How to load data from DynamoDB to DynamoDB
Learn how to use Airbyte to synchronize your DynamoDB data into DynamoDB within minutes.


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How to Sync to Manually
Step 1: Set Up AWS CLI
Ensure that the AWS Command Line Interface (CLI) is installed and configured on your machine. This tool will allow you to interact with AWS services, including DynamoDB, from your command line. Use the command `aws configure` to set up your access key, secret key, region, and output format.
Step 2: Export Data from Source Table
Use the AWS CLI to scan the entire source table and export the data to a JSON file. The command looks like this:
```
aws dynamodb scan --table-name SourceTableName --output json > source_data.json
```
This command retrieves all items from the source table and stores them in a JSON file named `source_data.json`.
Step 3: Prepare Data for Import
If necessary, modify the JSON file to match the data schema of the target table. Ensure that the attribute names and data types conform to what is expected by the target table. You can use any text editor or script to make these changes.
Step 4: Create the Target Table
If the target table does not already exist, create it using the AWS CLI. Ensure that its key schema, attribute definitions, and provisioned throughput match your requirements:
```
aws dynamodb create-table --table-name TargetTableName --attribute-definitions AttributeName=DataType --key-schema AttributeName=KeyType --provisioned-throughput ReadCapacityUnits=5,WriteCapacityUnits=5
```
Replace the placeholders with your specific attribute names, data types, and key types (HASH or RANGE).
Step 5: Write a Batch Import Script
Use a scripting language like Python to read the data from the JSON file and insert it into the target table using the `batch-write-item` operation. This operation allows you to insert multiple items at once, efficiently handling larger datasets.
```python
import boto3
import json
# Initialize a session using Amazon DynamoDB
dynamodb = boto3.resource('dynamodb', region_name='your-region')
# Load data from JSON file
with open('source_data.json') as json_file:
items = json.load(json_file)['Items']
# Specify the target table
table = dynamodb.Table('TargetTableName')
# Batch write items
with table.batch_writer() as batch:
for item in items:
batch.put_item(Item=item)
```
Make sure to replace `'your-region'` and `'TargetTableName'` with your specific values.
Step 6: Run the Import Script
Execute the batch import script you wrote in the previous step. This will read the data from the JSON file and write it to the target DynamoDB table. Monitor the process to ensure that all items are transferred successfully.
Step 7: Verify Data Integrity
After the data transfer is complete, verify that the data in the target table matches the data in the source table. You can perform a scan operation on the target table to check for consistency:
```
aws dynamodb scan --table-name TargetTableName
```
Compare the results to ensure the data integrity and completeness of the transfer.
By following these steps, you can efficiently move data from one DynamoDB table to another using AWS native tools without relying on third-party connectors or integrations.