From 0a716de966530a890c087c225d555d2c4ca2334a Mon Sep 17 00:00:00 2001 From: xufei Date: Mon, 28 Oct 2024 14:48:01 +0800 Subject: [PATCH 01/14] save work Signed-off-by: xufei --- TOC.md | 1 + media/tiflash/tiflash_mintso_v1.png | Bin 0 -> 120608 bytes media/tiflash/tiflash_mintso_v2.png | Bin 0 -> 194219 bytes tiflash/tiflash-mintso-scheduler.md | 62 ++++++++++++++++++++++++++++ 4 files changed, 63 insertions(+) create mode 100644 media/tiflash/tiflash_mintso_v1.png create mode 100644 media/tiflash/tiflash_mintso_v2.png create mode 100644 tiflash/tiflash-mintso-scheduler.md diff --git a/TOC.md b/TOC.md index 8ee73e8632c04..69486b98c1dd1 100644 --- a/TOC.md +++ b/TOC.md @@ -677,6 +677,7 @@ - [TiFlash Late Materialization](/tiflash/tiflash-late-materialization.md) - [Spill to Disk](/tiflash/tiflash-spill-disk.md) - [Data Validation](/tiflash/tiflash-data-validation.md) + - [MinTSO Scheduler](/tiflash/tiflash-mintso-scheduler.md) - [Compatibility](/tiflash/tiflash-compatibility.md) - [Pipeline Execution Model](/tiflash/tiflash-pipeline-model.md) - TiDB Distributed eXecution Framework (DXF) diff --git a/media/tiflash/tiflash_mintso_v1.png b/media/tiflash/tiflash_mintso_v1.png new file mode 100644 index 0000000000000000000000000000000000000000..964dcc6daacfe342636db3a12a2b01b1b82b6af4 GIT binary patch literal 120608 zcmeFZcT|&UyFRMpC>DfKR76T<1_c!mrG^?E3n~IC(n~~yfYeAYNmN8cnvMbjfhZ^l z2%)zCQ4pe(ARxU&h!A>!kc9N}Cd};b+xxfY>~q#Rf9^kAu9e06KJRna>$&gieqyhh zo9y0sXy>L)n|5Eic<%b9OcSQkkI7PI>Y@xohkS z{tUl&eU=}Gs@kF@Pz^^0h4W{DUp%)y{x84y>L4?riBSK=)98G(@(Cp*r~CoMq| zFxCm{FoV;yu55};9t9)%<=%h!g_OHV2Id5>I%aasT>PtSjE;HUg+slMQHpSL7cGJL z$!xP6p89Zq?LPA^P!U9W@2Oro1S_?b7)WnADuD~bY+p|c?Ns1t_|T>OIueYIx)u!o()u^?B+UTn2%9m2Q zx0@aCTj}Y&>4Kl$4*dS2A2fzKgf}~ELU3($5Wv%sfLT~=F zR;@|WMYQF?PP|mSN3Vw&#zqRqYVdMZF}x7VyR1;icsmOiM;*q z=$E$5uoO#SUS9kmiLXHR>ng+c0XbCu72SdcQbx+a!hQdQViX+fHp6}8kneZkL8)!~ zKwE|dgIV2NFM%ru+h+&7!nJ!|G6uec(jcyl9>zE7m|Op(C4l>)kw!TyoZqe~?b@=& 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|}klGo_n_}!!{^ZJ@#_t)XV3bwmb5^RU-2*BVxsI9Eq&JR(4k3URv z7YrR)Zn=Lg^E_n8K5B5m6eFQe!@gu#>@I40TWFprRv~(M1a;BDB_G6fF6Y=|G&g0m z;&lj~-)6cY=Y0rB;k&C%I|uT-WF9YGpQJ`{$N@(eex||6!(PRy^DpVd zlPBsAp>f+-UanV&gKDJzbS=+nrh7X$mmLHxs$BJWj&#P(TcpmpGltiu)+#`M|HvV) zcAk=RL~^}lIM%Pui$*Y_GLi;*!R&f6VeATW3u6Oj7wmbcp<-h5db>R{9{_cpoZ4wm zGhTi!8z~5=%lmc-7$%o!*~m@9bo+~8+D%c9$*IoD7+goC?wk5|((rZC{F=k!aENrX z0X)*7|`0EP$osqM-dgfyGDZc(4G82d~$k)yS z_v6U1;S}~vJ>Qi6@7odg+p)*UMJSY}z5R=dPMd}rDzmSYXj(og6*khx^|bQlaf1gf zVZ0-$UsBlZ%eQbT)F^#Vwa7VqnqP0I6q5HMU`4$*vJhV(SE-0B7QB&(8YA+3BG8y$T6mw@%0Ap>X;*mVJ z)Q?&A=E45e*0yFgtW4<;KL+Y$2G0}iTj0117>=S8G0N?of6zyBbtsIhivtNNvX-Sey9-shG0e|Q zCKTW?MOCqfh-)RJ1#glm1t(8h>76UgB>gQ#w@YlZQ%UH-K=?P4^M>xQEYp~AXIwa` zOj=OU!8V}o(^kfz<+-6x`J^Xh%bh}f0-ma86O+_v#H6AT&#ld>w0@5n`L4oiW-2qd zNH>NZ7J0;E*N$m8Ixq*D;XhQm4E_A)Yp!)UytW*S-Qn*;af1t(>Ea4`m4nsZCbEooY^B%vC*=zbQzKzV$tto95ZU62_3+niC1 zC**Onm_qT^Q%p1N=|+N({EFxMH#6ho1n1=mLRDhNY8#Bww)1I+Gp`Du&H5!tVCF;a zRh8v-gSH#WN2Vs|b{GE@hrX5y?!-&#b7;}IGXH`Z^Q2+bGa3BLa&elnoj@j!a6n$6E49`vt?~3r|1rF2bSPFptYE<{*J# zY7eECxQx`SOr#eDq2dReISAMp=HVrrybW`yF$R~!JkKi5>{x0e3=b2s7t_CvgD2&$ z^|iEmJ85tz&EMi$8y~l&(H9|S`N7g+e>z#bFZ%{+pcPAr4tl0q-8V-pD5eb!7ASho z_OH-!l1^jIL=Nn6pAW0P)T~$KE%*F^evKu$*I>4R4UNubwkdpoqpkFv7G%Gr9J^wn$7tT8@I1DJ!OJ!?hWhz>|FW^)$P545ay z(ecYgDQ_10L%2O|We3%qF7>~tHilN6pMTK9C4o)+Z`l~aB!eGSv{YK!MD$SmR}O_R z-Si z?Eh-Lp*euXR+RlVKj@xBZwtLTUs{G~EE_dwk2r~JbMZ8KHfub|aL%)9IhWD3=DzhC zu;QyXmIFLZnd=LZkp;}GH95CJRec+gjt;4<7-;Q&+A`j$F-nr@o%S^>9=g}bS39}Z z1v@Y>2BXdgTIkt6q|zK{hSZtMs}Faw01xIbgt;@`aP)oV!);3s(@?f1kZl)regUN; zDDiGp=aK2%4;$-643YIi?mQ${&3(A2mWy2|0@R=%q@KjEQ4JZ;+b2(M^{TvGw1BBp#K52bZg)M literal 0 HcmV?d00001 diff --git a/tiflash/tiflash-mintso-scheduler.md b/tiflash/tiflash-mintso-scheduler.md new file mode 100644 index 0000000000000..7ea6dcfb5a298 --- /dev/null +++ b/tiflash/tiflash-mintso-scheduler.md @@ -0,0 +1,62 @@ +--- +title: TiFlash MinTSO Scheduler +summary: Understand the implementation principles of the TiFlash MinTSO Scheduler. +--- + +# TiFlash MinTSO Scheduler + +The TiFlash MinTSO Scheduler is a distributed scheduler for [MPP](/glossary.md#mpp) Tasks in TiFlash. This article introduces the implementation principles of the TiFlash MinTSO Scheduler. + +## Background + +When processing MPP queries, TiDB splits the query into one or more MPP Tasks and sends these MPP Tasks to the corresponding TiFlash nodes for compilation and execution. Before TiFlash used the [pipeline execution model](/tiflash/tiflash-pipeline-model.md), TiFlash needed to use several threads to execute each MPP Task, with the specific number of threads depending on the complexity of the MPP Task and the concurrency parameters set in TiFlash. + +In high concurrency scenarios, TiFlash nodes receive multiple MPP Tasks simultaneously. If the execution of MPP Tasks is not controlled, the number of threads TiFlash needs to request from the system will increase linearly with the number of MPP Tasks. Too many threads will affect TiFlash's execution efficiency, and since the operating system itself supports a limited number of threads, TiFlash will encounter errors when it requests more threads than the operating system can provide. + +To improve TiFlash's processing capability in high concurrency scenarios, an MPP Task scheduler needs to be introduced in TiFlash. + +## Implementation Principles + +As mentioned in the background, the initial purpose of introducing the TiFlash Task Scheduler is to control the number of threads used during MPP query execution. A simple scheduling strategy is to specify the maximum number of threads TiFlash can request. For each MPP Task, the scheduler decides whether the MPP Task can be scheduled based on the current number of threads used by the system