- Recipes
- REST API to Google BigQuery
Connect REST API and Google BigQuery in our serverless environment
Use this template to Read a JSON array from one REST API using them to insert rows into Google BigQuery table.
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Read a JSON array from one REST API
Used integrations:
- JavaScript
- Python
class HttpSourceRestJsonGet {
async init() {
// TODO: Create your http credential with endpoint information:
// More info at https://yepcode.io/docs/integrations/http/#credential-configuration
// It may manage headers or authentication
this.httpClient = yepcode.integration.http("your-http-credential-name");
}
async fetch(publish, done) {
// TODO: Customize the path to the API call
await this.httpClient
.get("/the-get-rest-api-path", {
params: {
// TODO: Provide optional HTTP parameters
},
})
.then(async ({
data
}) => {
// Publish each JSON object in array
for (const item of data) {
await publish(item);
}
});
done();
}
async close() {}
}
class HttpSourceRestJsonGet:
def setup(self):
# TODO: Create your http credential with endpoint information:
# More info at https://yepcode.io/docs/integrations/http/#credential-configuration
# It may manage headers or authentication
self.session = yepcode.integration.http("your-http-get-credential-name")
def generator(self):
# TODO: Customize the path to the API call as well as http parameters
response = self.session.get("/the-get-rest-api-path", params={})
response.raise_for_status()
# Publish each JSON object in array
for item in response.json():
yield item
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() {
// TODO: Create your google-bigquery credential
// More info at https://yepcode.io/docs/integrations/google-bigquery/#credential-configuration
const googleBigQuery = yepcode.integration.googleBigQuery(
"your-google-bigquery-credential-name"
);
// TODO: Customize dataset and table names
// See how to get dataset name: https://cloud.google.com/bigquery/docs/dataset-metadata#console
this.table = await 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() {}
}
class GoogleBigqueryTargetInsert:
def setup(self):
# TODO: Create your BigQuery credential:
# More info at https://yepcode.io/docs/integrations/google-bigquery/#credential-configuration
self.big_query_client = yepcode.integration.googleBigQuery(
"your-bigquery-credential-name"
)
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
FAQs
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We like to call it the Zapier for developers, since we bring all the agility and benefits of NoCode tools (avoid server provisioning, environment configuration, deployments,...), but with all the power of being able to use a programming language like JavaScript or Python.
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