npm install --save yildiz-kafka-connect
Currently not supported!
const { runSinkConnector } = require("yildiz-kafka-connect");
runSinkConnector(config, [], onError).then(config => {
//runs forever until: config.stop();
});
const { runSinkConnector, ConverterFactory } = require("yildiz-kafka-connect");
const etlFunc = (messageValue, callback) => {
return callback(null, {
id: messageValue.payload.id,
name: messageValue.payload.name,
info: messageValue.payload.info
});
};
const converter = ConverterFactory.createSinkSchemaConverter({}, etlFunc);
runSinkConnector(config, [converter], onError).then(config => {
//runs forever until: config.stop();
});
/*
this example would be able to store kafka message values
that look like this (so completely unrelated to messages created by a default SourceTask)
{
payload: {
id: 1,
name: "first item",
info: "some info"
},
type: "publish"
}
*/
note: in BETA 🌱
npm install -g yildiz-kafka-connect
# run source etl: yildiz -> kafka
nkc-yildiz-source --help
# run sink etl: kafka -> yildiz
nkc-yildiz-sink --help
const config = {
kafka: {
zkConStr: "localhost:2181/",
logger: null,
groupId: "kc-yildiz-test",
clientName: "kc-yildiz-test-name",
workerPerPartition: 1,
options: {
sessionTimeout: 8000,
protocol: ["roundrobin"],
fromOffset: "earliest", //latest
fetchMaxBytes: 1024 * 100,
fetchMinBytes: 1,
fetchMaxWaitMs: 10,
heartbeatInterval: 250,
retryMinTimeout: 250,
requireAcks: 1,
//ackTimeoutMs: 100,
//partitionerType: 3
}
},
topic: "yildiz-test-topic",
partitions: 1,
maxTasks: 1,
pollInterval: 2000,
produceKeyed: true,
produceCompressionType: 0,
connector: {
batchSize: 500,
maxPollCount: 500,
prefix: "ykc",
proto: "http",
host: "localhost",
port: 3058
},
http: {
port: 3149,
middlewares: []
},
enableMetrics: true
};