and the expected number of threads the MPP Task will use: + +![TiFlash MinTSO Scheduler v1](/media/tiflash/tiflash_mintso_v1.png) + +Although the above scheduling strategy can effectively control the number of system threads, MPP Tasks are not the smallest independent execution units, and there are dependencies between different MPP Tasks: + +```sql +EXPLAIN SELECT count(*) FROM t0 a JOIN t0 b ON a.id = b.id; +``` + +``` ++--------------------------------------------+----------+--------------+---------------+----------------------------------------------------------+ +| id | estRows | task | access object | operator info | ++--------------------------------------------+----------+--------------+---------------+----------------------------------------------------------+ +| HashAgg_44 | 1.00 | root | | funcs:count(Column#8)->Column#7 | +| └─TableReader_46 | 1.00 | root | | MppVersion: 2, data:ExchangeSender_45 | +| └─ExchangeSender_45 | 1.00 | mpp[tiflash] | | ExchangeType: PassThrough | +| └─HashAgg_13 | 1.00 | mpp[tiflash] | | funcs:count(1)->Column#8 | +| └─Projection_43 | 12487.50 | mpp[tiflash] | | test.t0.id | +| └─HashJoin_42 | 12487.50 | mpp[tiflash] | | inner join, equal:[eq(test.t0.id, test.t0.id)] | +| ├─ExchangeReceiver_22(Build) | 9990.00 | mpp[tiflash] | | | +| │ └─ExchangeSender_21 | 9990.00 | mpp[tiflash] | | ExchangeType: Broadcast, Compression: FAST | +| │ └─Selection_20 | 9990.00 | mpp[tiflash] | | not(isnull(test.t0.id)) | +| │ └─TableFullScan_19 | 10000.00 | mpp[tiflash] | table:a | pushed down filter:empty, keep order:false, stats:pseudo | +| └─Selection_24(Probe) | 9990.00 | mpp[tiflash] | | not(isnull(test.t0.id)) | +| └─TableFullScan_23 | 10000.00 | mpp[tiflash] | table:b | pushed down filter:empty, keep order:false, stats:pseudo | ++--------------------------------------------+----------+--------------+---------------+----------------------------------------------------------+ +``` + +For example, the above query generates 2 MPP Tasks on each TiFlash node, where the MPP Task containing `ExchangeSender_45` depends on the MPP Task containing `ExchangeSender_21`. In high concurrency scenarios, if the scheduler schedules the MPP Task containing `ExchangeSender_45` for each query, the system will enter a deadlock state. + +To avoid deadlock, TiFlash introduces the following two levels of thread limits: + +* threads_soft_limit: Mainly used to limit the number of threads used by the system. For specific MPP Tasks, this limit can be broken to avoid deadlock. +* threads_hard_limit: Mainly to protect the system. Once the number of threads used by the system exceeds the hard limit, TiFlash will report an error to avoid deadlock. + +The principle of avoiding deadlock using soft limit and hard limit is: by using the soft limit to restrict the total number of threads used by all queries, resources are fully utilized while avoiding thread resource exhaustion. The hard limit ensures that in any situation, there is at least one query in the system that can break the soft limit and continue to acquire thread resources and run, thus avoiding deadlock. As long as the number of threads does not exceed the hard limit, there will always be one query in the system where all its MPP Tasks can be executed normally, thus preventing deadlock. + +The goal of the MinTSO Scheduler is to control the number of system threads while ensuring that there is always one and only one special query in the system, where all its MPP Tasks can be scheduled. The MinTSO Scheduler is a fully distributed scheduler, with each TiFlash node scheduling MPP Tasks based only on its own information. Therefore, all MinTSO Schedulers on TiFlash nodes need to identify the same "special" query. In TiDB, each query carries a read timestamp (`start_ts`), and the MinTSO Scheduler defines the "special" query as the query with the smallest `start_ts` on the current TiFlash node. Based on the principle that the global minimum is also the local minimum, the "special" query selected by all TiFlash nodes must be the same, called the MinTSO query. The scheduling process of the MinTSO Scheduler is as follows: + +![TiFlash MinTSO Scheduler v2](/media/tiflash/tiflash_mintso_v2.png) + +By introducing soft limit and hard limit, the MinTSO Scheduler effectively avoids system deadlock while controlling the number of system threads. However, in high concurrency scenarios, it is possible that most queries will have only part of their MPP Tasks scheduled. Queries with only part MPP Tasks scheduled cannot execute normally, leading to low system execution efficiency. To avoid this situation, TiFlash introduces a limit at the query level for the MinTSO Scheduler, called active_query_soft_limit. This limit requires that only up to active_query_soft_limit queries' MPP Tasks can participate in scheduling; other queries' MPP Tasks do not participate in scheduling, and only after the current queries finish can new queries participate in scheduling. This limit is only a soft limit because for the MinTSO query, all its MPP Tasks can be scheduled directly as long as the number of system threads does not exceed the hard limit. \ No newline at end of file From 51941dd0538dde6573e0a75c8d9341a6a77ab93d Mon Sep 17 00:00:00 2001 From: xufei Date: Mon, 28 Oct 2024 17:14:26 +0800 Subject: [PATCH 02/14] save work Signed-off-by: xufei --- tiflash/tiflash-mintso-scheduler.