CN108897765A - A kind of batch data introduction method and its system - Google Patents
A kind of batch data introduction method and its system Download PDFInfo
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- CN108897765A CN108897765A CN201810508833.7A CN201810508833A CN108897765A CN 108897765 A CN108897765 A CN 108897765A CN 201810508833 A CN201810508833 A CN 201810508833A CN 108897765 A CN108897765 A CN 108897765A
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Abstract
The present invention relates to data publication technical field, a kind of batch data introduction method and its system are disclosed, wherein method includes:Keyword template is set in the database;Obtain the target data for including keyword;According to keyword verification object data;It verifies and target data is then successfully imported into database;Verify it is unsuccessful, label target data be pending nuclear state, and push to labor management backstage;Labor management backstage carries out manual examination and verification to target data and target data is imported into database if auditing successfully, if audit is unsuccessful, delete target data;Keyword template is set and improves the accuracy for obtaining target data, then it verifies, database can be imported if if verifying, if verification not if using manual examination and verification by way of delete, automatic Verification can be handled automatically through a large amount of target data, least a portion of target data just needs manual examination and verification, greatly accelerates the speed for importing target data and effective percentage.
Description
Technical field
The present invention relates to data publication technical field, more specifically, it relates to a kind of batch data introduction method and its
System.
Background technique
On internet product transaction platform, user needs to know the price fluctuation of the product on network, and in the industry
Market, there is differences between the product price and market of different supplier's offers, therefore, internet product transaction platform
Backstage can grab product price related with the product and row by web crawlers to the product web of multiple and different suppliers
Then feelings data analyze the reference product price and market of the product further according to the data of crawl.
But being continuously increased with internet data, the data bulk of web crawlers crawl is also increasing, in number
When data bulk is few, using manually into database logging data can also and receives, and working as data bulk increases to manually
When being manually entered the speed of data and being unable to catch up with the speed of data update, cannot again using the method for manually logging data, and
Need a kind of method that batch data imports.
Summary of the invention
The technical issues of technical solution of the present invention is solved is that data bulk increases to the speed of manually logging data
When being unable to catch up with the speed of data update, data inputting needs a kind of method that batch data imports.
To achieve the above object, technical solution of the present invention provides a kind of batch data introduction method, includes the following steps:
Keyword template is set in the database;
Obtain the target data for including the keyword;
The target data is verified according to the keyword in the target data, wherein verification rule is acquisition
The target data and the database in the target data ring ratio lower than setting ring ratio, alternatively, verification rule
It is year-on-year lower than setting for the same ratio of the target data in the target data of acquisition and the database, alternatively, school
The ups and downs amplitude for testing the target data and the target data in the database of the rule to obtain rises without departing from setting
Drop range;
The target data is imported into database if verifying successfully, and by the key sequence in the target data
It is consistent with the key sequence in the keyword template to sort;
If verification is unsuccessful, the target data is labeled as pending nuclear state, and pushes to labor management backstage;
Labor management backstage carries out manual examination and verification to the target data that label is nuclear state, will if auditing successfully
The target data imported into the database, if audit is unsuccessful, deletes the target data.
Through the above technical solutions, setting keyword template improves the accuracy for obtaining target data, then verification object
Keyword in data, if verify pass through if can import database, if verification not by way of using manual examination and verification come
It deletes, the target data quantity passed through can be verified in a plurality of target data handled in batch and occupies major part, therefore is automatic
Verification can be handled automatically through a large amount of target data, and least a portion of target data just needs manual examination and verification, greatly speeds up
Import the speed and efficiency of target data.
Further, the keyword includes data name, data type and data source.
Through the above technical solutions, first identification can be carried out as keyword to target data using data name,
Data type can then improve the verification accuracy rate of target data, and data source can then facilitate the reliable of manual examination and verification target data
Property.
Further, described to obtain the target data for including the keyword, further include:
Select the data port imported;
The data list imported is determined from the data port, and there is a plurality of target data in the data list;
Show the whether successful result imported of target data described in the data list.
Through the above technical solutions, the data port that selection imports can facilitate the batch data of selection separate sources, and
Display result can then facilitate employee to observe whether importing result malfunctions.
Further, target data described in the display data list it is whether successful import as a result, further including:
It establishes and imports failure log;
The target data for importing failure is saved in failure log in described import;
The data list belonging to the target data and the data list are marked in importing failure log
The quantity of the middle target data for importing failure.
