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z*ihuo5>*kUF;C47Wafh+{wbQb!owbMQamlOxyVYE2)kV1`$V(3I_s5Sh2D*w4K(Y) z1+pylg4xfGgU`bMe)Aa!b@_4_`uM&lz@mG*tGGVght;6ed;+vyK$U8n@i?(dv8z(O zKwP^Fo za%H0;bWjl5?^6@2c8|&a^m;36ORyy?mSxc&MS2M$wY|C4^|pp1P}4@AA_(Na4tL(aRPWt(lC%ko3|`A+R=gW$jTHP@E;S*Z09<74cW)4ShADE!drJDksP&F0&T z6urypQ~eZhWsBe?SWZOadf#r(k!iTYv*Ng5%jFoCcVt?#M1vRNez1RX8-_A5A|bB;0?};5T9jQF?MiRrqoJ19ItL*W6@{p^yey z!*xr~t`5C$oDe1Gs*N3d9_E8|L^dd06vJHzyRzZt7*?z~R-y8GEoi~)LjUJ#-pb+- zVraee>Z1RC!R5qHyM3oaN2KFP1NTMoYlW-rHBfGnIA7C`a9Xe^_-_SRrXVaYTnX>e zkeco%^tmauH+68r^6xPPhD8e#mM0I=e|X6+zFvPRiLUz}QpW#1*xlee{vYs-*(~__ z4bWxgKePD{aO3}XFoPqq{$u(-P#9R*U3D#aX2(v4 zxc&?Ou+s*mgnDs+byp8OQ0uM#8x_-iJsQ8k<0g15-2~BqV|4>X^HuhTN7GmsHq0ZV-o((m{|D~gh`k Date: Fri, 8 Sep 2023 15:28:30 +0800 Subject: [PATCH 03/10] fix typo --- src/pages/home/languages.json | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/pages/home/languages.json b/src/pages/home/languages.json index 9c355312f..8e5ed3c4e 100644 --- a/src/pages/home/languages.json +++ b/src/pages/home/languages.json @@ -61,8 +61,8 @@ }, { "icon": "lni-bug", - "title": "调式代码", - "description": "传入约定的任务配置,开始本地代码调式" + "title": "调试代码", + "description": "传入约定的任务配置,开始本地代码调试" }, { "icon": "lni-bolt-alt", From fde565027ec962fc5aa23a7379dfd86f991d8531 Mon Sep 17 00:00:00 2001 From: caicancai <2356672992@qq.com> Date: Fri, 8 Sep 2023 18:46:20 +0800 Subject: [PATCH 04/10] improve deployment.md --- docs/user-guide/1-deployment.md | 2 +- .../current/user-guide/1-deployment.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/user-guide/1-deployment.md b/docs/user-guide/1-deployment.md index e1405aac9..6002b5415 100755 --- a/docs/user-guide/1-deployment.md +++ b/docs/user-guide/1-deployment.md @@ -110,7 +110,7 @@ In the installation process of versions before 1.2.1, there is no need to manual ├── logs // log dir ├── temp // temp dir, don't remove ``` -If streampark first installation, execute the script under the `schema` and `data` directories in sequence, and if it is an upgrade, execute under `upgrade` sql file of the corresponding version number. +If streampark first installation, need to connect to the corresponding database client to execute the script under the `schema` and `data` directories in sequence, and if it is an upgrade, execute under `upgrade` sql file of the corresponding version number. ##### Modify the configuration The installation and unpacking have been completed, and the next step is to prepare the data-related work diff --git a/i18n/zh-CN/docusaurus-plugin-content-docs/current/user-guide/1-deployment.md b/i18n/zh-CN/docusaurus-plugin-content-docs/current/user-guide/1-deployment.md index c7b24a3db..a9833c431 100755 --- a/i18n/zh-CN/docusaurus-plugin-content-docs/current/user-guide/1-deployment.md +++ b/i18n/zh-CN/docusaurus-plugin-content-docs/current/user-guide/1-deployment.md @@ -94,7 +94,7 @@ streampark-console-service-1.2.1 │ │ ├── 1.2.3.sql //升级到 1.2.3版本需要执行的升级sql │ │ └── 2.0.0.sql //升级到 2.0.0版本需要执行的升级sql ``` -如果是初次安装, 依次执行 `schema` 和 `data` 目录下对应数据库的脚本文件即可, 如果是升级, 则执行对应的版本号的sql即可. +如果是初次安装, 需要连接对应的数据库客户端依次执行 `schema` 和 `data` 目录下对应数据库的脚本文件即可, 如果是升级, 则执行对应的版本号的sql即可. ##### 修改配置 From 21083f47445a393b23019d4cf2902fda9d59a503 Mon Sep 17 00:00:00 2001 From: caicancai <2356672992@qq.com> Date: Sun, 10 Sep 2023 18:48:39 +0800 Subject: [PATCH 05/10] Align English documents --- .../current/intro.md | 23 ++++--------------- 1 file changed, 5 insertions(+), 18 deletions(-) diff --git a/i18n/zh-CN/docusaurus-plugin-content-docs/current/intro.md b/i18n/zh-CN/docusaurus-plugin-content-docs/current/intro.md index e787093a0..13d2db6b5 100644 --- a/i18n/zh-CN/docusaurus-plugin-content-docs/current/intro.md +++ b/i18n/zh-CN/docusaurus-plugin-content-docs/current/intro.md @@ -19,24 +19,11 @@ make stream processing easier!!! ## 🎉 Features -* 开发脚手架 -* 多版本Flink支持(1.11、1.12、1.13、1.14、1.15) -* 一系列开箱即用的connectors -* 支持项目编译功能(maven 编译) -* 在线参数配置 -* 支持`Application` 模式, `Yarn-Per-Job`模式启动 -* 快捷的日常操作(任务`启动`、`停止`、`savepoint`以及从`savepoint`恢复) -* 支持火焰图 -* 支持`notebook`(在线任务开发) -* 项目配置和依赖版本化管理 -* 支持任务备份、回滚(配置回滚) -* 在线管理依赖(maven pom)和自定义jar -* 自定义udf、连接器等支持 -* Flink SQL WebIDE -* 支持catalog、hive -* 任务运行失败发送告警邮件(支持钉钉、微信、邮件、飞书等) -* 支持失败重启重试 -* 从任务`开发`阶段到`部署管理`全链路支持 +* Apache Flink & Spark 应用程序开发脚手架 +* 支持多个版本的 Flink & Spark +* 一系列开箱即用的连接器 +* 一站式流处理运营平台 +* 支持catalog、olap、streaming-warehouse等 * ... ## 🏳‍🌈 组成部分 From 73894c2aca061dc490759100fdae2192b989257f Mon Sep 17 00:00:00 2001 From: caicancai <2356672992@qq.com> Date: Sun, 10 Sep 2023 18:59:08 +0800 Subject: [PATCH 06/10] Align English documents --- i18n/zh-CN/docusaurus-plugin-content-docs/current/intro.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/i18n/zh-CN/docusaurus-plugin-content-docs/current/intro.md b/i18n/zh-CN/docusaurus-plugin-content-docs/current/intro.md index 13d2db6b5..23392ce23 100644 --- a/i18n/zh-CN/docusaurus-plugin-content-docs/current/intro.md +++ b/i18n/zh-CN/docusaurus-plugin-content-docs/current/intro.md @@ -21,7 +21,7 @@ make stream processing easier!!! * Apache Flink & Spark 应用程序开发脚手架 * 支持多个版本的 Flink & Spark -* 一系列开箱即用的连接器 +* 一系列开箱即用的connectors * 一站式流处理运营平台 * 支持catalog、olap、streaming-warehouse等 * ... From 611592a82dbe6c74189019f8c643e36dfc9fe97f Mon Sep 17 00:00:00 2001 From: caicancai <2356672992@qq.com> Date: Mon, 11 Sep 2023 22:47:54 +0800 Subject: [PATCH 07/10] add blog --- ...37\344\272\247\345\256\236\350\267\265.md" | 210 ++++++++++++++++++ 1 file changed, 210 insertions(+) create mode 100644 "blog/StreamPark \345\234\250\351\241\272\347\275\221\347\247\221\346\212\200\347\232\204\345\244\247\350\247\204\346\250\241\347\224\237\344\272\247\345\256\236\350\267\265.md" diff --git "a/blog/StreamPark \345\234\250\351\241\272\347\275\221\347\247\221\346\212\200\347\232\204\345\244\247\350\247\204\346\250\241\347\224\237\344\272\247\345\256\236\350\267\265.md" "b/blog/StreamPark \345\234\250\351\241\272\347\275\221\347\247\221\346\212\200\347\232\204\345\244\247\350\247\204\346\250\241\347\224\237\344\272\247\345\256\236\350\267\265.md" new file mode 100644 index 000000000..c68a4dc27 --- /dev/null +++ "b/blog/StreamPark \345\234\250\351\241\272\347\275\221\347\247\221\346\212\200\347\232\204\345\244\247\350\247\204\346\250\241\347\224\237\344\272\247\345\256\236\350\267\265.md" @@ -0,0 +1,210 @@ +# StreamPark 在顺网科技的大规模生产实践 + +![图片](https://mmbiz.qpic.cn/mmbiz_png/8LQOHpLWEkEbtoM7dmRFX4tdJHGx4WQPW8U1yNxvmOeQxJwsLaVVAYOphG0Ec1eP3M6JzCKwIbJy3dhliaodFicQ/640?wx_fmt=png&wxfrom=13&tp=wxpic) + +**导读:**本文主要介绍顺网科技在使用 Flink 计算引擎中遇到的一些挑战,基于 StreamPark 作为实时数据平台如何来解决这些问题,从而大规模支持公司的业务。 + + + +- 公司业务介绍 +- 遇到的挑战 +- 为什么用 StreamPark +- 落地实践 +- 带来的收益 +- 未来规划 + +## **公司业务介绍** + +杭州顺网科技股份有限公司成立于 2005 年,秉承科技连接快乐的企业使命,是国内具有影响力的泛娱乐技术服务平台之一。多年来公司始终以产品和技术为驱动,致力于以数字化平台服务为人们创造沉浸式的全场景娱乐体验。 + + + +自顺网科技成立以来,随着业务快速发展,顺网科技服务了 8 万家线下实体店,拥有超过 5000 万互联网用户,年触达超 1.4 亿网民,每 10 家公共上网服务场所有 7 家使用顺网科技产品。 + +在拥有庞大的用户群体的情况下,顺网科技为了给用户提供更加优质的产品体验,实现企业的数字化转型,从 2015 年开始大力发展大数据, Flink 在顺网科技的实时计算中一直扮演着重要的角色。在顺网科技,实时计算大概分为 4 个应用场景: + +- 用户画像实时更新:包括网吧画像和网民画像。 +- 实时风控:包括活动防刷、异地登录监测等。 +- 数据同步:包括 Kafka 数据同步到 Hive / Iceberg / ClickHouse 等。 +- 实时数据分析:包括游戏、语音、广告、直播等业务实时大屏。 + +到目前为止,顺网科技每日需要处理 TB 级别的数据,总共拥有 700+ 个实时任务,其中 FlinkSQL 任务占比为 95% 以上。随着公司业务快速发展和数据时效性要求变高,预计在今年年底 Flink 任务会达到 900+。 + +## **遇到的挑战** + +Flink 作为当下实时计算领域中最流行的技术框架之一,拥有高吞吐、低延迟、有状态计算等强大的特性。在探索中我们发现 Flink 虽然拥有强大的计算能力,但是对于作业开发管理和运维问题,社区并没有提供有效的解决方案。