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Definition of JavaScript Yield Keyword

In Javascript, the yield keyword is used to pause the execution of the generator function, and the expression value that follows the yield keyword gets returned to the generator’s caller. This can be considered as a return keyword’s generator-based version. Therefore, this keyword can be called only straight from the generator function. However, this can’t be directly called from callbacks or nested functions. The following sections will discuss the syntax, working, and several other details on yield keywords.

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Below is the syntax of the yield keyword.

[var_name] = yield [expression]

Parameters:

Expression: Optional parameter; Value that has to be returned from the generator function through the iterator protocol.

var_name: Optional parameter; Optional value gets retrieved, which is passed to the next() generator method for resuming the execution.

Yield causes the call to the next() method of the generator to return an object of IteratorResult with two properties such as value and done. The value property denotes the result of yield expression evaluation and indicates whether the generator function has been fully completed or not. Done is false means it is not fully completed.

How does Yield Keyword Work in JavaScript?

To understand how the yield keyword works, let us look into an example with the steps that must be performed.

First, create an object for the generator function.

const it = func(0);

Here, it is the object, and func is the generator function.

Define the generator function with the code that has to be performed.

function* func(indx) { }

Print the result based on the generator function using the console.log() method as shown below.

console.log(it.next().value);

Notes: If yield expression is paused, the generator function’s execution remains paused until the generator’s next() method is called. When the next() method of the generator is called, the function resumes execution and runs till any one of the conditions is reached:

Throwhelps in throwing an exception from the generator function. Execution gets halted due to this.

When the generator function reaches the end, the generator function execution ends and returns an IteratorResult to the caller.

Examples of JavaScript Yield

Let us see some sample programs on the yield keyword.

Example #1

JavaScript program has a generator function that checks whether the index value is four and prints the corresponding results.

Code:

function* func(indx) { while (indx <4) { yield indx; indx++; } } const it = func(0); console.log(it.next().value); console.log(it.next().value); console.log(it.next().value); console.log(it.next().value); console.log(it.next().value);

Output:

In this program, an object is created for the generator function func. Then, the function is called and checks whether the first value is less than 4. As the first value is 0, which is passed to the function, 0 is returned first. Then the index value is incremented, and the result is printed according to the number of console.log() functions. An extra console.log() function, undefined, also gets printed. To avoid that, one console.log() function can be removed, as shown below.

function* func(indx) { while (indx <4) { yield indx; indx++; } } const it = func(0); console.log(it.next().value); console.log(it.next().value); console.log(it.next().value); console.log(it.next().value);

On executing the code, output changes as shown below. It can be seen that the undefined that is shown in the above result does not present here.

Example #2

JavaScript program has a generator function that prints the elements in the list by checking the length of the list.

Code:

function* count () { let samplelist = [5, 9, 10] for (let i = 0; i < samplelist.length; i++) { yield samplelist[i] } } let colg = count()  console.log(colg.next()) console.log(colg.next()) console.log(colg.next()) console.log(colg.next())

Output:

An object could be created for the generator function count in this program. Then, the function is called, creating a list of three numbers. Then the length of the list is checked, and each element in the list gets printed. As there is an extra console.log() function, undefined also gets printed. To avoid that, one console.log() function can be removed. As mentioned in the above sections, yield causes the call to the next() method of the generator to return an object of IteratorResult with two properties such as value and done. Here, the values are the numbers, false as execution is not completed.

Example #3

JavaScript program that has two generator functions that print the elements.

Code:

function* func2() { yield8; yield7; yield4; } function* func1() { yield6; yield* func2(); yield10; } const it = func1(0); console.log(it.next().value); console.log(it.next().value); console.log(it.next().value); console.log(it.next().value); console.log(it.next().value);

In this program, an object is created for the generator function func1. Here, there are two functions, func1 and func2. First, the function func1 is called, and as the first element is 6, it gets printed first. Then, inside the func1, func2 gets called, and the next elements printed will be from func2. Finally, on completing all the elements from func2, the rest of the elements in func1 gets printed s shown in the sample output.

Example #4

The JavaScript program has a generator function that prints the elements from the list and arguments.