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/tiflash/tiflash-mintso-scheduler.md b/tiflash/tiflash-mintso-scheduler.md index 7ea6dcfb5a298..667b95065e3c7 100644 --- a/tiflash/tiflash-mintso-scheduler.md +++ b/tiflash/tiflash-mintso-scheduler.md @@ -50,8 +50,8 @@ For example, the above query generates 2 MPP Tasks on each TiFlash node, where t To avoid deadlock, TiFlash introduces the following two levels of thread limits: -* threads_soft_limit: Mainly used to limit the number of threads used by the system. For specific MPP Tasks, this limit can be broken to avoid deadlock. -* threads_hard_limit: Mainly to protect the system. Once the number of threads used by the system exceeds the hard limit, TiFlash will report an error to avoid deadlock. +* thread_soft_limit: Mainly used to limit the number of threads used by the system. For specific MPP Tasks, this limit can be broken to avoid deadlock. +* thread_hard_limit: Mainly to protect the system. Once the number of threads used by the system exceeds the hard limit, TiFlash will report an error to avoid deadlock. The principle of avoiding deadlock using soft limit and hard limit is: by using the soft limit to restrict the total number of threads used by all queries, resources are fully utilized while avoiding thread resource exhaustion. The hard limit ensures that in any situation, there is at least one query in the system that can break the soft limit and continue to acquire thread resources and run, thus avoiding deadlock. As long as the number of threads does not exceed the hard limit, there will always be one query in the system where all its MPP Tasks can be executed normally, thus preventing deadlock. @@ -59,4 +59,4 @@ The goal of the MinTSO Scheduler is to control the number of system threads whil ![TiFlash MinTSO Scheduler v2](/media/tiflash/tiflash_mintso_v2.png) -By introducing soft limit and hard limit, the MinTSO Scheduler effectively avoids system deadlock while controlling the number of system threads. However, in high concurrency scenarios, it is possible that most queries will have only part of their MPP Tasks scheduled. Queries with only part MPP Tasks scheduled cannot execute normally, leading to low system execution efficiency. To avoid this situation, TiFlash introduces a limit at the query level for the MinTSO Scheduler, called active_query_soft_limit. This limit requires that only up to active_query_soft_limit queries' MPP Tasks can participate in scheduling; other queries' MPP Tasks do not participate in scheduling, and only after the current queries finish can new queries participate in scheduling. This limit is only a soft limit because for the MinTSO query, all its MPP Tasks can be scheduled directly as long as the number of system threads does not exceed the hard limit. \ No newline at end of file +By introducing soft limit and hard limit, the MinTSO Scheduler effectively avoids system deadlock while controlling the number of system threads. However, in high concurrency scenarios, it is possible that most queries will have only part of their MPP Tasks scheduled. Queries with only part MPP Tasks scheduled cannot execute normally, leading to low system execution efficiency. To avoid this situation, TiFlash introduces a limit at the query level for the MinTSO Scheduler, called active_set_soft_limit. This limit requires that only up to active_set_soft_limit queries' MPP Tasks can participate in scheduling; other queries' MPP Tasks do not participate in scheduling, and only after the current queries finish can new queries participate in scheduling. This limit is only a soft limit because for the MinTSO query, all its MPP Tasks can be scheduled directly as long as the number of system threads does not exceed the hard limit. From af2ec0a3560e84bf8f74da7a397c68d7eea0e07b Mon Sep 17 00:00:00 2001 From: Lilian Lee Date: Thu, 31 Oct 2024 17:47:27 +0800 Subject: [PATCH 03/14] Update wording --- tiflash/tiflash-mintso-scheduler.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tiflash/tiflash-mintso-scheduler.md b/tiflash/tiflash-mintso-scheduler.md index 667b95065e3c7..42ca87becd88d 100644 --- a/tiflash/tiflash-mintso-scheduler.md +++ b/tiflash/tiflash-mintso-scheduler.md @@ -1,6 +1,6 @@ --- title: TiFlash MinTSO Scheduler -summary: Understand the implementation principles of the TiFlash MinTSO Scheduler. +summary: Learn the implementation principles of the TiFlash MinTSO Scheduler. --- # TiFlash MinTSO Scheduler From 69a9adc5135b63000b6418072d0c5ea7cb7eb6f1 Mon Sep 17 00:00:00 2001 From: Lilian Lee Date: Fri, 1 Nov 2024 16:29:12 +0800 Subject: [PATCH 04/14] Apply suggestions from code review --- tiflash/tiflash-mintso-scheduler.md | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/tiflash/tiflash-mintso-scheduler.md b/tiflash/tiflash-mintso-scheduler.md index 42ca87becd88d..bd82ae5bfcad3 100644 --- a/tiflash/tiflash-mintso-scheduler.md +++ b/tiflash/tiflash-mintso-scheduler.md @@ -5,23 +5,23 @@ summary: Learn the implementation principles of the TiFlash MinTSO Scheduler. # TiFlash MinTSO Scheduler -The TiFlash MinTSO Scheduler is a distributed scheduler for [MPP](/glossary.md#mpp) Tasks in TiFlash. This article introduces the implementation principles of the TiFlash MinTSO Scheduler. +The TiFlash MinTSO scheduler is a distributed scheduler for [MPP](/glossary.md#mpp) tasks in TiFlash. This document describes the implementation principles of the TiFlash MinTSO scheduler. ## Background -When processing MPP queries, TiDB splits the query into one or more MPP Tasks and sends these MPP Tasks to the corresponding TiFlash nodes for compilation and execution. Before TiFlash used the [pipeline execution model](/tiflash/tiflash-pipeline-model.md), TiFlash needed to use several threads to execute each MPP Task, with the specific number of threads depending on the complexity of the MPP Task and the concurrency parameters set in TiFlash. +When processing MPP queries, TiDB splits the query into one or more MPP tasks and sends these MPP tasks to the corresponding TiFlash nodes for compilation and