Live view overview
When you trigger a capture session in Streamline, the Live view opens automatically. It charts capture data in real time and provides a list of processes alongside usage data.
Figure 5-1 Live view
You can use the chart handles to reorder the active charts in Live view, and you can use the bottom of the handle to re-size the height of a chart. Disclosure controls enable you to view chart data for an aggregate of all cores or for each core, for charts that support per-core data.
Below the charts is a list of the known processes and usage statistics
for each of them. This list updates continuously as long as the capture session is
running. When a process dies, its name and ID remain in the list but are shown in gray,
xaos in the following list:
Figure 5-2 Dead process in Live view
NoteTo display data in real time in the Live view, you must set Buffer Mode to Streaming in the Capture & Analysis Options dialog box. If Streaming is not active during a capture session, Live view still appears, but without any real time display of data.
At the bottom of the view is a field that enables automatic image transfer. Enter a regex in the field to match the names of images to retrieve from the target, and use the checkbox to indicate whether to transfer any libraries that they use.
The toolbar of the Live view displays the real time duration of the live capture in seconds. If there is latency in the data passing from the target, this displays the text Target latency - resyncing… beside the capture duration, and the Live view halts scrolling until the data can catch up.
If you selected the Discard Data option in the Capture & Analysis Options dialog box, the Stop capture and analyze button in the toolbar is inactive and appears grayed out. This means that when the capture session terminates, Streamline discards the data.
The Live view is intended to give feedback during a capture session. The full functionality and data provided by the various views of Streamline are only available after you have stopped your capture session and Streamline has processed the data in the capture.