CN107657038B - Database quick reading method - Google Patents
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- CN107657038B CN107657038B CN201710912401.8A CN201710912401A CN107657038B CN 107657038 B CN107657038 B CN 107657038B CN 201710912401 A CN201710912401 A CN 201710912401A CN 107657038 B CN107657038 B CN 107657038B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/217—Database tuning
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/242—Query formulation
- G06F16/2433—Query languages
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
Abstract
The invention relates to a method for quickly reading a database, which divides the operation related to database reading and writing into four processing levels, and sequentially comprises the following steps: data type analysis layer: analyzing the type of the variable in the class, analyzing the type of the variable in the parameter, and generating a mapping table of the variable type and the database type; object data layout layer: establishing mapping between variable types and database types, generating variable type and variable data mapping tables, and constructing necessary information of the database tables; the SQL statement generates layers: expanding the class into a database model, generating a database expansion model, and generating an SQL statement according to the database model or the database expansion model; the database operation layer: and executing corresponding operation according to the generated SQL statement, and feeding back an execution result. The invention sets corresponding processing tasks according to the operation, standardizes and processes the operation, forms a standardized module with strong universality, improves the compatibility and reliability of the algorithm, and is easy to debug and maintain.
Description
Technical Field
The invention relates to the technical field of databases, in particular to a method for quickly reading a database.
Background
With the development of database technology, various requirements are continuously met, and further technical innovation and upgrading are continuously promoted. In program development, programmers sometimes encounter the following situations:
when a company goes to work, sometimes the life in the daytime is not finished, and a programmer can bring work home to work again in the evening. However, a development database that a company supports for program development is usually an entity database, and is deployed on a development support server, where the development support server is a server within a company local area network, and a server normally runs a development database that depends on the development support server. Because the internal of the company local area network cannot be accessed in the shift at home, the development database on the development support server cannot be connected, so that the server cannot work normally, and the function cannot be debugged during program development.
One solution in the prior art is to use a virtual database. When the company is on duty, the company is used for developing a matched development database for the program; when the user returns home, the virtual database in the memory is used for simulating the development database to carry out some basic function debugging, which is absolutely enough under the general condition.
Reading data by the entity database requires the following steps:
1. a connection is established with the database and,
2. the SQL query statement is written and,
3. the query statement is executed and the query statement,
4. the result of the query is obtained and,
5. the database is closed.
Obviously, today that interaction with a database is frequently required and data reading/storing is frequently required, the workload of accessing the database is very large, programmers write SQL statements in a tedious manner, the workload is large, errors are easily caused, and further reasonable optimization is needed.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a method for rapidly reading a database, which is used for packaging complicated and repeated SQL sentences, reducing the code writing amount during development, improving the development efficiency, effectively avoiding errors caused by repeated labor, respectively setting corresponding processing tasks according to operations, standardizing and streamlining the operations, forming a standardized module with strong universality, improving the compatibility and reliability of the algorithm and facilitating debugging and maintenance.
In order to achieve the above purposes, the technical scheme adopted by the invention is as follows:
a method for rapidly reading a database is characterized by comprising the following steps:
the operation related to database reading and writing is divided into four processing levels, which are sequentially as follows:
and the data type analysis layer completes the following processing in the layer:
the type of the variable in the class is analyzed,
analyzing the type of the variable in the parameter, generating a mapping table of the variable type and the database type,
and an object data layout layer, wherein the following processing is completed:
establishing a mapping between the variable type and the database type,
a variable type and variable data mapping table is generated,
the information necessary to build the database tables is,
the SQL statement generates a layer, and in the layer, the following processing is completed:
the class is expanded into a database model,
generating a database expansion model
SQL statements are generated from the database model or database expansion model,
the database operation layer, in the present layer, completes the following processes:
according to the generated SQL statement, executing corresponding operation,
and feeding back an execution result.
On the basis of the technical scheme, before the data type analysis layer is processed, the database is opened according to the preset,
if the opening fails, feeding back failure information, then executing database closing operation,
and if the opening is successful, switching to a data type analysis layer for processing.
