after the conditional information obtaining current verification,
Source side fragment data and destination fragment data is obtained respectively from source and destination, and according to source side
The data consistency of fragment data and destination fragment data is successively to each burst in partial data successively
Judge, thus on the basis of ensureing that the sample chosen is evenly distributed in table, improve data school
The efficiency tested.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of a kind of verification data method of sampling that the application proposes；
The schematic flow sheet of a kind of verification of sampling that Fig. 2 is proposed by the application specific embodiment；
The schematic flow sheet of a kind of part data check that Fig. 3 is proposed by the application specific embodiment；
Fig. 4 is the structural representation of a kind of verification data equipment of sampling that the application proposes.
Detailed description of the invention
Because the technical problem that background technology is proposed, the invention provides a kind of sampling verification data side
Method, in order to existing table to carry out uniform sampling verification, thus avoids all records in checklist,
Meet while the accuracy rate demand for verification, substantially increase verification efficiency.
As it is shown in figure 1, the method comprises the steps:
S101, obtains the conditional information of current verification, described conditional information at least include minimum major key and
The burst size preset.
Owing to existing full dose checkschema cannot be applicable to source and the inconsistent field of destination list structure
Scape, particularly when source is identical with destination data transformation, user cannot be to the part number in table
According to carrying out verifying (such as specific row, or specific a few column data), for this kind of situation, the application
Preferred embodiment provides the method for a kind of sampled data verification, and table can not only be sampled verification,
And not peer-data set (heterogeneous sheets, or the table that differs of data volume) can being verified, and energy
Location inconsistency record.Specifically, this embodiment obtains the source table participation verification of described source the most respectively
First metadata information of row, and the second metadata letter of the purpose table participation check column of described destination
Breath, determines participation check column according to described first metadata information and described second metadata information subsequently
Number and data type are the most consistent, and continue to obtain the condition letter of current verification when result is consistent
Breath, if result is inconsistent, terminates verification.
S102, obtains source side fragment data according to described conditional information from source.
In the application preferred embodiment, this step is according to described burst size and default sampling hundred
Proportion by subtraction, obtains request starting point and the record count of the data fragmentation of described current verification；With backward institute
State source and send inquiry request, so that described source returns described source side burst according to described inquiry request
Data.
It should be noted that when taking part data to be sampled verification, owing to filtercondition is to embody
The carrier of " part data check ", therefore entrained in inquiry request content also regards in conditional information and wraps
The content that contains and different, specifically, when including filtercondition in conditional information, inquiry request is carried
Described request starting point, described record count and described filtercondition；When conditional information does not includes
During filtercondition, inquiry request only carries request starting point and record count.
S103, maximum major key and described conditional information according to described source side fragment data are from destination
Obtain destination fragment data.
S104, is carried out the data consistency of described source side fragment data with described destination fragment data
Verification, and whether the data fragmentation currently verified by rear judgement in verification be last of partial data
Burst.
In the application preferred embodiment, concrete method of calibration is ergodic source side fragment data line by line
With destination fragment data, it is judged that whether the field data of source side fragment data and destination fragment data
Unanimously, and according to following result determine whether to pass through:
(1) if source side fragment data is consistent with the field data of destination fragment data, source side is confirmed
Fragment data passes through with the consistency verification of data of destination fragment data；
(2) if source side fragment data is inconsistent with the field data of destination fragment data, source is recorded
Major key information inconsistent between side fragment data and destination fragment data, and according to major key
Information generates and corrects statement for write journal file.
S105, if so, terminates verification.
S106, if it is not, using described maximum major key as described minimum major key, and again according to described minimum
Major key and described burst size obtain source side fragment data from source.
