How to load data from BigQuery to MongoDB
Learn how to use Airbyte to synchronize your BigQuery data into MongoDB within minutes.
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How to Sync to Manually
Step 1: Set Up Google Cloud SDK
Begin by installing the Google Cloud SDK on your local machine. This will allow you to interact with BigQuery using the `bq` command-line tool. Follow the instructions on the [Google Cloud SDK installation page](https://cloud.google.com/sdk/docs/install) for your operating system. Once installed, authenticate using `gcloud auth login`.
Step 2: Export Data from BigQuery
Use the `bq extract` command to export data from BigQuery into Google Cloud Storage (GCS) in a format that MongoDB can ingest, such as CSV or JSON. For example:
```shell
bq extract --destination_format CSV 'project_id:dataset.table' gs://your_bucket/your_file.csv
```
Make sure to replace `project_id`, `dataset`, `table`, `your_bucket`, and `your_file.csv` with the appropriate values.
Step 3: Download Data from Google Cloud Storage
Download the exported file from Google Cloud Storage to your local machine using the `gsutil` command:
```shell
gsutil cp gs://your_bucket/your_file.csv /local/path/your_file.csv
```
Replace `your_bucket`, `your_file.csv`, and `/local/path/` with the correct values for your bucket and local storage path.
Step 4: Install MongoDB Tools
Ensure you have MongoDB installed on your local machine, including the `mongoimport` tool. If not already installed, you can download it from the [MongoDB official website](https://www.mongodb.com/try/download/community).
Step 5: Prepare Data for MongoDB Import
If your data is in CSV format, ensure that it is structured correctly with appropriate headers. If needed, perform any data transformation or cleanup using a script or tool of your choice (e.g., Python, Excel).
Step 6: Import Data into MongoDB
Use the `mongoimport` tool to import the data from the CSV or JSON file into MongoDB. If your data is in CSV format, the command would look like this:
```shell
mongoimport --db your_db --collection your_collection --type csv --headerline --file /local/path/your_file.csv
```
Replace `your_db`, `your_collection`, and `/local/path/your_file.csv` with your actual database name, collection name, and file path.
Step 7: Verify the Data in MongoDB
After importing, verify that the data is correctly imported into MongoDB. Open the MongoDB shell using the `mongo` command and run queries to check the data:
```shell
use your_db
db.your_collection.find().limit(5).pretty()
```
Replace `your_db` and `your_collection` with your actual database and collection names. This will display the first five documents in a readable format.
By following these steps, you can successfully transfer data from BigQuery to MongoDB without relying on third-party connectors or integrations.