On the basis of the technical scheme, the database closing operation is executed after the database operation layer carries out processing.
On the basis of the technical scheme, the data type analysis layer presets the following processing tasks according to different operations:
create a table task, invoke the task through the create table interface,
inserting a data task, invoking the task through an inserting data interface,
an update data task, which is invoked through an update data interface,
a query data task, which is invoked through a query data interface,
a database upgrading task, which is called through a database upgrading interface,
a delete table task, which is invoked through a delete table interface,
and deleting the data task, and calling the task through a data deleting interface.
On the basis of the technical scheme, in the task of creating the table, the table interface is created to obtain the class and other parameters, the data type analysis layer is switched to process the data type analysis layer,
in the task of inserting data, after the task is called by inserting a data interface, a judgment table is established and is transferred to a data type analysis layer for processing,
in the task of updating data, after the task is called by the data updating interface, the judgment table is established and has no change, the data type analysis layer is switched to process,
in the data query task, after the data query interface calls the task, the judgment table is established and is not changed, the data type analysis layer is switched to process,
in the task of upgrading the database, after the task is called by the database upgrading interface, the judgment table is established and the structure is changed, the data type analysis layer is switched to process,
in the task of deleting the table, after the interface of the deleting table calls the task, the deleting table is judged to be established and is transferred to a data type analyzing layer for processing,
in the task of deleting data, after the task is called by the data deleting interface, the judgment table is established and is not changed, and the data type analysis layer is switched to process the data type analysis layer.
On the basis of the technical scheme, the data type analysis layer respectively completes the following processing in each operation:
in the create table task, classes are analyzed and extracted: class name, variables contained in the class, inherited protocols, type analysis of variables in the class,
in the insert data task, classes are analyzed and extracted: class name, variables contained in the class, inherited protocols, type analysis of variables in the class,
in the task of updating data, class, KV parameter and extra parameter are analyzed, the variable in the parameter is analyzed,
in the task of inquiring data, class, KV parameter and extra parameter are analyzed, the variable in the parameter is analyzed,
in the database upgrade task, new class information is analyzed, class instances are generated according to the incoming parameters, and the instances are analyzed, or: the incoming upgrade information is received directly and,
in the delete table task, the class is analyzed,
in the task of deleting data, the data deleting range is detected, when all data are deleted, the SQL statement generation layer is switched to process, when part of data are deleted, the class, KV parameters and extra parameters are analyzed, and variables in the parameters are analyzed.
On the basis of the technical scheme, the object data layout layer respectively completes the following processing in each operation:
in the task of creating the table, a mapping table of variable types and database types is established, information necessary for constructing the database table, such as table names, table paths and the like,
in the task of inserting data, a mapping table of variable types and database types is established, a mapping table of variable types and variable data is generated,
in the task of updating data, a mapping table of variable types and database types is established, a mapping table of variable types and variable data is generated,
in the task of inquiring data, setting condition inquiry according to parameters, establishing a mapping table of variable types and database types, generating a mapping table of variable types and variable data,
in the task of upgrading the database, when no upgrade information is transmitted, a mapping table of variable types and database types is established, the old table is analyzed, a database model of the old table is generated,
in the task of deleting data, when partial data is deleted, a mapping table of variable types and database types is established, and a mapping table of variable types and variable data is generated.
On the basis of the technical scheme, the SQL statement generation layer respectively completes the following processing in each operation:
in the task of creating tables, classes are expanded into database models, mapping tables are established, SQL statements are generated according to the database models,
in the task of inserting data, the class is expanded into a database model, a mapping table is established, SQL sentences are generated according to the database model,
in the task of updating data, a database expansion model is generated, SQL statements are generated according to the database expansion model,
in the data query task, a database expansion model is generated, SQL statements are generated according to the database expansion model,
in the task of upgrading the database, when there is no incoming upgrading information, generating a database expansion model, converting and comparing the new data model and the old data model, processing the new data model and the old data model for the SQL module, generating SQL sentences according to the database expansion model, when there is incoming upgrading information, generating the database expansion model, generating SQL sentences according to the database expansion model,
in the delete table task, the class is expanded into a database model, a mapping table is established, SQL statements are generated according to the database model,
in the task of deleting data, when part of data is deleted, a database expansion model is generated, SQL statements are generated according to the database expansion model, when all the data is deleted, all the data models are generated according to class information, and the SQL statements are generated according to all the data models.
