文章目录
SeaTunnel简易封装方案:让数据集成更简单
在了解了Apache SeaTunnel的基本原理和使用方法后,我们可以进一步封装它的能力,为用户提供更简单的配置体验。本文将详细介绍如何基于SeaTunnel构建一个易用的数据集成工具,让用户只需关注最核心的配置项。
设计思路
SeaTunnel虽然强大,但对于初学者来说,编写完整的配置文件仍有一定门槛。我们的封装方案基于以下思路:
- 模板化配置:预定义常见数据源的模板
- 参数简化:只暴露必要参数,其他使用合理默认值
- 双层接口:提供命令行和Web两种交互方式
- 可视化监控:集成任务执行状态和日志查看
- 智能推荐:根据数据特征推荐合适的配置
项目结构
/Users/francis/TraeProject/seatunnel/
├── bin/ # 原SeaTunnel脚本
├── config/ # 原SeaTunnel配置
├── easy-seatunnel/ # 我们的封装项目
│ ├── bin/ # 封装后的启动脚本
│ ├── templates/ # 配置模板
│ │ ├── sources/ # 数据源模板
│ │ ├── transforms/ # 转换模板
│ │ └── sinks/ # 目标模板
│ ├── web/ # Web界面
│ ├── lib/ # 核心库
│ └── conf/ # 封装工具配置
└── README.md # 项目说明
核心实现
配置模板
首先,我们需要为常见的数据源、转换和目标创建模板文件。这些模板只包含必要的参数,其他参数使用合理的默认值。
让我们创建几个基础模板:
hocon:/Users/francis/TraeProject/seatunnel/easy-seatunnel/templates/sources/mysql.template
source {
Jdbc {
url = "{{jdbc_url}}"
driver = "com.mysql.cj.jdbc.Driver"
user = "{{username}}"
password = "{{password}}"
query = "{{query}}"
result_table_name = "{{table_name}}"
# 高级参数(默认值)
connection_check_timeout_sec = 30
fetch_size = 1000
partition_column = ""
partition_num = 1
}
}
hocon:/Users/francis/TraeProject/seatunnel/easy-seatunnel/templates/sinks/elasticsearch.template
sink {
Elasticsearch {
hosts = ["{{es_host}}"]
index = "{{index_name}}"
source_table_name = "{{source_table}}"
# 高级参数(默认值)
username = ""
password = ""
max_retry_count = 3
batch_size = 1000
}
}
命令行工具
接下来,我们创建一个命令行工具,让用户通过简单的命令生成完整的配置文件并执行:
python:/Users/francis/TraeProject/seatunnel/easy-seatunnel/bin/easy-seatunnel.py
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import os
import sys
import argparse
import json
import subprocess
from string import Template
# 项目根目录
ROOT_DIR = os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))
SEATUNNEL_HOME = os.path.abspath(os.path.join(ROOT_DIR, ".."))
