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Connect Dremio and Azure Blob CSV file in our serverless environment

Use this template to Read data from Dremio using them to create CSV file entries in Azure Blob Container.

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Read data from Dremio

Used integrations:
class HttpSourceDremioSelect {
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/cloud/reference/api/
this.httpClient = yepcode.integration.http("your-dremio-credential-name");
}

async fetch(publish, done) {
// TODO: Customize your select query
// Double-quotation marks within a SQL statement need to be escaped
const query = 'SELECT * FROM path_to_your_dataset."your_dataset_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 projectId = "<your-dremio-project-id>";
const {
data: job
} = this.httpClient.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.httpClient.get(
`${this.projectId}/job/${job.id}`
);
} while (!finalJobStates.includes(jobInfoResponse.data.jobState));

const {
data: jobInfo
} = jobInfoResponse;

// When the job is finished, if it's been completed, get the result from Job Results endpoint
// Official docs: https://docs.dremio.com/cloud/reference/api/job/job-results/
// Otherwise, show the job status
if (jobInfo.jobState === "COMPLETED") {
const {
data: result
} = await this.httpClient.get(
`${this.projectId}/job/${job.id}/results`
);
publish(result.rows);
} else if (jobInfo.jobState === "FAILED") {
publish(`Uups! Something was wrong: ${jobInfo.errorMessage}`);
} else {
publish(`The job's been cancelled: ${jobInfo.cancellationReason}`);
}

done();
}

async close() {}
}

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Create CSV file entries in Azure Blob Container

Used integrations:
class AzureBlobTargetUploadCsv {
async init() {
// TODO: Create your azure blob credential
// More info at https://yepcode.io/docs/integrations/azure-blob/#credential-configuration
this.azureBlob = yepcode.integration.azureBlob(
"your-azure-blob-credential-name"
);
// TODO: customize the container name and blob name to upload
// // More info at https://docs.microsoft.com/en-us/javascript/api/@azure/storage-blob/blobserviceclient?view=azure-node-latest#@azure-storage-blob-blobserviceclient-getcontainerclient
const containerClient = this.azureBlob.getContainerClient("container-name");
const blockBlobClient = containerClient.getBlockBlobClient("blob-name");

// Transforms the items into a csv format
this.stringifier = csv.stringify({
delimiter: ",",
});
this.upload = blockBlobClient.uploadStream(this.stringifier);
}

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.upload;
} catch (error) {
console.error(`Error ending upload`, error);
}
}
}

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