- Recipes
- Dremio to Azure Blob CSV file
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:
- JavaScript
- Python
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() {}
}
class HttpSourceDremioSelect:
def setup(self):
## 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/
self.session = yepcode.integration.http(
"your-dremio-credential-name"
)
def generator(self):
## TODO: Customize your select query
## Double-quotation marks withing a SQL statement need to be escaped
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 ssociated with the SQL query
## Official docs: https://docs.dremio.com/cloud/reference/api/sql
project_id = "<your-dremio-project-id>"
query_response = self.session.post(
f"{project_id}/sql",
json={"sql" : query}
)
job_id = query_response.json()['id']
## 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/
job_state = 'INIT'
job_info_response = None
FINAL_JOB_STATES = ['COMPLETED', 'FAILED', 'CANCELED']
while job_state not in FINAL_JOB_STATES:
job_info_response = self.session.get(f"{project_id}/job/{job_id}")
job_state = job_info_response.json()['jobState']
## 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 job_state == 'COMPLETED':
job_result_response = self.session.get(f"{project_id}/job/{job_id}/results")
rows = job_result_response.json()['rows']
for row in rows:
yield row
elif job_state == 'FAILED':
yield f"Uups! Something was wrong: {job_info_response.json()['errorMessage']}"
else:
yield f"The job's been cancelled: {job_info_response.json()['cancellationReason']}"
def close(self):
pass
Do you need help solving this integration with YepCode?
Let's talkCreate CSV file entries in Azure Blob Container
Used integrations:
- JavaScript
- Python
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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