According to the method for rapidly reading the database, the complicated and repeated SQL sentences are packaged, the code writing amount during development is reduced, the development efficiency is improved, errors caused by repeated labor are effectively avoided, corresponding processing tasks are set according to the operation, the operation is standardized and streamlined, a standardized module with strong universality is formed, the compatibility and the reliability of the algorithm are improved, and the method is easy to debug and maintain.
Drawings
The invention has the following drawings:
FIG. 1 is a block flow diagram of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
As shown in fig. 1, the method for quickly reading a database according to the present invention includes the following steps:
the operation related to database reading and writing is divided into four processing levels, which are sequentially as follows:
and the data type analysis layer completes the following processing in the layer:
the type of the variable in the class is analyzed,
analyzing the type of the variable in the parameter, generating a mapping table of the variable type and the database type,
and an object data layout layer, wherein the following processing is completed:
establishing a mapping between the variable type and the database type,
a variable type and variable data mapping table is generated,
the information necessary to build the database tables is,
the SQL statement generates a layer, and in the layer, the following processing is completed:
the class is expanded into a database model,
generating a database expansion model
SQL statements are generated from the database model or database expansion model,
the database operation layer, in the present layer, completes the following processes:
according to the generated SQL statement, executing corresponding operation,
and feeding back an execution result.
On the basis of the technical scheme, before the data type analysis layer is processed, the database is opened according to the preset,
if the opening fails, feeding back failure information, then executing database closing operation,
and if the opening is successful, switching to a data type analysis layer for processing.
On the basis of the technical scheme, the database closing operation is executed after the database operation layer carries out processing.
On the basis of the technical scheme, the data type analysis layer presets the following processing tasks according to different operations:
create a table task, invoke the task through the create table interface,
inserting a data task, invoking the task through an inserting data interface,
an update data task, which is invoked through an update data interface,
a query data task, which is invoked through a query data interface,
a database upgrading task, which is called through a database upgrading interface,
a delete table task, which is invoked through a delete table interface,
and deleting the data task, and calling the task through a data deleting interface.
On the basis of the technical scheme, in the task of creating the table, the table interface is created to obtain the class and other parameters, the data type analysis layer is switched to process the data type analysis layer,
in the task of inserting data, after the task is called by inserting a data interface, a judgment table is established and is transferred to a data type analysis layer for processing,
in the task of updating data, after the task is called by the data updating interface, the judgment table is established and has no change, the data type analysis layer is switched to process,
in the data query task, after the data query interface calls the task, the judgment table is established and is not changed, the data type analysis layer is switched to process,
in the task of upgrading the database, after the task is called by the database upgrading interface, the table is judged to be established and the structure (table structure) is changed, the data type analysis layer is switched to process the table,
in the task of deleting the table, after the interface of the deleting table calls the task, the deleting table is judged to be established and is transferred to a data type analyzing layer for processing,
in the task of deleting data, after the task is called by the data deleting interface, the judgment table is established and is not changed, and the data type analysis layer is switched to process the data type analysis layer.
On the basis of the technical scheme, the data type analysis layer respectively completes the following processing in each operation:
in the create table task, classes are analyzed and extracted: class name, variables contained in the class, inherited protocols, type analysis of variables in the class,
in the insert data task, classes are analyzed and extracted: class name, variables contained in the class, inherited protocols, type analysis of variables in the class,
in the task of updating data, class, KV parameter and extra parameter are analyzed, the variable in the parameter is analyzed,
in the task of inquiring data, class, KV parameter and extra parameter are analyzed, the variable in the parameter is analyzed,
in the database upgrade task, new class information is analyzed, class instances are generated according to the incoming parameters, and the instances are analyzed, or: the incoming upgrade information is received directly and,
in the delete table task, the class is analyzed,
in the task of deleting data, the data deleting range is detected, when all data are deleted, the SQL statement generation layer is switched to process, when part of data are deleted, the class, KV parameters and extra parameters are analyzed, and variables in the parameters are analyzed.
