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in repository https://gitbox.apache.org/repos/asf/dolphinscheduler-website.git
The following commit(s) were added to refs/heads/asf-site by this push:
new 96fe82faf2 Automated deployment:
907f87fe77ffbf58c67d51f12e6f627950945ba7
96fe82faf2 is described below
commit 96fe82faf2999b0892088660f7ac78d8daad6088
Author: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
AuthorDate: Wed Nov 1 01:12:49 2023 +0000
Automated deployment: 907f87fe77ffbf58c67d51f12e6f627950945ba7
---
data/blog/zh-cn.json | 12 ++++++++++++
fetch/blog/zh-cn.json | 14 ++++++++++++++
img/2023-10-25/1.png | Bin 0 -> 684499 bytes
img/2023-10-25/2.png | Bin 0 -> 416605 bytes
img/2023-10-31/1.png | Bin 0 -> 153829 bytes
img/2023-10-31/2.png | Bin 0 -> 274185 bytes
img/2023-10-31/3.png | Bin 0 -> 158072 bytes
img/2023-10-31/4.png | Bin 0 -> 45878 bytes
img/2023-10-31/5.png | Bin 0 -> 15754 bytes
img/2023-10-31/6.png | Bin 0 -> 158797 bytes
...rating_from_Airflow_to_Apache_DolphinScheduler.json | 8 ++++++++
...nite_loop_of_Master_service_without_restarting.json | 8 ++++++++
python/2.0.5/.buildinfo | 2 +-
python/2.0.6/.buildinfo | 2 +-
python/2.0.7/.buildinfo | 2 +-
python/3.0.0/.buildinfo | 2 +-
python/3.0.1/.buildinfo | 2 +-
python/3.1.0/.buildinfo | 2 +-
python/4.0.0/.buildinfo | 2 +-
python/4.0.1/.buildinfo | 2 +-
python/4.0.2/.buildinfo | 2 +-
python/4.0.3/.buildinfo | 2 +-
python/4.0.4/.buildinfo | 2 +-
python/main/.buildinfo | 2 +-
24 files changed, 54 insertions(+), 12 deletions(-)
diff --git a/data/blog/zh-cn.json b/data/blog/zh-cn.json
index c88d30ed6c..f9a5af91b9 100644
--- a/data/blog/zh-cn.json
+++ b/data/blog/zh-cn.json
@@ -71,6 +71,12 @@
"title": "Apache DolphinScheduler 获评 2021 年度「最受欢迎项目」",
"time": "2022-1-7"
},
+ {
+ "name":
"Big_Data_Scheduling_Best_Practices_Migrating_from_Airflow_to_Apache_DolphinScheduler",
+ "content": "title: 大数据调度最佳实践 | 从Airflow迁移到Apache
DolphinScheduler\nkeywords: Apache DolphinScheduler, 迁移, Airflow\ndescription:
有部分用户原来是使用 Airflow 作为调度系统的,但是由于 Airflow
只能通过代码来定义工作流,并且没有对资源、项目的粒度划分,导致在部分需要较强权限控制的场景下不能很好的贴合客户需求,所以部分用户需要将调度系统从
Airflow 迁移到 Apache Dolphinscheduler。\n\n迁移背景\n有部分用户原来是使用 Airflow 作为调度系统的,但是由于
Airflow
只能通过代码来定义工作流,并且没有对资源、项目的粒度划分,导致在部分需要较强权限控制的场景下不能很好的贴合客户需求,所以部分用户需要将调度系统从
Airflow 迁移到 Apache Dolphinscheduler。\n\n秉承着解决用户实际需求的角度出发,Whaleops 研发了 Air2phin
迁移工具,协助用 [...]
+ "title": "大数据调度最佳实践 | 从Airflow迁移到Apache DolphinScheduler",
+ "time": "2023-10-25"
+ },
{
"name": "Board_of_Directors_Report",
"content": "Apache DolphinScheduler 董事会报告:社区健康运行,Commit 增长 123%\n\n\n\n\n自
2021 年 3 月 17 日从 Apache 孵化器毕业以来,Apache DolphinScheduler
不知不觉已经和社区一起经过了十个月的成长。在社区的共同参与下,Apache DolphinScheduler
在数次版本迭代后,蜕变为一个经过数百家企业生产环境检验的成熟调度系统产品。\n\n\n在将近一年的时间里,Apache DolphinScheduler
有了哪些进步?今天我们将通过这篇 Apache 报告,一起回顾这段时间发生在 Apache DolphinScheduler
及其社区中的变化。\n\n基本数据:\n成立: 2021 年 03 月 17 日(十个月前)\nChair: 代立冬\n下次报告日期: 2022 年 1 月
19 日(星期三)\n社区健康评分( Chi ): 7.55(健康)\n项目组成:\n\n目前该项目中有 39 个 committer 和 16 个 PMC
成员。\ [...]