Code:

function* func1() { yield* [78, 22]; yield* '56'; yield* Array.from(arguments); } const it = func1(12, 34); console.log(it.next().value); console.log(it.next().value); console.log(it.next().value); console.log(it.next().value); console.log(it.next().value); console.log(it.next().value);

Output:

In this program, an object is created for the generator function func. Then, the function is called, and elements in the list get printed. Next, the value 56 is split into 5 and 6. As you can see, the next elements are taken from the arguments. Here the arguments that are passed are 12 and 34. Hence, all these elements are printed in this order.

Conclusion

The yield keyword helps pause the generator function’s execution, and the expression value that follows the yield keyword gets returned to the generator’s caller. This article explains the syntax, working, and several other aspects of yield keywords in detail.

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How Does Join Work In Linux?

Introduction to Linux Join

In a certain situation in today’s world, when the data is sparse, it becomes necessary to join 2 files that contain parts of the same data. In other words, using join, one can achieve the utility of “joining” 2 files so that the join output makes more sense and is complete. There are many applications where the join command finds its use. Let us make it more clear to you with an example. Suppose there are 2 files; in one file, we have a list of employees, and in the other, their addresses. Join in Linux comes in handy for these kinds of join situations!

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Syntax:

The basic syntax attached to the join is:

join [OPTION]… FILE1 FILE2

Where FILE1 and FILE 2 are the files, where contents are located, and OPTION denotes the various options we would discuss here, which help achieve the desired requirement.

Syntax:

2. -v option: Way to ONLY print non-paired lines.

3. Join custom columns from 2 files

Syntax:

4. -i / –ignore-case option: Case insensitive join

Syntax:

OR

5. –check-order / –nocheck-order: Check for sort through all input lines.

Syntax:

OR

6. –help option: Display of help message.

Syntax:

Join --help How does Join Work in Linux?

Join in Linux finds its application in various uses, and in this section, we will look into some of the most used ones during the explanation of each of them; we will take turns explaining the working of each in due course of the section.

The first and foremost is the basic join, where the intent is to join 2 files through a common key; here, the key is also referred to as an index and acts like matching 2 contents on similar grounds. Think of this as a sports tournament, where teams play against each other on some common ground, may it be goals scored in soccer, runs scored in cricket, and so on. Now since only 2 teams can play against each other in contrast to so many teams in the tournament, there are some common rules to judge the winners and runners-up.

Now, with the same analogous situation, the 2 files will be compared, and wherever the index would match, the contents corresponding to the index will be copied along with a gap. Now, one needs to be careful about any gap or empty character in place as they will tend to be concatenated along. In the next one, there might be conditions where the “index” might be missing from any one of the files, and hence the user may choose to add the non-paired ones during the join with the intent that the result file is something like a union of the files and would contain “best of both worlds”.

Also, one must be aware of the act that the join in Linux is case sensitive. In some scenarios, the user would like to neglect the case of the indexes used for joining. Now, obviously, if the index is a number, the case won’t matter, but in case the index is alphabets, the ascii value of small caps in comparison to all caps is different and hence problematic for Linux to join by default. Hence, the user can use -i to make the indexes case-insensitive during the join.

At last, there are other sets of commands which one can access using –help in Linux, should one feel the need to explore more of Linux join.

Examples of Linux Join

Given below are the examples mentioned:

Example #1

Join with printing all non-paired rows in File 2.

Syntax:

join chúng tôi chúng tôi -a 2

Join with printing all non-paired rows in File 1.

Syntax:

join chúng tôi chúng tôi -a 1

Output:

Inputs files:

Join with printing all non-paired rows in File 2:

Join with printing all non-paired rows in File 1:

Example #2

Join with printing ONLY non-paired rows in File 2:

Syntax:

join chúng tôi chúng tôi -v 2

Join with printing ONLY non-paired rows in File 1:

Syntax:

join chúng tôi chúng tôi -v 1

Output:

Example #3

Syntax:

When the order of custom columns is different:

join chúng tôi chúng tôi -1 2 -2 1

When the order of the custom column is the same:

join chúng tôi chúng tôi -j 2

Output:

When the order of custom columns is different:

When the order of the custom column is the same:

Example #4

Syntax:

join -i chúng tôi file2.txt join --ignore-case chúng tôi file2.txt

Output:

When no option is used, the join returns empty!

