From mboxrd@z Thu Jan  1 00:00:00 1970
Return-Path: <SRS0=t5Ns=QU=lists.ozlabs.org=linuxppc-dev-bounces+linuxppc-dev=archiver.kernel.org@kernel.org>
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=-7.5 required=3.0 tests=HEADER_FROM_DIFFERENT_DOMAINS,
	MAILING_LIST_MULTI,MENTIONS_GIT_HOSTING,SPF_PASS,URIBL_BLOCKED,
	USER_AGENT_MUTT autolearn=unavailable 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 52755C282C4
	for <linuxppc-dev@archiver.kernel.org>; Wed, 13 Feb 2019 02:15:26 +0000 (UTC)
Received: from lists.ozlabs.org (lists.ozlabs.org [203.11.71.2])
	(using TLSv1.2 with cipher ECDHE-RSA-AES256-GCM-SHA384 (256/256 bits))
	(No client certificate requested)
	by mail.kernel.org (Postfix) with ESMTPS id 6A759222BB
	for <linuxppc-dev@archiver.kernel.org>; Wed, 13 Feb 2019 02:15:25 +0000 (UTC)
DMARC-Filter: OpenDMARC Filter v1.3.2 mail.kernel.org 6A759222BB
Authentication-Results: mail.kernel.org; dmarc=fail (p=none dis=none) header.from=intel.com
Authentication-Results: mail.kernel.org; spf=pass smtp.mailfrom=linuxppc-dev-bounces+linuxppc-dev=archiver.kernel.org@lists.ozlabs.org
Received: from lists.ozlabs.org (lists.ozlabs.org [IPv6:2401:3900:2:1::3])
	by lists.ozlabs.org (Postfix) with ESMTP id 43zjmB6CwkzDqQ5
	for <linuxppc-dev@archiver.kernel.org>; Wed, 13 Feb 2019 13:15:22 +1100 (AEDT)
Authentication-Results: lists.ozlabs.org;
 spf=pass (mailfrom) smtp.mailfrom=intel.com
 (client-ip=134.134.136.20; helo=mga02.intel.com; envelope-from=lkp@intel.com;
 receiver=<UNKNOWN>)
Authentication-Results: lists.ozlabs.org;
 dmarc=pass (p=none dis=none) header.from=intel.com
Received: from mga02.intel.com (mga02.intel.com [134.134.136.20])
 (using TLSv1.2 with cipher ECDHE-RSA-AES256-GCM-SHA384 (256/256 bits))
 (No client certificate requested)
 by lists.ozlabs.org (Postfix) with ESMTPS id 43zjkP00ygzDqNC
 for <linuxppc-dev@lists.ozlabs.org>; Wed, 13 Feb 2019 13:13:46 +1100 (AEDT)
X-Amp-Result: UNSCANNABLE
X-Amp-File-Uploaded: False
Received: from fmsmga003.fm.intel.com ([10.253.24.29])
 by orsmga101.jf.intel.com with ESMTP/TLS/DHE-RSA-AES256-GCM-SHA384;
 12 Feb 2019 18:13:43 -0800
X-ExtLoop1: 1
X-IronPort-AV: E=Sophos;i="5.58,364,1544515200"; 
 d="gz'50?scan'50,208,50";a="133138053"
Received: from lkp-server01.sh.intel.com (HELO lkp-server01) ([10.239.97.150])
 by FMSMGA003.fm.intel.com with ESMTP; 12 Feb 2019 18:13:40 -0800
Received: from kbuild by lkp-server01 with local (Exim 4.89)
 (envelope-from <lkp@intel.com>)
 id 1gtk3P-0008v8-P3; Wed, 13 Feb 2019 10:13:39 +0800
Date: Wed, 13 Feb 2019 10:13:12 +0800
From: kbuild test robot <lkp@intel.com>
To: Michal Hocko <mhocko@kernel.org>
Subject: Re: [PATCH 2/2] mm: be more verbose about zonelist initialization
Message-ID: <201902131040.INxQrE4R%fengguang.wu@intel.com>
References: <20190212095343.23315-3-mhocko@kernel.org>
MIME-Version: 1.0
Content-Type: multipart/mixed; boundary="a8Wt8u1KmwUX3Y2C"
Content-Disposition: inline
In-Reply-To: <20190212095343.23315-3-mhocko@kernel.org>
User-Agent: Mutt/1.5.23 (2014-03-12)
X-BeenThere: linuxppc-dev@lists.ozlabs.org
X-Mailman-Version: 2.1.29
Precedence: list
List-Id: Linux on PowerPC Developers Mail List <linuxppc-dev.lists.ozlabs.org>
List-Unsubscribe: <https://lists.ozlabs.org/options/linuxppc-dev>,
 <mailto:linuxppc-dev-request@lists.ozlabs.org?subject=unsubscribe>
List-Archive: <http://lists.ozlabs.org/pipermail/linuxppc-dev/>
List-Post: <mailto:linuxppc-dev@lists.ozlabs.org>
List-Help: <mailto:linuxppc-dev-request@lists.ozlabs.org?subject=help>
List-Subscribe: <https://lists.ozlabs.org/listinfo/linuxppc-dev>,
 <mailto:linuxppc-dev-request@lists.ozlabs.org?subject=subscribe>
Cc: Tony Luck <tony.luck@intel.com>, linux-ia64@vger.kernel.org,
 Dave Hansen <dave.hansen@intel.com>, Peter Zijlstra <peterz@infradead.org>,
 x86@kernel.org, LKML <linux-kernel@vger.kernel.org>,
 Pingfan Liu <kernelfans@gmail.com>, linux-mm@kvack.org,
 Michal Hocko <mhocko@suse.com>, kbuild-all@01.org, Ingo Molnar <mingo@elte.hu>,
 linuxppc-dev@lists.ozlabs.org
Errors-To: linuxppc-dev-bounces+linuxppc-dev=archiver.kernel.org@lists.ozlabs.org
Sender: "Linuxppc-dev"
 <linuxppc-dev-bounces+linuxppc-dev=archiver.kernel.org@lists.ozlabs.org>


