How can I efficiently bulk insert data from a CSV file into PostgreSQL using Go without a for loop?

Bulk Insertion from CSV into PostgreSQL using Go without For Loop

Inserting a large volume of data from a CSV file into a PostgreSQL database can be time-consuming when using a for loop. A more efficient approach is to utilize the pgx library to perform a bulk copy operation.

Using pgx for Bulk Insertion

To achieve this, you can follow these steps:

1. Import the pgx library and establish a database connection.
2. Open the CSV file and prepare a reader.
3. Initialize a CopyFrom object using the CopyFrom method of the pgx.Conn().
4. Pass the CSV file reader as the source of data to the CopyFrom object.
5. Specify the destination table name in the format COPY destination_table FROM STDIN (FORMAT csv).
6. Execute the CopyFrom object to perform the bulk insertion.

Code Example

The following Go code demonstrates how to bulk insert data from a CSV file into a PostgreSQL database using pgx:

<code class="go">import (
    "context"
    "fmt"
    "os"

    "github.com/jackc/pgx/v5"
)

func main() {
    filename := "foo.csv"
    dbconn, err := pgx.Connect(context.Background(), os.Getenv("DATABASE_URL"))
    if err != nil {
        panic(err)
    }
    defer dbconn.Release()
    f, err := os.Open(filename)
    if err != nil {
        panic(err)
    }
    defer func() { _ = f.Close() }()
    res, err := dbconn.Conn().PgConn().CopyFrom(context.Background(), f, "COPY csv_test FROM STDIN (FORMAT csv)")
    if err != nil {
        panic(err)
    }
    fmt.Print(res.RowsAffected())
}</code>

By using this approach, you can efficiently bulk insert data from large CSV files without the overhead of a for loop. This method is particularly useful for handling large data sets and ensuring faster data loading performance.

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