Employee can be allowed to inquire the record for importing failure before through the above technical solutions, importing failure log, thus side
Just employee judges the target data source for importing failure.
Further, if the quantity for importing the target data of failure in the data list accounts in the data list
The percentage of the target data total quantity is greater than setting percent value, then pushes the data list to labor management backstage.
Through the above technical solutions, the data list more than the target data for importing failure is pushed into labor management backstage,
It allows labor management backstage to judge the accuracy of data list, conducive to data list is replaced in advance, avoids judgement excessive below quasi-
The low data of true property.
In order to solve the above-mentioned technical problem, technical solution of the present invention additionally provides a kind of batch data import system, including:
Database is read and write for storing data and for external equipment;
Server-side is connect with the data field signal, the data for reading and writing in the database, and is calculated from the database
The data of interior read-write;
Input terminal is connect with the service end signal, for the input data into the server-side;
Wherein, further include in server-side:
Setting module, the keyword template inputted for obtaining the input terminal to the server-side, and by the keyword mould
The database is written in plate;
Obtain module, the target data for including the keyword inputted for obtaining the input terminal to the server-side;
Correction verification module, for being verified according to the keyword in the target data to the target data, wherein school
Testing rule is the ring ratio of the target data in the target data obtained and the database lower than setting ring ratio, or
Person, verification rule are same lower than setting for the same ratio of the target data in the target data obtained and the database
Than alternatively, the ups and downs amplitude of the regular target data to obtain of verification and the target data in the database is not
Beyond setting amount of increase and amount of decrease;
Determination module, for the target data being imported into database, and will be in the target data when verifying successfully
The key sequence is consistent with the key sequence in the keyword template to sort;And when verifying unsuccessful, it will
The target data is labeled as pending nuclear state, and pushes to labor management background module;
Artificial background module, for carrying out manual examination and verification to the target data that label is nuclear state, if auditing successfully,
The target data is then imported into the database, if audit is unsuccessful, deletes the target data.
Through the above technical solutions, database for storing data, facilitates the management work of data, server-side is from input terminal
Data are received, verification judgement then is carried out to data, so that the data that can be imported are told from large batch of data, and it is right
The data that cannot be imported carry out manual examination and verification, and automatic Verification can be handled automatically through a large amount of target data, small part
Target data just need manual examination and verification, accelerate target data importing data and efficiency.
Further, the keyword includes data name, data type and data source.
Target data is identified for the first time through the above technical solutions, data name can facilitate, data type can reduce
The check errors rate of target data, data source can facilitate the reliability of source of manual examination and verification target data.
Further, the acquisition module further includes:
Import unit is selected, the data port for selecting to import in the server-side;
It determines import unit, for determining the data list imported from the data port, has in the data list more
Target data described in item;
Result unit is shown, for showing the whether successful result imported of target data described in the data list.
Through the above technical solutions, the data port that selection imports can facilitate the lot number of employee's selection separate sources
According to allowing employee that can neatly import the different data of storage location, display result then can facilitate employee to observe importing result
Whether malfunction.
Further, the display result unit further includes:
Subelement is established, imports failure log for establishing in the server-side;
Saving subunit, for saving the target data for importing failure in failure log in described import;
Subelement is marked, for marking the data list belonging to the target data in importing failure log,
And the quantity of the target data of failure is imported in the data list.
It is lost through the above technical solutions, the importing failure log for establishing subelement foundation imports before employee can be allowed to inquire
The record lost, so that employee be facilitated to judge the target data source for importing failure.
Further, the display result unit further includes:
Judgement push subelement, accounts for the number for judging to import the quantity of the target data of failure in the data list
Whether it is greater than setting percent value according to the percentage of target data total quantity described in list, if more than setting percent value, then
The data list is pushed to labor management backstage.
Through the above technical solutions, judgement push subelement by import failure target data more than data list push to
Labor management backstage, manually again judges the accuracy of data list, avoids judgment accuracy excessive below low
Data.
The beneficial effect of technical solution of the present invention includes at least:Pass by the way that keyword template is arranged, in keyword template
Keyword can provide foundation to the acquisition of target data, improve the accuracy for obtaining target data, obtain school again after target data
The keyword in target data is tested, target data is imported into database if if verification, if verification is not by using artificial
The mode of audit carrys out delete target data, can verify the target data quantity passed through in a plurality of target data handled in batch and account for
According to major part, therefore automatic Verification can be handled automatically through a large amount of target data, and least a portion of target data just needs
Manual examination and verification are wanted, the speed for importing target data and effective percentage are greatly accelerated.
