- Recipes
- Firebase Realtime Database to Google BigQuery
Connect Firebase Realtime Database and Google BigQuery in our serverless environment
Use this template to Read items from Firebase Realtime Database using them to insert rows into Google BigQuery table.
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Read items from Firebase Realtime Database
Used integrations:
JavaScript
Python
class FirebaseSourceGetFromRealtimeDb {
async init() {
// TODO: Create your firebase credential
// More info at https://yepcode.io/docs/integrations/firebase/#credential-configuration
this.firebase = yepcode.integration.firebase(
"your-firebase-credential-name"
);
this.db = getDatabase(this.firebase);
this.dbRef = ref(this.db);
}
async fetch(publish, done) {
// TODO: Customize the path to the firebase object
const snapshot = await get(child(this.dbRef, "/path-to-the-objects"));
if (snapshot.exists()) {
for (const item of Object.values(snapshot.val())) {
await publish(item);
}
}
done();
}
async close() {
deleteApp(this.firebase);
}
}
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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
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