- Recipes
- Supabase CSV file to Google BigQuery
Connect Supabase CSV file and Google BigQuery in our serverless environment
Use this template to Read CSV file entries from Supabase bucket using them to insert rows into Google BigQuery table.
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Read CSV file entries from Supabase bucket
Used integrations:
- JavaScript
- Python
class SupabaseSourceReadRemoteCsv {
async init() {
// TODO: Create your supabase credential
// More info at https://yepcode.io/docs/integrations/supabase/#credential-configuration
this.supabase = yepcode.integration.supabase(
"your-supabase-credential-name"
);
}
async fetch(publish, done) {
// You may check the full API documentation at:
// https://supabase.com/docs/reference/javascript/storage-from-download
const {
data,
error
} = await this.supabase.storage
.from("your-bucket-name")
.download(`your-file-name.csv`);
if (error) {
throw error;
}
data
.stream()
.pipe(
csv.parse({
delimiter: ",",
columns: true,
})
)
.on("data", publish)
.on("end", done);
}
async close() {}
}
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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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