Return-Path: X-Original-To: oracle-l@orafaq.com Delivered-To: oracle-l@orafaq.com Received: from smtp-aa.freelists.org (smtp-aa.freelists.org [23.23.80.81]) by malta2546.startdedicated.com (Postfix) with ESMTPS id 14495100315764 for ; Sun, 10 Oct 2021 19:59:22 +0200 (CEST) Received: from turing.freelists.org (ip-10-0-0-164.ec2.internal [10.0.0.164]) (using TLSv1.3 with cipher TLS_AES_256_GCM_SHA384 (256/256 bits) key-exchange X25519 server-signature RSA-PSS (2048 bits)) (No client certificate requested) by smtp-aa.freelists.org (Avenir Technologies Mail Multiplex) with ESMTPS id 8498E4090A; Sun, 10 Oct 2021 17:59:20 +0000 (UTC) Received: from localhost (localhost [127.0.0.1]) by turing.freelists.org (Postfix) with ESMTP id 6C2A03F7B9; Sun, 10 Oct 2021 17:59:20 +0000 (UTC) DKIM-Signature: v=1; a=rsa-sha256; c=simple/simple; d=freelists.org; s=turing; t=1633888760; bh=mAFsXtI75Rk8T12Tg4g9A6QlLQ7nKwWxBZt6Xl0cCik=; h=From:Sender:Sender:From; b=KnsX2CEzT+fFk23ljDqSdf5Vo+eJglEDy25x/zWxzfFkbqaa2ZBH4ycrbtoCz0MI2 8XmTvtFPDPJ4hod/VjFvhHjs7x28/TUscaE6kdlT+KAbLvoYirHUHBT8MH/T+r0fN3 uZBch06JoKfxpUxZf1hd4/39y76fyNIUEfnmeFLQ= X-Virus-Scanned: by FreeLists at turing.freelists.org Received: from turing.freelists.org ([127.0.0.1]) by localhost (turing.freelists.org [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id t7xGu2xLkh_Z; Sun, 10 Oct 2021 17:59:20 +0000 (UTC) Received: from turing.freelists.org (localhost [127.0.0.1]) by turing.freelists.org (Postfix) with ESMTP id 5FAE93F7BC; Sun, 10 Oct 2021 17:59:17 +0000 (UTC) DKIM-Signature: v=1; a=rsa-sha256; c=simple/simple; d=freelists.org; s=turing; t=1633888758; bh=mAFsXtI75Rk8T12Tg4g9A6QlLQ7nKwWxBZt6Xl0cCik=; h=From:Sender:Sender:From; b=bYaLiHuauQFiYNA4TKpbMVeSyUWjZSZ0AZ8ix/Qt71zO3FvB9P/GXiyBq4pnI+2PA boqvCxqDLzmdUDnx9SGE7yrH8ah7xI3iTTUgKYDLSM0DABukztv4DWjaDRAC5xwVnH ZZN8j1sLKBrqEfK9G+60WpsM8xzmynJjtMiehHDQ= Received: with ECARTIS (v1.0.0; list oracle-l); Sun, 10 Oct 2021 17:59:15 +0000 (UTC) Received: from localhost (localhost [127.0.0.1]) by turing.freelists.org (Postfix) with ESMTP id B38E93F7B9 for ; Sun, 10 Oct 2021 17:59:15 +0000 (UTC) Authentication-Results: turing.freelists.org; dkim=pass (2048-bit key; unprotected) header.d=gmail.com header.i=@gmail.com header.a=rsa-sha256 header.s=20210112 header.b=VNtTsvdS; dkim-atps=neutral Received: from turing.freelists.org ([127.0.0.1]) by localhost (turing.freelists.org [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id ZHHSHDv1Wg9R for ; Sun, 10 Oct 2021 17:59:15 +0000 (UTC) Received: from mail-yb1-f179.google.com (mail-yb1-f179.google.com [209.85.219.179]) (using TLSv1.3 with cipher TLS_AES_128_GCM_SHA256 (128/128 bits) key-exchange X25519 server-signature RSA-PSS (2048 bits) server-digest SHA256) (No client certificate requested) by turing.freelists.org (Postfix) with ESMTPS id 9CB3F3F5F7 for ; Sun, 10 Oct 2021 17:59:15 +0000 (UTC) Received: by mail-yb1-f179.google.com with SMTP id s64so33466591yba.11 for ; Sun, 10 Oct 2021 10:59:15 -0700 (PDT) X-Google-DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=1e100.net; s=20210112; h=x-gm-message-state:mime-version:references:in-reply-to:from:date :message-id:subject:to:cc; bh=uGOPAXPSk95Ow8Dc8aywKRYDCqJQ4uud6ee6mdr1/PQ=; b=2yKbstzpsYaU+Qpwg8wS8vn2pbbQkg49I2MzzOC8ghooLGUGh3cXA6B60e9XPN3JPT y7rwSfI3zOvjg4BhL1tOp60eqFTWqqJi/P0BY+kCupeYFYxQo2Itwt6hjEptTUT0y75E KjYk7rguQpVPm+5cyz4Ps05uwsveKjUrZvwVeqwFpmX01QGnefhEUXYMPEvyjswucD5u brXd1TJybpL7lA1UIJMUlNEebvUUKOml/CeWcqm9sqN4TySV1B4NGNKJFEDassUIvizK