From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: X-Spam-Checker-Version: SpamAssassin 3.4.0 (2014-02-07) on aws-us-west-2-korg-lkml-1.web.codeaurora.org X-Spam-Level: X-Spam-Status: No, score=-8.8 required=3.0 tests=HEADER_FROM_DIFFERENT_DOMAINS, INCLUDES_PATCH,MAILING_LIST_MULTI,SIGNED_OFF_BY,SPF_PASS,URIBL_BLOCKED, USER_AGENT_GIT autolearn=ham autolearn_force=no version=3.4.0 Received: from mail.kernel.org (mail.kernel.org [198.145.29.99]) by smtp.lore.kernel.org (Postfix) with ESMTP id 1AE88C43143 for ; Mon, 1 Oct 2018 06:35:49 +0000 (UTC) Received: from vger.kernel.org (vger.kernel.org [209.132.180.67]) by mail.kernel.org (Postfix) with ESMTP id DF9DE206B2 for ; Mon, 1 Oct 2018 06:35:48 +0000 (UTC) DMARC-Filter: OpenDMARC Filter v1.3.2 mail.kernel.org DF9DE206B2 Authentication-Results: mail.kernel.org; dmarc=fail (p=none dis=none) header.from=intel.com Authentication-Results: mail.kernel.org; spf=none smtp.mailfrom=linux-kernel-owner@vger.kernel.org Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S1729017AbeJANL5 (ORCPT ); Mon, 1 Oct 2018 09:11:57 -0400 Received: from mga12.intel.com ([192.55.52.136]:10738 "EHLO mga12.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1728879AbeJANLz (ORCPT ); Mon, 1 Oct 2018 09:11:55 -0400 X-Amp-Result: SKIPPED(no attachment in message) X-Amp-File-Uploaded: False Received: from orsmga007.jf.intel.com ([10.7.209.58]) by fmsmga106.fm.intel.com with ESMTP/TLS/DHE-RSA-AES256-GCM-SHA384; 30 Sep 2018 23:35:45 -0700 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.54,326,1534834800"; d="scan'208";a="77466510" Received: from ahunter-desktop.fi.intel.com ([10.237.72.98]) by orsmga007.jf.intel.com with ESMTP; 30 Sep 2018 23:31:10 -0700 From: Adrian Hunter To: Arnaldo Carvalho de Melo Cc: Jiri Olsa , Andi Kleen , linux-kernel@vger.kernel.org Subject: [PATCH 12/19] perf scripts python: call-graph-from-sql.py: Rename to exported-sql-viewer.py Date: Mon, 1 Oct 2018 09:28:46 +0300 Message-Id: <20181001062853.28285-13-adrian.hunter@intel.com> X-Mailer: git-send-email 2.17.1 In-Reply-To: <20181001062853.28285-1-adrian.hunter@intel.com> References: <20181001062853.28285-1-adrian.hunter@intel.com> Organization: Intel Finland Oy, Registered Address: PL 281, 00181 Helsinki, Business Identity Code: 0357606 - 4, Domiciled in Helsinki Sender: linux-kernel-owner@vger.kernel.org Precedence: bulk List-ID: X-Mailing-List: linux-kernel@vger.kernel.org Additional reports will be added to the script so rename to reflect the more general purpose. Signed-off-by: Adrian Hunter --- 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 " + print >> sys.stderr, "Usage is: exported-sql-viewer.py " raise Exception("Too few arguments") dbname = sys.argv[1] -- 2.17.1