In order to the technological thought of the present invention is expanded on further, in conjunction with concrete application scenarios, to the present invention
Illustrate with " sampling verification " and " part data check " two parts technical scheme respectively:
One, sampling verification
The scheme of this uniform sampling verification it is critical only that the sample ensureing to choose is evenly distributed in table.With
Family can arrange sampling percentage ratio flexibly according to size, thus in checking feature and verification data
Measure two aspects and do a balance.Meanwhile, in order to ensure that sample is uniform, it is (every that this specific embodiment presses major key segmentation
One piece of data is as a burst unit), table is divided into burst one by one, with burst for unit number of request
According to, sampling percentage ratio is applied in each burst, this ensure that samples sources owning in table
Burst and sample data are evenly distributed in table.
In concrete implementation process, the acquisition of sample mainly utilizes the acquisition of data base self to specify Offsets
Mode realize, specifically can use specify size result set SQL syntax.Such as: assume burst
Size is 10000, and sampling 1%, in the most each burst, sample size is 100, the major key starting point of burst
It is 200030, then source query statement is similar to: select*from table where pk >=200030
limit 9900offset 100；Assuming that source returns burst minima is 221000, and maximum is 221150,
Then destination query statement is similar to: select*from table where pk>=221000and pk<
221150。
As in figure 2 it is shown, sampling checking process includes that following steps is rapid:
S201, obtains the sampling percentage ratio of this verification.
S202, according to minimum major key and burst size, generates source query statement and performs.
Specifically, first this step obtains minimum major key and the burst size of this verification of input, subsequently
According to burst size and sampling percentage ratio, calculate this fragment request starting point and record count, and send
Inquiry request is to source, thus obtains fragment data.
S203, generates destination query statement and performs.
Similar with S202, this step sends inquiry request extremely according to minimum major key and the maximum major key of this burst
Destination, thus obtain fragment data.
The fragment data of S204, comparison source line by line and destination.
S205, it is judged that field data is the most consistent, if inconsistent, redirects S206, otherwise redirects S207.
S206, records inconsistent major key information, and statement write journal file is corrected in generation.
S207, it may be judged whether be last burst, if so, redirect S208；Otherwise, verify with this
Maximum major key as the minimum major key verified next time, and redirect S202.
S210, verification terminates.
Two, part data check
During reality is applied, need the part data carrying out verifying may be divided into partial row set
With part row set.Such as, Table A (c1int, c2varchar (10), c3int) has 3 row, is c1, c2 respectively
And c3；Need verification 3 records be respectively (1, ' a', 1), (2, ' b', 2) and (3, ' c', 3), so
A (c1), A (c2), A (c1, c2) etc. are the part row set of Table A；(1, ' and a', 1) }, (1, ' a', 1), (2, ' b', 2) } and
(2, ' and b', 2), (3, ' c', 3) } it is all the partial row set of Table A.For this situation, this specific embodiment is carried
The data verification method of confession can be supported any part row, part row or partial row and part row combination
The data screened verify, and are no longer required for participating in the source and destination end list structure complete of verification
Cause.
In order to realize object above, in the specific embodiment of the application, for the number to be verified of part row
Realize according to by the way of specifying row name by user；Data to be verified for partial row are then that user is led to
Crossing specified requirements expression formula and realize (such as " c1 > 1and c2='a'), program is by attached in SQL statement
When adding the mode of where condition to obtain data.Such as, burst size is 10000, and verification meets condition
The result set of " c1 > 100and c2='a' ", is 200 for burst major key starting point, the query statement class of source
Be similar to: select*from table where pk=200and c1 > 100and c2='a'limit 10000；False
If it is 30000 that source returns burst maximum, then destination query statement is similar to: select*from table
Where pk >=200and pk≤30000.So can get needs in source and destination accurately
Carry out the part data verified.
Specifically, as it is shown on figure 3, part data check flow process includes that following steps is rapid:
S301, input validation column information and row filtercondition expression formula.
S302, compares source the most consistent with destination column data type, if inconsistent, prompting makes mistakes also
Redirect S311, if consistent, redirect S303.