Detailed description of the invention
Fig. 1 is the method flow schematic diagram of the embodiment of the present invention one;
Fig. 2 is the method flow schematic diagram of one S2 of the embodiment of the present invention;
Fig. 3 is the method flow schematic diagram of one S23 of the embodiment of the present invention;
Fig. 4 is the system structure diagram of the embodiment of the present invention two;
Fig. 5 is the block diagram that the embodiment of the present invention two obtains module;
Fig. 6 is the block diagram that the embodiment of the present invention two shows result unit.
Appended drawing reference:100, database;200, server-side;210, setting module;220, module is obtained;221, selection imports
Unit;222, import unit is determined;223, result unit is shown;2231, subelement is established;2232, saving subunit;2233,
Mark subelement;2234, judgement push subelement;230, correction verification module;240, determination module;250, artificial background module;
300, input terminal.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without creative efforts, shall fall within the protection scope of the present invention.
It should be noted that input terminal 300 described in technical solution of the present invention refers to intelligent movable equipment or non-moving
Smart machine, such as mobile phone, plate or computer;Server-side 200 described in technical solution of the present invention be then using background service
One or more can be set in device, the server, which can include but is not limited to application server and WEB server;
Database 100 described in technical solution of the present invention can be hardware data memory, can also be the database operated in server-side 200
100 management softwares, such as MYSQL.
Embodiment one
In conjunction with the foregoing invention thinking of technical solution of the present invention, a kind of batch data introduction method, as shown in Figure 1, including as follows
Step:
Step S1:Keyword template is set in database 100.Keyword includes that data name, data type and data are come
Source.Contain multiple sorted keywords in keyword template, and be previously entered by employee into database 100, as screening
The foundation of data.Keyword includes data name, data type and data source.For example, containing finger in an achievement data
The keywords such as source, index coding and index name are marked, data name corresponds to index name, and data type corresponds to index volume
Code, data source correspond to index source.First identification can be carried out as keyword to target data using data name, number
The verification accuracy rate of target data can be then improved according to type, data source can then facilitate the reliability of manual examination and verification target data.
Step S2:Obtain the target data for including keyword.As shown in Fig. 2, wherein step S2 further includes step S21, step
Rapid S22 and step S23.Step S21:The data port imported is selected, selects the data port imported that can facilitate selection not
With the batch data in source, does not need employee and different types of data are all put into same storage location, employee is avoided to lead
It is fashionable to get data type wrong.Step S22:The data list imported is determined from data port, is had in data list a plurality of
Target data.Step S23:Show whether target data succeeds importing as a result, display result then can the person of convenience in data list
Work, which observes, imports whether result malfunctions.
As shown in figure 3, wherein step S23 further includes step S231, step S232, step S233 and step S234.Step
Rapid S231:It establishes and imports failure log, to record the information and the affiliated data of target data for importing the target data of failure
The information of list.Step S232:The target data for importing failure is saved in importing failure log.Step S233:It is lost importing
Lose the quantity that the target data that failure is imported in data list belonging to the target data and data list is marked in log.
Importing failure log can allow employee to inquire the record for importing failure before, to facilitate employee to the target data for importing failure
Source is judged
Step S234:If the quantity for importing the target data of failure in data list accounts for target data total quantity in data list
Percentage is greater than setting percent value, then propelling data list to labor management backstage.More than the target data of importing failure
Data list pushes to labor management backstage, allows labor management backstage to judge the accuracy of data list, conducive to number is replaced in advance
According to list, the data that avoid judgment accuracy excessive below low.
Step S3:Target data is verified according to the keyword in target data.Wherein, verification rule is acquisition
The ring ratio of target data in target data and database 100 is lower than setting ring ratio, alternatively, the regular target to obtain of verification
The same ratio of target data in data and database 100 is lower than setting on year-on-year basis, alternatively, target data of the verification rule for acquisition
Ups and downs amplitude with the target data in database 100 is without departing from setting amount of increase and amount of decrease.
Step S4:Target data is imported into database 100 if verifying successfully, and the keyword in target data is suitable
Sequence is consistent with the key sequence in keyword template to sort;If verification is unsuccessful, which is labeled as pending shape
State, and push to labor management backstage.
Step S5:Labor management backstage to label be nuclear state target data carry out manual examination and verification, if audit at
Target data is then imported into database 100 by function, if audit is unsuccessful, delete target data.
