CN109905475A - A method of cloud computing monitoring data is exported with prescribed form based on SQL - Google Patents
A method of cloud computing monitoring data is exported with prescribed form based on SQL Download PDFInfo
- Publication number
- CN109905475A CN109905475A CN201910150969.XA CN201910150969A CN109905475A CN 109905475 A CN109905475 A CN 109905475A CN 201910150969 A CN201910150969 A CN 201910150969A CN 109905475 A CN109905475 A CN 109905475A
- Authority
- CN
- China
- Prior art keywords
- sql
- index
- data
- list
- cloud resource
- 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.)
- Granted
Links
Landscapes
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The present invention discloses a kind of method for exporting cloud computing monitoring data based on SQL with prescribed form, is related to cloud computing monitoring technology field.It is mainly to provide then high cost problem that index of classification highly customizes and causes by supervising platform for the method that existing cloud supervising platform provides data, includes: Step 1: spelling SQL, distribu-tion index allocation list using technical solution;Step 2: background query parsing assembling data, go out monitor control index data from there through SQL query, decompose SQL into table, inquire data in tissue table, the data of prescribed form are formed, when there is new demand at each scene, developer only needs, modification and increase SQL statement, rewriting or modification source code work are avoided, avoids and restarts system, save the development time, the complexity for reducing exploitation, improves development efficiency.
Description
Technical field
The present invention relates to cloud computing monitoring technology fields, and specifically one kind is by SQL in terms of prescribed form output cloud
The method for calculating monitoring data.
Background technique
Cloud supervising platform is the service that management is monitored for cloud resource and application.Cloud supervising platform can be used for receiving
Collection obtains the monitor control index of cloud resource and application, detects service availability, and be directed to setup measures alarm.By supervision, promote
Make cloud resource and service have it is expansible, can run and robustness, realize data centralization, allow management and operation more efficiently letter
It is single, it realizes the continuous reduction of totle drilling cost, pushes cloud computing continuous development and evolution.
The data that the data of cloud supervising platform are provided mainly from cloud service provider provide more than one of the service provider of data,
The requirement of each supervising platform is also not quite similar, and needs the customization to different fieldbus process height, for cloud service provider, establishes
One scene will do the data of a set of monitor supervision platform, and a set of Interface Engineering of overlapping development modifies a large amount of codes, increase cloud clothes
The cost of Wu Shang producer.
The method for providing data to cloud supervising platform now mainly provides index of classification by supervising platform, and then height is fixed
System.For cloud computing resources, the requirement of the same type is different, such as Cloud Server, and supervising platform 1 may require returning
Vm1 is returned to indicate, supervising platform 2 requires to return to vm2 to indicate;Same type of same index is not also identical, such as cloud service
The cpu busy percentage supervising platform 1 of device may require returning to cpu1 to indicate, supervising platform 2 requires to return to cpu2 to indicate.Mesh
Before, the method generallyd use develops set of system aiming at supervising platform 1, another set of system is developed for supervising platform 2, this
Method need to develop or largely modify again before code, waste a large amount of time and manpower.
Summary of the invention
The present invention is directed to the demand and shortcoming of current technology development, provides one kind and is exported based on SQL with prescribed form
The method of cloud computing monitoring data controls the output format of data by SQL, avoids rewriting or modification source code work,
It avoids and restarts system, save the development time, reduce the complexity of exploitation, improve development efficiency.
A kind of method exporting cloud computing monitoring data based on SQL with prescribed form of the invention, solves above-mentioned technology and asks
Topic the technical solution adopted is as follows:
A method of based on SQL with prescribed form export cloud computing monitoring data, this method the realization process includes:
Step 1: spelling SQL, distribu-tion index allocation list;
Step 2: background query parsing assembling data.
Specifically, the concrete operations content of steps involved one includes:
Step 1.1, the type and index given according to supervising platform, according to cloud resource type and cloud resource sub-ordinate components class
Type carries out index classification;
Step 1.2, according to the SQL of type spelled queries data;
Step 1.3 is decomposed according to the JSON data that SQL and requirement return, and is configured in index allocation table.
