CN105868167A - Naming resolution method for multiple layers of nested json data - Google Patents

Abstract

A naming analysis method for n-layer nested json-format data, comprising the following steps: firstly, establishing a data source based on n-layer nested json-format data; Parse the data; finally, judge whether the termination condition is satisfied, and if the termination condition is satisfied, the generated string is the non-nested json format data obtained by parsing. The present invention provides a naming analysis method for n-layer nested json format data on the basis of ensuring the accuracy of data exchange and analysis and improving the efficiency of data exchange and analysis.

Description

A naming and parsing method for multi-layer nested json format data

technical field

The invention relates to application fields such as communication network information, network planning and communication protocols, and in particular to a method for naming and analyzing multi-layer nested data in JSON format.

Background technique

With the rapid development of informatization and industrialization, the level of informatization of enterprises has been continuously improved, and the unsmooth information exchange has also become a major bottleneck in informatization construction. As an important part of various computer network applications, data exchange has gradually become the main means to solve the phenomenon of "information islands", and it is also a difficult problem that must be faced in the current information construction. With the rapid development of Web technology, applications based on B/S architecture are becoming more and more abundant, and there are more and more methods for data exchange and data analysis between client and server. In traditional engineering applications, the traditional way of data exchange and data analysis between client and server has low exchange and analysis efficiency, which seriously affects the system effect and user experience based on the B/S architecture system. People are trying to find A data exchange format with low data transmission overhead to improve the efficiency of data transmission, so that the application program can be executed efficiently and the user experience is better.

JSON (JavaScript Object Notation) is a lightweight data exchange format based on a subset of ECMAScript. json adopts a text format that is completely independent of language, but also uses habits similar to the C language family including C, C++, C#, Java, JavaScript, Perl, Python, etc. These features make JSON an ideal data exchange language. It is easy for people to read and write, and it is also easy for machines to parse and generate, which greatly improves the network transmission rate. The data format of json format data is relatively simple, easy to read and write, the format is compressed, occupies relatively small bandwidth, and supports multiple languages at the same time, which is convenient for server-side analysis. For most web applications, there is no need for complex XML to transfer data at all, and the json data exchange format provides better simplicity and flexibility.

XML Extended Markup Language is used to mark data and define data types. It is a source language that allows users to define their own markup language. The biggest advantage of XML lies in the management of various data. Any system can read XML data through an XML parser, so its data can pass everywhere without worrying about the problem that the system does not support. Because of its good cross-platform and versatility, XML is gradually used as an intermediate medium to complete data exchange and sharing, and will be used for data exchange of heterogeneous databases, which can better overcome the shortcomings of traditional data exchange methods. However, the XML file is relatively large, the file format is relatively complicated, and the transmission bandwidth is relatively large. Both the server and the client need to spend a lot of code to parse the XML, which makes the server and client code become extremely complicated and difficult to maintain. Parsing XML with the server takes more resources and time. In particular, the ways of parsing XML between different browsers are inconsistent, requiring repeated writing of a lot of codes, and the development efficiency is low.

Therefore, there are many defects in the current data parsing technology, which need us to improve.

Contents of the invention

In order to overcome the deficiencies of low data exchange and analysis efficiency of existing naming analysis methods, the present invention provides a multi-layer nested JSON format data format that improves data exchange and analysis efficiency on the basis of ensuring data exchange and analysis accuracy. Name resolution method.

The technical solution adopted by the present invention to solve its technical problems is:

A method for naming and analyzing multi-layer nested data in json format, the method for naming and analyzing includes the following steps:

1) Parameter initialization: set a set of multi-layer nested json format data in Indicates the key value of data in json format, Indicates the data key value in json format The corresponding value, n indicates the number of nested layers of json format data, m indicates the number of groups of json format data corresponding to the nth layer, k, p, q, l, λ are used to identify the key and value for distinguishing json format data and {k,p,q,l,λ∈N+|0＞k＞p＞q＞l＞λ};

2) Parsing and naming json format data, the process is as follows:

2.1) judge whether str is json format data, if str is json format data, then enter step 2.2), otherwise proceed to step 2.6);

2.2) Set n=1, m=1, k=1, take a set of key-value pairs of data in json format, and the key value is value is

2.3) Judging whether k>λ is established, if the condition is established, enter step 2.4), otherwise proceed to step 2.8);

2.4) Determine whether the value is json format data, if the condition is established, enter step 2.5), otherwise proceed to step 2.6);

2.5) to As new json format data, the key value is value is Will and splice formation Go to step 2.3);

2.6) write the key and value into the new json format data string, and enter step 2.7);

2.7) m=m+1, k=k+1, take the data in json format, the key value is value is Go to step 2.3), where string is the generated new non-nested json format data;

2.8) After the parsing is completed, a new non-nested json format data string is generated as the obtained result.

The technical idea of the present invention is as follows: firstly, establish a data source based on n-layer nested json format data; then, use key-value pairs as the smallest unit to analyze the data sequentially from outside to inside; finally, judge whether the termination condition is satisfied, satisfy The string generated by the termination condition is the parsed non-nested JSON format data.

The beneficial effects of the invention are: on the basis of ensuring the accuracy of data exchange and analysis, the efficiency of data exchange and analysis is improved.

Description of drawings

Fig. 1 is a schematic diagram of a naming analysis method for n-layer nested json format data.

detailed description

The present invention will be further described below in conjunction with the accompanying drawings.

