Seatunnel Skill

---
name: seatunnel-skill
description: Apache SeaTunnel - A multimodal, high-performance, distributed data integration tool for massive data synchronization across 100+ connectors
author: auto-generated by repo2skill
platform: github
source: https://github.com/apache/seatunnel
website_source: https://github.com/apache/seatunnel-website
tags: [data-integration, data-pipeline, etl, elt, real-time-streaming, batch-processing, cdc, distributed-computing, apache, java, docusaurus, documentation]
version: 2.3.13
generated: 2026-02-26
license: Apache 2.0
repository: apache/seatunnel
website_repository: apache/seatunnel-website
---

# Apache SeaTunnel OpenCode Skill

Apache SeaTunnel is a **multimodal, high-performance, distributed data integration tool** capable of synchronizing vast amounts of data daily. It connects hundreds of evolving data sources with support for real-time, CDC (Change Data Capture), and full database synchronization.

## Quick Start

### Prerequisites

- **Java**: JDK 8 or higher
- **Maven**: 3.6.0 or higher (for building from source)
- **Python**: 3.7+ (optional, for Python API)
- **Git**: For cloning the repository

### Installation

#### 1. Clone Repository
```bash
git clone https://github.com/apache/seatunnel.git
cd seatunnel
```

#### 2. Build from Source
```bash
# Build entire project
mvn clean install -DskipTests

# Build specific module
mvn clean install -pl seatunnel-core -DskipTests
```

#### 3. Download Pre-built Binary (Recommended)
Visit the [official download page](https://seatunnel.apache.org/download) and select your version:

```bash
VERSION=2.3.12
wget https://archive.apache.org/dist/seatunnel/${VERSION}/apache-seatunnel-${VERSION}-bin.tar.gz
tar -xzf apache-seatunnel-${VERSION}-bin.tar.gz
cd apache-seatunnel-${VERSION}
```

#### 4. Basic Configuration
```bash
# Set JAVA_HOME
export JAVA_HOME=/path/to/java

# Add to PATH
export PATH=$PATH:/path/to/seatunnel/bin
```

#### 5. Verify Installation
```bash
seatunnel --version
```

### Hello World Example

Create a simple data integration job:

**config/hello_world.conf**
```hocon
env {
  job.mode = "BATCH"
  job.name = "Hello World"
}

source {
  FakeSource {
    row.num = 100
    schema = {
      fields {
        id = "bigint"
        name = "string"
        age = "int"
      }
    }
  }
}

sink {
  Console {
    format = "json"
  }
}
```

Run the job:
```bash
seatunnel.sh -c config/hello_world.conf -e spark
# or with flink
seatunnel.sh -c config/hello_world.conf -e flink
```

---

## Overview

### Purpose and Target Users

**SeaTunnel** is designed for:
- **Data Engineers**: Building large-scale data pipelines with minimal complexity
- **DevOps Teams**: Managing data integration infrastructure
- **Enterprise Platforms**: Handling 100+ billion data records daily
- **Real-time Analytics**: Supporting streaming data synchronization
- **Legacy System Migration**: CDC-based incremental sync from transactional databases

### Core Capabilities

1. **Multimodal Support**
   - Structured data (databases, data warehouses)
   - Unstructured data (video, images, binaries)
   - Semi-structured data (JSON, logs, binlog streams)

2. **Multiple Synchronization Methods**
   - **Batch**: Full historical data transfer
   - **Streaming**: Real-time data pipeline
   - **CDC**: Incremental capture from databases
   - **Full + Incremental**: Combined approach

3. **100+ Pre-built Connectors**
   - Databases: MySQL, PostgreSQL, Oracle, SQL Server, MongoDB, DB2, OceanBase
   - Data Warehouses: Snowflake, BigQuery, Redshift, Iceberg
   - Data Lakes: Hive, Iceberg, Hudi, Paimon
   - Cloud SaaS: Salesforce, Shopify, Google Sheets
   - Message Queues: Kafka, RabbitMQ, Pulsar, RocketMQ, ActiveMQ
   - Search Engines: Elasticsearch, OpenSearch, Easysearch
   - OLAP Engines: ClickHouse, StarRocks, Doris, Druid
   - Time-series Databases: IoTDB, TDengine, InfluxDB
   - Vector Databases: Milvus, Qdrant
   - Graph Databases: Neo4j
   - Object Storage: S3, GCS, HDFS, OssFile, CosFile

