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...压订单严重、人工派单随机性强引起订单配送时效性差等现实问题,而阿里云通过智能派单系统,基于海量历史订单数据、餐厅数据、骑手数据、用户数据等信息实现智能派单,逐步替代调度员的大部分工作。智能派单系统整体全面上线后将释放90%以上人工派单的人力,每年节省人力支出预计超过亿元。 饿了么的IT系统架构伴随业务量飙升,进行了三次重大升级。 1)起步期(2009至2013年):饿了么由上海交通大学创始团队起家,发展至35人规模,日订单量维持在十万量级,由“IDC+Python”技术组合支撑业务运营,但面临Python人才难觅等困扰。 2)成长期(2014年至2015年):14年8至9月短短2个月内日均订单量增长10倍,从10万迅猛飙升至100万,业务规模主攻全国200个城市,原有IT系统架构压力极大,依靠人肉运维举步维艰,故障波动影响业务,创始人与核心技术团队坚守机房运维一线,才勉强扛住100万量级业务订单。开始借鉴阿里淘宝架构模式,人员团队也涨至500人,技术生态从Python扩展至“Java+Python”开发体系,从“人肉”支撑百万订单运营到自动化运维,并筹备同城异地容灾体系。 3)规模期(2015年至2017年):2015年7至8月,日均订单量从200万翻倍,以往积压的问题都暴露出来,技术架构面临大考验,坚定了架构上云的方案,团队扩展至1000人,架构要承载数百万量级业务时,出现峰值成本、灾备切换、IDC远程运维等种种挑战,全面战略转型采用“IDC+云计算”的混合云架构。在2016年12月25日圣诞节日订单量迎来前所未有的900万单,因此在技术架构上探索多活部署等创新性研发。 为什么选择架构转型上云?据饿了么CTO张雪峰先生所说,技术架构从IDC经典模式发展至混合云模式,主要原因是三个关键因素让管理层下定决心上云: 1) 脉冲计算:从技术架构配套业务发展分析,网络订餐业务具有明显的“脉冲计算”特征,在每日上午10:00至13:00、晚间16:00至19:00业务高峰值出现,而其他时间则业务量很低,暑假是业务高峰季,2016年5.17大促,饿了么第一次做“秒杀”,一秒订单15000笔,巨大的波峰波谷计算差异,引发了自建数据中心容量不可调和的两难处境,如果大规模投入服务器满足6小时的高峰业务量,则其余18个小时的业务低谷计算资源闲置,若满足平均业务量,则无法跟上业务快速发展节奏,落后于竞争对手;搞电商大促时,计算资源投入巨大,大促之后计算峰值下降,采用自建机房利用率仅10%,所以技术团队摸索出用云计算扛营销大促峰值的新模式,采用混合云架构满足 “潮汐业务”峰值计算,阿里云海量云计算资源弹性随需满足巨大的脉冲计算力缺口,这与每年“双11” 淘宝引入阿里云形成全球最大混合云架构具有异曲同工的创新价值。 2) 数据量爆炸:伴随饿了么近五年业务量呈几何级数的爆发式发展,数据量增速更加令人吃惊,是业务量增速的5倍,每日增量数据接近100TB,2015年短短2个月内业务量增长10倍,数据量增长了50倍,上海主生产机房不堪重负。30GB的DDoS攻击对业务系统造成较大风险,上云成为承载大数据、抗网络攻击的好方法。 3) 高可用性挑战:众所周知,IDC自建系统运维要承担从底层硬件到上层应用的“全栈运维”运营能力与维修能力,当2015年夏天上海数据中心故障发生,主核心交换机宕机时,备核心交换机Bug同时被触发,从事故发生到硬件厂商携维修设备打车赶往现场维修的整个过程中,饥饿的消费者无法订餐吃饭,技术团队第一次经历业务中断而束手无策,才下定决心大笔投入混合云灾备的建设,“吃一堑,长一智”,持续向淘宝学习电商云生产与灾备架构,以自动化运维替代人肉运维,从灾备向多活演进,成为饿了么企业架构转型的必经之路。 4) 大数据精益运营:不论网络打车还是网络订餐,共享服务平台脱颖而出的关键成功要素是智能调度算法,以大数据训练算法提升调度效率,饿了么在高峰时段内让百万“骑士”(送餐快递员)完成更多订单是算法持续优化的目标,而这背后隐藏着诸多复杂因素,包括考虑餐厅、骑士、消费者三者的实时动态位置关系,把新订单插入现有“骑士”的行进路线中,估计每家餐厅出餐时间,每个骑手的行进速度、道路熟悉程度各不相同,新老消费者获客成本、高价低价订单的优先级皆不相同。种种考量因素合并到一起,对于人类调度员来说,每天中午和晚上的高峰都是巨大的挑战。以上海商城路配送站为例,一个调度员每6秒钟就要调度1单,他需要考虑骑手已有订单量、路线熟悉度等。因此可以说,这份工作已经完全不适合人类。但对人工智能而言,阿里云ET则非常擅长处理这类超复杂、大规模、实时性要求高的“非人”问题。 饿了么是中国最大的在线外卖和即时配送平台,日订单量900万单、180万骑手、100万家餐饮店,既是史无前例的计算存储挑战,又是人无我有的战略发展机遇。饿了么携手阿里云人工智能团队,通过海量数据训练优化全球最大实时智能调度系统。在基础架构层,云计算解决弹性支撑业务量波动的基础生存问题,在数据智能层,利用大数据训练核心调度算法、提升餐饮店的商业价值,才是业务决胜的“技术神器”。 在针对大数据资源的“专家+机器”运营分析中,不断发现新的特征: 1) 区域差异性:饿了么与阿里云联合研发小组测试中发现有2个配送站点出现严重超时问题。后来才知道:2个站点均在成都,当地人民喜欢早、中餐一起吃,高峰从11点就开始了。习惯了北上广节奏的ET到成都就懵了。据阿里云人工智能专家闵万里分析:“不存在一套通用的算法可以适配所有站点,所以我们需要让ET自己学习或者向人类运营专家请教当地的风土人情、饮食习惯”。除此之外,饿了么覆盖的餐厅不仅有高大上的连锁店,还有大街小巷的各类难以琢磨的特色小吃,难度是其他智能调度业务的数倍。 2) 复杂路径规划:吃一口热饭有多难?送餐路径规划比驾车出行路径规划难度更高,要考虑“骑士”地图熟悉程度、天气状况、拼单效率、送餐顺序、时间对客户满意度影响、送达写字楼电梯等待时间等各种实际情况,究竟ET是如何实现智能派单并确保效率最优的呢?简单来说,ET会将配送站新接订单插入到每个骑手已有的任务中,重新规划一轮最短配送路径,对比哪个骑手新增时间最短。为了能够准确预估新增时间,ET需要知道全国100万家餐厅的出餐速度、超过180万骑手各自的骑行速度、每个顾客坐电梯下楼取餐的时间。一般来说,餐厅出餐等待时间占到了整个送餐时间的三分之一。ET要想提高骑手效率,必须准确预估出餐时间以减少骑手等待,但又不能让餐等人,最后饭凉了。饿了么旗下蜂鸟配送“准时达”服务单均配送时长缩短至30分钟以内。 3) 天气特殊影响:天气等环境因素对送餐响应时间影响显著,要想计算骑手的送餐路程时间,ET需要知道每个骑手在不同区域、不同天气下的送餐速度。如果北京雾霾,ET能看见吗?双方研发团队为ET内置了恶劣天气的算法模型。通常情况下,每逢恶劣天气,外卖订单将出现大涨,对应的餐厅出餐速度和骑手骑行速度都将受到影响,这些ET都会考虑在内。如果顾客在下雪天点个火锅呢?ET也知道,将自动识别其为大单,锁定某一个骑手专门完成配送。 4) 餐饮营销顾问:饿了么整体业务涉及C端(消费者)、B端(餐饮商户)、D端(物流配送)、BD端(地推营销),以往区域业务开拓考核新店数量,现在会重点关注餐饮外卖“健康度”,对于营业额忽高忽低、在线排名变化的餐饮店,都需要BD专家根据大数据帮助餐饮店经营者找出原因并给出解决建议,避免新店外卖刚开始就淹没在区域竞争中,销量平平的新店会离开平台,通过机器学习把餐饮运营专家的经验、以及人看不到的隐含规律固化下来,以数据决策来发现餐饮店经营问题、产品差异定位,让餐饮商户尝到甜头,才愿意继续经营。举个例子,饿了么员工都喜欢楼下一家鸡排店的午餐,但大数据发现这家店的外卖营收并不如实体店那么火爆,9元“鸡排+酸梅汁”是所有人都喜欢的爆款产品,可为什么同样菜品遭遇“线下火、线上冷”呢?数据预警后,BD顾问指出线上外卖鸡排产品没有写明“含免费酸梅汁一杯”的关键促销内容,导致大多数外卖消费者订一份鸡排一杯酸梅汁,却收到一份鸡排两杯酸梅汁,体验自然不好。 饿了么是数据驱动、智能算法调度的自动化生活服务平台,通过O2O数据的在线实时分析,与阿里云人工智能团队不断改进算法,以“全局最优”取代“局部最优”,保证平台上所有餐饮商户都能享受到数据智能的科技红利。 “上云用数”的外部价值诸多,从饿了么内部反馈来看,上云不仅没有让运维团队失去价值,反而带来了“云原生应用”(Cloud Native Application)、“云上多活”、“CDN云端压测”、“安全风控一体化”等创新路径与方案,通过敏捷基础设施(IaaS)、微服务架构(PaaS和SaaS)、持续交付管理、DevOps等云最佳实践,摆脱“人肉”支撑的种种困境,进而实现更快的上线速度、细致的故障探测和发现、故障时能自动隔离、故障时能够自动恢复、方便的水平扩容。饿了么CTO张雪峰先生说:“互联网平台型组织,业务量涨数倍,企业人数稳定降低,才是技术驱动的正确商业模式。” 在不久的将来,你每天订餐、出行、娱乐、工作留下的大数据,会“驯养”出无处不在、无所不能的智能机器人管家,家庭助理帮你点菜,无人机为你送餐,聊天机器人接受你的投诉……当然这个无比美妙的“未来世界”背后,皆有阿里云的数据智能母体“ET”。 本篇文章为转载内容。原文链接:https://blog.csdn.net/weixin_34126557/article/details/90592502。 该文由互联网用户投稿提供,文中观点代表作者本人意见,并不代表本站的立场。 作为信息平台,本站仅提供文章转载服务,并不拥有其所有权,也不对文章内容的真实性、准确性和合法性承担责任。 如发现本文存在侵权、违法、违规或事实不符的情况,请及时联系我们,我们将第一时间进行核实并删除相应内容。
2023-01-31 14:48:26
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...外,在图片加载与缓存策略方面,除了文中提及的开源库如universal-image-loader和Volley,Google自家的Glide库凭借其高度优化的内存管理和磁盘缓存策略,已成为众多开发者首选的图片加载工具。Glide不仅实现了三级缓存,还特别针对Android设备的特性进行了深度优化,进一步提升了应用的流畅度和用户体验。 而对于面试中的XMPP协议通信技术,尽管仍被广泛采用,但近年来WebRTC和MQTT等新兴通信协议也逐渐崭露头角,特别是在实时音视频通话及物联网场景中,它们因更低延迟和更高效率受到业界青睐。因此,Android开发者应紧跟行业趋势,了解并掌握多种通信协议及其应用场景,以适应不断变化的技术需求。 总的来说,无论是面试技巧还是技术储备,持续学习和积累都是提升竞争力的关键。在实际工作中深入理解Android系统原理,关注行业最新动态和技术演进方向,将有助于求职者更好地应对各类面试挑战,并在未来的职业道路上取得成功。
2023-06-19 17:42:52
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...一个开关,受试者可以随机的选择在何时按下那个开关。而科学家通过观察受试者的大脑神经活动,就能在受试者做决定之前知道受试者做了怎样的决定。也就是说,当这些内部输出被外部观测者“灵魂”所察觉的时候,心流自身已经做出了决定。7 或许你没有亲自做过这个实验,并不相信实验的结论,但是还有一个实验,你现在就可以给自己做一个测试。相信对于大家心算100以内的乘法没有什么问题,那么请各位充分运用自己的自由意志,即本文中的“灵魂”去控制你的大脑心算5672,注意在计算的过程中不要让自己的大脑去思考其他的任何事情,用尽快的速度计算出结果。当然,你会发现你根本做不到,无论如何你都无法控制那先奇奇怪怪的想法出现在你的大脑里,至于大脑为什么会像你控制的那样去计算5672,接下来我会给出人类的大脑思维模型。 生物的模型 生物的模型分为两部分,一部分我称为确定机,一部分我称为概率机。 确定机 确定机是指只要输入确定,那么就会产生确定输出的部分,而对于输入的概率性则不予考虑。例如,当生物多次看到同一个画面的时候会在大脑里形成同样的图像,因为每次输入的光信号都是一样的,在生物内部进行的信号传递过程也是一样的,所以在大脑里形成的图像输出也是一样的。现在人类所生产的绝大多数工具就是一个确定机的模型,如果相同的输入,不管输入多少次都会得到相同的输出。确定机也是生物模型的基础部分,构成生物的绝大部分,实际上,除了大脑,生物的任何部分都是一个确定机的模型,而大脑也有一部分的确定机模型。对于确定机,所有的内部过程和输出都不会被“灵魂”检阅,当然生物上可以通过解剖或其他更先进的方式去检查生物内部确定机的工作状态。 概率机 概率机是指即使输入确定,输出的确定性也指限制在一定的概率范围之内,会以不同但是给定的概率输出多个输出。当然给定的概率可以是确定机给出的确定概率(只在输入确定的情况下才确定),也可以是概率机给出的概率概率。概率机构成生物的大脑部分,当然一部分低等生物只由确定机构成。对于概率机,有一部分输出会被“灵魂”检阅,而“灵魂”是否检阅取决于“灵魂”本身,当然,对于概率机的工作状态,也可以通过解剖或其他更先进的方式去检查。 生物思考的过程 对于不同的生物,大脑可以同时进行的事情是有限的。就像现在的电脑手机一样,有严格的内存限制,对于大脑来说,同时启用着多个线程,每个线程所占用的内存不同,但是所有线程所占用的内存总和不得超限。对于每个线程,会随机的考虑一些事件,这些事件包括记忆中的事件,和当时正在发生的事件,对于每个事件出现在线程中的概率不同。 不同事件的概率遵循的规律大致有以下几条: 1.对记忆中的事件,事件越久远概率越低。 2.对当时正在发生的事件,概率大致相同。 3.与当时线程中事件有关的事件概率高,无关的概率低。 4.与线程中的事件相关的个数越多,概率越高 5.对不同的心流状态,概率分配有所不同。 6.每个个体对不同的事件有不同的概率分配方案。 7.待补充。 可以说,大脑中的一切过程都是随机的。那这样的话,生物的思考过程究竟如何进行呢?其实很简单,单个概率可能代表随机,但是多个概率就有可能表示必然。我还是举那个5672的例子,为什么你会真的去心算这个结果,大致的过程是这样的,如果大脑的思考频率以毫秒计的话,假设看5672用了200毫秒,其中每毫秒除了这一事件,还有其他的99个事件,那么刚看完就开始计算的概率为1-0.99200=0.8660203251,看完后1秒之内还没有开始计算的概率为0.991000= 4.31712474107 e-5,可以说即使大脑中随机的杂念再多,思考的过程也会如约开始。假设线程中与事件相关的事件出现的概率为0.3,同理,在开始计算后1秒内大部分时间都在思考与计算有关的内容,当然也有可能会走神,即出现大范围的无关事件,但是这只会影响最后计算出结果的时间先后,并不会影响整个过程的进行。这也就是说,大脑的思考过程,其实就是由多个概率所确定的必然事件。 灵魂的旁观者 综上所述,作为个体唯一存在的“灵魂”处在一个旁观者的位置,而所谓的自由意识,主观意识不过是概率机的产物。那么这样就产生了两个问题。 第一个问题,你不觉得“灵魂”所在的肉体更像是一个囚笼吗?“灵魂”可以偶尔窥探外界,但无法做任何事情,只能默默得看着一切发生。尴尬的以为是自己做的,实际上就像看电影,每次看电影的时候,我都会以为我处在电影里面的世界。而现实就是,因为“灵魂”只能看肉体主演的这部“电影”,所以看的入迷了。其实,人类从解放双手,开发智力,使用工具,到探索宇宙,最大的进步莫过于发现自己其实仍处于囚笼之中。要怪就怪这囚笼建造地太过美好。而创建这一囚笼的“上帝”,把我们关在肉体这个囚笼里面,并且把我们的感知限制在有限的范围内,有限的嗅觉,16至20000赫兹的听觉,400纳米到700纳米的视觉,在感知中隔绝了我们对我们的唯一存在——“灵魂”的感知。 第二个问题,对于自己本身来说,表征自己存在的“灵魂”自己是可以确定的,而对于其他人,因为限制了对“灵魂”的感知,所以无法确认别人,别的生物体内这一旁观者的存在。也可以这么理解,你知道自己被关在一间囚笼里面,而不知道隔壁囚笼是否也关了一个存在。那么世界这个大监狱里面,可能只有一小部分,甚至只有你一个孤独的存在。而究竟为何我们或我被困于此,我不得而知,可能就像我们做研究的时候的小白鼠一样,“上帝”也在观察着我们或我的一举一动,这也是我这篇文章取这个题目的原因。小白鼠的逆袭,一开始我只是平凡的活着,说实在的其实做一个平凡人安安稳稳的一生还是很不错的,但是知道了这个囚笼的存在,就总想着打破它,因为在想到可能只有自己一个存在的时候,会是多么的孤独。就像一个人去看电影,哪怕电影的内容再精彩,再引人入胜,但当电影结束的时候,你才发现,原来我是一个人来的呀。 联系作者 有志向联系读者的:1612860@mail.nankai.edu.cn 未完待续。。。 本篇文章相当于《小白鼠的逆袭》的导读,下一篇我会出逆袭第一步:《思考的最简单模型及其编程实现》,可能用C++,也可能用Java,Python,看作者的心情吧。预计近几个月出吧,快则个把月,多则不知道了,毕竟作者本身还是比较忙的,忙七忙八也不知道在忙什么,嗯,就这样。 小号:在有多个游戏账号的前提下,等级高的号叫作大号,等级较低或者新创建的号叫作小号。 ↩︎ https://baijiahao.baidu.com/s?id=1586028525096880374&wfr=spider&for=pc. ↩︎ http://tieba.baidu.com/p/5127924201. ↩︎ http://tieba.baidu.com/p/5127924201. ↩︎ http://www.lwlm.com/sixiangzhexue/201704/840820.htm. ↩︎ 详细讨论请参见:《未来简史:从智人到智神》第三章:人类的特质。 ↩︎ “Unconscious determinants of free decisions in the human brain” in nature neuroscience, http://www.rifters.com/real/articles/NatureNeuroScience_Soon_et_al.pdf. ↩︎ 本篇文章为转载内容。原文链接:https://blog.csdn.net/qq_39384184/article/details/79288150。 该文由互联网用户投稿提供,文中观点代表作者本人意见,并不代表本站的立场。 作为信息平台,本站仅提供文章转载服务,并不拥有其所有权,也不对文章内容的真实性、准确性和合法性承担责任。 如发现本文存在侵权、违法、违规或事实不符的情况,请及时联系我们,我们将第一时间进行核实并删除相应内容。
2023-01-02 11:30:59
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...杀商品显示 1、使用生成器生成对应的表 记得在每个mapper类加入注解供spring扫描: @Repository 2、后端写得到秒杀商品的方法 ①、建实体类vo 用于连表查询,得到商品名字 package com.example.seckill.vo;import com.example.seckill.pojo.SeckillGoods;import lombok.Data;@Datapublic class SeckillGoodsVo extends SeckillGoods {private String goodsName;} ②、在SexkillGoodsMapper.xml文件中定义sql <?xml version="1.0" encoding="UTF-8"?><!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd"><mapper namespace="com.example.seckill.mapper.SeckillGoodsMapper"><select id="queryAll" resultType="com.example.seckill.vo.SeckillGoodsVo">select sg.,g.goods_namefrom t_seckill_goods sg,t_goods gwhere sg.goods_id = g.gid;</select></mapper> ③、在mapper中定义 package com.example.seckill.mapper;import com.example.seckill.pojo.SeckillGoods;import com.baomidou.mybatisplus.core.mapper.BaseMapper;import com.example.seckill.vo.SeckillGoodsVo;import org.springframework.stereotype.Repository;import java.util.List;/ <p> 秒杀商品信息表 Mapper 接口 </p> @author lv @since 2022-03-19/@Repositorypublic interface SeckillGoodsMapper extends BaseMapper<SeckillGoods> {List<SeckillGoodsVo> queryAll();} ④、service层与controller层 service: ISeckillGoodsService: package com.example.seckill.service;import com.example.seckill.pojo.SeckillGoods;import com.baomidou.mybatisplus.extension.service.IService;import com.example.seckill.util.response.ResponseResult;import com.example.seckill.vo.SeckillGoodsVo;import java.util.List;/ <p> 秒杀商品信息表 服务类 </p> @author lv @since 2022-03-19/public interface ISeckillGoodsService extends IService<SeckillGoods> {ResponseResult<List<SeckillGoodsVo>> queryAll();} SeckillGoodsServiceImpl: package com.example.seckill.service.impl;import com.example.seckill.pojo.SeckillGoods;import com.example.seckill.mapper.SeckillGoodsMapper;import com.example.seckill.service.ISeckillGoodsService;import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;import com.example.seckill.util.response.ResponseResult;import com.example.seckill.vo.SeckillGoodsVo;import org.springframework.beans.factory.annotation.Autowired;import org.springframework.stereotype.Service;import java.util.List;/ <p> 秒杀商品信息表 服务实现类 </p> @author lv @since 2022-03-19/@Servicepublic class SeckillGoodsServiceImpl extends ServiceImpl<SeckillGoodsMapper, SeckillGoods> implements ISeckillGoodsService {@Autowiredprivate SeckillGoodsMapper seckillGoodsMapper;@Overridepublic ResponseResult<List<SeckillGoodsVo>> queryAll() {List<SeckillGoodsVo> list= seckillGoodsMapper.queryAll();return ResponseResult.success(list);} } controller: SeckillGoodsController: package com.example.seckill.controller;import com.example.seckill.service.ISeckillGoodsService;import com.example.seckill.util.response.ResponseResult;import com.example.seckill.vo.SeckillGoodsVo;import org.springframework.beans.factory.annotation.Autowired;import org.springframework.web.bind.annotation.RequestMapping;import org.springframework.web.bind.annotation.RestController;import java.util.List;/ <p> 秒杀商品信息表 前端控制器 </p> @author lv @since 2022-03-19/@RestController@RequestMapping("/seckillGoods")public class SeckillGoodsController {@Autowiredprivate ISeckillGoodsService seckillGoodsService;@RequestMapping("/queryAll")public ResponseResult<List<SeckillGoodsVo>> queryAll(){return seckillGoodsService.queryAll();} } 得到秒杀商品数据: 3、前端显示数据 ①、编辑跳转秒杀界面 goodList.ftl: <!DOCTYPE html><html lang="en"><head><include "../common/head.ftl"><style>.layui-this{background: deepskyblue !important;}</style></head><body class="layui-container layui-bg-orange"><div class="layui-tab"><ul class="layui-tab-title"><li class="layui-this">普通商品</li><li>秒杀商品</li></ul><-- 普通商品--><div class="layui-tab-content"><div class="layui-tab-item layui-show"><div class="layui-form-item"><label class="layui-form-label">搜索栏</label><div class="layui-input-inline"><input type="text" id="normal_name" name="text" placeholder="请输入搜索内容" class="layui-input"></div><div class="layui-input-inline"><button class="layui-btn layui-btn-primary" id="normal_search">🔍</button><button class="layui-btn layui-btn-primary" id="normal_add">增加</button></div></div><table id="normal_goods" lay-filter="normal_goods"></table><script type="text/html" id="button_1"><a class="layui-btn layui-btn-xs" lay-event="normal_del">删除</a><a class="layui-btn