Example #5

Syntax:

No option

join -i chúng tôi file2.txt

Using the option of check order

join -i --check-order chúng tôi file2.txt

Using the option to not check the order.

join -i --nocheck-order chúng tôi file2.txt

Output:

When the option “–nocheck-order” is not available, an error is reported if there is unsorted data. However, when the “–nocheck-order” option is used, the error is suppressed, and the unsorted line is simply omitted from the process.

Example #6

Syntax:

join --help

Output:

Conclusion

With the set of examples and explanations to the working of join in Linux, you must be quite used to the usage of the same, and this will enable you to experiment more with other arguments of Linux join.

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How Does Timestamp Work In Hive?

Introduction to Hive TimeStamp

Hive timestamps are an interpret to be time-zone less and stored as an offset in UNIX format. It is useful to get the updated information of tables at different internal changes to happen in the table. The hive timestamp format is YEAR-Month-Day-Hours-Minutes-seconds [YYYY-MM-DD HH:MM:SS] with an optional fraction of seconds. Anything else that will come with the above format should be read as a string and converted later.

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In the hive, the timestamp plays a vital role in different applications like transactions to identify the changes or updates on the hive tables.

Note: The hive timestamp is only available with starting Hive 0.8.0 version.

Syntax:

Note: In hive timestamp, we need to use the different timestamp or date function available in the hive and use it as per our requirement.

How does TimeStamp Work in Hive?

In the hive timestamp, it has the inbuilt functionality of timestamp, with the help of these predefined functions. We can work on the hive timestamp. It has the functionality to convert the hive timestamp to UNIX time format or form UNIX time format to hive timestamp. All the existing date time user definition functions like a month, day, year, hour, etc. are working with the TIMESTAMP data type.

The hive timestamp support below three conversions:

Integer numeric types: In integer numeric, we can interpret the UNIX timestamp in seconds

Floating-point numeric types: In floating-point numeric, we can interpret the UNIX timestamp in seconds with decimal format or precision

Strings type: In string type, we can interpret the JDBC compliant java.sql.Timestamp format “YYYY-MM-DD HH:MM: SS.fffffffff”. it considers 9 decimal place precision.

Note: The unix_timestamp() function is available in the hive. But it is providing the current timestamp in the second’s format. But the value is not fixed. Hence it is very difficult for optimizing the query and gets the related information. That’s why the unix_timestamp() function will deprecate from the version of hive 2.0.

Examples of HiveTimestamp

Following are the example are given below:

As discussed previously, we have the number of predefined functions available in the hive. Let’s explore one by one.

1. unix_timestamp()

The UNIX timestamp function is helpful to get the timestamp information in the second format. It is generally useful to calculate the time difference with a different application in Hadoop like YARN, HBase, etc.

Query:

select unix_timestamp();

Output:

2. unix_timestamp(string date)

The UNIX timestamp with string date function helps convert the human-readable time or string date into seconds. It considers the local time zone (the time zone is using by the cluster or node). The string format should be in “YYYY – MM – DD – HH – MM – SS”.

The return data type of unix_timestampfunction is “bigint”.

Query:

select unix_timestamp('2024-03-25 16:32:01');

Output:

3. unix_timestamp(string date, string pattern)

The UNIX timestamp with string date and patter function is helpful to convert the timestamp in different patterns. As per our requirement, we can get the timestamp in seconds as per “YYYY – MM – DD” or “HH: MM”.

The return data type the unix_timestamp function is “bigint”.

Query – “YYYY – MM – DD” Format

select unix_timestamp(‘2024-03-25′,’yyyy-MM-dd’);

Output:

Query – “HH: MM” Format

select unix_timestamp('16:39','HH:mm');

Output:

4. to_date(string timestamp)

In the above function, we can get the complete date information form the timestamp. The timestamp format should in hive timestamp only.

The return data type of to_date function varies from the version of the hive. Suppose the version is below 2.1.0 then its string. If the version is above 2.1.0, then the data type will be “date”.

Query:

select to_date('2024-03-25 16:32:01');

Output:

5. year(string date)

With the help of the year function, we can fetch the year form string date. The return data type the year function is “int”.

