- Recipes
- Google BigQuery to Google Storage CSV file
Connect Google BigQuery and Google Storage CSV file in our serverless environment
Use this template to Read rows from Google BigQuery table using them to create CSV file entries in Google Storage Bucket.
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Read rows from Google BigQuery table
Used integrations:
JavaScript
Python
class GoogleBigquerySourceSelect {
async init() {
// More info at https://www.npmjs.com/package/@google-cloud/bigquery
// TODO: Create team variables. More info at https://yepcode.io/docs/processes/team-variables
this.googleBigQuery = new BigQuery({
projectId: yepcode.env.GOOGLE_BIGQUERY_PROJECT_ID,
credentials: JSON.parse(yepcode.env.GOOGLE_BIGQUERY_SERVICE_ACCOUNT_JSON),
});
}
async fetch(publish, done) {
// TODO: Customize your query
const query = `SELECT *
FROM \`your_db.your_schema.your_table_name\`
LIMIT 10`;
// for all options, see https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs/query
const options = {
query: query,
// Location must match that of the dataset(s) referenced in the query.
location: "US",
};
// run the query as a job
const [job] = await this.googleBigQuery.createQueryJob(options);
console.log(`Job ${job.id} started.`);
// wait for the query to finish
const [rows] = await job.getQueryResults();
for (const row of rows) {
await publish(row);
}
done();
}
async close() {}
}
import json
from google.cloud import bigquery
from google.oauth2.service_account import Credentials
class GoogleBigquerySourceSelect:
def setup(self):
# More info at https://googleapis.dev/python/google-api-core/latest/auth.html
# TODO: Create team variables. More info at https://yepcode.io/docs/processes/team-variables
credentials_dict = json.loads(yepcode.env.GOOGLE_APPLICATION_CREDENTIALS)
self.big_query_client = bigquery.Client(
project=yepcode.env.GOOGLE_PROJECT_ID,
credentials=Credentials.from_service_account_info(credentials_dict)
)
def generator(self):
# TODO: Customize dataset and table ids and query content
dataset_id = "dataset_id"
table_id = "table_id"
query = (
f"SELECT * FROM `{self.big_query_client.project}.{dataset_id}.{table_id}`"
)
query_job = self.big_query_client.query(query)
rows = query_job.result()
for row in rows:
yield row
def close(self):
pass
Do you need help solving this integration with YepCode?
Let's talkCreate CSV file entries in Google Storage Bucket
Used integrations:
- JavaScript
- Python
class GoogleStorageTargetUploadCsv {
async init() {
// More info at https://www.npmjs.com/package/@google-cloud/storage
// TODO: Create team variables. More info at https://yepcode.io/docs/processes/team-variables
const googleStorage = new Storage({
projectId: yepcode.env.GOOGLE_STORAGE_PROJECT_ID,
credentials: JSON.parse(yepcode.env.GOOGLE_STORAGE_SERVICE_ACCOUNT_JSON),
});
// TODO: Customize your bucket name
const bucket = googleStorage.bucket(yepcode.env.GOOGLE_STORAGE_BUCKET_NAME);
// TODO: choose a destination file
const blob = bucket.file(`one-folder/my-filename-${Date.now()}.csv`);
this.ws = blob.createWriteStream({
metadata: {
contentType: "text/csv",
},
});
// Transform the items into a csv format
this.stringifier = csv.stringify({
delimiter: ",",
});
this.stringifier.pipe(this.ws);
}
async consume(item) {
// TODO: Customize csv row content with your item content
const csvRow = [item.id, item.name];
this.stringifier.write(csvRow);
}
async close() {
this.stringifier.end();
}
}
import csv
import io
import json
import google.cloud.storage
from google.oauth2.service_account import Credentials
class AccumulatingStream:
def __init__(self):
self.data = io.BytesIO()
def write(self, item):
self.data.write(item.encode("utf-8"))
def get_stream(self):
self.data.seek(0)
return self.data
class GoogleStorageTargetUploadCsv:
def setup(self):
# More info at https://pypi.org/project/google-cloud-storage
# TODO: Create team variables. More info at https://yepcode.io/docs/processes/team-variables
credentials_dict = json.loads(yepcode.env.GOOGLE_APPLICATION_CREDENTIALS)
self.storage_client = google.cloud.storage.Client(
project=yepcode.env.GOOGLE_PROJECT_ID,
credentials=Credentials.from_service_account_info(credentials_dict)
)
self.acc_stream = AccumulatingStream()
self.stringifier = csv.writer(self.acc_stream, delimiter=",")
def consume(self, generator, done):
for item in generator:
# TODO: customize the csv row to create from your item content
csv_row = [item["value"], item["text"]]
self.stringifier.writerow(csv_row)
done()
def close(self):
# TODO: customize the bucket name and object key
try:
bucket = self.storage_client.get_bucket("bucket_name")
blob = bucket.blob("object_key")
# Upload from a stream
blob.upload_from_file(self.acc_stream.get_stream())
except Exception as error:
print(f"Error uploading object: {error}")
CSVFAQs
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