CN105005572A - Database mapping method and device - Google Patents
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Abstract
The invention discloses a database mapping method. The method comprises the steps as follows: establishing a mapping driver layer between an analytical layer of a relational database and a storage layer of a non relational database, and establishing connections between the mapping driver layer and the analytical layer of the relational database and between the mapping driver layer and the storage layer of the non relational database. The method further comprises the steps as follows: the analytical layer of the relational database transmits an inquiring instruction to the mapping driver layer; the mapping driver layer obtains a data dictionary according to the inquiring instruction, and analyzes a Key-Value key value pair after obtaining the Key-Value key value pair from the storage layer of the non relational database; the mapping driver layer maps a relational data structure to the value of the analyzed Key-Value key value pair according to the data dictionary, and processing the mapped relational data. The invention further discloses a database mapping device.
Description
Technical Field
The present invention relates to data service processing technologies, and in particular, to a database mapping method and apparatus.
Background
Currently, databases are generally classified into relational databases and non-relational databases. Generally, a relational database is a database established on the basis of a relational model, data in the database are processed by means of mathematical concepts and methods such as set algebra and the like, and a formatted data structure is stored in a table form; wherein the watch has a fixed watch structure; the relational database product supports a general and extremely-powerful relational database Structured Query Language (SQL), and has the characteristics of strong database transaction consistency, strong data reading and writing capability, complex SQL support, particularly multi-table correlation Query and the like.
The non-relational database can also be called NoSQL (not Only SQL) database, when the non-relational database stores data, a fixed table structure is not needed, connection operation does not exist, the characteristics of supporting high concurrent reading and writing of the database, high-efficiency storage and access of mass data, high expandability and high availability of the database and the like are provided, Key-Value storage is emphasized, and the performance advantage which cannot be compared with the relational database in large data access is provided.
However, at present, the relational database and the non-relational database exist in independent product forms respectively and are incompatible with each other; for the application scene of big data, the database product is required to provide high-concurrency and fast-reading and-writing online operation capability and have the offline statistical operation function of SQL query of background loading, and the non-relational database product cannot meet the market demand.
Disclosure of Invention
In view of this, embodiments of the present invention are expected to provide a database mapping method and apparatus, which can implement mapping between a relational database and a non-relational database, so that the non-relational database can support a complex SQL query statistics function at the same time.
The technical scheme of the embodiment of the invention is realized as follows:
the embodiment of the invention provides a database mapping method, which comprises the following steps: constructing a mapping driving layer between an analysis layer of a relational database and a storage layer of a non-relational database, and establishing connection between the mapping driving layer and the analysis layer of the relational database and the storage layer of the non-relational database; the method further comprises the following steps:
the analysis layer of the relational database sends a query instruction to the mapping driving layer; the mapping driving layer acquires a data dictionary according to the query instruction, and analyzes the Key-Value Key Value pair after acquiring the Key-Value Key Value pair from the storage layer of the non-relational database; and the mapping driving layer maps the relational data structure to the analyzed Key-Value Key Value logarithm Value according to the data dictionary, and processes the mapped relational data.
Preferably, the data dictionary is: and (4) mapping relation between the relational database and the non-relational database.
Preferably, the obtaining, by the mapping driver layer, a Key-Value pair from a storage layer of the non-relational database includes: and the mapping driving layer sends an instruction to a storage layer of the non-relational database to request to acquire the Key-Value Key Value pair, and the storage layer of the non-relational database sends the Key-Value Key Value pair to the mapping driving layer.
Preferably, the parsing, by the mapping driver layer, the Key-Value pair includes: after receiving the Key-Value Key Value pair, the mapping driving layer analyzes the Key-Value Key Value pair according to a preset rule to obtain an execution plan for analyzing the relational database;
wherein the preset rule is as follows: and creating a new ordered sequence or a loading longitudinal table of the non-relational database according to the Key Value in the Key-Value Key Value pair.
Preferably, the mapping driver layer maps the relational data structure to the resolved Key-Value Key logarithm Value according to the data dictionary, including: and after obtaining the execution plan, the mapping drive layer converts the execution plan of the relational database into read-write codes of the non-relational data, and obtains the Key-Value Key Value pair of the non-relational database according to the read-write codes.
The embodiment of the invention also provides a database mapping device, which comprises: a relational database parser, a mapping driver, and a non-relational database memory; wherein,
the relational database parser is used for sending a query instruction to the mapping driver;
the mapping driver is used for acquiring a data dictionary according to a query instruction sent by the relational database parser, and parsing the Key-Value Key-Value pair after acquiring the Key-Value Key-Value pair from the non-relational database memory;
the non-relational database memory is used for returning the Key-Value Key Value pair to the mapping driver;
and the mapping driver is also used for mapping the relational data structure to the analyzed Key-Value Key Value logarithm Value according to the data dictionary and processing the mapped relational data structure.