execution. Before TiFlash uses the [pipeline execution model](/tiflash/tiflash-pipeline-model.md), TiFlash needs to use several threads to execute each MPP task, with the specific number of threads depending on the complexity of the MPP task and the concurrency parameters set in TiFlash. -In high concurrency scenarios, TiFlash nodes receive multiple MPP Tasks simultaneously. If the execution of MPP Tasks is not controlled, the number of threads TiFlash needs to request from the system will increase linearly with the number of MPP Tasks. Too many threads will affect TiFlash's execution efficiency, and since the operating system itself supports a limited number of threads, TiFlash will encounter errors when it requests more threads than the operating system can provide. +In high concurrency scenarios, TiFlash nodes receive multiple MPP tasks simultaneously. If the execution of MPP tasks is not controlled, the number of threads that TiFlash needs to request from the system will increase linearly along with the increasing number of MPP tasks. Too many threads will affect TiFlash's execution efficiency, and since the operating system itself supports a limited number of threads, TiFlash will encounter errors when it requests more threads than the operating system can provide. -To improve TiFlash's processing capability in high concurrency scenarios, an MPP Task scheduler needs to be introduced in TiFlash. +To improve TiFlash's processing capability in high concurrency scenarios, an MPP task scheduler needs to be introduced into TiFlash. -## Implementation Principles +## Implementation principles -As mentioned in the background, the initial purpose of introducing the TiFlash Task Scheduler is to control the number of threads used during MPP query execution. A simple scheduling strategy is to specify the maximum number of threads TiFlash can request. For each MPP Task, the scheduler decides whether the MPP Task can be scheduled based on the current number of threads used by the system and the expected number of threads the MPP Task will use: +As mentioned in the [background](#background), the initial purpose of introducing the TiFlash task scheduler is to control the number of threads used during MPP query execution. A simple scheduling strategy is to specify the maximum number of threads TiFlash can request. For each MPP task, the scheduler decides whether the MPP task can be scheduled based on the current number of threads used by the system and the expected number of threads the MPP task will use: ![TiFlash MinTSO Scheduler v1](/media/tiflash/tiflash_mintso_v1.png) -Although the above scheduling strategy can effectively control the number of system threads, MPP Tasks are not the smallest independent execution units, and there are dependencies between different MPP Tasks: +Although the preceding scheduling strategy can effectively control the number of system threads, an MPP task is not the smallest independent execution unit, and dependencies exist between different MPP tasks: ```sql EXPLAIN SELECT count(*) FROM t0 a JOIN t0 b ON a.id = b.id; From d4b69ab5fa431d46e01f34e31e9a07faf4bb9e75 Mon Sep 17 00:00:00 2001 From: lilin90 Date: Fri, 1 Nov 2024 16:35:23 +0800 Subject: [PATCH 05/14] Update capitalization --- tiflash/tiflash-mintso-scheduler.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tiflash/tiflash-mintso-scheduler.md b/tiflash/tiflash-mintso-scheduler.md index bd82ae5bfcad3..6b1ec017863ba 100644 --- a/tiflash/tiflash-mintso-scheduler.md +++ b/tiflash/tiflash-mintso-scheduler.md @@ -46,7 +46,7 @@ EXPLAIN SELECT count(*) FROM t0 a JOIN t0 b ON a.id = b.id; +--------------------------------------------+----------+--------------+---------------+----------------------------------------------------------+ ``` -For example, the above query generates 2 MPP Tasks on each TiFlash node, where the MPP Task containing `ExchangeSender_45` depends on the MPP Task containing `ExchangeSender_21`. In high concurrency scenarios, if the scheduler schedules the MPP Task containing `ExchangeSender_45` for each query, the system will enter a deadlock state. +For example, the preceding query generates 2 MPP tasks on each TiFlash node, where the MPP Task containing `ExchangeSender_45` depends on the MPP Task containing `ExchangeSender_21`. In high concurrency scenarios, if the scheduler schedules the MPP Task containing `ExchangeSender_45` for each query, the system will enter a deadlock state. To avoid deadlock, TiFlash introduces the following two levels of thread limits: From 61c2cf2145a39edcee0bc78c847df7eb6f8b8d31 Mon Sep 17 00:00:00 2001 From: Lilian Lee Date: Fri, 1 Nov 2024 16:48:08 +0800 Subject: [PATCH 06/14] Apply suggestions from code review --- tiflash/tiflash-mintso-scheduler.md | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/tiflash/tiflash-mintso-scheduler.md b/tiflash/tiflash-mintso-scheduler.md index 6b1ec017863ba..f41e1eaf89e67 100644 --- a/tiflash/tiflash-mintso-scheduler.md +++ b/tiflash/tiflash-mintso-scheduler.md @@ -50,13 +50,15 @@ For example, the preceding query generates 2 MPP tasks on each TiFlash node, whe To avoid deadlock, TiFlash introduces the following two levels of thread limits: -* thread_soft_limit: Mainly used to limit the number of threads used by the system. For specific MPP Tasks, this limit can be broken to avoid deadlock. -* thread_hard_limit: Mainly to protect the system. Once the number of threads used by the system exceeds the hard limit, TiFlash will report an error to avoid deadlock. +* thread_soft_limit: used to limit the number of threads used by the system. For specific MPP tasks, this limit can be broken to avoid deadlock. +* thread_hard_limit: used to protect the system. Once the number