How to load data from MongoDb to S3 Glue
Learn how to use Airbyte to synchronize your MongoDb data into S3 Glue within minutes.
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How to Sync to Manually
Step 1: Set Up AWS Environment
Ensure you have an AWS account with the necessary permissions to create and manage AWS S3 buckets, AWS Glue jobs, and IAM roles. Create an S3 bucket where you will store the data extracted from MongoDB.
Step 2: Export MongoDB Data to JSON/CSV
Use MongoDB's native tools to export the data to JSON or CSV format. You can use the `mongoexport` command-line tool to accomplish this. For example:
```bash
mongoexport --db yourDatabase --collection yourCollection --out data.json
```
This command will export your desired MongoDB collection into a `data.json` file.
Step 3: Upload Data to S3 Bucket
After exporting the MongoDB data, upload it to your S3 bucket. This can be done using the AWS CLI or AWS Management Console. For the AWS CLI, use:
```bash
aws s3 cp data.json s3://your-bucket-name/
```
Ensure that your IAM user or role has the necessary permissions to upload files to the S3 bucket.
Step 4: Create an IAM Role for AWS Glue
Create an IAM role that AWS Glue can assume. This role should have policies that allow it to read from your S3 bucket and write logs to AWS CloudWatch. Attach the `AmazonS3ReadOnlyAccess` and `CloudWatchLogsFullAccess` policies to this role.
Step 5: Set Up AWS Glue Crawler
In the AWS Glue console, create a new crawler. Configure it to read the data from your S3 bucket where you uploaded the MongoDB JSON/CSV file. This crawler will infer the schema and create a table in the Glue Data Catalog.
Step 6: Create an AWS Glue Job
Set up a new Glue ETL job in the AWS Glue console. This job will process the data from the Glue Data Catalog table created by your crawler. Configure the job to perform any necessary transformations, or simply to process and store the data in a different format or partition in S3.
Step 7: Run and Monitor the Glue Job
Execute the Glue job and monitor its progress through the AWS Glue console. Check CloudWatch logs for any errors or issues during the job execution. Once the job completes successfully, your MongoDB data will be transformed and stored in the desired format and location within your S3 bucket.
By following these steps, you can efficiently move and transform data from MongoDB to AWS S3 using AWS Glue without the need for any third-party connectors.