将BigQuery查询结果转换为DataFrame时出现PyArrow导入错误

Here are actionable fixes to resolve the PyArrow import error you're encountering:

• Verify PyArrow version compatibility
  The google-cloud-bigquery library has strict version requirements for PyArrow. Run pip show google-cloud-bigquery and check the Requires-Dist field to see the supported PyArrow version range. Install the correct version with:

  pip install pyarrow==<compatible_version>
  

  Alternatively, install the google-cloud-bigquery package with its pyarrow extra to automatically get a compatible version:

  pip install google-cloud-bigquery[pyarrow]
  

• Confirm your Python environment
  Ensure you're working in the correct virtual environment where PyArrow is installed. Run pip list to check if PyArrow appears in the package list. If not, activate the right environment and reinstall the packages there.

• Reinstall corrupted packages
  Corrupted installations can cause import issues. Uninstall and reinstall the relevant packages:

  pip uninstall -y google-cloud-bigquery pyarrow
  pip install google-cloud-bigquery pyarrow
  

• Check for conflicting local files
  Make sure there are no files named pyarrow.py or directories named pyarrow in your project root. These will shadow the official PyArrow library and prevent proper imports.

• Alternative: Use pandas-gbq directly
  If the above fixes don't work, bypass the to_dataframe() method by using pandas-gbq to fetch the query results directly into a DataFrame:

  import pandas as pd
  from google.oauth2 import service_account
  
  credentials_path = "credential path"
  credentials = service_account.Credentials.from_service_account_file(credentials_path)
  project_id = "project id"
  
  df = pd.read_gbq(
      "SELECT * FROM table",
      project_id=project_id,
      credentials=credentials
  )
  

内容的提问来源于stack exchange，提问作者Chris