TEMPLATE_DIR = os.path.join(ROOT_DIR, "templates")
OUTPUT_DIR = os.path.join(ROOT_DIR, "output")
def load_template(template_type, template_name):
"""加载指定类型和名称的模板"""
template_path = os.path.join(TEMPLATE_DIR, template_type, f"{template_name}.template")
if not os.path.exists(template_path):
print(f"错误: 模板 {template_path} 不存在")
sys.exit(1)
with open(template_path, 'r', encoding='utf-8') as f:
return f.read()
def generate_config(args):
"""根据参数生成配置文件"""
# 加载环境配置
env_config = """
env {
execution.parallelism = %d
job.mode = "%s"
}
""" % (args.parallelism, args.mode)
# 加载source模板
source_template = load_template("sources", args.source)
source_params = json.loads(args.source_params)
source_config = Template(source_template).substitute(**source_params)
# 加载transform模板(如果指定)
transform_config = ""
if args.transform:
transform_template = load_template("transforms", args.transform)
transform_params = json.loads(args.transform_params) if args.transform_params else {}
transform_config = Template(transform_template).substitute(**transform_params)
else:
transform_config = """
transform {
# 无转换操作
}
"""
# 加载sink模板
sink_template = load_template("sinks", args.sink)
sink_params = json.loads(args.sink_params)
sink_config = Template(sink_template).substitute(**sink_params)
# 组合完整配置
full_config = env_config + source_config + transform_config + sink_config
# 保存配置文件
os.makedirs(OUTPUT_DIR, exist_ok=True)
config_path = os.path.join(OUTPUT_DIR, f"{args.job_name}.conf")
with open(config_path, 'w', encoding='utf-8') as f:
f.write(full_config)
print(f"配置文件已生成: {config_path}")
return config_path
def run_job(config_path, engine):
"""运行SeaTunnel作业"""
cmd = [
os.path.join(SEATUNNEL_HOME, "bin", "seatunnel.sh"),
"--config", config_path,
"-e", engine
]
print(f"执行命令: {' '.join(cmd)}")
subprocess.run(cmd)
def main():
parser = argparse.ArgumentParser(description="SeaTunnel简易封装工具")
parser.add_argument("--job-name", required=True, help="作业名称")
parser.add_argument("--source", required=True, help="数据源类型")
parser.add_argument("--source-params", required=True, help="数据源参数(JSON格式)")
parser.add_argument("--transform", help="转换类型")
parser.add_argument("--transform-params", help="转换参数(JSON格式)")
parser.add_argument("--sink", required=True, help="目标类型")
parser.add_argument("--sink-params", required=True, help="目标参数(JSON格式)")
parser.add_argument("--mode", default="BATCH", choices=["BATCH", "STREAMING"], help="作业模式")
parser.add_argument("--parallelism", type=int, default=1, help="并行度")
parser.add_argument("--engine", default="flink", choices=["flink", "spark"], help="执行引擎")
parser.add_argument("--run", action="store_true", help="生成配置后立即运行")
args = parser.parse_args()
# 生成配置文件
config_path = generate_config(args)
# 如果指定了--run,则运行作业
if args.run:
run_job(config_path, args.engine)
if __name__ == "__main__":
main()
创建启动脚本:
bash:/Users/francis/TraeProject/seatunnel/easy-seatunnel/bin/easy-seatunnel.sh
#!/bin/bash
# 获取脚本所在目录
SCRIPT_DIR=$(cd "$(dirname "$0")" && pwd)
PYTHON_SCRIPT="${SCRIPT_DIR}/easy-seatunnel.py"
# 检查Python3是否安装
if ! command -v python3 &> /dev/null; then
echo "错误: 未找到Python3,请先安装Python3"
exit 1
fi
# 执行Python脚本,传递所有参数
python3 "${PYTHON_SCRIPT}" "$@"
别忘了添加执行权限:
bash
chmod +x /Users/francis/TraeProject/seatunnel/easy-seatunnel/bin/easy-seatunnel.sh
chmod +x /Users/francis/TraeProject/seatunnel/easy-seatunnel/bin/easy-seatunnel.py
Web界面
为了进一步简化用户体验,我们可以创建一个简单的Web界面。这里使用Flask框架实现:
python:/Users/francis/TraeProject/seatunnel/easy-seatunnel/web/app.py
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import os
