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Home/ Questions/Q 4016620
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Editorial Team
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Editorial Team
Asked: May 20, 20262026-05-20T09:45:43+00:00 2026-05-20T09:45:43+00:00

In my application I’m using ADODB to query a MySQL database. This goes very

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In my application I’m using ADODB to query a MySQL database. This goes very smooth, however, ADODB seems to leak a lot of memory.

I fixed it partially by calling the close method of every executed query.
I found out by benchmarking 1000000 queries on this method:

public static int Execute(string query)
{
    Connect();
    object ret;
    lock (_conn)
        _conn.Execute(query, out ret, -1);
    return (int)ret;
}

After a about 10000 queries I was out of memory, extremely fast.

I figured it was because of the _conn.Execute, so I changed it into:

public static int Execute(string query)
{
    Connect();
    object ret;
    ADODB.Recordset rs;
    lock (_conn)
        rs = _conn.Execute(query, out ret, -1);
    rs.Close();
    return (int)ret;
}

Now, this seems to save a lot but it still leaks about 80MB of memory after executing 100000 queries.

Does anyone know how to stop it from leaking memory, I do NOT need the recordset. I have 3 different functions, one for executing like this, one for executing and returning a recordset wrapped in my own classes, and one for executing and returning the last inserted id, useful for INSERT INTO queries.

So, does anyone know how to stop the leak?

EDIT:

This is the code in Connect():

private static ADODB.Connection _conn = new ADODB.Connection();

public static bool Connected
{
    get { return _conn.State == 1; }
}

public static bool Connect()
{
    lock (_conn)
        if (!Connected) _conn.Open(Configuration.DB_ConnectionString, "", "", -1);
    return Connected;
}
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  1. Editorial Team
    Editorial Team
    2026-05-20T09:45:44+00:00Added an answer on May 20, 2026 at 9:45 am

    Have you considered using the MySql .Net Connector? Given that it’s a managed library which is designed specifically for connecting to MySql, it stands a better chance of not leaking. Also, I’ve used it previously and not noticed it leaking memory.

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