apache/seatunnel-tools

Última actividad de origen registrada: 27 de febrero de 2026 a las 02:45

Catálogo de SkillsMP actualizado: 9 de noviembre de 2026 a las 14:22

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# Apache SeaTunnel Tools **English** | [中文](README_CN.md) Auxiliary tools for Apache SeaTunnel focusing on developer/operator productivity around configuration, conversion, LLM integration, packaging, and diagnostics. ## 🎯 What's Inside | Tool | Purpose | Status | |------|---------|--------| | **SeaTunnel Skill** | Claude AI integration for SeaTunnel operations | ✅ New | | **SeaTunnel MCP Server** | Model Context Protocol for LLM integration | ✅ Available | | **x2seatunnel** | Configuration converter (DataX → SeaTunnel) | ✅ Available | --- ## ⚡ Quick Start ### For SeaTunnel Skill (Claude Code Integration) **Installation & Setup:** ```bash # 1. Clone this repository git clone https://github.com/apache/seatunnel-tools.git cd seatunnel-tools # 2. Copy seatunnel-skill to Claude Code skills directory cp -r seatunnel-skill ~/.claude/skills/ # 3. Restart Claude Code or reload skills # Then use: /seatunnel-skill "your prompt here" ``` **Quick Example:** ```bash # Query SeaTunnel documentation /seatunnel-skill "How do I configure a MySQL to PostgreSQL job?" # Get connector information /seatunnel-skill "List all available Kafka connector options" # Debug configuration issues /seatunnel-skill "Why is my job failing with OutOfMemoryError?" ``` ### For SeaTunnel Core (Direct Installation) ```bash # Download binary (recommended) wget https://archive.apache.org/dist/seatunnel/2.3.12/apache-seatunnel-2.3.12-bin.tar.gz tar -xzf apache-seatunnel-2.3.12-bin.tar.gz cd apache-seatunnel-2.3.12 # Verify installation ./bin/seatunnel.sh --version # Run your first job ./bin/seatunnel.sh -c config/hello_world.conf -e spark ``` --- ## 📋 Features Overview ### SeaTunnel Skill - 🤖 **AI-Powered Assistant**: Get instant help with SeaTunnel concepts and configurations - 📚 **Knowledge Integration**: Query official documentation and best practices - 🔍 **Smart Debugging**: Analyze errors and suggest fixes - 💡 **Code Examples**: Generate configuration examples for your use case ### SeaTunnel Core Engine - **Multimodal Support**: Structured, unstructured, and semi-structured data - **100+ Connectors**: Databases, data warehouses, cloud services, message queues - **Multiple Engines**: Zeta (lightweight), Spark, Flink - **Synchronization Modes**: Batch, Streaming, CDC (Change Data Capture) - **Real-time Performance**: 100K - 1M records/second throughput --- ## 🔧 Installation & Setup ### Method 1: SeaTunnel Skill (AI Integration) **Step 1: Copy Skill File** ```bash mkdir -p ~/.claude/skills cp -r seatunnel-skill ~/.claude/skills/ ``` **Step 2: Verify Installation** ```bash # In Claude Code, try: /seatunnel-skill "What is SeaTunnel?" ``` **Step 3: Start Using** ```bash # Help with configuration /seatunnel-skill "Create a MySQL to Elasticsearch job config" # Troubleshoot errors /seatunnel-skill "My Kafka connector keeps timing out" # Learn features /seatunnel-skill "Explain CDC (Change Data Capture) in SeaTunnel" ``` ### Method 2: SeaTunnel Binary Installation **Supported Platforms**: Linux, macOS, Windows ```bash # Download latest version VERSION=2.3.12 wget https://archive.apache.org/dist/seatunnel/${VERSION}/apache-seatunnel-${VERSION}-bin.tar.gz # Extract tar -xzf apache-seatunnel-${VERSION}-bin.tar.gz cd apache-seatunnel-${VERSION} # Set