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 B10B810031C85B for ; Sun, 10 Oct 2021 21:44:58 +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 E11AF40978; Sun, 10 Oct 2021 19:44:57 +0000 (UTC) Received: from localhost (localhost [127.0.0.1]) by turing.freelists.org (Postfix) with ESMTP id BA9613F7B9; Sun, 10 Oct 2021 19:44:57 +0000 (UTC) DKIM-Signature: v=1; a=rsa-sha256; c=simple/simple; d=freelists.org; s=turing; t=1633895097; bh=RwGzHEKUUZQLFc1H/TIfcYs859q+MRPOahnMNZ+zBkA=; h=From:Sender:Sender:From; b=IvAb8ZYQNuVWLy5DPYLbcDn1KqLVu3vSj3S67XrcwELH9TgnHF7C537Nx+Bp0oNhc X4GZeyIyKtXsiL0N9K+8MEpiS6UZ2cD6VhmpdxAD20VduWHofI/S87wnLiYUvi7DWm lgJVtWVncO3ftuOHefWS8DxRRwu5kIWO6NPzGdOw= 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 HSKTA1zHwDb6; Sun, 10 Oct 2021 19:44:57 +0000 (UTC) Received: from turing.freelists.org (localhost [127.0.0.1]) by turing.freelists.org (Postfix) with ESMTP id 046B93F7BC; Sun, 10 Oct 2021 19:44:52 +0000 (UTC) DKIM-Signature: v=1; a=rsa-sha256; c=simple/simple; d=freelists.org; s=turing; t=1633895094; bh=RwGzHEKUUZQLFc1H/TIfcYs859q+MRPOahnMNZ+zBkA=; h=From:Sender:Sender:From; b=NxRGHVrz+36PHQEJ4X/YLumXfkI13ZshS0VlqOFA5cDB1XVPho3HOZVxnQlZvFgsf OMb2LmR9/ARxfJLD5pgq+8QIjD1RyAAtgIdv5a4lhImoX4Ji83rBx/N3HBJyiQPHdx ARR4AaR+cDYey0ZVI0uTwb71X+cY+SR6L1QkuCG0= Received: with ECARTIS (v1.0.0; list oracle-l); Sun, 10 Oct 2021 19:44:50 +0000 (UTC) Received: from localhost (localhost [127.0.0.1]) by turing.freelists.org (Postfix) with ESMTP id 3C3A13F7B9 for ; Sun, 10 Oct 2021 19:44:50 +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=f2kunZGs; 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 3GrRO0BHoSGr for ; Sun, 10 Oct 2021 19:44:50 +0000 (UTC) Received: from mail-vs1-f49.google.com (mail-vs1-f49.google.com [209.85.217.49]) (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 1BFD63F5F7 for ; Sun, 10 Oct 2021 19:44:50 +0000 (UTC) Received: by mail-vs1-f49.google.com with SMTP id y28so16558953vsd.3 for ; Sun, 10 Oct 2021 12:44:50 -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=ntRPPf+jQJpuMAR9bInpa5erbso3W3tnrVHc+e91pyo=; b=vbjBeGpf9gpNzWsGcw4P2meh/u07NAX/FPk1Ixd1FChs3wEPWmKCzCEn7165+6vFbu 0HbUjEmdq5Q6kBfucHQ3tOa6GebbAFOkCdMyAa0bMCXk0GocSy+QwgMxVNYQZgsVyKXh Mnh07JXAj1ohrQKuQkQNJ6nx613Abt14tsGzPaQicgRgbF5GEYE21+43BAkpJM9QzmNs JD/Q5GWVeScFFt5Ehzk39hMUMJE7P6syeiGUkFBvTazz/etp/8DnEXFU2u1VYulMdjO+ 2DXBhbtI6qYL0qfd1053dQd1EOYAS8yNrurrlK5Ey4DI9+bXzkgJ373auKMAZW6y8GVq h5og== X-Gm-Message-State: AOAM531B7U6qxGZ6QCg4crmkoIDIdSohKJcpF1jN0dNOQGMJKEsaY/5X DGoVjO/OkeZa/1BBmNmqP0Ry5iBdJ8KQb/zOkXZVlHqllWo= X-Google-Smtp-Source: ABdhPJz3iaHkMi1/E8Mp2zlIZjmUotSLHhBS2YSy6M4ymI2A6PGcOHhwqFGcT8/ptobL1J6rRDIPXmb3m+BpLml2IdE= X-Received: by 2002:a67:d48a:: with SMTP id g10mr20148117vsj.3.1633895089593; Sun, 10 Oct 2021 12:44:49 -0700 (PDT) MIME-Version: 1.0 References: In-Reply-To: From: Pap Date: Mon, 11 Oct 2021 01:14:37 +0530 Message-ID: Subject: Re: question on table access by index rowid batched To: Jonathan Lewis Cc: Oracle L Content-Type: multipart/alternative; boundary="0000000000006a601505ce04d868" X-archive-position: 81112 X-ecartis-version: Ecartis v1.0.0 Sender: oracle-l-bounce@freelists.org Errors-to: oracle-l-bounce@freelists.org X-original-sender: oracle.developer35@gmail.com Precedence: normal Reply-To: oracle.developer35@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 --0000000000006a601505ce04d868 Content-Type: text/plain; charset="UTF-8" Thank you Jonathan. Do you mean to say the plan which shows actually exactly the same if we see the first 11 steps in both cases below is not actually the case, when it's been opted in run time. Basically all of the steps 4,5,8,9 are not opted by both of the cases. The "nested loops outer" at step-5 and step-9 are actually opted in runtime while optimizer_adaptive_reporting_only = true, whereas step-8 and step-4 i.e. "hash join outer" are the ones which were followed in run time by the optimizer while we