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[3.1.1][release] Update version to 3.1.1 before release (#12755)
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@ -16,7 +16,7 @@
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# under the License.
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#
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HUB=apache
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TAG=3.1.0
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TAG=3.1.1
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TZ=Asia/Shanghai
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DATABASE=postgresql
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@ -35,11 +35,11 @@ type: application
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# This is the chart version. This version number should be incremented each time you make changes
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# to the chart and its templates, including the app version.
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version: 3.1.0
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version: 3.1.1
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# This is the version number of the application being deployed. This version number should be
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# incremented each time you make changes to the application.
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appVersion: 3.1.0
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appVersion: 3.1.1
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dependencies:
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- name: postgresql
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@ -23,7 +23,7 @@ timezone: "Asia/Shanghai"
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image:
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registry: "dolphinscheduler.docker.scarf.sh/apache"
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tag: "3.1.0"
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tag: "3.1.1"
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pullPolicy: "IfNotPresent"
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pullSecret: ""
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master: dolphinscheduler-master
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File diff suppressed because it is too large
Load Diff
@ -30,9 +30,9 @@ Attention: DolphinScheduler itself does not depend on Hadoop, Hive, Spark, but w
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mkdir -p /opt
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cd /opt
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# decompress
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tar -zxvf apache-dolphinscheduler-3.1.0-bin.tar.gz -C /opt
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tar -zxvf apache-dolphinscheduler-3.1.1-bin.tar.gz -C /opt
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cd /opt
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mv apache-dolphinscheduler-3.1.0-bin dolphinscheduler
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mv apache-dolphinscheduler-3.1.1-bin dolphinscheduler
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```
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```markdown
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@ -19,7 +19,7 @@ Start DolphinScheduler with standalone-server Docker images is the easiest way t
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you can learn DolphinScheduler's concepts and usage, with minimal cost.
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```shell
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$ DOLPHINSCHEDULER_VERSION=3.1.0
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$ DOLPHINSCHEDULER_VERSION=3.1.1
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$ docker run --name dolphinscheduler-standalone-server -p 12345:12345 -p 25333:25333 -d apache/dolphinscheduler-standalone-server:"${DOLPHINSCHEDULER_VERSION}"
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```
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@ -49,7 +49,7 @@ After complete the configuration, we can get the `docker-compose.yaml` file from
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form its source package, and make sure you get the right version. After download the package, you can run the commands as below.
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```shell
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$ DOLPHINSCHEDULER_VERSION=3.1.0
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$ DOLPHINSCHEDULER_VERSION=3.1.1
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$ tar -zxf apache-dolphinscheduler-"${DOLPHINSCHEDULER_VERSION}"-src.tar.gz
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# Going to docker-compose's location
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# For Mac or Linux users
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@ -72,7 +72,7 @@ $ docker-compose --profile all up -d
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container when it up. You could start DolphinScheduler server separately if you want to reuse your exists services.
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```shell
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$ DOLPHINSCHEDULER_VERSION=3.1.0
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$ DOLPHINSCHEDULER_VERSION=3.1.1
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# Initialize the database, make sure database <DATABASE> already exists
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$ docker run -d --name dolphinscheduler-tools \
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-e DATABASE="postgresql" \
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@ -133,5 +133,5 @@ and use `admin` and `dolphinscheduler123` as default username and password in th
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You can modify some environment variables to change configurations when you are starting servers through Docker. We have
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an example in [using exists PostgreSQL ZooKeeper](#using-exists-postgresql-zookeeper) to change database and ZooKeeper configurations,
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and you could find all environment variables in [all environment variables](https://github.com/apache/dolphinscheduler/blob/3.1.0/script/env/dolphinscheduler_env.sh) <!-- markdown-link-check-disable-line -->
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and you could find all environment variables in [all environment variables](https://github.com/apache/dolphinscheduler/blob/3.1.1/script/env/dolphinscheduler_env.sh) <!-- markdown-link-check-disable-line -->
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and change them if you want.