import sys
import json
import subprocess
from flask import Flask, render_template, request, jsonify
# 添加项目根目录到Python路径
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
from bin.easy_seatunnel import load_template, generate_config, run_job
app = Flask(__name__)
@app.route('/')
def index():
"""首页,显示作业创建表单"""
# 获取可用的模板列表
templates_dir = os.path.join(os.path.dirname(os.path.dirname(__file__)), "templates")
sources = [f.split('.')[0] for f in os.listdir(os.path.join(templates_dir, "sources"))
if f.endswith('.template')]
transforms = [f.split('.')[0] for f in os.listdir(os.path.join(templates_dir, "transforms"))
if f.endswith('.template')]
sinks = [f.split('.')[0] for f in os.listdir(os.path.join(templates_dir, "sinks"))
if f.endswith('.template')]
return render_template('index.html', sources=sources, transforms=transforms, sinks=sinks)
@app.route('/get_template_params', methods=['GET'])
def get_template_params():
"""获取指定模板的参数列表"""
template_type = request.args.get('type')
template_name = request.args.get('name')
if not template_type or not template_name:
return jsonify({"error": "缺少参数"}), 400
try:
template_content = load_template(template_type, template_name)
# 解析模板中的参数 (格式为 {{param_name}})
import re
params = re.findall(r'{{(.*?)}}', template_content)
return jsonify({"params": params})
except Exception as e:
return jsonify({"error": str(e)}), 500
@app.route('/create_job', methods=['POST'])
def create_job():
"""创建并可选地运行作业"""
try:
data = request.json
# 构造参数对象
class Args:
pass
args = Args()
args.job_name = data.get('job_name')
args.source = data.get('source')
args.source_params = json.dumps(data.get('source_params', {}))
args.transform = data.get('transform')
args.transform_params = json.dumps(data.get('transform_params', {})) if data.get('transform') else None
args.sink = data.get('sink')
args.sink_params = json.dumps(data.get('sink_params', {}))
args.mode = data.get('mode', 'BATCH')
args.parallelism = int(data.get('parallelism', 1))
# 生成配置文件
config_path = generate_config(args)
# 如果需要运行作业
if data.get('run', False):
# 异步运行作业
import threading
engine = data.get('engine', 'flink')
threading.Thread(target=run_job, args=(config_path, engine)).start()
return jsonify({"status": "success", "message": "作业已提交运行", "config_path": config_path})
else:
return jsonify({"status": "success", "message": "配置文件已生成", "config_path": config_path})
except Exception as e:
return jsonify({"status": "error", "message": str(e)}), 500
@app.route('/jobs')
def list_jobs():
"""列出所有作业"""
output_dir = os.path.join(os.path.dirname(os.path.dirname(__file__)), "output")
jobs = [f.split('.')[0] for f in os.listdir(output_dir) if f.endswith('.conf')]
return jsonify({"jobs": jobs})
if __name__ == '__main__':
app.run(debug=True, host='0.0.0.0', port=5000)
创建一个简单的HTML模板:
html:/Users/francis/TraeProject/seatunnel/easy-seatunnel/web/templates/index.html
<!DOCTYPE html>
<html lang="zh-CN">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>SeaTunnel简易配置工具</title>
<link href="https://cdn.jsdelivr.net/npm/[email protected]/dist/css/bootstrap.min.css" rel="stylesheet">
<style>
body {
padding-top: 20px;
padding-bottom: 20px;
}
.header {
padding-bottom: 20px;
border-bottom: 1px solid #e5e5e5;
margin-bottom: 30px;
}
.form-section {
margin-bottom: 30px;
padding: 20px;
border: 1px solid #eee;
border-radius: 5px;
}
.param-group {
margin-top: 15px;
}
</style>
</head>
<body>
<div class="container">
<div class="header">
<h2>🌊 SeaTunnel简易配置工具</h2>
<p class="lead">只需几步,轻松创建数据集成任务</p>
</div>
<div id="jobForm">
<div class="form-section">