of threads used by the system exceeds the hard limit, TiFlash will report an error to avoid deadlock. -The principle of avoiding deadlock using soft limit and hard limit is: by using the soft limit to restrict the total number of threads used by all queries, resources are fully utilized while avoiding thread resource exhaustion. The hard limit ensures that in any situation, there is at least one query in the system that can break the soft limit and continue to acquire thread resources and run, thus avoiding deadlock. As long as the number of threads does not exceed the hard limit, there will always be one query in the system where all its MPP Tasks can be executed normally, thus preventing deadlock. +The principle of avoiding deadlock using soft limit and hard limit is as follows: by using the soft limit to restrict the total number of threads used by all queries, resources are fully utilized while avoiding thread resource exhaustion. The hard limit ensures that in any situation, there is at least one query in the system that can break the soft limit and continue to acquire thread resources and run, thus avoiding deadlock. As long as the number of threads does not exceed the hard limit, there will always be one query in the system where all its MPP tasks can be executed normally, thus preventing deadlock. -The goal of the MinTSO Scheduler is to control the number of system threads while ensuring that there is always one and only one special query in the system, where all its MPP Tasks can be scheduled. The MinTSO Scheduler is a fully distributed scheduler, with each TiFlash node scheduling MPP Tasks based only on its own information. Therefore, all MinTSO Schedulers on TiFlash nodes need to identify the same "special" query. In TiDB, each query carries a read timestamp (`start_ts`), and the MinTSO Scheduler defines the "special" query as the query with the smallest `start_ts` on the current TiFlash node. Based on the principle that the global minimum is also the local minimum, the "special" query selected by all TiFlash nodes must be the same, called the MinTSO query. The scheduling process of the MinTSO Scheduler is as follows: +The goal of the MinTSO scheduler is to control the number of system threads while ensuring that there is always one and only one special query in the system, where all its MPP tasks can be scheduled. The MinTSO Scheduler is a fully distributed scheduler, with each TiFlash node scheduling MPP tasks based only on its own information. Therefore, all MinTSO schedulers on TiFlash nodes need to identify the same "special" query. In TiDB, each query carries a read timestamp (`start_ts`), and the MinTSO scheduler defines the "special" query as the query with the smallest `start_ts` on the current TiFlash node. Based on the principle that the global minimum is also the local minimum, the "special" query selected by all TiFlash nodes must be the same, called the MinTSO query. + +The scheduling process of the MinTSO Scheduler is as follows: ![TiFlash MinTSO Scheduler v2](/media/tiflash/tiflash_mintso_v2.png) -By introducing soft limit and hard limit, the MinTSO Scheduler effectively avoids system deadlock while controlling the number of system threads. However, in high concurrency scenarios, it is possible that most queries will have only part of their MPP Tasks scheduled. Queries with only part MPP Tasks scheduled cannot execute normally, leading to low system execution efficiency. To avoid this situation, TiFlash introduces a limit at the query level for the MinTSO Scheduler, called active_set_soft_limit. This limit requires that only up to active_set_soft_limit queries' MPP Tasks can participate in scheduling; other queries' MPP Tasks do not participate in scheduling, and only after the current queries finish can new queries participate in scheduling. This limit is only a soft limit because for the MinTSO query, all its MPP Tasks can be scheduled directly as long as the number of system threads does not exceed the hard limit. +By introducing soft limit and hard limit, the MinTSO scheduler effectively avoids system deadlock while controlling the number of system threads. However, in high concurrency scenarios, it is possible that most queries will have only part of their MPP tasks scheduled. Queries with only part MPP tasks scheduled cannot execute normally, leading to low system execution efficiency. To avoid this situation, TiFlash introduces a limit at the query level for the MinTSO scheduler, called active_set_soft_limit. This limit requires that only up to active_set_soft_limit queries' MPP tasks can participate in scheduling; other queries' MPP Tasks do not participate in scheduling, and only after the current queries finish can new queries participate in scheduling. This limit is only a soft limit because for the MinTSO query, all its MPP tasks can be scheduled directly as long as the number of system threads does not exceed the hard limit. From b36d37b0791091f76b9cd9e76acc59e525c33034 Mon Sep 17 00:00:00 2001 From: lilin90 Date: Mon, 4 Nov 2024 10:18:28 +0800 Subject: [PATCH 07/14] Update wording to address comment --- tiflash/tiflash-mintso-scheduler.