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The Table class is used to create an instance for each DynamoDB table you wish to access.

For each table, you define the table name, an AWS DynamoDB client connection object and a schema that defines your data model.

import {Table} from 'dynamodb-onetable'

const table = new Table({
    client: DocumentClientInstance,
    name: 'MyTable',
    schema: Schema,

The Table constructor takes a parameter of type object with the following properties:

Property Type Description
client DocumentClient An AWS DocumentClient instance.
crypto object Optional properties defining a crypto configuration to encrypt properties.
generate function Define a custom ID generator function that is used to create model IDs if required.
hidden boolean Return hidden fields by default. Default is false.
logger boolean|object Set to true to log to the console or set to a logging function(type, message, properties). Type is info
metrics object Configure metrics. Default null.
name string The name of your DynamoDB table.
partial boolean Allow partial object updates. This may be overridden on a schema per-field, or per-API basis. Default is true.
schema string Definition of your DynamoDB indexes and models.
senselogs object Set to a SenseLogs logger instance instead logger. Default null.
transform function Callback function to be invoked to format and parse the data before reading and writing.
validate function Function to validate properties before issuing an API.
value function Function to evaluate value templates. Default null.
warn boolean Emit warnings. Default true.

The client property must be an initialized DynamoDBClient instance. For the old AWS V2 SDK, you supply a AWS DocumentClient instance.

By default, OneTable will not write null values to the database rather, it will remove the corresponding attribute from the item. If you set the nulls property to true, null values will be written via create or update. You can also define nulls on a model attribute basis via the schema.

The metrics property may be set to a map that configures detailed CloudWatch EMF metrics. See Metrics for more information.

The schema property must be set to your OneTable schema that defines your data model. See Schemas for details.

Partial Properties

If the partial constructor property is true, you can specify partial objects when updating and only the supplied properties will be updated. If partial is false, then any objects supplied in the properties will replace the existing item object. i.e. partial permits updating individual object properties without having to provide the entire object. The default value for partial is now true.

For example, with partial set to true, you can do an update and only update an individual nested property:

let user = await User.create({
    name: 'Road Runner',
    address: {
        street: '444 Coyote Lane',

//  Update just the zip code
await User.update({
    address: {
        zip: 98103

Without partial set to true, the preceding update would have overwritten the address with just the zip code.

When using partial set to true, you must ensure the enclosing object exists before doing the update. You can ensure this by setting the schema field default to {}. For the example above, the address would have been defined as:

const schema = {
  models: {
    User: {
        pk: {type: 'string', value: '${_type}#'},
        sk: {type: 'string', value: '${_type}#${id}'},

        name: {type: 'string'},
        id: {type: 'string', generate: 'uid'},
        address: {
            type: 'object',
            default: {},
            schema: {
                address: {type: 'string'},
                zip: {type: 'number'},

Partial can also be defined in a schema field definition and in the API params.

Partial updates of arrays are not (yet) supported. You should specify partial: false in any schema array property if you are using partial updates in general.

The API params value of partial will override, the per-field definition which will override the table partial value.

AWS DynamoDB Accelerator (DAX)

The Amazon DynamoDB Accelerator is a fully managed, highly available, in-memory cache for DynamoDB. OneTable supports DAX.

Currently, the AWS SDK V3 does not support DAX via by the DynamoDBClient package so you must use the AWS SDK V2.

Here is as sample initialization code for DAX:

import {DynamoDB} from 'aws-sdk'
import AmazonDaxClient from 'amazon-dax-client'

const endpoint = "dax://DAX-CLUSTER-ENDPOINT"
const dax = new AmazonDaxClient({endpoints: [endpoint], region: 'AWS_REGION'})

const client = new DynamoDB.DocumentClient({service: dax})