From user-return-1494-archive-asf-public=cust-asf.ponee.io@kudu.apache.org Fri Sep 21 18:22:42 2018 Return-Path: X-Original-To: archive-asf-public@cust-asf.ponee.io Delivered-To: archive-asf-public@cust-asf.ponee.io Received: from mail.apache.org (hermes.apache.org [140.211.11.3]) by mx-eu-01.ponee.io (Postfix) with SMTP id 5029A180656 for ; Fri, 21 Sep 2018 18:22:39 +0200 (CEST) Received: (qmail 38254 invoked by uid 500); 21 Sep 2018 16:22:38 -0000 Mailing-List: contact user-help@kudu.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Reply-To: user@kudu.apache.org Delivered-To: mailing list user@kudu.apache.org Delivered-To: moderator for user@kudu.apache.org Received: (qmail 2195 invoked by uid 99); 21 Sep 2018 05:52:10 -0000 X-Virus-Scanned: Debian amavisd-new at spamd2-us-west.apache.org X-Spam-Flag: NO X-Spam-Score: 1.899 X-Spam-Level: * X-Spam-Status: No, score=1.899 tagged_above=-999 required=6.31 tests=[DKIM_SIGNED=0.1, DKIM_VALID=-0.1, DKIM_VALID_AU=-0.1, HTML_IMAGE_RATIO_08=0.001, HTML_MESSAGE=2, RCVD_IN_DNSWL_NONE=-0.0001, RCVD_IN_MSPIKE_H2=-0.001, SPF_PASS=-0.001, T_DKIMWL_WL_MED=-0.01, T_KAM_HTML_FONT_INVALID=0.01] autolearn=disabled Authentication-Results: spamd2-us-west.apache.org (amavisd-new); dkim=pass (2048-bit key) header.d=gmail.com DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20161025; h=mime-version:from:date:message-id:subject:to; bh=hbCijfIZu7kx7jJVZyp/uBENYqTHUbYpBf9dbnQjO1Y=; b=m627zYq0X5ehc0ZuUxNDEq9hnqrWi2LOtDi5krTExIJz9RaL745a7nVM/Mj3i337oA xADeL/oXSbdhisWrUL2Trwpx8lGu0y0I+fvwmPyQOTOnd7+yi3LlQnpGzieEXlSNCw// IyPyIzOhTtwruAU3ltd9zbsR4yKZR+Lz20Aa4ZryFNsFbC3VV0/Kvn9cos95r8qR8Fl0 6u8eFAk9Z1RgyKZT7dxGPdhzcWi/xmDNPWNdHvBSjtdyIvB0eCebfQWJF5o2YMAkb/ib L9fKXzbGD17mKhWpHzkVm0+R9+QQr4B2JUxbviUEXWFUKdA4gpXihMuJic0WF7flTLT8 7SUg== X-Google-DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=1e100.net; s=20161025; h=x-gm-message-state:mime-version:from:date:message-id:subject:to; bh=hbCijfIZu7kx7jJVZyp/uBENYqTHUbYpBf9dbnQjO1Y=; b=IeUseSdYl3cmPdQcKMhXs9BrRxslj9BAaIRIBnKjqiZaRf0Ukgp64SetGV+4vMD0oj B5tCxAdFbRaKaasYWoO+Ru9C4tlnR4DQQjcBjOb0YHKphuxxBM5CIavJN4EECH7qeydO U+IN6ReEnEp6xA+OjTujFXXaay+2vHxJvsq50gwA2C+UqgXFQBflZAoPsBHZTmLexf2b 1rf91G77fpRxgfAgChhlhBQ/v2vaMa7Db91OE1SM1cS0OoK7dHYd8iXFelltMlQBkMaA 2BM74pGw2mzzd24RZNUV0VLgeNmflxxArm82ovJtYSlyoiVwkdcwAVgTa8u/nZhfK3xj H0IA== X-Gm-Message-State: APzg51AcAmkx6LQ9GoqwEhyOltN1WUerXHfPq9tPJXKQtPcsZDTh6/HR V67AVc6RvSiJnL+ligpBVQPKyeSM1Bmvx54WyDXq3Vbj8ac= X-Google-Smtp-Source: ANB0VdZmWnbFi+m+HCey5hD2rC4Cty7O6ABGuSKp/CLV+m8MkaFV3kkBI6d2RKWrhOv/RUS242RsyJF+VfHEOZEjC1M= X-Received: by 2002:ab0:3352:: with SMTP id h18-v6mr12804176uap.2.1537509126630; Thu, 20 Sep 2018 22:52:06 -0700 (PDT) MIME-Version: 1.0 From: Xiaokai Wang Date: Fri, 21 Sep 2018 13:51:55 +0800 Message-ID: Subject: Re: Locks are acquired to cost much time in transactions To: user@kudu.apache.org Content-Type: multipart/related; boundary="000000000000555d3f05765b3dd3" --000000000000555d3f05765b3dd3 Content-Type: multipart/alternative; boundary="000000000000555d3d05765b3dd2" --000000000000555d3d05765b3dd2 Content-Type: text/plain; charset="UTF-8" Content-Transfer-Encoding: quoted-printable Thanks your reply, Mike. In our scenario, some tables have a lot of data to be updated at the same time. The current implementation of KUDU, if TXN(transaction) can not get all the ops lock it will wait for 1s to block the entire Tablet processing, which will greatly reduce the write performance of the Tablet.Reduce the size of the batch, TXN may still have the same row key, and can not solve this