Loader Google BigQuery

Google BigQuery loader enables to load of the data from Meiro Integrations to Google Big Query.

Data In/Data Out

Data In	Upload all files into `/data/in/files`
Data Out	N/A

Learn more: about the folder structure here.

Parameters

All parameters are set on Google:

Project (required)	Google project name.
Dataset (required)	Google dataset.

Learn more: Datasets are top-level containers that are used to organize and control access to your tables and views. Learn more about datasets here.

Table

Input Table (required)	Name of the table you want to load to the database.
DB Table Name (required)	Database table name.
Incremental	Signifies if you want to load the data by overwriting whatever is in the database or incrementally.
DB Column Name (required)	Database column name.
Column Name (required)	The name of the column in the input table you want to load to the database.
Data Type (required)	The data type can be string, int64, float64, boolean or timestamp.

FAQ

My loading did not complete, with the following error message. How do I fix it?

File "/home/google_bigquery_writer/schema_mapper.py", line 25, in get_csv_schema
return docker.Config(data_dir).get_file_manifest(file_path)['columns']
KeyError: 'columns'

The loader requires a manifest file with the columns parameter, and it should be a list of column names of the CSV you are loading.

Create a manifest file based on the code template below. Remember to change the file names, destination names, and fields accordingly based on the CSV that you are trying to load:

import json

with open("/data/out/tables/<file_name>.csv.manifest", "w") as outf:
    outf.write(
        json.dumps(
            {
                "destination": "<destination_name>", 
                "incremental": False,
                "columns": [
                    "<field01>",
                    "<field02>",
                    "<field03>"
                ]
            }
        )
    )