How to use Azure Table storage or the Azure Cosmos DB Table API from Node.js



The content in this article applies to Azure Table storage and the Azure Cosmos DB Table API. The Azure Cosmos DB Table API is a premium offering for table storage that offers throughput-optimized tables, global distribution, and automatic secondary indexes.

This article shows you how to create tables, store your data, and perform CRUD operations on the data. Choose either the Azure Table service or the Azure Cosmos DB Table API. The samples are written in Node.js.

Create an Azure service account

You can work with tables using the Azure Table storage or the Azure Cosmos DB. To learn more about the differences between table offerings in these two services, see the Table offerings article. You'll need to create an account for the service you're going to use. The following sections show how to create both Azure Table storage and the Azure Cosmos DB account, however you can just use one of them.

Create an Azure storage account

The easiest way to create an Azure storage account is by using the Azure portal. To learn more, see Create a storage account.

You can also create an Azure storage account by using Azure PowerShell or Azure CLI.

If you prefer not to create a storage account at this time, you can also use the Azure Storage Emulator to run and test your code in a local environment. For more information, see Use the Azure Storage Emulator for development and testing.

Create an Azure Cosmos DB Table API account

For instructions on creating an Azure Cosmos DB Table API account, see Create a database account.

Configure your application to access Azure Storage or the Azure Cosmos DB Table API

To use Azure Storage or Azure Cosmos DB, you need the Azure Storage SDK for Node.js, which includes a set of convenience libraries that communicate with the Storage REST services.

Use Node Package Manager (NPM) to install the package

  1. Use a command-line interface such as PowerShell (Windows), Terminal (Mac), or Bash (Unix), and navigate to the folder where you created your application.

  2. Type npm install azure-storage in the command window. Output from the command is similar to the following example.

     azure-storage@0.5.0 node_modules\azure-storage
     +-- extend@1.2.1
     +-- xmlbuilder@0.4.3
     +-- mime@1.2.11
     +-- node-uuid@1.4.3
     +-- validator@3.22.2
     +-- underscore@1.4.4
     +-- readable-stream@1.0.33 (string_decoder@0.10.31, isarray@0.0.1, inherits@2.0.1, core-util-is@1.0.1)
     +-- xml2js@0.2.7 (sax@0.5.2)
     +-- request@2.57.0 (caseless@0.10.0, aws-sign2@0.5.0, forever-agent@0.6.1, stringstream@0.0.4, oauth-sign@0.8.0, tunnel-agent@0.4.1, isstream@0.1.2, json-stringify-safe@5.0.1, bl@0.9.4, combined-stream@1.0.5, qs@3.1.0, mime-types@2.0.14, form-data@0.2.0, http-signature@0.11.0, tough-cookie@2.0.0, hawk@2.3.1, har-validator@1.8.0)
  3. You can manually run the ls command to verify that a node_modules folder was created. Inside that folder you will find the azure-storage package, which contains the libraries you need to access storage.

Import the package

Add the following code to the top of the server.js file in your application:

var azure = require('azure-storage');

Add your connection string

You can either connect to the Azure storage account or the Azure Cosmos DB Table API account. Get the connection string based on the type of account you are using.

Add an Azure Storage connection

The Azure module reads the environment variables AZURE_STORAGE_ACCOUNT and AZURE_STORAGE_ACCESS_KEY, or AZURE_STORAGE_CONNECTION_STRING for information required to connect to your Azure Storage account. If these environment variables are not set, you must specify the account information when calling TableService. For example, the following code creates a TableService object:

var tableSvc = azure.createTableService('myaccount', 'myaccesskey');

Add an Azure Cosmos DB connection

To add an Azure Cosmos DB connection, create a TableService object and specify your account name, primary key, and endpoint. You can copy these values from Settings > Connection String in the Azure portal for your Cosmos DB account. For example:

var tableSvc = azure.createTableService('myaccount', 'myprimarykey', 'myendpoint');

Create a table

The following code creates a TableService object and uses it to create a new table.

var tableSvc = azure.createTableService();

The call to createTableIfNotExists creates a new table with the specified name if it does not already exist. The following example creates a new table named 'mytable' if it does not already exist:

tableSvc.createTableIfNotExists('mytable', function(error, result, response){
    // Table exists or created

The result.created is true if a new table is created, and false if the table already exists. The response contains information about the request.

