PostgreSQL 7.4 Documentation
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# 31.7. Storing Binary Data

PostgreSQL provides two distinct ways to store binary data. Binary data can be stored in a table using the data type `bytea` or by using the Large Object feature which stores the binary data in a separate table in a special format and refers to that table by storing a value of type `oid` in your table.

In order to determine which method is appropriate you need to understand the limitations of each method. The `bytea` data type is not well suited for storing very large amounts of binary data. While a column of type `bytea` can hold up to 1 GB of binary data, it would require a huge amount of memory to process such a large value. The Large Object method for storing binary data is better suited to storing very large values, but it has its own limitations. Specifically deleting a row that contains a Large Object reference does not delete the Large Object. Deleting the Large Object is a separate operation that needs to be performed. Large Objects also have some security issues since anyone connected to the database can view and/or modify any Large Object, even if they don't have permissions to view/update the row containing the Large Object reference.

Version 7.2 was the first release of the JDBC driver that supports the `bytea` data type. The introduction of this functionality in 7.2 has introduced a change in behavior as compared to previous releases. Since 7.2, the methods `getBytes()`, `setBytes()`, `getBinaryStream()`, and `setBinaryStream()` operate on the `bytea` data type. In 7.1 and earlier, these methods operated on the `oid` data type associated with Large Objects. It is possible to revert the driver back to the old 7.1 behavior by setting the property compatible on the `Connection` object to the value 7.1.

To use the `bytea` data type you should simply use the `getBytes()`, `setBytes()`, `getBinaryStream()`, or `setBinaryStream()` methods.

To use the Large Object functionality you can use either the `LargeObject` class provided by the PostgreSQL JDBC driver, or by using the `getBLOB()` and `setBLOB()` methods.

> Important: You must access Large Objects within an SQL transaction block. You can start a transaction block by calling `setAutoCommit(false)`.

> Note: In a future release of the JDBC driver, the `getBLOB()` and `setBLOB()` methods may no longer interact with Large Objects and will instead work on the data type `bytea`. So it is recommended that you use the `LargeObject` API if you intend to use Large Objects.

Example 31-8 contains some examples on how to process binary data using the PostgreSQL JDBC driver.

Example 31-8. Processing Binary Data in JDBC

For example, suppose you have a table containing the file names of images and you also want to store the image in a `bytea` column:

    CREATE TABLE images (imgname text, img bytea);

To insert an image, you would use:

    File file = new File("myimage.gif");
    FileInputStream fis = new FileInputStream(file);
    PreparedStatement ps = conn.prepareStatement("INSERT INTO images VALUES (?, ?)");
    ps.setString(1, file.getName());
    ps.setBinaryStream(2, fis, file.length());
    ps.executeUpdate();
    ps.close();
    fis.close();

Here, `setBinaryStream()` transfers a set number of bytes from a stream into the column of type `bytea`. This also could have been done using the `setBytes()` method if the contents of the image was already in a `byte[]`.

Retrieving an image is even easier. (We use `PreparedStatement` here, but the `Statement` class can equally be used.)

    PreparedStatement ps = con.prepareStatement("SELECT img FROM images WHERE imgname = ?");
    ps.setString(1, "myimage.gif");
    ResultSet rs = ps.executeQuery();
    if (rs != null) {
        while (rs.next()) {
            byte[] imgBytes = rs.getBytes(1);
            // use the data in some way here
        }
        rs.close();
    }
    ps.close();

Here the binary data was retrieved as an `byte[]`. You could have used a `InputStream` object instead.

Alternatively you could be storing a very large file and want to use the `LargeObject` API to store the file:

    CREATE TABLE imageslo (imgname text, imgoid oid);

To insert an image, you would use:

    // All LargeObject API calls must be within a transaction block
    conn.setAutoCommit(false);

    // Get the Large Object Manager to perform operations with
    LargeObjectManager lobj = ((org.postgresql.PGConnection)conn).getLargeObjectAPI();

    // Create a new large object
    int oid = lobj.create(LargeObjectManager.READ | LargeObjectManager.WRITE);

    // Open the large object for writing
    LargeObject obj = lobj.open(oid, LargeObjectManager.WRITE);

    // Now open the file
    File file = new File("myimage.gif");
    FileInputStream fis = new FileInputStream(file);

    // Copy the data from the file to the large object
    byte buf[] = new byte[2048];
    int s, tl = 0;
    while ((s = fis.read(buf, 0, 2048)) > 0) {
        obj.write(buf, 0, s);
        tl += s;
    }

    // Close the large object
    obj.close();

    // Now insert the row into imageslo
    PreparedStatement ps = conn.prepareStatement("INSERT INTO imageslo VALUES (?, ?)");
    ps.setString(1, file.getName());
    ps.setInt(2, oid);
    ps.executeUpdate();
    ps.close();
    fis.close();

Retrieving the image from the Large Object:

    // All LargeObject API calls must be within a transaction block
    conn.setAutoCommit(false);

    // Get the Large Object Manager to perform operations with
    LargeObjectManager lobj = ((org.postgresql.PGConnection)conn).getLargeObjectAPI();

    PreparedStatement ps = con.prepareStatement("SELECT imgoid FROM imageslo WHERE imgname = ?");
    ps.setString(1, "myimage.gif");
    ResultSet rs = ps.executeQuery();
    if (rs != null) {
        while (rs.next()) {
            // Open the large object for reading
            int oid = rs.getInt(1);
            LargeObject obj = lobj.open(oid, LargeObjectManager.READ);

            // Read the data
            byte buf[] = new byte[obj.size()];
            obj.read(buf, 0, obj.size());
            // Do something with the data read here

            // Close the object
            obj.close();
        }
        rs.close();
    }
    ps.close();

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