Preferably, the data dictionary is: and (4) mapping relation between the relational database and the non-relational database.
Preferably, the mapping driver obtains the Key-Value pair from the non-relational database storage, including: and the mapping driver sends an instruction to the non-relational database memory to request to acquire the Key-Value Key Value pair, and the non-relational database memory sends the Key-Value Key Value pair to the mapping driver layer.
Preferably, the mapping driver parses the Key-Value pair, including: after receiving the Key-Value Key Value pair, the mapping driver layer analyzes the Key-Value Key Value pair according to a preset rule to obtain an execution plan for analyzing the relational database;
wherein the preset rule is as follows: and creating a new ordered sequence or a loading longitudinal table of the non-relational database according to the Key Value in the Key-Value Key Value pair.
Preferably, the mapping driver maps the relational data structure to the resolved Key-Value pair Value according to the data dictionary, and includes:
and after obtaining the execution plan, the mapping drive layer converts the execution plan of the relational database into read-write codes of the non-relational data, and obtains the Key-Value Key Value pair of the non-relational database according to the read-write codes.
According to the database mapping method and device provided by the embodiment of the invention, a mapping driving layer is established between an analysis layer of a relational database and a non-relational storage layer of a non-relational database, and connection between the mapping driving layer and the analysis layer of the relational database and the storage layer of the non-relational database is established; after an analysis layer of the relational database sends a query instruction to a mapping drive layer, the mapping drive layer acquires a data dictionary according to the query instruction and acquires a Key-Value Key Value pair from a storage layer of a non-relational database; and the mapping driving layer maps the relational data structure to the analyzed Key-Value Key Value logarithm Value according to the data dictionary and processes the mapped relational data. Therefore, the method can realize direct query of the non-relational database by the relational database, realize mapping between the relational database and the non-relational database while taking the advantages of the non-relational database with a Key-Value storage mode into consideration, and enable the non-relational database to simultaneously support a complex SQL query statistical function.
Drawings
FIG. 1 is a schematic diagram of a basic processing flow of a database mapping method according to an embodiment of the present invention;
FIG. 2 is a detailed processing flow diagram of a database mapping method according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a database mapping apparatus according to an embodiment of the present invention.
Detailed Description
In the embodiment of the invention, a mapping driving layer is constructed between an analysis layer of a relational database and a storage layer of a non-relational database, and connection between the mapping driving layer and the analysis layer of the relational database and the storage layer of the non-relational database is established; the analysis layer of the relational database sends a query instruction to the mapping drive layer, the mapping drive layer acquires a data dictionary according to the query instruction, and acquires a Key-Value Key Value pair from the storage layer of the non-relational database; and the mapping driving layer maps the relational data structure to the analyzed Key-Value Key Value logarithm Value according to the data dictionary.
Specifically, the obtaining, by the mapping driver layer, the Key-Value pair from the storage layer of the non-relational database includes: the mapping driving layer sends a request instruction to a storage layer of the non-relational database to request to acquire the Key-Value Key Value pair, and the storage layer of the non-relational database sends the Key-Value Key Value pair to the mapping driving layer.
Further, after receiving the Key-Value Key Value pair, the mapping driver layer analyzes the Key-Value Key Value pair according to a preset rule to obtain an execution plan for analyzing the relational database.
The basic processing flow of the database mapping method of the embodiment of the invention is shown in fig. 1, and comprises the following steps:
step 101, constructing a mapping driving layer between an analysis layer of a relational database and a storage layer of a non-relational database, and establishing connection between the mapping driving layer and the analysis layer of the relational database and the storage layer of the non-relational database;
here, the connection between the parsing layer and the mapping driving layer and the connection between the mapping driving layer and the storage layer are established, so that the mapping driving layer can interactively transmit signaling and data with the parsing layer and the storage layer respectively.
102, sending a query instruction to a mapping driving layer by an analysis layer of the relational database;
the query instruction is analyzed by an analysis layer of the relational database.
103, the mapping driving layer acquires a data dictionary according to the query instruction, and analyzes the Key-Value Key Value pair after acquiring the Key-Value Key Value pair from the storage layer of the non-relational database;
wherein the data dictionary comprises: the database management system automatically updates the relational database to obtain a data set; the mapping driving layer acquires the Value sequence of the Key-Value Key Value pair from the data dictionary;
specifically, the obtaining, by the mapping driver layer, a Key-Value pair from a storage layer of the non-relational database includes: the mapping driving layer sends a request instruction to a storage layer of the non-relational database to request to acquire a Key-Value Key Value pair, and the storage layer of the non-relational database sends the Key-Value Key Value pair to the mapping driving layer;
further, after receiving the Key-Value pair, the mapping driver layer parses the Key-Value pair according to a preset rule, that is: and resolving the Key-Value Key Value pair into a temporary general table of a non-relational database to obtain an execution plan for resolving the relational database.