Apply filters

You can apply optional filtering to operations performed using TableService. Filtering operations can include logging, automatic retries, etc. Filters are objects that implement a method with the signature:

function handle (requestOptions, next)

After doing its preprocessing on the request options, the method must call next, passing a callback with the following signature:

function (returnObject, finalCallback, next)

In this callback, and after processing the returnObject (the response from the request to the server), the callback must either invoke next if it exists to continue processing other filters or simply invoke finalCallback otherwise to end the service invocation.

Two filters that implement retry logic are included with the Azure SDK for Node.js, ExponentialRetryPolicyFilter and LinearRetryPolicyFilter. The following creates a TableService object that uses the ExponentialRetryPolicyFilter:

var retryOperations = new azure.ExponentialRetryPolicyFilter();
var tableSvc = azure.createTableService().withFilter(retryOperations);

Add an entity to a table

To add an entity, first create an object that defines your entity properties. All entities must contain a PartitionKey and RowKey, which are unique identifiers for the entity.

  • PartitionKey - Determines the partition in which the entity is stored.
  • RowKey - Uniquely identifies the entity within the partition.

Both PartitionKey and RowKey must be string values. For more information, see Understanding the Table Service Data Model.

The following is an example of defining an entity. The dueDate is defined as a type of Edm.DateTime. Specifying the type is optional, and types are inferred if not specified.

var task = {
  PartitionKey: {'_':'hometasks'},
  RowKey: {'_': '1'},
  description: {'_':'take out the trash'},
  dueDate: {'_':new Date(2015, 6, 20), '$':'Edm.DateTime'}


There is also a Timestamp field for each record, which is set by Azure when an entity is inserted or updated.

You can also use the entityGenerator to create entities. The following example creates the same task entity using the entityGenerator.

var entGen = azure.TableUtilities.entityGenerator;
var task = {
  PartitionKey: entGen.String('hometasks'),
  RowKey: entGen.String('1'),
  description: entGen.String('take out the trash'),
  dueDate: entGen.DateTime(new Date(Date.UTC(2015, 6, 20))),

To add an entity to your table, pass the entity object to the insertEntity method.

tableSvc.insertEntity('mytable',task, function (error, result, response) {
    // Entity inserted

If the operation is successful, result contains the ETag of the inserted record and response contains information about the operation.

Example response:

{ '.metadata': { etag: 'W/"datetime\'2015-02-25T01%3A22%3A22.5Z\'"' } }


By default, insertEntity does not return the inserted entity as part of the response information. If you plan on performing other operations on this entity, or want to cache the information, it can be useful to have it returned as part of the result. You can do this by enabling echoContent as follows:

tableSvc.insertEntity('mytable', task, {echoContent: true}, function (error, result, response) {...}

Update an entity

There are multiple methods available to update an existing entity:

  • replaceEntity - Updates an existing entity by replacing it.
  • mergeEntity - Updates an existing entity by merging new property values into the existing entity.
  • insertOrReplaceEntity - Updates an existing entity by replacing it. If no entity exists, a new one will be inserted.
  • insertOrMergeEntity - Updates an existing entity by merging new property values into the existing. If no entity exists, a new one will be inserted.

The following example demonstrates updating an entity using replaceEntity:

tableSvc.replaceEntity('mytable', updatedTask, function(error, result, response){
  if(!error) {
    // Entity updated


By default, updating an entity does not check to see if the data being updated has previously been modified by another process. To support concurrent updates:

  1. Get the ETag of the object being updated. This is returned as part of the response for any entity-related operation and can be retrieved through response['.metadata'].etag.

  2. When performing an update operation on an entity, add the ETag information previously retrieved to the new entity. For example:

    entity2['.metadata'].etag = currentEtag;

  3. Perform the update operation. If the entity has been modified since you retrieved the ETag value, such as another instance of your application, an error is returned stating that the update condition specified in the request was not satisfied.