nkOJfJUWCUMarkountSPJdbYtt173oqtOzGTqoEaB22QCNhF1JE6pHAEQ62Hvo1C4sEQ f8Uw== X-Gm-Message-State: AOAM533nkIbo20KwcNnSAmF5CSUyxFUi2gdCfp131NhaU6DQRzmMeQp8 srkvVFQNwloo2RZIvg3AKmmva8aMSXo9MjOwRwVqXvon8S4= X-Google-Smtp-Source: ABdhPJxJuUIlbCOZro5X+dp4bIivD0vEb2E/uwL3fPyEWBWmRsYtaC2hVHxEJl/2QgIFOBD1FwEnx3Az8lxw6GfIesw= X-Received: by 2002:a25:3817:: with SMTP id f23mr16587961yba.436.1633888754980; Sun, 10 Oct 2021 10:59:14 -0700 (PDT) MIME-Version: 1.0 References: In-Reply-To: From: Lok P Date: Sun, 10 Oct 2021 23:29:03 +0530 Message-ID: Subject: Re: question on table access by index rowid batched To: Pap Cc: Jonathan Lewis , Oracle L Content-Type: multipart/alternative; boundary="000000000000d7da6c05ce035eff" X-archive-position: 81109 X-ecartis-version: Ecartis v1.0.0 Sender: oracle-l-bounce@freelists.org Errors-to: oracle-l-bounce@freelists.org X-original-sender: loknath.73@gmail.com Precedence: normal Reply-To: loknath.73@gmail.com List-Help: List-Unsubscribe: List-software: Ecartis version 1.0.0 List-Id: oracle-l X-List-ID: oracle-l List-Subscribe: List-Owner: List-post: List-Archive: X-list: oracle-l --000000000000d7da6c05ce035eff Content-Type: text/plain; charset="UTF-8" I think you are correct. As Jonathan explained, the issue here is just because of the extra work added by the statistics collector operation which does the blocking/buffering operation to decide future Joins. But yes ~131 seconds of blocking is too much for any first_rows/oltp/search query to wait for. And as you pointed out in one of the cases the same table access by index rowid operation took 5GB and other was less . And to which Jonathan highlighted, the difference in data pattern made that thing happen(which inturn was because of the statistics collector), looks interesting. I have never thought of that. We also have few of our OLTP environments on 19C but there we have optimizer_adaptive_plans itself set as false and we were planning to enable it based on certain inputs from other team members. Curious to know if others experienced such issues with first_rows type of queries with adaptive plans enabled and we should stop enabling it? On Sat, Oct 9, 2021 at 9:50 PM Pap wrote: > Thank you Jonathan. > > There is a difference of ~350+ seconds between the run time of both the > plans and out of this, ~131 seconds is contributed by the statistics > collector which does the additional mathematics/counting to opt for the > best path at that moment (must be based on the runtime/actual cardinality > information). This query was actually a search query and running with > first_rows hint and customer expecting to see the result as first ~50 odd > rows asap on the screen but with the optimizer_adaptive_reporting_only > 'false' it was using another set of mathematics(or as you mentioned > multipasses) in this query adding significant overhead for this quick > query. So is it recommended to have this parameter set as 'true' mainly in > the oltp kind of environment ? Or should totally turn the key driver i.e. > optimizer_adpative_plan as false? > > Note -- Just to note, after the upgrade , I think the infra team just kept > it all default i.e. optimizer_adaptive_plan- true, > optimizer_adaptive_reporting_only- false, optimizer_adaptive_statistics- > false. So wondering if it's advisable/ and safe to change few to non > default? > > As you rightly explained, there seems to be no role of rowid batching in > this performance issue. Again, not much experience in reading > complex execution paths, but from the