environment export JAVA_HOME=/path/to/java export PATH=$PATH:$(pwd)/bin # Verify seatunnel.sh --version ``` ### Method 3: Build from Source ```bash # Clone repository git clone https://github.com/apache/seatunnel.git cd seatunnel # Build mvn clean install -DskipTests # Run from distribution cd seatunnel-dist/target/apache-seatunnel-*-bin/apache-seatunnel-* ./bin/seatunnel.sh --version ``` ### Method 4: Docker ```bash # Pull official image docker pull apache/seatunnel:latest # Run container docker run -it apache/seatunnel:latest /bin/bash # Run job directly docker run -v /path/to/config:/config \ apache/seatunnel:latest \ seatunnel.sh -c /config/job.conf -e spark ``` --- ## 💻 Usage Guide ### Use Case 1: MySQL to PostgreSQL (Batch) **config/mysql_to_postgres.conf** ```hocon env { job.mode = "BATCH" job.name = "MySQL to PostgreSQL" } source { Jdbc { driver = "com.mysql.cj.jdbc.Driver" url = "jdbc:mysql://mysql-host:3306/mydb" user = "root" password = "password" query = "SELECT * FROM users" connection_check_timeout_sec = 100 } } sink { Jdbc { driver = "org.postgresql.Driver" url = "jdbc:postgresql://pg-host:5432/mydb" user = "postgres" password = "password" database = "mydb" table = "users" primary_keys = ["id"] connection_check_timeout_sec = 100 } } ``` **Run:** ```bash seatunnel.sh -c config/mysql_to_postgres.conf -e spark ``` ### Use Case 2: Kafka Streaming to Elasticsearch **config/kafka_to_es.conf** ```hocon env { job.mode = "STREAMING" job.name = "Kafka to Elasticsearch" parallelism = 2 } source { Kafka { bootstrap.servers = "kafka-host:9092" topic = "events" consumer.group = "seatunnel-group" format = "json" schema = { fields { event_id = "bigint" event_name = "string" timestamp = "bigint" } } } } sink { Elasticsearch { hosts = ["es-host:9200"] index = "events" username = "elastic" password = "password" } } ``` **Run:** ```bash seatunnel.sh -c config/kafka_to_es.conf -e flink ``` ### Use Case 3: MySQL CDC to Kafka **config/mysql_cdc_kafka.conf** ```hocon env { job.mode = "STREAMING" job.name = "MySQL CDC to Kafka" } source { Mysql { server_id = 5400 hostname = "mysql-host" port = 3306 username = "root" password = "password" database = ["mydb"] table = ["users", "orders"] startup.mode = "initial" } } sink { Kafka { bootstrap.servers = "kafka-host:9092" topic = "mysql_cdc" format = "canal_json" semantic = "EXACTLY_ONCE" } } ``` **Run:** ```bash seatunnel.sh -c config/mysql_cdc_kafka.conf -e flink ``` --- ## 📚 API Reference ### Core Connector Types **Source Connectors** - `Jdbc` - Generic JDBC databases (MySQL, PostgreSQL, Oracle, SQL Server) - `Kafka` - Apache Kafka topics - `Mysql` - MySQL with CDC support - `MongoDB` - MongoDB collections - `PostgreSQL` - PostgreSQL with CDC - `S3` - Amazon S3 and compatible storage - `Http` - HTTP/HTTPS endpoints - `FakeSource` - For testing **Sink Connectors** - `Jdbc` - Write to JDBC-compatible databases - `Kafka` - Publish to Kafka topics - `Elasticsearch` - Write to Elasticsearch indices - `S3` - Write to S3 buckets - `Redis` - Write to Redis - `HBase` - Write to HBase tables - `Console` - Output to console **Transform Connectors** - `Sql` - Execute SQL transformations - `FieldMapper` - Rename/map columns - `JsonPath` - Extract data from JSON --- ## ⚙️ Configuration & Tuning ### Environment Variables ```bash # Java configuration export JAVA_HOME=/path/to/java export JVM_OPTS="-Xms1G -Xmx4G" # Spark configuration (if using Spark engine) export SPARK_HOME=/path/to/spark export