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Connect AWS Redshift and Amazon S3 CSV file in our serverless environment

Use this template to Read rows from AWS Redshift table using them to create CSV file entries in Amazon S3 Bucket.

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Read rows from AWS Redshift table

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

// TODO: Customize the command to be executed
// More info at https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/clients/client-redshift-data/interfaces/executestatementcommandinput.html
const {
Id
} = await this.awsRedshift.send(
new ExecuteStatementCommand({
ClusterIdentifier: "your-cluster-identifier",
Database: "your-database-name",
DbUser: "your-database-user",
Sql: "SELECT * FROM your-table-name;",
})
);
this.statementId = Id;
await this._awaitStatementToFinish();
}

async fetch(publish, done) {
let nextToken;
// if result is returned paginated, iterate to publish entire statement result
do {
const result = await this.awsRedshift.send(
new GetStatementResultCommand({
Id: this.statementId,
NextToken: nextToken,
})
);
nextToken = result.NextToken;
for (const record of result.Records) {
// Each record come as a list of record cells
// More info at https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/clients/client-redshift-data/interfaces/getstatementresultcommandoutput.html

// TODO: Customize record columns mapping to the item that will be published
const item = {
id: record.id,
...record
};

await publish(item);
}
} while (nextToken);
done();
}

async close() {}

_awaitStatementToFinish() {
return new Promise((resolve, reject) => {
const describeStatementCommand = new DescribeStatementCommand({
Id: this.statementId,
});

// Configure interval to check statement status
const intervalId = setInterval(async () => {
const result = await this.awsRedshift.send(describeStatementCommand);
if (result.Status === "FINISHED") {
clearInterval(intervalId);
resolve();
return;
}

if (result.Status === "FAILED" || result.Status === "ABORTED") {
clearInterval(intervalId);
reject();
return;
}
}, 1000);
});
}
}

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Create CSV file entries in Amazon S3 Bucket

Used integrations:
class AwsS3TargetUploadCsv {
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");
// Transforms the items into a csv format
this.stringifier = csv.stringify({
delimiter: ",",
});
this.targetStream = new PassThrough();
this.stringifier.pipe(this.targetStream);
// TODO: customize the Upload content
// More info at: https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/interfaces/_aws_sdk_lib_storage.options-1.html
this.upload = new Upload({
client: this.awsS3,
params: {
Bucket: "your-bucket-name",
Key: "your-file-name.csv",
Body: this.targetStream,
},
});
this.upload.on("httpUploadProgress", (progress) => {
console.log(`Upload progress`, progress);
});
this.uploadPromise = this.upload.done();
}

async consume(item) {
// TODO: customize the csv row to create from your item content
const csvRow = [item.value, item.text];
this.stringifier.write(csvRow);
}

async close() {
try {
this.stringifier.end();
} catch (error) {
console.error(`Error ending stringifier`, error);
}
try {
await this.uploadPromise;
} catch (error) {
console.error(`Error ending upload`, error);
}
}
}

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