This is the Git repo of the Docker image for Amazon DynamoDB Local.
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Amazon DynamoDB is a fast and flexible NoSQL database service for all applications that need consistent, single-digit millisecond latency at any scale. It is a fully managed cloud database and supports both document and key-value store models.
The Amazon DynamoDB Local (downloadable version of DynamoDB) lets you write applications without accessing the actual Amazon DynamoDB web service. Instead, the database is self-contained on your computer.
$ docker run -v "$PWD":/dynamodb_local_db -p 8000:8000 cnadiminti/dynamodb-local:latest
Initializing DynamoDB Local with the following configuration:
Port: 8000
InMemory: false
DbPath: /dynamodb_local_db
SharedDb: true
shouldDelayTransientStatuses: false
CorsParams: *
This will add your current directory as a volume to the container and publish host port to container port.
Create a Table
$ aws dynamodb create-table --table-name myTable --attribute-definitions AttributeName=id,AttributeType=S --key-schema AttributeName=id,KeyType=HASH --provisioned-throughput ReadCapacityUnits=5,WriteCapacityUnits=5 --endpoint-url http://0.0.0.0:8000List the Tables
$ aws dynamodb list-tables --endpoint-url http://0.0.0.0:8000 --output json
{
"TableNames": [
"myTable"
]
}For complete list of available commands please refer AWS DynamoDB CLI.
This optional environment variable can be used to set JVM options.
Example usage: docker run -v "$PWD":/dynamodb_local_db -p 8000:8000 -e JAVA_OPTS='-Xmx256m' cnadiminti/dynamodb-local:latest
This optional environment variable can be used to overwrite the default port (8000).
Example usage: docker run -v "$PWD":/dynamodb_local_db -e DYNAMODB_PORT=443 -p 8000:443 cnadiminti/dynamodb-local:latest
If you have any problems with or questions about this image, please contact us through a GitHub issue.
You are invited to contribute new features, fixes, or updates, large or small; we are always thrilled to receive pull requests, and do our best to process them as fast as we can.
Before you start to code, we recommend discussing your plans through a GitHub issue, especially for more ambitious contributions. This gives other contributors a chance to point you in the right direction, give you feedback on your design, and help you find out if someone else is working on the same thing.