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tiflash/tiflash-mintso-scheduler.md b/tiflash/tiflash-mintso-scheduler.md index f41e1eaf89e67..5159ff2bb701c 100644 --- a/tiflash/tiflash-mintso-scheduler.md +++ b/tiflash/tiflash-mintso-scheduler.md @@ -46,7 +46,7 @@ EXPLAIN SELECT count(*) FROM t0 a JOIN t0 b ON a.id = b.id; +--------------------------------------------+----------+--------------+---------------+----------------------------------------------------------+ ``` -For example, the preceding query generates 2 MPP tasks on each TiFlash node, where the MPP Task containing `ExchangeSender_45` depends on the MPP Task containing `ExchangeSender_21`. In high concurrency scenarios, if the scheduler schedules the MPP Task containing `ExchangeSender_45` for each query, the system will enter a deadlock state. +For example, the preceding query generates 2 MPP tasks on each TiFlash node, where the MPP task containing the `ExchangeSender_45` executor depends on the MPP task containing the `ExchangeSender_21` executor. In high concurrency scenarios, if the scheduler schedules the MPP task containing `ExchangeSender_45` for each query, the system will enter a deadlock state. To avoid deadlock, TiFlash introduces the following two levels of thread limits: From a3f41dc734d7347bdceb7eed95cc862c9252d151 Mon Sep 17 00:00:00 2001 From: xufei Date: Mon, 4 Nov 2024 15:53:20 +0800 Subject: [PATCH 08/14] Update tiflash/tiflash-mintso-scheduler.md Co-authored-by: Grace Cai --- tiflash/tiflash-mintso-scheduler.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tiflash/tiflash-mintso-scheduler.md b/tiflash/tiflash-mintso-scheduler.md index 5159ff2bb701c..64865030ae7ac 100644 --- a/tiflash/tiflash-mintso-scheduler.md +++ b/tiflash/tiflash-mintso-scheduler.md @@ -11,7 +11,7 @@ The TiFlash MinTSO scheduler is a distributed scheduler for [MPP](/glossary.md#m When processing MPP queries, TiDB splits the query into one or more MPP tasks and sends these MPP tasks to the corresponding TiFlash nodes for compilation and execution. Before TiFlash uses the [pipeline execution model](/tiflash/tiflash-pipeline-model.md), TiFlash needs to use several threads to execute each MPP task, with the specific number of threads depending on the complexity of the MPP task and the concurrency parameters set in TiFlash. -In high concurrency scenarios, TiFlash nodes receive multiple MPP tasks simultaneously. If the execution of MPP tasks is not controlled, the number of threads that TiFlash needs to request from the system will increase linearly along with the increasing number of MPP tasks. Too many threads will affect TiFlash's execution efficiency, and since the operating system itself supports a limited number of threads, TiFlash will encounter errors when it requests more threads than the operating system can provide. +In high concurrency scenarios, TiFlash nodes receive multiple MPP tasks simultaneously. If the execution of MPP tasks is not controlled, the number of threads that TiFlash needs to request from the system will increase linearly along with the increasing number of MPP tasks. Too many threads can affect the execution efficiency of TiFlash, and because the operating system itself supports a limited number of threads, TiFlash will encounter errors when it requests more threads than the operating system can provide. To improve TiFlash's processing capability in high concurrency scenarios, an MPP task scheduler needs to be introduced into TiFlash. From b3105df079764db061dda710c6ef9a3bc87ad746 Mon Sep 17 00:00:00 2001 From: xufei Date: Mon, 4 Nov 2024 15:53:28 +0800 Subject: [PATCH 09/14] Update tiflash/tiflash-mintso-scheduler.md Co-authored-by: Grace Cai --- tiflash/tiflash-mintso-scheduler.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tiflash/tiflash-mintso-scheduler.md b/tiflash/tiflash-mintso-scheduler.md index 64865030ae7ac..0a299c072fb45 100644 --- a/tiflash/tiflash-mintso-scheduler.md +++ b/tiflash/tiflash-mintso-scheduler.md @@ -61,4 +61,4 @@ The scheduling process of the MinTSO Scheduler is as follows: ![TiFlash MinTSO Scheduler v2](/media/tiflash/tiflash_mintso_v2.png) -By introducing soft limit and hard limit, the MinTSO scheduler effectively avoids system deadlock while controlling the number of system threads. However, in high concurrency scenarios, it is possible that most queries will have only part of their MPP tasks scheduled. Queries with only part MPP tasks scheduled cannot execute normally, leading to low system execution efficiency. To avoid this situation, TiFlash introduces a limit at the query level for the MinTSO scheduler, called active_set_soft_limit. This limit requires that only up to active_set_soft_limit queries' MPP tasks can participate in scheduling; other queries' MPP Tasks do not participate in scheduling, and only after the current queries finish can new queries participate in scheduling. This limit is only a soft limit because for the MinTSO query, all its MPP tasks can be scheduled directly as long as the number of system threads does not exceed the hard limit. +By introducing soft limit and hard limit, the MinTSO scheduler effectively avoids system deadlock while controlling the number of system threads. However, in high concurrency scenarios, it is possible that most queries will have only part of their MPP tasks scheduled. Queries with only part MPP tasks scheduled cannot execute normally, leading to low system execution efficiency. To avoid this situation, TiFlash introduces a limit at the query level for the MinTSO scheduler, called active_set_soft_limit. This limit requires that only up to active_set_soft_limit queries' MPP tasks can participate in scheduling; other queries' MPP tasks do not participate in scheduling, and only after the current queries finish can new queries participate in scheduling. This limit is only a soft limit because for the MinTSO query, all its MPP tasks can be scheduled directly as long as the number of system threads does not exceed the hard limit. From 120baf9ce20b35155fbfcc7e24cab6d9aff22e55 Mon Sep 17 00:00:00 2001 From: xufei Date: Mon, 4 Nov 2024 15:53:35 +0800 Subject: [PATCH 10/14] Update tiflash/tiflash-mintso-scheduler.md Co-authored-by: Grace Cai --- tiflash/tiflash-mintso-scheduler.