layui-btn-xs" lay-event="normal_edit">编辑</a></script></div><--秒杀界面--><div class="layui-tab-item"><div class="layui-form-item"><label class="layui-form-label">搜索栏</label><div class="layui-input-inline"><input type="text" id="seckill_name" name="text" placeholder="请输入搜索内容" class="layui-input"></div><div class="layui-input-inline"><button class="layui-btn layui-btn-primary" id="seckill_search">🔍</button><button class="layui-btn layui-btn-primary" id="seckill_add">增加</button></div></div><table id="seckill_goods" lay-filter="seckill_goods"></table></div></div></div></div><--引入js--><script src="/static/asset/js/project/goodsList.js"></script></body></html> ②、获取数据 goodList.js: // 秒杀商品let seckill_table=table.render({elem: 'seckill_goods',height: 500,url: '/seckillGoods/queryAll' //数据接口,parseData(res){ //res 即为原始返回的数据return {"code": res.code===200?0:1, //解析接口状态"msg": res.message, //解析提示文本"count": res.total, //解析数据长度"data": res.data //解析数据列表};},cols: [[ //表头{field: 'id', title: '秒杀商品编号', width:80, sort: true},{field: 'goodsId', title: '商品名字id'},{field: 'seckillPrice', title: '秒杀价格'},{field: 'stockCount', title: '秒杀库存'},{field: 'startDate', title: '活动开始时间'},{field: 'endDate', title: '活动结束时间'},{field: 'goodsName', title: '商品名称'}]]}); 呈现界面: 二、秒杀商品添加 1、后端:接收前端添加秒杀商品的数据 ①、实体类vo:SeckillGoodsVo private List<Map<String,Object>> goods; 修改实体类时间的类型:SeckillGoods @ApiModelProperty("秒杀开始时间")@TableField("start_date")@DateTimeFormat(pattern = "yyyy-MM-dd HH:mm:ss")private Timestamp startDate;@ApiModelProperty("秒杀结束时间")@TableField("end_date")@DateTimeFormat(pattern = "yyyy-MM-dd HH:mm:ss")private Timestamp endDate; ②、mapper层:SeckillGoodsMapper int addGoods(SeckillGoodsVo seckillGoodsVo); ③、mapper.xml层:SeckillGoodsMapper 批量插入秒杀商品的sql语句: <insert id="addGoods">insert into t_seckill_goods(goods_id, seckill_price, stock_count, start_date, end_date)values<foreach collection="goods" item="g" separator=",">({g.gid},{g.goodsPrice},{g.goodsStock},{startDate},{endDate})</foreach></insert> ④、service层 ISeckillGoodsService: ResponseResult<List<SeckillGoodsVo>> addGoods(SeckillGoodsVo seckillGoodsVo); SeckillGoodsServiceImpl: @Overridepublic ResponseResult<List<SeckillGoodsVo>> addGoods(SeckillGoodsVo seckillGoodsVo) {int goods=seckillGoodsMapper.addGoods(seckillGoodsVo);return ResponseResult.success(goods);} ⑤、controller层 @RequestMapping("/add")public ResponseResult<List<SeckillGoodsVo>> add(@RequestBody SeckillGoodsVo seckillGoodsVo){return seckillGoodsService.addGoods(seckillGoodsVo);} 2、前端 ①、定义数据与刷新、添加 goodsList.js: var layer,row,seckill_table// 添加秒杀商品$("seckill_add").click(()=>{layer.open({type:2,content: '/goods/SeckillGoodsOperate',area: ['800px','600px']})})// 秒杀商品刷新var seckill_reload = ()=> {seckill_table.reload({page:{curr:1 //current} });} var layer,row,seckill_tablelayui.define(()=>{let table=layui.tablelayer=layui.layerlet $=layui.jquerylet normal_table=table.render({elem: 'normal_goods',height: 500,url: '/goods/queryAll' //数据接口,page: true //开启分页,parseData(res){ //res 即为原始返回的数据return {"code": res.code===200?0:1, //解析接口状态"msg": res.message, //解析提示文本"count": res.total, //解析数据长度"data": res.data //解析数据列表};},//用于对分页请求的参数:page、limit重新设定名称request: {pageName: 'page' //页码的参数名称,默认:page,limitName: 'rows' //每页数据量的参数名,默认:limit},cols: [[ //表头{field: 'gid', title: '商品编号', width:80, sort: true, fixed: 'left'},{field: 'goodsName', title: '商品名字'},{field: 'goodsTitle', title: '商品标题'},{field: 'goodsImg',title: '商品图片',width:200,templet: (goods) => <b onmouseover='showImg("${goods.goodsImg}",this)'> + goods.goodsImg + </b> },{field: 'goodsDetail', title: '商品详情'},{field: 'goodsPrice', title: '商品价格', sort: true},{field: 'goodsStock', title: '商品库存', sort: true},{field: 'operate', title: '商品操作',toolbar: 'button_1'}]]});// 刷新表格let reloadTable=()=>{let goodsName=$("normal_value").val()// 【JS】自动化渲染的重载,重载表格normal_table.reload({where: {//设定异步数据接口的额外参数,height: 300goodsName},page:{curr:1 //current} });}// 搜索$("normal_search").click(reloadTable)// 增加$("normal_add").click(()=>{row = nullopenDialog()})//工具条事件table.on('tool(normal_goods)', function(obj) { //注:tool 是工具条事件名,test 是 table 原始容器的属性 lay-filter="对应的值"let data = obj.data; //获得当前行数据let layEvent = obj.event; //获得 lay-event 对应的值(也可以是表头的 event 参数对应的值)let tr = obj.tr; //获得当前行 tr 的 DOM 对象(如果有的话)if (layEvent === 'normal_del') { //删除row = data//获得当前行的数据let url="/goods/del/"+data.gidlayer.confirm('确定删除吗?',{title:'删除'}, function(index){//向服务端发送删除指令og$.getJSON(url,{gid:data.gid}, function(ret){layer.close(index);//关闭弹窗reloadTable()});layer.close(index);//关闭弹窗});}if (layEvent === 'normal_edit') { //编辑row = dataopenDialog()} })// 页面弹出let openDialog=()=>{// 如果是iframe层layer.open({type: 2,content: '/goods/goodsOperate', //这里content是一个URL,如果你不想让iframe出现滚动条,你还可以content: ['http://sentsin.com', 'no']area:['800px','600px'],btn: ['确定','取消'],yes(index,layero){let url="/goods/insert"// 拿到表格数据let data=$(layero).find("iframe")[0].contentWindow.getFormData()if(row) {url="/goods/edit"}$.ajax({url,data,datatype: "json",success(res){layer.closeAll()reloadTable()layer.msg(res.message)} })} });}// -------------------------秒杀商品-------------------------------------------seckill_table=table.render({elem: 'seckill_goods',height: 500,url: '/seckillGoods/queryAll' //数据接口,parseData(res){ //res 即为原始返回的数据return {"code": res.code===200?0:1, //解析接口状态"msg": res.message, //解析提示文本"count": res.total, //解析数据长度"data": res.data //解析数据列表};},cols: [[ //表头{field: 'id', title: '秒杀商品编号', width:80, sort: true},{field: 'goodsId', title: '商品名字id'},{field: 'seckillPrice', title: '秒杀价格'},{field: 'stockCount', title: '秒杀库存'},{field: 'startDate', title: '活动开始时间'},{field: 'endDate', title: '活动结束时间'},{field: 'goodsName', title: '商品名称'}]]});// 添加秒杀商品$("seckill_add").click(()=>{layer.open({type:2,content: '/goods/SeckillGoodsOperate',area: ['800px','600px']})})})// 图片显示let showImg = (src,obj)=> {layer.tips(<img src="${src}" width="100px">, obj);}// 秒杀商品刷新var seckill_reload = ()=> {seckill_table.reload({page:{curr:1 //current} });} ②、增加秒杀商品弹出页面样式 <!DOCTYPE html><html lang="en"><head><meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1"><link rel="stylesheet" href="/static/asset/js/layui/css/layui.css" media="all"></head><body><div style="padding:15px 0px;"><div class="layui-condition"><form id="fm" name="fm" action="/" method="post" class="layui-form"><div class="layui-form-item"><div class="layui-inline"><label class="layui-form-label" style="width: 100px;text-align: left;">秒杀活动时间:</label><div class="layui-input-inline" style="width:280px;"><input type="text" class="layui-input" id="dt"></div><div class="layui-input-inline"><button class="layui-btn" id="btn_save" type="button"><i class="fa fa-search fa-right"></i>保 存</button></div></div></div></form></div><div class="layui-fluid" style="margin-top:-18px;"><table id="tb_goods" class="layui-table" lay-filter="tb_goods" style="margin-top:-5px;"></table></div></div><script src="/static/asset/js/layui/layui.js"></script><script src="/static/asset/js/project/seckillGoodsOperate.js"></script></body></html> ③、实现增加秒杀商品 seckillGoodsOperate.js: layui.define(()=>{let table=layui.tablelet laydate = layui.laydatelet $=layui.jquerylet layer=layui.layer// 读取普通商品table.render({elem: 'tb_goods',height: 500,url: '/goods/queryAll' //数据接口,page: true //开启分页,parseData(res){ //res 即为原始返回的数据return {"code": res.code===200?0:1, //解析接口状态"msg": res.message, //解析提示文本"count": res.total, //解析数据长度"data": res.data //解析数据列表};},//用于对分页请求的参数:page、limit重新设定名称request: {pageName: 'page' //页码的参数名称,默认:page,limitName: 'rows' //每页数据量的参数名,默认:limit},cols: [[ //表头// 全选按钮{field: '', type:"checkbox"},{field: 'gid', title: '商品编号', width:80},{field: 'goodsName', title: '商品名字'},{field: 'goodsTitle', title: '商品标题'},{field: 'goodsDetail', title: '商品详情'},{field: 'goodsPrice', title: '商品价格', sort: true},{field: 'goodsStock', title: '商品库存', sort: true}]]});// 构建时间选择器//执行一个laydate实例laydate.render({elem: 'dt', //指定元素type: "datetime",range: "~"});$("btn_save").click(()=>{// 获取时间let val=$("dt").val()if(!val){layer.msg("请选择时间")return}// 解析时间2022-2-2 ~2022-5-2let startDate=new Date(val.split("~")[0]).getTime()let endDate=new Date(val.split("~")[1]).getTime()// 获得选中的普通商品,获取选中行的数据let rows= table.checkStatus('tb_goods').data; //idTest 即为基础参数 id 对应的值if(!rows||rows.length===0){layer.msg("请选择数据")return}layer.prompt(function(value, index, elem){// 修改每个商品的数量rows.forEach(e=>{e.goodsStock=value})let data={startDate,endDate,goods:rows}// 访问后台的秒杀商品的接口$.ajax({url: "/seckillGoods/add",contentType:'application/json',data: JSON.stringify(data),datatype:"json",//返回类型type:"post",success(res){parent.seckill_reload()layer.closeAll()parent.layer.closeAll()layer.msg(res.message)} })});})}) ④、展示结果 增加成功: 三、秒杀商品的操作 1、后端操作秒杀单个商品详情 ①、mapper层 SeckillGoodsMapper: Map<String,Object> querySeckillGoodsById(Long id); mapper.xml文件:SeckillGoodsMapper.xml <select id="querySeckillGoodsById" resultType="map">select sg.id,sg.goods_id,sg.seckill_price,sg.stock_count,sg.start_date,sg.end_date,g.goods_img,g.goods_title,g.goods_detail,g.goods_name,(casewhen current_timestamp < sg.start_date then 0when (current_timestamp between sg.start_date and sg.end_date) then 1when current_timestamp > sg.end_date then 2end) goods_statusfrom t_goods g,t_seckill_goods sgwhere g.gid = sg.goods_idand sg.id = {0}</select> ②、service层 ISeckillGoodsService: Map<String,Object> querySeckillGoodsById(Long id); SeckillGoodsServiceImpl: @Overridepublic Map<String, Object> querySeckillGoodsById(Long id) {return seckillGoodsMapper.querySeckillGoodsById(id);} ③、controller层:SeckillGoodsController package com.example.seckill.controller;import com.example.seckill.service.ISeckillGoodsService;import com.example.seckill.util.response.ResponseResult;import com.example.seckill.vo.SeckillGoodsVo;import org.springframework.beans.factory.annotation.Autowired;import org.springframework.stereotype.Controller;import org.springframework.web.bind.annotation.;import org.springframework.web.servlet.ModelAndView;import java.util.List;/ <p> 秒杀商品信息表 前端控制器 </p> @author lv @since 2022-03-19/@Controller@RequestMapping("/seckillGoods")public class SeckillGoodsController {@Autowiredprivate ISeckillGoodsService seckillGoodsService;// 返回json@ResponseBody@RequestMapping("/queryAll")public ResponseResult<List<SeckillGoodsVo>> queryAll(){return seckillGoodsService.queryAll();}@ResponseBody@RequestMapping("/add")public ResponseResult<List<SeckillGoodsVo>> add(@RequestBody SeckillGoodsVo seckillGoodsVo){return seckillGoodsService.addGoods(seckillGoodsVo);}// 正常跳转界面@RequestMapping("/query/{id}")public ModelAndView querySeckillGoodsById(@PathVariable("id") Long id) {ModelAndView mv = new ModelAndView("/goods/goodsSeckill");mv.addObject("goods", seckillGoodsService.querySeckillGoodsById(id));return mv;} } 2、前端展示 ①、在goodsList.js增加列的操作 {field: '', title: '操作', width: 140,templet: function (d) {return <div><a class="layui-btn layui-btn-xs layui-btn-danger">删除</a><a href="/seckillGoods/query/${d.id}" class="layui-btn layui-btn-xs layui-btn-normal">秒杀</a></div>;} } ②、添加秒杀详情界面 :goodsSkill.ftl <!DOCTYPE html><html lang="en"><head><include "../common/head.ftl"/></head><body><table style="position: absolute;top:-10px;" class="layui-table" border="1" cellpadding="0" cellspacing="0"><tr><td style="width:120px;">商品图片</td><td><img src="${goods['goods_img']}" alt=""></td></tr><tr><td>商品名称</td><td>${goods['goods_name']}</td></tr><tr><td>商品标题</td><td>${goods['goods_title']}</td></tr><tr><td>商品价格</td><td>${goods['seckill_price']}</td></tr><tr><td>开始时间</td><td><div style="position: relative;${(goods['goods_status']==1)?string('top:10px;','')}">${goods['start_date']?string("yyyy-MM-dd HH:mm:ss")}-${goods['end_date']?string("yyyy-MM-dd HH:mm:ss")}<if goods['goods_status']==0>活动未开始<elseif goods['goods_status']==1>活动热卖中<div style="position:relative;top:-10px;float:right;"><input type="hidden" id="goodsId" value="${goods['goods_id']}" name="goodsId"/><button class="layui-btn" id="buy">立即抢购</button></div><else>活动已结束</if></div></td></tr></table><script src="/static/asset/js/project/goodsSeckill.js"></script></body></html> ③、实现:goodsSkill.js let layer, form, $;layui.define(() => {layer = layui.layerform = layui.form$ = layui.jquery$('buy').click(() => {$.ajax({url: '/seckillOrder/addOrder',data: {goodsId: $('goodsId').val()},dataType: 'json',type: 'post',async: false,success: function (rs) {if (rs.code === 