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=-12.0 required=3.0 tests=HEADER_FROM_DIFFERENT_DOMAINS,INCLUDES_PATCH,MAILING_LIST_MULTI, MENTIONS_GIT_HOSTING,SIGNED_OFF_BY,SPF_PASS,URIBL_BLOCKED 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 CD000C43381 for ; Sat, 9 Mar 2019 20:04:26 +0000 (UTC) Received: from vger.kernel.org (vger.kernel.org [209.132.180.67]) by mail.kernel.org (Postfix) with ESMTP id 99C6A206BA for ; Sat, 9 Mar 2019 20:04:26 +0000 (UTC) Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S1726586AbfCIUEZ (ORCPT ); Sat, 9 Mar 2019 15:04:25 -0500 Received: from terminus.zytor.com ([198.137.202.136]:52735 "EHLO terminus.zytor.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1726298AbfCIUEZ (ORCPT ); Sat, 9 Mar 2019 15:04:25 -0500 Received: from terminus.zytor.com (localhost [127.0.0.1]) by terminus.zytor.com (8.15.2/8.15.2) with ESMTPS id x29K4E573205557 (version=TLSv1.3 cipher=TLS_AES_256_GCM_SHA384 bits=256 verify=NO); Sat, 9 Mar 2019 12:04:15 -0800 Received: (from tipbot@localhost) by terminus.zytor.com (8.15.2/8.15.2/Submit) id x29K4EYw3205554; Sat, 9 Mar 2019 12:04:14 -0800 Date: Sat, 9 Mar 2019 12:04:14 -0800 X-Authentication-Warning: terminus.zytor.com: tipbot set sender to tipbot@zytor.com using -f From: tip-bot for Tony Jones Message-ID: Cc: tglx@linutronix.de, mingo@kernel.org, feng.tang@intel.com, tonyj@suse.de, s1seetee@linux.vnet.ibm.com, linux-kernel@vger.kernel.org, acme@redhat.com, hpa@zytor.com Reply-To: feng.tang@intel.com, tonyj@suse.de, tglx@linutronix.de, mingo@kernel.org, acme@redhat.com, hpa@zytor.com, linux-kernel@vger.kernel.org, s1seetee@linux.vnet.ibm.com In-Reply-To: <20190302011903.2416-5-tonyj@suse.de> References: <20190302011903.2416-5-tonyj@suse.de> To: linux-tip-commits@vger.kernel.org Subject: [tip:perf/urgent] perf script python: Add Python3 support to event_analyzing_sample.py Git-Commit-ID: c253c72e9d6723c8b078beb362f050059ef5de39 X-Mailer: tip-git-log-daemon Robot-ID: Robot-Unsubscribe: Contact to get blacklisted from these emails MIME-Version: 1.0 Content-Transfer-Encoding: 8bit Content-Type: text/plain; charset=UTF-8 Content-Disposition: inline Sender: linux-kernel-owner@vger.kernel.org Precedence: bulk List-ID: X-Mailing-List: linux-kernel@vger.kernel.org Commit-ID: c253c72e9d6723c8b078beb362f050059ef5de39 Gitweb: https://git.kernel.org/tip/c253c72e9d6723c8b078beb362f050059ef5de39 Author: Tony Jones AuthorDate: Fri, 1 Mar 2019 17:19:00 -0800 Committer: Arnaldo Carvalho de Melo CommitDate: Wed, 6 Mar 2019 18:11:11 -0300 perf script python: Add Python3 support to event_analyzing_sample.py Support both Python2 and Python3 in the event_analyzing_sample.py script There may be differences in the ordering of output lines due to differences in dictionary ordering etc. However the format within lines should be unchanged. The use of 'from __future__' implies the minimum supported Python2 version is now v2.6 Signed-off-by: Tony Jones Cc: Feng Tang Link: http://lkml.kernel.org/r/20190302011903.2416-5-tonyj@suse.de Signed-off-by: Seeteena Thoufeek Signed-off-by: Arnaldo Carvalho de Melo --- .../perf/scripts/python/event_analyzing_sample.py | 48 +++++++++++----------- 1 file changed, 25 insertions(+), 23 deletions(-) diff --git a/tools/perf/scripts/python/event_analyzing_sample.py b/tools/perf/scripts/python/event_analyzing_sample.py index 2ec8915b74c5..aa1e2cfa26a6 100644 --- a/tools/perf/scripts/python/event_analyzing_sample.py +++ b/tools/perf/scripts/python/event_analyzing_sample.py @@ -15,6 +15,8 @@ # for a x86 HW PMU event: PEBS with load latency data. # +from __future__ import print_function + import os import sys import math @@ -37,7 +39,7 @@ con = sqlite3.connect("/dev/shm/perf.db") con.isolation_level = None def trace_begin(): - print "In trace_begin:\n" + print("In trace_begin:\n") # # Will create several tables at the start, pebs_ll is for PEBS data with @@ -76,12 +78,12 @@ def process_event(param_dict): name = param_dict["ev_name"] # Symbol and dso info are not always resolved - if (param_dict.has_key("dso")): + if ("dso" in param_dict): dso = param_dict["dso"] else: dso = "Unknown_dso" - if (param_dict.has_key("symbol")): + if ("symbol" in param_dict): symbol = param_dict["symbol"] else: symbol = "Unknown_symbol" @@ -102,7 +104,7 @@ def insert_db(event): event.ip, event.status, event.dse, event.dla, event.lat)) def trace_end(): - print "In trace_end:\n" + print("In trace_end:\n") # We show the basic info for the 2 type of event classes show_general_events() show_pebs_ll() @@ -123,29 +125,29 @@ def show_general_events(): # Check the total record number in the table count = con.execute("select count(*) from gen_events") for t in count: - print "There is %d records in gen_events table" % t[0] + print("There is %d records in gen_events table" % t[0]) if t[0] == 0: return - print "Statistics about the general events grouped by thread/symbol/dso: \n" + print("Statistics about the general events grouped by thread/symbol/dso: \n") # Group by thread commq = con.execute("select comm, count(comm) from gen_events group by comm order by -count(comm)") - print "\n%16s %8s %16s\n%s" % ("comm", "number", "histogram", "="*42) + print("\n%16s %8s %16s\n%s" % ("comm", "number", "histogram", "="*42)) for row in commq: - print "%16s %8d %s" % (row[0], row[1], num2sym(row[1])) + print("%16s %8d %s" % (row[0], row[1], num2sym(row[1]))) # Group by symbol - print "\n%32s %8s %16s\n%s" % ("symbol", "number", "histogram", "="*58) + print("\n%32s %8s %16s\n%s" % ("symbol", "number", "histogram", "="*58)) symbolq = con.execute("select symbol, count(symbol) from gen_events group by symbol order by -count(symbol)") for row in symbolq: - print "%32s %8d %s" % (row[0], row[1], num2sym(row[1])) + print("%32s %8d %s" % (row[0], row[1], num2sym(row[1]))) # Group by dso - print "\n%40s %8s %16s\n%s" % ("dso", "number", "histogram", "="*74) + print("\n%40s %8s %16s\n%s" % ("dso", "number", "histogram", "="*74)) dsoq = con.execute("select dso, count(dso) from gen_events group by dso order by -count(dso)") for row in dsoq: - print "%40s %8d %s" % (row[0], row[1], num2sym(row[1])) + print("%40s %8d %s" % (row[0], row[1], num2sym(row[1]))) # # This function just shows the basic info, and we could do more with the @@ -156,35 +158,35 @@ def show_pebs_ll(): count = con.execute("select count(*) from pebs_ll") for t in count: - print "There is %d records in pebs_ll table" % t[0] + print("There is %d records in pebs_ll table" % t[0]) if t[0] == 0: return - print "Statistics about the PEBS Load Latency events grouped by thread/symbol/dse/latency: \n" + print("Statistics about the PEBS Load Latency events grouped by thread/symbol/dse/latency: \n") # Group by thread commq = con.execute("select comm, count(comm) from pebs_ll group by comm order by -count(comm)") - print "\n%16s %8s %16s\n%s" % ("comm", "number", "histogram", "="*42) + print("\n%16s %8s %16s\n%s" % ("comm", "number", "histogram", "="*42)) for row in commq: - print "%16s %8d %s" % (row[0], row[1], num2sym(row[1])) + print("%16s %8d %s" % (row[0], row[1], num2sym(row[1]))) # Group by symbol - print "\n%32s %8s %16s\n%s" % ("symbol", "number", "histogram", "="*58) + print("\n%32s %8s %16s\n%s" % ("symbol", "number", "histogram", "="*58)) symbolq = con.execute("select symbol, count(symbol) from pebs_ll group by symbol order by -count(symbol)") for row in symbolq: - print "%32s %8d %s" % (row[0], row[1], num2sym(row[1])) + print("%32s %8d %s" % (row[0], row[1], num2sym(row[1]))) # Group by dse dseq = con.execute("select dse, count(dse) from pebs_ll group by dse order by -count(dse)") - print "\n%32s %8s %16s\n%s" % ("dse", "number", "histogram", "="*58) + print("\n%32s %8s %16s\n%s" % ("dse", "number", "histogram", "="*58)) for row in dseq: - print "%32s %8d %s" % (row[0], row[1], num2sym(row[1])) + print("%32s %8d %s" % (row[0], row[1], num2sym(row[1]))) # Group by latency latq = con.execute("select lat, count(lat) from pebs_ll group by lat order by lat") - print "\n%32s %8s %16s\n%s" % ("latency", "number", "histogram", "="*58) + print("\n%32s %8s %16s\n%s" % ("latency", "number", "histogram", "="*58)) for row in latq: - print "%32s %8d %s" % (row[0], row[1], num2sym(row[1])) + print("%32s %8d %s" % (row[0], row[1], num2sym(row[1]))) def trace_unhandled(event_name, context, event_fields_dict): - print ' '.join(['%s=%s'%(k,str(v))for k,v in sorted(event_fields_dict.items())]) + print (' '.join(['%s=%s'%(k,str(v))for k,v in sorted(event_fields_dict.items())]))