path initially I was interpreting, it > as both plans are exactly the same , with just the difference in 'rowid > batching operation. But from your explanation, I see I was completely > wrong. Now, I can see in the good plan case it has read ~28million at step > ~46 for index TP_PK but in the bad plan case it is not noted in the sql > monitor. but conversely , ~5GB data being read in the bad plan, at > step-59 with ~661k read requests and it resulted in ~770k rows there. But > in case of a good plan those bytes read and number of read requests are not > noted. So does this point to the fact that the statistics collector is > really playing a role in the order in which data results out from one > operation/step to another? > > > On Sat, Oct 9, 2021 at 4:49 PM Jonathan Lewis > wrote: > >> >> Remember I was talking POSSIBILITIES in my previous post, not certainties. >> >> With the extra information you have now supplied I have a better >> hypothesis, based on the fact that you have adaptive_plans_enabled (which I >> should have realised in the first place), and that the plans you've >> supplied are different in exactly the TYPE of reason I suggested, but not >> for the exact reason. My basic hypothesis now is that when you enabled >> adaptive plans but set it to reporting only Oracle will always include the >> statistics collector operations, but it will not use them (i.e. not >> counting etc,) to make a decision about whether to take a hash join or a >> nested loop join. It will simply generate a path based on its first pass >> calculations. >> >> (You could check this with a suitable set of examples and testing with >> (a) adaptive plans enable (b) adaptive plans enabled but reporting only (c) >> adaptive plans disabled. You'd need to set up 4 possibilities: nlj >> changing to hj due to adaptive plans, hj changing to nlj due to adaptive >> plans, nlj not changing, hj not changing). >> >> So Looking at your SQL Monitor reports - lines 41 and 42 as a starting >> point: >> >> WIth reporting only = TRUE >> >> ============================================================================================================================================================================== >> | Id | Operation | >> Name | Rows | Cost | Time | Start | Execs | Rows >> | Read | Read | Mem | >> | | | >> | (Estim) | | Active(s) | Active | | (Actual) >> | Reqs | Bytes | (Max) | >> >> =============================================================================================================================================================================== >> | 41 | INDEX RANGE SCAN | TCX_PK >> | 1 | 2 | 279 | +2 | 2M | >> 2M | | | . | >> | 42 | INDEX RANGE SCAN | TCX_PK >> | 1 | 2 | | | | >> | | | . | >> >> With reporting only = FALSE >> >> =============================================================================================================================================================================================== >> | Id | Operation | >> Name | Rows | Cost | Time | Start | Execs | Rows >> | Read | Read | Write | Write | Mem | >> | | | >> | (Estim) | | Active(s) | Active | | (Actual) >> | Reqs | Bytes | Reqs | Bytes | (Max) | >> >> =============================================================================================================================================================================================== >> | 41 | INDEX RANGE SCAN | TCX_PK >> | 1 | 2 | | | | >> | | | | | . | >> | 42 | INDEX RANGE SCAN | TCX_PK >> | 1 | 2 | 1 | +131 | 1 | >> 