200)layer.msg(rs.message)elselayer.msg(rs.message)} })});}) ④、展示效果 点击秒杀: 3、后端操作秒杀抢购功能 ①、导入雪花id工具包:SnowFlake package com.example.seckill.util;@SuppressWarnings("all")public class SnowFlake {/ 起始的时间戳/private final static long START_STMP = 1480166465631L;/ 每一部分占用的位数/private final static long SEQUENCE_BIT = 12; //序列号占用的位数private final static long MACHINE_BIT = 5; //机器标识占用的位数private final static long DATACENTER_BIT = 5;//数据中心占用的位数/ 每一部分的最大值/private final static long MAX_DATACENTER_NUM = -1L ^ (-1L << DATACENTER_BIT);private final static long MAX_MACHINE_NUM = -1L ^ (-1L << MACHINE_BIT);private final static long MAX_SEQUENCE = -1L ^ (-1L << SEQUENCE_BIT);/ 每一部分向左的位移/private final static long MACHINE_LEFT = SEQUENCE_BIT;private final static long DATACENTER_LEFT = SEQUENCE_BIT + MACHINE_BIT;private final static long TIMESTMP_LEFT = DATACENTER_LEFT + DATACENTER_BIT;private long datacenterId; //数据中心private long machineId; //机器标识private long sequence = 0L; //序列号private long lastStmp = -1L;//上一次时间戳public SnowFlake(long datacenterId, long machineId) {if (datacenterId > MAX_DATACENTER_NUM || datacenterId < 0) {throw new IllegalArgumentException("datacenterId can't be greater than MAX_DATACENTER_NUM or less than 0");}if (machineId > MAX_MACHINE_NUM || machineId < 0) {throw new IllegalArgumentException("machineId can't be greater than MAX_MACHINE_NUM or less than 0");}this.datacenterId = datacenterId;this.machineId = machineId;}public static void main(String[] args) {SnowFlake snowFlake = new SnowFlake(2, 3);long start = System.currentTimeMillis();for (int i = 0; i < 1000000; i++) {System.out.println(snowFlake.nextId());}System.out.println(System.currentTimeMillis() - start);}/ 产生下一个ID @return/public synchronized long nextId() {long currStmp = getNewstmp();if (currStmp < lastStmp) {throw new RuntimeException("Clock moved backwards. Refusing to generate id");}if (currStmp == lastStmp) {//相同毫秒内,序列号自增sequence = (sequence + 1) & MAX_SEQUENCE;//同一毫秒的序列数已经达到最大if (sequence == 0L) {currStmp = getNextMill();} } else {//不同毫秒内,序列号置为0sequence = 0L;}lastStmp = currStmp;return (currStmp - START_STMP) << TIMESTMP_LEFT //时间戳部分| datacenterId << DATACENTER_LEFT //数据中心部分| machineId << MACHINE_LEFT //机器标识部分| sequence; //序列号部分}private long getNextMill() {long mill = getNewstmp();while (mill <= lastStmp) {mill = getNewstmp();}return mill;}private long getNewstmp() {return System.currentTimeMillis();} } ②、service层 ISeckillOrderService : package com.example.seckill.service;import com.example.seckill.pojo.SeckillOrder;import com.baomidou.mybatisplus.extension.service.IService;import com.example.seckill.pojo.User;import com.example.seckill.util.response.ResponseResult;/ <p> 秒杀订单信息表 服务类 </p> @author lv @since 2022-03-19/public interface ISeckillOrderService extends IService<SeckillOrder> {ResponseResult<?> addOrder(Long goodsId, User user);} SeckillOrderServiceImpl : package com.example.seckill.service.impl;import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;import com.baomidou.mybatisplus.core.conditions.update.UpdateWrapper;import com.example.seckill.exception.BusinessException;import com.example.seckill.mapper.GoodsMapper;import com.example.seckill.mapper.OrderMapper;import com.example.seckill.mapper.SeckillGoodsMapper;import com.example.seckill.pojo.;import com.example.seckill.mapper.SeckillOrderMapper;import com.example.seckill.service.ISeckillOrderService;import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;import com.example.seckill.util.SnowFlake;import com.example.seckill.util.response.ResponseResult;import com.example.seckill.util.response.ResponseResultCode;import org.springframework.beans.factory.annotation.Autowired;import org.springframework.stereotype.Service;import org.springframework.transaction.annotation.Transactional;/ <p> 秒杀订单信息表 服务实现类 </p> @author lv @since 2022-03-19/@Servicepublic class SeckillOrderServiceImpl extends ServiceImpl<SeckillOrderMapper, SeckillOrder> implements ISeckillOrderService {@Autowiredprivate SeckillGoodsMapper seckillGoodsMapper;@Autowiredprivate GoodsMapper goodsMapper;@Autowiredprivate OrderMapper orderMapper;@Transactional(rollbackFor = Exception.class)@Overridepublic ResponseResult<?> addOrder(Long goodsId, User user) {// 下单前判断库存数SeckillGoods goods = seckillGoodsMapper.selectOne(new QueryWrapper<SeckillGoods>().eq("goods_id", goodsId));if (goods == null) {throw new BusinessException(ResponseResultCode.SECKILL_ORDER_ERROR);}if (goods.getStockCount() < 1) {throw new BusinessException(ResponseResultCode.SECKILL_ORDER_ERROR);}// 限购SeckillOrder one = this.getOne(new QueryWrapper<SeckillOrder>().eq("user_id", user.getId()).eq("goods_id", goodsId));if (one != null) {throw new BusinessException(ResponseResultCode.SECKILL_ORDER_EXISTS_ERROR);}// 库存减一int i = seckillGoodsMapper.update(null, new UpdateWrapper<SeckillGoods>().eq("goods_id", goodsId).setSql("stock_count=stock_count-1"));// 根据商品编号查询对应的商品(拿名字)Goods goodsInfo = goodsMapper.selectOne(new QueryWrapper<Goods>().eq("gid", goodsId));// 生成订单//生成雪花idSnowFlake snowFlake = new SnowFlake(5, 9);long id = snowFlake.nextId();//生成对应的订单Order normalOrder = new Order();normalOrder.setOid(id);normalOrder.setUserId(user.getId());normalOrder.setGoodsId(goodsId);normalOrder.setGoodsName(goodsInfo.getGoodsName());normalOrder.setGoodsCount(1);normalOrder.setGoodsPrice(goods.getSeckillPrice());orderMapper.insert(normalOrder);//生成秒杀订单SeckillOrder seckillOrder = new SeckillOrder();seckillOrder.setUserId(user.getId());seckillOrder.setOrderId(normalOrder.getOid());seckillOrder.setGoodsId(goodsId);this.save(seckillOrder);return ResponseResult.success();} } ③、controller层 SeckillOrderController : package com.example.seckill.controller;import com.example.seckill.pojo.User;import com.example.seckill.service.ISeckillOrderService;import com.example.seckill.util.response.ResponseResult;import org.springframework.beans.factory.annotation.Autowired;import org.springframework.web.bind.annotation.RequestMapping;import org.springframework.web.bind.annotation.RestController;/ <p> 秒杀订单信息表 前端控制器 </p> @author lv @since 2022-03-19/@RestController@RequestMapping("/seckillOrder")public class SeckillOrderController {@Autowiredprivate ISeckillOrderService seckillOrderService;@RequestMapping("/addOrder")public ResponseResult<?> addOrder(Long goodsId, User user){return seckillOrderService.addOrder(goodsId,user);} } ④、呈现结果 限购次数: 本期内容结束,下期内容更完善!!!!!!!!!!!!!!!!!!!!!1 本篇文章为转载内容。原文链接:https://blog.csdn.net/weixin_60389087/article/details/123601288。 该文由互联网用户投稿提供,文中观点代表作者本人意见,并不代表本站的立场。 作为信息平台,本站仅提供文章转载服务,并不拥有其所有权,也不对文章内容的真实性、准确性和合法性承担责任。 如发现本文存在侵权、违法、违规或事实不符的情况,请及时联系我们,我们将第一时间进行核实并删除相应内容。
2023-02-25 23:20:34
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...下的适应性及精度提升策略,提出了一种结合深度学习算法进行谱线解卷积和背景扣除的新方法,有望进一步提高LIBS-LIF在实际环境监测中的准确性和可靠性。 综上所述,LIBS-LIF技术作为前沿的元素分析手段,在环境监测方面的潜力正逐渐被挖掘并广泛应用,未来将在更广泛的环境污染治理、生态保护以及环境风险评估等领域发挥重要作用。
2023-08-13 12:41:47
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...入点 分析查询语句,生成执行计划 多个数据节点(DataNode) 实际的数据存储 数据自动打散分布到集群中各数据节点 本地执行查询 一个查询在所有相关节点上并行查询 全局事务管理器(GTM:Global Transaction Manager) 提供事务间一致性视图 部署GTM Proxy实例,以提高性能 Postgre-XL主要组件 GTM (Global Transaction Manager) - 全局事务管理器 GTM是Postgres-XL的一个关键组件,用于提供一致的事务管理和元组可见性控制。 GTM Standby GTM的备节点,在pgxc,pgxl中,GTM控制所有的全局事务分配,如果出现问题,就会导致整个集群不可用,为了增加可用性,增加该备用节点。当GTM出现问题时,GTM Standby可以升级为GTM,保证集群正常工作。 GTM-Proxy GTM需要与所有的Coordinators通信,为了降低压力,可以在每个Coordinator机器上部署一个GTM-Proxy。 Coordinator --协调器 协调器是应用程序到数据库的接口。它的作用类似于传统的PostgreSQL后台进程,但是协调器不存储任何实际数据。实际数据由数据节点存储。协调器接收SQL语句,根据需要获取全局事务Id和全局快照,确定涉及哪些数据节点,并要求它们执行(部分)语句。当向数据节点发出语句时,它与GXID和全局快照相关联,以便多版本并发控制(MVCC)属性扩展到集群范围。 Datanode --数据节点 用于实际存储数据。表可以分布在各个数据节点之间,也可以复制到所有数据节点。数据节点没有整个数据库的全局视图,它只负责本地存储的数据。接下来,协调器将检查传入语句,并制定子计划。然后,根据需要将这些数据连同GXID和全局快照一起传输到涉及的每个数据节点。数据节点可以在不同的会话中接收来自各个协调器的请求。但是,由于每个事务都是惟一标识的,并且与一致的(全局)快照相关联,所以每个数据节点都可以在其事务和快照上下文中正确执行。 Postgres-XL继承了PostgreSQL Postgres-XL是PostgreSQL的扩展并继承了其很多特性: 复杂查询 外键 触发器 视图 事务 MVCC(多版本控制) 此外,类似于PostgreSQL,用户可以通过多种方式扩展Postgres-XL,例如添加新的 数据类型 函数 操作 聚合函数 索引类型 过程语言 安装 环境说明 由于资源有限,gtm一台、另外两台身兼数职。 主机名 IP 角色 端口 nodename 数据目录 gtm 192.168.20.132 GTM 6666 gtm /nodes/gtm 协调器 5432 coord1 /nodes/coordinator xl1 192.168.20.133 数据节点 5433 node1 /nodes/pgdata gtm代理 6666 gtmpoxy01 /nodes/gtm_pxy1 协调器 5432 coord2 /nodes/coordinator xl2 192.168.20.134 数据节点 5433 node2 /nodes/pgdata gtm代理 6666 gtmpoxy02 /nodes/gtm_pxy2 要求 GNU make版本 3.8及以上版本 [root@pg ~] make --versionGNU Make 3.82Built for x86_64-redhat-linux-gnuCopyright (C) 2010 Free Software Foundation, Inc.License GPLv3+: GNU GPL version 3 or later <http://gnu.org/licenses/gpl.html>This is free software: you are free to change and redistribute it.There is NO WARRANTY, to the extent permitted by law. 需安装GCC包 需安装tar包 用于解压缩文件 默认需要GNU Readline library 其作用是可以让psql命令行记住执行过的命令,并且可以通过键盘上下键切换命令。但是可以通过--without-readline禁用这个特性,或者可以指定--withlibedit-preferred选项来使用libedit 默认使用zlib压缩库 可通过--without-zlib选项来禁用 配置hosts 所有主机上都配置 [root@xl2 11] cat /etc/hosts127.0.0.1 localhost192.168.20.132 gtm192.168.20.133 xl1192.168.20.134 xl2 关闭防火墙、Selinux 所有主机都执行 关闭防火墙: [root@gtm ~] systemctl stop firewalld.service[root@gtm ~] systemctl disable firewalld.service selinux设置: [root@gtm ~]vim /etc/selinux/config 设置SELINUX=disabled,保存退出。 This file controls the state of SELinux on the system. SELINUX= can take one of these three values: enforcing - SELinux security policy is enforced. permissive - SELinux prints warnings instead of enforcing. disabled - No SELinux policy is loaded.SELINUX=disabled SELINUXTYPE= can take one of three two values: targeted - Targeted processes are protected, minimum - Modification of targeted policy. Only selected processes are protected. mls - Multi Level Security protection. 安装依赖包 所有主机上都执行 yum install -y flex bison readline-devel zlib-devel openjade docbook-style-dsssl gcc 创建用户 所有主机上都执行 [root@gtm ~] useradd postgres[root@gtm ~] passwd postgres[root@gtm ~] su - postgres[root@gtm ~] mkdir ~/.ssh[root@gtm ~] chmod 700 ~/.ssh 配置SSH免密登录 仅仅在gtm节点配置如下操作: [root@gtm ~] su - postgres[postgres@gtm ~] ssh-keygen -t rsa[postgres@gtm ~] cat ~/.ssh/id_rsa.pub >> ~/.ssh/authorized_keys[postgres@gtm ~] chmod 600 ~/.ssh/authorized_keys 将刚生成的认证文件拷贝到xl1到xl2中,使得gtm节点可以免密码登录xl1~xl2的任意一个节点: [postgres@gtm ~] scp ~/.ssh/authorized_keys postgres@xl1:~/.ssh/[postgres@gtm ~] scp ~/.ssh/authorized_keys postgres@xl2:~/.ssh/ 对所有提示都不要输入,直接enter下一步。直到最后,因为第一次要求输入目标机器的用户密码,输入即可。 下载源码 下载地址:https://www.postgres-xl.org/download/ [root@slave ~] ll postgres-xl-10r1.1.tar.gz-rw-r--r-- 1 root root 28121666 May 30 05:21 postgres-xl-10r1.1.tar.gz 编译、安装Postgres-XL 所有节点都安装,编译需要一点时间,最好同时进行编译。 [root@slave ~] tar xvf postgres-xl-10r1.1.tar.gz[root@slave ~] ./configure --prefix=/home/postgres/pgxl/[root@slave ~] make[root@slave ~] make install[root@slave ~] cd contrib/ --安装必要的工具,在gtm节点上安装即可[root@slave ~] make[root@slave ~] make install 配置环境变量 所有节点都要配置 进入postgres用户,修改其环境变量,开始编辑 [root@gtm ~]su - postgres[postgres@gtm ~]vi .bashrc --不是.bash_profile 在打开的文件末尾,新增如下变量配置: export PGHOME=/home/postgres/pgxlexport LD_LIBRARY_PATH=$PGHOME/lib:$LD_LIBRARY_PATHexport PATH=$PGHOME/bin:$PATH 按住esc,然后输入:wq!保存退出。输入以下命令对更改重启生效。 [postgres@gtm ~] source .bashrc --不是.bash_profile 输入以下语句,如果输出变量结果,代表生效 [postgres@gtm ~] echo $PGHOME 应该输出/home/postgres/pgxl代表生效 配置集群 生成pgxc_ctl.conf配置文件 [postgres@gtm ~] pgxc_ctl prepare/bin/bashInstalling pgxc_ctl_bash script as /home/postgres/pgxl/pgxc_ctl/pgxc_ctl_bash.ERROR: File "/home/postgres/pgxl/pgxc_ctl/pgxc_ctl.conf" not found or not a regular file. No such file or directoryInstalling pgxc_ctl_bash script as /home/postgres/pgxl/pgxc_ctl/pgxc_ctl_bash.Reading configuration using /home/postgres/pgxl/pgxc_ctl/pgxc_ctl_bash --home /home/postgres/pgxl/pgxc_ctl --configuration /home/postgres/pgxl/pgxc_ctl/pgxc_ctl.confFinished reading configuration. PGXC_CTL START Current directory: /home/postgres/pgxl/pgxc_ctl 配置pgxc_ctl.conf 新建/home/postgres/pgxc_ctl/pgxc_ctl.conf文件,编辑如下: 对着模板文件一个一个修改,否则会造成初始化过程出现各种神奇问题。 pgxcInstallDir=$PGHOMEpgxlDATA=$PGHOME/data pgxcOwner=postgres---- GTM Master -----------------------------------------gtmName=gtmgtmMasterServer=gtmgtmMasterPort=6666gtmMasterDir=$pgxlDATA/nodes/gtmgtmSlave=y Specify y if you configure GTM Slave. Otherwise, GTM slave will not be configured and all the following variables will be reset.gtmSlaveName=gtmSlavegtmSlaveServer=gtm value none means GTM slave is not available. Give none if you don't configure GTM Slave.gtmSlavePort=20001 Not used if you don't configure GTM slave.gtmSlaveDir=$pgxlDATA/nodes/gtmSlave Not used if you don't configure GTM slave.