perf scripts python: call-graph-from-sql.py: Rename to exported-sql-viewer.py

Additional reports will be added to the script so rename to reflect the
more general purpose.
Signed-off-by: Adrian Hunter <adrian.hunter@intel.com>
Cc: Andi Kleen <ak@linux.intel.com>
Cc: Jiri Olsa <jolsa@redhat.com>
Link: http://lkml.kernel.org/r/20181001062853.28285-13-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-sql.py for an example of using the database.
+and to script exported-sql-viewer.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/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-sql.py.  Refer to that script for details.
+# exported-sql-viewer.py.  Refer to that script for details.
 #
 # Tables:
 #

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

@@ -40,7 +40,7 @@ import datetime
 #	sqlite> .quit
 #
 # An example of using the database is provided by the script
-# call-graph-from-sql.py.  Refer to that script for details.
+# exported-sql-viewer.py.  Refer to that script for details.
 #
 # The database structure is practically the same as created by the script
 # export-to-postgresql.py. Refer to that script for details.  A notable

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

@@ -10,12 +10,12 @@
 # Following on from the example in the export scripts, a
 # call-graph can be displayed for the pt_example database like this:
 #
-#	python tools/perf/scripts/python/call-graph-from-sql.py pt_example
+#	python tools/perf/scripts/python/exported-sql-viewer.py pt_example
 #
 # Note that for PostgreSQL, 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-sql.py "hostname=myhost username=myuser password=mypassword dbname=pt_example"
+#	python tools/perf/scripts/python/exported-sql-viewer.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
@@ -365,7 +365,7 @@ class DBRef():
 
 def Main():
 	if (len(sys.argv) < 2):
-		print >> sys.stderr, "Usage is: call-graph-from-sql.py <database name>"
+		print >> sys.stderr, "Usage is: exported-sql-viewer.py <database name>"
 		raise Exception("Too few arguments")
 
 	dbname = sys.argv[1]