In ActiveMQ there are 3 areas where messages are stored by the broker: in broker's memory, in persistence store and in temp storage.
All messages get first put into the broker's memory until it fills up. Persistent messages always get additionally saved to the persistence store (KahaDB by default). Non persistent messages are held in memory until broker memory is exhausted. Then, if the default FileCursor is used, they get swapped out to disk (swapping does not happen with VMCursor). The temp storage typically resides in directory data/localhost/tmp_storage.
All three areas are configured in activemq.xml using
<systemUsage>
<systemUsage>
<memoryUsage>
<memoryUsage limit="20 mb"/>
</memoryUsage>
<storeUsage>
<storeUsage limit="1 gb"/>
</storeUsage>
<tempUsage>
<tempUsage limit="100 mb"/>
</tempUsage>
</systemUsage>
</systemUsage>
An important advice is to never set the tempUsage limit below the journalFileSize for the temporary storage (32 MB by default but configurable)! So if you don't explicitly configure the journaleFileSize for temp messages in KahaDB, never set the tempUsage limit below 32 MB!
This configuration will most likely cause problems
<tempUsage>
<tempUsage limit="30 mb"/>
</tempUsage>
Here is the reason why:
The temp storage is only used with non-persistent messages, so typically with topic messages.
In the case of running fast subscribers that keep up with the producers, you will most likely never need to swap messages as all outstanding messages can all be held in memory.
There may be peak times however where the producer rate is higher than the rate for consuming messages. So swapping of messages might occur.
When a subscription realizes that there is no further heap memory to take on new messages (due to whatever configured memory limit), it will start to swap out all messages it holds to temp storage. All messages of a particular subscription get swapped in one go! That process is rather slow and for a larger amount of messages to be swapped might easily take a few mins.
Side Note 1: The dispatching of topic messages to each topic subscription inside the broker is serialized. If a topic has 5 subscribers then a new message gets dispatched to each subscription in a serialized manner. The first subscription that tries to handle a new message might realize that memory is full and starts to swap all of its yet undelivered messages. The swapping is actually done by the FilePendingMessageCursor. After swapping messages to temp storage, the subscription can handle the new message and send it to the external client. There is one FilePendingMessageCursor instance for each subscription. The next subscription is only called once the previous subscription has sent the message and will then normally find enough space in heap memory again to handle the new message in memory. If not, it will start to swap out its messages too to free more heap.
Side Note 2: Because of all messages being swapped in one go by a subscription, it may happen that after the swap has finished the temp storage is above 100% usage. This might occur either when
1) using a memoryUsage > tempUsage and the subscription holds a large amount of messages, but also
2) when configuring a tempUsage limit < 32 MB (see above).
In the case 1) it is possible that the amount of messages held in a subscription is larger than the tempUsage limit. So after swapping all messages of a subscription into temp storage, the tempUsage is > 100%.
In case 2) once swapping starts, the persistence adapter (which is also responsible for writing messages to temp storage) will create a db-1.log file in temp storage and its default file size is 32 MB. Again tempUsage is > 100% after writing this file irrespective of how many messages got swapped to temp storage.
You might see the following log statement in the broker log file when temp storage has filled up after messages got swapped to disk.
INFO TopicSubscription - TopicSubscription: consumer=ID:nbwfhtmielke-1380-1298467525966-2:1:1:1, destinations=1, dispatched=99, delivered=9622, matched=231, discarded=0: Pending message cursor [org.apache.activemq.broker.region.cursors.FilePendingMessageCursor@3c0737] is full, temp usage (129%) or memory usage (0%) limit reached, blocking message add() pending the release of resources.
With producer flow control enabled, any producers will be put on hold until the swapping of messages has finished (and additional heap memory is available) and also until the tempUsage < 100%. Subscribers still get messages dispatched while tempUsage > 100%, only producers are stopped. Any consumed messages free additional space from temp storage. Once the temp usage is < 100% producers get resumed.
As messages get consumed the data files get deleted from temp storage. All except for the first file which will be reused in case any of new messages that need to be swapped.
And there is the problem: The first data file never gets deleted. Its default size is 32 MB and hence still above the configured tempUsage limit (30 MB in our example). As the file never gets deleted, tempUsage never goes < 100% and therefore the producer is flow controlled forever and never gets resumed.
From an external viewpoint it seems as if either the broker or the producer is hung. The subscribers have consumed all message but producers don't send any further messages.
Some more useful notes on broker memory configuration can be found here.
Lesson learned:
- Don't configure a tempUsage limit < default size of the journal file (32 MB).
- Swapping out messages to temp storage can be rather slow. If you already using producer flow control with topic messages, the VM cursor might be an alternative. It won't swap messages to disk.
3 comments:
If i use only SEDA flows, can we disable ActiveMQ message broker.
If I disable producer flow control, are the settings still used and if so in what manner?
Torsten,
As I attempt to answer the previous question, let me know if I am correct.
Yes, if you disable producer flow control, your message cursor (if using File or Store) will still be able to accommodate messages from the producers without slowing down the producer or sending exceptions back, etc. But paging messages in from the temp store or persistent store will be slower than using VM cursor or the .
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