Query:

select to_year('2024-03-25');

Output:

Query:

select quarter('2024-03-25 16:32:01');

Output:

In the above function, we can fetch the month information form the timestamp. The return data type the monthfunction is “int”.

Query:

select month(‘2024-03-25 16:32:01’);

Output:

8. hour(string date)

In the above function, we can fetch the hour information form the timestamp.

The return data type the hourfunction is “int”.

Query:

select hour('2024-03-25 16:32:01');

Output:

9. minute(string date)

In the above function, we can fetch the minute information form the timestamp.

The return data type the minutefunction is “int”.

Query:

select minute('2024-03-25 16:32:01');

Output:

10. weekofyear(string date)

The return data type the weekofyear function is “int”.

Query:

select weekofyear('2024-03-25 16:32:01');

Output:

11. datediff(string enddate, string startdate)

With the help of datediff function, we will get the difference between two dates. The output would be in numeric format. The return data type the datediff function is “int”.

Query:

select datediff('2024-03-30', '2024-03-25');

Output:

In the date_add function, we will get the next date with the respective integer values. We have provided in terms of days. The return data type the date_addfunction is “int”.

Query:

select date_add('2024-03-25 16:32:01', 1);

Output:

In the date_sub function, we will get the past date value for days integer value.

The return data type the date_sub function is “int”.

Query:

select date_sub('2024-03-25 16:32:01', 1);

Output:

Advantages of using Hive Timestamp

The hive timestamp is useful to write the automation jobs.

Checks the updated time while inserting the record in the table.

Useful to comparison the timestamp with different services of Hadoop like YARN, HBase and other services.

Very useful in transaction applications, retail industry, etc.

It is helpful in troubleshooting and fixes the hive transactions jobs.

Conclusion

We have seen the uncut concept of “Hive Timestamp” with the proper example, explanation, syntax, SQL Query and different functions. With the help of “Hive Timestamp”, we will get the updated information of the hive’s table and current environment. Majorly it will use in automation script, transaction application, retail industry, etc.

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This is a guide to Hive TimeStamp. Here we also discuss the Introduction, and how does timestamp work in a hive? Along with different examples and code implementation. You may also have a look at the following articles to learn more –

How Does Queue Work In C++

Introduction to C++ Queue

Queue in C++ is a type of data structure that is designed to work as a First In First Out (FIFO) data container. Data entered from one side of a queue is extracted from the other side of a queue in a FIFO manner. In C++, std:: queue class provides all queue related functionalities to programmers. In this article, how queues can be used in C++ is explained along with its syntax, member types, and available queue functions.

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Syntax:

The syntax for C++ Queue is as below:

using namespace std;

queue_name is the user-defined name of the queue.

data_type is the data type of all members of the queue.

How does Queue Work in C++?

Please have a look at below sample code to understand how a queue works in C++.

Code:

using namespace std; int main() { queue_sample.push(1); queue_sample.push(2); queue_sample.push(3); queue_sample.push(4); queue_sample.push(5); while (!queue_sample.empty()) { cout << ' ' << queue_sample.front(); queue_sample.pop(); } return 0; }

Output:

C++ Queue Member Types

Following are the details about C++ queue member types:

container_type: container_type is the member type that provides a type of underlying container which is to be adapted by the queue.

size_type: size_type is an unsigned integer which will show the number of elements in the queue.

value_type: value_type is a type that represents the type of elements stored in the queue container.

Functions of C++ Queue

The following are different C++ queue functions which are mentioned along with an explanation of each function.

1. queue::empty()

This function is used to check whether a queue is empty or filled.

Parameter: There is no parameter value which needs to be provided to this function.

Return value: The return value of the function = true if the queue is empty with no element inside it. The return value of the function = false if the queue is non-empty.

2. queue::size()

Parameter: There is no parameter value which needs to be provided to this function.

Return value: This function returns size_type member type which is an unsigned integer type.

3. queue::front()

This function can be used to get details or references related to the front element of the queue. As the queue is First In First Out(FIFO) container, the front element is nothing but the oldest element present in the queue container.

Parameter: There is no parameter value which needs to be provided to this function.

Return value: This function returns a reference to the front or first element of the queue container.

4. queue::back()

This function can be used to get details or references related to the last element of the queue. As the queue is the First In First Out(FIFO) container, the last element is nothing but the newest element present in the queue container.