problem. In my way, I want to change the work way of 'APPLY' phase, instead of putting TXN to apply_pool_ queue, I will put each key-op(splitting TXN to ops) to apply_pool_token_ queue. This will guarantee the same key's op will be putted to the same thread. When ops belonging to the same TXN execute over, then send rpc response and write CommitMsg to WAL. In this way, I can abandon the keys locks. Working follow chart just like this below: [image: op-key_concurrent.png] 1. client send T1, T2, T3 to tserver, tserver will handle each txn in turn. 2. leader send replicated msg to follower, sending them together or independent. T1, T2, T3 will be ordered to execute by follower and send them back by together or independent in turn. raft_pool_token_ guarantee T1, T2 T3 be ordered to apply. 3. Splitting Tx to ops, each op is hashed to the queue of apply_pool_token_, key's op is order to execute as TXN turn. -------- Kudu origin work way below: [image: txn_concurrent.png] 1. client send T1, T2, T3 to tserver, tserver will handle each txn orderly, they will acquire locks in 'PREPARE' phase in turn. 2. leader send replicated msg to follower, sending them together or independent. T1, T2, T3 will be ordered to execute by follower and send them back by together or independent in turn. raft_pool_token_ guarantee T1, T2 T3 be ordered to apply. 3. T1, T2, T3 are putted to the queue of apply_pool_, order or concurrented to be executed, releasing locks. ----------- Contrast to origin, the keys locks are abandon, this can guarantee kudu throughput more smoothly. What do you think? Hope to get your advice, kudu users. Thanks. xiaokai. From: *Mike Percy* Date: 2018=E5=B9=B49=E6=9C=8819=E6=97=A5=E5=91=A8=E4=B8=89 =E4=B8=8A=E5=8D= =888:29 Subject: Re: Locks are acquired to cost much time in transactions To: Why do you think you are spending a lot of time contending on row locks? Have you tried configuring your clients to send smaller batches? This may decrease throughput on a per-client basis but will likely improve latency and reduce the likelihood of row lock contention. If you are really spending most of your time contending on row locks then you will likely run into more fundamental performance issues trying to scale your writes, since Kudu's MVCC implementation effectively stores a linked list of updates to a given cell until compaction occurs. See https://github.com/apache/kudu/blob/master/docs/design-docs/tablet.md#histo= rical-mvcc-in-diskrowsets for more information about the on-disk design. If you accumulate too many uncompacted mutations against a given row, reading the latest value for that row at scan time will be slow because it has to do a lot of work at read time. Mike On Tue, Sep 18, 2018 at 8:48 AM Xiaokai Wang wrote: Moved here from JIRA. Hi guys, I met a problem about the keys locks that almost impacts the service normal writing. As we all know, a transaction which get all row_key locks will go on next step in kudu. Everything looks good, if keys are not concurrent updated. But when keys are updated by more than one client at the same time, locks are acquired to wait much time. The cases are often in my product environment. Does anybody meet the problem? Has any good ideal for this? In my way, I want to try to abandon keys locks, instead using *_pool_token_ 'SERIAL' mode which keeping the key of transaction is serial and ordered. Dose this work? Hope to get your advice. Thanks. ----- Regards, Xiaokai ----- Regards, Xiaokai --000000000000555d3d05765b3dd2 Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: quoted-printable

