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(Docs): Fixed some typo errors (#811)
* Update EasyScheduler Proposal.md * Update frontend-deployment.md * Update frontend-development.md * Update 前端开发文档.md * Update system-manual.md * Update HttpClientTest.java * Update 系统使用手册.md
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dailidong
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@ -30,7 +30,7 @@ The codes are already under Apache License Version 2.0.
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We want to find a data processing tool with the following features:
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- Easy to use，developers can build a ETL process with a very simple drag and drop operation. not only for ETL developers，people who can't write code also can use this tool for ETL operation such as system adminitrator.
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- Easy to use，developers can build a ETL process with a very simple drag and drop operation. not only for ETL developers，people who can't write code also can use this tool for ETL operation such as system administrator.
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- Solving the problem of "complex task dependencies" , and it can monitor the ETL running status.
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- Support multi-tenant.
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- Support many task types: Shell, MR, Spark, SQL (mysql, postgresql, hive, sparksql), Python, Sub_Process, Procedure, etc.
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@ -73,7 +73,7 @@ Thus, it is very unlikely that EasyScheduler becomes orphaned.
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EasyScheduler's core developers have been running it as a community-oriented open source project for some time, several of them already have experience working with open source communities, they are also active in presto, alluxio and other projects. At the same time, we will learn more open source experiences by following the Apache way in our incubator journey.
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### Homogenous Developers
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### Homogeneous Developers
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The current developers work across a variety of organizations including Analysys, guandata and hydee;
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some individual developers are accepted as developers of EasyScheduler as well.
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@ -110,7 +110,7 @@ The project consists of three distinct codebases: core and document. The address
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## Source and Intellectual Property Submission Plan
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As soon as EasyScheduler is approved to join Apache Incubator, Analysys will provide the Software Grant Agreement(SGA) and intial committers will submit ICLA(s). The code is already licensed under the Apache Software License, version 2.0.
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As soon as EasyScheduler is approved to join Apache Incubator, Analysys will provide the Software Grant Agreement(SGA) and initial committers will submit ICLA(s). The code is already licensed under the Apache Software License, version 2.0.
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## External Dependencies
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@ -64,7 +64,7 @@ server {
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index index.html index.html;
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}
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location /escheduler {
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proxy_pass http://192.168.xx.xx:12345; # nterface address (self-modifying)
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proxy_pass http://192.168.xx.xx:12345; # interface address (self-modifying)
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proxy_set_header Host $host;
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proxy_set_header X-Real-IP $remote_addr;
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proxy_set_header x_real_ipP $remote_addr;
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@ -63,7 +63,7 @@ Copy it to the corresponding directory of the server (front-end service static p
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Visit address` http://localhost:8888/#/`
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#### Start with node and daemon under Liunx
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#### Start with node and daemon under Linux
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Install pm2 `npm install -g pm2`
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@ -238,7 +238,7 @@ The internal common component of the `src/js/module/components` project writes t
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├── conditions
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├── conditions.vue
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└── _source
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└── serach.vue
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└── search.vue
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└── util.js
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```
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@ -340,7 +340,7 @@ conf/common/hadoop.properties
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- Queues are used to execute spark, mapreduce and other programs, which require the use of "queue" parameters.
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- "Security" - > "Queue Manage" - > "Creat Queue"
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- "Security" - > "Queue Manage" - > "Create Queue"
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<p align="center">
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<img src="https://user-images.githubusercontent.com/53217792/61841945-078f4480-aec9-11e9-92fb-05b6f42f07d6.png" width="60%" />
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</p>
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@ -403,7 +403,7 @@ conf/common/hadoop.properties
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try {
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// execute
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response = httpclient.execute(httpPost);
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// eponse status code 200
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// response status code 200
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if (response.getStatusLine().getStatusCode() == 200) {
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String content = EntityUtils.toString(response.getEntity(), "UTF-8");
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System.out.println(content);
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@ -533,7 +533,7 @@ conf/common/hadoop.properties
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<img src="https://user-images.githubusercontent.com/53217792/61844464-1af2dd80-aed2-11e9-9486-6cf1b8585aa5.png" width="60%" />
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</p>
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- Datasource: The data source type of stored procedure supports MySQL and POSTGRRESQL, and chooses the corresponding data source.
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- Datasource: The data source type of stored procedure supports MySQL and POSTGRESQL, and chooses the corresponding data source.
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- Method: The method name of the stored procedure
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- Custom parameters: Custom parameter types of stored procedures support IN and OUT, and data types support nine data types: VARCHAR, INTEGER, LONG, FLOAT, DOUBLE, DATE, TIME, TIMESTAMP and BOOLEAN.
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@ -64,7 +64,7 @@ npm install node-sass --unsafe-perm //单独安装node-sass依赖
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访问地址 `http://localhost:8888/#/`
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#### Liunx下使用node启动并且守护进程
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#### Linux下使用node启动并且守护进程
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安装pm2 `npm install -g pm2`
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@ -237,7 +237,7 @@ export default {
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├── conditions
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├── conditions.vue
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└── _source
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└── serach.vue
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└── search.vue
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└── util.js
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```
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@ -391,7 +391,7 @@ conf/common/hadoop.properties
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try {
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// execute
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response = httpclient.execute(httpPost);
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// eponse status code 200
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// response status code 200
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if (response.getStatusLine().getStatusCode() == 200) {
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String content = EntityUtils.toString(response.getEntity(), "UTF-8");
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System.out.println(content);
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@ -59,7 +59,7 @@ public class HttpClientTest {
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try {
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// execute
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response = httpclient.execute(httpPost);
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// eponse status code 200
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// response status code 200
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if (response.getStatusLine().getStatusCode() == 200) {
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String content = EntityUtils.toString(response.getEntity(), "UTF-8");
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logger.info(content);
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@ -96,7 +96,7 @@ public class HttpClientTest {
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try {
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// execute http get request
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response = httpclient.execute(httpGet);
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// reponse status code 200
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// response status code 200
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if (response.getStatusLine().getStatusCode() == 200) {
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String content = EntityUtils.toString(response.getEntity(), "UTF-8");
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logger.info("start--------------->");
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@ -139,7 +139,7 @@ public class HttpClientTest {
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try {
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// execute http get request
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response = httpclient.execute(httpGet);
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// reponse status code 200
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// response status code 200
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if (response.getStatusLine().getStatusCode() == 200) {
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String content = EntityUtils.toString(response.getEntity(), "UTF-8");
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logger.info("start--------------->");
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