While it is possible to create scripts to analyze the data, an alternative
approach is available to export the data to a sqlite or postgresql database.
Refer to script export-to-sqlite.py or export-to-postgresql.py for more details,
-and to script call-graph-from-postgresql.py for an example of using the database.
+and to script call-graph-from-sql.py for an example of using the database.
There is also script intel-pt-events.py which provides an example of how to
unpack the raw data for power events and PTWRITE.
#!/usr/bin/python2
-# call-graph-from-postgresql.py: create call-graph from postgresql database
-# Copyright (c) 2014, Intel Corporation.
+# call-graph-from-sql.py: create call-graph from postgresql database
+# Copyright (c) 2014-2017, Intel Corporation.
#
# This program is free software; you can redistribute it and/or modify it
# under the terms and conditions of the GNU General Public License,
# Following on from the example in the export-to-postgresql.py script, a
# call-graph can be displayed for the pt_example database like this:
#
-# python tools/perf/scripts/python/call-graph-from-postgresql.py pt_example
+# python tools/perf/scripts/python/call-graph-from-sql.py pt_example
#
# Note this script supports connecting to remote databases by setting hostname,
# port, username, password, and dbname e.g.
#
-# python tools/perf/scripts/python/call-graph-from-postgresql.py "hostname=myhost username=myuser password=mypassword dbname=pt_example"
+# python tools/perf/scripts/python/call-graph-from-sql.py "hostname=myhost username=myuser password=mypassword dbname=pt_example"
#
# The result is a GUI window with a tree representing a context-sensitive
# call-graph. Expanding a couple of levels of the tree and adjusting column
if __name__ == '__main__':
if (len(sys.argv) < 2):
- print >> sys.stderr, "Usage is: call-graph-from-postgresql.py <database name>"
+ print >> sys.stderr, "Usage is: call-graph-from-sql.py <database name>"
raise Exception("Too few arguments")
dbname = sys.argv[1]