Specifically, needing each index decomposition according to SQL and when the JSON data returned being required to be decomposed into configuration
Record line by line in table, and subsequently determine whether the last one index of SQL has been put in storage, if the index is not yet put in storage,
Then the index is filled in allocation list, if the index has been put in storage, is directly terminated.
Specifically, a kind of index is placed in the same SQL and is inquired, and decomposes SQL to allocation list when executing step 1
In, the field of each inquiry is as one in allocation list record in SQL, and according to the output format of regulation, its in allocation list
His field.
Specifically, the concrete operations content of steps involved two includes:
Step (1) is gone out data in index allocation table by cloud resource type queries, and according to cloud resource type and cloud resource
Sub-ordinate components type is categorized into two arrays;
Step (2) forms cloud resource type and cloud resource junior by way of splicing by data backstage in allocation list
The index query SQL of component type, and data are inquired, the JSON data of output prescribed form are controlled by allocation list.
Specifically, steps involved (two) specifically includes:
A) array of traversal storage cloud resource type assembles the SQL that cloud resource type is inquired in step 1.2, according to SQL
Inquire the achievement data of cloud resource type;
B) traversal storage cloud resource sub-ordinate components type array, according to the cloud resource sub-ordinate components in index allocation table this
The content of a field, distinguishes different component types, and same type of cloud resource sub-ordinate components risk phase in step 1 by array
The SQL answered inquires the achievement data of different types of cloud resource sub-ordinate components;
C) achievement data inquired according to the format combination a) of regulation and b), and export the achievement data after combination.
Specifically, involved index allocation table include 15 fields, be respectively kpiid, kpidescribe,
devicetypeid、subtypeid、kpicolumnname、kpicitype、kpitablename、kpicondition、
pmdparentcolumn、kpitablekey、kpiusestarttime、kpiislist、kpienable、kpisendtime、
localname;Wherein:
Kpiid is major key id field;
Kpidescribe is the title or description of index;
Devicetypeid is cloud resource type field;
Subtypeid is cloud resource type lower component type field;
Kpicolumnname is column file-name field, stores the corresponding field of index either table in cloud service provider data Kuku
Up to formula;
Kpicitype is the field for the index that cloud supervising platform requires expression, that is, the subsequent content of as;
Kpitablename is inquiry table file-name field, that is, the content behind FROM before WHERE;
Kpicondition is inquiry restrictive condition field, that is, the content that WHERE is fixed below;
Pmdparentcolumn is the id field of parent in performance table, this information is not sometimes denoted as sky;
Kpitablekey is that performance table is associated with the corresponding field of cloud resource with resource table;
Kpiusestarttime inquires whether this index needs time field;
Kpiislist be this index where class whether in the form of array output field, be then assigned a value of 1 if it is array,
It is 0 for object, is defaulted as 1;
Kpienable is whether index enables field, and default is enabled as 1, and not reinstating is 0;
Kpisendtime is the time field that index is sent, and one later period program of default input automatically updates at the beginning;
Localname is the live title inserted where the index.