had optimizer_adaptive_reporting_only=false. But the sql monitor contains all of those four combinations just because of its adaptive plan. Is this understanding correct? And yes, it's currently using the first_rows hint. I will check with first_rows_100 hint rather than first_rows hint to see if the behaviour changes. with optimizer_adaptive_reporting_only = False ==================================================================================================================================================================================================================================== | Id | Operation | Name | Rows | Cost | Time | Start | Execs | Rows | Read | Read | Write | Write | Mem | Temp | Activity | Activity Detail | | | | | (Estim) | | Active(s) | Active | | (Actual) | Reqs | Bytes | Reqs | Bytes | (Max) | (Max) | (%) | (# samples) | ==================================================================================================================================================================================================================================== | 0 | SELECT STATEMENT | | | | 512 | +157 | 1 | 2M | | | | | . | . | | | | 1 | FILTER | | | | 512 | +157 | 1 | 2M | | | | | . | . | | | | 2 | NESTED LOOPS OUTER | | 1 | 3M | 512 | +157 | 1 | 2M | | | | | . | . | | | | 3 | NESTED LOOPS OUTER | | 1 | 3M | 512 | +157 | 1 | 2M | | | | | . | . | | | | 4 | HASH JOIN OUTER | | 1 | 3M | 538 | +131 | 1 | 2M | 3387 | 2GB | 3387 | 2GB | 450MB | 2GB | | | | 5 | NESTED LOOPS OUTER | | 1 | 3M | 27 | +131 | 1 | 2M | | | | | . | . | | | | 6 | STATISTICS COLLECTOR | | | | 27 | +131 | 1 | 2M | | | | | . | . | | | | 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 | 1GB | | | | 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 | | | | | . | . | | | optimizer_adaptive_reporting_only = true SQL Plan Monitoring Details (Plan Hash Value=250668601) ============================================================================================================================================================================================================ | Id | Operation | Name | Rows | Cost | Time | Start | Execs | Rows | Read | Read | Mem | Activity | Activity Detail | | | | | (Estim) | | Active(s) | Active | | (Actual) | Reqs | Bytes | (Max) | (%) | (# samples) | ============================================================================================================================================================================================================ | 0 | SELECT STATEMENT | | | | 279 | +2 | 1 | 2M | | | . | | | | 1 | FILTER | | | | 279 | +2 | 1 | 2M | | | . | | | | 2 | NESTED LOOPS OUTER | | 1 | 3M | 279 | +2 | 1 | 2M | | | . | | | | 3 | NESTED LOOPS OUTER | | 1 | 3M | 279 | +2 | 1 | 2M | | | . | | | | 4 | HASH JOIN OUTER | | 1 | 3M | 279 | +2 | 1 | 2M | | | . | | | | 5 | NESTED LOOPS OUTER | | 1 | 3M | 279 | +2 | 1 | 2M | | | . | | | | 6 | STATISTICS COLLECTOR | | | | 279 | +2 | 1 | 2M | | | . | | | | 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 | | | . | | | On Sun, Oct 10, 2021 at 11:44 PM Jonathan Lewis wrote: > You're a little unlucky with this query, and there's a lot in the SQL > Monitor to take in - especially since the SQL Monitor reporting has shown > you all the possible adaptations the plan might take, and that makes it > harder to interpret what actually happened. > > The key point is that when the plan is allowed to adapt there are two > places where the optimizer had a prediction of 1 row (that's operations 7 > and 11 - the lines after the Statistics Collector lines). In both cases > the run-time engine found that far too many rows were being produced (the > counting done by the statistics collector wouldn't have taken much time, it > would probably just have been buffering a few (hundred) rows before making > the decision to use a hash join). > > With optimizer_adaptive_reporting_only = true the run-time engine has just > carried on with the