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Looping through Objects’s Keys and Values in JavaScript

Looping through Objects’s Keys and Values in JavaScript
Hostman Team
Technical writer
JavaScript
13.03.2024
Reading time: 11 min

JavaScript, a user-friendly programming language with important components such as object keys and values, serves as a robust creator of dynamic and interactive web applications. Complex and constantly changing data require efficient iterating over the object's keys and values. It is precisely the 'iterating through object keys and values' concept, or simply JS looping through object keys and values that provides access and performs required actions.

Once you master these techniques, you can skillfully manipulate data and enhance the functionality of your applications. A foundational skill for any JavaScript developer improves the manipulation and processing of complex data sets, making your code more dynamic and flexible. While constantly changing and updating data, developers can easily access and manipulate data using this cost-effective method without repeating code.

In this article, we’ll delve into various techniques and methods to loop through object keys and values in JS, so you’ll learn how to apply them in your code. Whether you are a beginner or an experienced developer, read on to discover how to improve your data manipulation skills and efficiently apply them in your own projects. Explore the world of looping through object keys and values in JavaScript.

Objects in JavaScript

Before diving into the theory and practice, let's start with understanding what objects are in JavaScript. So, they are a collection of key-value pairs, where the key is a unique identifier and the corresponding value is any data type. They allow data to be stored and manipulated in a structured and organized way. Also they contain any number of key-value pairs with different data types.

The loop through object feature in JS stands for creating complex objects, suitable for storing, sorting, filtering, searching and manipulating large amounts of data. Objects can have functions as their values, known as methods, which perform specific actions or operations on the object's data. New key-value pairs can be added to an object, existing values can be modified, or even deleted if required.

Basic for loop through object keys and values in JS

The JS for loop is commonly used for iterating through arrays and objects as well as for looping through object keys and values, especially to get access and manipulate specific properties within an object. 

To start, learn the basic for loop method for looping through an array:

for (var i = 0; i < array.length; i++) {
// code to be executed
}

This for loop has three parts:

  • the initialization (var i = 0)

  • the condition (i < array.length)

  • the increment (i++).

The loop runs as long as the condition is true, and each time it loops, the i value is increased. This feature gives access to each element in the array with the help of the i index.

To use a similar for loop to iterate through object keys and values, you should apply the for...in loop designed specifically for objects:

for (var key in object) {
// code to be executed
}

In this loop, the variable key takes on the value of each key in the object as it loops through the JS object. This feature gives access to the corresponding value for each key via object[key].

For instance, for an object called site with the properties web name, age, and occupation, each property and its value can be accessed via the for...in loop:

var site = {
web name: 'Hostman',
age: 5,
occupation: 'cloud service provider'
};

for (var key in site) {
console.log(key + ': ' + site[key]);
}

// Output:
// name: Hostman
// age: 5
// occupation: cloud service provider

So, the for...in loop gives an easy access to all the keys and values in an object without having to know the exact names of the properties in advance. This is useful for interacting with large and complex objects.

The for...in loop is also used to check if a specific property exists in an object, and modify its value by using the hasOwnProperty() method:

for (var key in site) {
if (site.hasOwnProperty(key)) {
// code to be executed
}
}

The for loop feature for iterating through object keys and values in JS provides quick access to the properties and the ability to manipulate them within an object. By understanding the syntax and usage of the feature, you can improve the functionality of working with objects and shorten your code.

The Object.keys() method to loop through objects in JS

The built-in Object.keys() method in JavaScript allows you to get an array of all the keys of a given object. The JS feature is designed to loop over all the properties of an object because it is a simple way to access and manipulate each key individually. The idea is to pass the object you want to get the keys from as a parameter, and the method returns an array of all the keys in that object.

Static method syntax is called directly on the Object class, not on the object instance. That's why it got its name Object.keys(). The parentheses after the method name are used to pass the object from which you want to get the keys.

For instance, for an object called site with properties such as web name, age, and occupation, apply the following Object.keys() method:

Object.keys(site)

The JS method will loop over the properties of the passed object and return an array of all keys. The keys in the array are arranged in the same order in which they appear in the object due to the fact that objects in JavaScript are unordered, meaning there is no guarantee that the properties will be returned in a particular order. However, the Object.keys() method ensures that the keys are returned in the order in which they were added to the object.

The Object.values() method to loop through objects in JS

The Object.values() method allows you to quickly access and retrieve all the values ​​of an object as an array, simplifying the way you manipulate and loop through an array of objects in JS. For instance, for an object called site that contains various properties such as web name, age, occupation, using the Object.values() method allows retrieving all the values of this object in the form of an array.

