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Connect Amazon S3 CSV file and Clickhouse in our serverless environment

Use this template to Read CSV file entries from Amazon S3 bucket using them to insert rows into Clickhouse table.

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Read CSV file entries from Amazon S3 bucket

Used integrations:
class AwsS3SourceReadRemoteCsv {
async init() {
// TODO: Create your aws-s3 credential
// More info at https://yepcode.io/docs/integrations/aws-s3/#credential-configuration
this.awsS3 = yepcode.integration.awsS3("your-aws-s3-credential-name");
}

async fetch(publish, done) {
// TODO: Customize the command to be executed
// More info at: https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/clients/client-s3/interfaces/getobjectcommandinput.html
const getObjectCommand = new GetObjectCommand({
Bucket: "your-bucket-name",
Key: "your-file-name",
});

const getObjectResult = await this.awsS3.send(getObjectCommand);

// Result.Body is a stream of object content
getObjectResult.Body.pipe(
csv.parse({
delimiter: ",",
columns: true,
})
)
.on("data", publish)
.on("end", done);
}

async close() {}
}

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Insert rows into Clickhouse table

Used integrations:
class ClickhouseTargetInsert {
async init() {
// TODO: Create your clickhouse credential
// More info at https://yepcode.io/docs/integrations/clickhouse/#credential-configuration
this.clickhouse = yepcode.integration.clickhouse(
"your-clickhouse-credential-name"
);
// TODO: customize your sql query
// This opens insert stream for your table
this.stream = new Stream.Readable({
objectMode: true
});
this.ws = client.insert({
table: "your_table_name",
values: stream,
format: "JSONCompactEachRow",
});
}

async consume(item) {
// TODO: Map your item to row
this.stream.push(item);
}

async close() {
// wait stream to finish
this.stream.push(null);
await this.ws;
await this.clickhouse.close();
}
}

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