Based on source table acquired in previous step and the metadata information participating in check column of purpose table, should
It is the most consistent with data type that step mainly compares participation check column number.
S303, generates source query statement according to minimum major key, burst size and conditional expression and holds
OK.
For the fragment data of source side, this step first obtain this verification minimum major key, burst big
Little and filtercondition, sends inquiry request subsequently to source, obtains fragment data.
S304, obtains minimum major key and maximum major key according to source fragment data.
S305, generates destination query statement and performs.
For the fragment data of destination, after the maximum major key that S304 gets this burst, it is somebody's turn to do
Step, according to the maximum major key of this burst, minimum major key and filtercondition, sends inquiry request to purpose
End, obtains fragment data.
The fragment data of S306, comparison source line by line and destination.
S307, record information inconsistent in record data fragmentation.
This step essentially consists in and judges that field data is the most consistent, if being found to have inconsistent field data,
Then record inconsistent major key information, and statement write journal file is corrected in generation.
S308, it may be judged whether be last burst, if so, redirect S309；Otherwise, verify with this
Maximum major key as the minimum major key verified next time, redirect S303；
S309, verification terminates.
For reaching above technical purpose, the application also proposed a kind of sampling verification data equipment, such as Fig. 4
Shown in, including:
Data obtaining module 410, for obtaining the conditional information of current verification, described conditional information at least wraps
Include minimum major key and default burst size；
First data acquisition module 420, for obtaining source side burst number according to described conditional information from source
According to；
Second data acquisition module 430, according to maximum major key and the described bar of described source side fragment data
Part information obtains destination fragment data from destination；
Correction verification module 440, for the data to described source side fragment data Yu described destination fragment data
Concordance verifies, and whether the data fragmentation currently verified by rear judgement in verification is partial data
Last burst；
The most described correction verification module 440 terminates verification；
If it is not, described correction verification module 440 using described maximum major key as described minimum major key, and indicate institute
State data obtaining module and again obtain source side according to described minimum major key and described burst size from source
Fragment data.
In concrete application scenarios, described correction verification module specifically for:
Travel through described source side fragment data and described destination fragment data line by line, it is judged that described source side
Fragment data is the most consistent with the field data of described destination fragment data；
If consistent, described correction verification module confirms described source side fragment data and described destination fragment data
Consistency verification of data pass through；
If inconsistent, source side fragment data described in described correction verification module record and described destination burst number
Major key information inconsistent between according to, and generate for writing ordering of journal file according to described major key information
Positive statement.
In concrete application scenarios, also include:
Metadata acquisition module, participates in first yuan of number of check column for obtaining the source table of described source respectively
It is believed that breath, and the purpose table of described destination participates in the second metadata information of check column；
Judge module, for determining according to described first metadata information and described second metadata information
Participate in check column number and data type is the most consistent；
If consistent, described judge module indicates described data obtaining module to continue to obtain the condition of current verification
Information；
If inconsistent, described judge module terminates verification.
In concrete application scenarios, described first data acquisition module specifically for:
According to described burst size and default sampling percentage ratio, the data obtaining described current verification are divided
The request starting point of sheet and record count；
Inquiry request is sent, so that described source returns to described source according to described inquiry request to described source
Side fragment data；
Wherein, described inquiry request carries described request starting point and described record count；Or, described
Inquiry request carries described request starting point, described record count and described filtercondition.
Through the above description of the embodiments, those skilled in the art is it can be understood that arrive this
Bright can be realized by hardware, it is also possible to the mode of the general hardware platform adding necessity by software realizes.
Based on such understanding, technical scheme can embody with the form of software product, and this is soft
Part product can be stored in a non-volatile memory medium, and (can be CD-ROM, USB flash disk, movement be hard
Dish etc.) in, including some instructions with so that a computer equipment (can be personal computer, take
Business device, or the network equipment etc.) each implements the method described in scene to perform the present invention.
