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Posted to commits@dolphinscheduler.apache.org by gi...@apache.org on 2021/12/22 03:58:26 UTC

[dolphinscheduler-website] branch asf-site updated: Automated deployment: 6ae62b8d7513953035429dd412d4757343435ce9

This is an automated email from the ASF dual-hosted git repository.

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 077c06a  Automated deployment: 6ae62b8d7513953035429dd412d4757343435ce9
077c06a is described below

commit 077c06ab5c51b61c4a0e174cba6f42ed9173bb66
Author: github-actions[bot] <gi...@users.noreply.github.com>
AuthorDate: Wed Dec 22 03:58:20 2021 +0000

    Automated deployment: 6ae62b8d7513953035429dd412d4757343435ce9
---
 en-us/blog/Apache-DolphinScheduler-2.0.1.html |  2 +-
 en-us/blog/Apache-DolphinScheduler-2.0.1.json |  2 +-
 en-us/blog/architecture-design.html           | 10 +++++-----
 en-us/blog/architecture-design.json           |  8 ++++++--
 4 files changed, 13 insertions(+), 9 deletions(-)

diff --git a/en-us/blog/Apache-DolphinScheduler-2.0.1.html b/en-us/blog/Apache-DolphinScheduler-2.0.1.html
index 2f1ec6f..4b304d3 100644
--- a/en-us/blog/Apache-DolphinScheduler-2.0.1.html
+++ b/en-us/blog/Apache-DolphinScheduler-2.0.1.html
@@ -3,7 +3,7 @@
 <head>
   <meta charset="UTF-8">
   <meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=no">
-  <meta name="keywords" content="DolphinScheduler,scheduler,big data,ETL,airflow,hadoop">
+  <meta name="keywords" content="Apache,DolphinScheduler,scheduler,big data,ETL,airflow,hadoop,orchestration, dataops,2.0.1">
   <meta name="description" content="Good news! Apache DolphinScheduler 2.0.1 version is officially released today!">
   <title>Apache DolphinScheduler 2.0.1 is here, and the highly anticipated one-click upgrade and plug-in finally come!</title>
   <link rel="shortcut icon" href="/img/favicon.ico">
diff --git a/en-us/blog/Apache-DolphinScheduler-2.0.1.json b/en-us/blog/Apache-DolphinScheduler-2.0.1.json
index c1b7859..87eb1d5 100644
--- a/en-us/blog/Apache-DolphinScheduler-2.0.1.json
+++ b/en-us/blog/Apache-DolphinScheduler-2.0.1.json
@@ -4,7 +4,7 @@
   "link": "/dist/en-us/blog/Apache-DolphinScheduler-2.0.1.html",
   "meta": {
     "title": "Apache DolphinScheduler 2.0.1 is here, and the highly anticipated one-click upgrade and plug-in finally come!",
-    "keywords": "DolphinScheduler,scheduler,big data,ETL,airflow,hadoop",
+    "keywords": "Apache,DolphinScheduler,scheduler,big data,ETL,airflow,hadoop,orchestration, dataops,2.0.1",
     "description": "Good news! Apache DolphinScheduler 2.0.1 version is officially released today!"
   }
 }
\ No newline at end of file
diff --git a/en-us/blog/architecture-design.html b/en-us/blog/architecture-design.html
index f9c72b2..cba4159 100644
--- a/en-us/blog/architecture-design.html
+++ b/en-us/blog/architecture-design.html
@@ -3,9 +3,9 @@
 <head>
   <meta charset="UTF-8">
   <meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=no">
-  <meta name="keywords" content="architecture-design">
-  <meta name="description" content="architecture-design">
-  <title>architecture-design</title>
+  <meta name="keywords" content="Apache,DolphinScheduler,scheduler,big data,ETL,airflow,hadoop,orchestration, dataops">
+  <meta name="description" content="Before explaining the architecture of the schedule system, let us first understand the common nouns of the schedule system.">
+  <title>Architecture Design</title>
   <link rel="shortcut icon" href="/img/favicon.ico">
   <link rel="stylesheet" href="/build/vendor.888a4ad.css">
   <link rel="stylesheet" href="/build/blog.md.055b3f1.css">
@@ -16,12 +16,12 @@
 <h3>1.Noun Interpretation</h3>
 <p><strong>DAG:</strong> Full name Directed Acyclic Graph,referred to as DAG。Tasks in the workflow are assembled in the form of directed acyclic graphs, which are topologically traversed from nodes with zero indegrees of ingress until there are no successor nodes. For example, the following picture:</p>
 <p align="center">
-  <img src="/img/dag_examples_cn.jpg" alt="dag示例"  width="60%" />
+  <img src="/img/dag_examples_cn.jpg" alt="dag"  width="60%" />
   <p align="center">
         <em>dag example</em>
   </p>
 </p>
-<p><strong>Process definition</strong>: Visualization <strong>DAG</strong> by dragging task nodes and establishing associations of task nodes</p>
+**Process definition**: Visualization **DAG** by dragging task nodes and establishing associations of task nodes 
 <p><strong>Process instance</strong>: A process instance is an instantiation of a process definition, which can be generated by manual startup or  scheduling. The process definition runs once, a new process instance is generated</p>
 <p><strong>Task instance</strong>: A task instance is the instantiation of a specific task node when a process instance runs, which indicates the specific task execution status</p>
 <p><strong>Task type</strong>: Currently supports SHELL, SQL, SUB_PROCESS (sub-process), PROCEDURE, MR, SPARK, PYTHON, DEPENDENT (dependency), and plans to support dynamic plug-in extension, note: the sub-<strong>SUB_PROCESS</strong> is also A separate process definition that can be launched separately</p>
diff --git a/en-us/blog/architecture-design.json b/en-us/blog/architecture-design.json
index 611b4f8..59801bc 100644
--- a/en-us/blog/architecture-design.json
+++ b/en-us/blog/architecture-design.json
@@ -1,6 +1,10 @@
 {
   "filename": "architecture-design.md",
-  "__html": "<h2>Architecture Design</h2>\n<p>Before explaining the architecture of the schedule system, let us first understand the common nouns of the schedule system.</p>\n<h3>1.Noun Interpretation</h3>\n<p><strong>DAG:</strong> Full name Directed Acyclic Graph,referred to as DAG。Tasks in the workflow are assembled in the form of directed acyclic graphs, which are topologically traversed from nodes with zero indegrees of ingress until there are no successor nodes. For example, the fol [...]
+  "__html": "<h2>Architecture Design</h2>\n<p>Before explaining the architecture of the schedule system, let us first understand the common nouns of the schedule system.</p>\n<h3>1.Noun Interpretation</h3>\n<p><strong>DAG:</strong> Full name Directed Acyclic Graph,referred to as DAG。Tasks in the workflow are assembled in the form of directed acyclic graphs, which are topologically traversed from nodes with zero indegrees of ingress until there are no successor nodes. For example, the fol [...]
   "link": "/dist/en-us/blog/architecture-design.html",
-  "meta": {}
+  "meta": {
+    "title": "Architecture Design",
+    "keywords": "Apache,DolphinScheduler,scheduler,big data,ETL,airflow,hadoop,orchestration, dataops",
+    "description": "Before explaining the architecture of the schedule system, let us first understand the common nouns of the schedule system."
+  }
 }
\ No newline at end of file