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How Can I Efficiently Stream Large Result Sets from MySQL to Avoid OutOfMemoryErrors?

Barbara Streisand
Release: 2024-11-27 08:14:11
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How Can I Efficiently Stream Large Result Sets from MySQL to Avoid OutOfMemoryErrors?

Streaming Large Result Sets from MySQL

Retrieving large result sets from MySQL can be challenging, especially if the application memory is limited. This issue is often encountered when the JDBC driver attempts to load the entire table into memory, leading to an OutOfMemoryException.

Using setFetchSize()

One common solution to this problem is to use the setFetchSize() method to limit the number of rows fetched from the database. However, this approach alone is not always sufficient, as the MySQL JDBC driver requires additional settings to enable streaming.

Creating a Forward-Only, Read-Only Statement

To enable result set streaming in MySQL, a statement needs to be created with the following settings:

stmt = conn.createStatement(java.sql.ResultSet.TYPE_FORWARD_ONLY, java.sql.ResultSet.CONCUR_READ_ONLY);
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Setting the Fetch Size

Once the statement is created, the setFetchSize() method should be used to hint to the driver that large result sets may be retrieved:

stmt.setFetchSize(Integer.MIN_VALUE);
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Caveats of Streaming

It's important to be aware of the limitations and caveats of result set streaming:

  • The entire result set must be read or closed before issuing any other queries on the same connection.
  • Locking issues may arise if the statement is used within a transaction. Locks are released only when the transaction completes or all pending results are read or the result set is closed.

Additional Considerations

If the OutOfMemoryError persists despite using the above settings, it may indicate that the application is not processing the data immediately as it becomes available. This requires restructuring the code to process data incrementally to avoid keeping the entire result set in memory.

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