It will be appreciated by those skilled in the art that accompanying drawing is a schematic diagram being preferable to carry out scene, in accompanying drawing
Module or flow process not necessarily implement necessary to the present invention.
It will be appreciated by those skilled in the art that the module in the device implemented in scene can be according to implementing scene
Describe and carry out being distributed in the device implementing scene, it is also possible to carry out respective change and be disposed other than this enforcement
In one or more devices of scene.The module of above-mentioned enforcement scene can merge into a module, it is possible to
To be further split into multiple submodule.
The invention described above sequence number, just to describing, does not represent the quality implementing scene.
The several scenes that are embodied as being only the present invention disclosed above, but, the present invention is not limited to
This, the changes that any person skilled in the art can think of all should fall into protection scope of the present invention.
Claims (8)
1. a sampling verification data method, it is characterised in that including:
Obtaining the conditional information of current verification, described conditional information at least includes minimum major key and default
Burst size；
Source side fragment data is obtained from source according to described conditional information；
Maximum major key and described conditional information according to described source side fragment data obtain mesh from destination
Side fragment data；
The data consistency of described source side fragment data with described destination fragment data is verified,
And whether the data fragmentation currently verified by rear judgement in verification is last burst of partial data；
If so, verification is terminated；
If it is not, using described maximum major key as described minimum major key, and again according to described minimum major key with
And described burst size obtains source side fragment data from source.
2. the method for claim 1, it is characterised in that to described source side fragment data and institute
The data consistency stating destination fragment data verifies, particularly as follows:
Travel through described source side fragment data and described destination fragment data line by line, it is judged that described source side
Fragment data is the most consistent with the field data of described destination fragment data；
If consistent, confirm the data consistency of described source side fragment data and described destination fragment data
Verification is passed through；
If inconsistent, record between described source side fragment data and described destination fragment data inconsistent
Major key information, and generate according to described major key information and correct statement for write journal file.
3. the method for claim 1, it is characterised in that described conditional information also includes filtering rod
Part, before the minimum major key obtaining current verification and default burst size, also includes:
The source table obtaining described source respectively participates in the first metadata information of check column, and described purpose
The purpose table of end participates in the second metadata information of check column；
Participation check column number is determined according to described first metadata information and described second metadata information
And data type is the most consistent；
If consistent, continue to obtain the conditional information of current verification；
If inconsistent, terminate verification.
4. the method as described in any one of claim 1-3, it is characterised in that according to described conditional information
Source side fragment data is obtained from source, particularly as follows:
According to described burst size and default sampling percentage ratio, the data obtaining described current verification are divided
The request starting point of sheet and record count；
Inquiry request is sent, so that described source returns to described source according to described inquiry request to described source
Side fragment data；
Wherein, described inquiry request carries described request starting point and described record count；Or, described
Inquiry request carries described request starting point, described record count and described filtercondition.
5. a sampling verification data equipment, it is characterised in that including:
Data obtaining module, for obtaining the conditional information of current verification, described conditional information at least includes
Minimum major key and default burst size；
First data acquisition module, for obtaining source side fragment data according to described conditional information from source；
Second data acquisition module, according to maximum major key and the described condition of described source side fragment data
Information obtains destination fragment data from destination；
Correction verification module, for the data one to described source side fragment data Yu described destination fragment data
Cause property verifies, and whether the data fragmentation currently verified by rear judgement in verification is partial data
Last burst；
The most described correction verification module terminates verification；
If it is not, described correction verification module using described maximum major key as described minimum major key, and indicate described letter
Breath acquisition module obtains source side burst according to described minimum major key and described burst size from source again
Data.
6. equipment as claimed in claim 5, it is characterised in that described correction verification module specifically for:
Travel through described source side fragment data and described destination fragment data line by line, it is judged that described source side
Fragment data is the most consistent with the field data of described destination fragment data；
If consistent, described correction verification module confirms described source side fragment data and described destination fragment data
Consistency verification of data pass through；
If inconsistent, source side fragment data described in described correction verification module record and described destination burst number
Major key information inconsistent between according to, and generate for writing ordering of journal file according to described major key information
Positive statement.
