The number of Executors per Component and the number of Tasks per Component are seen on the Topology Page—the same page where the Visualization is found.
There are two tables: one for Spouts and one for Bolts. -- Derek ________________________________ From: Xunyun Liu <[email protected]> To: [email protected]; Derek Dagit <[email protected]> Sent: Monday, August 3, 2015 6:57 PM Subject: Re: What does the size of circle mean in the Topology Visualization Thank you, Derek. I thought that the size of circle would indicate the proper parallelism hint for this component, but now it appears that is not the case. If so, how would I determine the number of executors and tasks for each component? I know looking at capacity is a good starting point, but with only capacity information it feels like that the decision process could be very time-consuming and cumbersome, which is the reason why I looked into the topology visualization hoping to get some hints from it. If the visualization part is a dead end, is there any other indications beside capacity or general rule of thumb that I can make use of? Thank you for your precious time. On 4 August 2015 at 00:33, Derek Dagit <[email protected]> wrote: Actually, I believe the size of the circle is determined by the length of the string that is rendered in it, and it is not due to an other property or metric of the topology. > > >There is room for improvement to the visualization. > >-- >Derek > > > > >________________________________ >From: Xunyun Liu <[email protected]> >To: [email protected] >Sent: Monday, August 3, 2015 12:05 AM >Subject: What does the size of circle mean in the Topology Visualization > > > > >Hi there, > >I found that the circles in the topology visualization have different size, >what does that mean exactly? Besides there is a case from the visualization >showing that the sum of ratios of stream could even be larger than 1, is that >a normal or just a program bug? > >Thank you for your time. > >Best Regards >Xunyun Liu > -- Best Regards. ======================================================Xunyun Liu The Cloud Computing and Distributed Systems (CLOUDS) Laboratory, The University of Melbourne