@@ -173,6 +179,12 @@
"title": "Apache DolphinScheduler 如何解决传智教育数仓调度痛点?",
"time": "2023-9-5"
},
+ {
+ "name":
"How_does_Apache_Dolphinscheduler_solve_the_infinite_loop_of_Master_service_without_restarting",
+ "content": "title: Apache Dolphinscheduler如何不重启解决Master服务死循环\nkeywords:
Apache DolphinScheduler, 死循环, Master\ndescription:
相信不少使用过3.0的用户都遇到过Master服务中存在一些工作流一直不停的死循环的问题,本人到现在也没找到触发的原因,但是通过与同事的摸索,暂时找到了一个可以借助Arthas解决死循环的方法。\n\n个人建议\nApache
Dolphinscheduler作为一个开源的调度平台,目前已经更新到了3.X版本,4.0版本也已经呼之欲出。3.0版本作为尝鲜版本,新添加了许多的功能,同时也存在非常多的隐患,本人使用3.0版本作为生产调度也踩了很多坑,到现在依然存在很多难以解决的问题,所以建议小伙伴们尽量使用2.x版本,相对稳定一些。\n\n近期在跟社区的沟通中,**最新3.2.0版本,该问题已经得到解决!**感兴趣可以了解最新版本。\n\n\n下面主要记录的是
一个3.0比较难搞的问题,相信不少使用过3.0的用户都遇到过Mas [...]
+ "title": "Apache Dolphinscheduler如何不重启解决Master服务死循环",
+ "time": "2023-10-31"
+ },
{
"name":
"How_does_the_national_dairy_giant_Yili_open_up_a_path_for_enterprise_digital_transformation_based_on_Apache_DolphinScheduler",
"content": "title: 国民乳业巨头伊利如何基于 DolphinScheduler 开辟企业数字化转型“蹊径”?\nkeywords:
Apache DolphinScheduler, 伊利, 数字化转型\ndescription:
在数据驱动转型的过程中,会存在海量的数据集成任务,整体集成架构的合理性、调度的稳定性会严重影响数据流转的效率,也会制约数据的价值挖掘,伊利基于 Apache
DolphinScheduler
构建了统一的调度服务与数据集成体系,加速数据流转,助力企业数字化转型。\n\n\n精彩回顾\n近期,国民乳业巨头伊利集团在社区线上 Meetup
上带来了《伊利集团基于 DolphinScheduler
的探索与实践》。\n伊利集团数字化中心统筹推进全集团的数字化转型工作,姜涛及其团队在数字化中心负责大数据技术能力的建设以及相关的业务支持工作。在数据驱动转型的过程中,会存在海量的数据集成任务,整体集成架构的合理性、调度的�
��定性会严重影响数据流转的效率,也会制约数据的价值挖掘,伊利基于 Apache DolphinScheduler [...]
diff --git a/fetch/blog/zh-cn.json b/fetch/blog/zh-cn.json
index 11399ef5b2..9141f8fa79 100644
--- a/fetch/blog/zh-cn.json
+++ b/fetch/blog/zh-cn.json
@@ -58,6 +58,20 @@
"type": "tech",
"label": "技术详解",
"children": [
+ {
+ "name":
"How_does_Apache_Dolphinscheduler_solve_the_infinite_loop_of_Master_service_without_restarting",
+ "title": "Apache Dolphinscheduler如何不重启解决Master服务死循环",
+ "author": "Niko Zemg",
+ "dateStr": "2023-10-31",
+ "desc":
"相信不少使用过3.0的用户都遇到过Master服务中存在一些工作流一直不停的死循环的问题,本人到现在也没找到触发的原因,但是通过与同事的摸索,暂时找到了一个可以借助Arthas解决死循环的方法......"
