- Recipes
- Remote NDJSON file to Google BigQuery
Connect Remote NDJSON file and Google BigQuery in our serverless environment
Use this template to Read NDJSON entries from a remote file using them to insert rows into Google BigQuery table.
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Read NDJSON entries from a remote file
Used integrations:
JavaScript
Python
class HttpSourceReadRemoteNdjson {
async init() {
// More info at https://www.npmjs.com/package/axios
// TODO: Create team variables. More info at https://yepcode.io/docs/processes/team-variables
// It may manage headers or authentication
this.httpClient = axios.create({
baseURL: yepcode.env.ENDPOINT_URL,
});
}
async fetch(publish, done) {
// TODO: Customize your ndjson file path to download
await this.httpClient
.get("/the-ndjson-file-path.ndjson", {
responseType: "stream",
})
.then(({
data
}) => {
data
.pipe(ndjson.parse())
.on("data", async (line) => {
await publish(line);
})
.on("end", done);
});
}
async close() {}
}
import ndjson
import requests
from urllib.parse import urljoin
class HttpSourceReadRemoteNdjson:
def setup(self):
# More info at https://pypi.org/project/requests/
# TODO: Create team variables. More info at https://yepcode.io/docs/processes/team-variables
# It may manage headers or authentication
self.base_url = "https://<your-endpoint-url>"
self.session = requests.Session()
self.session.headers.update({
'Accept': 'application/json',
'Content-Type': 'application/json',
'Authorization': f'Bearer {yepcode.env.YOUR_API_KEY}'
})
def generator(self):
response = self.session.get(urljoin(self.base_url, "/the-ndjson-file-path.ndjson"), stream=True)
response.raise_for_status()
lines = response.iter_lines(decode_unicode=True)
reader = ndjson.reader(lines)
for row in reader:
yield row
lines.close()
response.close()
def close(self):
pass
Do you need help solving this integration with YepCode?
Let's talkInsert rows into Google BigQuery table
Used integrations:
- JavaScript
- Python
class GoogleBigqueryTargetInsert {
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),
});
// TODO: Customize dataset and table names
// See how to get dataset name: https://cloud.google.com/bigquery/docs/dataset-metadata#console
this.table = await this.googleBigQuery
.dataset("your-dataset")
.table("your-table");
}
async consume(item) {
// TODO: Map item to your bigquery table row
await this.table.insert([item]);
}
async close() {}
}
import json
from google.cloud import bigquery
from google.oauth2.service_account import Credentials
class GoogleBigqueryTargetInsert:
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 consume(self, generator, done):
# TODO: Customize dataset and table ids
dataset_id = "dataset_id"
table_id = "table_id"
table_ref = self.big_query_client.dataset(dataset_id).table(table_id)
table = self.big_query_client.get_table(table_ref)
# TODO: Customize the row to insert
for item in generator:
item_to_insert = (item.get("name"), item.get("age"))
self.big_query_client.insert_rows(table, [item_to_insert])
done()
def close(self):
pass
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