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Connect FTP CSV file and Dremio in our serverless environment

Use this template to Read CSV file entries from FTP server using them to insert data in Dremio.


Read CSV file entries from FTP server

Used integrations:
class SftpSourceReadRemoteCsv {
async init() {
// TODO: Create your sftp credential
// More info at
this.sftp = await yepcode.integration.sftp("your-sftp-credential-name");

async fetch(publish, done) {
const stream = new PassThrough();

delimiter: ",",
columns: true,
.on("data", publish)
.on("end", done);

// TODO: Customize the csv file location
await this.sftp.get("/remoteDirPath/fileName.csv", stream);

async close() {
await this.sftp.end();

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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
// Official docs:
this.httpClient = 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
const query = `INSERT INTO your_source_path.your_table VALUES (${}, ${})`;

// Use the SQL API to submit queries. The response contains the ID for the job associated with the SQL query
// Official docs:
const {
data: job
} = await`${projectId}/sql`, {
sql: query,

// Use the Job API to check the job status. Jobs final status are COMPLETED, FAILED and CANCELED
// Official docs:
const finalJobStates = ["COMPLETED", "FAILED", "CANCELED"];
let jobInfoResponse = null;
do {
jobInfoResponse = await this.httpClient.get(
} while (!finalJobStates.includes(;

const {
data: jobInfo
} = jobInfoResponse;

if (jobInfo.jobState === "COMPLETED") {
} 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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