7. equipment as claimed in claim 6, it is characterised in that also include:
Metadata acquisition module, participates in first yuan of number of check column for obtaining the source table of described source respectively
It is believed that breath, and the purpose table of described destination participates in the second metadata information of check column；
Judge module, for determining according to described first metadata information and described second metadata information
Participate in check column number and data type is the most consistent；
If consistent, described judge module indicates described data obtaining module to continue to obtain the condition of current verification
Information；
If inconsistent, described judge module terminates verification.
8. the equipment as described in any one of claim 5-7, it is characterised in that described first data acquisition
Module specifically for:
According to described burst size and default sampling percentage ratio, the data obtaining described current verification are divided
The request starting point of sheet and record count；
Inquiry request is sent, so that described source returns to described source according to described inquiry request to described source
Side fragment data；
Wherein, described inquiry request carries described request starting point and described record count；Or, described
Inquiry request carries described request starting point, described record count and described filtercondition.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510106947.5A CN106033427A (en) | 2015-03-11 | 2015-03-11 | A sampling data verification method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510106947.5A CN106033427A (en) | 2015-03-11 | 2015-03-11 | A sampling data verification method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106033427A true CN106033427A (en) | 2016-10-19 |
Family
ID=57150506
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510106947.5A Pending CN106033427A (en) | 2015-03-11 | 2015-03-11 | A sampling data verification method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106033427A (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108234583A (en) * | 2016-12-22 | 2018-06-29 | 中国移动通信有限公司研究院 | A kind of method and apparatus for carrying out data check |
| CN108268496A (en) * | 2016-12-30 | 2018-07-10 | 北京国双科技有限公司 | The method of calibration and device of data |
| CN108897806A (en) * | 2018-06-15 | 2018-11-27 | 东软集团股份有限公司 | Comparison of data consistency method, apparatus, storage medium and electronic equipment |
| CN109213431A (en) * | 2017-07-04 | 2019-01-15 | 阿里巴巴集团控股有限公司 | The consistency detecting method and device and electronic equipment of more copy datas |
| CN109710651A (en) * | 2018-12-25 | 2019-05-03 | 成都四方伟业软件股份有限公司 | Data type recognition methods and device |
| CN109831487A (en) * | 2019-01-08 | 2019-05-31 | 平安科技（深圳）有限公司 | Fragmented file verification method and terminal equipment |
| CN111367886A (en) * | 2020-03-02 | 2020-07-03 | 中国邮政储蓄银行股份有限公司 | Method and device for data migration in database |
| CN113064909A (en) * | 2021-06-03 | 2021-07-02 | 广州宸祺出行科技有限公司 | Data synchronization verification method and device |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102882961A (en) * | 2012-09-24 | 2013-01-16 | 华为技术有限公司 | Data verifying method and server |
| CN104376055A (en) * | 2014-11-04 | 2015-02-25 | 国电南瑞科技股份有限公司 | Large-scale data comparison method based on fragmentation technology |
-
2015
- 2015-03-11 CN CN201510106947.5A patent/CN106033427A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102882961A (en) * | 2012-09-24 | 2013-01-16 | 华为技术有限公司 | Data verifying method and server |
| CN104376055A (en) * | 2014-11-04 | 2015-02-25 | 国电南瑞科技股份有限公司 | Large-scale data comparison method based on fragmentation technology |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108234583A (en) * | 2016-12-22 | 2018-06-29 | 中国移动通信有限公司研究院 | A kind of method and apparatus for carrying out data check |
