This week's book giveaway is in the Mac OS forum. We're giving away four copies of a choice of "Take Control of Upgrading to Yosemite" or "Take Control of Automating Your Mac" and have Joe Kissell on-line! See this thread for details.
I am currently using Glassfish v2.1 and I have set up a queue to send and receive messages from with Sesion beans and MDBs respectively. However, I have noticed that I can send only a maximum of 1000 messages to the queue. Is there any reason why I cannot send more than 1000 messages to the queue? I do have a "developer" profile setup for the glassfish domain. Could that be the reason? Or is there some resource configuration setting that I need to modify?
I have added the following configuration properties in the sun-resources.xml file for glassfish:
Joined: Apr 27, 2009
Hmm .. further investigation revealed the following in the imq logs:
[17/Nov/2009:10:27:57 CST] ERROR sendMessage: Sending message failed. Connection ID: 427038234214377984:
com.sun.messaging.jmq.jmsserver.util.BrokerException: transaction failed: [B4303]: The maximum number of messages [1,000] that the producer can process in a single transaction (TID=427038234364096768) has been exceeded. Please either limit the # of messages per transaction or increase the imq.transaction.producer.maxNumMsgs property.
So what would I do if I needed to send more than 5000 messages at a time?
What I am trying to do is to read all the records in a table and update a particular field of each record based on the corresponding value of that record in a legacy table to which I have only read only access. This table has more than 10k records in it. As of now, I am sequentially going through each record in a for loop, getting the corresponding record from the legacy table, comparing the field values, updating the record if necessary and adding corresponding new records in other tables.
However, I was hoping to improve performance by processing all the records asynchronously. To do that I was thinking of sending each record info as a separate message and hence requiring so many messages.