Skip to content
cccskills
FreePublished on GitHub

azure-cosmos-ts

Implement Azure Cosmos DB data operations in JavaScript or TypeScript with @azure/cosmos. Covers creating, querying, updating, and deleting documents, plus bulk operations, container setup, and checks that prevent concurrent changes from overwriting each other.

OriginalShow the original description

Azure Cosmos DB JavaScript/TypeScript SDK (@azure/cosmos) for data plane operations. Use for CRUD operations on documents, queries, bulk operations, and container management.

Works withAzure
See how to install

Good for

  • Implement document creation, retrieval, updates, and deletion
  • Build filtered queries with pagination
  • Process multiple document operations in bulk
  • Detect conflicting updates from multiple processes

Files included (1)

  • SKILL.md11.2 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

@azure/cosmos (TypeScript/JavaScript)

Data plane SDK for Azure Cosmos DB NoSQL API operations — CRUD on documents, queries, bulk operations.

⚠️ Data vs Management Plane

  • This SDK (@azure/cosmos): CRUD operations on documents, queries, stored procedures
  • Management SDK (@azure/arm-cosmosdb): Create accounts, databases, containers via ARM

Installation

npm install @azure/cosmos @azure/identity

Current Version: 4.9.0
Node.js: >= 20.0.0

Environment Variables

COSMOS_ENDPOINT=https://<account>.documents.azure.com:443/
COSMOS_DATABASE=<database-name>
COSMOS_CONTAINER=<container-name>
# For key-based auth only (prefer AAD)
COSMOS_KEY=<account-key>

Authentication

AAD with DefaultAzureCredential (Recommended)

import { CosmosClient } from "@azure/cosmos";
import { DefaultAzureCredential } from "@azure/identity";

const client = new CosmosClient({
  endpoint: process.env.COSMOS_ENDPOINT!,
  aadCredentials: new DefaultAzureCredential(),
});

Key-Based Authentication

import { CosmosClient } from "@azure/cosmos";

// Option 1: Endpoint + Key
const client = new CosmosClient({
  endpoint: process.env.COSMOS_ENDPOINT!,
  key: process.env.COSMOS_KEY!,
});

// Option 2: Connection String
const client = new CosmosClient(process.env.COSMOS_CONNECTION_STRING!);

Resource Hierarchy

CosmosClient
└── Database
    └── Container
        ├── Items (documents)
        ├── Scripts (stored procedures, triggers, UDFs)
        └── Conflicts

Core Operations

Database & Container Setup

const { database } = await client.databases.createIfNotExists({
  id: "my-database",
});

const { container } = await database.containers.createIfNotExists({
  id: "my-container",
  partitionKey: { paths: ["/partitionKey"] },
});

Create Document

interface Product {
  id: string;
  partitionKey: string;
  name: string;
  price: number;
}

const item: Product = {
  id: "product-1",
  partitionKey: "electronics",
  name: "Laptop",
  price: 999.99,
};

const { resource } = await container.items.create<Product>(item);

Read Document

const { resource } = await container
  .item("product-1", "electronics") // id, partitionKey
  .read<Product>();

if (resource) {
  console.log(resource.name);
}

Update Document (Replace)

const { resource: existing } = await container
  .item("product-1", "electronics")
  .read<Product>();

if (existing) {
  existing.price = 899.99;
  const { resource: updated } = await container
    .item("product-1", "electronics")
    .replace<Product>(existing);
}

Upsert Document

const item: Product = {
  id: "product-1",
  partitionKey: "electronics",
  name: "Laptop Pro",
  price: 1299.99,
};

const { resource } = await container.items.upsert<Product>(item);

Delete Document

await container.item("product-1", "electronics").delete();

Patch Document (Partial Update)

import { PatchOperation } from "@azure/cosmos";

const operations: PatchOperation[] = [
  { op: "replace", path: "/price", value: 799.99 },
  { op: "add", path: "/discount", value: true },
  { op: "remove", path: "/oldField" },
];

const { resource } = await container
  .item("product-1", "electronics")
  .patch<Product>(operations);

Queries

Simple Query

const { resources } = await container.items
  .query<Product>("SELECT * FROM c WHERE c.price < 1000")
  .fetchAll();