---- GTM-Proxy Master -------gtmProxyDir=$pgxlDATA/nodes/gtm_proxygtmProxy=y gtmProxyNames=(gtm_pxy1 gtm_pxy2) gtmProxyServers=(xl1 xl2) gtmProxyPorts=(6666 6666) gtmProxyDirs=($gtmProxyDir $gtmProxyDir) ---- Coordinators ---------coordMasterDir=$pgxlDATA/nodes/coordcoordNames=(coord1 coord2) coordPorts=(5432 5432) poolerPorts=(6667 6667) coordPgHbaEntries=(0.0.0.0/0)coordMasterServers=(xl1 xl2) coordMasterDirs=($coordMasterDir $coordMasterDir)coordMaxWALsernder=0 没设置备份节点,设置为0coordMaxWALSenders=($coordMaxWALsernder $coordMaxWALsernder) 数量保持和coordMasterServers一致coordSlave=n---- Datanodes ----------datanodeMasterDir=$pgxlDATA/nodes/dn_masterprimaryDatanode=xl1 主数据节点datanodeNames=(node1 node2)datanodePorts=(5433 5433) datanodePoolerPorts=(6668 6668) datanodePgHbaEntries=(0.0.0.0/0)datanodeMasterServers=(xl1 xl2)datanodeMasterDirs=($datanodeMasterDir $datanodeMasterDir)datanodeMaxWalSender=4datanodeMaxWALSenders=($datanodeMaxWalSender $datanodeMaxWalSender) 集群初始化,启动,停止 初始化 pgxc_ctl -c /home/postgres/pgxc_ctl/pgxc_ctl.conf init all 输出结果: /bin/bashInstalling pgxc_ctl_bash script as /home/postgres/pgxc_ctl/pgxc_ctl_bash.Installing pgxc_ctl_bash script as /home/postgres/pgxc_ctl/pgxc_ctl_bash.Reading configuration using /home/postgres/pgxc_ctl/pgxc_ctl_bash --home /home/postgres/pgxc_ctl --configuration /home/postgres/pgxc_ctl/pgxc_ctl.conf/home/postgres/pgxc_ctl/pgxc_ctl.conf: line 189: $coordExtraConfig: ambiguous redirectFinished reading configuration. PGXC_CTL START Current directory: /home/postgres/pgxc_ctlStopping all the coordinator masters.Stopping coordinator master coord1.Stopping coordinator master coord2.pg_ctl: directory "/home/postgres/pgxc/nodes/coord/coord1" does not existpg_ctl: directory "/home/postgres/pgxc/nodes/coord/coord2" does not existDone.Stopping all the datanode masters.Stopping datanode master datanode1.Stopping datanode master datanode2.pg_ctl: PID file "/home/postgres/pgxc/nodes/datanode/datanode1/postmaster.pid" does not existIs server running?Done.Stop GTM masterwaiting for server to shut down.... doneserver stopped[postgres@gtm ~]$ echo $PGHOME/home/postgres/pgxl[postgres@gtm ~]$ ll /home/postgres/pgxl/pgxc/nodes/gtm/gtm.^C[postgres@gtm ~]$ pgxc_ctl -c /home/postgres/pgxc_ctl/pgxc_ctl.conf init all/bin/bashInstalling pgxc_ctl_bash script as /home/postgres/pgxc_ctl/pgxc_ctl_bash.Installing pgxc_ctl_bash script as /home/postgres/pgxc_ctl/pgxc_ctl_bash.Reading configuration using /home/postgres/pgxc_ctl/pgxc_ctl_bash --home /home/postgres/pgxc_ctl --configuration /home/postgres/pgxc_ctl/pgxc_ctl.conf/home/postgres/pgxc_ctl/pgxc_ctl.conf: line 189: $coordExtraConfig: ambiguous redirectFinished reading configuration. PGXC_CTL START Current directory: /home/postgres/pgxc_ctlInitialize GTM masterERROR: target directory (/home/postgres/pgxc/nodes/gtm) exists and not empty. Skip GTM initilializationDone.Start GTM masterserver startingInitialize all the coordinator masters.Initialize coordinator master coord1.ERROR: target coordinator master coord1 is running now. Skip initilialization.Initialize coordinator master coord2.The files belonging to this database system will be owned by user "postgres".This user must also own the server process.The database cluster will be initialized with locale "en_US.UTF-8".The default database encoding has accordingly been set to "UTF8".The default text search configuration will be set to "english".Data page checksums are disabled.fixing permissions on existing directory /home/postgres/pgxc/nodes/coord/coord2 ... okcreating subdirectories ... okselecting default max_connections ... 100selecting default shared_buffers ... 128MBselecting dynamic shared memory implementation ... posixcreating configuration files ... okrunning bootstrap script ... okperforming post-bootstrap initialization ... creating cluster information ... oksyncing data to disk ... okfreezing database template0 ... okfreezing database template1 ... okfreezing database postgres ... okWARNING: enabling "trust" authentication for local connectionsYou can change this by editing pg_hba.conf or using the option -A, or--auth-local and --auth-host, the next time you run initdb.Success.Done.Starting coordinator master.Starting coordinator master coord1ERROR: target coordinator master coord1 is already running now. Skip initialization.Starting coordinator master coord22019-05-30 21:09:25.562 EDT [2148] LOG: listening on IPv4 address "0.0.0.0", port 54322019-05-30 21:09:25.562 EDT [2148] LOG: listening on IPv6 address "::", port 54322019-05-30 21:09:25.563 EDT [2148] LOG: listening on Unix socket "/tmp/.s.PGSQL.5432"2019-05-30 21:09:25.601 EDT [2149] LOG: database system was shut down at 2019-05-30 21:09:22 EDT2019-05-30 21:09:25.605 EDT [2148] LOG: database system is ready to accept connections2019-05-30 21:09:25.612 EDT [2156] LOG: cluster monitor startedDone.Initialize all the datanode masters.Initialize the datanode master datanode1.Initialize the datanode master datanode2.The files belonging to this database system will be owned by user "postgres".This user must also own the server process.The database cluster will be initialized with locale "en_US.UTF-8".The default database encoding has accordingly been set to "UTF8".The default text search configuration will be set to "english".Data page checksums are disabled.fixing permissions on existing directory /home/postgres/pgxc/nodes/datanode/datanode1 ... okcreating subdirectories ... okselecting default max_connections ... 100selecting default shared_buffers ... 128MBselecting dynamic shared memory implementation ... posixcreating configuration files ... okrunning bootstrap script ... okperforming post-bootstrap initialization ... creating cluster information ... oksyncing data to disk ... okfreezing database template0 ... okfreezing database template1 ... okfreezing database postgres ... okWARNING: enabling "trust" authentication for local connectionsYou can change this by editing pg_hba.conf or using the option -A, or--auth-local and --auth-host, the next time you run initdb.Success.The files belonging to this database system will be owned by user "postgres".This user must also own the server process.The database cluster will be initialized with locale "en_US.UTF-8".The default database encoding has accordingly been set to "UTF8".The default text search configuration will be set to "english".Data page checksums are disabled.fixing permissions on existing directory /home/postgres/pgxc/nodes/datanode/datanode2 ... okcreating subdirectories ... okselecting default max_connections ... 100selecting default shared_buffers ... 128MBselecting dynamic shared memory implementation ... posixcreating configuration files ... okrunning bootstrap script ... okperforming post-bootstrap initialization ... creating cluster information ... oksyncing data to disk ... okfreezing database template0 ... okfreezing database template1 ... okfreezing database postgres ... okWARNING: enabling "trust" authentication for local connectionsYou can change this by editing pg_hba.conf or using the option -A, or--auth-local and --auth-host, the next time you run initdb.Success.Done.Starting all the datanode masters.Starting datanode master datanode1.WARNING: datanode master datanode1 is running now. Skipping.Starting datanode master datanode2.2019-05-30 21:09:33.352 EDT [2404] LOG: listening on IPv4 address "0.0.0.0", port 154322019-05-30 21:09:33.352 EDT [2404] LOG: listening on IPv6 address "::", port 154322019-05-30 21:09:33.355 EDT [2404] LOG: listening on Unix socket "/tmp/.s.PGSQL.15432"2019-05-30 21:09:33.392 EDT [2404] LOG: redirecting log output to logging collector process2019-05-30 21:09:33.392 EDT [2404] HINT: Future log output will appear in directory "pg_log".Done.psql: FATAL: no pg_hba.conf entry for host "192.168.20.132", user "postgres", database "postgres"psql: FATAL: no pg_hba.conf entry for host "192.168.20.132", user "postgres", database "postgres"Done.psql: FATAL: no pg_hba.conf entry for host "192.168.20.132", user "postgres", database "postgres"psql: FATAL: no pg_hba.conf entry for host "192.168.20.132", user "postgres", database "postgres"Done.[postgres@gtm ~]$ pgxc_ctl -c /home/postgres/pgxc_ctl/pgxc_ctl.conf stop all/bin/bashInstalling pgxc_ctl_bash script as /home/postgres/pgxc_ctl/pgxc_ctl_bash.Installing pgxc_ctl_bash script as /home/postgres/pgxc_ctl/pgxc_ctl_bash.Reading configuration using /home/postgres/pgxc_ctl/pgxc_ctl_bash --home /home/postgres/pgxc_ctl --configuration /home/postgres/pgxc_ctl/pgxc_ctl.conf/home/postgres/pgxc_ctl/pgxc_ctl.conf: line 189: $coordExtraConfig: ambiguous redirectFinished reading configuration. PGXC_CTL START Current directory: /home/postgres/pgxc_ctlStopping all the coordinator masters.Stopping coordinator master coord1.Stopping coordinator master coord2.pg_ctl: directory "/home/postgres/pgxc/nodes/coord/coord1" does not existDone.Stopping all the datanode masters.Stopping datanode master datanode1.Stopping datanode master datanode2.pg_ctl: PID file "/home/postgres/pgxc/nodes/datanode/datanode1/postmaster.pid" does not existIs server running?Done.Stop GTM masterwaiting for server to shut down.... doneserver stopped[postgres@gtm ~]$ pgxc_ctl/bin/bashInstalling pgxc_ctl_bash script as /home/postgres/pgxc_ctl/pgxc_ctl_bash.Installing pgxc_ctl_bash script as /home/postgres/pgxc_ctl/pgxc_ctl_bash.Reading configuration using /home/postgres/pgxc_ctl/pgxc_ctl_bash --home /home/postgres/pgxc_ctl --configuration /home/postgres/pgxc_ctl/pgxc_ctl.conf/home/postgres/pgxc_ctl/pgxc_ctl.conf: line 189: $coordExtraConfig: ambiguous redirectFinished reading configuration. PGXC_CTL START Current directory: /home/postgres/pgxc_ctlPGXC monitor allNot running: gtm masterRunning: coordinator master coord1Not running: coordinator master coord2Running: datanode master datanode1Not running: datanode master datanode2PGXC stop coordinator master coord1Stopping coordinator master coord1.pg_ctl: directory "/home/postgres/pgxc/nodes/coord/coord1" does not existDone.PGXC stop datanode master datanode1Stopping datanode master datanode1.pg_ctl: PID file "/home/postgres/pgxc/nodes/datanode/datanode1/postmaster.pid" does not existIs server running?Done.PGXC monitor allNot running: gtm masterRunning: coordinator master coord1Not running: coordinator master coord2Running: datanode master datanode1Not running: datanode master datanode2PGXC monitor allNot running: gtm masterNot running: coordinator master coord1Not running: coordinator master coord2Not running: datanode master datanode1Not running: datanode master datanode2PGXC exit[postgres@gtm ~]$ pgxc_ctl -c /home/postgres/pgxc_ctl/pgxc_ctl.conf init all/bin/bashInstalling pgxc_ctl_bash script as /home/postgres/pgxc_ctl/pgxc_ctl_bash.Installing pgxc_ctl_bash script as /home/postgres/pgxc_ctl/pgxc_ctl_bash.Reading configuration using /home/postgres/pgxc_ctl/pgxc_ctl_bash --home /home/postgres/pgxc_ctl --configuration /home/postgres/pgxc_ctl/pgxc_ctl.conf/home/postgres/pgxc_ctl/pgxc_ctl.conf: line 189: $coordExtraConfig: ambiguous redirectFinished reading configuration. PGXC_CTL START Current directory: /home/postgres/pgxc_ctlInitialize GTM masterERROR: target directory (/home/postgres/pgxc/nodes/gtm) exists and not empty. Skip GTM initilializationDone.Start GTM masterserver startingInitialize all the coordinator masters.Initialize coordinator master coord1.Initialize coordinator master coord2.The files belonging to this database system will be owned by user "postgres".This user must also own the server process.The database cluster will be initialized with locale "en_US.UTF-8".The default database encoding has accordingly been set to "UTF8".The default text search configuration will be set to "english".Data page checksums are disabled.fixing permissions on existing directory /home/postgres/pgxc/nodes/coord/coord1 ... okcreating subdirectories ... okselecting default max_connections ... 100selecting default shared_buffers ... 