Specifically, the backstage code implementation process of steps involved two are as follows:
Step 2.1, input parameter cloud resource type, and inquire in index allocation table and correspond to according to cloud resource byte orderings
Data are placed in list;
Step 2.2 creates a Map object, two List arrays of interior storage, for store the parsing of list in 1 as a result,
Traverse list data in 2-1, judge each object storage devicetypeid and subtypeid in list content whether phase
Deng, it is equal to be put into first list of Map, it is unequal to be put into second list of Map;
Step 2.3 takes out first list in Map, judges whether first list is sky, to Map if not for sky
In first list traversed, the data assembling in first list at the SQL spelt in step 1, be passed to relevant parameter
Go out the corresponding data of cloud resource type with the SQL query of spelling;
Step 2.4 takes out second list in Map, judges whether second list is empty, if not defining one to be empty
Variable is equal in list the value of subtypeid storage in first object, which indicates as one, to second in Map
List is traversed, and judges whether the subtypeid content in the object currently traversed is equal with flag bit, if equal assembly
SQL statement in current mark bit, until unequal, the SQL query of incoming relevant parameter and spelling goes out subtypeid type pair
The data answered, flag bit are transformed to existing object subtypeid content, and content empties before SQL, recycle previous step, directly
It is unequal to flag bit and object subtypeid content, then the corresponding data of inquiry subtypeid type are gone, when in Map second
When a list carries out traversing the last one, the SQL query of incoming relevant parameter and spelling goes out the corresponding number of subtypeid type
According to.
Step 2.5, according to data in given index returned data format assembling steps 2.3 and step 2.4, JSON method
Processing, and output data.
A kind of method that cloud computing monitoring data is exported with prescribed form based on SQL of the invention, compared with prior art
It has the beneficial effect that
The present invention goes out monitor control index data by SQL query, decomposes SQL into table, inquires data in tissue table, forms rule
The data for the formula that fixes, when there is new demand at each scene, developer only needs, and modifies and increases SQL statement, avoid
It rewrites or modification source code works, avoid and restart system, save the development time, reduce the complexity of exploitation, improve
Development efficiency.
Detailed description of the invention
Attached drawing 1 is the flow chart of step 1 in the present invention;
Attached drawing 2 is the backstage code implementation flow chart of step 2 in the present invention.
Specific embodiment
The technical issues of to make technical solution of the present invention, solving and technical effect are more clearly understood, below in conjunction with tool
Body embodiment carries out clear, complete description to technical solution of the present invention, it is clear that described embodiment is only this hair
Bright a part of the embodiment, instead of all the embodiments.Based on the embodiment of the present invention, those skilled in the art are not doing
All embodiments obtained under the premise of creative work out, all within protection scope of the present invention.
Embodiment one:
The present embodiment proposes a kind of method for exporting cloud computing monitoring data based on SQL with prescribed form, the reality of this method
Now process includes:
Step 1: spelling SQL, distribu-tion index allocation list;
Step 2: background query parsing assembling data.
In the present embodiment, in conjunction with attached drawing 1, the concrete operations content of steps involved one includes:
Step 1.1, the type and index given according to supervising platform, according to cloud resource type and cloud resource sub-ordinate components class
Type carries out index classification;
Step 1.2, according to the SQL of type spelled queries data;
Step 1.3 is decomposed according to the JSON data that SQL and requirement return, and is configured in index allocation table.
During executing step 1.3, when according to SQL and the JSON data returned being required to be decomposed, need every
A index decomposition subsequently determines whether the last one index of SQL has been put in storage at the record line by line in allocation list, if
The index is not yet put in storage, then the index is filled in allocation list, if the index has been put in storage, is directly terminated.
In the present embodiment, when executing step 1, a kind of index is placed in the same SQL and is inquired, and decomposes SQL and arrives
In allocation list, the field of each inquiry is configured as a record in allocation list, and according to the output format of regulation in SQL
Other fields in table.
In the present embodiment, the concrete operations content of steps involved two includes:
Step (1) is gone out data in index allocation table by cloud resource type queries, and according to cloud resource type and cloud resource
Sub-ordinate components type is categorized into two arrays;
Step (2) forms cloud resource type and cloud resource junior by way of splicing by data backstage in allocation list
The index query SQL of component type, and data are inquired, the JSON data of output prescribed form are controlled by allocation list.