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tiflash/tiflash-mintso-scheduler.md b/tiflash/tiflash-mintso-scheduler.md index 0a299c072fb45..a8fd634b8dc6f 100644 --- a/tiflash/tiflash-mintso-scheduler.md +++ b/tiflash/tiflash-mintso-scheduler.md @@ -9,7 +9,7 @@ The TiFlash MinTSO scheduler is a distributed scheduler for [MPP](/glossary.md#m ## Background -When processing MPP queries, TiDB splits the query into one or more MPP tasks and sends these MPP tasks to the corresponding TiFlash nodes for compilation and execution. Before TiFlash uses the [pipeline execution model](/tiflash/tiflash-pipeline-model.md), TiFlash needs to use several threads to execute each MPP task, with the specific number of threads depending on the complexity of the MPP task and the concurrency parameters set in TiFlash. +When processing an MPP query, TiDB splits the query into one or more MPP tasks and sends these MPP tasks to the corresponding TiFlash nodes for compilation and execution. Before TiFlash uses the [pipeline execution model](/tiflash/tiflash-pipeline-model.md), TiFlash needs to use several threads to execute each MPP task, with the specific number of threads depending on the complexity of the MPP task and the concurrency parameters set in TiFlash. In high concurrency scenarios, TiFlash nodes receive multiple MPP tasks simultaneously. If the execution of MPP tasks is not controlled, the number of threads that TiFlash needs to request from the system will increase linearly along with the increasing number of MPP tasks. Too many threads can affect the execution efficiency of TiFlash, and because the operating system itself supports a limited number of threads, TiFlash will encounter errors when it requests more threads than the operating system can provide. From 8f889e9a0f718d8359c8b08904b8ae5a6999e41c Mon Sep 17 00:00:00 2001 From: xufei Date: Mon, 4 Nov 2024 15:53:41 +0800 Subject: [PATCH 11/14] Update tiflash/tiflash-mintso-scheduler.md Co-authored-by: Grace Cai --- tiflash/tiflash-mintso-scheduler.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tiflash/tiflash-mintso-scheduler.md b/tiflash/tiflash-mintso-scheduler.md index a8fd634b8dc6f..f60ed02df5050 100644 --- a/tiflash/tiflash-mintso-scheduler.md +++ b/tiflash/tiflash-mintso-scheduler.md @@ -46,7 +46,7 @@ EXPLAIN SELECT count(*) FROM t0 a JOIN t0 b ON a.id = b.id; +--------------------------------------------+----------+--------------+---------------+----------------------------------------------------------+ ``` -For example, the preceding query generates 2 MPP tasks on each TiFlash node, where the MPP task containing the `ExchangeSender_45` executor depends on the MPP task containing the `ExchangeSender_21` executor. In high concurrency scenarios, if the scheduler schedules the MPP task containing `ExchangeSender_45` for each query, the system will enter a deadlock state. +For example, the preceding query generates two MPP tasks on each TiFlash node, where the MPP task containing the `ExchangeSender_45` executor depends on the MPP task containing the `ExchangeSender_21` executor. In high concurrency scenarios, if the scheduler schedules the MPP task containing `ExchangeSender_45` for each query, the system will enter a deadlock state. To avoid deadlock, TiFlash introduces the following two levels of thread limits: From c8e3bec26015e33bb0e244e872b5ed43295d3900 Mon Sep 17 00:00:00 2001 From: xufei Date: Mon, 4 Nov 2024 15:53:47 +0800 Subject: [PATCH 12/14] Update tiflash/tiflash-mintso-scheduler.md Co-authored-by: Grace Cai --- tiflash/tiflash-mintso-scheduler.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tiflash/tiflash-mintso-scheduler.md b/tiflash/tiflash-mintso-scheduler.md index f60ed02df5050..3a8e085ea989e 100644 --- a/tiflash/tiflash-mintso-scheduler.md +++ b/tiflash/tiflash-mintso-scheduler.md @@ -53,7 +53,7 @@ To avoid deadlock, TiFlash introduces the following two levels of thread limits: * thread_soft_limit: used to limit the number of threads used by the system. For specific MPP tasks, this limit can be broken to avoid deadlock. * thread_hard_limit: used to protect the system. Once the number of threads used by the system exceeds the hard limit, TiFlash will report an error to avoid deadlock. -The principle of avoiding deadlock using soft limit and hard limit is as follows: by using the soft limit to restrict the total number of threads used by all queries, resources are fully utilized while avoiding thread resource exhaustion. The hard limit ensures that in any situation, there is at least one query in the system that can break the soft limit and continue to acquire thread resources and run, thus avoiding deadlock. As long as the number of threads does not exceed the hard limit, there will always be one query in the system where all its MPP tasks can be executed normally, thus preventing deadlock. +The soft limit and hard limit work together to avoid deadlock as follows: the soft limit restricts the total number of threads used by all queries, enabling full use of resources while avoiding thread resource exhaustion; the hard limit ensures that in any situation, at least one query in the system can break the soft limit and continue to acquire thread resources and run, thus avoiding deadlock. As long as the number of threads does not exceed the hard limit, there will always be one query in the system where all its MPP tasks can be executed normally, thus preventing deadlock. The goal of the MinTSO scheduler is to control the number of system threads while ensuring that there is always one and only one special query in the system, where all its MPP tasks can be scheduled. The MinTSO Scheduler is a fully distributed scheduler, with each TiFlash node scheduling MPP tasks based only on its own information. Therefore, all MinTSO schedulers on TiFlash nodes need to identify the same "special" query. In TiDB, each query carries a read timestamp (`start_ts`), and the MinTSO scheduler defines the "special" query as the query with the smallest `start_ts` on the current TiFlash node. Based on the principle that the global minimum is also the local minimum, the "special" query selected by all TiFlash nodes must be the same, called the MinTSO query. From 207e40627d30b0de1fba4184f879e959ad3ced9a Mon Sep 17 00:00:00 2001 From: xufei Date: Mon, 4 Nov 2024 15:53:54 +0800 Subject: [PATCH 13/14] Update tiflash/tiflash-mintso-scheduler.md Co-authored-by: Grace Cai --- tiflash/tiflash-mintso-scheduler.