How Can I Efficiently Reuse Postgres Connections for Row Inserts in Go?

Reusing Postgres DB Connections for Row Inserts in Go

Introduction

When managing Postgres connections in Go, it's crucial to efficiently utilize connections to avoid performance bottlenecks and unnecessary resource consumption. In this article, we'll explore how to effectively reuse a single Postgres database connection for row insertions using the sql.DB pool.

The Issue: Multiple Connections Opened

The code provided opens multiple connections to the database, exhausting the connection pool and causing insert operations to fail. This occurs because the db.QueryRow() method isn't properly releasing the connection after executing the query.

Understanding sql.DB

sql.DB is a connection pool that automatically manages and reuses connections. It only creates new connections when needed, up to a limit defined by the database server.

The Problem: Missing Scan Call

In the code, db.QueryRow() is used without calling the Scan method on the returned *Row value. Under the hood, *Row holds a connection that's released when Scan is invoked. Without calling Scan, the connection remains open, leading to the buildup of connections and performance problems.

The Solution: Properly Handle *Row

To resolve the issue, either use Exec if the query result isn't needed, or call Scan on the returned *Row to release the associated connection.

Updated Code

The following updated code correctly releases the connection using Scan:

sqlStatement := `
    INSERT INTO heartbeat ("Legend", "Status", "TimeStamp")
    VALUES (, , )
`

row := db.QueryRow(sqlStatement, Legend, Status, TimeStamp)

var result int
if err := row.Scan(&result); err != nil {
    log.Fatal("Error scanning query result:", err)
}

Alternatively, you can use Exec if the query doesn't return any result:

sqlStatement := `
    INSERT INTO heartbeat ("Legend", "Status", "TimeStamp")
    VALUES (, , )
`

if _, err := db.Exec(sqlStatement, Legend, Status, TimeStamp); err != nil {
    log.Fatal("Error executing query:", err)
}

By properly handling *Row and releasing connections, you can ensure efficient use of database connections, improving performance and reliability.

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