With replaceEntity and mergeEntity, if the entity that is being updated doesn't exist, then the update operation fails; therefore, if you want to store an entity regardless of whether it already exists, use insertOrReplaceEntity or insertOrMergeEntity.

The result for successful update operations contains the Etag of the updated entity.

Work with groups of entities

Sometimes it makes sense to submit multiple operations together in a batch to ensure atomic processing by the server. To accomplish that, use the TableBatch class to create a batch, and then use the executeBatch method of TableService to perform the batched operations.

The following example demonstrates submitting two entities in a batch:

var task1 = {
  PartitionKey: {'_':'hometasks'},
  RowKey: {'_': '1'},
  description: {'_':'Take out the trash'},
  dueDate: {'_':new Date(2015, 6, 20)}
var task2 = {
  PartitionKey: {'_':'hometasks'},
  RowKey: {'_': '2'},
  description: {'_':'Wash the dishes'},
  dueDate: {'_':new Date(2015, 6, 20)}

var batch = new azure.TableBatch();

batch.insertEntity(task1, {echoContent: true});
batch.insertEntity(task2, {echoContent: true});

tableSvc.executeBatch('mytable', batch, function (error, result, response) {
  if(!error) {
    // Batch completed

For successful batch operations, result contains information for each operation in the batch.

Work with batched operations

You can inspect operations added to a batch by viewing the operations property. You can also use the following methods to work with operations:

  • clear - Clears all operations from a batch.
  • getOperations - Gets an operation from the batch.
  • hasOperations - Returns true if the batch contains operations.
  • removeOperations - Removes an operation.
  • size - Returns the number of operations in the batch.

Retrieve an entity by key

To return a specific entity based on the PartitionKey and RowKey, use the retrieveEntity method.

tableSvc.retrieveEntity('mytable', 'hometasks', '1', function(error, result, response){
    // result contains the entity

After this operation is complete, result contains the entity.

Query a set of entities

To query a table, use the TableQuery object to build up a query expression using the following clauses:

  • select - The fields to be returned from the query.

  • where - The where clause.

    • and - An and where condition.
    • or - An or where condition.
  • top - The number of items to fetch.

The following example builds a query that returns the top five items with a PartitionKey of 'hometasks'.

var query = new azure.TableQuery()
  .where('PartitionKey eq ?', 'hometasks');

Because select is not used, all fields are returned. To perform the query against a table, use queryEntities. The following example uses this query to return entities from 'mytable'.

tableSvc.queryEntities('mytable',query, null, function(error, result, response) {
  if(!error) {
    // query was successful

If successful, result.entries contains an array of entities that match the query. If the query was unable to return all entities, result.continuationToken is non-null and can be used as the third parameter of queryEntities to retrieve more results. For the initial query, use null for the third parameter.

Query a subset of entity properties

A query to a table can retrieve just a few fields from an entity. This reduces bandwidth and can improve query performance, especially for large entities. Use the select clause and pass the names of the fields to return. For example, the following query returns only the description and dueDate fields.

var query = new azure.TableQuery()
  .select(['description', 'dueDate'])
  .where('PartitionKey eq ?', 'hometasks');

Delete an entity

You can delete an entity using its partition and row keys. In this example, the task1 object contains the RowKey and PartitionKey values of the entity to delete. Then the object is passed to the deleteEntity method.

var task = {
  PartitionKey: {'_':'hometasks'},
  RowKey: {'_': '1'}

tableSvc.deleteEntity('mytable', task, function(error, response){
  if(!error) {
    // Entity deleted


Consider using ETags when deleting items, to ensure that the item hasn't been modified by another process. See Update an entity for information on using ETags.

Delete a table

The following code deletes a table from a storage account.

tableSvc.deleteTable('mytable', function(error, response){
        // Table deleted

If you are uncertain whether the table exists, use deleteTableIfExists.