--a8Wt8u1KmwUX3Y2C
Content-Type: text/plain; charset=us-ascii
Content-Disposition: inline

Hi Michal,

I love your patch! Perhaps something to improve:

[auto build test WARNING on linus/master]
[also build test WARNING on v5.0-rc4 next-20190212]
[if your patch is applied to the wrong git tree, please drop us a note to help improve the system]

url:    https://github.com/0day-ci/linux/commits/Michal-Hocko/x86-numa-always-initialize-all-possible-nodes/20190213-071628
config: x86_64-kexec (attached as .config)
compiler: gcc-7 (Debian 7.3.0-1) 7.3.0
reproduce:
        # save the attached .config to linux build tree
        make ARCH=x86_64 

All warnings (new ones prefixed by >>):

   In file included from include/linux/gfp.h:6:0,
                    from include/linux/mm.h:10,
                    from mm/page_alloc.c:18:
   mm/page_alloc.c: In function 'build_zonelists':
   mm/page_alloc.c:5423:31: error: 'z' undeclared (first use in this function)
     for_each_zone_zonelist(zone, z, &pgdat->node_zonelists[ZONELIST_FALLBACK], MAX_NR_ZONES-1)
                                  ^
   include/linux/mmzone.h:1036:7: note: in definition of macro 'for_each_zone_zonelist_nodemask'
     for (z = first_zones_zonelist(zlist, highidx, nodemask), zone = zonelist_zone(z); \
          ^
>> mm/page_alloc.c:5423:2: note: in expansion of macro 'for_each_zone_zonelist'
     for_each_zone_zonelist(zone, z, &pgdat->node_zonelists[ZONELIST_FALLBACK], MAX_NR_ZONES-1)
     ^~~~~~~~~~~~~~~~~~~~~~
   mm/page_alloc.c:5423:31: note: each undeclared identifier is reported only once for each function it appears in
     for_each_zone_zonelist(zone, z, &pgdat->node_zonelists[ZONELIST_FALLBACK], MAX_NR_ZONES-1)
                                  ^
   include/linux/mmzone.h:1036:7: note: in definition of macro 'for_each_zone_zonelist_nodemask'
     for (z = first_zones_zonelist(zlist, highidx, nodemask), zone = zonelist_zone(z); \
          ^
>> mm/page_alloc.c:5423:2: note: in expansion of macro 'for_each_zone_zonelist'
     for_each_zone_zonelist(zone, z, &pgdat->node_zonelists[ZONELIST_FALLBACK], MAX_NR_ZONES-1)
     ^~~~~~~~~~~~~~~~~~~~~~
   mm/page_alloc.c:5423:25: error: 'zone' undeclared (first use in this function)
     for_each_zone_zonelist(zone, z, &pgdat->node_zonelists[ZONELIST_FALLBACK], MAX_NR_ZONES-1)
                            ^
   include/linux/mmzone.h:1036:59: note: in definition of macro 'for_each_zone_zonelist_nodemask'
     for (z = first_zones_zonelist(zlist, highidx, nodemask), zone = zonelist_zone(z); \
                                                              ^~~~
>> mm/page_alloc.c:5423:2: note: in expansion of macro 'for_each_zone_zonelist'
     for_each_zone_zonelist(zone, z, &pgdat->node_zonelists[ZONELIST_FALLBACK], MAX_NR_ZONES-1)
     ^~~~~~~~~~~~~~~~~~~~~~
   include/linux/mmzone.h:1036:57: warning: left-hand operand of comma expression has no effect [-Wunused-value]
     for (z = first_zones_zonelist(zlist, highidx, nodemask), zone = zonelist_zone(z); \
                                                            ^
>> include/linux/mmzone.h:1058:2: note: in expansion of macro 'for_each_zone_zonelist_nodemask'
     for_each_zone_zonelist_nodemask(zone, z, zlist, highidx, NULL)
     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
>> mm/page_alloc.c:5423:2: note: in expansion of macro 'for_each_zone_zonelist'
     for_each_zone_zonelist(zone, z, &pgdat->node_zonelists[ZONELIST_FALLBACK], MAX_NR_ZONES-1)
     ^~~~~~~~~~~~~~~~~~~~~~
   include/linux/mmzone.h:1038:50: warning: left-hand operand of comma expression has no effect [-Wunused-value]
      z = next_zones_zonelist(++z, highidx, nodemask), \
                                                     ^
>> include/linux/mmzone.h:1058:2: note: in expansion of macro 'for_each_zone_zonelist_nodemask'
     for_each_zone_zonelist_nodemask(zone, z, zlist, highidx, NULL)
     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
>> mm/page_alloc.c:5423:2: note: in expansion of macro 'for_each_zone_zonelist'
     for_each_zone_zonelist(zone, z, &pgdat->node_zonelists[ZONELIST_FALLBACK], MAX_NR_ZONES-1)
     ^~~~~~~~~~~~~~~~~~~~~~