4. **Multi-Engine Support**
   - **Zeta Engine**: Lightweight, standalone deployment (no Spark/Flink required)
   - **Apache Flink**: Distributed streaming engine
   - **Apache Spark**: Distributed batch/batch-stream processing

---

## Features

### High-Performance

- **Distributed Snapshot Algorithm**: Ensures data consistency without locks
- **JDBC Multiplexing**: Minimizes database connections for real-time sync
- **Log Parsing**: Efficient CDC implementation with binary log analysis
- **Resource Optimization**: Reduces computing resources and I/O overhead

### Data Quality & Reliability

- **Real-time Monitoring**: Track synchronization progress and data metrics
- **Data Loss Prevention**: Transactional guarantees (exactly-once semantics)
- **Deduplication**: Prevents duplicate records during reprocessing
- **Error Handling**: Graceful failure recovery and retry logic

### Developer-Friendly

- **SQL-like Configuration**: Intuitive HOCON job definition syntax
- **Visual Web UI**: Drag-and-drop job builder (SeaTunnel Web Project)
- **Extensive Documentation**: Comprehensive guides with i18n (English + Chinese)
- **Community Support**: Active community via Slack and mailing lists

### Production Ready

- **Proven at Scale**: Used in enterprises processing billions of records daily
- **Version Stability**: Regular releases with backward compatibility
- **Enterprise Features**: Multi-tenancy, RBAC, audit logging
- **Cloud Native**: Kubernetes-ready deployment

---

## Installation

### Installation Methods

#### Method 1: Binary Download (Recommended for Quick Start)

```bash
# 1. Download binary
VERSION=2.3.12
wget https://archive.apache.org/dist/seatunnel/${VERSION}/apache-seatunnel-${VERSION}-bin.tar.gz

# 2. Extract
tar -xzf apache-seatunnel-${VERSION}-bin.tar.gz
cd apache-seatunnel-${VERSION}

# 3. Verify
./bin/seatunnel.sh --version
```

#### Method 2: Build from Source

```bash
# 1. Clone repository
git clone https://github.com/apache/seatunnel.git
cd seatunnel

# 2. Build with Maven
mvn clean install -DskipTests

# 3. Navigate to distribution
cd seatunnel-dist/target/apache-seatunnel-*-bin/apache-seatunnel-*

# 4. Verify
./bin/seatunnel.sh --version
```

#### Method 3: Docker

```bash
# Pull official Docker image
docker pull apache/seatunnel:latest

# Run container
docker run -it apache/seatunnel:latest /bin/bash

# Or run a job directly
docker run -v /path/to/config:/config \
  apache/seatunnel:latest \
  seatunnel.sh -c /config/job.conf -e spark
```

### Environment Setup

#### Set Java Home
```bash
# Bash/Zsh
export JAVA_HOME=/path/to/java
export PATH=$JAVA_HOME/bin:$PATH

# Verify
java -version
```

#### Configure for Spark Engine
```bash
# Set Spark Home (if using Spark engine)
export SPARK_HOME=/path/to/spark

# Verify Spark installation
$SPARK_HOME/bin/spark-submit --version
```

#### Configure for Flink Engine
```bash
# Set Flink Home (if using Flink engine)
export FLINK_HOME=/path/to/flink

# Verify Flink installation
$FLINK_HOME/bin/flink --version
```

### System Requirements

| Requirement | Version/Spec |
|---|---|
| Java | JDK 1.8+ |
| Memory | 2GB+ (minimum), 8GB+ (recommended) |
| Disk | 500MB (binary) + job storage |
| Network | Connectivity to source/sink systems |
| Scala | 2.12.15 (for Spark/Flink integration) |

---

## Usage

### 1. Job Configuration (HOCON Format)

SeaTunnel uses **HOCON** (Human-Optimized Config Object Notation) for job configuration.

