Bobcares

ModuleNotFoundError no module named ‘google.cloud.bigquery’

by | Apr 14, 2024

Learn how to fix “modulenotfounderror no module named ‘google.cloud.bigquery’” error. Our Google Cloud Support team is here to help you with your questions and concerns.

ModuleNotFoundError no module named ‘google.cloud.bigquery’

Have you been having trouble with the “ModuleNotFoundError” in Python?

modulenotfounderror no module named 'google.cloud.bigquery'

This error lets us know that Python cannot find the module for interacting with Google Cloud BigQuery.

Let’s take a look at the causes and solutions to resolve this issue.

The ‘google.cloud.bigquery’ package helps with seamless interaction with Google Cloud BigQuery services. When trying to import this package, running into the “ModuleNotFoundError” may be due to one of many issues.

Here are some of the possible causes:

  • Absence of the google-cloud-bigquery package.
  • Incorrect module name in the Python code.
  • Incompatibility between the installed library version and the Python version.

Here are the solution strategies for these causes:

  • Install the google-cloud-bigquery Library:
    1. To begin with, install the required library. Since Python doesn’t include ‘google-cloud-bigquery’ in its standard library, we have to manually install it via pip.

      ```shell
      $ pip install google-cloud-bigquery

    2. Then, make sure the pip is updated:

      $ python -m pip install --upgrade pip

  • Rectify Path Issues:

    Even after installation, the error may be due to an incorrect path. Here are the steps to correct the path on Windows:

    1. First, find the Python installation folder by entering this command in the command prompt:

      where prompt

    2. Then, go to the Scripts folder and verify the presence of ‘pip’.
    3. Next, copy the location of the Scripts folder.
    4. Next, open the command prompt and go to the Scripts directory using the copied location.
    5. Then, install the library using:

      pip install google-cloud-bigquery

    6. Run the script again to verify the resolution.

Additional Solutions

  • Check for relative imports causing the error.
  • Verify Python and pip versions’ consistency. Use these commands

    python3 -m pip install google-cloud-bigquery

    or
    pip3 install google-cloud-bigquery

  • For server-side issues, try:

    pip install --user google-cloud-bigquery

  • Also, Ubuntu users can run this command to resolve the problem:

    sudo apt install google-cloud-bigquery

Let us know in the comments if you need further help with the error.

[Need assistance with a different issue? Our team is available 24/7.]

Conclusion

In brief, our Support Experts demonstrated how to fix the “modulenotfounderror no module named ‘google.cloud.bigquery’” error.

PREVENT YOUR SERVER FROM CRASHING!

Never again lose customers to poor server speed! Let us help you.

Our server experts will monitor & maintain your server 24/7 so that it remains lightning fast and secure.

GET STARTED

0 Comments

Submit a Comment

Your email address will not be published. Required fields are marked *

Never again lose customers to poor
server speed! Let us help you.

Privacy Preference Center

Necessary

Necessary cookies help make a website usable by enabling basic functions like page navigation and access to secure areas of the website. The website cannot function properly without these cookies.

PHPSESSID - Preserves user session state across page requests.

gdpr[consent_types] - Used to store user consents.

gdpr[allowed_cookies] - Used to store user allowed cookies.

PHPSESSID, gdpr[consent_types], gdpr[allowed_cookies]
PHPSESSID
WHMCSpKDlPzh2chML

Statistics

Statistic cookies help website owners to understand how visitors interact with websites by collecting and reporting information anonymously.

_ga - Preserves user session state across page requests.

_gat - Used by Google Analytics to throttle request rate

_gid - Registers a unique ID that is used to generate statistical data on how you use the website.

smartlookCookie - Used to collect user device and location information of the site visitors to improve the websites User Experience.

_ga, _gat, _gid
_ga, _gat, _gid
smartlookCookie
_clck, _clsk, CLID, ANONCHK, MR, MUID, SM

Marketing

Marketing cookies are used to track visitors across websites. The intention is to display ads that are relevant and engaging for the individual user and thereby more valuable for publishers and third party advertisers.

IDE - Used by Google DoubleClick to register and report the website user's actions after viewing or clicking one of the advertiser's ads with the purpose of measuring the efficacy of an ad and to present targeted ads to the user.

test_cookie - Used to check if the user's browser supports cookies.

1P_JAR - Google cookie. These cookies are used to collect website statistics and track conversion rates.

NID - Registers a unique ID that identifies a returning user's device. The ID is used for serving ads that are most relevant to the user.

DV - Google ad personalisation

_reb2bgeo - The visitor's geographical location

_reb2bloaded - Whether or not the script loaded for the visitor

_reb2bref - The referring URL for the visit

_reb2bsessionID - The visitor's RB2B session ID

_reb2buid - The visitor's RB2B user ID

IDE, test_cookie, 1P_JAR, NID, DV, NID
IDE, test_cookie
1P_JAR, NID, DV
NID
hblid
_reb2bgeo, _reb2bloaded, _reb2bref, _reb2bsessionID, _reb2buid

Security

These are essential site cookies, used by the google reCAPTCHA. These cookies use an unique identifier to verify if a visitor is human or a bot.

SID, APISID, HSID, NID, PREF
SID, APISID, HSID, NID, PREF