<h4>基本配置</h4>
<div class="row">
<div class="col-md-6">
<div class="mb-3">
<label for="jobName" class="form-label">作业名称</label>
<input type="text" class="form-control" id="jobName" required>
</div>
</div>
<div class="col-md-3">
<div class="mb-3">
<label for="jobMode" class="form-label">作业模式</label>
<select class="form-select" id="jobMode">
<option value="BATCH">批处理</option>
<option value="STREAMING">流处理</option>
</select>
</div>
</div>
<div class="col-md-3">
<div class="mb-3">
<label for="parallelism" class="form-label">并行度</label>
<input type="number" class="form-control" id="parallelism" value="1" min="1">
</div>
</div>
</div>
</div>
<div class="form-section">
<h4>数据源配置</h4>
<div class="row">
<div class="col-md-4">
<div class="mb-3">
<label for="sourceType" class="form-label">数据源类型</label>
<select class="form-select" id="sourceType" onchange="loadTemplateParams('source', this.value)">
<option value="">请选择...</option>
{% for source in sources %}
<option value="{{ source }}">{{ source }}</option>
{% endfor %}
</select>
</div>
</div>
</div>
<div id="sourceParams" class="param-group">
<!-- 动态加载的参数表单 -->
</div>
</div>
<div class="form-section">
<h4>数据转换配置 <small class="text-muted">(可选)</small></h4>
<div class="row">
<div class="col-md-4">
<div class="mb-3">
<label for="transformType" class="form-label">转换类型</label>
<select class="form-select" id="transformType" onchange="loadTemplateParams('transform', this.value)">
<option value="">无转换</option>
{% for transform in transforms %}
<option value="{{ transform }}">{{ transform }}</option>
{% endfor %}
</select>
</div>
</div>
</div>
<div id="transformParams" class="param-group">
<!-- 动态加载的参数表单 -->
</div>
</div>
<div class="form-section">
<h4>数据目标配置</h4>
<div class="row">
<div class="col-md-4">
<div class="mb-3">
<label for="sinkType" class="form-label">目标类型</label>
<select class="form-select" id="sinkType" onchange="loadTemplateParams('sink', this.value)">
<option value="">请选择...</option>
{% for sink in sinks %}
<option value="{{ sink }}">{{ sink }}</option>
{% endfor %}
</select>
</div>
</div>
</div>
<div id="sinkParams" class="param-group">
<!-- 动态加载的参数表单 -->
</div>
</div>
<div class="form-section">
<h4>执行选项</h4>
<div class="row">
<div class="col-md-4">
<div class="mb-3">
<label for="engine" class="form-label">执行引擎</label>
<select class="form-select" id="engine">
<option value="flink">Flink</option>
<option value="spark">Spark</option>
</select>
</div>
</div>
<div class="col-md-8">
<div class="form-check mt-4">
<input class="form-check-input" type="checkbox" id="runImmediately">
<label class="form-check-label" for="runImmediately">
生成配置后立即运行
</label>
</div>
</div>
</div>
</div>
<div class="d-grid gap-2 d-md-flex justify-content-md-end mb-5">
<button class="btn btn-primary" onclick="createJob()">创建作业</button>
</div>
</div>
<div id="jobResult" style="display: none;">
<div class="alert alert-success" role="alert">
<h4 class="alert-heading">作业创建成功!</h4>
<p id="resultMessage"></p>
<hr>
<p class="mb-0">
<button class="btn btn-sm btn-outline-secondary" onclick="showJobForm()">创建新作业</button>
<button class="btn btn-sm btn-outline-primary" id="viewConfigBtn">查看配置</button>
</p>
</div>
<div class="card mt-3">
<div class="card-header">配置文件内容</div>
<div class="card-body">
<pre id="configContent" class="bg-light p-3" style="max-height: 400px; overflow-y: auto;"></pre>
</div>
</div>
</div>
</div>
<script>
// 加载模板参数
function loadTemplateParams(type, name) {
if (!name) {
document.getElementById(type + 'Params').innerHTML = '';