976K | | | | | . | >> >> These two lines are the options available as a result of a statistics >> collector further up the plan, and one plan takes operation 41, the other >> takes operation 42 >> >> Putting them into context (adding in some parent and sibling rows) >> >> Reporting only = true ... plan based on estimates >> >> ============================================================================================================================================================================== >> | Id | Operation | >> Name | Rows | Cost | Time | Start | Execs | Rows >> | Read | Read | Mem | >> | | | >> | (Estim) | | Active(s) | Active | | (Actual) >> | Reqs | Bytes | (Max) | >> >> =============================================================================================================================================================================== >> | 7 | NESTED LOOPS OUTER | >> | 1 | 3M | 279 | +2 | 1 | 2M >> | | | . | | | >> | 8 | HASH JOIN OUTER | >> | 1 | 3M | 279 | +2 | 1 | 2M >> | | | . | >> | 9 | NESTED LOOPS OUTER | >> | 1 | 3M | 279 | +2 | 1 | 2M >> | | | . | >> | 10 | STATISTICS COLLECTOR | >> | | | 279 | +2 | 1 | 2M >> | | | . | >> | 11 | NESTED LOOPS OUTER | >> | 1 | 3M | 279 | +2 | 1 | 2M >> | | | . | >> >> ... >> | 41 | INDEX RANGE SCAN | TCX_PK >> | 1 | 2 | 279 | +2 | 2M | >> 2M | | | . | >> | 42 | INDEX RANGE SCAN | TCX_PK >> | 1 | 2 | | | | >> | | | . | >> | 43 | TABLE ACCESS BY INDEX ROWID | TC >> | 1 | 2 | 279 | +2 | 2M | >> 2M | 16037 | 125MB | . | | | >> >> >> Reporting only = false ... plan adapts to counting >> (OPTERATION 10 dictates a HASH JOIN where the estimated stats suggested >> NLJ) >> >> =============================================================================================================================================================================================== >> | Id | Operation | >> Name | Rows | Cost | Time | Start | Execs | Rows >> | Read | Read | Write | Write | Mem | >> | | | >> | (Estim) | | Active(s) | Active | | (Actual) >> | Reqs | Bytes | Reqs | Bytes | (Max) | >> >> =============================================================================================================================================================================================== >> | 7 | NESTED LOOPS OUTER | >> | 1 | 3M | 27 | +131 | 1 | 2M >> | | | | | . | >> | 8 | HASH JOIN OUTER | >> | 1 | 3M | 155 | +3 | 1 | 2M >> | 3035 | 1GB | 3035 | 1GB | 309MB | >> | 9 | NESTED LOOPS OUTER | >> | 1 | 3M | 129 | +3 | 1 | 2M >> | | | | | . | >> | 10 | STATISTICS COLLECTOR | >> | | | 129 | +3 | 1 | 2M >> | | | | | . | >> | 11 | NESTED LOOPS OUTER | >> | 1 | 3M | 129 | +3 | 1 | 2M >> | | | | | . | >> ... >> | 41 | INDEX RANGE SCAN | TCX_PK >> | 1 | 2 | | | | >> | | | | | . | >> | 42 | INDEX RANGE SCAN | TCX_PK >> | 1 | 2 | 1 | +131 | 1 | >> 976K | | | | | . | >> | 43 | TABLE ACCESS BY INDEX ROWID | TC >> | 1 | 2 | 27 | +131 | 2M | >> 2M | 21549 | 168MB | | | . | >> >> >> As you can see, the ability to switch plans makes a big difference to the >> amount of time Oracle spends working before it starts executing step 7 >> (start time = +2 seconds vs. +131 seconds). >> >> This one extract from the plans doesn't answer the question about why >> "table access by index rowid batched" has appeared; nor does it explain the >> total difference between the two executions because you also need to look >> at the statistics collector at operation 6 and the impact that has on which >> of operation 45/46 and 47/48 get chosen. The other