The syntax is simple and consists of passing the object site as a parameter:

const siteValues = Object.values(site);

This feature will return an array with all the site object values in the same order as they are defined in the object. This array helps performing various operations, such as filtering or sorting the data.

Combining Object.keys() and Object.values() for efficient object iteration in JavaScript

The Object.keys() and Object.values() methods provide a more efficient way of how to loop through an object in JS. The first one returns an array of all the keys present in an object, while the second one returns an array of all the corresponding values. The combination of both methods gives access to both the keys and values ​​of an object.

For instance, for an object called site with properties like web name, age, occupation, apply the following code.

const site = {
web name: 'Hostman',
age: 5,
occupation: 'cloud service provider'
};

const keys = Object.keys(site);
const values = Object.values(site);

console.log(keys); // Output: ['web name', 'age', 'occupation']
console.log(values); // Output: ['Hostman', 5, 'cloud service provider']

As a result of the synergy of both methods, two arrays were returned containing the keys and values of the site object. They are easily accessed and manipulated to perform any operation on the object, including loop through object properties in JS.

The for...of method to loop through object in JS

The for...of loop provides a simplified syntax compared to the traditional for...in loop, iterating over the values of an object while working with arrays, strings, and other iterable objects. The feature eliminates errors or bugs in code as there is no need for manual counting or using a counter variable. Automatically iterating over each element of the iterable object and assigning it to a variable improves the loop through object keys in JS.

The feature can be used with any iterable object, regardless of its length or size, with a variable number of elements, such as arrays. For instance, if you want to print out each flower separately, use the for...of loop. 

To start, declare the array of flowers:

const flowers = ['rose', 'daisy', 'violet'];

Next, apply the for...of loop to iterate over the elements in the flowers array and print out each flower:

for (const flower of flowers) {
console.log(flower);
}

In this code, the variable flower is automatically assigned to each element in the flowers array in every iteration of the loop, allowing the value of each flower to be accessed and printed without manually declaring and incrementing a counter variable.

The Object.entries() method in JavaScript

The Object.entries() method stands for efficient iteration through the keys and values of an object. Simple access to and manipulation of object properties eliminates the need for complex syntax or methods. It takes an object as a parameter and returns an array of arrays. Each inner array consists of two elements, where the first is the object's property key, and the second is the corresponding value. This is a useful feature to loop through an object and access both the keys and values at the same time in JS.

For instance, for an object called site with properties such as web name, age, and occupation, apply the Object.entries() method to loop through this object and access both the keys and values.

The syntax looks as follows:

Object.entries(site);

This will return an array of arrays with the following structure:

[['web name', 'Hostman'], ['age', 5], ['occupation', 'cloud service provider']]

Each inner array contains two elements, the key and value of the object property to access both of them in a single iteration. This method can be used in conjunction with a for loop to iterate through the array and perform any desired operations with the objects in JS. It also allows us to convert an object into an array of key-value pairs to manipulate or transform an object into a different data structure.

For instance, apply the Object.entries() method to convert an object into a Map, which is a data structure with key-value pairs.

To do this, use the following syntax:

const map = new Map(Object.entries(site));

This will create a new Map with the same key-value pairs as the original object.

The Object.getOwnPropertyNames() method in JavaScript

The getOwnPropertyNames is a method that retrieves all of an object's own properties, including both enumerable and non-enumerable ones, but it excludes Symbol-keyed properties.

Let’s try this method. First, we define an object. 

const appConfig = { theme: 'dark', language: 'en' };

We can then add a non-enumerable internal property to the object. 

// Add non-enumerable internal properties 
Object.defineProperty(appConfig, 'version', { value: '1.0.0', enumerable: false });

We can then use Object.getOwnPropertyNames(appConfig) to display the properties. 

console.log(Object.getOwnPropertyNames(appConfig)); 
// Output: ["theme", "language", "version"]

getOwnPropertyNames will display all internal properties, including hidden ones (version). We can then use the result to loop through the object and display the properties and their values.