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@ -4,6 +4,10 @@
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#### Setup instructions, are available for each stable version of Apache DolphinScheduler below:
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### Versions: 3.1.1
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#### Links: [3.1.1 Document](../3.1.1/user_doc/about/introduction.md)
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### Versions: 3.1.0
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#### Links: [3.1.0 Document](../3.1.0/user_doc/about/introduction.md)
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@ -30,9 +30,9 @@
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mkdir -p /opt
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cd /opt
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# 解压缩
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tar -zxvf apache-dolphinscheduler-3.1.0-bin.tar.gz -C /opt
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tar -zxvf apache-dolphinscheduler-3.1.1-bin.tar.gz -C /opt
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cd /opt
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mv apache-dolphinscheduler-3.1.0-bin dolphinscheduler
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mv apache-dolphinscheduler-3.1.1-bin dolphinscheduler
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```
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```markdown
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@ -17,7 +17,7 @@
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你可以最快速的体验到 DolphinScheduler 的大部分功能,了解主要和概念和内容。
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```shell
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$ DOLPHINSCHEDULER_VERSION=3.1.0
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$ DOLPHINSCHEDULER_VERSION=3.1.1
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$ docker run --name dolphinscheduler-standalone-server -p 12345:12345 -p 25333:25333 -d apache/dolphinscheduler-standalone-server:"${DOLPHINSCHEDULER_VERSION}"
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```
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@ -43,7 +43,7 @@ $ docker run --name dolphinscheduler-standalone-server -p 12345:12345 -p 25333:2
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源码包对应的值为 "Total Source Code"。当下载完源码后就可以运行命令进行部署了。
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```shell
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$ DOLPHINSCHEDULER_VERSION=3.1.0
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$ DOLPHINSCHEDULER_VERSION=3.1.1
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$ tar -zxf apache-dolphinscheduler-"${DOLPHINSCHEDULER_VERSION}"-src.tar.gz
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# Mac Linux 用户
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$ cd apache-dolphinscheduler-"${DOLPHINSCHEDULER_VERSION}"-src/deploy/docker
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@ -65,7 +65,7 @@ $ docker-compose --profile all up -d
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ZooKeeper 且不想启动新的服务,可以使用这个方式分别启动 DolphinScheduler 容器。
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```shell
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$ DOLPHINSCHEDULER_VERSION=3.1.0
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$ DOLPHINSCHEDULER_VERSION=3.1.1
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# 初始化数据库,其确保数据库 <DATABASE> 已经存在
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$ docker run -d --name dolphinscheduler-tools \
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-e DATABASE="postgresql" \
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@ -126,4 +126,4 @@ $ docker run -d --name dolphinscheduler-alert-server \
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## 环境变量
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可以通过环境变量来修改 Docker 运行的配置,我们在沿用已有的 PostgreSQL 和 ZooKeeper 服务中就通过环境变量修改了 Docker 的数据库配置和
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注册中心配置,关于全部的配置环境可以查看[全部的配置文件](https://github.com/apache/dolphinscheduler/blob/3.1.0/script/env/dolphinscheduler_env.sh) 了解 <!-- markdown-link-check-disable-line -->
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注册中心配置,关于全部的配置环境可以查看[全部的配置文件](https://github.com/apache/dolphinscheduler/blob/3.1.1/script/env/dolphinscheduler_env.sh) 了解 <!-- markdown-link-check-disable-line -->
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@ -4,6 +4,10 @@
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#### 以下是Apache DolphinScheduler每个稳定版本的设置说明。
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### Versions: 3.1.1
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#### Links: [3.1.1 文档](../3.1.1/user_doc/about/introduction.md)
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### Versions: 3.1.0
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#### Links: [3.1.0 文档](../3.1.0/user_doc/about/introduction.md)
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@ -989,7 +989,7 @@ CREATE TABLE t_ds_version
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-- Records of t_ds_version
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-- ----------------------------
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INSERT INTO t_ds_version
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VALUES ('1', '3.1.0');
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VALUES ('1', '3.1.1');
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-- ----------------------------
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-- ----------------------------
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-- Records of t_ds_version
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-- ----------------------------
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INSERT IGNORE INTO `t_ds_version` VALUES ('1', '3.1.0');
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INSERT IGNORE INTO `t_ds_version` VALUES ('1', '3.1.1');
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-- ----------------------------
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VALUES ('default', 'default', '2018-11-29 10:22:33', '2018-11-29 10:22:33');
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-- Records of t_ds_queue,default queue name : default
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INSERT INTO t_ds_version(version) VALUES ('3.1.0');
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INSERT INTO t_ds_version(version) VALUES ('3.1.1');
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--
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-- Table structure for table t_ds_plugin_define
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3.1.0
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3.1.1
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logger = logging.getLogger(__name__)
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version = "3.1.0"
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version = "3.1.1"
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# Start package required
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prod = [
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"""Test Task class function."""
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import logging
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import re
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from unittest.mock import patch
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from typing import Set
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from unittest.mock import patch
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