Repeated values in the measure (FPGA, cRio) signals

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  Thank you...

  That's exactly right.  Don't forget, when you compile an FPGA VI you essentially create the material and directly attributing to IO advanced logic.  You can use a case to transport the data to the channels of e/s suitable for the test that you use if you have a series of assignments of specific channels for each test.

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  Hello

  I'm relatively new to LabView, but I went through the Forums and google a lot and have not found a solution. I have this problem:

  I have an analog signal from my USB6009 DAQ of NOR. I want to take the signal I got 2 seconds ago and subtract its value to the current value. And I want to do it countinously.

  My data are acquired 1 sample on request by NIDAQ Deputy in while loop.

  Signal result should be something like:

  Y = y - y(t-2), where there is a result and there is a signal of NIDAQ.

  Can you help me or anything else you need to know to help me? Thank you.

  You must use a ring instead of the shift register buffer.

  

  Your signal source must be configured to read constantly (take readings more (best would be multiple of line period) and average)

• How to retrieve the value of a measure over a period determined using VROPS 6.1?

  Hello!

  Is it possible to extract a metric, using supermetrics for example or any other means, the value of a measure over a period of time?

  For example, I will pick up average CPU usage of my VMs during the last hour with VROPS 6.1?

  How could I do that please?
  

  
  

  Concerning

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• What is the measure of the value "Waiting" in AWR report?

  Event	Expected	% Time - out	Wait total (s) times	AVG wait (ms)	Waiting for /txn
  SQL * Net more data from dblink	406 747		466	1	184.13
  reading of scattered files DB	28 659		330	12	12.97
  SQL * Net message from dblink the	30 115		254	8	13.63
  log file parallel write	21 021		177	8	9.52

  Hi all

  As the example below, I question what is the measure of the value "Waiting" in the section "event wait" AWR report?

  Because "Expected" the value is high, but "Queue time Total (s)" is low. example "SQL * Net message from dblink the" a 30 115 "expected' but 'Queue time Total (s)' lower 'DB file scattered read' w 28 659 'wait '.

  Could you please explain more about the value "waiting"?

  Thank you

  Hiko

  taohiko wrote:

  Event	Waits	%Time -outs	Wait total (s) times	Avg wait (ms)	Waits /txn
  SQL * Net more data from dblink	406 747		466	1	184.13
  reading of scattered files DB	28 659		330	12	12.97
  SQL * Net message from dblink the	30 115		254	8	13.63
  log file parallel write	21 021		177	8	9.52

  Hi all

  As the example below, I question what is the measure of the value "Waiting" in the section "event wait" AWR report?

  It is simply a... count the number of times where the system had to "WAIT" on the specified event.

  Because "Expected" the value is high, but "Queue time Total (s)" is low. example "SQL * Net message from dblink the" a 30 115 "expected' but 'Queue time Total (s)' lower 'DB file scattered read' w 28 659 'wait '.

  Watch "AVG time-out.    In one case, there are fewer occurrences of the event, but the average wait by event time was higher.

  If I buy 3 burgers and pay $1000 each

  or I buy 500 burgers and pay $1.00 each.

  Why 3 hamburgers cost more than 500 burgers?

  Could you please explain more about the value "waiting"?

  "Waiting" is the number of times that the system had to wait for the named event, during the sampling period.

  "Total wait time" is the total time (measured in seconds) spent waiting on all occurrences of the specified event, during the sampling period.

  "Avg" wait"is the time (expressed in milliseconds) means spent on each occurrence of the specified event, during the sampling period.

  It seems pretty obvious.  You count how many times it happens something (wait), you measure it, time spent doing this something fracture (total wait time) and tells you the total time spent (total wait time) by the number of times it happened (waits) to find out the average time spent on each occurrence of that something.

  Thank you

  Hiko