Parameter: There is no parameter value which needs to be provided to this function.

Return value: This function returns a reference to the last or newest inserted element of the queue container.

5. queue::push(const value_type& value)

This function can be used to insert a new element in the queue. This function inserts a new element after its last inserted element. The process to insert a new element in the queue is called enqueue operation.

Parameter: The parameter of this function is the value with which we want inserted element to be initialized. The member type value_type is a type of element inserted in the queue container.

6. queue::pop()

This function is used to remove an element from the queue container. The element removed by this function will be the oldest element available in the queue. Because of the removal of one oldest element, after using this function, the size of the queue will be reduced by one. The process to remove an element from the queue is also called a dequeue operation.

Parameter: There is no parameter value which needs to be provided to this function.

Return value: This function returns nothing.

7. queue::swap(queue& queue2)

This function is used to swap the contents of two queues. After swapping two queues contents, it may be possible that the size of the two queues may be different than it was initially before swapping content. The type of two queues must be of the same type to swap the content using the queue::swap() function.

Parameter: The parameter of this function will be another queue container of a similar type.

Return value: This function returns nothing.

8. queue::emplace(const value_type& value)

This function is used to insert new elements in the queue container. It adds a new element at the end of the queue container.

Parameter: The parameter of this function will be value to be inserted at the end of the queue container.

Return value: This function returns nothing.

Conclusion

In this article, a queue container is explained along with its declaration and usage in C++. Different useful inbuilt member functions available in C++ are also explained in this article which is helpful to programmers to use queue containers in a more efficient way.

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How To Work With Document Links In Javascript

In this tutorial, let us discuss how to work with the document’s link in JavaScript.

The document link property is a read-only DOM level 1 feature that returns all the links. The links property gives all the anchor elements and area tags with a href attribute.

Working with document.links properties

Let us learn to work with a link’s properties.

Users can follow the syntax below to work with the link’s properties.

Syntax let links = document.links; links.propertyName;

The above syntax returns all anchor tags, area tags, and properties.

Properties

length − The length is the number of elements in an HTML collection.

Return Value

The link property returns the HTML link object collection. The object follows the source code order.

Example

The program below tries to access all the link properties. The code uses a try-catch block to handle errors when we access invalid links properties.

We have four links in this example. But the property returns only two because the remaining links do not have a href attribute.

The anchor link1 and the area link1 are the valid links in this example. We display valid anchor link’s the inner HTML, href, and the inner text properties and valid area tag’s href property using the [index] method.

var

docLinkInp

=

document

.

getElementById

(

“docLinkInp”

)

;

var

docLinkOut

=

document

.

getElementById

(

“docLinkOut”

)

;

var

docLinkBtnWrap

=

document

.

getElementById

(

“docLinkBtnWrap”

)

;

var

docLinkBtn

=

document

.

getElementById

(

“docLinkBtn”

)

;

var

docLinkInpStr

=

“”

;

docLinkInpStr

=

“”

;

let

docLinkNode

=

document

.

links

;

try

{

}

catch

(

e

)

{

}

docLinkOut

.

innerHTML

=

docLinkInpStr

;

}

;

Working with document.links methods

Let us learn to work with a link’s methods.

Users can follow the syntax below to work with the link’s methods.

Syntax let links = document.links; links.methodName;

The above syntax returns all anchor tags, area tags, and methods.

Methods

[index] − The index method returns the element at the specific position. The index starts from zero. The method returns “null” if the index is out of range.

item(index) − Returns the element at the specific position. The index starts from zero. The method returns “null” if the index is out of range.

namedItem(id) − Returns the element with the specific id. The method returns “null” if the id is wrong.

Example

The program below tries to access the link’s properties using the methods available.

The anchor link and the area link in this program are valid. We use the [index] method to access the anchor link’s text. The namedItem(“name”) method returns the anchor link href property value. The item(index) method returns the anchor link name.