| CN108268496A (en) * | 2016-12-30 | 2018-07-10 | 北京国双科技有限公司 | The method of calibration and device of data |
| CN109213431B (en) * | 2017-07-04 | 2022-05-13 | 阿里巴巴集团控股有限公司 | Consistency detection method and device for multi-copy data and electronic equipment |
| CN109213431A (en) * | 2017-07-04 | 2019-01-15 | 阿里巴巴集团控股有限公司 | The consistency detecting method and device and electronic equipment of more copy datas |
| CN108897806A (en) * | 2018-06-15 | 2018-11-27 | 东软集团股份有限公司 | Comparison of data consistency method, apparatus, storage medium and electronic equipment |
| CN109710651A (en) * | 2018-12-25 | 2019-05-03 | 成都四方伟业软件股份有限公司 | Data type recognition methods and device |
| CN109710651B (en) * | 2018-12-25 | 2020-11-10 | 成都四方伟业软件股份有限公司 | Data type identification method and device |
| CN109831487A (en) * | 2019-01-08 | 2019-05-31 | 平安科技（深圳）有限公司 | Fragmented file verification method and terminal equipment |
| WO2020143317A1 (en) * | 2019-01-08 | 2020-07-16 | 平安科技（深圳）有限公司 | Fragmented file verification method and terminal device |
| CN109831487B (en) * | 2019-01-08 | 2022-05-13 | 平安科技（深圳）有限公司 | Fragmented file verification method and terminal equipment |
| CN111367886A (en) * | 2020-03-02 | 2020-07-03 | 中国邮政储蓄银行股份有限公司 | Method and device for data migration in database |
| CN111367886B (en) * | 2020-03-02 | 2024-01-19 | 中国邮政储蓄银行股份有限公司 | Method and device for data migration in database |
| CN113064909A (en) * | 2021-06-03 | 2021-07-02 | 广州宸祺出行科技有限公司 | Data synchronization verification method and device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106033427A (en) | A sampling data verification method and device | |
| Nuijten et al. | “statcheck”: Automatically detect statistical reporting inconsistencies to increase reproducibility of meta‐analyses | |
| CN110022315B (en) | Weight management method, device and equipment in block chain type account book | |
| WO2020164263A1 (en) | Librgw performance test method and apparatus, and computer device | |
| CA3161753A1 (en) | Blockchain-smart-contract debugging and releasing method and system thereof | |
| WO2020199713A1 (en) | Data verification method, system, apparatus, and device | |
| TWI762851B (en) | Data verification method, system, device and equipment in blockchain ledger | |
| WO2019038839A1 (en) | Blockchain management device, blockchain management method, and program | |
| CN110109824B (en) | Big data autoregression test method and device, computer equipment and storage medium | |
| WO2020232883A1 (en) | Script defect scanning method and apparatus, computer device and storage medium | |
| CN106126634B (en) | A kind of master data duplicate removal treatment method and system based on live streaming industry | |
| CN110097331A (en) | Method of calibration, device, storage medium and the electronic equipment of business form | |
| CN109324958A (en) | A kind of REST unifies method of calibration, device, equipment and readable storage medium storing program for executing | |
| CN106446064A (en) | Data conversion method and device | |
| CN105824926A (en) | Method for dynamically selecting and calling external system interface | |
| CN104111919A (en) | Certificate compilation method for measuring and testing service system | |
| US11138091B2 (en) | Regression analysis platform | |
| CN104318164B (en) | A kind of checking method of application program | |
| CN112070637A (en) | Case processing method and device based on block chain | |
| CN103838871A (en) | Method for checking nuclear power plant safety level DCS S-VDU process file | |
| CN105955670A (en) | Method and system for checking repeated list data in application | |
| TW201237428A (en) | System and method for testing a high-definition multimedia interface | |
| TW201719454A (en) | Data processing server and data processing method thereof | |
| CN107392745B (en) | Reconciliation data fragmentation processing method | |
| CN113419957B (en) | Rule-based big data offline batch processing performance capacity scanning method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20161019 |