Specifically, steps involved (two) includes:
A) array of traversal storage cloud resource type assembles the SQL that cloud resource type is inquired in step 1.2, according to SQL
Inquire the achievement data of cloud resource type;
B) traversal storage cloud resource sub-ordinate components type array, according to the cloud resource sub-ordinate components in index allocation table this
The content of a field, distinguishes different component types, and same type of cloud resource sub-ordinate components risk phase in step 1 by array
The SQL answered inquires the achievement data of different types of cloud resource sub-ordinate components;
C) achievement data inquired according to the format combination a) of regulation and b), and export the achievement data after combination.
In the present embodiment, involved index allocation table include 15 fields, be respectively kpiid, kpidescribe,
devicetypeid、subtypeid、kpicolumnname、kpicitype、kpitablename、kpicondition、
pmdparentcolumn、kpitablekey、kpiusestarttime、kpiislist、kpienable、kpisendtime、
localname.Wherein:
Kpiid is major key id field;
Kpidescribe is the title or description of index;
Devicetypeid is cloud resource type field;
Subtypeid is cloud resource type lower component type field;
Kpicolumnname is column file-name field, stores the corresponding field of index either table in cloud service provider data Kuku
Up to formula;
Kpicitype is the field for the index that cloud supervising platform requires expression, that is, the subsequent content of as;
Kpitablename is inquiry table file-name field, that is, the content behind FROM before WHERE;
Kpicondition is inquiry restrictive condition field, that is, the content that WHERE is fixed below;
Pmdparentcolumn is the id field of parent in performance table, this information is not sometimes denoted as sky;
Kpitablekey is that performance table is associated with the corresponding field of cloud resource with resource table;
Kpiusestarttime inquires whether this index needs time field;
Kpiislist be this index where class whether in the form of array output field, be then assigned a value of 1 if it is array,
It is 0 for object, is defaulted as 1;
Kpienable is whether index enables field, and default is enabled as 1, and not reinstating is 0;
Kpisendtime is the time field that index is sent, and one later period program of default input automatically updates at the beginning;
Localname is the live title inserted where the index.
In the present embodiment, in conjunction with attached drawing 2, the backstage code implementation process of steps involved two are as follows:
Step 2.1, input parameter cloud resource type, and inquire in index allocation table and correspond to according to cloud resource byte orderings
Data are placed in list;
Step 2.2 creates a Map object, two List arrays of interior storage, for store the parsing of list in 1 as a result,
Traverse list data in 2-1, judge each object storage devicetypeid and subtypeid in list content whether phase
Deng, it is equal to be put into first list of Map, it is unequal to be put into second list of Map;
Step 2.3 takes out first list in Map, judges whether first list is sky, to Map if not for sky
In first list traversed, the data assembling in first list at the SQL spelt in step 1, be passed to relevant parameter
Go out the corresponding data of cloud resource type with the SQL query of spelling;
Step 2.4 takes out second list in Map, judges whether second list is empty, if not defining one to be empty
Variable is equal in list the value of subtypeid storage in first object, which indicates as one, to second in Map
List is traversed, and judges whether the subtypeid content in the object currently traversed is equal with flag bit, if equal assembly
SQL statement in current mark bit, until unequal, the SQL query of incoming relevant parameter and spelling goes out subtypeid type pair
The data answered, flag bit are transformed to existing object subtypeid content, and content empties before SQL, recycle previous step, directly
It is unequal to flag bit and object subtypeid content, then the corresponding data of inquiry subtypeid type are gone, when in Map second
When a list carries out traversing the last one, the SQL query of incoming relevant parameter and spelling goes out the corresponding number of subtypeid type
According to.
Step 2.5, according to data in given index returned data format assembling steps 2.3 and step 2.4, JSON method
Processing, and output data.
Claims (8)
1. a kind of method for exporting cloud computing monitoring data based on SQL with prescribed form, which is characterized in that the realization of this method
Journey includes:
Step 1: spelling SQL, distribu-tion index allocation list;
Step 2: background query parsing assembling data.
