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seatunnel基于flink快速入门

第一步：安装seatunnel和插件

第二步：部署和配置flink

下载

https://flink.apache.org/downloads/，这里选择flink-1.17.2-bin-scala_2.12.tgz

解压

$ tar -xzf flink-*.tgz

浏览目录

cd flink-* && ls -l

启动flink

$ ./bin/start-cluster.sh

flink dashboard

第三步：添加job定义文件

编辑config/v2.streaming.conf.template,

env {
 execution.parallelism = 1
 job.mode = "BATCH"
}

source {
 FakeSource {
 result_table_name = "fake"
 row.num = 16
 schema = {
 fields {
 name = "string"
 age = "int"
 }
 }
 }
}

transform {
 FieldMapper {
 source_table_name = "fake"
 result_table_name = "fake1"
 field_mapper = {
 age = age
 name = new_name
 }
 }
}

sink {
 Console {
 source_table_name = "fake1"
 }
}

运行job（flink 版本在 1.15.x 以上的）

cd "apache-seatunnel-${version}"
./bin/start-seatunnel-flink-15-connector-v2.sh --config ./config/v2.streaming.conf.template

控制台输出

fields : name, age
types : STRING, INT
row=1 : elWaB, 1984352560
row=2 : uAtnp, 762961563
row=3 : TQEIB, 2042675010
row=4 : DcFjo, 593971283
row=5 : SenEb, 2099913608
row=6 : DHjkg, 1928005856
row=7 : eScCM, 526029657
row=8 : sgOeE, 600878991
row=9 : gwdvw, 1951126920
row=10 : nSiKE, 488708928
row=11 : xubpl, 1420202810
row=12 : rHZqb, 331185742
row=13 : rciGD, 1112878259
row=14 : qLhdI, 1457046294
row=15 : ZTkRx, 1240668386
row=16 : SGZCr, 94186144

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