The namedItem(“name”) and item(index) return the href value of the area link.

var

linkMethInp

=

document

.

getElementById

(

“linkMethInp”

)

;

var

linkMethOut

=

document

.

getElementById

(

“linkMethOut”

)

;

var

linkMethBtnWrap

=

document

.

getElementById

(

“linkMethBtnWrap”

)

;

var

linkMethBtn

=

document

.

getElementById

(

“linkMethBtn”

)

;

var

linkMethInpStr

=

“”

;

linkMethInpStr

=

“”

;

let

linkMethNode

=

document

.

links

;

try

{

}

catch

(

e

)

{

}

linkMethOut

.

innerHTML

=

linkMethInpStr

;

}

;

This tutorial taught us to work with a link’s properties and methods. All the properties and methods are built-in by JavaScript.

How Does Json Work In Go Language ?

Definition of Golang JSON

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Syntax of Golang JSON

Below is a simple example for the JSON data for the go language, we can explain the below syntax in the following steps.

name_of_storage: This attribute is the name of the store where we are going to place various types of the data, for example, if we are creating storage for students then we can name it as the Student. It can hold the mixed type of data for example we can store data of string for the name of the student and integer data for the age of the students.

struct: This is a keyword that notifies the go compiler about the structure of the data.

Attribute1 and Attribute2: These are the attributes of the storage, for example, if we are creating storage JSON for the student data then we can say Attribute1 and Attribute2 are the two data for the student’s name and student age.

data-type: This used to define the datatype of Attribute1 and chúng tôi example, if we are going to store the string name of the student then the data type will be a string and if we are going to store student age then data type will be an integer.

Please see the below syntax for better understanding.

type name_of_storage struct { Attribute1  data-type `json:"section_name"` Attribute2 data-type `json:"class_name"` } How does JSON Work in Go Language?

Before we discuss the working of the JSON in the Go language let us focus on little uses and purposes of the chúng tôi means JavascriptObject Notation, here we are calling it the object because everything inside the JSON data is like any object. If you have seen our application so in the current days every web application and android apps use JSON data only because it is very lightweight and easy to use. It allows us to store mixed types of data inside it, for example, we can put string, integer, boolean, and float types data in the given storage. Let us discuss some of the key points to reveal the working of JSON in the Go language.

Here we need to convert our object generated by us into JSON with the help of the marshaling effect, Marshal is a function that will take an object and will return as the JSON of the respective object.

First, before using the JSON in the go language, we need to use the encoding/json data type, it allows us to create JSON storage.

Next, we need to define the type and name of the JSON which will be used throughout the program.

We need to define a struct to define storage for the JSON, here struct is a keyword in the go language.

Inside the JSON we need to define the attributes and the type for the attribute, these types can be an integer and string anything.

Once we define the type for the attributes of the JSON storage, whoever will use this JSON they need to mention the same type of data.

Support a defined student name attribute inside the JSOn as the string and we are trying to store the integer value then it will throw an error, which means it will only accept the string value here.

Examples of Golang JSON

Below, we have given some examples for understanding JSON in the go language. We can run them on our system, we can create a file with the name chúng tôi and copy-paste the below example on the file and run the command go run chúng tôi can give any name to the file according to our uses.

Example #1

Code:

package main import ( "encoding/json" "fmt" ) type Class struct { Section  string `json:"section_name"` Student Student `json:"class_name"` } type Student struct { Name string  `json:"student_name"` Age        int  `json:"student_age"` Subject string `json:"subject_name"` } func main() { student := Student{Name: "Ranjan Kumar Pandey", Age: 31, Subject: "Programing"} class := Class{Section: "section-A", Student: student} combinedJson, err := json.Marshal(class) if err != nil { fmt.Println(err) } fmt.Println(string(combinedJson)) }

Output:

Example #2

Code:

package main import ( "encoding/json" "fmt" ) type Animal struct { Animaltype  string `json:"type"` Details Details `json:"details"` type Details struct { Name string  `json:"animal_name"` Big bool  `json:"is_Biganimal"` Food string `json:"animal_food"` } func main() { lion := Details{Name: "Lion", Big: true, Food: "Other animals"} animal := Animal{Animaltype: "The animal is a big animal and live in jungle", Details: lion} combinedJson, err := json.Marshal(animal) if err != nil { fmt.Println(err) } fmt.Println(string(combinedJson)) }

Output:

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This is a guide to Golang JSON. Here we also discuss the introduction, syntax, and working of JSON in the go language along with different examples and its code implementation. you may also have a look at the following articles to learn more –

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