- Recipes
- Amazon S3 CSV file to Dremio
Connect Amazon S3 CSV file and Dremio in our serverless environment
Use this template to Read CSV file entries from Amazon S3 bucket using them to insert data in Dremio.
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Read CSV file entries from Amazon S3 bucket
Used integrations:
JavaScript
Python
class AwsS3SourceReadRemoteCsv {
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");
}
async fetch(publish, done) {
// TODO: Customize the command to be executed
// More info at: https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/clients/client-s3/interfaces/getobjectcommandinput.html
const getObjectCommand = new GetObjectCommand({
Bucket: "your-bucket-name",
Key: "your-file-name",
});
const getObjectResult = await this.awsS3.send(getObjectCommand);
// Result.Body is a stream of object content
getObjectResult.Body.pipe(
csv.parse({
delimiter: ",",
columns: true,
})
)
.on("data", publish)
.on("end", done);
}
async close() {}
}
import csv
import io
class AwsS3SourceReadRemoteCsv:
def setup(self):
# TODO: Create your S3 credential:
# More info at https://yepcode.io/docs/integrations/aws-s3/#credential-configuration
self.aws_s3_client = yepcode.integration.awsS3("your-s3-credential-name")
# TODO: If your csv does no have headers, you can define them here as a list:
# self.fieldnames = ["column1", "column2", "column3"]
self.fieldnames = None
def generator(self):
# TODO: Customize your bucket name and object key
# See all supported params in: https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/s3/client/get_object.html
response = self.aws_s3_client.get_object(
Bucket="your-bucket-name",
Key="your-file-name",
)
bytes_stream = response["Body"]
csv_file_stream = io.TextIOWrapper(bytes_stream, encoding="utf-8")
reader = csv.DictReader(
csv_file_stream, delimiter=",", fieldnames=self.fieldnames
)
for row in reader:
yield row
def close(self):
pass
Do you need help solving this integration with YepCode?
Let's talkInsert data in Dremio
Used integrations:
JavaScript
Python
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() {}
}
class HttpTargetDremioInsert:
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.dremio = yepcode.integration.http(
"your-dremio-credential-name"
)
def consume(self, item, done):
## TODO: Customize your select query
query = f'INSERT INTO your_source_path.table_name VALUES ({item.id}, {item.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.dremio.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.dremio.get(f"{project_id}/job/{job_id}")
job_state = job_info_response.json()['jobState']
if job_state == 'COMPLETED':
print("The query has been completed")
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']}"
done()
def close(self):
pass
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