BigQuery no JupyterLab na Vertex AI 2.5 avaliações

yes I satisfied for good

Saikat M. · Revisado há over 3 years

yes I satisfied for good

Saikat M. · Revisado há over 3 years

Enmanuel P. · Revisado há over 3 years

Matheus V. · Revisado há over 3 years

Valentina A. · Revisado há over 3 years

Sonali D. · Revisado há over 3 years

ImportError Traceback (most recent call last) /opt/conda/lib/python3.7/site-packages/google/cloud/bigquery/magics/magics.py in _make_bqstorage_client(client, use_bqstorage_api, client_options) 709 try: --> 710 from google.cloud import bigquery_storage # noqa: F401 711 except ImportError as err: ImportError: cannot import name 'bigquery_storage' from 'google.cloud' (unknown location) The above exception was the direct cause of the following exception: ImportError Traceback (most recent call last) /tmp/ipykernel_4082/1327333500.py in <module> ----> 1 get_ipython().run_cell_magic('bigquery', 'df', 'SELECT\n depdelay as departure_delay,\n COUNT(1) AS num_flights,\n APPROX_QUANTILES(arrdelay, 10) AS arrival_delay_deciles\nFROM\n `cloud-training-demos.airline_ontime_data.flights`\nWHERE\n depdelay is not null\nGROUP BY\n depdelay\nHAVING\n num_flights > 100\nORDER BY\n depdelay ASC\n') /opt/conda/lib/python3.7/site-packages/IPython/core/interactiveshell.py in run_cell_magic(self, magic_name, line, cell) 2471 with self.builtin_trap: 2472 args = (magic_arg_s, cell) -> 2473 result = fn(*args, **kwargs) 2474 return result 2475 /opt/conda/lib/python3.7/site-packages/google/cloud/bigquery/magics/magics.py in _cell_magic(line, query) 579 580 bqstorage_client = _make_bqstorage_client( --> 581 client, use_bqstorage_api, bqstorage_client_options, 582 ) 583 The default BigQuery Storage API client cannot be used,

Evelina A. · Revisado há over 3 years

Jay K. · Revisado há over 3 years

Leela Siva Narayana N. · Revisado há over 3 years

Navnath N. · Revisado há over 3 years

madanlal k. · Revisado há over 3 years

C H. · Revisado há over 3 years

Gaurav A. · Revisado há over 3 years

Jerik G. · Revisado há over 3 years

One of the more important and useful labs - but it needed more about collaboration, saving, shutting down etc.

Cassandra T. · Revisado há over 3 years

Dejan S. · Revisado há over 3 years

Caio C. · Revisado há over 3 years

Sashikumar K. · Revisado há over 3 years

Hernán P. · Revisado há over 3 years

Himaja K. · Revisado há over 3 years

Jagadeesh T. · Revisado há over 3 years

Caio C. · Revisado há over 3 years

Task 2.3. throws error because google-cloud-bigquery-storage & pyarrow are not installed

Hai D. · Revisado há over 3 years

Dhanapal G. · Revisado há over 3 years

Dhanapal G. · Revisado há over 3 years