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Message-Id: <20181001062853.28285-13-adrian.hunter@intel.com>
Date: Mon, 1 Oct 2018 09:28:46 +0300
From: Adrian Hunter <adrian.hunter@...el.com>
To: Arnaldo Carvalho de Melo <acme@...nel.org>
Cc: Jiri Olsa <jolsa@...hat.com>, Andi Kleen <ak@...ux.intel.com>,
linux-kernel@...r.kernel.org
Subject: [PATCH 12/19] 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>
---
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 +-
.../{call-graph-from-sql.py => exported-sql-viewer.py} | 6 +++---
4 files changed, 6 insertions(+), 6 deletions(-)
rename tools/perf/scripts/python/{call-graph-from-sql.py => exported-sql-viewer.py} (98%)
mode change 100644 => 100755
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 efcaf6cac2eb..ff1e8cc72938 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 f827bf77e9d2..709f67d89e46 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]
--
2.17.1
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