How to load data from SFTP Bulk to BigQuery
Learn how to use Airbyte to synchronize your SFTP Bulk data into BigQuery within minutes.
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How to Sync to Manually
Step 1: Set Up Google Cloud SDK
First, ensure that the Google Cloud SDK is installed on your local machine or server. The SDK provides the `gcloud` and `gsutil` command-line tools, which are necessary for interacting with Google Cloud services, including Google Cloud Storage (GCS) and BigQuery.
Step 2: Download Files from SFTP Server
Use an SFTP client or command-line tool to download files from the SFTP server to your local machine or server. For command-line usage, you can use the `sftp` command:
```bash
sftp username@host:/path/to/files /local/path
```
Step 3: Upload Files to Google Cloud Storage
Once the files are downloaded locally, upload them to a Google Cloud Storage bucket. This step acts as an intermediary to prepare the data for BigQuery. Use the `gsutil` command:
```bash
gsutil cp /local/path/ gs://your-bucket-name/path/
```
Step 4: Prepare BigQuery Dataset and Table
Before importing data, ensure that a BigQuery dataset and table are ready. If not, create them using the `bq` command. For example:
```bash
bq mk --dataset your-project-id:your_dataset
bq mk --table your-project-id:your_dataset.your_table schema.json
```
Replace `schema.json` with the path to your table schema file.
Step 5: Load Data from GCS to BigQuery
Use the `bq` command to load data from GCS into BigQuery. This command will load the data into the specified dataset and table:
```bash
bq load --source_format=CSV your-project-id:your_dataset.your_table gs://your-bucket-name/path/ schema.json
```
Adjust `source_format` based on your data format (e.g., CSV, JSON, AVRO).
Step 6: Verify Data in BigQuery
After loading, verify that the data has been correctly imported into BigQuery. Use the BigQuery Console or `bq` command-line tool to run queries and check the integrity and completeness of the data:
```bash
bq query --nouse_legacy_sql 'SELECT FROM your_dataset.your_table LIMIT 10'
```
Step 7: Clean Up Temporary Files
Optionally, to save storage costs and maintain organization, delete temporary files from your local system and the GCS bucket after confirming that the data has been successfully loaded into BigQuery:
```bash
rm /local/path/
gsutil rm gs://your-bucket-name/path/
```
Following these steps will allow you to move data from an SFTP server to BigQuery without using third-party connectors or integrations.