**Basic Structure:**
```hocon
env {
  job.mode = "BATCH"  # or STREAMING
  job.name = "My Job"
  parallelism = 4
}

source {
  SourceConnector {
    option1 = value1
    option2 = value2
    schema = {
      fields {
        column1 = "type"
        column2 = "type"
      }
    }
  }
}

# Optional: Transform data
transform {
  TransformName {
    option = value
  }
}

sink {
  SinkConnector {
    option1 = value1
    option2 = value2
  }
}
```

### 2. Common Use Cases

#### 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"
    patterns = "event.*"
    consumer.group = "seatunnel-group"
    format = "json"
    schema = {
      fields {
        event_id = "bigint"
        event_name = "string"
        timestamp = "bigint"
        payload = "string"
      }
    }
  }
}

transform {
  Sql {
    sql = "SELECT event_id, event_name, FROM_UNIXTIME(timestamp/1000) as ts, payload FROM source"
  }
}

sink {
  Elasticsearch {
    hosts = ["es-host:9200"]
    index = "events"
    index_type = "_doc"
    username = "elastic"
    password = "password"
  }
}
```

Run:
```bash
seatunnel.sh -c config/kafka_to_es.conf -e flink
```

#### Use Case 3: CDC from MySQL 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"
    snapshot.split.size = 8096
    incremental.snapshot.chunk.size = 1024
    snapshot_fetch_size = 1024
    snapshot_lock_timeout_sec = 10
    server_time_zone = "UTC"
  }
}

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
```

### 3. Running Jobs

#### Local Mode (Single Machine)
```bash
# Using Spark (default)
seatunnel.sh -c config/job.conf -e spark

# Using Flink
seatunnel.sh -c config/job.conf -e flink

# Using Zeta (lightweight)
seatunnel.sh -c config/job.conf -e zeta
```

#### Cluster Mode
```bash
# Submit to Spark cluster
seatunnel.sh -c config/job.conf -e spark -m cluster -n hadoop-master:7077

# Submit to Flink cluster
seatunnel.sh -c config/job.conf -e flink -m remote -s localhost 8081
```

#### Verbose Output
```bash
seatunnel.sh -c config/job.conf -e spark -l DEBUG
```

#### Check Status
```bash
# View running jobs (Spark Cluster)
spark-submit --status <driver-id>

# View running jobs (Flink Cluster)
$FLINK_HOME/bin/flink list
```

### 4. SQL API (Advanced)

Use SQL for complex transformations:

```hocon
source {
  MySQL {
    # Source config...
  }
}

transform {
  Sql {
    # Multiple SQL statements
    sql = """
      SELECT
        id,
        UPPER(name) as name,
        age + 10 as age_plus_10,
        CURRENT_TIMESTAMP as created_at
      FROM source
      WHERE age > 18
    """
  }
}

sink {
  PostgreSQL {
    # Sink config...
  }
}
```

---

## API Reference

### Core Connector Types

#### Source Connectors
- **Jdbc**: Generic JDBC databases (MySQL, PostgreSQL, Oracle, SQL Server, DB2, OceanBase)
- **Kafka**: Apache Kafka topics
- **Mysql**: MySQL with CDC support
- **MongoDB**: MongoDB collections
- **PostgreSQL**: PostgreSQL with CDC
- **S3/OssFile/CosFile/HdfsFile**: Object storage / file systems
- **Http**: HTTP/HTTPS endpoints
- **Hive/Iceberg/Hudi/Paimon**: Data lake formats
- **Elasticsearch/Easysearch**: Search engines
- **Redis/HBase/Cassandra**: NoSQL databases
- **Pulsar/RocketMQ/RabbitMQ/ActiveMQ**: Message queues
- **ClickHouse/StarRocks/Doris/Druid**: OLAP engines
- **IoTDB/TDengine/InfluxDB**: Time-series databases
- **Milvus/Qdrant**: Vector databases
- **Neo4j**: Graph databases
- **FakeSource**: For testing and development