nested loop and as you can see from the "Time Start" > column it ha actually got the first row of its response ready in the first > two seconds. > > With optimizer_adaptive_report_only = false, the run-time engine has > switched to a hash join in both cases. So operation 11 provided 2M rows > (taking 129 seconds) to operation 8 to allow the first hash table build. > Operation 8 called operation 42 to supply the probe table, joined it then > passed the results up to the nested loop in operation 7 which took 27 > seconds to get the data from operations 43 and 44 to pass up to the hash > join at operation 4 to create the build table. Operation 4 then called > operations 47 and 49 as the second child of the nested loop - this started > at +157 seconds (which is roughly the 131 + 27 I've mentioned). > > Don't be alarmed by the TABLE ACCESS STORAGE FULL FIRST ROWS at operation > 49, it takes virtually no time (even though it happens 2M times); and a key > detail that says that is that the first active operation of the "VIEW > PUSHED PREDICATE" also happens at +156. > > The time AFTER the first 157 seconds is mostly the 661K read requests that > accumulate from that point onwards. > > ================================== > > Bottom line - in this case the adaptive feature was unlucky. The > cardinality estimates were very low, but the actual was very high, so the > run-time engine switched to a pair of hash joins. The hash joins were > unlucky and resulted in a very long latency (time to first row), but the > fact that the order that the data passed on upwards from each hash join > meant that your access to a critical table was randomised and resulted in > far more I/O, adding considerably to the run time. > > For this query you don't AT PRESENT want an adaptive plan. If this is a > controlled query then hinting /*+ no_adaptive_plan */ would be a nice > workaround. (Or adding an SQL Patch if the query text is fixed). It would > not be a good thing to change the parameter globally to address one query > that was unlucky. > > Of course there is still the question of why the cardinality estimates are > so bad, but that might be a side effect of your statement that you're > running this query with first_rows optimisation. If that is EXACTLY what > you are doing, rather than first_rows_1 or first_rows_10 (or 100, or 1000) > then you shouldn't be, and changing to one of the cost-base first_rows_N > optimisation strategies should be your first change. > > > This leads to a couple of things I've noted down as something to test or > check for my own benefit, viz: > Does adaptive optimization co-operate correctly with first_rows_N > optimisation? > Is there a way in the call do dbms_monitor to show the used execution > plan rather than the full adaptive path - it would be a lot easier to read > (and I assume there is if I check the manuals or MOS.) > > Regards > Jonathan Lewis > > > > > > > > > > On Sat, 9 Oct 2021 at 17:19, 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? >>>> >>>> >>>> >>> >>> >>> --0000000000006a601505ce04d868 Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: base64 PGRpdiBkaXI9Imx0ciI+PGJyPlRoYW5rIHlvdSBKb25hdGhhbi48YnI+RG8geW91IG1lYW4gdG8g c2F5IHRoZSBwbGFuIHdoaWNoIHNob3dzIGFjdHVhbGx5IGV4YWN0bHkgdGhlIHNhbWUgaWYgd2Ug c2VlIHRoZSBmaXJzdCAxMSBzdGVwcyBpbiBib3RoIGNhc2VzIGJlbG93IGlzIG5vdCBhY3R1YWxs eSB0aGUgY2FzZSwgd2hlbiBpdCYjMzk7cyBiZWVuIG9wdGVkIGluIHJ1biB0aW1lLiBCYXNpY2Fs bHkgYWxsIG9mIHRoZSBzdGVwcyA0LDUsOCw5IGFyZSBub3Qgb3B0ZWQgYnkgYm90aCBvZiB0aGUg Y2FzZXMuIFRoZSAmcXVvdDtuZXN0ZWQgbG9vcHMgb3V0ZXImcXVvdDsgYXQgc3RlcC01IGFuZCBz dGVwLTkgYXJlIGFjdHVhbGx5IG9wdGVkIGluIHJ1bnRpbWUgd2hpbGUgb3B0aW1pemVyX2FkYXB0 aXZlX3JlcG9ydGluZ19vbmx5ID0gdHJ1ZSwgd2hlcmVhcyBzdGVwLTggYW5kIHN0ZXAtNCBpLmUu ICZxdW90O2hhc2ggam9pbiBvdXRlciZxdW90OyBhcmUgdGhlIG9uZXMgd2hpY2ggd2VyZSBmb2xs b3dlZCBpbiBydW4gdGltZSBieSB0aGUgb3B0aW1pemVyIHdoaWxlIHdlIGhhZCBvcHRpbWl6ZXJf 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