The keyword template of identification target data can be facilitated by being arranged, the keyword in keyword template can be to target
The acquisitions of data provides foundation, improves the accuracy for obtaining target data, obtains after target data in verification object data again
Keyword.Target data is imported into database 100 if if verifying;If verification does not pass through, first record imports the mesh of failure
Data list belonging to mark data and target data imports the content of failure log to be formed.Then the side of manual examination and verification is used
Formula deletes the incorrect target data of content, can verify the target data number passed through in a plurality of target data handled in batch
Amount occupies major part, therefore automatic Verification can be handled automatically through a large amount of target data, least a portion of target data
Manual examination and verification are just needed, the speed and treatment effeciency for importing target data are greatly accelerated.
Embodiment two
In conjunction with the foregoing invention thinking of technical solution of the present invention, a kind of batch data import system, as shown in figure 4, including data
Library 100, server-side 200 and input terminal 300.Database 100 is read and write for storing data and for external equipment, can be hardware number
It can also be 100 management software of database operated in server-side 200, such as MYSQL according to memory.Server-side 200 is using tool
There is the data counting device of central processing unit, internal operation has the program firmware that data are carried out with logical operation, and and data
The connection of 100 signal of library or data connection, can read and write the data in database 100, and calculate and read and write out of database 100
Data.Input terminal 300 is connect with 200 signal of server-side, for the input data into server-side 200.
Wherein, further include setting module 210 in server-side 200, obtain module 220, correction verification module 230, determination module 240
And artificial background module 250, above-mentioned module are to operate in server-side 200 the program firmware for realizing corresponding function, are only related to
And to most basic data, the newly-built of file, read-write, the operation such as save and delete, be related to data in correction verification module 230
Ring is related to the operation of the comparison between multiple numerical value than the comparison operation between calculating operation and numerical value, determination module 240, on
Stating operation is that and will not be described here in detail for the prior art.
Setting module 210 is for obtaining the keyword template that input terminal 300 is inputted to server-side 200, and by keyword mould
Database 100 is written in plate, wherein keyword includes data name, data type and data source.Data name can conveniently pair
Target data is identified that data type can reduce the check errors rate of target data for the first time, and data source conveniently can be examined manually
The reliability of source of core target data.
Module 220 is obtained for obtaining the target data for including keyword that input terminal 300 is inputted to server-side 200.
Correction verification module 230 is for verifying target data according to the keyword in target data, wherein verification rule
It is lower than setting ring than ring ratio lower than setting ring for the ring ratio of the target data in the target data and database 100 of acquisition
Than, it is lower than setting on year-on-year basis for the same ratio of the target data in the target data and database 100 of acquisition alternatively, verifying rule,
Alternatively, verification rule is the target data of acquisition and the ups and downs amplitude of the target data in database 100 without departing from setting ups and downs
Width.
Determination module 240 is used for when correction verification module 230 verifies successfully, that is, in the target data and database 100 obtained
The ring ratio of target data target data is imported into database 100 lower than setting ring ratio, and by the key in target data
Word order is consistent with the key sequence in keyword template to sort;And when verifying unsuccessful, that is, the target data that obtains with
The ring ratio of target data in database 100 is higher than setting ring ratio, which is labeled as pending nuclear state, and push
To labor management background module.
Artificial background module 250 for facilitating employee to carry out manual operation to data in management backstage, for label for
The target data of pending nuclear state carries out manual examination and verification and target data is imported into database 100 if auditing successfully, if examining
Core is unsuccessful, then delete target data.
Further include selection import unit 221, determine import unit 222 and display knot as shown in figure 5, obtaining module 220
Fruit unit 223.The data port that selection import unit 221 is used to select to import in server-side 200.Determine import unit 222
For determining the data list imported from data port, there is a plurality of target data in data list.Show result unit 223
For showing the whether successful result imported of target data in data list.The data port that selection imports can facilitate employee to select
The batch data for selecting separate sources, allows employee that can neatly import the different data of storage location, and display result can then facilitate
Employee, which observes, imports whether result malfunctions.
As shown in fig. 6, display result unit 223 further includes establishing subelement 2231, saving subunit 2232, label list
Member 2233 and judgement push subelement 2234.It establishes subelement 2231 and imports failure log for establishing in server-side 200.