Wherein the preset rule is as follows: and creating a new ordered sequence or a loading longitudinal table of the non-relational database according to the Key Value in the Key-Value Key Value pair.
Step 104, the mapping driving layer maps the relational data structure to the analyzed Key-Value Key Value logarithm Value according to the data dictionary, and processes the mapped relational data;
specifically, after obtaining the execution plan, the mapping driver layer converts the relational database execution plan into a read-write code of non-relational data, and obtains a Key-Value Key Value pair of the non-relational database according to the read-write code.
The mapping driving layer processes the mapped relational data, and comprises the following steps: and performing data conversion, checking and statistics on the mapped relational data, and returning a query result in a relational data form.
The technical solution of the present invention is further elaborated below with reference to the drawings and the specific embodiments.
The detailed processing flow diagram of the database mapping method in the embodiment of the invention is shown in fig. 2:
step 201, a user sends an SQL query instruction to an analysis layer of a relational database;
specifically, the user can send an SQL query instruction to the parsing layer of the relational database through the ODBC/JDBC standard interface.
Before performing step 201, the method further comprises: and constructing a mapping driving layer between the analysis layer of the relational database and the storage layer of the non-relational database.
Step 202, after receiving the SQL query command, the parsing layer of the relational database parses the SQL query command, and sends the parsed SQL query command to the mapping driver layer.
Step 203, after receiving the analyzed SQL query instruction, the mapping driver layer acquires a data dictionary according to the content of the SQL query instruction;
wherein the data dictionary comprises: the database management system automatically updates the relational database to obtain a data set; and the mapping driving layer acquires the Value sequence of the Key-Value Key Value pair from the data dictionary.
Step 204, when the distributed tasks are judged to be required to be produced, the distributed tasks are produced and distributed to the processing nodes;
specifically, whether the distributed tasks need to be produced is judged according to the number of the task connections, the real-time requirement of the task connections and the fault tolerance requirement.
In step 205, in a distributed task, a connection between the mapping driver layer and the storage layer of the non-relational database is created.
Step 206, mapping the driver layer to request to obtain a Key-Value Key Value pair;
specifically, the mapping driving layer sends an instruction to a storage layer of the non-relational database to request to acquire a Key-Value Key Value pair.
Step 207, the storage layer of the non-relational database sends Key-Value Key Value pairs to the mapping driver layer.
Step 208, after receiving the Key-Value Key Value pair, the mapping driver layer analyzes the Key-Value Key Value pair according to a preset rule;
specifically, the mapping driver layer analyzes the Key-Value Key Value pair according to a preset rule to obtain an executive meter for analyzing the relational database;
wherein the preset rule is as follows: and creating a new ordered sequence or a loading longitudinal table of the non-relational database according to the Key Value in the Key-Value Key Value pair.
Step 209, according to the data dictionary obtained in step 203, mapping the relational data structure to the analyzed Key-Value Key Value logarithm Value;
specifically, after obtaining the execution plan, the mapping driver layer converts the relational database execution plan into a read-write code of non-relational data, and obtains a Key-Value Key Value pair of the non-relational database according to the read-write code.
Step 210, processing the mapped relational data;
the mapping driving layer processes the mapped relational data, and the processing comprises the following steps: and performing data conversion, checking and statistics on the mapped relational data, and returning a query result in a relational data form.
In order to implement the foregoing database mapping method, an embodiment of the present invention further provides a database mapping apparatus, where a structure of the database mapping apparatus is shown in fig. 3, and the database mapping apparatus includes: a relational database parser 11, a mapping driver 12, and a non-relational database memory 13; wherein,
a relational database parser 11 for sending a query instruction to the mapping driver 12;
the mapping driver 12 is configured to obtain a data dictionary according to the query instruction sent by the relational database parser 11, and parse the Key-Value pair after obtaining the Key-Value pair from the non-relational database memory;
a non-relational database memory 13 for returning Key-Value pairs to the mapping driver 12;
the mapping driver 12 is further configured to map the relational data structure to the resolved Key-Value pair Value according to the data dictionary, and process the mapped relational data structure.
Further, the data dictionary is: and (4) mapping relation between the relational database and the non-relational database.
Further, the mapping driver 12 obtains Key-Value pairs from the non-relational database storage, including:
the mapping driver 12 sends an instruction to the non-relational database storage 13 to request to acquire the Key-Value pair, and the non-relational database storage sends the Key-Value pair to the mapping driver layer.