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tiflash/tiflash-mintso-scheduler.md b/tiflash/tiflash-mintso-scheduler.md index 3a8e085ea989e..ebbc53adbaecf 100644 --- a/tiflash/tiflash-mintso-scheduler.md +++ b/tiflash/tiflash-mintso-scheduler.md @@ -55,7 +55,7 @@ To avoid deadlock, TiFlash introduces the following two levels of thread limits: The soft limit and hard limit work together to avoid deadlock as follows: the soft limit restricts the total number of threads used by all queries, enabling full use of resources while avoiding thread resource exhaustion; the hard limit ensures that in any situation, at least one query in the system can break the soft limit and continue to acquire thread resources and run, thus avoiding deadlock. As long as the number of threads does not exceed the hard limit, there will always be one query in the system where all its MPP tasks can be executed normally, thus preventing deadlock. -The goal of the MinTSO scheduler is to control the number of system threads while ensuring that there is always one and only one special query in the system, where all its MPP tasks can be scheduled. The MinTSO Scheduler is a fully distributed scheduler, with each TiFlash node scheduling MPP tasks based only on its own information. Therefore, all MinTSO schedulers on TiFlash nodes need to identify the same "special" query. In TiDB, each query carries a read timestamp (`start_ts`), and the MinTSO scheduler defines the "special" query as the query with the smallest `start_ts` on the current TiFlash node. Based on the principle that the global minimum is also the local minimum, the "special" query selected by all TiFlash nodes must be the same, called the MinTSO query. +The goal of the MinTSO scheduler is to control the number of system threads while ensuring that there is always one and only one special query in the system, where all its MPP tasks can be scheduled. The MinTSO scheduler is a fully distributed scheduler, with each TiFlash node scheduling MPP tasks based only on its own information. Therefore, all MinTSO schedulers on TiFlash nodes need to identify the same "special" query. In TiDB, each query carries a read timestamp (`start_ts`), and the MinTSO scheduler defines the "special" query as the query with the smallest `start_ts` on the current TiFlash node. Based on the principle that the global minimum is also the local minimum, the "special" query selected by all TiFlash nodes must be the same, called the MinTSO query. The scheduling process of the MinTSO Scheduler is as follows: From aa83336ea699ab8ee1c0b00a82ef34100e94b29e Mon Sep 17 00:00:00 2001 From: xufei Date: Mon, 4 Nov 2024 16:25:03 +0800 Subject: [PATCH 14/14] Update tiflash/tiflash-mintso-scheduler.md --- tiflash/tiflash-mintso-scheduler.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tiflash/tiflash-mintso-scheduler.md b/tiflash/tiflash-mintso-scheduler.md index ebbc53adbaecf..6cb5eda77e866 100644 --- a/tiflash/tiflash-mintso-scheduler.md +++ b/tiflash/tiflash-mintso-scheduler.md @@ -61,4 +61,4 @@ The scheduling process of the MinTSO Scheduler is as follows: ![TiFlash MinTSO Scheduler v2](/media/tiflash/tiflash_mintso_v2.png) -By introducing soft limit and hard limit, the MinTSO scheduler effectively avoids system deadlock while controlling the number of system threads. However, in high concurrency scenarios, it is possible that most queries will have only part of their MPP tasks scheduled. Queries with only part MPP tasks scheduled cannot execute normally, leading to low system execution efficiency. To avoid this situation, TiFlash introduces a limit at the query level for the MinTSO scheduler, called active_set_soft_limit. This limit requires that only up to active_set_soft_limit queries' MPP tasks can participate in scheduling; other queries' MPP tasks do not participate in scheduling, and only after the current queries finish can new queries participate in scheduling. This limit is only a soft limit because for the MinTSO query, all its MPP tasks can be scheduled directly as long as the number of system threads does not exceed the hard limit. +By introducing soft limit and hard limit, the MinTSO scheduler effectively avoids system deadlock while controlling the number of system threads. In high concurrency scenarios, however, most queries might only have part of their MPP tasks scheduled. Queries with only part of MPP tasks scheduled cannot execute normally, leading to low system execution efficiency. To avoid this situation, TiFlash introduces a query-level limit for the MinTSO scheduler, called active_set_soft_limit. This limit allows only MPP tasks of up to active_set_soft_limit queries to participate in scheduling; MPP tasks of other queries do not participate in scheduling, and only after the current queries finish can new queries participate in scheduling. This limit is only a soft limit because for the MinTSO query, all its MPP tasks can be scheduled directly as long as the number of system threads does not exceed the hard limit.