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POIs JMS the answer to the need for a persistent blocking queue?
 

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    <p>I'm creating a library that consists of a Log4J appender that asynchronously sends events to a remote server. When a log statement is made, the appender will asynchronously record the event into a local queue which a pool of consumers will then retrieve and send to the remote.</p> <p>The completely in-memory solution would be to create a BlockingQueue which would handle the concurrency issue. However, I'd like for the queue to be persisted so that if the remote server is not available I don't grow the queue unbounded or start to discard messages in the case of a bounded queue.</p> <p>I was thinking of using an embedded H2 database to store the events locally and then use a polling mechanism to retrieve events and send to the remote. I would much rather use a BlockingQueue than to poll a database table.</p> <p>Is JMS the answer?</p> <p>EDIT:</p> <p>If JMS is the answer, and it seems to be going that way, does anyone have recommendations on a lightweight, embeddable JMS solution that can be configured to only accept messages in-process? In other words, I do not want to, and possibly will not be allowed to, open up a TCP socket on which to listen. </p> <p>EDIT:</p> <p>I've got ActiveMQ embedded now and it seems to be working. Thanks all.</p>
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    1. COJust be aware of the implementation of JMS that you are using and how the infrastructure is set up. Some implementations of JMS allow for multiple threads to read and process messages concurrently. This preservers FIFO from the standpoint of getting picked up by the queue, but does not necessarily preserve FIFO from the standpoint of when messages are processed. Again, check to see your implementation. If you are running JMS that supports concurrent reads, then just make sure it is tuned to disallow them. Or if you don't care, then you can ignore what I just said. :)
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      1. USChris Aldrich
    2. COThanks. It's OK if some of the data is slightly unordered as it can be sorted on event data. My concern with JMS is the overhead of integrating another library. There are a lot of different JMS implementations around - is there one that's easier to implement than others and that can run in an embedded fashion?
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    3. COI'd look for a JMS implementation that supports only the need to access it via the JMS 1.1 and/or 1.2 spec. This way you can just programmatically read and write from the queues using just the API. Only reason I mentioned implementation is that sometimes you have to configure certain things with the vendor implementation to turn on/off concurrency etc. In my case, we stick to IBM products, cause my company loves Big Blue. But you could probably get away with any implementation. In our case, I still tell our developers to stick to just the API and do nothing implementation specific.
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