#### Transform Connectors
- **Sql**: Execute SQL transformations
- **Dummy**: Pass-through (testing)
- **FieldMapper**: Rename/map columns
- **JsonPath**: Extract data from JSON

#### 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
- **StarRocks**: Write to StarRocks tables
- **ClickHouse/Doris/Druid**: Write to OLAP engines
- **Hive/Iceberg/Hudi/Paimon**: Write to data lakes
- **Console**: Output to console (testing)

All source connectors above also have corresponding sink implementations where applicable.

### Configuration Options

#### Common Source Options
```hocon
source {
  ConnectorName {
    # Connection
    hostname = "host"
    port = 3306
    username = "user"
    password = "pass"

    # Data selection
    database = "db_name"
    table = "table_name"

    # Performance
    fetch_size = 1000
    connection_check_timeout_sec = 100
    split_size = 10000

    # Schema
    schema = {
      fields {
        id = "bigint"
        name = "string"
      }
    }
  }
}
```

#### Common Sink Options
```hocon
sink {
  ConnectorName {
    # Connection
    hostname = "host"
    port = 3306
    username = "user"
    password = "pass"

    # Write behavior
    database = "db_name"
    table = "table_name"
    primary_keys = ["id"]
    batch_size = 500

    # Error handling
    max_retries = 3
    retry_wait_time_ms = 1000
    on_duplicate_key_update_column_names = ["field1"]
  }
}
```

#### Engine Options
```hocon
env {
  # Execution mode
  job.mode = "BATCH"  # or STREAMING

  # Job identity
  job.name = "My Job"

  # Parallelism
  parallelism = 4

  # Checkpoint (streaming)
  checkpoint.interval = 60000

  # Restart strategy
  restart_strategy = "fixed_delay"
  restart_strategy.fixed_delay.attempts = 3
  restart_strategy.fixed_delay.delay = 10000
}
```

### Debugging and Monitoring

#### View Job Metrics
```bash
# During execution, monitor logs
tail -f logs/seatunnel.log

# Check specific log level
grep ERROR logs/seatunnel.log
```

#### Enable Debug Logging
```bash
# Set log level to DEBUG
seatunnel.sh -c config/job.conf -e spark -l DEBUG
```

#### Use Test Sources
```hocon
source {
  FakeSource {
    row.num = 1000
    schema = {
      fields {
        id = "bigint"
        name = "string"
      }
    }
  }
}

sink {
  Console {
    format = "json"
  }
}
```

---

## Configuration

### Project Structure
```
seatunnel/
├── bin/                          # Executable scripts
│   ├── seatunnel.sh             # Main entry point
│   └── seatunnel-submit.sh      # Spark submission script
├── config/                       # Configuration examples
│   ├── flink-conf.yaml          # Flink configuration
│   └── spark-conf.yaml          # Spark configuration
├── connectors/                  # Pre-built connectors
├── lib/                         # JAR dependencies
├── logs/                        # Runtime logs
└── plugin/                      # Plugin directory
```

### Environment Variables

```bash
# Java configuration
export JAVA_HOME=/path/to/java
export JVM_OPTS="-Xms1G -Xmx4G"

# Spark configuration
export SPARK_HOME=/path/to/spark
export SPARK_MASTER=spark://master:7077

# Flink configuration
export FLINK_HOME=/path/to/flink

# SeaTunnel configuration
export SEATUNNEL_HOME=/path/to/seatunnel
```

### Key Configuration Files

#### `seatunnel-env.sh`
Configure runtime environment:
```bash
JAVA_HOME=/path/to/java
JVM_OPTS="-Xms1G -Xmx4G -XX:+UseG1GC"
SPARK_HOME=/path/to/spark
FLINK_HOME=/path/to/flink
```

#### `flink-conf.yaml` (for Flink engine)
```yaml
taskmanager.memory.process.size: 2g
taskmanager.memory.jvm-overhead.fraction: 0.1
parallelism.default: 4
```