Saving subunit 2232, which is used in importing failure log save, to be imported the target data of failure and records number belonging to target data
Title and address according to list.Label subelement 2233 is used to mark data belonging to the target data in importing failure log
The quantity of the target data of failure is imported in list and data list.Label subelement 2233 can facilitate employee to check importing
Data list more than the target data of failure.Judgement push subelement 2234 is used to judge to import in data list the target of failure
Whether the percentage that the quantity of data accounts for target data total quantity in data list is greater than setting percent value, if more than setting hundred
Point ratio, then propelling data list to labor management backstage, allow employee labor management backstage to the data list being pushed into
Row manual examination and verification judge the accuracy rate of the data list, if accuracy rate is lower than the accuracy rate standard of employee, employee can manually be managed
Delete the data list in reason backstage.
During batch data imports, the importing failure log for establishing the foundation of subelement 2231 can allow employee to inquire
The record of failure is imported before, so that employee be facilitated to judge the target data source for importing failure.Judgement push is single
Member 2234 by import failure target data more than data list push to labor management backstage, manually again to data list
Accuracy judged, the data for avoiding judgment accuracy excessive below low.
The working principle of batch data import system is:Database 100 for storing data, facilitates the management work of data
To make, server-side 200 receives data from input terminal 300, and the firmware module run in server-side 200 carries out verification judgement to data,
To tell the data that can be imported from large batch of data, and manual examination and verification are carried out to the data that cannot be imported, from
Dynamic verification can be handled automatically through a large amount of target data, and least a portion of target data just needs manual examination and verification, accelerates
The data and efficiency that target data imports.
Claims (10)
1. a kind of batch data introduction method, which is characterized in that include the following steps:
In database(100)Middle setting keyword template;
Obtain the target data for including keyword;
The target data is verified according to the keyword in the target data, wherein verification rule is acquisition
The target data and the database(100)In the target data ring ratio lower than setting ring ratio, alternatively, verification
Rule is the target data obtained and the database(100)In the target data same ratio it is same lower than setting
Than alternatively, verification rule is the target data obtained and the database(100)In the target data amount of increase and amount of decrease
Value is beyond setting amount of increase and amount of decrease;
The target data is imported into database if verifying successfully(100), and by the key in the target data
Word order is consistent with the key sequence in the keyword template to sort;
If verification is unsuccessful, the target data is labeled as pending nuclear state, and pushes to labor management backstage;
Labor management backstage carries out manual examination and verification to the target data that label is nuclear state, will if auditing successfully
The target data imported into the database(100)If audit is unsuccessful, the target data is deleted.
2. the method according to claim 1, wherein the keyword include data name, data type and
Data source.
3. according to the method described in claim 2, it is characterized in that, described obtain the target data for including the keyword, also
Including:
Select the data port imported;
The data list imported is determined from the data port, and there is a plurality of target data in the data list;
Show the whether successful result imported of target data described in the data list.
4. according to the method described in claim 3, it is characterized in that, target data described in the display data list is
It is no success import as a result, further including:
It establishes and imports failure log;
The target data for importing failure is saved in failure log in described import;
The data list belonging to the target data and the data list are marked in importing failure log
The quantity of the middle target data for importing failure.
5. according to the method described in claim 4, it is characterized in that, if importing the number of targets of failure in the data list
According to quantity account for target data total quantity described in the data list percentage be greater than setting percent value, then push described in
Data list to labor management backstage.
6. a kind of batch data import system, which is characterized in that including:
Database(100), read and write for storing data and for external equipment;
Server-side(200), with the database(100)Signal connection, for reading and writing the database(100)Interior data, and
It calculates from the database(100)The data of interior read-write;
Input terminal(300), with the server-side(200)Signal connection, is used for the server-side(200)Middle input data;
Wherein, server-side(200)In further include:
Setting module(210), for obtaining the input terminal(300)To the server-side(200)The keyword template of input, and
The database is written into the keyword template(100);
Obtain module(220), for obtaining the input terminal(300)To the server-side(200)Input includes the key
The target data of word;
Correction verification module(230), for being verified according to the keyword in the target data to the target data,
Middle verification rule is the target data obtained and the database(100)In the target data ring ratio lower than setting
Ring ratio is determined, alternatively, verification rule is the target data obtained and the database(100)In the target data it is same
Ratio is year-on-year lower than setting, alternatively, verification rule is the target data obtained and the database(100)In the mesh
The ups and downs amplitude of data is marked without departing from setting amount of increase and amount of decrease;
Determination module(240), for when verifying successfully, the target data to be imported into database(100), and by the mesh
The key sequence in mark data consistent with the key sequence in the keyword template sorts;And it is verifying not
When success, the target data is labeled as pending nuclear state, and push to labor management background module;
Artificial background module(250), for carrying out manual examination and verification to the target data that label is nuclear state, if audit
Success, then imported into the database for the target data(100)If audit is unsuccessful, the target data is deleted.
