Improve a bit README.rst
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README.rst
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README.rst
@ -66,14 +66,14 @@ There are couple of things that you should know about API before learning it.
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* **How profiler works?**
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* **@profiler.Trace()** and **profiler.trace()** are just syntax sugar,
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that just calls profiler.start() & profiler.stop() methods.
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that just calls **profiler.start()** & **profiler.stop()** methods.
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* It sends to **collector** 1 message per every call of profiler.start()
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& profiler.stop(). So every trace point crates 2 records in collector.
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*(more about collector & records later)*
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* Every call of **profiler.start()** & **profiler.stop()** sends to
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**collector** 1 message. It means that every trace point crates 2 records
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in collector. *(more about collector & records later)*
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* There is a support of nested trace points. Sample below, works and will
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produce 2 trace points:
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* Nested trace points are supported. Sample below, works and will produce 2
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trace points:
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.. parsed-literal::
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@ -82,8 +82,8 @@ There are couple of things that you should know about API before learning it.
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profiler.stop()
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profiler.stop()
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This is implemented in quite simple manner. We have one stack that
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contains ids of all trace points. E.g.:
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Implementation in quite simple. Profiler has one stack that contains ids
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of all trace points. E.g.:
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.. parsed-literal::
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@ -98,12 +98,12 @@ There are couple of things that you should know about API before learning it.
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profiler.stop() # send to collector -> trace_stack[-2:]
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# trace_stack.pop()
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Having (pranet_id, id) from all trace points is enough to build a tree
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of nested trace points.
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it's simple to build a tree of nested trace points, having
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**(pranet_id, point_id)** of all trace points.
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* **What is actually send to to collector?**
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Trace points contain 2 messages (start and stop). These messages are
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Trace points contain 2 messages (start and stop). Messages like below are
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send to collector:
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.. parsed-literal::
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@ -121,15 +121,15 @@ There are couple of things that you should know about API before learning it.
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* parent_id - <uuid> of parent trace point
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* trace_id - <uuid> of current trace point
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* info - it's dictionary that contains user information passed via calls of
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profiler start() & stop() methods.
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profiler **start()** & **stop()** methods.
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* **Setting up Collector.**
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Profiler doesn't include any collector for trace points, end user should
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provide method that will send message to collector. Let's take a look at
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trivial sample, where collector is just a file:
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Profiler doesn't include trace points collector. End user should provide
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method that will send messages to collector. Let's take a look at trivial
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sample, where collector is just a file:
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.. parsed-literal::
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@ -137,9 +137,10 @@ There are couple of things that you should know about API before learning it.
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from osprofiler import notifier
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f = open("traces", "a")
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def send_info_to_file_collector(info, context=None):
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with open("traces", "a") as f:
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f.write(json.dumps(info))
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f.write(json.dumps(info))
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notifier.set(send_info_to_file_collector)
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@ -163,7 +164,7 @@ There are couple of things that you should know about API before learning it.
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"SECRET_HMAC_KEY" - will be discussed later, cause it's related to the
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integration of OSprofiler & OpenStack.
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**base_id** and **trace_id** will be used to initialize trace_stack in
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**base_id** and **trace_id** will be used to initialize stack_trace in
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profiler, e.g. stack_trace = [base_id, trace_id].
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@ -178,14 +179,14 @@ There are 4 topics related to integration OSprofiler & OpenStack:
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We decided to use Ceilometer, because:
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* It's already integrated in OpenStack, so it's quite simple to send
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notifications to it from every project.
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notifications to it from all projects.
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* There is a OpenStack API in Ceilometer that allows us to retrieve all
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messages related to one trace. Take a look at
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*osprofiler.parsers.ceilometer:get_notifications*
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* **How to setup profiler notifier, to send messages to this collector**
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* **How to setup profiler notifier**
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We decided to use olso.messaging Notifier API, because:
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