SPARK_MASTER=spark://master:7077 # Flink configuration (if using Flink engine) export FLINK_HOME=/path/to/flink # SeaTunnel configuration export SEATUNNEL_HOME=/path/to/seatunnel ``` ### Performance Tuning for Batch Jobs ```hocon env { job.mode = "BATCH" parallelism = 8 # Increase for larger clusters } source { Jdbc { split_size = 100000 # Parallel reads fetch_size = 5000 } } sink { Jdbc { batch_size = 1000 # Batch inserts max_retries = 3 } } ``` ### Performance Tuning for Streaming Jobs ```hocon env { job.mode = "STREAMING" parallelism = 4 checkpoint.interval = 30000 # 30 seconds } source { Kafka { consumer.group = "seatunnel-consumer" max_poll_records = 500 } } ``` --- ## 🛠️ Development Guide ### Project Structure ``` seatunnel-tools/ ├── seatunnel-skill/ # Claude Code AI skill ├── seatunnel-mcp/ # MCP server for LLM integration ├── x2seatunnel/ # DataX to SeaTunnel converter └── README.md ``` ### SeaTunnel Core Architecture ``` seatunnel/ ├── seatunnel-api/ # Core APIs ├── seatunnel-core/ # Execution engine ├── seatunnel-engines/ # Engine implementations │ ├── seatunnel-engine-flink/ │ ├── seatunnel-engine-spark/ │ └── seatunnel-engine-zeta/ ├── seatunnel-connectors/ # Connector implementations └── seatunnel-dist/ # Distribution package ``` ### Building SeaTunnel from Source ```bash # Full build git clone https://github.com/apache/seatunnel.git cd seatunnel mvn clean install -DskipTests # Build specific module mvn clean install -pl seatunnel-connectors/seatunnel-connectors-seatunnel-kafka -DskipTests ``` ### Running Tests ```bash # Unit tests mvn test # Specific test class mvn test -Dtest=MySqlConnectorTest # Integration tests mvn verify ``` --- ## 🐛 Troubleshooting (6 Common Issues) ### Issue 1: ClassNotFoundException: com.mysql.jdbc.Driver **Solution:** ```bash wget https://dev.mysql.com/get/Downloads/Connector-J/mysql-connector-java-8.0.33.jar cp mysql-connector-java-8.0.33.jar $SEATUNNEL_HOME/lib/ seatunnel.sh -c config/job.conf -e spark ``` ### Issue 2: OutOfMemoryError: Java heap space **Solution:** ```bash export JVM_OPTS="-Xms2G -Xmx8G" echo 'JVM_OPTS="-Xms2G -Xmx8G"' >> $SEATUNNEL_HOME/bin/seatunnel-env.sh ``` ### Issue 3: Connection refused: connect **Solution:** ```bash # Verify connectivity ping source-host telnet source-host 3306 # Check credentials mysql -h source-host -u root -p ``` ### Issue 4: Table not found during CDC **Solution:** ```sql -- Check binlog status SHOW VARIABLES LIKE 'log_bin'; -- Enable binlog in my.cnf [mysqld] log_bin = mysql-bin binlog_format = row ``` ### Issue 5: Slow Job Performance **Solution:** ```hocon env { parallelism = 8 # Increase parallelism } source { Jdbc { fetch_size = 5000 split_size = 100000 } } sink { Jdbc { batch_size = 2000 } } ``` ### Issue 6: Kafka offset out of range **Solution:** ```hocon source { Kafka { auto.offset.reset = "earliest" # or "latest" } } ``` --- ## ❓ FAQ (8 Common Questions) **Q: What's the difference between BATCH and STREAMING mode?** A: - **BATCH**: One-time execution, suitable for full database migration - **STREAMING**: Continuous execution, suitable for real-time sync and CDC **Q: How do I handle schema changes during CDC?** A: Configure auto-detection in source: ```hocon source { Mysql { schema_change_mode = "auto" } } ``` **Q: Can I transform data during synchronization?** A: Yes, use SQL transform: ```hocon transform { Sql { sql = "SELECT id, UPPER(name) as name FROM source" } } ``` **Q: What's the maximum throughput?