return;
}
fetch(`/get_template_params?type=${type}s&name=${name}`)
.then(response => response.json())
.then(data => {
if (data.error) {
alert('错误: ' + data.error);
return;
}
let html = '<div class="row">';
for (let param of data.params) {
html += `
<div class="col-md-6">
<div class="mb-3">
<label for="${type}_${param}" class="form-label">${param}</label>
<input type="text" class="form-control" id="${type}_${param}"
data-param="${param}" required>
</div>
</div>
`;
}
html += '</div>';
document.getElementById(type + 'Params').innerHTML = html;
})
.catch(error => {
console.error('Error:', error);
alert('获取参数失败: ' + error);
});
}
// 创建作业
function createJob() {
// 收集基本信息
const jobName = document.getElementById('jobName').value;
const jobMode = document.getElementById('jobMode').value;
const parallelism = document.getElementById('parallelism').value;
const engine = document.getElementById('engine').value;
const runImmediately = document.getElementById('runImmediately').checked;
// 收集数据源参数
const sourceType = document.getElementById('sourceType').value;
const sourceParams = collectParams('source');
// 收集转换参数
const transformType = document.getElementById('transformType').value;
const transformParams = transformType ? collectParams('transform') : {};
// 收集目标参数
const sinkType = document.getElementById('sinkType').value;
const sinkParams = collectParams('sink');
// 验证必填项
if (!jobName || !sourceType || !sinkType) {
alert('请填写所有必填项');
return;
}
// 构造请求数据
const data = {
job_name: jobName,
source: sourceType,
source_params: sourceParams,
transform: transformType || null,
transform_params: transformParams,
sink: sinkType,
sink_params: sinkParams,
mode: jobMode,
parallelism: parseInt(parallelism),
engine: engine,
run: runImmediately
};
// 发送请求
fetch('/create_job', {
method: 'POST',
headers: {
'Content-Type': 'application/json'
},
body: JSON.stringify(data)
})
.then(response => response.json())
.then(data => {
if (data.status === 'success') {
document.getElementById('resultMessage').textContent = data.message;
document.getElementById('jobForm').style.display = 'none';
document.getElementById('jobResult').style.display = 'block';
// 设置查看配置按钮
document.getElementById('viewConfigBtn').onclick = function() {
fetch(data.config_path)
.then(response => response.text())
.then(content => {
document.getElementById('configContent').textContent = content;
})
.catch(error => {
console.error('Error:', error);
alert('获取配置文件失败: ' + error);
});
};
} else {
alert('错误: ' + data.message);
}
})
.catch(error => {
console.error('Error:', error);
alert('创建作业失败: ' + error);
});
}
// 收集参数
function collectParams(type) {
const params = {};
const container = document.getElementById(type + 'Params');
const inputs = container.querySelectorAll('input[data-param]');
for (let input of inputs) {
params[input.dataset.param] = input.value;
}
return params;
}
// 显示作业表单
function showJobForm() {
document.getElementById('jobForm').style.display = 'block';
document.getElementById('jobResult').style.display = 'none';
}
</script>
</body>
</html>
现在,让我们添加一个启动Web界面的脚本:
bash:/Users/francis/TraeProject/seatunnel/easy-seatunnel/bin/start-web.sh
#!/bin/bash
# 获取脚本所在目录
SCRIPT_DIR=$(cd "$(dirname "$0")" && pwd)
PROJECT_ROOT=$(cd "${SCRIPT_DIR}/.." && pwd)
WEB_APP="${PROJECT_ROOT}/web/app.py"
# 检查依赖
if ! command -v python3 &> /dev/null; then
echo "错误: 未找到Python3,请先安装Python3"
exit 1
fi
# 检查Flask是否安装
if ! python3 -c "import flask" &> /dev/null; then
echo "正在安装Flask..."
pip3 install flask
fi
# 启动Web应用
echo "启动SeaTunnel简易配置工具Web界面..."