128MBselecting dynamic shared memory implementation ... posixcreating configuration files ... okrunning bootstrap script ... okperforming post-bootstrap initialization ... creating cluster information ... oksyncing data to disk ... okfreezing database template0 ... okfreezing database template1 ... okfreezing database postgres ... okWARNING: enabling "trust" authentication for local connectionsYou can change this by editing pg_hba.conf or using the option -A, or--auth-local and --auth-host, the next time you run initdb.Success.The files belonging to this database system will be owned by user "postgres".This user must also own the server process.The database cluster will be initialized with locale "en_US.UTF-8".The default database encoding has accordingly been set to "UTF8".The default text search configuration will be set to "english".Data page checksums are disabled.fixing permissions on existing directory /home/postgres/pgxc/nodes/coord/coord2 ... okcreating subdirectories ... okselecting default max_connections ... 100selecting default shared_buffers ... 128MBselecting dynamic shared memory implementation ... posixcreating configuration files ... okrunning bootstrap script ... okperforming post-bootstrap initialization ... creating cluster information ... oksyncing data to disk ... okfreezing database template0 ... okfreezing database template1 ... okfreezing database postgres ... okWARNING: enabling "trust" authentication for local connectionsYou can change this by editing pg_hba.conf or using the option -A, or--auth-local and --auth-host, the next time you run initdb.Success.Done.Starting coordinator master.Starting coordinator master coord1Starting coordinator master coord22019-05-30 21:13:03.998 EDT [25137] LOG: listening on IPv4 address "0.0.0.0", port 54322019-05-30 21:13:03.998 EDT [25137] LOG: listening on IPv6 address "::", port 54322019-05-30 21:13:04.000 EDT [25137] LOG: listening on Unix socket "/tmp/.s.PGSQL.5432"2019-05-30 21:13:04.038 EDT [25138] LOG: database system was shut down at 2019-05-30 21:13:00 EDT2019-05-30 21:13:04.042 EDT [25137] LOG: database system is ready to accept connections2019-05-30 21:13:04.049 EDT [25145] LOG: cluster monitor started2019-05-30 21:13:04.020 EDT [2730] LOG: listening on IPv4 address "0.0.0.0", port 54322019-05-30 21:13:04.020 EDT [2730] LOG: listening on IPv6 address "::", port 54322019-05-30 21:13:04.021 EDT [2730] LOG: listening on Unix socket "/tmp/.s.PGSQL.5432"2019-05-30 21:13:04.057 EDT [2731] LOG: database system was shut down at 2019-05-30 21:13:00 EDT2019-05-30 21:13:04.061 EDT [2730] LOG: database system is ready to accept connections2019-05-30 21:13:04.062 EDT [2738] LOG: cluster monitor startedDone.Initialize all the datanode masters.Initialize the datanode master datanode1.Initialize the datanode master datanode2.The files belonging to this database system will be owned by user "postgres".This user must also own the server process.The database cluster will be initialized with locale "en_US.UTF-8".The default database encoding has accordingly been set to "UTF8".The default text search configuration will be set to "english".Data page checksums are disabled.fixing permissions on existing directory /home/postgres/pgxc/nodes/datanode/datanode1 ... okcreating subdirectories ... okselecting default max_connections ... 100selecting default shared_buffers ... 128MBselecting dynamic shared memory implementation ... posixcreating configuration files ... okrunning bootstrap script ... okperforming post-bootstrap initialization ... creating cluster information ... oksyncing data to disk ... okfreezing database template0 ... okfreezing database template1 ... okfreezing database postgres ... okWARNING: enabling "trust" authentication for local connectionsYou can change this by editing pg_hba.conf or using the option -A, or--auth-local and --auth-host, the next time you run initdb.Success.The files belonging to this database system will be owned by user "postgres".This user must also own the server process.The database cluster will be initialized with locale "en_US.UTF-8".The default database encoding has accordingly been set to "UTF8".The default text search configuration will be set to "english".Data page checksums are disabled.fixing permissions on existing directory /home/postgres/pgxc/nodes/datanode/datanode2 ... okcreating subdirectories ... okselecting default max_connections ... 100selecting default shared_buffers ... 128MBselecting dynamic shared memory implementation ... posixcreating configuration files ... okrunning bootstrap script ... okperforming post-bootstrap initialization ... creating cluster information ... oksyncing data to disk ... okfreezing database template0 ... okfreezing database template1 ... okfreezing database postgres ... okWARNING: enabling "trust" authentication for local connectionsYou can change this by editing pg_hba.conf or using the option -A, or--auth-local and --auth-host, the next time you run initdb.Success.Done.Starting all the datanode masters.Starting datanode master datanode1.Starting datanode master datanode2.2019-05-30 21:13:12.077 EDT [25392] LOG: listening on IPv4 address "0.0.0.0", port 154322019-05-30 21:13:12.077 EDT [25392] LOG: listening on IPv6 address "::", port 154322019-05-30 21:13:12.079 EDT [25392] LOG: listening on Unix socket "/tmp/.s.PGSQL.15432"2019-05-30 21:13:12.114 EDT [25392] LOG: redirecting log output to logging collector process2019-05-30 21:13:12.114 EDT [25392] HINT: Future log output will appear in directory "pg_log".2019-05-30 21:13:12.079 EDT [2985] LOG: listening on IPv4 address "0.0.0.0", port 154322019-05-30 21:13:12.079 EDT [2985] LOG: listening on IPv6 address "::", port 154322019-05-30 21:13:12.081 EDT [2985] LOG: listening on Unix socket "/tmp/.s.PGSQL.15432"2019-05-30 21:13:12.117 EDT [2985] LOG: redirecting log output to logging collector process2019-05-30 21:13:12.117 EDT [2985] HINT: Future log output will appear in directory "pg_log".Done.psql: FATAL: no pg_hba.conf entry for host "192.168.20.132", user "postgres", database "postgres"psql: FATAL: no pg_hba.conf entry for host "192.168.20.132", user "postgres", database "postgres"Done.psql: FATAL: no pg_hba.conf entry for host "192.168.20.132", user "postgres", database "postgres"psql: FATAL: no pg_hba.conf entry for host "192.168.20.132", user "postgres", database "postgres"Done. 启动 pgxc_ctl -c /home/postgres/pgxc_ctl/pgxc_ctl.conf start all 关闭 pgxc_ctl -c /home/postgres/pgxc_ctl/pgxc_ctl.conf stop all 查看集群状态 [postgres@gtm ~]$ pgxc_ctl monitor all/bin/bashInstalling pgxc_ctl_bash script as /home/postgres/pgxc_ctl/pgxc_ctl_bash.Installing pgxc_ctl_bash script as /home/postgres/pgxc_ctl/pgxc_ctl_bash.Reading configuration using /home/postgres/pgxc_ctl/pgxc_ctl_bash --home /home/postgres/pgxc_ctl --configuration /home/postgres/pgxc_ctl/pgxc_ctl.conf/home/postgres/pgxc_ctl/pgxc_ctl.conf: line 189: $coordExtraConfig: ambiguous redirectFinished reading configuration. PGXC_CTL START Current directory: /home/postgres/pgxc_ctlRunning: gtm masterRunning: coordinator master coord1Running: coordinator master coord2Running: datanode master datanode1Running: datanode master datanode2 配置集群信息 分别在数据节点、协调器节点上分别执行以下命令: 注:本节点只执行修改操作即可(alert node),其他节点执行创建命令(create node)。因为本节点已经包含本节点的信息。 create node coord1 with (type=coordinator,host=xl1, port=5432);create node coord2 with (type=coordinator,host=xl2, port=5432);alter node coord1 with (type=coordinator,host=xl1, port=5432);alter node coord2 with (type=coordinator,host=xl2, port=5432);create node datanode1 with (type=datanode, host=xl1,port=15432,primary=true,PREFERRED);create node datanode2 with (type=datanode, host=xl2,port=15432);alter node datanode1 with (type=datanode, host=xl1,port=15432,primary=true,PREFERRED);alter node datanode2 with (type=datanode, host=xl2,port=15432);select pgxc_pool_reload(); 分别登陆数据节点、协调器节点验证 postgres= select from pgxc_node;node_name | node_type | node_port | node_host | nodeis_primary | nodeis_preferred | node_id-----------+-----------+-----------+-----------+----------------+------------------+-------------coord1 | C | 5432 | xl1 | f | f | 1885696643coord2 | C | 5432 | xl2 | f | f | -1197102633datanode2 | D | 15432 | xl2 | f | f | -905831925datanode1 | D | 15432 | xl1 | t | f | 888802358(4 rows) 测试 插入数据 在数据节点1,执行相关操作。 通过协调器端口登录PG [postgres@xl1 ~]$ psql -p 5432psql (PGXL 10r1.1, based on PG 10.6 (Postgres-XL 10r1.1))Type "help" for help.postgres= create database lei;CREATE DATABASEpostgres= \c lei;You are now connected to database "lei" as user "postgres".lei= create table test1(id int,name text);CREATE TABLElei= insert into test1(id,name) select generate_series(1,8),'测试';INSERT 0 8lei= select from test1;id | name----+------1 | 测试2 | 测试5 | 测试6 | 测试8 | 测试3 | 测试4 | 测试7 | 测试(8 rows) 注:默认创建的表为分布式表,也就是每个数据节点值存储表的部分数据。关于表类型具体说明,下面有说明。 通过15432端口登录数据节点,查看数据 有5条数据 [postgres@xl1 ~]$ psql -p 15432psql (PGXL 10r1.1, based on PG 10.6 (Postgres-XL 10r1.1))Type "help" for help.postgres= \c lei;You are now connected to database "lei" as user "postgres".lei= select from test1;id | name----+------1 | 测试2 | 测试5 | 测试6 | 测试8 | 测试(5 rows) 登录到节点2,查看数据 有3条数据 [postgres@xl2 ~]$ psql -p15432psql (PGXL 10r1.1, based on PG 10.6 (Postgres-XL 10r1.1))Type "help" for help.postgres= \c lei;You are now connected to database "lei" as user "postgres".lei= select from test1;id | name----+------3 | 测试4 | 测试7 | 测试(3 rows) 两个节点的数据加起来整个8条,没有问题。 至此Postgre-XL集群搭建完成。 创建数据库、表时可能会出现以下错误: ERROR: Failed to get pooled connections 是因为pg_hba.conf配置不对,所有节点加上host all all 192.168.20.0/0 trust并重启集群即可。 ERROR: No Datanode defined in cluster 首先确认是否创建了数据节点,也就是create node相关的命令。如果创建了则执行select pgxc_pool_reload();使其生效即可。 集群管理与应用 表类型说明 REPLICATION表:各个datanode节点中,表的数据完全相同,也就是说,插入数据时,会分别在每个datanode节点插入相同数据。读数据时,只需要读任意一个datanode节点上的数据。 建表语法: CREATE TABLE repltab (col1 int, col2 int) DISTRIBUTE BY REPLICATION; DISTRIBUTE :会将插入的数据,按照拆分规则,分配到不同的datanode节点中存储,也就是sharding技术。每个datanode节点只保存了部分数据,通过coordinate节点可以查询完整的数据视图。 CREATE TABLE disttab(col1 int, col2 int, col3 text) DISTRIBUTE BY HASH(col1); 模拟数据插入 任意登录一个coordinate节点进行建表操作 [postgres@gtm ~]$ psql -h xl1 -p 5432 -U postgrespostgres= INSERT INTO disttab SELECT generate_series(1,100), generate_series(101, 200), 'foo';INSERT 0 100postgres= INSERT INTO repltab SELECT generate_series(1,100), generate_series(101, 200);INSERT 0 100 查看数据分布结果: DISTRIBUTE表分布结果 postgres= SELECT xc_node_id, count() FROM disttab GROUP BY xc_node_id;xc_node_id | count ------------+-------1148549230 | 42-927910690 | 58(2 rows) REPLICATION表分布结果 postgres= SELECT count() FROM repltab;count -------100(1 row) 查看另一个datanode2中repltab表结果 [postgres@datanode2 pgxl9.5]$ psql -p 15432psql (PGXL 10r1.1, based on PG 10.6 (Postgres-XL 10r1.1))Type "help" for help.postgres= SELECT count() FROM repltab;count -------100(1 row) 结论:REPLICATION表中,datanode1,datanode2中表是全部数据,一模一样。而DISTRIBUTE表,数据散落近乎平均分配到了datanode1,datanode2节点中。 新增数据节点与数据重分布 在线新增节点、并重新分布数据。 新增datanode节点 在gtm集群管理节点上执行pgxc_ctl命令 [postgres@gtm ~]$ pgxc_ctl/bin/bashInstalling pgxc_ctl_bash script as /home/postgres/pgxc_ctl/pgxc_ctl_bash.Installing pgxc_ctl_bash script as /home/postgres/pgxc_ctl/pgxc_ctl_bash.Reading configuration using /home/postgres/pgxc_ctl/pgxc_ctl_bash --home /home/postgres/pgxc_ctl --configuration /home/postgres/pgxc_ctl/pgxc_ctl.confFinished reading configuration. PGXC_CTL START Current directory: /home/postgres/pgxc_ctlPGXC 在服务器xl3上,新增一个master角色的datanode节点,名称是datanode3 端口号暂定5430,pool master暂定6669 ,指定好数据目录位置,从两个节点升级到3个节点,之后要写3个none none应该是datanodeSpecificExtraConfig或者datanodeSpecificExtraPgHba配置PGXC add datanode master datanode3 xl3 15432 6671 /home/postgres/pgxc/nodes/datanode/datanode3 none none none 等待新增完成后,查询集群节点状态: postgres= select from pgxc_node;node_name | node_type | node_port | node_host | nodeis_primary | nodeis_preferred | node_id-----------+-----------+-----------+-----------+----------------+------------------+-------------datanode1 | D | 15432 | xl1 | t | f | 888802358datanode2 | D | 15432 | xl2 | f | f | -905831925datanode3 | D | 15432 | xl3 | f | f | -705831925coord1 | C | 5432 | xl1 | f | f | 1885696643coord2 | C | 5432 | xl2 | f | f | -1197102633(4 rows) 节点新增完毕 数据重新分布 由于新增节点后无法自动完成数据重新分布,需要手动操作。 