How to Create a Socket Data Synchronization Job in SeaTunnel
This article offers a guide for using the Apache SeaTunnel Socket Connector. It is designed to help users quickly understand and efficiently utilize the Socket Connector to enable high-performance and stable network communication in their applications.
Socket is the middleware abstraction layer between the application layer and the TCP/IP protocol suite. It is the foundation for network programming, allowing applications to send and receive data over a network. Whether you are building real-time chat applications, or data collection systems, or need to enable communication between devices, the Socket Connector can provide strong support for your needs.
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Spark
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Key features
- batch
- stream
Description
Used to read data from Socket.
Data Type Mapping
The File does not have a specific type list, and we can indicate which SeaTunnel data type the corresponding data needs to be converted to by specifying the Schema in the config.
Options
How to Create a Socket Data Synchronization Jobs
- Configuring the SeaTunnel config file
The following example demonstrates how to create a data synchronization job that reads data from Socket and prints it on the local client:
# Set the basic configuration of the task to be performed
env {
execution.parallelism = 1
job.mode = "BATCH"
}
# Create a source to connect to socket
source {
Socket {
host = "localhost"
port = 9999
}
}# Console printing of the read socket data
sink {
Console {
parallelism = 1
}
}
- Start a port listening
nc -l 9999
- Start a SeaTunnel task
- Socket Source send test data
~ nc -l 9999
test
hello
flink
spark
- Console Sink print data
[test]
[hello]
[flink]
[spark]
About Apache SeaTunnel
Apache SeaTunnel is an easy-to-use, ultra-high-performance distributed data integration platform that supports real-time synchronization of massive amounts of data and can synchronize hundreds of billions of data per day stably and efficiently.
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Why do we need Apache SeaTunnel?
Apache SeaTunnel does everything it can to solve the problems you may encounter in synchronizing massive amounts of data.
- Data loss and duplication
- Task buildup and latency
- Low throughput
- Long application-to-production cycle time
- Lack of application status monitoring
Apache SeaTunnel Usage Scenarios
- Massive data synchronization
- Massive data integration
- ETL of large volumes of data
- Massive data aggregation
- Multi-source data processing
Features of Apache SeaTunnel
- Rich components
- High scalability
- Easy to use
- Mature and stable
How to get started with Apache SeaTunnel quickly?
Want to experience Apache SeaTunnel quickly? SeaTunnel 2.1.0 takes 10 seconds to get you up and running.
https://seatunnel.apache.org/docs/2.1.0/developement/setup
How can I contribute?
We invite all partners who are interested in making local open-source global to join the Apache SeaTunnel contributors family and foster open-source together!
Submit an issue:
https://github.com/apache/seatunnel/issues
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