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Shadow Of Winger

Feb 26, 2017. 举个例子 如果parallelism=15, 这时你有两个DAG,A和B,如果A需要同时开跑10个Task,B也要同时开跑10个Task,两个DAG同时触发,那么这时候同时在跑的Task数量只能是15,其余的5个会等之前的Task运行完了触发,这时的状态不会显示在web上。 Dag concurrency 这个参数指定了同一个Dag Run中能同时运行的Task Instance的个数. Max active runs per dag 这个参数指定了同一个Dag能被同时激活的Dag Run的数量. Non pooled task slot count 这个参数指定了默认的Pool能同时运行的Task Instance的数量,如果你的Task没有指定Pool选项,那么这个Task就是属于这个默认的Pool的. 对于Airflow来说,Dag Run和Task Instance都有自己的执行状态,而且这两者的执行状态 不关联. 也就是说有可能某一个Dag Run是Success的,但是这个Dag Run里的Task Instance确是Failed或者无状态的,反之亦然。

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Shadow Of Winger | wingerted.com Reviews
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Feb 26, 2017. 举个例子 如果parallelism=15, 这时你有两个DAG,A和B,如果A需要同时开跑10个Task,B也要同时开跑10个Task,两个DAG同时触发,那么这时候同时在跑的Task数量只能是15,其余的5个会等之前的Task运行完了触发,这时的状态不会显示在web上。 Dag concurrency 这个参数指定了同一个Dag Run中能同时运行的Task Instance的个数. Max active runs per dag 这个参数指定了同一个Dag能被同时激活的Dag Run的数量. Non pooled task slot count 这个参数指定了默认的Pool能同时运行的Task Instance的数量,如果你的Task没有指定Pool选项,那么这个Task就是属于这个默认的Pool的. 对于Airflow来说,Dag Run和Task Instance都有自己的执行状态,而且这两者的执行状态 不关联. 也就是说有可能某一个Dag Run是Success的,但是这个Dag Run里的Task Instance确是Failed或者无状态的,反之亦然。
<META>
KEYWORDS
1 shadow of winger
2 archives
3 airflow usage
4 airflow 的运行流程
5 dag,task和他们的实例
6 首先要明白一个概念,无论是dag,还是task都是一个描述一个抽象的逻辑
7 真正在某个时间点运行的dag或task才是运行的实例
8 在airflow中,dag的实例叫做 dag run
9 task的实例叫做 task instance
10 airflow 执行组件
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shadow of winger,archives,airflow usage,airflow 的运行流程,dag,task和他们的实例,首先要明白一个概念,无论是dag,还是task都是一个描述一个抽象的逻辑,真正在某个时间点运行的dag或task才是运行的实例,在airflow中,dag的实例叫做 dag run,task的实例叫做 task instance,airflow 执行组件,airflow的调度和执行流程中有两个核心的组件,触发条件达到后,会丢给executor执行,任务依赖,时间依赖
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Shadow Of Winger | wingerted.com Reviews

https://wingerted.com

Feb 26, 2017. 举个例子 如果parallelism=15, 这时你有两个DAG,A和B,如果A需要同时开跑10个Task,B也要同时开跑10个Task,两个DAG同时触发,那么这时候同时在跑的Task数量只能是15,其余的5个会等之前的Task运行完了触发,这时的状态不会显示在web上。 Dag concurrency 这个参数指定了同一个Dag Run中能同时运行的Task Instance的个数. Max active runs per dag 这个参数指定了同一个Dag能被同时激活的Dag Run的数量. Non pooled task slot count 这个参数指定了默认的Pool能同时运行的Task Instance的数量,如果你的Task没有指定Pool选项,那么这个Task就是属于这个默认的Pool的. 对于Airflow来说,Dag Run和Task Instance都有自己的执行状态,而且这两者的执行状态 不关联. 也就是说有可能某一个Dag Run是Success的,但是这个Dag Run里的Task Instance确是Failed或者无状态的,反之亦然。

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xidui.github.io xidui.github.io

