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github-bot pushed a commit to branch asf-site
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 608c8e0b37 Automated deployment:
adc946d0cd4b8f347bec65317cc0b68412bd2697
608c8e0b37 is described below
commit 608c8e0b3730402234a615c554e7d5228e99ac4b
Author: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
AuthorDate: Tue Feb 6 17:01:22 2024 +0000
Automated deployment: adc946d0cd4b8f347bec65317cc0b68412bd2697
---
data/blog/zh-cn.json | 6 ++++++
fetch/blog/zh-cn.json | 8 ++++++++
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46 files changed, 34 insertions(+), 12 deletions(-)
diff --git a/data/blog/zh-cn.json b/data/blog/zh-cn.json
index 1d3cefa27e..d093a3ed25 100644
--- a/data/blog/zh-cn.json
+++ b/data/blog/zh-cn.json
@@ -251,6 +251,12 @@
"title": "小海豚“变身”全新智能调度引擎，深入浅出在DDS的实践开发应用？",
"time": "2023-9-6"
},
+ {
+ "name":
"Qifu_Technology_The_practical_path_of_big_data_tasks_from_diagnosis_to_self-healing",
+ "content":
"一、为什么要做诊断引擎\n毓数平台是奇富科技公司自主研发的一站式大数据管理、开发、分析平台，覆盖大数据资产管理、数据开发及任务调度、自助分析及可视化、统一指标管理等多个数据生命周期流程，让用户使用数据的同时，挖掘数据最大的价值。而毓数平台的大数据任务调度底层是基于Apache
DolphinScheduler实现的。\n整个大数据平台有1000+机器、70P数据量，每日新增200T数据。每天在毓数工作流上运行的任务实例有13万+，周活跃用户400+；每天在毓数自助查询中运行的sql有16万+，周活跃用户500+。运行的任务类型有Spark任务、Sqoop任务、DataX任务等10多种任务类型。\n而我们的几百位业务同学对大数据框架底层原理几乎都不太了解，因此日常会需要数据平台部门同学协助业务去分析和排查大数据任务运行问题。数据平台部门同学每天都
会花费很多时间和精力在任务人工诊断上，而相应业务同学面对异常任务也会很苦恼。每个月数据平台部门协助用户诊断任务问题平均耗费4人/天工时。\n对于，异常任务，让我印象很深刻的一件事情是，23年有一位业
[...]
+ "title": "奇富科技：大数据任务从诊断到自愈的实践之路",
+ "time": "2024-01-29"
+ },
{
"name":
"The_implementation_practice_of_Apache_DolphinScheduler_as_a_unified_scheduling_center_in_Lenovo",
"content": "点亮 ⭐️ Star ·
照亮开源之路\nGitHub:https://github.com/apache/dolphinscheduler\n\n在 ApacheCon Asia
2022 Meetup上，来自联想的数据架构师、Apache DolphinScheduler PMC & Committer 、Apache
Local Community 北京成员 李岗 老师分享了 Apache DolphinScheduler
在联想作为统一调度中心的落地实践。\n感谢本文整理者 关博
对社区的贡献，您的贡献是社区不断前进的动力！\n本次演讲主要包含以下四个部分：\n\n统一调度中心的需求背景介绍\n为什么会选择 Apache
DolphinScheduler 作为统一调度中心\nApache DolphinScheduler
在联想的落地实践中涉及的改造点\n后期规划(Roadmap)\n\n统一调度中心的需求背景介绍\n定时任务对每个开发人员来讲是一个常见的业务场景，我们通常都会遇到需要对数据进行备份、同步。一般的解决方式最
[...]
