linux-kernel - [tip:perf/urgent] perf scripts python: call-graph-from-sql.py: Rename to exported-sql-viewer.py

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Date:   Fri, 26 Oct 2018 00:42:14 -0700
From:   tip-bot for Adrian Hunter <tipbot@...or.com>
To:     linux-tip-commits@...r.kernel.org
Cc:     adrian.hunter@...el.com, mingo@...nel.org, tglx@...utronix.de,
        ak@...ux.intel.com, jolsa@...hat.com, hpa@...or.com,
        acme@...hat.com, linux-kernel@...r.kernel.org
Subject: [tip:perf/urgent] perf scripts python: call-graph-from-sql.py:
 Rename to exported-sql-viewer.py

Commit-ID:  031c2a004ba75a4f8f2a6d0a7ca6f2fe5912de22
Gitweb:     https://git.kernel.org/tip/031c2a004ba75a4f8f2a6d0a7ca6f2fe5912de22
Author:     Adrian Hunter <adrian.hunter@...el.com>
AuthorDate: Mon, 1 Oct 2018 09:28:46 +0300
Committer:  Arnaldo Carvalho de Melo <acme@...hat.com>
CommitDate: Tue, 23 Oct 2018 14:26:44 -0300

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@...el.com>
Cc: Andi Kleen <ak@...ux.intel.com>
Cc: Jiri Olsa <jolsa@...hat.com>
Link: http://lkml.kernel.org/r/20181001062853.28285-13-adrian.hunter@intel.com
Signed-off-by: Arnaldo Carvalho de Melo <acme@...hat.com>
---
 tools/perf/Documentation/intel-pt.txt                               | 2 +-
 tools/perf/scripts/python/export-to-postgresql.py                   | 2 +-
 tools/perf/scripts/python/export-to-sqlite.py                       | 2 +-
 .../python/{call-graph-from-sql.py => exported-sql-viewer.py}       | 6 +++---
 4 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/tools/perf/Documentation/intel-pt.txt b/tools/perf/Documentation/intel-pt.txt
index 76971d2e4164..115eaacc455f 100644
--- 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 e46f51b17513..0564dd7377f2 100644
--- 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 e4bb82c8aba9..245caf2643ed 100644
--- 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
new mode 100755
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 ee1085169a3e..03e7a1de7f31
--- 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]