In `ST22, I found a short dump caused by a RFC in a infinite loop.
The problem is that I did not find any jobs that triggered the RFC, nor any errors in SM58.
How can I find out how that RFC was triggered? Which transaction should I check ?
In ST22, in the call stack is just subroutine pool SAPMSSY1
You have a section "caller" in the short dump.
It provides only a very general information. There is the "call program".
Related
I've read the camunda doc, but I don't find anything about it.
I know it doesn't make sense throw something that nobody will catch, but is it possible?
https://docs.camunda.org/manual/7.7/reference/bpmn20/events/signal-events/
https://camunda.com/bpmn/reference/#events-signal
In the Business Process Model And Notation 2.0 specification(can be found at
https://www.omg.org/spec/BPMN/2.0/), P253, in the Table 10.89 - Intermediate Event Types in Normal Flow:
(Signal) This type of Event is used for sending or receiving Signals. A Signal is
for general communication within and across Process levels, across
Pools, and between Business Process Diagrams. A BPMN Signal is
similar to a signal flare that shot into the sky for anyone who might be
interested to notice and then react. Thus, there is a source of the Signal,
but no specific intended target.
Hope that helps.
Yes this is possible. You can model a throwing signal event when there are no receivers. The event will simply throw the signal and continue the normal flow (without anyone ever using the event).
In contrary to that, the catching signal events can not be used without a throwing signal event. If you use a catching signal event without a throwing signal event the process will stop at this event and will never be able to continue.
We want to use delay feature from activeMQ to delay particural event. How does AMQ_SCHEDULED_DELAY work internaly? In documentation is information about scheduler but no information what mechanism it utilize to delay message. For that reason we are not sure how delaying is going to affect activeMQ. Does activeMQ utilize pooling or async to achive delay.
I ask this question because people from my organization want to pick diffrent technology. I do not have any proof delay from activeMQ is any better.
Here is link to source code. I was thinking of looking up code but I'm not good in java. Can anyone help?
Default implementation of ActiveMQ does utilize the polling.
Active MQ internally keep polling for the scheduled (or delayed) messages by a background scheduler thread. This thread read the list of scheduled events (or messages) and fires the jobs, reschedule repeating jobs as needed before firing the job event.
The list of scheduled events is stored in a sorted order in internal storage of activemq. So during poll, it just read event which are scheduled for earliest processing. Since the messages are persisted during enquing, scheduling many not have visible performance impact during processing.
However before adopting, you can setup your benchmark, without worries much internal implementation detail, to see that your performance/SLA requirement are getting met.
For more details, you may refer to Javadoc of job scheduler API. For default implementation can you refers to the code.
Hope this helps.
In looking at the source code mentioned by #skadya, the term "polling" is not what I interpret. It appears to use the Java Object class' wait(long timeout) method to determine when to "wake up" the thread that runs the jobs.
So, I wouldn't call it polling. I would call it an asynchronous mechanism in which the delay / timeout is set such that the thread will wake up (e.g. to run the next scheduled job at the appropriate time) via the timeout set to a value that is appropriate for the next scheduled job's commencement.
Javadoc for Object.wait(long timeout)
Note that the implementation for Object.wait is a native (i.e. non-java) implementation provided by the JDK / JRE / JVM for a given platform. For what that's worth.
It is possible to do performance test with activemq web console. There is an option to send message with configurable delay and number of messages to send. It doesn't answer my question but it seems like best option to compare two approaches.
I am implementing an event store. I have defined a SaveEventsConsumer that handles the storage of events in the event store. If I understand correctly CQRS commands should have no response. Nevertheless, there can be concurrency problems when saving events to the event store. I use RabbitMQ. Should the client be notified so it can notify the user for example? How should it be implemented? Using RPC and an error format?
My first approach is:
Client use RPC like style. SaveEventsConsumer notifies the client (success or failure). If an failure occurs (e.g. concurrency) return the exception to the client.
Is this solution aligned to the CQRS pattern? Is a good approach? Is there any other approach? Is there any improvement? Should I use any AMQP header or property to indicate the error (mimicking HTTP error codes)?
Example, in a cluster:
Two instances of the same application modify the same aggregate. These intances should coordinate (externally to the event-store) or is the event-store which has to detect and notify the response?
While it is true you don't return values from a command, an exception can still occur. A concurrency exception is one example. This implies the exception is thrown as part of the processing of a command. This makes sense when you think about it. You don't ever want events published which have not yet been committed to the event store. It follows then that concurrency conflict checking needs to happen as part of the overall command process.
I have a post which may help. You can find it here.
I have implemented client server program using boost::asio library.
In my implementation there are times when io_service.run() blocks indefinitely. In case I pass another request to io_service, the blocked call begins to execute normally.
Is there any way to see what are the pending requests inside the io_service queue ?
I have not used work object to block the run call!
There are no official ways to query into the io_service to find all pending request. However, there are a few techniques to debug the problem:
Boost 1.47 introduced handler tracking. Simply define BOOST_ASIO_ENABLE_HANDLER_TRACKING and Boost.Asio will write debug output, including timestamps, an identifier, and the operation type, to the standard error stream.
Attach a debugger dig through the layers to find and examine operation queues. This answer covers both understanding handler tracking and using a debugger to examine an operation queue for the epoll_reactor.
Finally, if you believe it is a bug, then it may be worth updating to the latest version or checking the revision history for relevant changes. Regardless, describing the problem in more detail may allow others to help identify the source of the problem and potential solutions.
Now i spent a few hours reading and experimenting (i need more boost::asio functionality for work as well) and it turns out: Kind of.
But it is not as straightforward or readable as one might hope.
Under the hood (well, under the outermost hood) io_service has a bunch of other services registered, which do the work async_ operations of their respective fields require.
These are the "Services" described in the reference.
Now sadly, the services stay registered, wether there is work to do or not. For example if your io_service has a udp socket, it will still have all the corresponding services, even if the socket itself is inactive.
But you can ask your io_service which services it has. Lets say you want to know wether your io_service called m_io_service has an udp datagram_socket_service. Then you can call something like:
if (boost::asio::has_service<boost::asio::datagram_socket_service<boost::asio::ip::udp> >(m_io_service))
{
//Whatever
}
That does not help a lot, because it will be true no matter wether the socket is active or not. But after you know, that you have that service, you can get a ref to it using use_service instead of has_service but with the same elegant amount of <>.
And now you can inspect the service to see what it is up to. Sadly, it will not tell you what the outstanding handlers names are (probably partly because it does not know them) but if it is a socket, you can get its implemention_type and with that check whether it currently is_open or find either the local_endpoint as well as the remote_endpoint.
In case of a deadline_timer_service you can, among other stuff, find out when it expires_at.
See the reference for more information what the service is and is not willing to tell you.
http://www.boost.org/doc/libs/1_54_0/doc/html/boost_asio/reference.html
This information should then hopefully allow you to determine which async_ operation did not return.
And if not, at the very least you can cancel any unexpectedly active services.
I am implementing a parser for the Redis network protocol.
While browsing the documentation, I came across the following statement:
A Multi bulk reply is used to return an array of other replies. Every element of a Multi Bulk Reply can be of any kind, including a nested Multi Bulk Reply.
However, it was unclear to me whether or not this includes status or error replies since returning a status or an error reply within a multi-bulk reply really doesn't make any sense.
Are there any commands that would return a multi-bulk reply that includes a status or error reply?
Yes: transactions and Lua scripts.
See Errors inside a transaction for instance.
(Note: I had written another response that was completely wrong because I had misunderstood your question.)