#### `spark-conf.yaml` (for Spark engine)
```yaml
driver-memory: 2g
executor-memory: 4g
num-executors: 4
```

### Performance Tuning

#### For Batch Jobs
```hocon
env {
  job.mode = "BATCH"
  parallelism = 8  # Increase for larger clusters
}

source {
  Jdbc {
    # Split large tables for parallel reads
    split_size = 100000
    fetch_size = 5000
  }
}

sink {
  Jdbc {
    # Batch inserts for better throughput
    batch_size = 1000
    # Use connection pooling
    max_retries = 3
  }
}
```

#### For Streaming Jobs
```hocon
env {
  job.mode = "STREAMING"
  parallelism = 4
  checkpoint.interval = 30000  # 30 seconds
}

source {
  Kafka {
    # Consumer group for parallel reads
    consumer.group = "seatunnel-consumer"
    # Batch reading
    max_poll_records = 500
  }
}
```

---

## Website & Documentation System

The official documentation site (https://seatunnel.apache.org) is managed through the `apache/seatunnel-website` repository, built with **Docusaurus 2.4.3**.

### How Documentation Works

Documentation content lives in the **main codebase** (`apache/seatunnel` repo, `docs/` directory). The website repo fetches docs via `npm run sync` (or `tools/build-docs.js`) before building.

The sync process:
1. Creates `swap/` directory, clones `apache/seatunnel` codebase
2. Copies `docs/en` to website's `docs/` directory
3. Copies `docs/zh` to `i18n/zh-CN/` for Chinese translations
4. Copies `docs/images` to `static/image_en` and `static/image_zh`
5. Copies `docs/sidebars.js` to root level

### Website Repository Structure
```
seatunnel-website/
├── blog/                          # Blog posts (EN)
├── community/                     # Community docs
│   ├── contribution_guide/        # Contribution guidelines
│   │   ├── contribute.md
│   │   ├── committer.md
│   │   ├── code-review.md
│   │   ├── release.md
│   │   └── subscribe.md
│   └── submit_guide/             # Submission guidelines
│       ├── document.md
│       ├── license.md
│       └── submit-code.md
├── docs/                          # Current version docs (synced from main repo)
├── docusaurus.config.js           # Site configuration
├── i18n/zh-CN/                    # Chinese translations
│   ├── docusaurus-plugin-content-blog/
│   ├── docusaurus-plugin-content-docs/
│   └── docusaurus-plugin-content-docs-community/
├── package.json
├── sidebars.js                    # Doc sidebar config (synced)
├── src/
│   ├── components/
│   ├── css/
│   ├── pages/
│   │   ├── home/                  # Homepage
│   │   ├── team/                  # Team page (with Base64 avatars)
│   │   ├── user/                  # User showcase
│   │   └── versions/             # Version selector
│   └── styles/
├── static/                        # Static assets
│   ├── doc/image/, image_en/, image_zh/
│   ├── home/, image/, user/
│   └── js/google_translate_init.js
├── tools/
│   ├── build-docs.js              # Doc sync script
│   ├── common.js                  # Shared constants
│   ├── version.js                 # Version management
│   ├── image-copy.js              # Image processing
│   └── fetch-team-avatars.js      # Team avatar updater
├── versioned_docs/                # Historical version docs (20 versions: 1.x ~ 2.3.12)
├── versioned_sidebars/            # Historical sidebars
├── versions.json                  # Version registry
└── seatunnel_web_versions.json    # Web UI version registry
```

### Documentation Categories (per version)

Each version's docs contain:
- `about.md` - Project overview
- `command/` - CLI commands (e.g., connector-check)
- `concept/` - Core concepts (config, schema-evolution, speed-limit, SQL config, event-listener)
- `connector-v2/` - Connector documentation
  - `source/` - Source connector docs (100+ connectors)
  - `sink/` - Sink connector docs
  - `changelog/` - Per-connector changelogs
  - `formats/` - Data formats (Avro, Canal JSON, Debezium JSON, OGG JSON, Protobuf)
- `contribution/` - Contributor guides
- `faq.md` - Frequently asked questions
- `other-engine/` - Flink/Spark engine specifics
- `seatunnel-engine/` - Zeta engine docs + telemetry
- `start-v2/` - Getting started guides
  - `docker/` - Docker deployment
  - `kubernetes/` - K8s deployment
  - `locally/` - Local setup
- `transform-v2/` - Transform documentation (SQL, etc.)