Go语言学习笔记 | xidui is very lazy

http://xidui.github.io/2016/03/06/Go语言学习笔记

Xidui is very lazy. Package, imports 略. Error msg: cannot use [3]int literal (type [3]int) as type []int in return argument. Return array but slice needed. Std: vector int slice. B = a / 赋值,但a,b底层所指的数组是同一份,在堆中. FmtPrintln(a) / [1 0 0]. FmtPrintln(b) / [1 0 0]. FmtPrintln(a) / [1 2 0] 其实和b是同一份数据,因为a的长度还是3,所以只输出了3个. FmtPrintln(b) / [1 2 0 4]. A) / 0x820246000 a对象中的array指针地址已变,指向了更长的数组,但a变量本身并不会更改位置. FmtPrintln(a) / [1 2 0 5 6 7 8]. FmtPrintln(b) / [1 2 0 5]. Go get golang.org/x/tools/cmd/goimports.

xidui.github.io xidui.github.io

谈谈项目的重构与测试 | xidui is very lazy

http://xidui.github.io/2015/12/09/谈谈项目重构与测试

Xidui is very lazy. Result 1 = sync call 1(some params). Result 2 = sync call 2(some params). If you don't want to refactor. Just call it as it always be. Result 1 = sync call 1(some params). Result 2 = yield. Async call 2(some params). 的方式 仅限于Python 2.7. Isinstance(e, gen.Return):. Return the value raised by logic. Title : {type : String. Time : {type : Date. Now(), required : true. Comments : [{. Content : {type : String. Test 1 user 1 user 2 add friend. Test 2 user 1 user 2 del friend. And save it in ...

xidui.github.io xidui.github.io

算法训练——GCJ-2008-R1A-B-Milkshakes | xidui is very lazy

http://xidui.github.io/2016/03/27/算法训练笔记——GCJ-2008-R1A-B-Milkshakes

Xidui is very lazy. 题目链接: https:/ code.google.com/codejam/contest/32016/dashboard#s=p1. 如果所有用户至少有两种喜欢的奶昔,那么必然有一种是 unmalted ,那只要保证所有奶昔种类都是 malted 就解决了。 逻辑流程走到这里,表示必须做成 malted 的奶昔已经处理完毕,后续的逻辑可以不用考虑这种奶昔的存在,重新回到 1. 主循环体退出的条件 客户列表为空或者已经不存在只偏好某一种 malted 奶昔的客户. C = int(f.readline(). N = int(f.readline(). M = int(f.readline(). Tmp = {}. Line = f.readline().strip().split(). Ans = {}. Solution logic insert below. New malted = None. New malted = c.keys()[ 0. Del list = []. Res = "Case #{0}:". Res = " IMPOSSIBLE".

xidui.github.io xidui.github.io

async源码阅读笔记 | xidui is very lazy

http://xidui.github.io/2015/12/24/async源码阅读笔记

Xidui is very lazy. Arg1, arg2, callback. Arg1 now equals 'one' and arg2 now equals 'two'. Arg1 now equals 'three'. Result now equals 'done'. Run( index, args, cb. Task = tasks[index];. Index = = tasks.length) {. Cb & cb.apply( null. Var rest = arguments.slice(1); / arguments并没有slice方法,因此这样会报错. Rest = [].slice.call( arguments. Run( index , rest, cb);. Taskslength = = 0. Cb & cb();. Run( index , [], cb);. Log([].slice.call( arguments. One", "two", "three"]. 123; '0': 'one', '1': 'two', '2': 'three' }.

xidui.github.io xidui.github.io

在linode服务器上安装kubernetes集群 | xidui is very lazy

http://xidui.github.io/2016/05/30/在linode服务器上安装kubernetes集群

Xidui is very lazy. Module Size Used by. Root@localhost: $ uname -a. Linux localhost 4.5.0-x86-linode84 #2 SMP Mon Mar 14 18:19:49 EDT 2016 i686 i686 i686 GNU/Linux. Root@li85-212 ]# uname -a. Linux li85-212.members.linode.com 3.10.0-327.18.2.el7.x86 64 #1 SMP Thu May 12 11:03:55 UTC 2016 x86 64 x86 64 x86 64 GNU/Linux. Module Size Used by. Xt comment 12504 1. Ip6t rpfilter 12546 1. Ip6t REJECT 12939 2. 这里有一点要注意,linode默认rebuild的时候是没有开启 Auto-configure Networking 的,把最下面那个选上,再rebuild即可。 主题 - NexT.Mist.