2. a kind of method for exporting cloud computing monitoring data based on SQL with prescribed form according to claim 1, feature
It is, the concrete operations content of the step 1 includes:
Step 1.1, the type and index given according to supervising platform, according to cloud resource type and cloud resource sub-ordinate components type into
Row index classification;
Step 1.2, according to the SQL of type spelled queries data;
Step 1.3 is decomposed according to the JSON data that SQL and requirement return, and is configured in index allocation table.
3. a kind of method for exporting cloud computing monitoring data based on SQL with prescribed form according to claim 2, feature
It is, when according to SQL and the JSON data returned being required to be decomposed, needs each index decomposition into a line in allocation list
Row record, and subsequently determine whether the last one index of SQL has been put in storage, if the index is not yet put in storage, the index
It fills in allocation list, if the index has been put in storage, directly terminates.
4. a kind of method for exporting cloud computing monitoring data based on SQL with prescribed form according to claim 1, feature
It is, when executing step 1, a kind of index is placed in the same SQL and is inquired, and decomposes SQL into allocation list, it is every in SQL
The field of a inquiry is as one in allocation list record, and according to the output format of regulation, other fields in allocation list.
5. a kind of method for exporting cloud computing monitoring data based on SQL with prescribed form according to claim 2, feature
It is, the concrete operations content of the step 2 includes:
Step (1) is gone out data in index allocation table by cloud resource type queries, and according to cloud resource type and cloud resource junior
Component type is categorized into two arrays;
Step (2) forms cloud resource type and cloud resource sub-ordinate components by way of splicing by data backstage in allocation list
The index query SQL of type, and data are inquired, the JSON data of output prescribed form are controlled by allocation list.
6. a kind of method for exporting cloud computing monitoring data based on SQL with prescribed form according to claim 5, feature
It is, the step (2) specifically includes:
A) array of traversal storage cloud resource type assembles the SQL that cloud resource type is inquired in step 1.2, according to SQL query
The achievement data of cloud resource type out;
B) array of traversal storage cloud resource sub-ordinate components type, according to cloud resource sub-ordinate components this word in index allocation table
The content of section, distinguishes different component types, and same type of cloud resource sub-ordinate components are risked corresponding in step 1 by array
SQL inquires the achievement data of different types of cloud resource sub-ordinate components;
C) achievement data inquired according to the format combination a) of regulation and b), and export the achievement data after combination.
7. it is according to claim 1 to 6 it is a kind of based on SQL with prescribed form output cloud computing monitoring data
Method, which is characterized in that the index allocation table include 15 fields, be respectively kpiid, kpidescribe,
devicetypeid、subtypeid、kpicolumnname、kpicitype、kpitablename、kpicondition、
pmdparentcolumn、kpitablekey、kpiusestarttime、kpiislist、kpienable、kpisendtime、
localname;Wherein:
Kpiid is major key id field;
Kpidescribe is the title or description of index;
Devicetypeid is cloud resource type field;
Subtypeid is cloud resource type lower component type field;
Kpicolumnname is column file-name field, stores the corresponding field of index either expression formula in cloud service provider data Kuku;
Kpicitype is the field for the index that cloud supervising platform requires expression, that is, the subsequent content of as;
Kpitablename is inquiry table file-name field, that is, the content behind FROM before WHERE;
Kpicondition is inquiry restrictive condition field, that is, the content that WHERE is fixed below;
Pmdparentcolumn is the id field of parent in performance table, this information is not sometimes denoted as sky;
Kpitablekey is that performance table is associated with the corresponding field of cloud resource with resource table;
Kpiusestarttime inquires whether this index needs time field;
Kpiislist be this index where class whether in the form of array output field, be then assigned a value of 1 if it is array, be right
As being 0, it is defaulted as 1;
Kpienable is whether index enables field, and default is enabled as 1, and not reinstating is 0;
Kpisendtime is the time field that index is sent, and one later period program of default input automatically updates at the beginning;
Localname is the live title inserted where the index.
