perf script python: Rename call-graph-from-postgresql.py to call-graph-from-sql.py

Rename call-graph-from-postgresql.py to call-graph-from-sql.py in
preparation for adding support to it for SQLite 3.
Signed-off-by: Adrian Hunter <adrian.hunter@intel.com>
Link: http://lkml.kernel.org/r/1501749090-20357-5-git-send-email-adrian.hunter@intel.comSigned-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>

tools/perf/Documentation/intel-pt.txt

@@ -106,7 +106,7 @@ in transaction, respectively.
 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.

tools/perf/scripts/python/call-graph-from-postgresql.py → tools/perf/scripts/python/call-graph-from-sql.py

 #!/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,
@@ -17,12 +17,12 @@
 # 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
@@ -291,7 +291,7 @@ class MainWindow(QMainWindow):
 
 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]

tools/perf/scripts/python/export-to-postgresql.py

@@ -59,7 +59,7 @@ import datetime
 #	pt_example=# \q
 #
 # An example of using the database is provided by the script
-# call-graph-from-postgresql.py.  Refer to that script for details.
+# call-graph-from-sql.py.  Refer to that script for details.
 #
 # Tables:
 #