diff --git a/fetch/blog/zh-cn.json b/fetch/blog/zh-cn.json
index a755c8c74e..552a558c0d 100644
--- a/fetch/blog/zh-cn.json
+++ b/fetch/blog/zh-cn.json
@@ -236,6 +236,14 @@
"type": "user",
"label": "用户案例",
"children": [
+ {
+ "name":
"Qifu_Technology_The_practical_path_of_big_data_tasks_from_diagnosis_to_self-healing",
+ "title": "奇富科技：大数据任务从诊断到自愈的实践之路",
+ "author": "Niko Zeng",
+ "dateStr": "2024-01-29",
+ "desc":
"我们针对海豚调度和自助查询上运行的大数据任务自研了一款大数据任务实时智能诊断引擎。其工作流异常诊断覆盖率达85%，自助查询异常诊断覆盖率达88%，根据诊断引擎的报告平均每周进行6次“尝试自愈”操作，减少了数仓同学67%的凌晨值班告警电话。",
+ "img": "/img/2024-01-29/3.png"
+ },
{
"name":
"Zuoyebang’s_data_development_platform_practice_based_on_DolphinScheduler",
"title": "作业帮基于 DolphinScheduler 的数据开发平台实践",
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diff --git
a/pages/blog/zh-cn/Qifu_Technology_The_practical_path_of_big_data_tasks_from_diagnosis_to_self-healing.json
b/pages/blog/zh-cn/Qifu_Technology_The_practical_path_of_big_data_tasks_from_diagnosis_to_self-healing.json
new file mode 100644
index 0000000000..6ef17c3c25
--- /dev/null
+++
b/pages/blog/zh-cn/Qifu_Technology_The_practical_path_of_big_data_tasks_from_diagnosis_to_self-healing.json
@@ -0,0 +1,8 @@
+{
+ "__html":
"<h2>一、为什么要做诊断引擎</h2>\n<p>毓数平台是奇富科技公司自主研发的一站式大数据管理、开发、分析平台，覆盖大数据资产管理、数据开发及任务调度、自助分析及可视化、统一指标管理等多个数据生命周期流程，让用户使用数据的同时，挖掘数据最大的价值。而毓数平台的大数据任务调度底层是<strong>基于Apache
DolphinScheduler</strong>实现的。</p>\n<p>整个大数据平台有<strong>1000+机器、70P数据量，每日新增200T数据</strong>。每天在毓数工作流上运行的任务实例有<strong>13万+</strong>，周活跃用户400+；每天在毓数自助查询中运行的sql有16万+，周活跃用户500+。运行的任务类型有Spark任务、Sqoop任务、DataX任务等10多种任务类型。</p>\n<p>而我们的几百位业务同学对大数据框架底层原理几乎都不太了解，因此日常会需要数据平台部门同学协助业务去分�
��和排查大数据任务运行问题。数据平台部门同学每天都会花费很多时间和精力在任务人工诊断上，而相应业务同 [...]
+ "time": "2024-01-29",
+ "author": "Niko Zeng",
+ "title": "奇富科技：大数据任务从诊断到自愈的实践之路",
+ "type": "user",
+ "label": "用户案例"
+}
\ No newline at end of file
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index 6e48a5e9ce..54859273a0 100644
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index 54ac25bf28..4a8af7fc3d 100644
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index 3d100d3610..792a4cc15b 100644
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+++ b/python/2.0.7/.buildinfo
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index d962263b46..32cb3b4e98 100644
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index 3f3bfcefde..a553eee9c7 100644
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index f6d2e4b8c7..bc3fd51ed3 100644
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@@ -1,4 +1,4 @@
# Sphinx build info version 1
# This file hashes the configuration used when building these files. When it
is not found, a full rebuild will be done.
-config: 8f83a38f3ed3295674abb86e907837e2
+config: 667ba4bf1e2e19a54b0b106915292dab
tags: 645f666f9bcd5a90fca523b33c5a78b7
diff --git a/python/main/.buildinfo b/python/main/.buildinfo
index 4d50598a20..f8e6c3b948 100644
--- a/python/main/.buildinfo
+++ b/python/main/.buildinfo
@@ -1,4 +1,4 @@
# Sphinx build info version 1
# This file hashes the configuration used when building these files. When it
is not found, a full rebuild will be done.
-config: 0bced328593070f3cf209f9be4d636df
+config: 50ffaaa48ace245a8085aa5581ba4a65
tags: 645f666f9bcd5a90fca523b33c5a78b7