### Versioned Documentation

20 historical versions maintained: `1.x`, `2.1.0`~`2.1.3`, `2.2.0-beta`, `2.3.0-beta`~`2.3.12`

Total: ~3691 versioned doc files + ~1652 i18n files

### Website Development

```bash
# Clone
git clone git@github.com:apache/seatunnel-website.git
cd seatunnel-website

# Sync docs from main repo
npm run sync
# Or with SSH: export PROTOCOL_MODE=ssh && npm run sync

# Install dependencies
npm install

# Dev server (English)
npm run start

# Dev server (Chinese)
npm run start-zh

# Production build (needs ~10GB heap)
npm run build
# Or faster parallel build
npm run build:fast

# Serve built site
npm run serve
```

### Adding a New Version

```bash
# 1. Create versioned snapshot
npm run version <target_version>

# 2. Update download links
# Edit src/pages/download/st_data.json
```

### Branching Strategy

| Branch | Purpose |
|---|---|
| `main` | Default development branch |
| `asf-site` | Production (https://seatunnel.apache.org) |
| `asf-staging` | Staging (https://seatunnel.staged.apache.org) |

### CI/CD

GitHub Actions workflow (`.github/workflows/deploy.yml`):
- Triggers: push to `main`, PRs to `main`, daily cron (5:00 AM UTC)
- Node.js 18.20.7
- Steps: `npm install` -> `npm run sync` -> `npm run build` -> deploy to `asf-site` branch

### Key Conventions

- Directory names: lowercase, underscore-separated, plural (e.g., `scripts`, `components`)
- JS/static files: lowercase, dash-separated (e.g., `render-dom.js`)
- Images: stored under `static/{module_name}`
- Styles: placed in `src/css/`
- Most pages have "Edit this page" link pointing to GitHub source

---

## Development

### Project Architecture

**SeaTunnel** follows a modular 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/       # 100+ connector implementations
│   ├── seatunnel-connectors-*/ # One per connector type
└── seatunnel-dist/             # Distribution package
```

### Building from Source

#### Full Build
```bash
# Clone repository
git clone https://github.com/apache/seatunnel.git
cd seatunnel

# Build all modules
mvn clean install -DskipTests

# Build with tests (slower)
mvn clean install
```

#### Build Specific Module
```bash
# Build only Kafka connector
mvn clean install -pl seatunnel-connectors/seatunnel-connectors-seatunnel-kafka -DskipTests

# Build only Flink engine
mvn clean install -pl seatunnel-engines/seatunnel-engine-flink -DskipTests
```

#### Build Distribution
```bash
# Create binary distribution
mvn clean install -DskipTests
cd seatunnel-dist
tar -tzf target/apache-seatunnel-*-bin.tar.gz | head
```

### Running Tests

#### Unit Tests
```bash
# Run all tests
mvn test

