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Connect Amazon S3 NDJSON file and Microsoft SQL Server in our serverless environment

Use this template to Read NDJSON file entries from Amazon S3 bucket using them to insert rows into Microsoft SQL Server table.

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Read NDJSON file entries from Amazon S3 bucket

Used integrations:
class AwsS3SourceReadRemoteNdjson {
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);

getObjectResult.body
.pipe(ndjson.parse())
.on("data", async (line) => {
await publish(line);
})
.on("end", done);
}

async close() {}
}

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Insert rows into Microsoft SQL Server table

Used integrations:
class MssqlTargetInsert {
async init() {
// TODO: Create your mssql credential
// More info at https://yepcode.io/docs/integrations/mssql/#credential-configuration
const mssqlConnectionPool = yepcode.integration.mssql(
"your-mssql-credential-name"
);
this.pool = await mssqlConnectionPool.connect();
}

async consume(item) {
// TODO: Customize input params and INSERT statement
await this.pool
.request()
.input("name", mssql.VarChar(50), item.name)
.input("price", mssql.Int, item.price)
.input("stock", mssql.Int, item.stock)
.query(
"INSERT INTO products(name, price, stock, created_at) VALUES(@name, @price, @stock, CURRENT_TIMESTAMP)"
);
}

async close() {
await this.pool.close();
}
}

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