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Connect AWS Redshift and Dremio in our serverless environment

Use this template to Read rows from AWS Redshift table using them to insert data in Dremio.

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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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Insert data in Dremio

Used integrations:
class HttpTargetDremioInsert {
async init() {
// TODO: Create your http credential with dremio information:
// More info at https://yepcode.io/docs/integrations/http/#credential-configuration
// Official docs: https://docs.dremio.com/current/reference/api/
this.dremio = await yepcode.integration.http(
"your-dremio-credential-name"
);
}
async consume(item) {
const projectId = "<your-dremio-project-id>";
// TODO: Map your item to row and customize INSERT statement
// More info at https://docs.dremio.com/cloud/reference/sql/commands/insert/
const query = `INSERT INTO your_source_path.your_table VALUES (${item.id}, ${item.name})`;

// Use the SQL API to submit queries. The response contains the ID for the job associated with the SQL query
// Official docs: https://docs.dremio.com/cloud/reference/api/sql
const {
data: job
} = await this.dremio.post(`${projectId}/sql`, {
sql: query,
});

// Use the Job API to check the job status. Jobs final status are COMPLETED, FAILED and CANCELED
// Official docs: https://docs.dremio.com/cloud/reference/api/job/
const finalJobStates = ["COMPLETED", "FAILED", "CANCELED"];
let jobInfoResponse = null;
do {
jobInfoResponse = await this.dremio.get(
`${this.projectId}/job/${job.id}`
);
} while (!finalJobStates.includes(jobInfoResponse.data.jobState));

const {
data: jobInfo
} = jobInfoResponse;

if (jobInfo.jobState === "COMPLETED") {
console.log("Success!!");
} else if (jobInfo.jobState === "FAILED") {
console.log(`Uups! Something was wrong: ${jobInfo.errorMessage}`);
} else {
console.log(
`The job's been cancelled: ${jobInfo.cancellationReason}`
);
}
}

async close() {}
}

Other combinations

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