Object.getOwnPropertyNames(appConfig).forEach(key => {
  console.log(`${key}: ${appConfig[key]}`);
});
// Output:
// theme: dark
// language: en
// version: 1.0.0

The Reflect.ownKeys() method retrieves all own properties of an object, including string keys and symbol keys. By default, symbol keys are not visible for Object.keys() and Object.getOwnPropertyNames() methods.

const plugin = {
  name: 'AuthPlugin',
  settings: {
	enable2FA: true,
  },
  [Symbol('id')]: 'auth123',
};

// Iterate over all keys
Reflect.ownKeys(plugin).forEach(key => {
  console.log(`${String(key)}: ${plugin[key]}`);
});
// Output:
// name: AuthPlugin
// settings: { enable2FA: true }
// Symbol(id): auth123

Looping Through a Nested Object

When a JavaScript object contains other objects as values, a simple loop won’t be enough to traverse the whole object. To resolve this issue, we can use recursion combined with the Object.keys().forEach() method. 

Here is an example. 

const nestedObject = { name: "Alice", details: { age: 25 } };

function traverse(obj) {
  Object.keys(obj).forEach(key => {
	if (typeof obj[key] === "object" && obj[key] !== null) {
  	traverse(obj[key]); // Recursively handle nested objects
	} else {
  	console.log(`${key}: ${obj[key]}`);
	}
  });
}

traverse(nestedObject);
// Output:
// name: Alice
// age: 25

Conclusion

Loop through object keys and values in JS provides quick access to data stored in objects for manipulation and makes a code more dynamic and flexible. In this tutorial we showed you the basic methods for looping through object keys and values. Mastering these techniques is essential for a developer looking to create complex and efficient applications. By constantly learning and exploring new techniques and resources, you will become more adept at working with objects in your code. Keep practicing and experimenting with different approaches to find the one that works best for your specific project.

JavaScript
13.03.2024
Reading time: 11 min

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JavaScript Array Methods

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Their default value is not defined.  After creating the array, let’s fill it in. Let's create a set of values that stores employees' names. Using the first method: var EmployeeArr = [‘Alex’, ‘Bob’, ‘Oliver’]; Using the second one: var EmployeeArr = new Array(‘Alex’, ‘Bob’, ‘Oliver’); Access to array elements  To access an array element, we use square brackets with an integer value of its index inside them. Let's get the value of two elements of the previously created value set EmployeeArr: var EmployeeArr = new Array(‘Alex’, ‘Bob’, ‘Oliver’);console.log (EmployeeArr[1]);  The index numbering starts from 0, which we should remember when referring to the N-th element. Its index will be N-1. In our case, it will equal 1. To change the value of an element, you need to assign a new value to the variable, as shown below: var EmployeeArr = new Array(‘Alex’, ‘Bob’, ‘Oliver’);EmployeeArr[1] = ‘Jack’; Now EmployeeArr contains 'Alex', 'Jack', and 'Oliver.' Now let's look at length, an important property that returns the length of an array in JavaScript. var EmployeeArr = new Array(‘Alex’, ‘Bob’, ‘Oliver’);console.log (EmployeeArr.length);  The length of EmployeArr in our case will be 3. - Array methods Array methods in JavaScript allow developers to work with data more efficiently and conveniently. Their use will help with conversion, sorting, searching, adding or removing elements.  In this article, we'll look at most of the existing JavaScript array methods, grouped by their work logic. Adding and removing elements There are four main methods to add or remove elements from an array: push(), pop(), shift(), and unshift(). push() adds one or more elements to the end of the value set. pop() deletes the last element. shift() deletes the first element. unshift() adds one or more elements to the beginning. Let's look at examples. 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16 June 2025 · 12 min to read
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How to Use .map() in JavaScript

