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.com
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>

diff --git a/tools/perf/Documentation/intel-pt.txt b/tools/perf/Documentation/intel-pt.txt
index 76971d2e416450c24fbb24bb51db584da7661180..115eaacc455fdb020ca34f3c16fb1bcad092b9d1 100644 (file)
--- a/tools/perf/Documentation/intel-pt.txt
+++ b/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.

diff --git a/tools/perf/scripts/python/export-to-postgresql.py b/tools/perf/scripts/python/export-to-postgresql.py
index e46f51b1751310a5263283fa9a9b5f9227ed1e52..0564dd7377f22f098d98a254bc028949628dd824 100644 (file)
--- a/tools/perf/scripts/python/export-to-postgresql.py
+++ b/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:
 #

diff --git a/tools/perf/scripts/python/export-to-sqlite.py b/tools/perf/scripts/python/export-to-sqlite.py
index e4bb82c8aba9e835ea4712e5c00d43443e1d9a9a..245caf2643ed1c4548549be6a48426e1830ab5e1 100644 (file)
--- a/tools/perf/scripts/python/export-to-sqlite.py
+++ b/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

diff --git a/tools/perf/scripts/python/call-graph-from-sql.py b/tools/perf/scripts/python/exported-sql-viewer.py
old mode 100644 (file)
new mode 100755 (executable)
similarity index 98%
rename from tools/perf/scripts/python/call-graph-from-sql.py
rename to tools/perf/scripts/python/exported-sql-viewer.py
index ee10851..03e7a1d
--- a/tools/perf/scripts/python/call-graph-from-sql.py
+++ b/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]