If you need to use Apache SeaTunnel to synchronize data from MongoDB to Doris, you can follow these steps, which are based on the official documentation of Apache SeaTunnel and best practices provided by the community: I. Environment Preparation Download and Install SeaTunnel: Visit the official GitHub page of SeaTunnel and download the latest stable version.
Unzip the downloaded file and configure the necessary environment variables (e.g., JAVA_HOME).
Ensure that MongoDB and Doris databases are installed and running.
Obtain the connection information for MongoDB and Doris, including host addresses, ports, database names, usernames, and passwords. Visit the official GitHub page of SeaTunnel and download the latest stable version. Unzip the downloaded file and configure the necessary environment variables (e.g., JAVA_HOME). Ensure that MongoDB and Doris databases are installed and running. Obtain the connection information for MongoDB and Doris, including host addresses, ports, database names, usernames, and passwords. II. Writing SeaTunnel Configuration File Create a Configuration File: In the conf directory of SeaTunnel, create a new configuration file, for example, mongodb_to_doris.conf. In the conf directory of SeaTunnel, create a new configuration file, for example, mongodb_to_doris.conf. Configure MongoDB Source: In the configuration file, specify MongoDB as the data source (Source).
Configure MongoDB’s connection information, database name, collection name, and conditions for reading data. In the configuration file, specify MongoDB as the data source (Source). Configure MongoDB’s connection information, database name, collection name, and conditions for reading data. env {
  execution.parallelism = 1
  spark.app.name = "MongoDBToDoris"
  spark.sql.shuffle.partitions = 2
  spark.driver.memory = "1g"
  spark.executor.memory = "1g"
}
source {
  MongoDB {
    host = "your_mongodb_host"
    port = your_mongodb_port
    database = "your_database"
    collection = "your_collection"
    # Other MongoDB connection configurations...
  }
} env {
  execution.parallelism = 1
  spark.app.name = "MongoDBToDoris"
  spark.sql.shuffle.partitions = 2
  spark.driver.memory = "1g"
  spark.executor.memory = "1g"
}
source {
  MongoDB {
    host = "your_mongodb_host"
    port = your_mongodb_port
    database = "your_database"
    collection = "your_collection"
    # Other MongoDB connection configurations...
  }
} Configure Doris Sink: In the configuration file, specify Doris as the data destination (Sink).
Configure Doris’s connection information, database name, table name, and the format of the written data. In the configuration file, specify Doris as the data destination (Sink). Configure Doris’s connection information, database name, table name, and the format of the written data. sink {
  Doris {
    jdbc.url = "jdbc:mysql://your_doris_fe_host:your_doris_fe_port/your_database"
    jdbc.user = "your_doris_user"
    jdbc.password = "your_doris_password"
    table = ["your_table"]
    # Other Doris connection configurations...
    column = ["column1", "column2", ...] # Fill in according to the actual table structure
    write_mode = "replace" # Or "append", choose according to your needs
  }
} sink {
  Doris {
    jdbc.url = "jdbc:mysql://your_doris_fe_host:your_doris_fe_port/your_database"
    jdbc.user = "your_doris_user"
    jdbc.password = "your_doris_password"
    table = ["your_table"]
    # Other Doris connection configurations...
    column = ["column1", "column2", ...] # Fill in according to the actual table structure
    write_mode = "replace" # Or "append", choose according to your needs
  }
} III. Running SeaTunnel Task Submit the Configuration File: Use SeaTunnel’s command-line tool to submit the configuration file and start the data synchronization task. Use SeaTunnel’s command-line tool to submit the configuration file and start the data synchronization task. ./bin/start-seatunnel-spark.sh --config ./conf/mongodb_to_doris.conf ./bin/start-seatunnel-spark.sh --config ./conf/mongodb_to_doris.conf Monitor Task Execution: Monitor the task execution through SeaTunnel’s log output or Web UI (if enabled).
Ensure that the task can read data from MongoDB and write it to Doris normally. Monitor the task execution through SeaTunnel’s log output or Web UI (if enabled). Ensure that the task can read data from MongoDB and write it to Doris normally. IV. Notes Data Format Matching: Ensure that the data structure in MongoDB matches the table structure in Doris. If there are differences, you may need to perform field transformation or mapping in SeaTunnel’s configuration file. Ensure that the data structure in MongoDB matches the table structure in Doris. If there are differences, you may need to perform field transformation or mapping in SeaTunnel’s configuration file. Performance Tuning: Adjust SeaTunnel’s configuration parameters, such as parallelism and memory allocation, according to the data volume and synchronization requirements to improve data synchronization performance. Adjust SeaTunnel’s configuration parameters, such as parallelism and memory allocation, according to the data volume and synchronization requirements to improve data synchronization performance. Error Handling: Configure error handling mechanisms, such as retry policies and log recording, to deal with potential data synchronization errors. Configure error handling mechanisms, such as retry policies and log recording, to deal with potential data synchronization errors. By following these steps, you can use SeaTunnel to synchronize data from MongoDB to Doris. In actual operations, you may need to further configure and adjust according to the specific environment and requirements.

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Got Data in MongoDB? Here’s the Easiest Way to Move It to Doris

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