7. system according to claim 6, which is characterized in that the keyword include data name, data type and
Data source.
8. system according to claim 7, which is characterized in that the acquisition module(220)Further include:
Select import unit(221), in the server-side(200)The data port that middle selection imports;
Determine import unit(222), for determining the data list imported from the data port, have in the data list
There is a plurality of target data;
Show result unit(223), for showing the whether successful result imported of target data described in the data list.
9. system according to claim 8, which is characterized in that the display result unit(223)Further include:
Establish subelement(2231), in the server-side(200)Middle foundation imports failure log;
Saving subunit(2232), for saving the target data for importing failure in failure log in described import;
Mark subelement(2233), for marking the data belonging to the target data in importing failure log
The quantity of the target data of failure is imported in list and the data list.
10. system according to claim 9, which is characterized in that the display result unit(223)Further include:
Judgement push subelement(2234), accounted for for judging to import the quantity of the target data of failure in the data list
Whether the percentage of target data total quantity described in the data list is greater than setting percent value, if more than setting percentage
Value then pushes the data list to labor management backstage.
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110990879A (en) * | 2019-11-08 | 2020-04-10 | 中国电子科技网络信息安全有限公司 | Data evidence storing method based on block chain |
CN111625586A (en) * | 2020-05-27 | 2020-09-04 | 北京思特奇信息技术股份有限公司 | Method and system for importing general service data |
CN111770185A (en) * | 2020-07-03 | 2020-10-13 | 中国农业银行股份有限公司贵州省分行 | System for data encryption transmission and storage |
CN115905269A (en) * | 2023-01-06 | 2023-04-04 | 深圳市明源云科技有限公司 | Data import method, system, device and storage medium |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6983288B1 (en) * | 2000-11-20 | 2006-01-03 | Cisco Technology, Inc. | Multiple layer information object repository |
CN105808375A (en) * | 2014-12-31 | 2016-07-27 | 航天信息软件技术有限公司 | Data import method and device |
CN106484806A (en) * | 2016-09-22 | 2017-03-08 | 广州唯品会信息科技有限公司 | Link up the method and device of data |
CN107016096A (en) * | 2017-04-07 | 2017-08-04 | 北京六古广告传媒有限责任公司 | A kind of data import system and the data lead-in method based on the system |
-
2018
- 2018-05-24 CN CN201810508833.7A patent/CN108897765A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6983288B1 (en) * | 2000-11-20 | 2006-01-03 | Cisco Technology, Inc. | Multiple layer information object repository |
CN105808375A (en) * | 2014-12-31 | 2016-07-27 | 航天信息软件技术有限公司 | Data import method and device |
CN106484806A (en) * | 2016-09-22 | 2017-03-08 | 广州唯品会信息科技有限公司 | Link up the method and device of data |
CN107016096A (en) * | 2017-04-07 | 2017-08-04 | 北京六古广告传媒有限责任公司 | A kind of data import system and the data lead-in method based on the system |
Non-Patent Citations (2)
Title |
---|
GONGFAYA: ""超大量数据高速导入SqlServer"", 《HTTPS://WENKU.BAIDU.COM/VIEW/2591011E6BD97F192279E99B.HTML》 * |
虞益诚 等: "《数据库技术与应用》", 30 September 2012, 中国铁道出版社 * |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110990879A (en) * | 2019-11-08 | 2020-04-10 | 中国电子科技网络信息安全有限公司 | Data evidence storing method based on block chain |
CN110990879B (en) * | 2019-11-08 | 2022-03-18 | 中国电子科技网络信息安全有限公司 | Data evidence storing method based on block chain |
CN111625586A (en) * | 2020-05-27 | 2020-09-04 | 北京思特奇信息技术股份有限公司 | Method and system for importing general service data |
CN111770185A (en) * | 2020-07-03 | 2020-10-13 | 中国农业银行股份有限公司贵州省分行 | System for data encryption transmission and storage |
CN115905269A (en) * | 2023-01-06 | 2023-04-04 | 深圳市明源云科技有限公司 | Data import method, system, device and storage medium |
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