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Database Connection in Python MySQL and Python For connecting to MySQL databases, we can use a Python driver called MySQL Connector. Install the driver using pip: pip install mysql-connector-python Initialize a new connection: Import the mysql.connector library and the Error class to handle specific connection errors. Create a function named create_connection, passing the database address (host), user name (user), and user password (password). To establish the connection, define a class called create_connection that receives the variable names containing the database connection details. import mysql.connector from mysql.connector import Error def create_connection(host_name, user_name, user_password): connection = None try: connection = mysql.connector.connect( host="91.206.179.29", user="gen_user", password="m-EE6Wm}z@wCKe" ) print("Successfully connected to MySQL Server!") except Error as e: print(f"The error '{e}' occurred") return connection def execute_query(connection, query): cursor = connection.cursor() try: cursor.execute(query) connection.commit() print("Query executed successfully") except Error as e: print(f"The error '{e}' occurred") connection = create_connection("91.206.179.29", "gen_user", "m-EE6Wm}z@wCKe") Run the script. If everything works correctly, you will see the "Successfully connected to MySQL Server!" message. If any errors occur, the console will display error code and description. Create a new table: Connect to the database using the connection.database class, specifying the name of the database. Note that the database should already exist. To create a table, initialize a variable create_table_query containing the SQL CREATE TABLE query. For data insertion, initialize another variable insert_data_query with the SQL INSERT INTO query. To execute each query, use the execute_query class, which takes the database connection string and the variable containing the SQL query. connection.database = 'test_db' create_table_query = """ CREATE TABLE IF NOT EXISTS users ( id INT AUTO_INCREMENT PRIMARY KEY, name VARCHAR(100) NOT NULL, age INT NOT NULL ) """ execute_query(connection, create_table_query) insert_data_query = """ INSERT INTO users (name, age) VALUES ('Alice', 30), ('Bob', 25) """ execute_query(connection, insert_data_query) if connection.is_connected(): connection.close() print("Connection closed") Run the script. PostgreSQL and Python Python offers several plugins for connecting to PostgreSQL, but the most popular one is psycopg2, which we will use here. Psycopg2 is one of the most frequently used Python plugins for PostgreSQL connections. One of its key advantages is its support for multithreading which allows you to maintain the database connection across multiple threads. Install psycopg2 using pip (if not already installed): pip install psycopg2-binary Connect to PostgreSQL. Import the Python psycopg2 package and create a function create_new_conn, using the try block. Establish the connection with the psycopg2.connect function, which requires the database name, user name, password, and database address as input. To initialize the connection, use the create_new_conn() function. Here’s the full code example for connecting to a database: import psycopg2 from psycopg2 import OperationalError def create_new_conn(): conn_to_postgres = None while not conn_to_postgres: try: conn_to_postgres = psycopg2.connect( default_db="default_db", default_user="gen_user", password_for_default_user="PasswordForDefautUser9893#", db_address="91.206.179.128" ) print("The connection to PostgreSQL has been successfully established!") except OperationalError as e: print(e) return conn_to_postgres conn_to_postgres = create_new_conn() Run the script: python3 connect_to_postgres.py If successful, you will see the "The connection to PostgreSQL has been successfully established!" message. . Next, create a table named books, which will have three columns. Use the cursor class for SQL expressions, such as creating database objects. If the query involves adding or modifying data, you must call the conn_to_postgres.commit() function afterward to apply the changes. import psycopg2 from psycopg2 import OperationalError def create_new_conn(): conn_to_postgres = None while not conn_to_postgres: try: conn_to_postgres = psycopg2.connect( default_db="default_db", default_user="gen_user", password_for_default_user="PasswordForDefautUser9893#", db_address="91.206.179.128" ) except OperationalError as e: print(e) return conn_to_postgres conn_to_postgres = create_new_conn() cursor = conn_to_postgres.cursor() cursor.execute(""" CREATE TABLE books ( book_id INT PRIMARY KEY NOT NULL, book_name VARCHAR(255) NOT NULL, book_author VARCHAR(255) NOT NULL ) """) conn_to_postgres.commit() print("Table Created successfully") Run the script: python3 create_table.py Now, let’s run INSERT INTO to add a new line: cursor.execute(""" INSERT INTO books (book_id,book_name,book_author) VALUES (1, 'Long Walk to Freedom', 'Nelson_Mandela') """) The full code is below: import psycopg2 from psycopg2 import OperationalError def create_new_conn(): conn_to_postgres = None while not conn_to_postgres: try: conn_to_postgres = psycopg2.connect( default_db="default_db", default_user="gen_user", password_for_default_user="PasswordForDefautUser9893#", db_address="91.206.179.128" ) except OperationalError as e: print(e) return conn_to_postgres conn_to_postgres = create_new_conn() cursor = conn_to_postgres.cursor() cursor.execute(""" INSERT INTO books (book_id,book_name,book_author) VALUES (1, 'Long Walk to Freedom', 'Nelson_Mandela') """) conn_to_postgres.commit() conn_to_postgres.close() print("Data inserted successfully") Run the script: python3 insert-data.py Redis and Python Redis belongs to the class of NoSQL databases, where data is stored in memory rather than on hard drives. It uses a key-value format for data storage. Redis has a wide range of applications, from data storage and caching to serving as a message broker. We will use the redis-py (or simply redis) library for connecting to Redis. Install the Redis library using pip: pip install redis Connecting to a Redis instance: Use a try block structure for connection, specifying the function redis.StrictRedis where you provide the Redis address, port, and user password. import redis try: connect_to_redis_server = redis.StrictRedis( redis_db_host=91.206.179.128, redis_db_port=6379, redis_user_password='PasswordForRedis6379') print connect_to_redis_server connect_to_redis_server.ping() print 'Successfully connected to Redis Server!' except Exception as ex: print 'Error:', ex exit('Failed to connect to Redis server.') Run the script: python3 connect_to_redis.py If successful, you will see a message like "Successfully connected to Redis Server!". Unlike relational databases, Redis stores data in a key-value format. The key uniquely identifies the corresponding value. Use the set method to create a new record. The example below creates a record with the key City and the value Berlin: print('Create new record:', connect_to_redis_server.set("City", "Berlin")) Use the get method to retrieve the value associated with a key: print('Print record using record key:', connect_to_redis_server.get("City")) Use the delete method to remove a record by its key: print('Delete record with key:', connect_to_redis_server.delete("City")) The complete code fragment is below. import redis try: connect_to_redis_server = redis.StrictRedis( redis_db_host=91.206.179.128, redis_db_port=6379, redis_user_password='PasswordForRedis6379') print ('New record created:', connect_to_redis_server.set("City", "Berlin")) print ('Print created record using record key', connect_to_redis_server.get("City")) print ('Delete created record with key :', connect_to_redis_server.delete("City")) except Exception as ex: print ('Error:', ex) MongoDB and Python MongoDB is another widely used NoSQL database that belongs to the document-oriented category. Data is organized as JSON-like documents. To connect to a MongoDB database with Python, the recommended library is PyMongo, which provides a synchronous API. Install the PyMongo plugin: pip3 install pymongo Connect to MongoDB server using the following Python code. Import the pymongo module and use the MongoClient class to specify the database server address. To establish a connection to the MongoDB server, use a try block for error handling: import pymongo connect_to_mongo = pymongo.MongoClient("mongodb://91.206.179.29:27017/") first_db = connect_to_mongo["mongo-db1"] try: first_db.command("serverStatus") except Exception as e: print(e) else: print("Successfully connected to MongoDB Server!") connect_to_mongo.close() Run: python3 connect_mongodb.py If the connection is successfully established, the script will return the message: "Successfully connected to MongoDB Server!" Add data to MongoDB. To add data, you need to create a dictionary. Let's create a dictionary named record1, containing three keys: record1 = { "name": "Alex", "age": 25, "location": "London" } To insert the dictionary data, use the insert_one method in MongoDB. insertrecord = collection1.insert_one(record1) import pymongo connect_to_mongo = pymongo.MongoClient("mongodb://91.206.179.29:27017/") db1 = connect_to_mongo["newdb"] collection1 = db1["userdata"] record1 = { "name": "Alex", "age": 25, "location": "London" } insertrecord = collection1.insert_one(record1) print(insertrecord) Run the script: python3 connect_mongodb.py ClickHouse and Python ClickHouse is a columnar NoSQL database where data is stored in columns rather than rows. It is widely used for handling analytical queries. Install the ClickHouse driver for Python. There is a dedicated plugin for ClickHouse called clickhouse-driver. Install the driver using the pip package manager: pip install clickhouse-driver Connect to ClickHouse. To initialize a connection with ClickHouse, you need to import the Client class from the clickhouse_driver library. To execute SQL queries, use the client.execute function. You also need to specify the engine. For more details on supported engines in ClickHouse, you can refer to the official documentation. We'll use the default engine, MergeTree. Next, create a new table called users and insert two columns with data. To list the data to be added to the table, use the tuple data type. After executing the necessary queries, make sure to close the connection to the database using the client.disconnect() method. The final code will look like this: from clickhouse_driver import Client client = Client(host=91.206.179.128', user='root', password='P@$$w0rd123', port=9000) client.execute(''' CREATE TABLE IF NOT EXISTS Users ( id UInt32, name String, ) ENGINE = MergeTree() ORDER BY id ''') data = [ (1, 'Alice'), (2, 'Mary') ] client.execute('INSERT INTO Users (id, name) VALUES', data) result = client.execute('SELECT * FROM Users') for row in result: print(row) client.disconnect() Database Connection in Go Go is one of the youngest programming languages, developed in 2009 by Google.  