Skip to main content

Mysql JDBC driver and Streaming large resultset

We are moving one legacy component from Berkeley db to mysql so that we can replicate it to distribute read requests and shard it to scale it. I had to dump the entire db contents and stream it over http to some other component. the db content for a single customer can range from 100K to 3-4 Million records. We are using spring JDBC to make the task of dealing with jdbc api simple. Now I was using a ResultSetExtractor to stream the resultset like this.

            ResultSetExtractor resultSet = new ResultSetExtractor() {
                @Override
                public Object extractData(ResultSet result) throws SQLException, DataAccessException {
                    while(result.next()){
                        XXXXX
                    }
                    return "";
                }
            };

getJdbcTemplate(context).getJdbcOperations().query( sql, resultSetExtractor);

But it appears that Mysql native JDBC driver loads entire resultset into memory before passing the control onto ResultSetExtractor and that was causing OOM.

By default, ResultSets are completely retrieved and stored in memory. In most cases this is the most efficient way to operate, and due to the design of the MySQL network protocol is easier to implement. If you are working with ResultSets that have a large number of rows or large values, and cannot allocate heap space in your JVM for the memory required, you can tell the driver to stream the results back one row at a time.
To enable this functionality, create a Statement instance in the following manner:
stmt = conn.createStatement(java.sql.ResultSet.TYPE_FORWARD_ONLY,
              java.sql.ResultSet.CONCUR_READ_ONLY);
stmt.setFetchSize(Integer.MIN_VALUE);
The combination of a forward-only, read-only result set, with a fetch size of Integer.MIN_VALUE serves as a signal to the driver to stream result sets row-by-row. After this, any result sets created with the statement will be retrieved row-by-row.


This is explained here http://dev.mysql.com/doc/refman/5.0/en/connector-j-reference-implementation-notes.html 

It seems SimpleJdbcTemplate doesnt have a setFetchSize method and JdbcTemplate has a setFetchSize but that doesn not work when you call the query method and if you use statement then the applySettings method applies fetchSize only if its >0.  So the solution is to use PreparedStatement directly

callback = new PreparedStatementCallback() {
                @Override
                public Void doInPreparedStatement(PreparedStatement pstmt) throws SQLException, DataAccessException {
                    ResultSet rs = pstmt.executeQuery();
                    resultSetExtractor.extractData(rs);
                    rs.close();
                    return null;
                }
            };

        executeStreamed(jdbcTemplate, callback, sql);

    /**
     * http://dev.mysql.com/doc/refman/5.0/en/connector-j-reference-implementation-notes.html
     * Unless you specify the statement settings as below the mysql driver is going to load all results in memory.
     *
     * @param jdbcTemplate
     * @param callback
     * @param sql
     */
    protected void executeStreamed(SimpleJdbcTemplate jdbcTemplate, PreparedStatementCallback callback, final String sql) {
        PreparedStatementCreator creator = new PreparedStatementCreator() {
            @Override
            public PreparedStatement createPreparedStatement(Connection conn) throws SQLException {
                PreparedStatement pstmt = conn.prepareStatement(sql, java.sql.ResultSet.TYPE_FORWARD_ONLY,
                        java.sql.ResultSet.CONCUR_READ_ONLY);
                pstmt.setFetchSize(Integer.MIN_VALUE);
                return pstmt;
            }
        };
        jdbcTemplate.getJdbcOperations().execute(creator, callback);
    }


Comments

  1. Alternatively, we can subclass JdbcTemplate and override applySettings method and use this subclass.

    ReplyDelete

Post a Comment

Popular posts from this blog

RabbitMQ java clients for beginners

Here is a sample of a consumer and producer example for RabbitMQ. The steps are Download Erlang Download Rabbit MQ Server Download Rabbit MQ Java client jars Compile and run the below two class and you are done. This sample create a Durable Exchange, Queue and a Message. You will have to start the consumer first before you start the for the first time. For more information on AMQP, Exchanges, Queues, read this excellent tutorial http://blogs.digitar.com/jjww/2009/01/rabbits-and-warrens/ +++++++++++++++++RabbitMQProducer.java+++++++++++++++++++++++++++ import com.rabbitmq.client.Connection; import com.rabbitmq.client.Channel; import com.rabbitmq.client.*; public class RabbitMQProducer { public static void main(String []args) throws Exception { ConnectionFactory factory = new ConnectionFactory(); factory.setUsername("guest"); factory.setPassword("guest"); factory.setVirtualHost("/"); factory.setHost("127.0.0.1"); factory.se...

Jersey streaming binary data

In the previous post I showed how you can post binary data to a jersey REST api. You can also use Jersey to serve files, although its better done by apache or nginx but sometimes you might want to serve thumbnails stored in a database out of a service and put varnish in front of the REST api to cache the thumbnails. This is just a demonstration of using jersey to serve binary data in streaming fashion. @Path("/download-service") public class DownaloadService extends SecureRestService { private static final AppLogger logger = AppLogger.getLogger(DownaloadService.class); @POST @Produces(MediaType.APPLICATION_OCTET_STREAM) public StreamingOutput getThumbnail( @FormParam("securityKey") final String securityKey, @FormParam("guid") final String guid) throws JSONException { return new StreamingOutput() { @Override public void write(OutputStream out) throws IOException { try { if (!isAuthorized(securityKey)) { response.sendErro...

Spring 3.2 quartz 2.1 Jobs added with no trigger must be durable.

I am trying to enable HA on nodes and in that process I found that in a two test node setup a job that has a frequency of 10 sec was running into deadlock. So I tried upgrading from Quartz 1.8 to 2.1 by following the migration guide but I ran into an exception that says "Jobs added with no trigger must be durable.". After looking into spring and Quartz code I figured out that now Quartz is more strict and earlier the scheduler.addJob had a replace parameter which if passed to true would skip the durable check, in latest quartz this is fixed but spring hasnt caught up to this. So what do you do, well I jsut inherited the factory and set durability to true and use that public class DurableJobDetailFactoryBean extends JobDetailFactoryBean {     public DurableJobDetailFactoryBean() {         setDurability(true);     } } and used this instead of JobDetailFactoryBean in the spring bean definition     <bean i...