echo "请访问 http://localhost:5000"
python3 "${WEB_APP}"
别忘了添加执行权限:
bash
chmod +x /Users/francis/TraeProject/seatunnel/easy-seatunnel/bin/start-web.sh
使用示例
下面通过一个完整的示例,展示如何使用我们的封装工具:
命令行方式
假设我们要从MySQL读取数据并写入到Elasticsearch:
bash
# 进入项目目录
cd /Users/francis/TraeProject/seatunnel
# 使用命令行工具创建配置
./easy-seatunnel/bin/easy-seatunnel.sh \
--job-name mysql-to-es \
--source mysql \
--source-params '{"jdbc_url":"jdbc:mysql://localhost:3306/test","username":"root","password":"password","query":"SELECT * FROM users","table_name":"users"}' \
--sink elasticsearch \
--sink-params '{"es_host":"localhost:9200","index_name":"users_index","source_table":"users"}' \
--mode BATCH \
--parallelism 2 \
--engine flink \
--run
Web界面方式
- 启动Web界面:
bash
cd /Users/francis/TraeProject/seatunnel
./easy-seatunnel/bin/start-web.sh
-
打开浏览器访问 http://localhost:5000
-
在Web界面上填写相关配置:
- 作业名称:mysql-to-es
- 作业模式:批处理
- 并行度:2
- 数据源类型:mysql
- 数据源参数:填写MySQL连接信息
- 目标类型:elasticsearch
- 目标参数:填写ES连接信息
- 执行引擎:Flink
- 勾选"生成配置后立即运行"
-
点击"创建作业"按钮
部署指南
前置条件
- JDK 1.8+
- Python 3.6+
- Flink 1.12.x (或其他支持的引擎)
- SeaTunnel最新版本
安装步骤
- 下载并安装SeaTunnel:
bash
# 创建工作目录
mkdir -p /Users/francis/TraeProject/seatunnel
cd /Users/francis/TraeProject/seatunnel
# 下载SeaTunnel
wget https://dlcdn.apache.org/seatunnel/2.3.3/apache-seatunnel-2.3.3-bin.tar.gz
# 解压
tar -zxvf apache-seatunnel-2.3.3-bin.tar.gz
mv apache-seatunnel-2.3.3/* .
rm -rf apache-seatunnel-2.3.3 apache-seatunnel-2.3.3-bin.tar.gz
- 创建封装工具目录结构:
bash
# 创建目录结构
mkdir -p /Users/francis/TraeProject/seatunnel/easy-seatunnel/bin
mkdir -p /Users/francis/TraeProject/seatunnel/easy-seatunnel/templates/{sources,transforms,sinks}
mkdir -p /Users/francis/TraeProject/seatunnel/easy-seatunnel/output
mkdir -p /Users/francis/TraeProject/seatunnel/easy-seatunnel/web/templates
-
复制前面提供的所有脚本和模板文件到相应目录
-
安装依赖:
bash
# 安装Python依赖
pip3 install flask
- 添加执行权限:
bash
chmod +x /Users/francis/TraeProject/seatunnel/easy-seatunnel/bin/*.sh
chmod +x /Users/francis/TraeProject/seatunnel/easy-seatunnel/bin/*.py
配置Flink环境
确保Flink环境已正确配置:
bash
# 下载Flink(如果尚未安装)
wget https://archive.apache.org/dist/flink/flink-1.14.6/flink-1.14.6-bin-scala_2.11.tgz
tar -zxvf flink-1.14.6-bin-scala_2.11.tgz
mv flink-1.14.6 /Users/francis/TraeProject/flink
# 配置环境变量
echo 'export FLINK_HOME=/Users/francis/TraeProject/flink' >> ~/.bash_profile
echo 'export PATH=$PATH:$FLINK_HOME/bin' >> ~/.bash_profile
source ~/.bash_profile
验证安装
运行一个简单的测试作业来验证安装:
bash
cd /Users/francis/TraeProject/seatunnel
./easy-seatunnel/bin/easy-seatunnel.sh \
--job-name test-job \
--source fake \
--source-params '{"row_num":"10","table_name":"test_table"}' \
--sink console \
--sink-params '{"source_table":"test_table"}' \
--run
使用示例
场景一:MySQL到Elasticsearch
这是一个典型的数据同步场景,将MySQL数据库中的数据同步到Elasticsearch索引中。