xidui.github.io xidui.github.io

celery初探 | xidui is very lazy

http://xidui.github.io/2016/01/13/celery初探

Xidui is very lazy. App = Celery( 'not important'. Broker= 'redis:/ 127.0.0.1/0'. App = Celery( 'celery worker'. Broker= 'redis:/ 127.0.0.1/0'. Celery -A celery worker worker - loglevel=info. Python celery producer.py. 2016-01-13 23:55:33,905: INFO/MainProcess] Received task: celery worker.add[c39b1acc-22e1-4d6c-a323-4a7a0da1864c]. 虽然从输出看,他的app名称是not important,但它的tasks却是celery worker.add. 主题 - NexT.Mist.

xidui.github.io xidui.github.io

标签 | xidui is very lazy

http://xidui.github.io/tags

Xidui is very lazy. 主题 - NexT.Mist.

xidui.github.io xidui.github.io

浅析tornado协程运行原理 | xidui is very lazy

http://xidui.github.io/2016/01/26/浅析tornado协程运行原理

Xidui is very lazy. 去年有一段时间一直在研究各种python协程框架,包括gevent, asyncio, tornado。 Wait time = random.randint( 1. Print( 'URL {} took {}s to get! Format(url, wait time). GenReturn( url, wait time). Before = time.time(). Coroutines = [get url(url) for. After = time.time(). Print( 'total time: {} seconds'. Name = ' main '. IOLoop.current().run sync(outer coroutine). URL URL1 took 1s to get! URL URL2 took 2s to get! URL URL3 took 2s to get! Apos;URL1', 1), ('URL2', 2), ('URL3', 2)]. Func, replace callback). Any(isins...

xidui.github.io xidui.github.io

nginx中map模块的使用及性能测试 | xidui is very lazy

http://xidui.github.io/2016/07/13/nginx——map性能测试

Xidui is very lazy. Http:/ hostname/discuss/ topic id / topic name. Http:/ hostname/topic/ topic id / topic slug. Map hash max size 204800;. Map hash bucket size 204800;. Map $request uri $new {. Include /etc/nginx/conf.d/*.conf;. If ($new) {. Rewrite https:/ discuss.leetcode.com$new redirect;. Location / {. Resend( 'Hello World n'. Log( 'Server running at http:/ 0.0.0.0:1337/'. M2 = hashlib.md5(). Current = "hello world". F = open( './url.map'. Current = m2.hexdigest(). If ($new) {. 主题 - NexT.Mist.

xidui.github.io xidui.github.io

归档 | xidui is very lazy

http://xidui.github.io/archives

Xidui is very lazy. 主题 - NexT.Mist.

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Shadow Of Winger

Feb 26, 2017. 举个例子 如果parallelism=15, 这时你有两个DAG,A和B,如果A需要同时开跑10个Task,B也要同时开跑10个Task,两个DAG同时触发,那么这时候同时在跑的Task数量只能是15,其余的5个会等之前的Task运行完了触发,这时的状态不会显示在web上。 Dag concurrency 这个参数指定了同一个Dag Run中能同时运行的Task Instance的个数. Max active runs per dag 这个参数指定了同一个Dag能被同时激活的Dag Run的数量. Non pooled task slot count 这个参数指定了默认的Pool能同时运行的Task Instance的数量,如果你的Task没有指定Pool选项,那么这个Task就是属于这个默认的Pool的. 对于Airflow来说,Dag Run和Task Instance都有自己的执行状态,而且这两者的执行状态 不关联. 也就是说有可能某一个Dag Run是Success的,但是这个Dag Run里的Task Instance确是Failed或者无状态的,反之亦然。

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