point that then comes up >> is that the order in which data appears from a hash join is (almost >> certainly) different from the order it appears from a nested loop join - >> which means that when you use the result of the join to probe other tables >> by index the order of the driving data from one join may be roughly in line >> with the indexes and data from the next table(s) in the join and benefit >> from a lot of "self-induced" caching, while the other join might produce >> data in what is effectively a randomised order resulting in "self-flushing" >> and more random reads - and that might explain what happens at operations >> 60/61 >> >> What my observations suggest is a good argument for why you had such a >> difference in performance, and that it had nothing to do with the batching >> or not of the table access by rowid. >> >> I may write this up in more detail as a blog some day, but I don't have >> time right now. >> >> Regards >> Jonathan Lewis >> >> >> >> >> >> On Fri, 8 Oct 2021 at 18:34, Pap wrote: >> >>> It's fluctuating. I am now not able to reproduce the scenario for that >>> same small query for which I had posted here just before. And you are >>> correct , I was luckily having sql monitors saved. I am attaching those >>> here. If you see that, the main query was showing those rowid batched >>> operations when we have the optimizer_adaptive_reporting_only set as >>> default/false and was taking a long time to finish and also the first few >>> rows were also taking longer to get produced out of the query. But the >>> sample small query which i had posted a cursor plan for was just showing >>> the opposite behaviour. That is going for a rowid batched path when >>> optimizer_adaptive_reporting_only sets as true. >>> >>> However, now I am seeing that same small query in both the cases >>> (irrespective of value of optimizer_adaptive_reporting_only) going for >>> 'rowid batched' execution path. Not sure if it's just stats or >>> anything else influencing and I am seeing different things behaviour. Just >>> to note we have 'optimizer_adaptive_plans' set to true , >>> 'optimizer_adaptive_statistics' set to false. The only change we made was >>> moving ' optimizer_adaptive_reporting_only' from false to true. >>> >>> And Jonathan when you said the optimizer_adaptive_reporting_only = true >>> will introduce 'statistics collector' operation, but if you see the >>> attached sql monitor for the main query, i am seeing 'statistics collector' >>> even when optimizer_adaptive_reporting_only is = false. Is that expected >>> behaviour? >>> >>> >>> >> >> >> --000000000000d7da6c05ce035eff Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: base64 PGRpdiBkaXI9Imx0ciI+SSB0aGluayB5b3UgYXJlIGNvcnJlY3QuIEFzIEpvbmF0aGFuIGV4cGxh aW5lZCwgdGhlIGlzc3VlIGhlcmUgaXMganVzdCBiZWNhdXNlIG9mIHRoZSBleHRyYSB3b3JrIGFk ZGVkIGJ5IHRoZSBzdGF0aXN0aWNzIGNvbGxlY3RvciBvcGVyYXRpb24gd2hpY2ggZG9lcyB0aGUg YmxvY2tpbmcvYnVmZmVyaW5nIG9wZXJhdGlvbiB0b8KgZGVjaWRlIGZ1dHVyZcKgSm9pbnMuIEJ1 dCB5ZXMgfjEzMSBzZWNvbmRzIG9mIGJsb2NraW5nIGlzIHRvbyBtdWNoIGZvciBhbnkgZmlyc3Rf cm93cy9vbHRwL3NlYXJjaCBxdWVyeSB0byB3YWl0IGZvci4gQW5kIGFzIHlvdSBwb2ludGVkIG91 dCBpbiBvbmUgb2YgdGhlIGNhc2VzIHRoZSBzYW1lIHRhYmxlIGFjY2VzcyBieSBpbmRleCByb3dp ZCBvcGVyYXRpb24gdG9vayA1R0IgYW5kIG90aGVywqB3YXMgbGVzcyAuIEFuZCB0byB3aGljaCBK b25hdGhhbiBoaWdobGlnaHRlZCwgdGhlIGRpZmZlcmVuY2UgaW4gZGF0YSBwYXR0ZXJuIG1hZGUg dGhhdCB0aGluZyBoYXBwZW4od2hpY2ggaW50dXJuIHdhcyBiZWNhdXNlIG9mIHRoZSBzdGF0aXN0 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