** A: Typical throughput is 100K - 1M records/second per executor. Depends on: - Hardware (CPU, RAM, Network) - Database configuration - Data size per record - Network latency **Q: How do I handle errors in production?** A: Configure restart strategy: ```hocon env { restart_strategy = "exponential_delay" restart_strategy.exponential_delay.initial_delay = 1000 restart_strategy.exponential_delay.max_delay = 30000 restart_strategy.exponential_delay.multiplier = 2.0 } ``` **Q: Is there a web UI for job management?** A: Yes! Use SeaTunnel Web Project: ```bash git clone https://github.com/apache/seatunnel-web.git cd seatunnel-web mvn clean install java -jar target/seatunnel-web-*.jar # Access at http://localhost:8080 ``` **Q: How do I use the SeaTunnel Skill with Claude Code?** A: After copying to `~/.claude/skills/`, use: ```bash /seatunnel-skill "your question about SeaTunnel" ``` **Q: Which engine should I use: Spark, Flink, or Zeta?** A: - **Zeta**: Lightweight, no external dependencies, single machine - **Spark**: Batch and batch-stream processing on distributed clusters - **Flink**: Advanced streaming and CDC on distributed clusters --- ## 🔗 Resources & Links ### Official Documentation - [SeaTunnel Website](https://seatunnel.apache.org/) - [GitHub Repository](https://github.com/apache/seatunnel) - [Connector List](https://seatunnel.apache.org/docs/2.3.12/connector-v2/overview) - [HOCON Configuration Guide](https://github.com/lightbend/config/blob/main/HOCON.md) ### Community & Support - [Slack Channel](https://the-asf.slack.com/archives/C01CB5186TL) - [Mailing Lists](https://seatunnel.apache.org/community/mail-lists/) - [GitHub Issues](https://github.com/apache/seatunnel/issues) - [Discussion Forum](https://github.com/apache/seatunnel/discussions) ### Related Projects - [SeaTunnel Web UI](https://github.com/apache/seatunnel-web) - [SeaTunnel Tools](https://github.com/apache/seatunnel-tools) - [Apache Kafka](https://kafka.apache.org/) - [Apache Flink](https://flink.apache.org/) - [Apache Spark](https://spark.apache.org/) --- ## 📄 Individual Tools ### 1. SeaTunnel Skill (New) - **Purpose**: AI-powered assistant for SeaTunnel in Claude Code - **Location**: [seatunnel-skill/](seatunnel-skill/) - **Quick Setup**: `cp -r seatunnel-skill ~/.claude/skills/` - **Usage**: `/seatunnel-skill "your question"` ### 2. SeaTunnel MCP Server - **Purpose**: Model Context Protocol integration for LLM systems - **Location**: [seatunnel-mcp/](seatunnel-mcp/) - **English**: [README.md](seatunnel-mcp/README.md) - **Chinese**: [README_CN.md](seatunnel-mcp/README_CN.md) - **Quick Start**: [QUICK_START.md](seatunnel-mcp/docs/QUICK_START.md) ### 3. x2seatunnel - **Purpose**: Convert DataX and other configurations to SeaTunnel format - **Location**: [x2seatunnel/](x2seatunnel/) - **English**: [README.md](x2seatunnel/README.md) - **Chinese**: [README_zh.md](x2seatunnel/README_zh.md) --- ## 🤝 Contributing Issues and PRs are welcome! For the main SeaTunnel engine, see [Apache SeaTunnel](https://github.com/apache/seatunnel). For these tools, please contribute to [SeaTunnel Tools](https://github.com/apache/seatunnel-tools). --- **Last Updated**: 2026-01-28 | **License**: Apache 2.0

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Apache SeaTunnel - A multimodal, high-performance, distributed data integration tool for massive data synchronization across 100+ connectors

Idioma del texto original: inglés

2026-02-27

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