It is widely used in developing microservice architectures and network utilities. For example, services like Docker and Kubernetes are written in Go. Go supports integrating all popular databases, including PostgreSQL, Redis, MongoDB, MySQL, ClickHouse, etc. MySQL and Go For working with the MySQL databases in Go, use the go-sql-driver/mysql driver. Create a new directory for storing project files and navigate into it: mkdir mysql-connect && cd mysql-connect Create a go.mod file to store the dependencies: go mod init golang-connect-mysql Download the MySQL driver using the go get command: go get -u github.com/go-sql-driver/mysql Create a new file named main.go. Specify the database connection details in the dsn variable: package main import ( "database/sql" "fmt" "log" _ "github.com/go-sql-driver/mysql" ) func main() { dsn := "root:password@tcp(localhost:3306)/testdb" db, err := sql.Open("mysql", dsn) if err != nil { log.Fatal(err) } defer db.Close() if err := db.Ping(); err != nil { log.Fatal(err) } fmt.Println("Successfully connected to the database!") query := "INSERT INTO users (name, age) VALUES (?, ?)" result, err := db.Exec(query, "Alex", 25) if err != nil { log.Fatal(err) } lastInsertID, err := result.LastInsertId() if err != nil { log.Fatal(err) } fmt.Printf("Inserted data with ID: %d\n", lastInsertID) } PostgreSQL and Go To connect to PostgreSQL, use the pq driver. Before installing the driver, let's prepare our environment. Create a new directory for storing the project files and navigate into it: mkdir postgres-connect && cd postgres-connect Since we will be working with dependencies, we need to create a go.mod file to store them: go mod init golang-connect-postgres Download the pq driver using the go get command: go get github.com/lib/pq Create a new file named main.go. In addition to importing the pq library, it is necessary to add the database/sql library as Go does not come with official database drivers by default. The database/sql library consists of general, independent interfaces for working with databases. It is also important to note the underscore (empty identifier) when importing the pq module: _ "github.com/lib/pq" The empty identifier is used to avoid the "unused import" error, as in this case, we only need the driver to be registered in database/sql. The fmt package is required to output data to the standard output stream, for example, to the console. To open a connection to the database, the sql.Open function is used, which takes the connection string (connStr) and the driver name (postgres). The connection string specifies the username, database name, password, and host address: package main import ( "database/sql" "fmt" "log" _ "github.com/lib/pq" ) func main() { connStr := "user=golang dbname=db_for_golang password=Golanguserfordb0206$ host=47.45.249.146 sslmode=disable" db, err := sql.Open("postgres", connStr) if err != nil { log.Fatal(err) } defer db.Close() err = db.Ping() if err != nil { log.Fatal(err) } fmt.Println("Successfully connected to PostgreSQL!") } Compile and run: go run main.go If everything works correctly, the terminal will display the message Successfully connected to PostgreSQL! Now, let's look at an example of how to insert data into a table.  First, we need to create a table in the database. When using Hostman cloud databases, you can copy the PostgreSQL connection string displayed in the "Connections" section of the Hostman web interface. Make sure that the postgresql-client utility is installed on your device beforehand. Enter the psql shell and connect to the previously created database: \c db_for_golang Create a table named Cities with three fields — city_id, city_name, and city_population: CREATE TABLE Cities ( city_id INT PRIMARY KEY, city_name VARCHAR(45) NOT NULL, city_population INT NOT NULL); Grant full privileges to the created table for the user: GRANT ALL PRIVILEGES ON TABLE cities TO golang; The function db.Prepare is used to prepare data. It specifies the query for insertion in advance. To insert data, use the function stmt.Exec. In Go, it's common to use plain SQL without using the ORM (Object-Relational Mapping) approach. stmt, err := db.Prepare("INSERT INTO Cities(city_id, city_name, city_population) VALUES($1, $2, $3)") if err != nil { log.Fatal(err) } defer stmt.Close() _, err = stmt.Exec(1, "Toronto", 279435) if err != nil { log.Fatal(err) } fmt.Println("Data inserted successfully!") } If all works correctly, you will see: Data inserted successfully! Redis and Go To connect to Redis, you need to use the go-redis driver. Сreate a new directory: mkdir connect-to-redis && cd connect-to-redis Prepare the dependency file: go mod init golang-connect-redis And optimize them: go mod tidy Download the go-redis module: go get github.com/go-redis/redis/v8 To connect to Redis, use the redis.Options function to specify the address and port of the Redis server. Since Redis does not use authentication by default, you can leave the Password field empty and use the default database (database 0): package main import ( "context" "fmt" "log" "github.com/go-redis/redis/v8" ) func main() { rdb := redis.NewClient(&redis.Options{ Addr: "91.206.179.128:6379", Password: "", DB: 0, }) ctx := context.Background() _, err := rdb.Ping(ctx).Result() if err != nil { log.Fatalf("Couldn't connect to Redis: %v", err) } fmt.Println("Successfully connected to Redis!") } You should see the message «Successfully connected to Redis!» MongoDB and Go To work with MongoDB, we'll use the mongo driver. Create a new directory to store the project structure: mkdir connect-to-mongodb && cd connect-to-mongodb Initialize the dependency file: go mod init golang-connect-mongodb Download the mongo library: go get go.mongodb.org/mongo-driver/mongo Connect to MongoDB using the options.Client().ApplyURI method. It takes a connection string such as mongodb://91.206.179.29:27017, where 91.206.179.29 is the MongoDB server address and 27017 is the port for connecting to MongoDB. The options.Client().ApplyURI string is used only for specifying connection data. To check the connection status, you can use another function, client.Ping, which shows the success or failure of the connection: package main import ( "context" "fmt" "log" "time" "go.mongodb.org/mongo-driver/mongo" "go.mongodb.org/mongo-driver/mongo/options" ) func main() { clientOptions := options.Client().ApplyURI("mongodb://91.206.179.29:27017") client, err := mongo.Connect(context.TODO(), clientOptions) if err != nil { log.Fatalf("Couldn't connect to MongoDB server: %v", err) } fmt.Println("successfully connected to MongoDB!") ctx, cancel := context.WithTimeout(context.Background(), 10*time.Second) defer cancel() err = client.Ping(ctx, nil) if err != nil { log.Fatalf("Could not ping MongoDB server: %v", err) } fmt.Println("Ping MongoDB server successfully!") } You should see the message: successfully connected to MongoDB!Ping MongoDB server successfully MongoDB uses collections to store data. You can create collections using the .Collection function.  Below, we will create a database called first-database and a collection called first-collection. The collection will have a new document, containing three keys: user-name, user-age, and user-email. collection := client.Database("first-database").Collection("first-collection") document := map[string]interface{}{ "user-name": "Alice", "user-age": 25, "user-email": "alice@corporate.com", } insertResult, err := collection.InsertOne(ctx, document) if err != nil { log.Fatalf("Couldn't insert new document: %v", err) } fmt.Printf("Inserted new document with ID: %v\n", insertResult.InsertedID) if err := client.Disconnect(ctx); err != nil { log.Fatalf("Could not disconnect from MongoDB: %v", err) } fmt.Println("Disconnected from MongoDB!") } If successful, you will see the Inserted new document message with the document ID.  ClickHouse and Go To work with ClickHouse, use the clickhouse-go driver. Create a new directory to store the project files and navigate to it: clickhouse-connect && cd clickhouse-connect Create a go.mod file to store the dependencies: go mod init golang-connect-clickhouse Download the Clickhouse driver using the command: go get github.com/ClickHouse/clickhouse-go/v2 Create a new file named main.go, where you will specify the connection data to ClickHouse. package main import ( "database/sql" "log" "github.com/ClickHouse/clickhouse-go/v2" ) func main() { dsn := "tcp://localhost:9000?username=user1&password=PasswordForuser175465&database=new_db" db, err := sql.Open("clickhouse", dsn) if err != nil { log.Fatal(err) } defer db.Close() if err := db.Ping(); err != nil { log.Fatal(err) } log.Println("Connected to ClickHouse!") } Database Connection in JavaScript In JavaScript, all connections to external services are made using the Node.js platform. Make sure that you have Node.js and the npm package manager installed on your device. MySQL and JavaScript To work with MySQL, use the mysql2 driver. Create a directory where we will store the project files: mkdir js-mysql-connect && cd js-mysql-connect Initialize the project: npm init -y Install the mysql2 library: npm install mysql2 Use the following code to connect to MySQL: const mysql = require('mysql2'); const connection_to_mysql = mysql.createConnection({ host: 'localhost', user: 'root', password: 'PasswordForRoot74463', database: db1, }); connection_to_mysql.connect((err) => { if (err) { console.error('Error connecting to MySQL:', err.message); return; } console.log('Successfully connected to MySQL Server!'); connection_to_mysql.end((endErr) => { if (endErr) { console.error('Error closing the connection_to_mysql:', endErr.message); } else { console.log('Connection closed.'); } }); }); PostgreSQL and JavaScript Connecting to PostgreSQL is done using the pg library. Create a directory where we will store the project files: mkdir