On the basis of the technical scheme, the object data layout layer respectively completes the following processing in each operation:
in the task of creating the table, a mapping table of variable types and database types is established, information necessary for constructing the database table, such as table names, table paths and the like,
in the task of inserting data, a mapping table of variable types and database types is established, a mapping table of variable types and variable data is generated,
in the task of updating data, a mapping table of variable types and database types is established, a mapping table of variable types and variable data is generated,
in the task of inquiring data, setting condition inquiry according to parameters, establishing a mapping table of variable types and database types, generating a mapping table of variable types and variable data,
in the task of upgrading the database, when no upgrade information is transmitted, a mapping table of variable types and database types is established, the old table is analyzed, a database model of the old table is generated,
in the task of deleting data, when partial data is deleted, a mapping table of variable types and database types is established, and a mapping table of variable types and variable data is generated.
On the basis of the technical scheme, the SQL statement generation layer respectively completes the following processing in each operation:
in the task of creating tables, classes are expanded into database models, mapping tables are established, SQL statements are generated according to the database models,
in the task of inserting data, the class is expanded into a database model, a mapping table is established, SQL sentences are generated according to the database model,
in the task of updating data, a database expansion model is generated, SQL statements are generated according to the database expansion model,
in the data query task, a database expansion model is generated, SQL statements are generated according to the database expansion model,
in the task of upgrading the database, when there is no incoming upgrading information, generating a database expansion model, converting and comparing the new data model and the old data model, processing the new data model and the old data model for the SQL module, generating SQL sentences according to the database expansion model, when there is incoming upgrading information, generating the database expansion model, generating SQL sentences according to the database expansion model,
in the delete table task, the class is expanded into a database model, a mapping table is established, SQL statements are generated according to the database model,
in the task of deleting data, when part of data is deleted, a database expansion model is generated, SQL statements are generated according to the database expansion model, when all the data is deleted, all the data models are generated according to class information, and the SQL statements are generated according to all the data models.
Those not described in detail in this specification are within the skill of the art.
Claims (8)
1. A method for rapidly reading a database is characterized by comprising the following steps:
the operation related to database reading and writing is divided into four processing levels, which are sequentially as follows:
and the data type analysis layer completes the following processing in the layer:
the type of the variable in the class is analyzed,
analyzing the type of the variable in the parameter, generating a mapping table of the variable type and the database type,
and an object data layout layer, wherein the following processing is completed:
establishing a mapping between the variable type and the database type,
a variable type and variable data mapping table is generated,
the information necessary to build the database tables is,
the SQL statement generates a layer, and in the layer, the following processing is completed:
the class is expanded into a database model,
generating a database expansion model
SQL statements are generated from the database model or database expansion model,
the database operation layer, in the present layer, completes the following processes:
according to the generated SQL statement, executing corresponding operation,
and feeding back an execution result.
2. The method for fast reading of a database according to claim 1, wherein: before the data type analysis layer is processed, opening a database according to the preset,
if the opening fails, feeding back failure information, then executing database closing operation,
and if the opening is successful, switching to a data type analysis layer for processing.
3. The method for fast reading of a database according to claim 1, wherein: and after the database operation layer performs processing, executing database closing operation.
4. The method for fast reading of a database according to claim 1, wherein: the data type analysis layer presets the following processing tasks according to different operations:
create a table task, invoke the task through the create table interface,
inserting a data task, invoking the task through an inserting data interface,
an update data task, which is invoked through an update data interface,
a query data task, which is invoked through a query data interface,
a database upgrading task, which is called through a database upgrading interface,
a delete table task, which is invoked through a delete table interface,
and deleting the data task, and calling the task through a data deleting interface.