# Run specific test class
mvn test -Dtest=MySqlConnectorTest

# Run with coverage
mvn test jacoco:report
```

#### Integration Tests
```bash
# Run integration tests
mvn verify

# Run with Docker containers
mvn verify -Pintegration-tests
```

### Development Setup

#### IDE Configuration (IntelliJ IDEA)

1. **Import Project**
   - File → Open → Select seatunnel directory
   - Choose Maven as build system

2. **Configure JDK**
   - Project Settings → Project → JDK
   - Select JDK 1.8 or higher

3. **Enable Annotation Processing**
   - Project Settings → Build → Compiler → Annotation Processors
   - Enable annotation processing

4. **Run Configuration**
   - Run → Edit Configurations
   - Add new "Application" configuration
   - Set main class: `org.apache.seatunnel.core.starter.command.CommandExecuteRunner`

#### Code Style

SeaTunnel follows Apache project conventions:
- 4-space indentation (not tabs)
- Line length max 120 characters
- Standard Java naming conventions
- Organize imports alphabetically

Use the provided `.editorconfig`:
```bash
# Install EditorConfig plugin (IntelliJ)
# Then your IDE will auto-format code
```

### Creating Custom Connectors

#### 1. Extend SeConnector Interface
```java
import org.apache.seatunnel.api.source.SeSource;
import org.apache.seatunnel.api.table.catalog.Table;

public class CustomSource extends SeSource {
    @Override
    public String getPluginName() {
        return "Custom";
    }

    @Override
    public void validate() {
        // Validation logic
    }

    @Override
    public ResultSet read(Boundedness boundedness) {
        // Implementation
    }
}
```

#### 2. Create Configuration Class
```java
import org.apache.seatunnel.api.configuration.Option;
import org.apache.seatunnel.api.configuration.Options;

public class CustomSourceOptions {
    public static final Option<String> HOST =
        Options.key("host")
            .stringType()
            .noDefaultValue()
            .withDescription("Source hostname");

    public static final Option<Integer> PORT =
        Options.key("port")
            .intType()
            .defaultValue(9200)
            .withDescription("Source port");
}
```

#### 3. Register Connector
```
META-INF/services/org.apache.seatunnel.api.source.SeSource
```

### Contributing Guide

1. **Fork and Clone**
   ```bash
   git clone https://github.com/YOUR_USERNAME/seatunnel.git
   cd seatunnel
   git remote add upstream https://github.com/apache/seatunnel.git
   ```

2. **Create Feature Branch**
   ```bash
   git checkout -b feature/my-feature
   ```

3. **Make Changes**
   - Follow code style guide
   - Add tests for new features
   - Update documentation

4. **Commit and Push**
   ```bash
   git add .
   git commit -m "feat: add new feature"
   git push origin feature/my-feature
   ```

5. **Create Pull Request**
   - Go to GitHub repository
   - Create PR with clear description
   - Link any related issues
   - Wait for review

6. **Code Review Process**
   - Address feedback from maintainers
   - Update PR with changes
   - After approval, maintainers will merge

---

## Troubleshooting

### Common Issues and Solutions

#### Issue 1: "ClassNotFoundException: com.mysql.jdbc.Driver"

**Cause**: JDBC driver JAR not in classpath

**Solution**:
```bash
# 1. Download MySQL JDBC driver
wget https://dev.mysql.com/get/Downloads/Connector-J/mysql-connector-java-8.0.33.jar

# 2. Copy to lib directory
cp mysql-connector-java-8.0.33.jar $SEATUNNEL_HOME/lib/

# 3. Restart job
seatunnel.sh -c config/job.conf -e spark
```

#### Issue 2: "OutOfMemoryError: Java heap space"

**Cause**: Insufficient JVM heap memory

**Solution**:
```bash
# Increase JVM memory
export JVM_OPTS="-Xms2G -Xmx8G"

# Or set in seatunnel-env.sh
echo 'JVM_OPTS="-Xms2G -Xmx8G"' >> $SEATUNNEL_HOME/bin/seatunnel-env.sh
```

#### Issue 3: "Connection refused: connect"

**Cause**: Source/sink service not reachable

**Solution**:
```bash
# 1. Verify connectivity
ping source-host
telnet source-host 3306

# 2. Check credentials
mysql -h source-host -u root -p

# 3. Check firewall rules
# Ensure port 3306 is open
```

#### Issue 4: "Table not found" during CDC

**Cause**: Binlog not enabled on MySQL

**Solution**:
```sql
-- Check binlog status
SHOW VARIABLES LIKE 'log_bin';

-- Enable binlog in my.cnf
[mysqld]
log_bin = mysql-bin
binlog_format = row  # Important for CDC