Further, the mapping driver 12 parses the Key-Value pair, including:
after receiving the Key-Value Key Value pair, the mapping driver 12 analyzes the Key-Value Key Value pair according to a preset rule to obtain an execution plan for analyzing the relational database;
wherein the preset rule is as follows: and creating a new ordered sequence or a loading longitudinal table of the non-relational database according to the Key Value in the Key-Value Key Value pair.
Further, the mapping driver 12 maps the relational data structure to the resolved Key-Value Key logarithm Value according to the data dictionary, including: and after obtaining the execution plan, the mapping drive layer converts the execution plan of the relational database into read-write codes of the non-relational data, and obtains the Key-Value Key Value pair of the non-relational database according to the read-write codes.
In practical applications, the functions of the relational database parser 11, the mapping driver 12, and the non-relational database memory 13 may be implemented by a Central Processing Unit (CPU), a microprocessor unit (MPU), a Digital Signal Processor (DSP), or a programmable gate array (FPGA).
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the scope of the present invention.
Claims (10)
1. A database mapping method, the method comprising: constructing a mapping driving layer between an analysis layer of a relational database and a storage layer of a non-relational database, and establishing connection between the mapping driving layer and the analysis layer of the relational database and the storage layer of the non-relational database; the method further comprises the following steps:
the analysis layer of the relational database sends a query instruction to the mapping driving layer;
the mapping driving layer acquires a data dictionary according to the query instruction, and analyzes the Key-Value Key Value pair after acquiring the Key-Value Key Value pair from the storage layer of the non-relational database;
and the mapping driving layer maps the relational data structure to the analyzed Key-Value Key Value logarithm Value according to the data dictionary, and processes the mapped relational data.
2. The database mapping method according to claim 1, wherein the data dictionary is: and (4) mapping relation between the relational database and the non-relational database.
3. The database mapping method according to claim 1, wherein the mapping driver layer obtains the Key-Value pair from the storage layer of the non-relational database, including:
and the mapping driving layer sends an instruction to a storage layer of the non-relational database to request to acquire the Key-Value Key Value pair, and the storage layer of the non-relational database sends the Key-Value Key Value pair to the mapping driving layer.
4. The database mapping method according to claim 1, wherein the mapping driver layer parses the Key-Value pair, including:
after receiving the Key-Value Key Value pair, the mapping driving layer analyzes the Key-Value Key Value pair according to a preset rule to obtain an execution plan for analyzing the relational database;
wherein the preset rule is as follows: and creating a new ordered sequence or a loading longitudinal table of the non-relational database according to the Key Value in the Key-Value Key Value pair.
5. The database mapping method according to claim 1, wherein the mapping driver layer maps the relational data structure to the resolved Key-Value Key logarithm Value according to the data dictionary, and the mapping driver layer comprises:
and after obtaining the execution plan, the mapping drive layer converts the execution plan of the relational database into read-write codes of the non-relational data, and obtains the Key-Value Key Value pair of the non-relational database according to the read-write codes.
6. An apparatus for database mapping, the apparatus comprising:
a relational database parser, a mapping driver, and a non-relational database memory; wherein,
the relational database parser is used for sending a query instruction to the mapping driver;
the mapping driver is used for acquiring a data dictionary according to a query instruction sent by the relational database parser, and parsing the Key-Value Key-Value pair after acquiring the Key-Value Key-Value pair from the non-relational database memory;
the non-relational database memory is used for returning the Key-Value Key Value pair to the mapping driver;
and the mapping driver is also used for mapping the relational data structure to the analyzed Key-Value Key Value logarithm Value according to the data dictionary and processing the mapped relational data structure.
7. The database mapping apparatus according to claim 6, wherein the data dictionary is: and (4) mapping relation between the relational database and the non-relational database.
8. The database mapping apparatus according to claim 6, wherein the mapping driver obtains the Key-Value pair from the non-relational database storage, including:
and the mapping driver sends an instruction to the non-relational database memory to request to acquire the Key-Value Key Value pair, and the non-relational database memory sends the Key-Value Key Value pair to the mapping driver layer.
9. The database mapping apparatus according to claim 6, wherein the mapping driver parses the Key-Value pair, including:
after receiving the Key-Value Key Value pair, the mapping driver layer analyzes the Key-Value Key Value pair according to a preset rule to obtain an execution plan for analyzing the relational database;
wherein the preset rule is as follows: and creating a new ordered sequence or a loading longitudinal table of the non-relational database according to the Key Value in the Key-Value Key Value pair.
10. The database mapping apparatus according to claim 6, wherein the mapping driver maps the relational data structure to the resolved Key-Value Key logarithm according to the data dictionary, and comprises:
and after obtaining the execution plan, the mapping drive layer converts the execution plan of the relational database into read-write codes of the non-relational data, and obtains the Key-Value Key Value pair of the non-relational database according to the read-write codes.
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