我们对 Flink 作业开发管理上遇到的一些痛点大概总结为 4 个方面,如下: + +![图片](https://mmbiz.qpic.cn/mmbiz_png/8LQOHpLWEkEhXheAYFK1sfJjCjgbtI4NSFv9icdvlLbet7PicRu05ictm4epSHYdYGoJ8LEU5ZIZ8Qbic8iaZAy4odg/640?wx_fmt=png&tp=wxpic&wxfrom=5&wx_lazy=1&wx_co=1) + +在面对 Flink 作业管理和运维上的的一系列痛点后,我们一直在寻找合适的解决方案来降低开发同学使用 Flink 门槛,提高工作效率。 + +在没有遇到 StreamPark 之前,我们调研了部分公司的 Flink 管理解决方案,发现都是通过自研实时作业平台的方式来开发和管理 Flink 作业。于是,我们也决定自研一套实时计算管理平台,来满足了开发同学对于 Flink 作业管理和运维的基础需求,我们这套平台叫 Streaming-Launcher,大体功能如下: + +![图片](https://mmbiz.qpic.cn/mmbiz_png/8LQOHpLWEkEhXheAYFK1sfJjCjgbtI4NxHegtXL80u2K6Nzia5hszBRfNpYkfEn5geibnEjwX2J4Giah4wYPzI0AQ/640?wx_fmt=png&tp=wxpic&wxfrom=5&wx_lazy=1&wx_co=1) + +但是后续开发同学在使用过程中,发现 Streaming-Launcher 存在比较多的缺陷:Flink 开发成本依然过高、工作效率低下、问题排查困难。我们总结了 Streaming-Launcher 存在的缺陷,大致如下: + +### **SQL开发流程繁琐** + +作业务开发需要多个工具完成一个 SQL 作业开发,提高了开发同学的使用门槛。 + +![cc0b1414ed43942e0ef5e9129c2bf817](D:\微信\WeChat Files\wxid_21agvh8tmps422\FileStorage\Temp\cc0b1414ed43942e0ef5e9129c2bf817.png) + +### **SQL-Client 存在弊端** + +Flink 提供的 SQL-Client 目前对作业运行模式支持上,存在一定的弊端。 + +![图片](https://mmbiz.qpic.cn/mmbiz_png/8LQOHpLWEkEIFJ9vc4kpTq4crILBzic447iaL9fTfvx8vAFeJbjLSBa1rjSu2KFZxQiaNObibtELUnRz4SkgfnPF7Q/640?wx_fmt=png&tp=wxpic&wxfrom=5&wx_lazy=1&wx_co=1) + +### **作业缺少统一管理** + +Streaming-Launcher 中,没有提供统一的作业管理界面。开发同学无法直观的看到作业运行情况,只能通过告警信息来判断作业运行情况,这对开发同学来说非常不友好。如果因为 Yarn 集群稳定性问题或者网络波动等不确定因素,一下子失败大批量任务,在开发同学手动恢复作业的过程中,很容易漏恢复某个任务而造成生产事故。 + +### **问题诊断流程繁琐** + +一个作业查看日志需要通过多个步骤,一定程度上降低了开发同学工作效率。 + +![图片](https://mmbiz.qpic.cn/mmbiz_png/8LQOHpLWEkHTibicjJabccfMGOia2RLqBFmzkZcbNyY8pkXvU87wdlbDO2BdzPqAIylDTEqM48qlIaRsP89WjkdLQ/640?wx_fmt=png&tp=wxpic&wxfrom=5&wx_lazy=1&wx_co=1) + +## **为什么用** **StreamPark** + +面对自研平台 Streaming-Launcher 存在的缺陷,我们一直在思考如何将 Flink 的使用门槛降到更低,进一步提高工作效率。考虑到人员投入成本和时间成本,我们决定向开源社区求助寻找合适的开源项目来对我们的 Flink 任务进行管理和运维。 + + + +### 01 **StreamPark 解决 Flink 问题的利器** + +很幸运在 2022 年 6 月初,我们在 GitHub 机缘巧合之间认识到了 StreamPark,我们满怀希望地对 StreamPark 进行了初步的探索。发现 StreamPark 具备的能力大概分为三大块:用户权限管理、作业运维管理和开发脚手架。 + +**用户权限管理** + +在 StreamPark 平台中为了避免用户权限过大,发生一些不必要的误操作,影响作业运行稳定性和环境配置的准确性,提供了相应的一些用户权限管理功能,这对企业级用户来说,非常有必要。 + + + +![图片](https://mmbiz.qpic.cn/mmbiz_png/8LQOHpLWEkEbtoM7dmRFX4tdJHGx4WQPia7qhRjkEqncRibWcDEicxkzbn455F8jIjCUYLPfwVregiaUtBQF4G73lw/640?wx_fmt=png&tp=wxpic&wxfrom=5&wx_lazy=1&wx_co=1) + + + +**作业运维管理** + +**我们在对 StreamPark 做调研的时候,最关注的是 StreamPark 对于作业的管理的能力。**StreamPark 是否有能力管理作业一个完整的生命周期:作业开发、作业部署、作业管理、问题诊断等。**很幸运,StreamPark 在这一方面非常优秀,对于开发同学来说只需要关注业务本身,不再需要特别关心 Flink 作业管理和运维上遇到的一系列痛点。**在 StreamPark 作业开发管理管理中,大致分为三个模块:作业管理基础功能,Jar 作业管理,FlinkSQL 作业管理。如下: + +![图片](https://mmbiz.qpic.cn/mmbiz_png/8LQOHpLWEkEhXheAYFK1sfJjCjgbtI4NQWOK83Rj8wOswaGUmvhq2Xm9hkRH4fo2xa4zM0JMrMek0iadSo96dMw/640?wx_fmt=png&tp=wxpic&wxfrom=5&wx_lazy=1&wx_co=1) + +**开发脚手架** + +通过进一步的研究发现,StreamPark 不仅仅是一个平台,还包含 Flink 作业开发脚手架, 在 StreamPark 中,针对编写代码的 Flink 作业,提供一种更好的解决方案,将程序配置标准化,提供了更为简单的编程模型,同时还提供了一些列 Connectors,降低了 DataStream 开发的门槛。 + + + +![图片](https://mmbiz.qpic.cn/mmbiz_png/8LQOHpLWEkEbtoM7dmRFX4tdJHGx4WQPuqiaEzJKYONLMaarWlHoV49RPsdBWfC8YWnYbpffPduzXBVD9wW4KGQ/640?wx_fmt=png&tp=wxpic&wxfrom=5&wx_lazy=1&wx_co=1) + + + + + +### 02 **StreamPark 解决自研平台的问题** + +上面我们简单介绍了 StreamPark 的核心能力。在顺网科技的技术选型过程中,我们发现 StreamPark 所具备强大的功能不仅包含了现有 Streaming-Launcher 的基础功能,还提供了更完整的对应方案解决了 Streaming-Launcher 的诸多不足。在这部分,着重介绍下 StreamPark 针对我们自研平台 Streaming-Launcher 的不足所提供的解决方案。 + + + +![图片](https://mmbiz.qpic.cn/mmbiz_png/8LQOHpLWEkEbtoM7dmRFX4tdJHGx4WQPNa2AaQ5kiafWRnXC8XdMicGIs2mfsAnosxvdXA0g8K2T4ozficyu66v2w/640?wx_fmt=png&tp=wxpic&wxfrom=5&wx_lazy=1&wx_co=1) + + + +**Flink 作业一站式的开发能力** + +StreamPark 为了降低 Flink 作业开发门槛,提高开发同学工作效率,**提供了 FlinkSQL IDE、参数管理、任务管理、代码管理、一键编译、一键作业上下线等使用的功能**。在调研中,我们发现 StreamPark 集成的这些功能可以进一步提升开发同学的工作效率。在某种程度上来说,开发同学不需要去关心 Flink 作业管理和运维的难题,只要专注于业务的开发。同时,这些功能也解决了 Streaming-Launcher 中 SQL 开发流程繁琐的痛点。 + +![图片](https://mmbiz.qpic.cn/mmbiz_png/8LQOHpLWEkE94t7z6zrlxvicpbicyGURUVdkDXpxITdZwoG8DoOs28nQdNepvReQcicdcPic746Zjl06tAbt933OYQ/640?wx_fmt=png&tp=wxpic&wxfrom=5&wx_lazy=1&wx_co=1) + +**支持多种部署模式** + +在 Streaming-Launcher 中,由于只支持 Yarn Session 模式,对于开发同学来说,其实非常不灵活。StreamPark 对于这一方面也提供了完善的解决方案。**StreamPark 完整的支持了Flink 的所有部署模式:Remote、Yarn Per-Job、Yarn Application、Yarn Session、K8s Session、K8s Application****,**可以让开发同学针对不同的业务场景自由选择合适的运行模式。** + +**作业统一管理中心** + +对于开发同学来说,作业运行状态是他们最关心的内容之一。在 Streaming-Launcher 中由于缺乏作业统一管理界面,开发同学只能通过告警信息和 Yarn 中Application 的状态信息来判断任务状态,这对开发同学来说非常不友好。StreamPark 针对这一点,提供了作业统一管理界面,可以一目了然查看到每个任务的运行情况。 + +![图片](https://mmbiz.qpic.cn/mmbiz_png/8LQOHpLWEkE94t7z6zrlxvicpbicyGURUVeI5WYgDBIa5ekHQy6ibjuSmuQxBqOq1ouK2dRicuiaTianrh45tAzmy0Aw/640?wx_fmt=png&tp=wxpic&wxfrom=5&wx_lazy=1&wx_co=1) + +在 Streaming-Launcher 中,开发同学在作业问题诊断的时候,需要通过多个步骤才能定位作业运行日志。StreamPark 提供了一键跳转功能,能快速定位到作业运行日志。 + +![图片](https://mmbiz.qpic.cn/mmbiz_png/8LQOHpLWEkE94t7z6zrlxvicpbicyGURUVdGojneNhiaiblJ772gNicKg92CibQeDbGiac6cC94HFPnKT85fNoibPlB5dg/640?wx_fmt=png&tp=wxpic&wxfrom=5&wx_lazy=1&wx_co=1) + + + +## 落 地 实 践 + +在 StreamPark 引入顺网科技时,由于公司业务的特点和开发同学的一些定制化需求,我们对 StreamPark 的功能做了一些增加和优化,同时也总结了一些在使用过程中遇到的问题和对应的解决方案。 + +### 01 **结合 Flink-SQL-Gateway 的能力** + +在顺网科技,我们基于 Flink-SQL-Gateway 自研了 ODPS 平台来方便业务开发同学管理 Flink 表的元数据。业务开发同学在 ODPS 上对 Flink 表进行 DDL 操作,然后在 StreamPark 上对创建的 Flink 表进行分析查询操作。在整个业务开发流程上,我们对 Flink 表的创建和分析实现了解耦,让开发流程显得比较清晰。 + +开发同学如果想在 ODPS 上查询实时数据,我们需要提供一个 Flink SQL 的运行环境。我们使用 StreamPark 运行了一个 Yarn Session 的 Flink 环境提供给 ODPS 做实时查询。 + +![图片](https://mmbiz.qpic.cn/mmbiz_png/8LQOHpLWEkE94t7z6zrlxvicpbicyGURUVHj8ibrbUsjWRkiboibcsxCMQZQ0iaJt2ackKIQahvlUo27jzOWJnVYwia2Q/640?wx_fmt=png&tp=wxpic&wxfrom=5&wx_lazy=1&wx_co=1) + +目前 StreamPark 社区为了进一步降低实时作业开发门槛,正在对接 Flink-SQL-Gateway。 + +https://github.com/apache/streampark/issues/2274 + + + +### 02 **增强 Flink 集群管理能力** + +在顺网科技,存在大量从 Kafka 数据同步到 Iceberg / PG / Clickhouse / Hive 的作业。这些作业需要的 Yarn 对于资源要求和时效性要求不高,但是如果全部使用 Yarn Application 和 per-job 模式,每个任务都会启动 JobManager,那么会造成 Yarn 资源的浪费。对此,我们决定使用 Yarn Session 模式运行这些大量的数据同步作业。 + +在实践中我们发现业务开发同学很难直观的知道在每个 Yarn Session 中运行了多少个作业,其中包括作业总数和正在运行中的作业数量。基于这个原因,我们为了方便开发同学可以直观地观察到 Yarn Session 中的作业数量,在 Flink Cluster 界面增加了 All Jobs 和 Running Jobs 来表示在一个 Yarn Session 中总的作业数和正在运行的作业数。 + +![图片](https://mmbiz.qpic.cn/mmbiz_png/8LQOHpLWEkE94t7z6zrlxvicpbicyGURUV5RauxXc5M1qmRXpGXgpiak3SAMMv6a8McqRQiaNh7dCicKNkhv1ZqppIg/640?wx_fmt=png&tp=wxpic&wxfrom=5&wx_lazy=1&wx_co=1) + + + +### 03 **增强告警能力** + +因为每个公司的短信告警平台实现都各不相同,所以 StreamPark 社区并没有抽象出统一的短信告警功能。在此,我们通过 Webhook 的方式,自己实现了短信告警功能。 + +![图片](https://mmbiz.qpic.cn/mmbiz_png/8LQOHpLWEkE94t7z6zrlxvicpbicyGURUVTbF4r2OjV6iafQYC2wsfnFXcmlFRPhKfIGtYrruqCh0KiasbwCudIAIw/640?wx_fmt=png&tp=wxpic&wxfrom=5&wx_lazy=1&wx_co=1) + + + +### 04 **增加阻塞队列解决限流问题** + +在生产实践中,我们发现在大批量任务同时失败的时候,比如 Yarn Session 集群挂了,飞书 / 微信等平台在多线程同时调用告警接口时会存在限流的问题,那么大量的告警信息因为飞书 / 微信等平台限流问题,StreamPark 只会发送一部分的告警信息,这样非常容易误导开发同学排查问题。在顺网科技,我们增加了一个阻塞队列和一个告警线程,来解决限流问题。 + +![图片](https://mmbiz.qpic.cn/mmbiz_png/8LQOHpLWEkEhXheAYFK1sfJjCjgbtI4NIORYnzIIa5icwVNicHkfOxta5fXHXOcLLT5iacrySyMuoPgQILtE8eK3Q/640?wx_fmt=png&tp=wxpic&wxfrom=5&wx_lazy=1&wx_co=1) + +当作业监控调度器检测到作业异常时,会产生一条作业异常的消息发送的阻塞队列中,在告警线程中会一直消费阻塞队列中的消息,在得到作业异常消息后则会根据用户配置的告警信息单线程发送到不同的平台中。虽然这样做可能会让用户延迟收到告警,但是我们在实践中发现同时有 100+ 个 Flink 作业失败,用户接受到告警的延迟时间小于 3s。对于这种延迟时间,我们业务开发同学完全是可以接受的。该改进目前已经记录 ISSUE,正在考虑贡献到社区中。 + +https://github.com/apache/streampark/issues/2142 + + + +## 带来的收益 + +我们从 StreamX 1.2.3(StreamPark 前身)开始探索和使用,经过一年多时间的磨合,我们发现 StreamPark 真实解决了 Flink 作业在开发管理和运维上的诸多痛点。 + +StreamPark 给顺网科技带来的最大的收益就是降低了 Flink 的使用门槛,提升了开发效率。我们业务开发同学在原先的 Streaming-Launcher 中需要使用 vscode、GitLab 和调度平台等多个工具完成一个 FlinkSQL 作业开发,从开发到编译到发布的流程中经过多个工具使用,流程繁琐。StreamPark 提供一站式服务,可以在 StreamPark 上完成作业开发编译发布,简化了整个开发流程。 + +**目前 StreamPark 在顺网科技已经大规模在生产环境投入使用,StreamPark 从最开始管理的 500+ 个 FlinkSQL 作业增加到了近 700 个 FlinkSQL作业,同时管理了 10+ 个 Yarn Sesssion Cluster。** + +![图片](https://mmbiz.qpic.cn/mmbiz_png/8LQOHpLWEkE94t7z6zrlxvicpbicyGURUVeI5WYgDBIa5ekHQy6ibjuSmuQxBqOq1ouK2dRicuiaTianrh45tAzmy0Aw/640?wx_fmt=png&tp=wxpic&wxfrom=5&wx_lazy=1&wx_co=1) + +![图片](https://mmbiz.qpic.cn/mmbiz_png/8LQOHpLWEkE94t7z6zrlxvicpbicyGURUVHOMXiaE56bVtic5sYmHLaDFbVAdNQlz2HBBTJyrLoIT8wkCB6Bic2TVXg/640?wx_fmt=png&tp=wxpic&wxfrom=5&wx_lazy=1&wx_co=1) + +## + +## **未 来** 规 划 + +顺网科技作为 StreamPark 早期的用户之一,在 1 年期间内一直和社区同学保持交流,参与 StreamPark 的稳定性打磨,我们将生产运维中遇到的 Bug 和新的 Feature 提交给了社区。在未来,我们希望可以在 StreamPark 上管理 Flink 表的元数据信息,基于 Flink 引擎通过多 Catalog 实现跨数据源查询分析功能。目前 StreamPark 正在对接 Flink-SQL-Gateway 能力,这一块在未来对于表元数据的管理和跨数据源查询功能会提供了很大的帮助。 + +由于在顺网科技多是已 Yarn Session 模式运行的作业,我们希望 StreamPark 可以提供更多对于 Remote集群、Yarn Session 集群和 K8s Session 集群功能支持,比如监控告警,优化操作流程等方面。 + +考虑到未来,随着业务发展可能会使用 StreamPark 管理更多的 Flink 实时作业,单节点模式下的 StreamPark 可能并不安全。所以我们对于 StreamPark 的 HA 也是非常期待。 + +对于 StreamPark 对接 Flink-SQL-Gateway 能力、丰富 Flink Cluster 功能和 StreamPark HA,我们后续也会参与建设中。 + From ec99c02f4b58671cfe94e5c80b79c61da1d8a48c Mon Sep 17 00:00:00 2001 From: caicancai <2356672992@qq.com> Date: Wed, 20 Sep 2023 21:03:08 +0800 Subject: [PATCH 08/10] Fix incorrect image links --- docs/development/model.md | 2 +- .../docusaurus-plugin-content-docs/current/development/model.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/development/model.md b/docs/development/model.md index 164032e73..809e61d95 100644 --- a/docs/development/model.md +++ b/docs/development/model.md @@ -22,7 +22,7 @@ Let's start from these aspects ## Architecture -[]("/doc/image_en/streampark_archite.png") +![](/doc/image_en/streampark_archite.png) ## Programming paradigm `streampark-core` is positioned as a programming time framework, rapid development scaffolding, specifically created to simplify Flink development. Developers will use this module during the development phase. Let's take a look at what the programming paradigm of `DataStream` and `Flink Sql` with StreamPark looks like, and what the specifications and requirements are. diff --git a/i18n/zh-CN/docusaurus-plugin-content-docs/current/development/model.md b/i18n/zh-CN/docusaurus-plugin-content-docs/current/development/model.md index cc04a961f..bec708e74 100755 --- a/i18n/zh-CN/docusaurus-plugin-content-docs/current/development/model.md +++ b/i18n/zh-CN/docusaurus-plugin-content-docs/current/development/model.md @@ -21,7 +21,7 @@ import TabItem from '@theme/TabItem'; ## 架构 -[]("/doc/image/streampark_archite.png") +![](/doc/image/streampark_archite.png) ## 编程模型 From b908c180fce14315d196ff59b533ebc8f2582581 Mon Sep 17 00:00:00 2001 From: caicancai <2356672992@qq.com> Date: Sun, 24 Sep 2023 23:04:41 +0800 Subject: [PATCH 09/10] add scala development --- docs/user-guide/3-localDevelopmentAndDebugging.md | 1 + .../current/user-guide/3-localDevelopmentAndDebugging.md | 1 + 2 files changed, 2 insertions(+) diff --git a/docs/user-guide/3-localDevelopmentAndDebugging.md b/docs/user-guide/3-localDevelopmentAndDebugging.md index 7a2301482..fa2fbaf3b 100755 --- a/docs/user-guide/3-localDevelopmentAndDebugging.md +++ b/docs/user-guide/3-localDevelopmentAndDebugging.md @@ -11,6 +11,7 @@ sidebar_position: 3 - npm 7.11.2 ( https://nodejs.org/en/ ) - pnpm (npm install -g pnpm) - JDK 1.8+ +- Scala 2.12.x ### Clone the Source Code diff --git a/i18n/zh-CN/docusaurus-plugin-content-docs/current/user-guide/3-localDevelopmentAndDebugging.md b/i18n/zh-CN/docusaurus-plugin-content-docs/current/user-guide/3-localDevelopmentAndDebugging.md index 68f5bce6a..84004774e 100755 --- a/i18n/zh-CN/docusaurus-plugin-content-docs/current/user-guide/3-localDevelopmentAndDebugging.md +++ b/i18n/zh-CN/docusaurus-plugin-content-docs/current/user-guide/3-localDevelopmentAndDebugging.md @@ -11,6 +11,7 @@ sidebar_position: 3 - npm 7.11.2 ( https://nodejs.org/en/ ) - pnpm (npm install -g pnpm) - JDK 1.8+ +ad- Scala 2.12.x ### clone源码 From 42c27a5d201fa2f712cbe7da67204c3848836387 Mon Sep 17 00:00:00 2001 From: caicancai <2356672992@qq.com> Date: Fri, 29 Sep 2023 15:55:01 +0800 Subject: [PATCH 10/10] [Improve] add a new blog(Joyme) --- ...24\345\221\265\346\210\220\357\274\201.md" | 246 ++++++++++++++++++ static/blog/Joyme/add_dependency.png | Bin 0 -> 66431 bytes .../blog/Joyme/add_projectconfiguration.png | Bin 0 -> 52897 bytes static/blog/Joyme/alarm_eamil.png | Bin 0 -> 237201 bytes static/blog/Joyme/application_interface.png | Bin 0 -> 157426 bytes static/blog/Joyme/application_job.png | Bin 0 -> 135003 bytes .../blog/Joyme/checkpoint_configuration.png | Bin 0 -> 163592 bytes static/blog/Joyme/email_setting.png | Bin 0 -> 44536 bytes static/blog/Joyme/flink_system.png | Bin 0 -> 54347 bytes static/blog/Joyme/project_configuration.png | Bin 0 -> 52385 bytes static/blog/Joyme/start_log.png | Bin 0 -> 15848 bytes static/blog/Joyme/system_setting.png | Bin 0 -> 47347 bytes static/blog/Joyme/yarn_log.png | Bin 0 -> 25085 bytes 13 files changed, 246 insertions(+) create mode 100644 "blog/StreamPark \345\234\250 Joyme \347\232\204\347\224\237\344\272\247\345\256\236\350\267\265\357\274\214\344\273\216\351\201\207\350\247\201\345\210\260\347\233\270\347\210\261\344\270\200\346\260\224\345\221\265\346\210\220\357\274\201.md" create mode 100644 static/blog/Joyme/add_dependency.png create mode 100644 static/blog/Joyme/add_projectconfiguration.png create mode 100644 static/blog/Joyme/alarm_eamil.png create mode 100644 static/blog/Joyme/application_interface.png create mode 100644 static/blog/Joyme/application_job.png create mode 100644 static/blog/Joyme/checkpoint_configuration.png create mode 100644 static/blog/Joyme/email_setting.png create mode 100644 static/blog/Joyme/flink_system.png create mode 100644 static/blog/Joyme/project_configuration.png create mode 100644 static/blog/Joyme/start_log.png create mode 100644 static/blog/Joyme/system_setting.png create mode 100644 static/blog/Joyme/yarn_log.png diff --git "a/blog/StreamPark \345\234\250 Joyme \347\232\204\347\224\237\344\272\247\345\256\236\350\267\265\357\274\214\344\273\216\351\201\207\350\247\201\345\210\260\347\233\270\347\210\261\344\270\200\346\260\224\345\221\265\346\210\220\357\274\201.md" "b/blog/StreamPark \345\234\250 Joyme \347\232\204\347\224\237\344\272\247\345\256\236\350\267\265\357\274\214\344\273\216\351\201\207\350\247\201\345\210\260\347\233\270\347\210\261\344\270\200\346\260\224\345\221\265\346\210\220\357\274\201.md" new file mode 100644 index 000000000..1147d9b31 --- /dev/null +++ "b/blog/StreamPark \345\234\250 Joyme \347\232\204\347\224\237\344\272\247\345\256\236\350\267\265\357\274\214\344\273\216\351\201\207\350\247\201\345\210\260\347\233\270\347\210\261\344\270\200\346\260\224\345\221\265\346\210\220\357\274\201.md" @@ -0,0 +1,246 @@ +# StreamPark 在 Joyme 的生产实践,从遇见到相爱一气呵成! + +**摘要:**本文带来 StreamPark 在 Joyme 中的生产实践, 作者是 Joyme 的大数据工程师秦基勇, 主要内容为: + +1. 遇见StreamPark +2. Flink Sql 作业开发 +3. Custom code 作业开发 +4. 监控告警 +5. 常见问题 +6. 社区印象 +7. 总结 + + + +## 01 遇见 StreamPark + +遇见 StreamPark 是必然的,基于我们现有的实时作业开发模式,不得不寻找一个开源的平台来支撑我司的实时业务。我们的现状如下: + +- 编写作业打包到服务器,然后执行 Flink run 命令进行提交,过程繁琐,效率低下 +- Flink Sql 通过自研的老平台提交,老平台开发人员已离职,后续的代码无人维护,即便有人维护也不得不面对维护成本高的问题 +- 其中一部分作者是 SparkStreaming 作业,两套流引擎,框架不统一,开发成本大 +- 实时作业有 Scala 和 Java 开发,语言和技术栈不统一 + +基于以上种种原因,我们需要一个开源平台来管理我们的实时作业,同时我们也需要进行重构,统一开发模式,统一开发语言,将项目集中管理。 + +第一次遇见 StreamPark 就基本确定了,我们根据官网的文档快速进行了部署安装,搭建以后进行了一些操作,界面友好,Flink 多版本支持,权限管理,作业监控等一系列功能已能较好的满足我们的需求,进一步了解到其社区也很活跃,从 1.1.0 版本开始见证了 StreamPark 功能完善的过程,开发团队是非常有追求的,相信会不断的完善。 + +## 02 Flink SQL 作业开发 + +Flink Sql 开发模式带来了很大的便利,对于一些简单的指标开发,只需要简单的 Sql 就可以完成,不需要写一行代码。Flink Sql 方便了很多同学的开发工作,毕竟一些做仓库的同学在编写代码方面还是有些难度。 + +打开 StreamPark 的任务新增界面进行添加新任务,默认 Development Mode 就是 Flink Sql 模式。直接在 Flink Sql 部分编写Sql 逻辑。 + +Flink Sql 部分,按照 Flink 官网的文档逐步编写逻辑 Sql 即可,对于我司来说,一般就三部分: 接入 Source ,中间逻辑处理,最后 Sink。基本上 Source 都是消费 kafka 的数据,逻辑处理层会有关联 MySQL 去做维表查询,最后 Sink 部分大多是 Es,Redis,MySQL。 + +#### **1. 编写SQL** + +```sql +-- 连接kafka +CREATE TABLE source_table ( + `Data` ROW +) WITH ( +'connector.type' = 'kafka', +'connector.version' = 'universal', +'connector.topic' = '主题', +'connector.properties.bootstrap.servers'='broker地址', +'connector.startup-mode' = 'latest-offset', +'update-mode' = 'append', +'format.type' = 'json', +'connector.properties.group.id' = '消费组id', +'format.derive-schema' = 'true' +); + +-- 落地表sink +CREATE TABLE sink_table ( +`uid` STRING +) WITH ( +'connector.type' = 'jdbc', +'connector.url' = 'jdbc:mysql://xxx/xxx?useSSL=false', +'connector.username' = 'username', +'connector.password' = 'password', +'connector.table' = 'tablename', +'connector.write.flush.max-rows' = '50', +'connector.write.flush.interval' = '2s', +'connector.write.max-retries' = '3' +); + +-- 代码逻辑过 +INSERT INTO sink_table +SELECT Data.uid FROM source_table; +``` + +### **2. 添加依赖** + +关于依赖这块是 StreamPark 里特有的,在 StreamPark 中创新型的将一个完整的 Flink Sql 任务拆分成两部分组成: Sql 和 依赖, Sql 很好理解不多啰嗦, 依赖是 Sql 里需要用到的一些 Connector 的 Jar, 如 Sql 里用到了 Kafka 和 MySQL 的 Connector, 那就需要引入这两个 Connector 的依赖, 在 StreamPark 中添加依赖两种方式,一种是基于标准的 Maven pom 坐标方式,另一种是从本地上传需要的 Jar 。这两种也可以混着用,按需添加,点击应用即可, 在提交作业的时候就会自动加载这些依赖。 + +![](/blog/Joyme/add_dependency.png) + +### **3. 参数配置** + +在任务的添加和修改页面中已经罗列了一些常用的参数设置,更多的参数设置则提供了一个 yaml 配置文件,我们这里只是设置了 checkpoint 和 savepoint 这两个配置。一是 checkpoint 的位置,二是 执行 checkpoint 的频率。其他的配置基本没有动,这部分用户可以根据自己的需要按需配置。 + +剩下的一些参数设置就要根据作业的具体情况去对症下药的配置了,处理的数据量大了,逻辑复杂了,可能就需要更多的内存,并行度给多一些。有时候需要根据作业的运行情况进行多次调整。 + +![](/blog/Joyme/checkpoint_configuration.png) + +### **4. 动态参数设置** + +由于我们的模式部署是 on Yarn,在动态选项配置里配置了 Yarn 的队列名称。也有一些配置了开启增量的 Checkpoint 选项和状态过期时间,基本的这些参数都可以从 Flink 的官网去查询到。之前有一些作业确实经常出现内存溢出的问题,加上增量参数和过期参数以后,作业的运行情况好多了。还有就是 Flink Sql 作业设计到状态这种比较大和逻辑复杂的情况下,我个人感觉还是用 Streaming 代码来实现比较好控制一些。 + +- -Dyarn.application.queue= yarn队列名称 +- -Dstate.backend.incremental=true +- -Dtable.exec.state.ttl=过期时间 + +完成配置以后提交,然后在 application 界面进行部署。 + +![](/blog/Joyme/application_job.png) + +## 03 Custom code 作业开发 + +Streaming 作业我们是使用 Flink java 进行开发,将之前 Spark scala,Flink scala,Flink java 的作业进行了重构,然后工程整合到了一起,目的就是为了维护起来方便。Custom code 作业需要提交代码到 Git,然后配置项目: + +![](/blog/Joyme/project_configuration.png) + +配置完成以后,根据对应的项目进行编译,也就完成项目的打包环节。这样后面的 Constom code 作业也可以引用。每次需要上线都需要进行编译才可以,否则只能是上次编译的代码。这里有个问题,为了安全,我司的 gitlab 账号密码都是定期更新的。这样就会导致,StreamPark 已经配置好的项目还是之前的密码,结果导致编译时从 git 里拉取项目失败,导致整个编译环节失败,针对这个问题,我们联系到社区,了解到这部分已经在后续的 1.2.1 版本中支持了项目的修改操作。 + +![](/blog/Joyme/flink_system.png) + +新建任务,选择 Custom code ,选择 Flink 版本,选择项目以及模块 Jar 包,选择开发的应用模式为 Apache Flink (标准的 Flink 程序),程序主函数入口类,任务的名称。 + +![](/blog/Joyme/add_projectconfiguration.png) + +以及任务的并行度,监控的方式等,内存大小根据任务需要进行配置。Program Args 程序的参数则根据程序需要自行定义入口参数,比如:我们统一启动类是 StartJobApp,那么启动作业就需要传入作业的 Full name 告诉启动类要去找哪个类来启动此次任务,也就是一个反射机制,作业配置完成以后同样也是 Submit 提交,然后在 application 界面部署任务。 + +![](/blog/Joyme/application_interface.png) + +## 04 监控告警 + +StreamPark 的监控需要在 setting 模块去配置发送邮件的基本信息。 + +![](/blog/Joyme/system_setting.png) + +然后在任务里配置重启策略:监控在多久内几次异常,然后是报警还是重启的策略,同时发送报警要发到哪个邮箱。目前我司使用版本是 1.2.1 只支持邮件发送。 + +![](/blog/Joyme/email_setting.png) + +当我们的作业出现失败的情况下,就可以接收到报警邮箱。这报警还是很好看的有木有,可以清楚看到我们的哪个作业,什么状态。也可以点击下面的具体地址进行查看。 + +![](/blog/Joyme/alarm_eamil.png) + +关于报警这一块目前我们基于 StreamPark 的 t_flink_app 表进行了一个定时任务的开发。