dynamo-db
  1. dynamo-db-overview-of-dax
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Overview of DAX - DynamoDB Accelerator (DAX)

Syntax

Java syntax for creating a DAX client

DaxClientConfig config = new DaxClientConfig.Builder()
    .withRegion(region)
    .withEndpoints(endpoint)
    .build();

AmazonDaxClient dax = new AmazonDaxClient(config);

Example

Java example for using DAX to read data from a DynamoDB table

DaxClientConfig config = new DaxClientConfig.Builder()
    .withRegion(region)
    .withEndpoints(endpoint)
    .build();

AmazonDaxClient dax = new AmazonDaxClient(config);

DynamoDB dynamoDB = new DynamoDB(dax);

Table table = dynamoDB.getTable(tableName);

Item item = table.getItem(keyAttributeName, keyValue);

return item.toJSON();

Output

{
    "attribute1": "value1",
    "attribute2": "value2",
    ...
}

Explanation

DynamoDB Accelerator (DAX) is a fully managed, in-memory cache for DynamoDB that provides fast and predictable performance for read-intensive workloads. With DAX, you can improve the read performance of your DynamoDB tables by up to 10 times.

DAX can handle millions of reads per second, with response times measured in microseconds. It automatically scales as your workload grows, so you don't have to worry about provisioning or managing infrastructure.

To use DAX, you create a DAX client and configure it with the region and endpoints for your DynamoDB tables. Then, you can use the DAX client as a drop-in replacement for the DynamoDB client in your application code. DAX automatically caches frequently accessed data, so read operations can be served from memory instead of the slower disk storage used by DynamoDB.

Use

DAX is ideal for workloads that require fast and predictable read performance, such as real-time data analytics, gaming leaderboards, session stores, and more. It can be used with any application that uses DynamoDB, including Java, Python, Node.js, and more.

Important Points

  • DAX is a fully managed, in-memory cache for DynamoDB that provides fast and predictable read performance.
  • DAX can improve read performance by up to 10 times, with response times measured in microseconds.
  • DAX automatically scales as your workload grows, so you don't have to worry about provisioning or managing infrastructure.
  • DAX can be used with any application that uses DynamoDB, including Java, Python, Node.js, and more.

Summary

DynamoDB Accelerator (DAX) is a fully managed, in-memory cache for DynamoDB that provides fast and predictable read performance. With DAX, you can improve the read performance of your DynamoDB tables by up to 10 times, without having to worry about provisioning or managing infrastructure. DAX can handle millions of reads per second with response times measured in microseconds, making it ideal for real-time data analytics, gaming leaderboards, session stores, and more.

Point-in-time recoveryIntegrating DAX with DynamoDB for caching
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