Quick start
Let's take an application that receives data through a
socket
, divides the data into multiple fields, and outputs the processing results as an example to quickly show how to useseatunnel
.
Step 1: Prepare Spark runtime environmentâ
If you are familiar with Spark or have prepared the Spark operating environment, you can ignore this step. Spark does not require any special configuration.
Please download Spark first, please choose Spark version >= 2.x.x
. After downloading and decompressing, you can submit the Spark deploy-mode = local
mode task without any configuration. If you expect tasks to run on Standalone clusters
or Yarn clusters
or Mesos clusters
, please refer to the Spark deployment documentation on the Spark official website.
Step 2: Download seatunnelâ
Enter the seatunnel installation package download page and download the latest version of seatunnel-<version>.zip
Or download the specified version directly (take 2.0.4
as an example):
wget https://github.com/apache/incubator-seatunnel/releases/download/v2.0.4/waterdrop-dist-2.0.4-2.11.8-release.zip -O seatunnel-2.0.4.zip
After downloading, unzip:
unzip seatunnel-<version>.zip
ln -s seatunnel-<version> seatunnel
Step 3: Configure seatunnelâ
Edit
config/seatunnel-env.sh
, specify the necessary environment configuration such asSPARK_HOME
(the directory after Spark downloaded and decompressed in Step 1)Create a new
config/application.conf
, which determines the method and logic of data input, processing, and output afterseatunnel
is started.
env {
# seatunnel defined streaming batch duration in seconds
spark.streaming.batchDuration = 5
spark.app.name = "seatunnel"
spark.ui.port = 13000
}
source {
socketStream {}
}
transform {
split {
fields = ["msg", "name"]
delimiter = ","
}
}
sink {
console {}
}
Step 4: Start the netcat server
to send dataâ
nc -lk 9999
Step 5: start seatunnelâ
cd seatunnel
./bin/start-seatunnel-spark.sh \
--master local[4] \
--deploy-mode client \
--config ./config/application.conf
Step 6: Input at the nc
terminalâ
Hello World, seatunnel
The seatunnel
log prints out:
+----------------------+-----------+---------+
|raw_message |msg |name |
+----------------------+-----------+---------+
|Hello World, seatunnel|Hello World|seatunnel|
+----------------------+-----------+---------+
summaryâ
seatunnel
is simple and easy to use, and there are more abundant data processing functions waiting to be discovered. The data processing case shown in this article does not require any code, compilation, and packaging, and is simpler than the official Quick Example.
If you want to know more seatunnel configuration examples
, please refer to:
- Configuration example 2: Batch offline batch processing
The above configuration is the default [offline batch configuration template], which can be run directly, the command is as follows:
cd seatunnel
./bin/start-seatunnel-spark.sh \
--master 'local[2]' \
--deploy-mode client \
--config ./config/spark.batch.conf.template