8. a kind of method for exporting cloud computing monitoring data based on SQL with prescribed form according to claim 7, feature
It is, the backstage code implementation process of the step 2 are as follows:
Step 2.1, input parameter cloud resource type, and inquired in index allocation table according to cloud resource byte orderings and correspond to number
According to being placed in list;
Step 2.2 creates a Map object, and two List arrays of interior storage are that list in 1 is parsed as a result, traversal for storing
List data in 2-1 judge whether the content of each object storage devicetypeid and subtypeid in list is equal, phase
It is unequal to be put into second list of Map etc. being put into first list of Map;
Step 2.3 takes out first list in Map, judge first list whether be it is empty, if be not it is empty if in Map the
One list is traversed, and the data assembling in first list at the SQL spelt in step 1, is passed to relevant parameter and spelling
The SQL query write goes out the corresponding data of cloud resource type;
Step 2.4 takes out second list in Map, judges whether second list is empty, if not defining a variable to be empty
Equal to the value that subtypeid is stored in first object in list, which indicates as one, to second list in Map
It is traversed, judges whether the subtypeid content in the object currently traversed is equal with flag bit, if equal assembled current
SQL statement in flag bit, until unequal, it is corresponding that the SQL query of incoming relevant parameter and spelling goes out subtypeid type
Data, flag bit are transformed to existing object subtypeid content, and content empties before SQL, recycle previous step, Zhi Daobiao
Will position and object subtypeid content are unequal, then go the corresponding data of inquiry subtypeid type, when second in Map
When list carries out traversing the last one, the SQL query of incoming relevant parameter and spelling goes out the corresponding number of subtypeid type
According to.
Step 2.5, according to data in given index returned data format assembling steps 2.3 and step 2.4, at JSON method
Reason, and output data.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910150969.XA CN109905475B (en) | 2019-02-28 | 2019-02-28 | Method for outputting cloud computing monitoring data in specified format based on SQL |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910150969.XA CN109905475B (en) | 2019-02-28 | 2019-02-28 | Method for outputting cloud computing monitoring data in specified format based on SQL |
Publications (2)
Publication Number | Publication Date |
---|---|
CN109905475A true CN109905475A (en) | 2019-06-18 |
CN109905475B CN109905475B (en) | 2022-03-15 |
Family
ID=66945737
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910150969.XA Active CN109905475B (en) | 2019-02-28 | 2019-02-28 | Method for outputting cloud computing monitoring data in specified format based on SQL |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109905475B (en) |
Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101183306A (en) * | 2007-12-13 | 2008-05-21 | 浪潮通信信息系统有限公司 | Universal Tuxedo configuring method with across platforms and transplant |
CN101187888A (en) * | 2007-12-11 | 2008-05-28 | 浪潮电子信息产业股份有限公司 | Method for coping database data in heterogeneous environment |
CN101425090A (en) * | 2008-12-08 | 2009-05-06 | 浪潮通信信息系统有限公司 | Method for generating intelligent SQL statement for summarization of data |
CN101788996A (en) * | 2009-11-19 | 2010-07-28 | 山东浪潮齐鲁软件产业股份有限公司 | User-defined searching method |
CN105117441A (en) * | 2015-08-11 | 2015-12-02 | 北京思特奇信息技术股份有限公司 | Data work order processing method and system |
US20150356139A1 (en) * | 2014-06-09 | 2015-12-10 | International Business Machines Corporation | Adapting a relational query to accommodate hierarchical data |
CN105447051A (en) * | 2014-09-22 | 2016-03-30 | 普天信息技术有限公司 | Database operation method and device |
US9367570B1 (en) * | 2012-04-09 | 2016-06-14 | Google Inc. | Ad hoc queryable JSON with audit trails |
CN107291471A (en) * | 2017-06-22 | 2017-10-24 | 北京航空航天大学 | A kind of Meta model framework system for supporting customizable data acquisition |
