Module: dynamodb

Terraform module to provision a DynamoDB table with autoscaling.

Autoscaler scales up/down the provisioned OPS for the DynamoDB table based on the load.

Requirements

This module requires AWS Provider >= 4.22.0

Usage

For a complete example, see examples/complete.

For automated tests of the complete example using bats and Terratest (which tests and deploys the example on AWS), see test.

module "dynamodb_table" {
  source = "cloudposse/dynamodb/aws"
  # Cloud Posse recommends pinning every module to a specific version
  # version     = "x.x.x"
  namespace                    = "eg"
  stage                        = "dev"
  name                         = "cluster"
  hash_key                     = "HashKey"
  range_key                    = "RangeKey"
  autoscale_write_target       = 50
  autoscale_read_target        = 50
  autoscale_min_read_capacity  = 5
  autoscale_max_read_capacity  = 20
  autoscale_min_write_capacity = 5
  autoscale_max_write_capacity = 20
  enable_autoscaler            = true
}

Advanced Usage

With additional attributes, global secondary indexes and non_key_attributes (see examples/complete).

module "dynamodb_table" {
  source = "cloudposse/dynamodb/aws"
  # Cloud Posse recommends pinning every module to a specific version
  # version     = "x.x.x"
  namespace                    = "eg"
  stage                        = "dev"
  name                         = "cluster"
  hash_key                     = "HashKey"
  range_key                    = "RangeKey"
  autoscale_write_target       = 50
  autoscale_read_target        = 50
  autoscale_min_read_capacity  = 5
  autoscale_max_read_capacity  = 20
  autoscale_min_write_capacity = 5
  autoscale_max_write_capacity = 20
  enable_autoscaler            = true

  dynamodb_attributes = [
    {
      name = "DailyAverage"
      type = "N"
    },
    {
      name = "HighWater"
      type = "N"
    },
    {
      name = "Timestamp"
      type = "S"
    }
  ]

  local_secondary_index_map = [
    {
      name               = "TimestampSortIndex"
      range_key          = "Timestamp"
      projection_type    = "INCLUDE"
      non_key_attributes = ["HashKey", "RangeKey"]
    },
    {
      name               = "HighWaterIndex"
      range_key          = "Timestamp"
      projection_type    = "INCLUDE"
      non_key_attributes = ["HashKey", "RangeKey"]
    }
  ]

  global_secondary_index_map = [
    {
      name               = "DailyAverageIndex"
      hash_key           = "DailyAverage"
      range_key          = "HighWater"
      write_capacity     = 5
      read_capacity      = 5
      projection_type    = "INCLUDE"
      non_key_attributes = ["HashKey", "RangeKey"]
    }
  ]

  replicas = ["us-east-1"]
}

NOTE: Variables "global_secondary_index_map" and "local_secondary_index_map" have a predefined schema, but in some cases not all fields are required or needed.

For example:

• non_key_attributes can't be specified for Global Secondary Indexes (GSIs) when projection_type is ALL
• read_capacity and write_capacity are not required for GSIs

In these cases, set the fields to null and Terraform will treat them as if they were not provided at all, but will not complain about missing values:

  global_secondary_index_map = [
    {
      write_capacity     = null
      read_capacity      = null
      projection_type    = "ALL"
      non_key_attributes = null
    }
  ]

See Terraform types and values for more details.