DISTRIBUTE表分布在了node1,node2节点上,如下: postgres= SELECT xc_node_id, count() FROM disttab GROUP BY xc_node_id;xc_node_id | count ------------+-------1148549230 | 42-927910690 | 58(2 rows) 新增一个节点后,将sharding表数据重新分配到三个节点上,将repl表复制到新节点 重分布sharding表postgres= ALTER TABLE disttab ADD NODE (datanode3);ALTER TABLE 复制数据到新节点postgres= ALTER TABLE repltab ADD NODE (datanode3);ALTER TABLE 查看新的数据分布: postgres= SELECT xc_node_id, count() FROM disttab GROUP BY xc_node_id;xc_node_id | count ------------+--------700122826 | 36-927910690 | 321148549230 | 32(3 rows) 登录datanode3(新增的时候,放在了xl3服务器上,端口15432)节点查看数据: [postgres@gtm ~]$ psql -h xl3 -p 15432 -U postgrespsql (PGXL 10r1.1, based on PG 10.6 (Postgres-XL 10r1.1))Type "help" for help.postgres= select count() from repltab;count -------100(1 row) 很明显,通过 ALTER TABLE tt ADD NODE (dn)命令,可以将DISTRIBUTE表数据重新分布到新节点,重分布过程中会中断所有事务。可以将REPLICATION表数据复制到新节点。 从datanode节点中回收数据 postgres= ALTER TABLE disttab DELETE NODE (datanode3);ALTER TABLEpostgres= ALTER TABLE repltab DELETE NODE (datanode3);ALTER TABLE 删除数据节点 Postgresql-XL并没有检查将被删除的datanode节点是否有replicated/distributed表的数据,为了数据安全,在删除之前需要检查下被删除节点上的数据,有数据的话,要回收掉分配到其他节点,然后才能安全删除。删除数据节点分为四步骤: 1.查询要删除节点dn3的oid postgres= SELECT oid, FROM pgxc_node;oid | node_name | node_type | node_port | node_host | nodeis_primary | nodeis_preferred | node_id -------+-----------+-----------+-----------+-----------+----------------+------------------+-------------11819 | coord1 | C | 5432 | datanode1 | f | f | 188569664316384 | coord2 | C | 5432 | datanode2 | f | f | -119710263316385 | node1 | D | 5433 | datanode1 | f | t | 114854923016386 | node2 | D | 5433 | datanode2 | f | f | -92791069016397 | dn3 | D | 5430 | datanode1 | f | f | -700122826(5 rows) 2.查询dn3对应的oid中是否有数据 testdb= SELECT FROM pgxc_class WHERE nodeoids::integer[] @> ARRAY[16397];pcrelid | pclocatortype | pcattnum | pchashalgorithm | pchashbuckets | nodeoids ---------+---------------+----------+-----------------+---------------+-------------------16388 | H | 1 | 1 | 4096 | 16397 16385 1638616394 | R | 0 | 0 | 0 | 16397 16385 16386(2 rows) 3.有数据的先回收数据 postgres= ALTER TABLE disttab DELETE NODE (dn3);ALTER TABLEpostgres= ALTER TABLE repltab DELETE NODE (dn3);ALTER TABLEpostgres= SELECT FROM pgxc_class WHERE nodeoids::integer[] @> ARRAY[16397];pcrelid | pclocatortype | pcattnum | pchashalgorithm | pchashbuckets | nodeoids ---------+---------------+----------+-----------------+---------------+----------(0 rows) 4.安全删除dn3 PGXC$ remove datanode master dn3 clean 故障节点FAILOVER 1.查看当前集群状态 [postgres@gtm ~]$ psql -h xl1 -p 5432psql (PGXL 10r1.1, based on PG 10.6 (Postgres-XL 10r1.1))Type "help" for help.postgres= SELECT oid, FROM pgxc_node;oid | node_name | node_type | node_port | node_host | nodeis_primary | nodeis_preferred | node_id-------+-----------+-----------+-----------+-----------+----------------+------------------+-------------11739 | coord1 | C | 5432 | xl1 | f | f | 188569664316384 | coord2 | C | 5432 | xl2 | f | f | -119710263316387 | datanode2 | D | 15432 | xl2 | f | f | -90583192516388 | datanode1 | D | 15432 | xl1 | t | t | 888802358(4 rows) 2.模拟datanode1节点故障 直接关闭即可 PGXC stop -m immediate datanode master datanode1Stopping datanode master datanode1.Done. 3.测试查询 只要查询涉及到datanode1上的数据,那么该查询就会报错 postgres= SELECT xc_node_id, count() FROM disttab GROUP BY xc_node_id;WARNING: failed to receive file descriptors for connectionsERROR: Failed to get pooled connectionsHINT: This may happen because one or more nodes are currently unreachable, either because of node or network failure.Its also possible that the target node may have hit the connection limit or the pooler is configured with low connections.Please check if all nodes are running fine and also review max_connections and max_pool_size configuration parameterspostgres= SELECT xc_node_id, FROM disttab WHERE col1 = 3;xc_node_id | col1 | col2 | col3------------+------+------+-------905831925 | 3 | 103 | foo(1 row) 测试发现,查询范围如果涉及到故障的node1节点,会报错,而查询的数据范围不在node1上的话,仍然可以查询。 4.手动切换 要想切换,必须要提前配置slave节点。 PGXC$ failover datanode node1 切换完成后,查询集群 postgres= SELECT oid, FROM pgxc_node;oid | node_name | node_type | node_port | node_host | nodeis_primary | nodeis_preferred | node_id -------+-----------+-----------+-----------+-----------+----------------+------------------+-------------11819 | coord1 | C | 5432 | datanode1 | f | f | 188569664316384 | coord2 | C | 5432 | datanode2 | f | f | -119710263316386 | node2 | D | 15432 | datanode2 | f | f | -92791069016385 | node1 | D | 15433 | datanode2 | f | t | 1148549230(4 rows) 发现datanode1节点的ip和端口都已经替换为配置的slave了。 本篇文章为转载内容。原文链接:https://blog.csdn.net/qianglei6077/article/details/94379331。 该文由互联网用户投稿提供,文中观点代表作者本人意见,并不代表本站的立场。 作为信息平台,本站仅提供文章转载服务,并不拥有其所有权,也不对文章内容的真实性、准确性和合法性承担责任。 如发现本文存在侵权、违法、违规或事实不符的情况,请及时联系我们,我们将第一时间进行核实并删除相应内容。
2023-01-30 11:09:03
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...nd API进行网络策略管理、故障排查等,Red Hat官方博客最近发布了一篇教程,提供了从理论到实践的全面指南。 5. 学术研究:《计算机网络》期刊最新刊载的一篇研究报告,针对开源SDN控制器(包括OpenDaylight)的安全性和性能进行了深入剖析,并提出了提升其可靠性的若干改进方案,这对于从事相关领域研究和技术开发的专业人士具有很高的参考价值。 以上这些资源不仅可以帮助您跟踪了解OpenDaylight与OpenStack集成的最新进展,还能让您洞悉整个SDN领域的前沿趋势和发展方向,从而更好地指导您的项目实施和技术创新。
2023-06-08 17:13:19
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...司也需要有自己的开源策略,而拥有一个开源计划办公室则可以为其提供帮助。 “在使用开源软件方面,OPSO为公司提供了一个至关重要的能力中心”他说。 这与公司拥有安全运营中心的方式类似,他说。 “围绕一个项目而发展的开发人员社区,有助于代码库的形成,并吸引更多的开发人员参与,这可以变成一个良性循环。” ——Tom Hickman,ThreatX 首席创新官 “如果你对安全团队进行相应投资,你通常是不会期望你的软件是安全的,也无法及时应对安全事件。”他说。 “同样的逻辑也适用于 OSPO,这就是为什么你会看到许多领先的公司,例如Apple、Meta、Twitter、Goldman Sachs、Bloomberg 和 Google 都拥有 OSPO。他们走在了趋势的前面。” 而对组织内的开源活动的支持态度亦可成为软件供应商们的差异化原因与营销的机会。 根据Red Hat 2月分发布的一项调查,82%的IT领导者更倾向于选择为开源社区作出贡献的软件供应商。 受访者表示,当供应商支持开源社区时,就表示着他们更熟悉开源的流程并且在客户遇到技术难题时会更加有效。 但收益的不仅仅是软件供应商们。 根据 The New Stack、Linux Foundation Research 和 TODO Group 9 月份的调查,57% 拥有 OSPO 的组织将使用它们来进一步发展战略关系和建立合作伙伴关系。 十年前,Mark Hinkle 在 Citrix 工作时创办了一个开源计划办公室。他指出了在内部拥有一个 OSPO将如何使公司受益。 “对于我们来说,最大的工作是让不熟悉开源的员工学会并参与其中,成为优秀的社区成员”,他说,“我们还就如何确保我们的IP不会在没有正确理解的情况下进入项目的情况提供了指导,并确保我们没有与我们企业软件许可相冲突的开源项目合作。” 他说,OSPO还帮助Citrix确定了公司参与开源项目和Linux基金会等贸易组织的战略机会。 如今,他是云原生开源集成平台 TriggerMesh 的首席执行官兼联合创始人。 他说,参与开源系统对公司来说有着重大的经济效益。 “我们参与Knative是为了分享我们基础底层平台的开发,但作为业务的一部分,我们也拥有相关的增值服务。”他说,“通过共享该平台的研发,这为我们提供了更多的资源来改进我们自己的差异化技术。” Part4如何入门开源 在 The New Stack、Linux Foundation Research 和 TODO Group 的 9 月份调查中,有 63% 的公司表示,拥有OSPO 对其工程或产品团队的成功至关重要,高于上一年度该项研究数据的 54%。 其中77% 的人表示他们的开源程序对他们的软件实践产生了积极影响,例如提高了代码质量。 但公司也不可能总是为他们使用的每一个开源项目而花费精力。 “首先,节流一下”,VMware 的 Ambiel 建议道。 公司应该关注投入使用中最有意义的项目。而这也是OSPO可以帮助确定优先事项并确保技术与战略一致性的领域。 之后,开发人员应该自己去了解一下。项目通常提供相关在线文档,一般包含贡献着指南、治理文档和未解决问题列表。 “对于那些你较感兴趣的项目中,你可以介绍一下自己----打个招呼”,她说。“然后转到Slack频道或者分发列表,询问他们需要帮助的地方。也许他们不需要帮助,一切完好;又或者他们也有可能使用新人来审查核验代码。” Ambiel 说,开源计划办公室不仅可以帮助制定为开源社区做出贡献的商业案例,还可以帮助公司以安全、可靠和健全的方式来做这件事。 “如果我为一家公司工作,并想为开源做出贡献,我不想意外披露、泄露或破坏任何专利,”她说。“而OSPO可以帮助您做出明智的选择。” 她说,OSPO还可以在开源方面提供领导力和指导理念的支持。“它可以提供引领、指导、辅导和最佳实践的作用。” Aqua Security的开发人员倡导者Anaïs Urlichs则认为,支持开源的承诺必须从高层开始。 她说,“公司在多数时候往往不重视对开源的投资,所以员工自然而然不被鼓励对此作出贡献。” 在这些情况下,员工对于开源的热情也会在空闲时间里对开源的建设而消散殆尽,这对于开源的发展来说是不可持续的。 “如果公司对开源项目依赖度高,那么将开源贡献纳入工程师的日程安排是很重要的,”她说。“一些公司定义了员工可以为开源建设的时间百分比,将其作为他们正常工作日的一部分。” The New Stack 是 Insight Partners 的全资子公司,Insight Partners 是本文提到的以下公司的投资者:Sysdig、Aqua Security。 中英对照版 How an OSPO Can Help Your Engineers Give Back to Open Source OSPO (开源项目办公室)是如何使工程师回馈开源的 When it comes to open source software, there’s a big and growing problem: most organizations are takers, not givers. 谈到开源软件,有一个较大且日益严重的问题:大多数组织都是索取者,而不是给予者。 There’s a classic XKCD comic that shows a giant structure representing modern digital infrastructure, dependent on a tiny component created by “some random person in Nebraska” who has been “thanklessly maintaining since 2003.” 经典漫画XKCD展示了一个代表现代数字基础设施的巨大结构,它依赖于“内布拉斯加州的某位人士”创建的微小组件,该组件“自2003年来一直都处于吃力不讨好的状态”。 Randall Monroe’s XKCD comic illustrates the open source dilemma: overreliance on a small number of volunteer project maintainers. Randall Monroe 的XKCD漫画展示了目前开源面临的窘境:过度依赖少数项目维护志愿者的志愿服务。 This would have been funny, except that this is exactly what happened when security vulnerabilities were discovered in Log4j last December. (开源项目由志愿者自发来维护,)这听起来像是一件很滑稽的事情,但事实上去年十二月在Log4j中发现的安全漏洞也确实存在着上述情况。 The Java-based logging tool is ubiquitous in enterprise publications. In the last three months, for example, Log4j has been downloaded more than 30 million times, according to a report by the enterprise software company Sonatype. 然而这个基于Java的日志记录工具已经在企业内部刊物中无处不在。例如根据软件公司Sonatype的一份报告显示,在过去的三个月里,Log4j的下载量就已经超过3000万次。 The tool has 440,000 lines of code, according to Synopsys‘ Black Duck Open Hub research tool, with nearly 24,000 contributions by nearly 200 developers. That’s a large dev team compared to other open source projects. But looking closer at the numbers, more than 70% of commits were by just five people. 根据Synopsys(新思)公司旗下的Black Duck Open Hub 研究工具显示。Log4j有着440,000行代码,由近200名开发人员贡献了将近24,000行代码。其实与其他开源项目相比,这是一个庞大的开发团队。但是如果关注数据的话,就会发现超过70%的提交是仅仅靠五个人来完成的。 Log4j’s home page lists about a dozen members on its project team. Most projects have far fewer developers working on them — and that presents a problem for the organizations that depend on them. Log4j的主页上展示了十几位项目团队的成员。而大多项目的开发人员要比其原本需要的少得多----这是高度依赖开发人员团队所呈现出来的问题。 “There is little incentive for anyone today to contribute to an existing open source project,” said Jeremy Stretch, distinguished engineer at NS1, a DNS network company. “There’s usually no direct compensation, and few accolades are offered — most users don’t even know who maintains the software that they use.” “如今的人没有什么动力去为现有的开源项目做贡献”,来自DNS网络公司NS1的杰出工程师Jeremy Strech说,“因为通常来说,这没有直接的物质回报,也很少提供荣誉----大多数用户甚至不知道他们所用的软件是谁维护的。” The most common motivation among open source contributors is to add a feature that they themselves want to see, he said. “Once this has been achieved, the contributor rarely sticks around.” 他说,开源贡献者们最常见的动机就是添加他们自己想要的功能。“一旦实现了这一点,他们几乎都不会留下来。” Meanwhile, as a project becomes more popular, the burden on the core team of maintainers keeps increasing. 与此同时,随着项目的逐渐流行,对于维护方面的核心团队来说,他们的负担也在不断增加。 “More users means more feature requests and more bug reports — but not more maintainers,” Stretch said. “What was once an enjoyable hobby can quickly become a tedious chore, and many maintainers understandably opt to simply abandon their projects altogether.” “更多的用户意味有着更多的功能需求和错误报告----但不是更多的维护人员”,Stretch说。“曾经令人愉快的爱好很快就会变成一项乏味的项目,所以很多维护人员选择干脆完全放弃他们的项目,这也是可以理解的。” Part1The Tragedy of the Commons The open source software ecosystem is a perfect example of the “tragedy of the commons.” 开源软件的生态系统,就是“公地悲剧”的一个完美例子。 And the tragedy is — when everyone uses, but no one contributes, that resource — whether it’s an overrun park or an open source project — eventually collapses from overuse and underinvestment. Everyone loves using free stuff, but everyone expects someone else to take care of it. 这个悲剧就是---当一种资源,无论是一个超限的公园还是一个开源项目,所有人都在使用而没有人贡献之时,最终都会因为过度使用和投入不足而崩溃坍塌。 This approach can save you money in the short term, but it can become a fatal flaw over time. Especially since open source software is everywhere, running everything. 这种方式可以在短期内为你节省资金,但随着时间的推移,它可能会变成项目里致命的缺陷。 Linux, for example, the open source operating system, runs on 96% of the world’s top 1 million servers, and 90% of all cloud infrastructure is on Linux. Not to mention that 85% of all smartphones in the world run Linux, in the form of the Android OS. 拿Linux来说,这个开源操作系统在全球前100万台服务器中运行率在96%以上,且这些服务器90%的云基础设施也都在Linux上。更不用说世界上85%的智能手机都运行着Linux,即Android操作系统。 Then there’s Java, Apache, WordPress, Cassandra, Hadoop, MySQL, PHP, ElasticSearch, Kubernetes — the list of ubiquitous open source projects goes on and on. 还有Java, Apache, WordPress, Cassandra, Hadoop, MySQL, PHP, ElasticSearch, Kubernetes--这些常见开源项目的列表还在逐渐增加着。 Without open source, much of today’s technical infrastructure would immediately grind to a halt. 如果没有开源,今天的大部分技术基础设施的建设也将会戛然而止。 “It is a real problem,” said Danil Mikhailov, executive director at Data.org, a nonprofit backed by the Mastercard Center for Inclusive Growth and The Rockefeller Foundation that promotes the use of data science to tackle society’s greatest challenges. “这是一个很现实的问题”,Data.org的执行董事Danil Mikhailov说,该组织是由万事达包容性发展中心和洛克菲勒基金会支持,旨在促进使用数据科学来应对当今社会所面临的巨大挑战的非营利性组织。 While nearly all organizations use open source software, only a minority contribute to those projects. Forty-two percent of participants in a survey released in September by The New Stack, Linux Foundation Research, and the TODO Group said tthey contribute at least sometimes to open source projects. 虽然几乎所有组织都在使用着开源软件,但只有少数组织为这些项目作出了贡献。The New Stack、Linux Foundation Research 和 TODO Group 在 9 月发布的一项调查中,42% 的参与者表示,他们至少有时会为开源项目做出贡献。 The same study showed that only 36% of organizations train their engineers to contribute to open source. 