+ },
+ {
+ "name":
"Big_Data_Scheduling_Best_Practices_Migrating_from_Airflow_to_Apache_DolphinScheduler",
+ "title": "大数据调度最佳实践 | 从Airflow迁移到Apache DolphinScheduler",
+ "author": "Niko Zemg",
+ "dateStr": "2023-10-25",
+ "desc": "有部分用户原来是使用 Airflow 作为调度系统的,但是由于 Airflow
只能通过代码来定义工作流,并且没有对资源、项目的粒度划分,导致在部分需要较强权限控制的场景下不能很好的贴合客户需求,所以部分用户需要将调度系统从
Airflow 迁移到 Apache Dolphinscheduler。......"
+ },
{
"name": "K8s_Cisco_Hangzhou",
"title": "全面拥抱 K8s,ApacheDolphinScheduler 应用与支持 K8s 任务的探索",
diff --git a/img/2023-10-25/1.png b/img/2023-10-25/1.png
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diff --git
a/pages/blog/zh-cn/Big_Data_Scheduling_Best_Practices_Migrating_from_Airflow_to_Apache_DolphinScheduler.json
b/pages/blog/zh-cn/Big_Data_Scheduling_Best_Practices_Migrating_from_Airflow_to_Apache_DolphinScheduler.json
new file mode 100644
index 0000000000..f46cfe15a4
--- /dev/null
+++
b/pages/blog/zh-cn/Big_Data_Scheduling_Best_Practices_Migrating_from_Airflow_to_Apache_DolphinScheduler.json
@@ -0,0 +1,8 @@
+{
+ "__html": "<pre><code class=\"language-yaml\"><span
class=\"hljs-attr\">title:</span> <span class=\"hljs-string\">大数据调度最佳实践</span>
<span class=\"hljs-string\">|</span> <span
class=\"hljs-string\">从Airflow迁移到Apache</span> <span
class=\"hljs-string\">DolphinScheduler</span>\n<span
class=\"hljs-attr\">keywords:</span> <span class=\"hljs-string\">Apache</span>
<span class=\"hljs-string\">DolphinScheduler,</span> <span
class=\"hljs-string\">迁移,</span> <span class=\"hljs-string\">Airflow</s [...]
+ "time": "2023-10-25",
+ "author": "Niko Zemg",
+ "title": "大数据调度最佳实践 | 从Airflow迁移到Apache DolphinScheduler",
+ "type": "tech",
+ "label": "技术详解"
+}
\ No newline at end of file
diff --git
a/pages/blog/zh-cn/How_does_Apache_Dolphinscheduler_solve_the_infinite_loop_of_Master_service_without_restarting.json
b/pages/blog/zh-cn/How_does_Apache_Dolphinscheduler_solve_the_infinite_loop_of_Master_service_without_restarting.json
new file mode 100644
index 0000000000..fb86f32d4e
--- /dev/null
+++
b/pages/blog/zh-cn/How_does_Apache_Dolphinscheduler_solve_the_infinite_loop_of_Master_service_without_restarting.json
@@ -0,0 +1,8 @@
+{
+ "__html": "<pre><code class=\"language-yaml\"><span
class=\"hljs-attr\">title:</span> <span class=\"hljs-string\">Apache</span>
<span class=\"hljs-string\">Dolphinscheduler如何不重启解决Master服务死循环</span>\n<span
class=\"hljs-attr\">keywords:</span> <span class=\"hljs-string\">Apache</span>
<span class=\"hljs-string\">DolphinScheduler,</span> <span
class=\"hljs-string\">死循环,</span> <span
class=\"hljs-string\">Master</span>\n<span
class=\"hljs-attr\">description:</span> <span class=\"hljs-strin [...]
+ "time": "2023-10-31",
+ "author": "Niko Zemg",
+ "title": "Apache Dolphinscheduler如何不重启解决Master服务死循环",
+ "type": "tech",
+ "label": "技术详解"
+}
\ No newline at end of file
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index 2f812ef41f..7186ed9fd5 100644
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diff --git a/python/2.0.6/.buildinfo b/python/2.0.6/.buildinfo
index 46cfcafc41..54fbd2ba1d 100644
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index 07bcbc0172..72dfac03f1 100644
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index 35a1056da8..b190a4712d 100644
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