With reference to Fig. 1, a kind of naming analysis method of multi-layer nested json format data comprises the following steps: 1) parameter initialization: set a group of multi-layer nested json format data in Indicates the key value of data in json format, Indicates the data key value in json format The corresponding value, n indicates the number of nested layers of json format data, m indicates the number of groups of json format data corresponding to the nth layer, k, p, q, l, λ are used to identify the key and value for distinguishing json format data and {k,p,q,l,λ∈N+|0<k<p<q<l<λ};

2) Parsing and naming json format data, the process is as follows:

2.1) judge whether str is json format data, if str is json format data, then enter step 2.2), otherwise proceed to step 2.6), as shown in Figure 1, determine whether str is json format data;

2.2) Set n=1, m=1, k=1, take a set of key-value pairs of data in json format, and the key value is value is

2.3) judge whether k<λ is established, if the condition is established, enter step 2.4), otherwise proceed to step 2.8) determine whether condition A is established as shown in Figure 1;

2.4) 2.4) Determine whether the value is data in json format, if the condition is established, enter step 2.5), otherwise proceed to step 2.6), as shown in Figure 1, determine whether condition B is established;

2.5) to As new json format data, the key value is value is Will and splice formation Go to step 2.3); as shown in Figure 1, add 1 to n and k respectively, and splicing to form a key value;

2.6) Write the key and value into the new json format data string, and enter step 2.7), as shown in Figure 1, write the new json format data string;

2.7) m=m+1, k=k+1, take the data in json format, the key value is value is Go to step 2.3), where string is the generated new non-nesting json format data, as shown in Figure 1, m and k are respectively added by 1, and spliced to form a new key value;

2.8) After the parsing is completed, a new non-nested json format data string is generated as the obtained result.

In this example, the character string As an embodiment, a method for naming and parsing multi-layer nested json format data, which includes the following steps:

1) Parameter initialization: set a set of n-layer nested json format data in Indicates the key value of json format data, "hanghzou", "shanghai", "beijing" represent the key value of json format data the corresponding value;

2) Parsing and naming json format data:

2.1) judge whether str is json format data, if str is json format data, then enter step 2.2), otherwise proceed to step 2.6);

2.2) Set n=1, m=1, k=1, take a set of key-value pairs of data in json format, and the key value is value is

2.3) Judging whether k<λ is established, if the condition is established, enter step 2.4), otherwise proceed to step 2.8);

2.4) Determine whether the value is json format data, if the condition is established, enter step 2.5), otherwise proceed to step 2.6);

2.5) to As new json format data, the key value is value is Will and splice formation Go to step 2.3);

2.6) write the key and value into the new json format data string, and enter step 2.7);

2.7) m=m+1, k=k+1, take the data in json format, the key value is value is Go to step 2.3), where string is the generated new non-nested json format data;

2.8) After parsing, generate new non-nested json format data $\mathrm{the\; s}tri\mathrm{no}g=\{{\mathrm{name}}_{11}^1{\mathrm{name}}_{\mathrm{twenty\; one}}^2{:}^{\&prime;\&prime;}{\mathrm{hangzhou}}^{\&prime;\&prime;},{\mathrm{name}}_{11}^1{\mathrm{name}}_{\mathrm{twenty\; two}}^3{:}^{\&prime;\&prime;}{\mathrm{shanghai}}^{\&prime;\&prime;},{\mathrm{name}}_{12}^2{:}^{\&prime;\&prime;}{\mathrm{beijing}}^{\&prime;\&prime;},\}$ for the obtained results.

What have been set forth above is the excellent effect shown by an embodiment of the present invention, obviously the present invention is not only suitable for the above-mentioned embodiment, can be used under the premise of not departing from the basic spirit of the present invention and not exceeding the content involved in the essence of the present invention Make changes and implement them.

Claims (1)

1. A naming and analyzing method for data in json format with multiple layers of nesting is characterized in that: the naming resolution method comprises the following steps:

1) initializing parameters: setting a group of json format data nested in multiple layers Wherein,a key value representing the data in json format,representing json format data keyThe corresponding value, N represents the number of layers of json format data nesting, m represents the number of groups of json format data corresponding to the nth layer, k, p, q, l and lambda are used for identifying keys and values for distinguishing the json format data, and { k, p, q, l, lambda ∈ N + |0 < k < q < l < lambda };

2) the json format data is parsed and named as follows:

2.1) judging whether str is json format data, if str is json format data, entering a step 2.2), and if not, entering a step 2.6);

2.2) setting n to 1, m to 1, k to 1, taking a set of key value pairs of json format data, the key value beingHas a value of

2.3) judging whether k is more than lambda, if so, entering a step 2.4), and otherwise, turning to a step 2.8);

2.4) judging whether the value is json format data, if the condition is satisfied, entering a step 2.5), and if not, turning to a step 2.6);

2.5) toAs new json format data, a key value ofHas a value ofWill be provided withAndsplice formationTurning to step 2.3);

2.6) writing the key value and the value into a new json format data string, and entering the step 2.7);

2.7) m is m +1, k is k +1, json format data is taken, and the key value isHas a value ofTurning to step 2.3), wherein string is generated new data in json format without nesting;

2.8) the analysis is finished, and new json format data string without nesting is generated as the obtained result.