Thanks your reply, Mike.

In our scenario,=C2=A0some ta= bles have a lot of data to be updated at the same time.=C2=A0The current implementation of KUDU,=C2=A0if TXN(transaction) can not get all the ops lock it will wait = for 1s to block the entire Tablet processing,=C2=A0which will greatly reduce the write performance of the = Tablet.Reduce the size of the b= atch,=C2=A0TXN may still have the same row key, and can not solve this problem.


In my way, I want to cha= nge the work way of 'APPLY' phase, instead of putting TXN to apply_= pool_ queue, I will put each key-op(sp= litting TXN to ops)=C2=A0to app= ly_pool_token_ queue. This will=C2=A0guarantee the same key's op will be putted to the same thread. When op= s belonging to the same TXN execute over,=C2=A0then send rpc response and write CommitMsg to WAL. In this way, I can abandon the keys locks.


Working follow chart just lik= e this below:
3D=
1. client send T1, T2, T3 to tserver, tserver will ha= ndle each txn in turn.

2. leader send replicated msg= to follower, sending them together or independent. T1, T2, T3 will be orde= red to execute by follower and send them back by together or independent in= turn. raft_pool_token_ guarantee T1, T2 T3 be ordered to apply.
<= br>
3. Splitting Tx to ops, each op is hashed to the queue of appl= y_pool_token_, key's op is order to execute as TXN turn.

--------

Kudu origin work way below:
3D"txn_concurrent.png"
1. client send T= 1, T2, T3 to tserver, tserver will handle each txn orderly, they will acqui= re locks in 'PREPARE' phase in turn.

2. leader send replicated msg to follower, sending t= hem together or independent. T1, T2, T3 will be ordered to execute by follo= wer and send them back by together or independent in turn. raft_pool_token_= guarantee T1, T2 T3 be ordered to apply.

3. T1, T2, T3 are putted to the queue of apply_pool_, o= rder or concurrented to be executed, releasing locks.

= -----------

Contrast to origin,=C2=A0the keys lock= s are abandon, this can=C2=A0guarantee kudu throughp= ut more smoothly.=C2=A0What do y= ou think? Hope to get your advice, kudu users.
<= span style=3D"color:rgb(25,31,37);font-family:"Helvetica Neue";fo= nt-size:14px;font-style:inherit;font-variant-ligatures:inherit;font-variant= -caps:inherit;font-weight:inherit">
Thanks.
xiaokai.


From:=C2=A0Mi= ke Percy=C2=A0<mpercy@apache.org>=
Date: 2018=E5=B9=B49=E6=9C=8819=E6=97=A5=E5=91=A8=E4=B8=89 =E4= =B8=8A=E5=8D=888:29
Subject: Re: Locks are acquired to cost much time in= transactions
To: <user@kudu.apache.org>


Why do you think you are spending a lot of time = contending on row locks?

Have you tried configuring your clie= nts to send smaller batches? This may decrease throughput on a per-client b= asis but will likely improve latency and reduce the likelihood of row lock = contention.


If you accumulate too many uncompacted mutati= ons against a given row, reading the latest value for that row at scan time= will be slow because it has to do a lot of work at read time.

On Tue, Sep 18, 2018 at 8:48 AM Xiaokai Wang <= ;xiaokai.wang@live.com= > wrote:
Moved here from J= IRA.

Hi guys,=C2=A0I met a problem about the keys locks that almost impacts the service n= ormal writing.


As we all know,=C2=A0a transaction which ge= t all row_key locks will go on next step in kudu. Everything looks good,=C2=A0<= /span>if keys are not concurrent updated. But when keys are updated by more= than one client at the same time,=C2=A0locks are acquired to wait much = time. The cases are often in my product environment. Does anybody meet the = problem? Has any good ideal for this?


In my w= ay, I want to try to abandon keys locks, instead using *_pool_token_ 'S= ERIAL' mode which keeping the key of transaction is serial and ordered.= Dose this work?


=

Hope to get your advice. Thanks.


-----
Regards,
Xiaokai


-----
Regards,
Xiaokai
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