为什么要这么做?因为发送邮件这种通知,大部分人可能不会去及时去看。所以我们选择监控每个任务的状态去把对应的监控信息发送我们的飞书报警群,这样可以及时发现问题去解决任务。一个简单的 python 脚本,然后配置了 crontab 去定时执行。 + +```python + +import MySQLdb +import json +import requests + + +def connect_mysql(): + db = MySQLdb.connect("mysqlhost", "database", "password", "dstream", charset='utf8') + + cursor = db.cursor() + + cursor.execute("select STATE,JOB_NAME,ALERT_EMAIL from t_flink_app where state in (-9,15,8,9)") + + data = cursor.fetchall() + + db.close() + return data + + +def alert( data): + for row in data: + send(row) + + +def send(row): + webhook = '飞书机器人的hook地址' + payload_mes = {undefined + "msg_type": "text", + "content": {undefined + "text": '作业:' + row[1].encode('utf-8') + ',状态:' + row[0].encode('utf-8') + } + } + + state='KILLED' + + if int(row[0].encode('utf-8')) == 8: + state='FAILING' + elif int(row[0].encode('utf-8')) == 9: + state='FAILED' + elif int(row[0].encode('utf-8')) == 15: + state='LOST' + else: + state='KILLED' + + email=row[2] + + if email is None: + email='-' + + payload_mes = {undefined + "msg_type": "post", + "content": {undefined + "post": {undefined + "zh_cn": {undefined + "title": "flink实时作业告警", + "content": [ + [{undefined + "tag": "text", + "text": "作业名称: " + row[1].encode('utf-8') + }], + [ {undefined + "tag": "text", + "text": "作业状态: " + state + }], + [{undefined + "tag": "text", + "text": "报警邮件: " + email.encode('utf-8') + }] + ] + } + } + } + } + headers = {undefined + 'Content-Type': 'application/json' + } + + res = requests.request('POST', webhook, headers=headers, data=json.dumps(payload_mes)) + + print(res.text) + +if __name__ == '__main__': + data = connect_mysql() + alert(data) + print(data) + +``` + +## 05 常见问题 + +关于作业的异常问题,我们归纳分析了基本分为这么几种情况: + +### **1. 作业启动失败** + +作业启动失败的问题,就是点击启动运行部署。发现起不来,这时候需要看界面的详情信息的日志。在我们的任务列表中有一个眼睛的按钮,点进去。在start logs 中会找到提交的作业日志信息,点进去查看,如果有明显的提示信息,直接解决就可以了。如果没有,就需要去查看后台部署任务的目录 logs/下面的 streamx.out,打开以后会找到启动失败的日志信息。 + +![](/blog/Joyme/start_log.png) + +### **2. 作业运行失败** + +如果是任务已经起来了,但是在运行阶段失败了。这种情况表面看上去和上面的情况一样,实则完全不同,这种情况是已经将任务提交给集群了,但是任务运行不起来,那就是我们的任务自身有问题了。同样可以用上面第一种情况的排查方式打开作业的具体日志,找到任务在 yarn 上运行的信息,根据日志里记录的 yarn 的 tackurl 去 yarn 的日志里查看具体的原因,是 Sql 的 Connector 不存在,还是代码的哪行代码空指针了,都可以看到具体的堆栈信息。有了具体信息,就可以对症下药了。 + +![](/blog/Joyme/yarn_log.png) + +## 06 社区印象 + +很多时候我们在 StreamPark 用户群里讨论问题,都会得到社区小伙伴的即时响应。提交的一些 issue 在当下不能解决的,基本也会在下一个版本或者最新的代码分支中进行修复。在群里,我们也看到很多不是社区的小伙伴,也在积极互相帮助去解决问题。群里也有很多其他社区的大佬,很多小伙伴也积极加入了社区的开发工作。整个社区给我的感觉还是很活跃! + +## 07 总结 + +目前我司线上运行 60个实时作业,Flink sql 与 Custom-code 差不多各一半。后续也会有更多的实时任务进行上线。很多同学都会担心 StreamPark 稳不稳定的问题,就我司根据几个月的生产实践而言,StreamPark 只是一个帮助你开发作业,部署,监控和管理的一个平台。到底稳不稳,还是要看自家的 Hadoop yarn 集群稳不稳定(我们用的onyan模式),其实已经跟 StreamPark关系不大了。还有就是你写的 Flink Sql 或者是代码健不健壮。更多的是这两方面应该是大家要考虑的,这两方面没问题再充分利用 StreamPark 的灵活性才能让作业更好的运行,单从一方面说 StreamPark 稳不稳定,实属偏激。 + +以上就是 StreamPark 在乐我无限的全部分享内容,感谢大家看到这里。非常感谢 StreamPark 提供给我们这么优秀的产品,这就是做的利他人之事。从1.0 到 1.2.1 平时遇到那些bug都会被即时的修复,每一个issue都被认真对待。目前我们还是 onyarn的部署模式,重启yarn还是会导致作业的lost状态,重启yarn也不是天天都干的事,关于这个社区也会尽早的会去修复这个问题。相信 StreamPark 会越来越好,未来可期。 \ No newline at end of file diff --git a/static/blog/Joyme/add_dependency.png b/static/blog/Joyme/add_dependency.png new file mode 100644 index 0000000000000000000000000000000000000000..21f76a46c34bd1826bac20432d03b0a8b29e6e91 GIT binary patch literal 66431 zcmeFZcT|&E+b?V{R7XUVDkDe@HhLA2-U+=9Vt`Pk*MJQe=~AWF1PCS4Av6^gA<_v* zS0O+`FQJ5Xc6{b}*ZS7?t#`fW`|F&wo|&~~Ai25A-q*f<<+}F$T2Duno`#j?#EBF1 z>S~V+PMkO+dE&%L{DpJilPepV-r#>{92B(`Pn@WXqdl-a3x2<0r)Hpi;zZ!B6DOX% zI&p#mK6I@q94i(iSL;NOvve}8AgOpa`{Y){b^|IMs?l9opB&&bHgv&u+; zfjj-(hSt&7nui&NKyfQ8g()|Ig2#K7Dno zAMw`L)3(N#B+U9Y5jOX((48ZAHacNVi(kOgY0jLAjEX8H=7XC&A^FHf%!>L0xWBf@ 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