vim +/for_each_zone_zonelist +5423 mm/page_alloc.c

  5382	
  5383	/*
  5384	 * Build zonelists ordered by zone and nodes within zones.
  5385	 * This results in conserving DMA zone[s] until all Normal memory is
  5386	 * exhausted, but results in overflowing to remote node while memory
  5387	 * may still exist in local DMA zone.
  5388	 */
  5389	
  5390	static void build_zonelists(pg_data_t *pgdat)
  5391	{
  5392		static int node_order[MAX_NUMNODES];
  5393		int node, load, nr_nodes = 0;
  5394		nodemask_t used_mask;
  5395		int local_node, prev_node;
  5396	
  5397		/* NUMA-aware ordering of nodes */
  5398		local_node = pgdat->node_id;
  5399		load = nr_online_nodes;
  5400		prev_node = local_node;
  5401		nodes_clear(used_mask);
  5402	
  5403		memset(node_order, 0, sizeof(node_order));
  5404		while ((node = find_next_best_node(local_node, &used_mask)) >= 0) {
  5405			/*
  5406			 * We don't want to pressure a particular node.
  5407			 * So adding penalty to the first node in same
  5408			 * distance group to make it round-robin.
  5409			 */
  5410			if (node_distance(local_node, node) !=
  5411			    node_distance(local_node, prev_node))
  5412				node_load[node] = load;
  5413	
  5414			node_order[nr_nodes++] = node;
  5415			prev_node = node;
  5416			load--;
  5417		}
  5418	
  5419		build_zonelists_in_node_order(pgdat, node_order, nr_nodes);
  5420		build_thisnode_zonelists(pgdat);
  5421	
  5422		pr_info("node[%d] zonelist: ", pgdat->node_id);
> 5423		for_each_zone_zonelist(zone, z, &pgdat->node_zonelists[ZONELIST_FALLBACK], MAX_NR_ZONES-1)
  5424			pr_cont("%d:%s ", zone_to_nid(zone), zone->name);
  5425		pr_cont("\n");
  5426	}
  5427	

---
0-DAY kernel test infrastructure                Open Source Technology Center
https://lists.01.org/pipermail/kbuild-all                   Intel Corporation

--a8Wt8u1KmwUX3Y2C
Content-Type: application/gzip
Content-Disposition: attachment; filename=".config.gz"
Content-Transfer-Encoding: base64
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--a8Wt8u1KmwUX3Y2C--