Use continuation tokens

When you are querying tables for large amounts of results, look for continuation tokens. There may be large amounts of data available for your query that you might not realize if you do not build to recognize when a continuation token is present.

The results object returned during querying entities sets a continuationToken property when such a token is present. You can then use this when performing a query to continue to move across the partition and table entities.

When querying, you can provide a continuationToken parameter between the query object instance and the callback function:

var nextContinuationToken = null;
    function (error, results) {
        if (error) throw error;

        // iterate through results.entries with results

        if (results.continuationToken) {
            nextContinuationToken = results.continuationToken;


If you inspect the continuationToken object, you will find properties such as nextPartitionKey, nextRowKey and targetLocation, which can be used to iterate through all the results.

You can also use top along with continuationToken to set the page size.

Work with shared access signatures

Shared access signatures (SAS) are a secure way to provide granular access to tables without providing your Storage account name or keys. SAS are often used to provide limited access to your data, such as allowing a mobile app to query records.

A trusted application such as a cloud-based service generates a SAS using the generateSharedAccessSignature of the TableService, and provides it to an untrusted or semi-trusted application such as a mobile app. The SAS is generated using a policy, which describes the start and end dates during which the SAS is valid, as well as the access level granted to the SAS holder.

The following example generates a new shared access policy that will allow the SAS holder to query ('r') the table, and expires 100 minutes after the time it is created.

var startDate = new Date();
var expiryDate = new Date(startDate);
expiryDate.setMinutes(startDate.getMinutes() + 100);
startDate.setMinutes(startDate.getMinutes() - 100);

var sharedAccessPolicy = {
  AccessPolicy: {
    Permissions: azure.TableUtilities.SharedAccessPermissions.QUERY,
    Start: startDate,
    Expiry: expiryDate

var tableSAS = tableSvc.generateSharedAccessSignature('mytable', sharedAccessPolicy);
var host =;

Note that you must also provide the host information, as it is required when the SAS holder attempts to access the table.

The client application then uses the SAS with TableServiceWithSAS to perform operations against the table. The following example connects to the table and performs a query. See Grant limited access to Azure Storage resources using shared access signatures (SAS) article for the format of tableSAS.

// Note in the following command, host is in the format: `https://<your_storage_account_name>` and the tableSAS is in the format: `sv=2018-03-28&si=saspolicy&tn=mytable&sig=9aCzs76n0E7y5BpEi2GvsSv433BZa22leDOZXX%2BXXIU%3D`;

var sharedTableService = azure.createTableServiceWithSas(host, tableSAS);
var query = azure.TableQuery()
  .where('PartitionKey eq ?', 'hometasks');

sharedTableService.queryEntities(query, null, function(error, result, response) {
  if(!error) {
    // result contains the entities

Because the SAS was generated with only query access, an error is returned if you attempt to insert, update, or delete entities.

Access Control Lists

You can also use an Access Control List (ACL) to set the access policy for a SAS. This is useful if you want to allow multiple clients to access the table, but provide different access policies for each client.

An ACL is implemented using an array of access policies, with an ID associated with each policy. The following example defines two policies, one for 'user1' and one for 'user2':

var sharedAccessPolicy = {
  user1: {
    Permissions: azure.TableUtilities.SharedAccessPermissions.QUERY,
    Start: startDate,
    Expiry: expiryDate
  user2: {
    Permissions: azure.TableUtilities.SharedAccessPermissions.ADD,
    Start: startDate,
    Expiry: expiryDate

The following example gets the current ACL for the hometasks table, and then adds the new policies using setTableAcl. This approach allows:

var extend = require('extend');
tableSvc.getTableAcl('hometasks', function(error, result, response) {
    var newSignedIdentifiers = extend(true, result.signedIdentifiers, sharedAccessPolicy);
    tableSvc.setTableAcl('hometasks', newSignedIdentifiers, function(error, result, response){
        // ACL set

After the ACL has been set, you can then create a SAS based on the ID for a policy. The following example creates a new SAS for 'user2':

tableSAS = tableSvc.generateSharedAccessSignature('hometasks', { Id: 'user2' });

Next steps

For more information, see the following resources.