>>> Hi there, I'm Tristan
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A lightweight tool to fetch tables from BigQuery as pandas DataFrame very fast using BigQuery Storage API combined with multiprocessing
License: MIT License
Hi Team,
I'm trying to use bqfetch library to fetch bigquery table.
I would like to know whether what file are you referring to . can you elaborate more about and where can I JSON file in my project.
since I dont see enough info in github repo, raising this request.
fetcher = BigQueryFetcher('/path/to/service_account.json', table)
Thanks in advance.
Regards
Nirmal NK
Hi everyone !
I'm trying to read a big table from BigQuery using python in google colab and I found bqfetch, however, when I try to import BigQueryFetcher and BigQueryTable I get an error.
I installed it by doing:
!pip install bqfetch
!pip install -r requirements.txt
But when running the second command, I get this error:
ERROR: Could not open requirements file: [Errno 2] No such file or directory: 'requirements.txt'
Then, my code is this:
from bqfetch import BigQueryFetcher, BigQueryTable
table = BigQueryTable("PROJECT", "DATASET", "TABLE")
fetcher = BigQueryFetcher('/path/to/bq_service_account.json', table)
chunks = fetcher.chunks('id', by_chunk_size_in_GB=2)
for chunk in chunks:
df = fetcher.fetch(chunk, nb_cores=1, verbose=True)
Am I doing something wrong ? Because this is what I get:
Some help would be appreciated! Because I cannot run anything so I can't get the table I need in order to have as a dataframe in python :(
Thank you in advance!
Marina
Hi @TristanBilot, first of all thanks for creating this library - seems to be very promising!
I was exploring using it in one of my projects and realized that it would be great if it supported fetching data only from specific partition(s) as opposed to the whole table.
Do you have any plans on adding that feature?
Hello,
Thank you for a such useful library!
I am trying to fetch the table as it mentioned on the column that contains distinct values, but anyway getting an error:
InvalidChunkRangeException: Difference of range between elements of column datetime_tzutc is too high: more than 25.0% of elements are too far from the mean.
Could you, please, give me advices how should I handle this case?
Thank you in advance!
Best,
Veniamin
Hello,
thank you very much for the library, I agree it seems to be very promising!
Is it possible to add the project id as a parameter of the BigQueryClient?
Sometimes the project where the service account was created and the project of the dataset to be accessed may be different, for example in my case it fails due to the lack of the correct roles/permissions in the service account project, so the following piece of code of bqfetch.py fails:
bq_client = bigquery.Client(
credentials=credentials,
project=credentials.project_id
)
while using directly bigquery.Client():
bigquery.Client(credentials=credentials, project=bq_project_id)
works correctly.
Thank you,
Steven
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