CN108984506A (en) * | 2018-08-01 | 2018-12-11 | 北京中电普华信息技术有限公司 | A kind of generation method and device of configurable intelligent report forms |
-
2019
- 2019-02-28 CN CN201910150969.XA patent/CN109905475B/en active Active
Patent Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101187888A (en) * | 2007-12-11 | 2008-05-28 | 浪潮电子信息产业股份有限公司 | Method for coping database data in heterogeneous environment |
CN101183306A (en) * | 2007-12-13 | 2008-05-21 | 浪潮通信信息系统有限公司 | Universal Tuxedo configuring method with across platforms and transplant |
CN101425090A (en) * | 2008-12-08 | 2009-05-06 | 浪潮通信信息系统有限公司 | Method for generating intelligent SQL statement for summarization of data |
CN101788996A (en) * | 2009-11-19 | 2010-07-28 | 山东浪潮齐鲁软件产业股份有限公司 | User-defined searching method |
US9367570B1 (en) * | 2012-04-09 | 2016-06-14 | Google Inc. | Ad hoc queryable JSON with audit trails |
US20150356139A1 (en) * | 2014-06-09 | 2015-12-10 | International Business Machines Corporation | Adapting a relational query to accommodate hierarchical data |
CN105447051A (en) * | 2014-09-22 | 2016-03-30 | 普天信息技术有限公司 | Database operation method and device |
CN105117441A (en) * | 2015-08-11 | 2015-12-02 | 北京思特奇信息技术股份有限公司 | Data work order processing method and system |
CN107291471A (en) * | 2017-06-22 | 2017-10-24 | 北京航空航天大学 | A kind of Meta model framework system for supporting customizable data acquisition |
CN108984506A (en) * | 2018-08-01 | 2018-12-11 | 北京中电普华信息技术有限公司 | A kind of generation method and device of configurable intelligent report forms |
Non-Patent Citations (1)
Title |
---|
SUN_FALLS: "EasyUI datagrid动态加载表格数据的方式", 《HTTPS://BLOG.CSDN.NET/SUN_FALLS/ARTICLE/DETAILS/78082367》 * |
Also Published As
Publication number | Publication date |
---|---|
CN109905475B (en) | 2022-03-15 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108304201B (en) | Object updating method, device and equipment | |
CN107818112B (en) | Big data analysis operating system and task submitting method | |
CN104133772A (en) | Automatic test data generation method | |
CN107016094B (en) | Project shared file multi-person collaborative development method, device and system | |
CN110673853A (en) | Compiling method, device and system | |
CN111324577B (en) | Yml file reading and writing method and device | |
CN110866029B (en) | sql statement construction method, device, server and readable storage medium | |
CN103971036A (en) | Page field access control system and method | |
CN114064601B (en) | Storage process conversion method, device, equipment and storage medium | |
CN111125064A (en) | Method and device for generating database mode definition statement | |
CN116126950A (en) | Real-time materialized view system and method | |
CN104361040A (en) | Method and device for customized query | |
CN106951593B (en) | Method and device for generating configuration file of protection measurement and control device | |
CN114997414A (en) | Data processing method and device, electronic equipment and storage medium | |
CN111240772A (en) | Data processing method and device based on block chain and storage medium | |
CN102214103A (en) | Method and system for establishing and performing task program based on functional unit | |
CN108459842B (en) | Model configuration method and device and electronic equipment | |
CN113190576A (en) | Data processing method and device, computer equipment and readable storage medium | |
CN117008920A (en) | Engine system, request processing method and device, computer equipment and storage medium | |
CN109905475A (en) | A method of cloud computing monitoring data is exported with prescribed form based on SQL | |
CN103347059A (en) | Method, client-side and system for realizing user configuration parameter transmission | |
CN101145959A (en) | A method and system for automatic realization of network management function | |
CN113448980A (en) | Method and device for generating SQL (structured query language) statement and electronic equipment | |
CN112597121A (en) | Logic script processing method and device, electronic equipment and storage medium | |
CN110727457A (en) | Component management method, device, storage medium and electronic equipment |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |