Error: connect ECONNREFUSED
  • 30-May-2023
Lightrun Team
Author Lightrun Team
Error: connect ECONNREFUSED

Error: connect ECONNREFUSED

Lightrun Team
Lightrun Team

Explanation of the problem


Error: connect ECONNREFUSED DBX:5342
    at TCPConnectWrap.afterConnect [as oncomplete] (net.js:1113:14)

The error occurs when I invoke the pg module using the following configuration:

const pool = new Pool({
    user: pgUser,
    password: pgPass,
    database: pgDb,
    host: pgHost,
    port: pgPort

Interestingly, I am able to successfully execute psql -U pgUser -d pgDb -h pgHost -W, indicating that my PostgreSQL setup and the pg_hba.conf file are correctly configured with the following entry: host pgDb pgUser md5. Hence, I believe the issue does not originate from my PostgreSQL configuration.

For reference, the versions of the relevant components are as follows:

  • Node: v10.14.1
  • PostgreSQL: v9.6.11
  • pg module: v7.7.1


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Problem solution for Error: connect ECONNREFUSED

In order to address this issue, a workaround solution has been suggested by multiple users. The recommended approach involves implementing a wrapper for the PostgreSQL connection using the following code snippet:

const pgPool = new Pool(pgConfig);
const pgPoolWrapper = {
    async connect() {
        for (let nRetry = 1; ; nRetry++) {
            try {
                const client = await pgPool.connect();
                if (nRetry > 1) {
          'Now successfully connected to Postgres');
                return client;
                // Rest of the code here...
            } catch (error) {
                // Handle the error or retry logic here...
    // Other methods and functionalities can be added here...

By utilizing this wrapper, users have reported successful connections to the PostgreSQL database, even in cases where the initial connection attempt resulted in the “ECONNREFUSED” error. This workaround allows for seamless connectivity and mitigates the issue encountered with the original code.

Implementing the provided wrapper can help ensure a reliable connection to the PostgreSQL database, overcoming any potential intermittent connection problems and providing a smoother experience for users. It is worth noting that this solution has been shared and recommended by multiple individuals facing similar challenges.


Problems with node-postgres


Problem: Authentication failure or access denied errors.

Another common problem encountered while using node-postgres is receiving authentication failure or access denied errors when attempting to connect to the PostgreSQL database. These errors often occur due to incorrect credentials or insufficient permissions.


To address authentication failure or access denied errors, verify the correctness of the provided user credentials and password. Double-check the values of user and password used while creating the Pool object. Ensure that the specified user has the necessary privileges to access the specified database. If required, update the user credentials or grant appropriate permissions to resolve the authentication failure or access denied errors.

Problem: Inconsistent or unexpected behavior when executing queries.

Developers may sometimes encounter unexpected or inconsistent behavior when executing queries with node-postgres. This can include incorrect results, missing data, or inconsistent data retrieval.


When facing such issues, it is crucial to review the SQL queries and their parameters carefully. Pay attention to the syntax, table names, column names, and any filter conditions being used in the queries. Ensure that the queries are structured correctly and accurately reflect the desired operation. Furthermore, validate the data being passed as parameters to avoid any type mismatches or unexpected behavior. Debugging the queries and carefully examining the data flow can help identify and resolve any inconsistencies or unexpected behavior during query execution.


A brief introduction to node-postgres


Node-postgres is a widely used library for interacting with PostgreSQL databases in Node.js applications. It provides a comprehensive set of functionalities, allowing developers to establish connections, execute SQL queries, and perform database operations efficiently.

The library leverages the non-blocking I/O capabilities of Node.js to handle multiple concurrent database connections effectively. It offers a connection pool mechanism that manages a pool of reusable database connections, reducing the overhead of establishing a new connection for each query. The pool can be configured with various parameters such as the maximum number of connections, idle timeouts, and SSL support, providing flexibility and control over connection management.

Node-postgres supports executing both parameterized and raw SQL queries. With parameterized queries, developers can safely pass user input as query parameters, protecting against SQL injection attacks. The library also facilitates handling query results, including fetching rows, streaming result sets, and handling large object (LOB) data efficiently.

Furthermore, node-postgres supports advanced features like transaction management, listening for database notifications, and executing batch queries for improved performance. It also provides comprehensive error handling and event-based callbacks to handle database errors and asynchronous query execution.

In summary, node-postgres is a powerful and feature-rich library that enables seamless integration between Node.js applications and PostgreSQL databases. Its robust functionality, connection pooling capabilities, and support for advanced database operations make it a popular choice for developers working with Node.js and PostgreSQL.


Most popular use cases for node-postgres

  1. Node-postgres is primarily used for establishing connections with PostgreSQL databases from Node.js applications. It provides a comprehensive API to create connections, execute SQL queries, and interact with the database. Developers can use the library to establish connection pools, manage multiple concurrent connections efficiently, and execute parameterized or raw SQL queries. Here is an example of establishing a connection and executing a query using node-postgres:
  1. Advanced Database Operations: Node-postgres supports advanced database operations, making it suitable for complex application requirements. It provides features such as transaction management, allowing developers to execute multiple queries within a single transaction and ensure data consistency. The library also supports listening for database notifications, enabling real-time updates from the database. Additionally, node-postgres allows executing batch queries, which improves performance by reducing the overhead of individual query execution. These advanced capabilities empower developers to handle complex database scenarios effectively.
  2. Data Modeling and ORM Integration: Node-postgres can be used for data modeling and integration with Object-Relational Mapping (ORM) libraries. Developers can utilize node-postgres to create models and schemas, map them to database tables, and perform CRUD (Create, Read, Update, Delete) operations on the data. The library integrates well with popular Node.js ORM frameworks such as Sequelize or TypeORM, allowing developers to leverage the power of node-postgres while benefiting from the higher-level abstractions and convenience provided by ORM libraries.

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