-- Restart MySQL and verify
SHOW MASTER STATUS;
```

#### Issue 5: Slow Job Performance

**Cause**: Suboptimal configuration

**Solutions**:
```hocon
# 1. Increase parallelism
env {
  parallelism = 8  # or higher based on cluster
}

# 2. Increase batch sizes
source {
  Jdbc {
    fetch_size = 5000
    split_size = 100000
  }
}

sink {
  Jdbc {
    batch_size = 2000
  }
}

# 3. Enable connection pooling
source {
  Jdbc {
    pool_size = 10
    max_idle_time = 300
  }
}
```

#### Issue 6: "Kafka topic offset out of range"

**Cause**: Offset doesn't exist in topic

**Solution**:
```hocon
source {
  Kafka {
    # Reset to earliest or latest
    auto.offset.reset = "earliest"  # or "latest"

    # Or specify explicit offsets
    start_mode = "earliest"
  }
}
```

### FAQ

**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 data sync and CDC

**Q: How do I handle schema changes during CDC?**

A: SeaTunnel automatically detects schema changes in CDC mode. Configure in source:
```hocon
source {
  Mysql {
    schema_change_mode = "auto"  # auto-detect and apply
  }
}
```

**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: Depends on:
- Hardware (CPU, RAM, Network)
- Source/sink database configuration
- Data size per record
- Network latency

Typical throughput: 100K - 1M records/second per executor

**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
  restart_strategy.exponential_delay.attempts_unlimited = true
}
```

**Q: Is there a web UI for job management?**

A: Yes! Use **SeaTunnel Web Project**:
```bash
# Check out web UI project
git clone https://github.com/apache/seatunnel-web.git
cd seatunnel-web
mvn clean install

# Run web UI
java -jar target/seatunnel-web-*.jar
# Access at http://localhost:8080
```

---

## Resources

### Official Links
- [SeaTunnel Official Website](https://seatunnel.apache.org/)
- [GitHub (Engine)](https://github.com/apache/seatunnel)
- [GitHub (Website)](https://github.com/apache/seatunnel-website)
- [GitHub (Web UI)](https://github.com/apache/seatunnel-web)
- [Documentation Hub](https://seatunnel.apache.org/docs/)
- [Connector List](https://seatunnel.apache.org/docs/2.3.12/connector-v2/overview)
- [Downloads](https://seatunnel.apache.org/download)

### Community
- [Slack Channel](https://the-asf.slack.com/archives/C01CB5186TL)
- [Mailing Lists](https://seatunnel.apache.org/community/mail-lists/)
- [Issue Tracker](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)
- [Apache Kafka](https://kafka.apache.org/)
- [Apache Flink](https://flink.apache.org/)
- [Apache Spark](https://spark.apache.org/)

### Learning Resources
- [HOCON Configuration Guide](https://github.com/lightbend/config/blob/main/HOCON.md)
- [SQL Functions Reference](https://seatunnel.apache.org/docs/2.3.12/transform-v2/sql)
- [CDC Pattern Explained](https://en.wikipedia.org/wiki/Change_data_capture)
- [Distributed Systems Concepts](https://en.wikipedia.org/wiki/Distributed_computing)

### Version History
- **2.3.12** (Latest Stable) - Current recommended version
- **2.3.13-SNAPSHOT** (Development)
- 20 historical versions maintained in documentation (1.x ~ 2.3.12)
- [All Releases](https://archive.apache.org/dist/seatunnel/)

---

## Additional Notes

### License
Apache License 2.0 - See [LICENSE](https://github.com/apache/seatunnel/blob/master/LICENSE) file

### Security
- Report security issues via [Apache Security](https://www.apache.org/security/)
- Do NOT create public issues for security vulnerabilities

### Support & Contribution
- Join the community Slack for support
- Submit feature requests on GitHub Issues
- Contribute code via Pull Requests
- Follow [Contributing Guide](https://github.com/apache/seatunnel/blob/master/CONTRIBUTING.md)

---

**Last Updated**: 2026-02-26
**Skill Version**: 2.3.13
**Sources**: apache/seatunnel + apache/seatunnel-website