csvtobqdnh

gistfile1.txt

import pandas as pd
from google.cloud import bigquery

# Set up BigQuery client
client = bigquery.Client()

# Function to create temporary table from CSV
def create_temp_table_from_csv(dataset_id, table_name, csv_path):
    # Read CSV into pandas DataFrame
    df = pd.read_csv(csv_path)
    
    # Generate schema from DataFrame
    schema = []
    for column in df.columns:
        dtype = df[column].dtype
        if dtype == 'int64':
            schema.append(f"{column} INT64")
        elif dtype == 'float64':
            schema.append(f"{column} FLOAT64")
        elif dtype == 'bool':
            schema.append(f"{column} BOOL")
        else:
            schema.append(f"{column} STRING")
    
    # Create temporary table query
    table_ref = client.dataset(dataset_id).table(table_name)
    table = bigquery.Table(table_ref, schema=schema)
    table.expires = 3600  # Set expiry time for the temporary table (optional)
    client.create_table(table)  # Create the temporary table

    print(f"Temporary table {dataset_id}.{table_name} created successfully.")

# Example usage
if __name__ == "__main__":
    dataset_id = "your_dataset"  # Replace with your BigQuery dataset ID
    table_name = "temp_table"    # Replace with your desired temporary table name
    csv_path = "path/to/your/file.csv"  # Replace with the path to your CSV file

    create_temp_table_from_csv(dataset_id, table_name, csv_path)