js-postgres-connect && cd js-postgres-connect Initialize the project: npm init -y Install the pg library: npm install pg To connect to PostgreSQL, first import the pg library. Then, create a constant where you specify variables for the database address, username, password, database name, and port. Use the new pg.Client class to pass the connection data. We will create a table called cities and add two records into it. To do this, we will use the queryDatabase function, which contains the SQL queries. const pg = require('pg'); const config = { postgresql_server_host: '91.206.179.29', postgresql_user: 'gen_user', postgresql_user_password: 'PasswordForGenUser56467$', postgresql_database_name: 'default_db', postgresql_database_port: 5432, }; const client = new pg.Client(config); client.connect(err => { if (err) throw err; else { queryDatabase(); } }); function queryDatabase() { const query = ` DROP TABLE IF EXISTS cities; CREATE TABLE cities (id serial PRIMARY KEY, name VARCHAR(80), population INTEGER); INSERT INTO cities (name, population) VALUES ('Berlin', 3645000); INSERT INTO cities (name, population) VALUES ('Paris', 2161000); `; client .query(query) .then(() => { console.log('Table created successfully!'); client.end(console.log('Closed client connection')); }) .catch(err => console.log(err)) .then(() => { console.log('Finished execution, exiting now'); process.exit(); }); } Use this command to run the code: node connect-to-postgres.js Redis and JavaScript To work with Redis, use the ioredis library. Create a directory to store the project files: mkdir js-redis-connect && cd js-redis-connect Initialize the project: npm init -y Install the ioredis library: npm install ioredis To connect to Redis, import the ioredis library. Then create a constant named redis and specify the Redis server address. Inserting data, i.e., creating key-value objects, is done using an asynchronous function named setData, which takes two values — key and value, corresponding to the data format of the Redis system. const Redis = require('ioredis'); const redis = new Redis({ host: '91.206.179.29', port: 6379, password: 'UY+p8e?Kxmqqfa', }); async function setData(key, value) { try { await redis.set(key, value); console.log('Data successfully set'); } catch (error) { console.error('Error setting data:', error); } } async function getData(key) { try { const value = await redis.get(key); console.log('Data retrieved'); return value; } catch (error) { console.error('Error getting data:', error); } } (async () => { await redis.select(1); await setData('user', 'alex'); await getData('user'); redis.disconnect(); })(); Run: node connect-to-redis.js MongoDB and JavaScript To work with MongoDB, use the mongodb driver. Create a directory for storing the project files: mkdir js-mongodb-connect && cd js-mongodb-connect Initialize the project: npm init -y Install the mongodb library: npm install mongodb To connect to MongoDB, import the mongodb library. Specify the database address in the constant uri and pass the address into the MongoClient class. const { MongoClient } = require('mongodb'); const uri = "mongodb://91.206.179.29:27017"; const client = new MongoClient(uri, { useNewUrlParser: true, useUnifiedTopology: true }); async function connectToDatabase() { try { await client.connect(); console.log("Successfully connected to MongoDB!"); const database = client.db("myDatabase"); const collection = database.collection("myCollection"); const documents = await collection.find({}).toArray(); console.log("Documents found:", documents); } catch (error) { console.error("Error connecting to MongoDB:", error); } finally { await client.close(); console.log("Connection closed."); } } connectToDatabase(); ClickHouse and JavaScript To work with ClickHouse, use the clickhouse/client driver. Create a directory where we will store the project files: mkdir js-clickhouse-connect && cd js-clickhouse-connect Initialize the project: npm init -y Install the @clickhouse/client library: npm install @clickhouse/client To connect to ClickHouse, use the code below where we set the connection details and execute a simple SQL query that will return the first 10 records from the system table named system.tables: const { ClickHouse } = require('@clickhouse/client'); const client = new ClickHouse({ host: 'http://localhost:8123', username: 'default', password: 'PasswordforDefaultUser45435', database: 'default', }); async function connectAndQuery() { try { console.log('Successfully connected to ClickHouse Server!'); const rows = await client.query({ query: 'SELECT * FROM system.tables LIMIT 10', format: 'JSON', }).then((result) => result.json()); console.log('Query results:', rows); } catch (error) { console.error('Error Successfully connected to ClickHouse Server! or running the query:', error); } finally { console.log('Done.'); } } connectAndQuery(); Conclusion In today's article, we thoroughly explored how to connect to PostgreSQL, Redis, MongoDB, MySQL, and ClickHouse databases using Python, Go, and JavaScript. These languages can be used to create both web applications and microservices that utilize databases in their operation.
18 February 2025 · 23 min to read

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