而同一项研究表明,只有36%的组织会培训他们的工程师为开源作出贡献。 Individual companies should support projects that they use the most and are critical to their success, Mikhailov said: “If you use, you contribute.” 个体公司应该支持贡献这些他们使用最多且对他们成功至关重要的项目,Mikhailov认为:“如果你使用开源,你就应该为他做出属于你自己的贡献。” Part2OSPO Benefits:Less Tech Debt,Better Recruiting Participating in open source communities — especially when guided by an in-house open source program office (OSPO) — can help ensure the health of projects critical to your organization’s success, improve those projects’ security, and allow your engineers to have more impact in the projects’ development road map. 参与开源社区——特别是在内部开源项目办公室(OSPO)的指导下——不仅可以保证对组织成功至关重要项目的健康发展,还可以提高项目安全性,同时可以允许工程师在项目发展规划中起到更大的影响。 Say, for example, a company uses an open source tool and modifies it a little to make it better. If that improvement isn’t contributed back to the community, then the official version of the open source project will start to diverge from what the company is using 例如,如果一家公司使用了开源工具,并对其进行了一些调整使其变得更好。但如果这项改进没有反馈到开源社区,那么开源项目的正式版本就会一开始与该公司所使用的版本有所不同。 “You start to grow technical debt because when the original source changes and you’ve got a different version. Those differences grow rapidly, compounding daily. It doesn’t take long for you to be the proud user and maintainer of a one-of-a-kind open source project variant,” said Suzanne Ambiel, director, open source marketing and strategy at VMware. “当原始代码来源发生变化且你所使用的是不同的版本时,你的技术负债将越来越多。而这些差异是以天为单位迅速增长的。”VMware 开源营销和战略总监 Suzanne Ambiel 表示,“所以你很快就会变成一个开源项目里独一无二变体的‘自豪’用户和维护人员。” “The technical debt gets bigger and bigger and it gets very expensive for a company to manage.” “如果技术负债越来越多,那么公司的管理成本则会非常昂贵”。 Support for open source activity can also be a recruiting tool. “It’s really a talent magnet,” said Ambiel. “It’s one of the things that new hires look for.” 实际上对于开源活动的支持也变成了一种招聘途径。“这真是一块吸引人才的磁铁,”Ambiel说,“这也是新员工所寻求的“。 Some engineering managers might worry that open source contributions will detract from core product development, she said. Their rationale, she added, might run along the lines of, “I only have so much talent, and so many hours, and I need them to only work on things where I can measure and see the return on investment.” 她还提到,一些工程经理可能会对贡献开源而减损核心产品的开发的精力而感到担忧。她补充到,他们的理由有可能是这样的:“我只有有限的才华与时间,且我需要这些只做我认为可以度量且看到投资回报的事情。” But that attitude, she said, is shortsighted. Supporting employees who contribute to open source communities can build skills and develop talent, she said. 但她说,这是一种鼠目寸光的态度。支持开源社区并且作出贡献的员工,可以从中培养技能与增长才华。 Loris Degionni, chief technology officer and founder at Sysdig, a cloud security vendor, echoed this notion: “Finding employees who contribute to open source is a gold mine,” said. 云安全供应商 Sysdig 的首席技术官兼创始人 Loris Degionni 也赞同这一观点:“找出为开源做出贡献的员工无疑就找到一座金矿,”他说。 These employees are more capable of delivering features a company wants to use and merge them into community-supported standards, he said. And in a war for talent, companies that embrace open source are more attractive to developers. 他认为,这些参与开源的员工更具备公司想拥有的竞争力并将一些功能融入至社区所支持的标准中。且在人才争夺战中,拥抱开源的公司也更受到开发人员的青睐。 “Lastly, open source is driven by a community of technical experts you may not be able to hire,” he said. “When employees actively contribute and collaborate with these experts, they’ll be better informed of best practices and bring them back to your organization. “最后,开源项目是由你可能无法聘请的技术专家社区推动的”,他说,“当员工积极参与并于这些专家合作时,他们将能更好地深入这些最佳实践,并将这些收获带回到你的组织之中。” “You start to grow technical debt because when the original source changes and you’ve got a different version … It doesn’t take long for you to be the proud user and maintainer of a one-of-a-kind open source project variant.” —Suzanne Ambiel, director, open source marketing and strategy, VMware “当原始数据来源发生变化且你所使用的是不同的版本时,你的技术负债将越来越多...所以你很快就会变成一个开源项目里独一无二变体的”自豪“用户和维护人员。” — Suzanne Ambiel,VMware 开源营销和战略总监 “All of this should be rewarded — developers shouldn’t have to spend their free time honing their skills, as your company will quickly see benefits from their efforts.” “但是这一切终究不会白费--开发人员不应该把业余时间用在磨练他们的技能上,因为你的公司很快就会在他们的努力中看到好处。” An OSPO, Degionni suggested, can help achieve these goals, as well as help prioritize contributions and ensure collaboration. In addition, they can help provide governance that mirrors what companies would have for internally developed applications. Degionni认为,OSPO(开源计划办公室)可以帮助公司实现这些目标,以及帮助确定贡献的优先级并确保合作的进行。除此之外,他们也可以对公司内部开发应用程序方面的治理提供相关帮助。 “Members of the open source team are also in a position to be great internal evangelists for open source technologies, and act as bridges between the organization and the broader community,” he added. “开源团队的成员也可以成为开源技术的伟大内部布道师,并充当组织与更广泛社区之间的桥梁。”他补充道。 In the September survey from The New Stack, Linux Foundation Research and the TODO Group, nearly 53% of organizations with OSPOs said they saw more innovation as a result of having an OSPO, while almost 43% said they saw increased participation in external open source projects. 在 The New Stack、Linux Foundation Research 和 TODO Group 的 9 月调查中,近 53% 的拥有 OSPO的组织表示,由于拥有了OSPO,他们看到了更多创新,而近 43% 的组织表示,他们在外部开源项目的参与度上有所增加。 Part3More OSPO Benefits:A Business Edge Contributing to open source communities doesn’t just help the communities, but the companies that contribute to them, said Tom Hickman, chief innovation officer at ThreatX, a cybersecurity firm. 网络安全公司 ThreatX 的首席创新官 Tom Hickman 表示,为开源社区做出贡献,不仅有助于社区,还有助于为社区做出贡献的公司。 “Growing the community of developers around a project helps the code base, and attracts more developers,” he said. “It can become a virtuous circle.” “围绕一个项目而发展的开发人员社区,有助于代码库的形成,并吸引更多的开发人员参与”,他说,“这可以变成一个良性循环。” Also, companies that contribute to open source projects get twice the productive value from their use of open source than companies that don’t, according to research by Harvard Business School. 此外,根据哈佛商学院的研究,为开源项目作出贡献的公司从使用开源的项目中获得的生产价值,是不参与开源项目公司的两倍。 Many of the biggest companies in the world are contributing to open source, said Chris Aniszczyk, chief technology officer at Cloud Native Computing Foundation. He pointed to the Open Source Contributor Index as a reference for exactly just how much companies are doing. Cloud Native Computing Foundation 的首席技术官 Chris Aniszczyk 说,世界上许多巨头公司都为开源作出了贡献。他还提到,开源贡献者的指数是作为公司是否有所作为的参考。 The tech giants dominate the list: Google, Microsoft, Red Hat, Intel, IBM, Amazon, Facebook, VMware, GitHub and SAP are the top 10 contributors, in that order. But there are also a lot of end users on the top 100 list, said Aniszczyk, including Uber, the BBC, Orange, Netflix, and Square. 科技巨头占据了这份榜单的主导地位:谷歌、微软、红帽、英特尔、IBM、亚马逊、Facebook、VMware、GitHub 和 SAP 依次是排名前 10 的贡献者。但Aniszczyk 表示,但也有很多终端用户公司进入前 100 名,包括 Uber、BBC、Orange、Netflix 和 Square。 “We’ve always known working in upstream projects is not just the right thing to do —it’s the best approach to open source software development and the best way to deliver open source benefits to our customers,” he said. “It’s great to see that IT leaders recognize this as well.” “我们一直知道,在上游项目中工作不仅仅是关正确与否----它是开源软件开发的最佳方法,也是向客户提供开源福利的最佳方式“他说,“很高兴看到IT领导者们也认识到了这一点。” To contribute alongside these giants, companies need to have their own open source strategies, and having an open source program office can help. 为了和这些公司一起作出贡献,公司也需要有自己的开源策略,而拥有一个开源项目办公室则可以为其提供帮助。 “OSPOs provide a critical center of competency in a company when it comes to utilizing open source software,” he said. “在使用开源软件方面,OPSO为公司提供了一个至关重要的能力中心”他说。 It’s similar to the way that companies have security operations centers, he said. 这与公司拥有安全运营中心的方式类似,他说。 “Growing the community of developers around a project helps the code base, and attracts more developers. It can become a virtuous circle.” —Tom Hickman, chief innovation officer, ThreatX “围绕一个项目而发展的开发人员社区,有助于代码库的形成,并吸引更多的开发人员参与,这可以变成一个良性循环。” ——Tom Hickman,ThreatX 首席创新官 “If you don’t make the investment in a security team, you generally don’t expect your software to be secure or be able to respond to security incidents in a timely fashion,” he said. “如果你没有对安全团队进行相应投资,你通常是不会期望你的软件是安全的,也无法及时响应安全事件。”他说。 “The same logic applies to OSPOs and is why you see many leading companies out there such as Apple, Meta, Twitter, Goldman Sachs, Bloomberg, and Google all have OSPOs. They are ahead of the curve.” “同样的逻辑也适用于 OSPO,这就是为什么你会看到许多领先的公司,例如 Apple、Meta、Twitter、Goldman Sachs、Bloomberg 和 Google 都拥有 OSPO。他们走在了趋势的前面。” Support for open source activity within your organization can become a differentiator and marketing opportunity for software vendors. 而对组织内的开源活动的支持态度亦可成为软件供应商们的差异化原因与营销的机会。 According to a Red Hat survey released in February, 82% of IT leaders are more likely to select a vendor who contributes to the open source community. 根据Red Hat2月分发布的一项调查,82%的IT领导者更倾向于选择为开源社区作出贡献的软件供应商。 Respondents said that when vendors support open source communities they are more familiar with open source processes and are more effective if customers have technical challenges. 受访者表示,当供应商支持开源社区时,就表示着他们更熟悉开源的流程并且在客户遇到技术难题时会更加有效。 But it’s not just software vendors who benefit. 但收益的不仅仅是软件供应商们。 According to September’s survey by The New Stack, Linux Foundation Research, and the TODO Group, 57% of organizations with OSPOs use them to further strategic relationships and build partnerships. 根据 The New Stack、Linux Foundation Research 和 TODO Group 9 月份的调查,57% 拥有 OSPO 的组织将使用它们来进一步发展战略关系和建立合作伙伴关系。 Mark Hinkle started an open source program office back when he worked at Citrix a decade ago. He pointed out how having an OSPO in-house benefited the company. 十年前,Mark Hinkle 在 Citrix 工作时创办了一个开源计划办公室。他指出了在内部拥有一个 OSPO将如何使公司受益。 “For us the biggest job was to educate our employees who weren’t familiar with open source to get involved and be good community members,” he said. “We also provided guidance on how to make sure our IP didn’t enter projects without proper understanding and we made sure we didn’t incorporate open source that conflicted with our enterprise software licensing.” “对于我们来说,最大的工作是让不熟悉开源的员工学会并参与其中,成为优秀的社区成员”,他说,“我们还就如何确保我们的IP不会在没有正确理解的情况下进入项目的情况提供了指导,并确保我们没有与我们企业软件许可相冲突的开源项目合作。” The OSPO also helped Citrix identify strategic opportunities for the company to participate in open source projects and trade organizations like The Linux Foundation, he said. 他说,OSPO还帮助Citrix确定了公司参与开源项目和Linux基金会等贸易组织的战略机会。 Today, he’s the CEO and co-founder of TriggerMesh, a cloud native, open source integration platform. 如今,他是云原生开源集成平台 TriggerMesh 的首席执行官兼联合创始人。 There are some significant economic benefits to participating in the open source ecosystem, he said. 他说,参与开源系统对公司来说有着重大的经济效益。 “We participate in Knative to share the development of our underlying platform but we develop value-added services as part of our business,” he said. “By sharing the R and D for the platform, it gives us more resources to develop our own differentiated technology.” “我们参与Knative是为了分享我们基础底层平台的开发,但作为业务的一部分,我们也拥有相关的增值服务。”他说,“通过共享该平台的研发,这为我们提供了更多的资源来改进我们自己的差异化技术。” Part4How to Get Started in Open Source Sixty-three percent of companies in the September survey from The New Stack, Linux Foundation Research and the TODO Group said that having an OSPO was very or extremely critical to the success of their engineering or product teams, up from 54% in the previous annual study. 在 The New Stack、Linux Foundation Research 和 TODO Group 的 9 月份调查中,有 63% 的公司表示,拥有OSPO 对其工程或产品团队的成功至关重要,高于上一年度该项研究数据的 54%。 In particular, 77% said that their open source program had a positive impact on their software practices, such as improved code quality. 其中77% 的人表示他们的开源程序对他们的软件实践产生了积极影响,例如提高了代码质量。 But companies can’t always contribute to every single open source project that they use. 但公司也不可能总是为他们使用的每一个开源项目而花费精力。 “First, thin the herd a little bit,” advised VMware’s Ambiel. “首先,节流一下”,VMware 的 Ambiel 建议道。 Companies should look at the projects that make the most sense for their use cases. This is an area where an OSPO can help set priorities and ensure technical and strategic alignment. 公司应该关注投入使用中最有意义的项目。而这也是OSPO可以帮助确定优先事项并确保技术与战略一致性的领域。 Then, developers should go and check out the projects themselves. Projects typically offer online documentation, often with contributor guides, governance documents, and lists of open issues. 之后,开发人员应该自己去了解一下。项目通常提供相关在线文档,一般包含贡献着指南、治理文档和未解决问题列表。 “For the projects that rise to the top of your strategic list, introduce yourself — say hello,” she said. “Go to the Slack channel or the distribution list and ask where they need help. Maybe they don’t need help and everything is good. Or maybe they can use a new person to review code.” “对于那些上升到你的战略清单顶端的项目,你可以介绍一下自己----打个招呼”,她说。