Python - How to - Big Query asynchronous tasks

Question

This may be a dummy question but I cannot seem to be able to run python google-clood-bigquery asynchronously.

My goal is to run multiple queries concurrently and wait fo

Answer 1

If you are working inside of a coroutine and want to run different queries without blocking the event_loop then you can use the run_in_executor function which basically runs your queries in background threads without blocking the loop. Here's a good example of how to use that.

Make sure though that that's exactly what you need; jobs created to run queries in the Python API are already asynchronous and they only block when you call job.result(). This means that you don't need to use asyncio unless you are inside of a coroutine.

Here's a quick possible example of retrieving results as soon as the jobs are finished:

from concurrent.futures import ThreadPoolExecutor, as_completed
import google.cloud.bigquery as bq


client = bq.Client.from_service_account_json('path/to/key.json')
query1 = 'SELECT 1'
query2 = 'SELECT 2'

threads = []
results = []

executor = ThreadPoolExecutor(5)

for job in [client.query(query1), client.query(query2)]:
    threads.append(executor.submit(job.result))

# Here you can run any code you like. The interpreter is free

for future in as_completed(threads):
    results.append(list(future.result()))

results will be:

[[Row((2,), {'f0_': 0})], [Row((1,), {'f0_': 0})]]