5. The database fast reading method according to claim 4, characterized in that: in the task of creating the table, the table interface is created to obtain the class and other parameters, wherein the other parameters refer to the necessary information for constructing the database table, the information is transferred to a data type analysis layer for processing,
in the task of inserting data, after the task is called by inserting a data interface, a judgment table is established and is transferred to a data type analysis layer for processing,
in the task of updating data, after the task is called by the data updating interface, the judgment table is established and has no change, the data type analysis layer is switched to process,
in the data query task, after the data query interface calls the task, the judgment table is established and is not changed, the data type analysis layer is switched to process,
in the task of upgrading the database, after the task is called by the database upgrading interface, the judgment table is established and the structure is changed, the data type analysis layer is switched to process,
in the task of deleting the table, after the interface of the deleting table calls the task, the deleting table is judged to be established and is transferred to a data type analyzing layer for processing,
in the task of deleting data, after the task is called by the data deleting interface, the judgment table is established and is not changed, and the data type analysis layer is switched to process the data type analysis layer.
6. The database fast reading method according to claim 4, characterized in that: the data type analysis layer respectively completes the following processing in each operation:
in the create table task, classes are analyzed and extracted: class name, variables contained in the class, inherited protocols, type analysis of variables in the class,
in the insert data task, classes are analyzed and extracted: class name, variables contained in the class, inherited protocols, type analysis of variables in the class,
in the task of updating data, class, KV parameter and extra parameter are analyzed, the variable in the parameter is analyzed,
in the task of inquiring data, class, KV parameter and extra parameter are analyzed, the variable in the parameter is analyzed,
in the database upgrade task, new class information is analyzed, class instances are generated according to the incoming parameters, and the instances are analyzed, or: the incoming upgrade information is received directly and,
in the delete table task, the class is analyzed,
in the task of deleting data, the data deleting range is detected, when all data are deleted, the SQL statement generation layer is switched to process, when part of data are deleted, the class, KV parameters and extra parameters are analyzed, and variables in the parameters are analyzed.
7. The database fast reading method according to claim 4, characterized in that: the object data layout layer respectively completes the following processing in each operation:
in the task of creating the table, a mapping table of variable types and database types is established, necessary information for constructing the database table is established, the necessary information for constructing the database table comprises a table name and a table path,
in the task of inserting data, a mapping table of variable types and database types is established, a mapping table of variable types and variable data is generated,
in the task of updating data, a mapping table of variable types and database types is established, a mapping table of variable types and variable data is generated,
in the task of inquiring data, setting condition inquiry according to parameters, establishing a mapping table of variable types and database types, generating a mapping table of variable types and variable data,
in the task of upgrading the database, when no upgrade information is transmitted, a mapping table of variable types and database types is established, the old table is analyzed, a database model of the old table is generated,
in the task of deleting data, when partial data is deleted, a mapping table of variable types and database types is established, and a mapping table of variable types and variable data is generated.
8. The database fast reading method according to claim 4, characterized in that: the SQL statement generation layer respectively completes the following processing in each operation:
in the task of creating tables, classes are expanded into database models, mapping tables are established, SQL statements are generated according to the database models,
in the task of inserting data, the class is expanded into a database model, a mapping table is established, SQL sentences are generated according to the database model,
in the task of updating data, a database expansion model is generated, SQL statements are generated according to the database expansion model,
in the data query task, a database expansion model is generated, SQL statements are generated according to the database expansion model,
in the task of upgrading the database, when there is no incoming upgrading information, generating a database expansion model, converting and comparing the new data model and the old data model, processing the new data model and the old data model for the SQL module, generating SQL sentences according to the database expansion model, when there is incoming upgrading information, generating the database expansion model, generating SQL sentences according to the database expansion model,
in the delete table task, the class is expanded into a database model, a mapping table is established, SQL statements are generated according to the database model,
in the task of deleting data, when part of data is deleted, a database expansion model is generated, SQL statements are generated according to the database expansion model, when all the data is deleted, all the data models are generated according to class information, and the SQL statements are generated according to all the data models.
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