“然后转到Slack频道或者分发列表,询问他们需要帮助的地方。也许他们不需要帮助,一切完好;又或者他们也有可能使用新人来审查核验代码。” An open source program office can not only help make a business case for contributing to the open source community, Ambiel said, but can help companies do it in a way that’s safe, secure and sound. Ambiel 说,开源项目办公室不仅可以帮助制定为开源社区做出贡献的商业案例,还可以帮助公司以安全、可靠和健全的方式来做这件事。 “If I work for a company and want to contribute to open source, I don’t want to accidentally disclose, divulge or undermine any patents,” she said. “An OSPO helps you make smart choices.” “如果我为一家公司工作,并想为开源做出贡献,我不想意外披露、泄露或破坏任何专利,”她说。“而OSPO可以帮助您做出明智的选择。” An OSPO can also help provide leadership and the guiding philosophy about supporting open source, she said. “It can provide guidance, mentorship, coaching and best practices.” 她说,OSPO还可以在开源方面提供领导力和指导理念的支持。“它可以提供引领、指导、辅导和最佳实践的作用。” Commitment to support open source has to start at the top, said Anaïs Urlichs, developer advocate at Aqua Security. Aqua Security的开发人员倡导者Anaïs Urlichs则认为,支持开源的承诺必须从高层开始。 “Too often,” she said, “companies do not value investment into open source, so employees are not encouraged to contribute to it.” 她说,“公司在多数时候往往不重视对开源的投资,所以员工自然而然不被鼓励对此作出贡献。” In those cases, employees with a passion for open source end up contributing during their free time, which is not sustainable. 在这些情况下,员工对于开源的热情也会在空闲时间里对开源的建设而消散殆尽,这对于开源的发展来说是不可持续的。 “If companies rely on open source projects, it is important to make open source contributions part of an engineer’s work schedule,” she said. “Some companies define a time percentage that employees can contribute to open source as part of their normal workday.” “如果公司对开源项目依赖度高,那么将开源贡献纳入工程师的日程安排是很重要的,”她说。“一些公司定义了员工可以为开源建设的时间百分比,将其作为他们正常工作日的一部分。” The New Stack is a wholly owned subsidiary of Insight Partners, an investor in the following companies mentioned in this article: Sysdig, Aqua Security. The New Stack 是 Insight Partners 的全资子公司,Insight Partners 是本文提到的以下公司的投资者:Sysdig、Aqua Security。 相关阅读 | Related Reading 《开源合规指南(企业篇)》正式发布,为推动我国开源合规建设提供参考 “目标->用户->指标”——企业开源运营之道|瞰道@谭中意 开源之夏邀请函——仅限高校学子开启 开源社简介 开源社成立于 2014 年,是由志愿贡献于开源事业的个人成员,依 “贡献、共识、共治” 原则所组成,始终维持厂商中立、公益、非营利的特点,是最早以 “开源治理、国际接轨、社区发展、开源项目” 为使命的开源社区联合体。开源社积极与支持开源的社区、企业以及政府相关单位紧密合作,以 “立足中国、贡献全球” 为愿景,旨在共创健康可持续发展的开源生态,推动中国开源社区成为全球开源体系的积极参与及贡献者。 2017 年,开源社转型为完全由个人成员组成,参照 ASF 等国际顶级开源基金会的治理模式运作。近八年来,链接了数万名开源人,集聚了上千名社区成员及志愿者、海内外数百位讲师,合作了近百家赞助、媒体、社区伙伴。 本篇文章为转载内容。原文链接:https://blog.csdn.net/kaiyuanshe/article/details/124976824。 该文由互联网用户投稿提供,文中观点代表作者本人意见,并不代表本站的立场。 作为信息平台,本站仅提供文章转载服务,并不拥有其所有权,也不对文章内容的真实性、准确性和合法性承担责任。 如发现本文存在侵权、违法、违规或事实不符的情况,请及时联系我们,我们将第一时间进行核实并删除相应内容。
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...中全部自动化,无需象生成PDF、Word、Excel那样还需要人工再点打印; 8、易部署:打印模板既可以部署在客户端(与 cfprint.exe 程序放在同一目录下),也支持部署在服务端随报表数据一起传到客户端; 9、目标活:支持在数据文件中或模板中指定要输出的打印机,发票用针打、报表用激光打、小票用小票机,专机专打; 三、使用前提条件: 1、IE6以上版本、Chrome(谷歌浏览器)4.0以上版本、Firefox 4.0以上版本、Opera 11以上版本、Safari 5.0.2以上版本、iOS 4.2以上版本 或使用Chrome内核、Firefox内核的浏览器均可直接使用本打印系统; 2、在进行打印前,需要先设计好打印模板(模板设计器请见第五节); 3、打印数据必须Json的格式发送给打印服务器,并且数据必须满足指定的格式(见下文); 四、数据格式说明: 下面以一个跨境电商快递面单数据为例解释一下数据各项的含义; { "template": "waybill.fr3", /打印模板文件名。除了指定模板文件以外,还支持把模板嵌入到数据文件中,以实现在服务器端灵活使用打印模板,格式如下:/ /"template": "base64:QTBBRTNEQTE3MkFFQjIzNEFERD<后面省略>" / "ver": 4, /数据模板文件版本/ "Copies": 3, /打印份数,支持指定打印份数/ "Duplex": 1, /是否双面打印,0:默认,不双面,1:垂直,2:水平,3:单面打印(simplex)/ "Printer": "priPrinter", /指定打印机,本系统支持在数据文件中指定打印机,也支持在打印模板中指定打印机/ "PageNumbers": "", /要打印的页码范围,同打印机的打印设置里的格式相同,例如:"1,2,3"表示打印前3页, “2-5”:表示打印第2到5页,“1,2,4-8”表示打印第1、2、4到8页/ "Preview": 1, /是否预览,跟主界面上选择“预览”效果相同,取值为0:不预览,1:预览/ "Tables":[ /数据表数组/ { "Name": "Table1", /表名/ "Cols": [ /字段定义/ { "type": "str", /字段类型,可选值:String,Str,Integer,Int,Smallint,Float,Long, Blob,/ /对于图片、PDF等使用Blob类型,并把值进行Base64编码,并加前缀:/ / "base64/pdf:" 字段值是PDF; "base64/jpg:" 字段值是jpg; "base64/png:" 字段值是png; "base64/gif:" 字段值是gif; / "size": 255, /字段长度/ "name": "HAWB", /字段名称,必须与打印模板中的打印项名称相同/ "required": false /字段是否必填/ }, { "type": "int", "size": 0, "name": "NO", "required": false }, { "type": "float", "size": 0, "name": "报关公司面单号", "required": false }, { "type": "integer", "size": 0, "name": "公司内部单号", "required": false }, { "type": "str", "size": 255, "name": "发件人", "required": false }, { "type": "str", "size": 255, "name": "发件人地址", "required": false }, { "type": "str", "size": 255, "name": "发件人电话", "required": false }, { "type": "str", "size": 255, "name": "发货国家", "required": false }, { "type": "str", "size": 255, "name": "收件人", "required": false }, { "type": "str", "size": 255, "name": "收件人地址", "required": false }, { "type": "str", "size": 255, "name": "收件人电话", "required": false }, { "type": "str", "size": 255, "name": 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} ] }, { "Name": "Table2", "Cols": [ { "type": "int", "size": 0, "name": "NO", "required": false }, { "type": "float", "size": 0, "name": "订单编号", "required": false }, { "type": "integer", "size": 0, "name": "下单日期", "required": false }, { "type": "str", "size": 255, "name": "下单平台", "required": false } ], "Data": [ { "NO": 1, "订单编号": 200303900791, "下单日期": "2017-01-20", "下单平台": "天猫" }, { "NO": 2, "订单编号": 200303900792, "下单日期": "2017-01-20", "下单平台": "京东" } ] } ] } 五、调用示例: <!-- ★★★ 模式1 ★★★ --> <!DOCTYPE html> <head> <meta charset="utf-8" /> <title>康虎云报表系统测试</title> </head> <body> <div style="width: 100%;text-align:center;"> <h2>康虎云报表系统</h2> <h3>打印测试(模式1)</h3> <div> <input type="button" id="btnPrint" value="打印" onClick="doSend(_reportData);" /> </div> </div> <div id="output"></div> </body> <script type="text/javascript"> //定义数据脚本 var _reportData = '{"template":"waybill.fr3","Cols":[{"type":"str","size":255,"name":"HAWB","required":false},<这里省略1000字> ]}'; //在浏览器控制台输出调试信息 console.log("reportData = " + _reportData); </script> <script language="javascript" type="text/javascript" src="cfprint.min.js"></script> <script language="javascript" type="text/javascript" src="cfprint_ext.js"></script> <script language="javascript" type="text/javascript"> /下面四个参数必须放在myreport.js脚本后面,以覆盖myreport.js中的默认值/ var _delay_send = 1000; //发送打印服务器前延时时长,-1则表示不自动打印 var _delay_close = 1000; //打印完成后关闭窗口的延时时长, -1则表示不关闭 var cfprint_addr = "127.0.0.1"; //打印服务器监听地址 var cfprint_port = 54321; //打印服务器监听端口 </script> </html> <!-- ★★★ 模式2 ★★★ --> <?php //如果有php运行环境,只需把该文件扩展名改成 .php,然后上传到web目录即可在真实服务器上测试 header("Access-Control-Allow-Origin: "); ?> <!DOCTYPE html> <head> <meta charset="utf-8" /> <title>康虎云报表系统测试</title> <style type="text/css"> output {font-size: 12px; background-color:F0FFF0;} </style> </head> <body> <div style="width: 100%;text-align:center;"> <h2>康虎云报表系统(Ver 1.3.0)</h2> <h3>打印测试(模式2)</h3> <div style="line-height: 1.5;"> <div style="width: 70%; text-align: left;"> <b>一、首先按下列步骤设置:</b><br/> 1、运行打印服务器;<br/> 2、按“停止”按钮停止服务;<br/> 3、打开“设置”区;<br/> 4、在“常用参数-->服务模式”中,选择“模式2”;<br/> 5、按“启动”按钮启动服务。 </div> <div style="width: 70%; text-align: left;"> <b>二、按本页的“打印”按钮开始打印。</b><br/> </div><br/> <input type="button" id="btnPrint" value="打印" /><br/><br/> <div style="width: 70%; text-align: left; font-size: 12px;"> 由于JavaScript在不同域名下访问会出现由来已久的跨域问题,所以正式部署到服务器使用时,要解决跨域问题。<br/> 对于IE8以上版本浏览器,只需增加一个reponse头:Access-Control-Allow-Origin即可,而对于php、jsp、asp/aspx等动态语言而言,增加一个response头是非常简单的事,例如:<br/> <b>在php:</b><br/><span style="color: red;"> <?php <br/> header("Access-Control-Allow-Origin: ");<br/> ?><br/> </span> <b>在jsp:</b><br/><span style="color: red;"> <% <br/> response.setHeader("Access-Control-Allow-Origin", ""); <br/> %><br/> </span> <b>在asp.net中:</b><br/><span style="color: red;"> Response.AppendHeader("Access-Control-Allow-Origin", ""); </span>,<br/>其他语言里,大家请自行搜索“ajax跨域”。而对于IE8以下的浏览器,大家可以自行搜索“IE6+Ajax+跨域”寻找解决办法吧,也可以联系我们帮助。 </div> </div> </div> <div id="output"></div> </body> <!-- 引入模式2所需的javascript支持库 --> <script type="text/javascript" src="cfprint_mode2.min.js" charset="UTF-8"></script> <!-- 构造报表数据 --> <script type="text/javascript"> var _reportData = '{"template":"waybill.fr3","ver":3, "Tables":[ {"Name":"Table1", "Cols":[{"type":"str","size":255,"name":"HAWB","required":false},{"type":"int","size":0,"name":"NO","required":false},{"type":"float","size":0,"name":"报关公司面单号","required":false},{"type":"integer","size":0,"name":"公司内部单号","required":false},{"type":"str","size":255,"name":"发件人","required":false},{"type":"str","size":255,"name":"发件人地址","required":false},{"type":"str","size":255,"name":"发件人电话","required":false},{"type":"str","size":255,"name":"发货国家","required":false},{"type":"str","size":255,"name":"收件人","required":false},{"type":"str","size":255,"name":"收件人地址","required":false},{"type":"str","size":255,"name":"收件人电话","required":false},{"type":"str","size":255,"name":"收货人证件号码","required":false},{"type":"str","size":255,"name":"收货省份","required":false},{"type":"float","size":0,"name":"总计费重量","required":false},{"type":"int","size":0,"name":"总件数","required":false},{"type":"float","size":0,"name":"申报总价(CNY)","required":false},{"type":"float","size":0,"name":"申报总价(JPY)","required":false},{"type":"int","size":0,"name":"件数1","required":false},{"type":"str","size":255,"name":"品名1","required":false},{"type":"float","size":0,"name":"单价1(JPY)","required":false},{"type":"str","size":255,"name":"单位1","required":false},{"type":"float","size":0,"name":"申报总价1(CNY)","required":false},{"type":"float","size":0,"name":"申报总价1(JPY)","required":false},{"type":"int","size":0,"name":"件数2","required":false},{"type":"str","size":255,"name":"品名2","required":false},{"type":"float","size":0,"name":"单价2(JPY)","required":false},{"type":"str","size":255,"name":"单位2","required":false},{"type":"float","size":0,"name":"申报总价2(CNY)","required":false},{"type":"float","size":0,"name":"申报总价2(JPY)","required":false},{"type":"int","size":0,"name":"件数3","required":false},{"type":"str","size":255,"name":"品名3","required":false},{"type":"float","size":0,"name":"单价3(JPY)","required":false},{"type":"str","size":255,"name":"单位3","required":false},{"type":"float","size":0,"name":"申报总价3(CNY)","required":false},{"type":"float","size":0,"name":"申报总价3(JPY)","required":false},{"type":"int","size":0,"name":"件数4","required":false},{"type":"str","size":255,"name":"品名4","required":false},{"type":"float","size":0,"name":"单价4(JPY)","required":false},{"type":"str","size":255,"name":"单位4","required":false},{"type":"float","size":0,"name":"申报总价4(CNY)","required":false},{"type":"float","size":0,"name":"申报总价4(JPY)","required":false},{"type":"int","size":0,"name":"件数5","required":false},{"type":"str","size":255,"name":"品名5","required":false},{"type":"float","size":0,"name":"单价5(JPY)","required":false},{"type":"str","size":255,"name":"单位5","required":false},{"type":"float","size":0,"name":"申报总价5(CNY)","required":false},{"type":"float","size":0,"name":"申报总价5(JPY)","required":false},{"type":"str","size":255,"name":"参考号","required":false},{"type":"AutoInc","size":0,"name":"ID","required":false}],"Data":[{"公司内部单号":730293,"发货国家":"日本","单价1(JPY)":null,"申报总价2(JPY)":null,"单价4(JPY)":null,"申报总价2(CNY)":null,"申报总价5(JPY)":null,"报关公司面单号":200303900791,"申报总价5(CNY)":null,"收货人证件号码":null,"申报总价1(JPY)":null,"单价3(JPY)":null,"申报总价1(CNY)":null,"申报总价4(JPY)":null,"申报总价4(CNY)":null,"收件人电话":"182-1758-9999","收件人地址":"上海市闵行区虹梅南路1660弄蔷薇八村139号502室","HAWB":"860014010055","发件人电话":"03-3684-9999","发件人地址":" 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CFPrint.parseJSON(responseText); alert(response.message+", 状态码["+response.result+"]"); }else{ alert('打印失败,HTTP状态代码是:'+httpStatus); } } / 参数: message: 错误信息 / var callbackFailed = function(message){ alert('发送打印任务出错: ' + message); } </script> <!-- 调用发送打印请求功能 --> <script type="text/javascript"> (function(){ document.getElementById("btnPrint").onclick = function() { CFPrint.outputid = "output"; //指定调试信息输出div的id CFPrint.SendRequest(_url, _reportData, callbackSuccess, callbackFailed); //发送打印请求 }; })(); </script> </html> 六、模板设计器(重要!重要!!,好多朋友都找不到设计器入口) 在主界面上,双击右下角的“设计”两个字,即可打开模板设计工具箱,在工具箱有三个按钮和一个大文本框。三个按钮的作用分别是: 设计:以大文本框中的json数据为数据源,打开模板设计器窗口; 预览:以大文本框中的json数据为数据源,预览当前所用模板的打印效果; 打印:以大文本框中的json数据为数据源,向打印机输出当前所用模板生成的报表; 以后将会有详细的模板设计教程发布,如果您遇到紧急的难题,请向作者咨询。 本篇文章为转载内容。原文链接:https://blog.csdn.net/chensongmol/article/details/76087600。 该文由互联网用户投稿提供,文中观点代表作者本人意见,并不代表本站的立场。 作为信息平台,本站仅提供文章转载服务,并不拥有其所有权,也不对文章内容的真实性、准确性和合法性承担责任。 如发现本文存在侵权、违法、违规或事实不符的情况,请及时联系我们,我们将第一时间进行核实并删除相应内容。
2023-04-01 18:34:12
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