命令行方式
bash
./easy-seatunnel/bin/easy-seatunnel.sh \
--job-name mysql-to-es \
--source mysql \
--source-params '{"jdbc_url":"jdbc:mysql://localhost:3306/test","username":"root","password":"password","query":"SELECT * FROM users","table_name":"users"}' \
--sink elasticsearch \
--sink-params '{"es_host":"localhost:9200","index_name":"users_index","source_table":"users"}' \
--mode BATCH \
--parallelism 2 \
--engine flink \
--run
Web界面方式
- 启动Web界面:
./easy-seatunnel/bin/start-web.sh
- 访问 http://localhost:5000
- 填写表单:
- 作业名称:mysql-to-es
- 数据源:mysql
- 数据源参数:填写MySQL连接信息
- 目标:elasticsearch
- 目标参数:填写ES连接信息
- 点击"创建作业"
场景二:Kafka到HDFS
实时将Kafka消息写入HDFS,适合日志收集场景。
命令行方式
bash
./easy-seatunnel/bin/easy-seatunnel.sh \
--job-name kafka-to-hdfs \
--source kafka \
--source-params '{"bootstrap_servers":"localhost:9092","topic":"logs","group_id":"seatunnel","table_name":"logs"}' \
--transform field_select \
--transform-params '{"fields":"timestamp,level,message","source_table":"logs","result_table":"logs_filtered"}' \
--sink hdfs \
--sink-params '{"fs_default_fs":"hdfs://localhost:9000","path":"/data/logs","source_table":"logs_filtered"}' \
--mode STREAMING \
--parallelism 4 \
--engine flink \
--run
扩展功能
添加新的数据源模板
要添加新的数据源模板,只需在templates/sources
目录下创建新的模板文件:
bash
# 创建新的数据源模板
cat > /Users/francis/TraeProject/seatunnel/easy-seatunnel/templates/sources/mongodb.template << 'EOF'
source {
MongoDB {
uri = "{{mongo_uri}}"
database = "{{database}}"
collection = "{{collection}}"
result_table_name = "{{table_name}}"
# 高级参数(默认值)
fetch_size = 1000
schema = {}
}
}
EOF
添加新的转换模板
同样,可以添加新的数据转换模板:
bash
# 创建新的转换模板
cat > /Users/francis/TraeProject/seatunnel/easy-seatunnel/templates/transforms/sql.template << 'EOF'
transform {
Sql {
source_table_name = "{{source_table}}"
result_table_name = "{{result_table}}"
query = "{{sql_query}}"
}
}
EOF
添加新的目标模板
添加新的数据目标模板:
bash
# 创建新的目标模板
cat > /Users/francis/TraeProject/seatunnel/easy-seatunnel/templates/sinks/clickhouse.template << 'EOF'
sink {
Clickhouse {
host = "{{host}}"
database = "{{database}}"
table = "{{table}}"
username = "{{username}}"
password = "{{password}}"
source_table_name = "{{source_table}}"
# 高级参数(默认值)
batch_size = 1000
retry = 1
}
}
EOF
总结与展望
本文详细介绍了如何基于Apache SeaTunnel构建一个简易的数据集成工具,通过模板化配置和友好的用户界面,大大降低了使用门槛。用户只需关注核心业务参数,无需深入了解SeaTunnel的复杂配置细节。
主要特点
- 简化配置:将复杂的SeaTunnel配置简化为少量必要参数
- 双重接口:同时提供命令行和Web界面,满足不同用户需求
- 模板化设计:预定义常用数据源模板,易于扩展
- 一键执行:配置完成后可直接运行,无需额外步骤
未来展望
- 任务监控:添加任务执行状态监控和日志查看功能
- 定时调度:集成定时调度功能,支持周期性任务执行
- 数据预览:添加数据源和结果预览功能
- 智能推荐:根据数据特征自动推荐合适的配置参数
- 多任务管理:支持多任务并行管理和依赖关系设置
通过这种封装方式,我们可以充分利用SeaTunnel强大的数据集成能力,同时大幅降低使用门槛,让更多用户能够轻松实现数据集成需求。无论是数据工程师还是业务分析人员,都能通过这个简易工具快速构建自己的数据管道。
正如SeaTunnel的名字所暗示的那样,我们的封装工具就像是在海底隧道上修建了一条高速公路,让数据在不同系统间的流转变得更加顺畅和高效。🌊🚀