Parameterized Query (Recommended)

import { SqlQuerySpec } from "@azure/cosmos";

const querySpec: SqlQuerySpec = {
  query: "SELECT * FROM c WHERE c.partitionKey = @category AND c.price < @maxPrice",
  parameters: [
    { name: "@category", value: "electronics" },
    { name: "@maxPrice", value: 1000 },
  ],
};

const { resources } = await container.items
  .query<Product>(querySpec)
  .fetchAll();

Query with Pagination

const queryIterator = container.items.query<Product>(querySpec, {
  maxItemCount: 10, // Items per page
});

while (queryIterator.hasMoreResults()) {
  const { resources, continuationToken } = await queryIterator.fetchNext();
  console.log(`Page with ${resources?.length} items`);
  // Use continuationToken for next page if needed
}

Cross-Partition Query

const { resources } = await container.items
  .query<Product>(
    "SELECT * FROM c WHERE c.price > 500",
    { enableCrossPartitionQuery: true }
  )
  .fetchAll();

Bulk Operations

Execute Bulk Operations

import { BulkOperationType, OperationInput } from "@azure/cosmos";

const operations: OperationInput[] = [
  {
    operationType: BulkOperationType.Create,
    resourceBody: { id: "1", partitionKey: "cat-a", name: "Item 1" },
  },
  {
    operationType: BulkOperationType.Upsert,
    resourceBody: { id: "2", partitionKey: "cat-a", name: "Item 2" },
  },
  {
    operationType: BulkOperationType.Read,
    id: "3",
    partitionKey: "cat-b",
  },
  {
    operationType: BulkOperationType.Replace,
    id: "4",
    partitionKey: "cat-b",
    resourceBody: { id: "4", partitionKey: "cat-b", name: "Updated" },
  },
  {
    operationType: BulkOperationType.Delete,
    id: "5",
    partitionKey: "cat-c",
  },
  {
    operationType: BulkOperationType.Patch,
    id: "6",
    partitionKey: "cat-c",
    resourceBody: {
      operations: [{ op: "replace", path: "/name", value: "Patched" }],
    },
  },
];

const response = await container.items.executeBulkOperations(operations);

response.forEach((result, index) => {
  if (result.statusCode >= 200 && result.statusCode < 300) {
    console.log(`Operation ${index} succeeded`);
  } else {
    console.error(`Operation ${index} failed: ${result.statusCode}`);
  }
});

Partition Keys

Simple Partition Key

const { container } = await database.containers.createIfNotExists({
  id: "products",
  partitionKey: { paths: ["/category"] },
});

Hierarchical Partition Key (MultiHash)

import { PartitionKeyDefinitionVersion, PartitionKeyKind } from "@azure/cosmos";

const { container } = await database.containers.createIfNotExists({
  id: "orders",
  partitionKey: {
    paths: ["/tenantId", "/userId", "/sessionId"],
    version: PartitionKeyDefinitionVersion.V2,
    kind: PartitionKeyKind.MultiHash,
  },
});

// Operations require array of partition key values
const { resource } = await container.items.create({
  id: "order-1",
  tenantId: "tenant-a",
  userId: "user-123",
  sessionId: "session-xyz",
  total: 99.99,
});

// Read with hierarchical partition key
const { resource: order } = await container
  .item("order-1", ["tenant-a", "user-123", "session-xyz"])
  .read();

Error Handling

import { ErrorResponse } from "@azure/cosmos";

try {
  const { resource } = await container.item("missing", "pk").read();
} catch (error) {
  if (error instanceof ErrorResponse) {
    switch (error.code) {
      case 404:
        console.log("Document not found");
        break;
      case 409:
        console.log("Conflict - document already exists");
        break;
      case 412:
        console.log("Precondition failed (ETag mismatch)");
        break;
      case 429:
        console.log("Rate limited - retry after:", error.retryAfterInMs);
        break;
      default:
        console.error(`Cosmos error ${error.code}: ${error.message}`);
    }
  }
  throw error;
}

Optimistic Concurrency (ETags)

// Read with ETag
const { resource, etag } = await container
  .item("product-1", "electronics")
  .read<Product>();

if (resource && etag) {
  resource.price = 899.99;
  
  try {
    // Replace only if ETag matches
    await container.item("product-1", "electronics").replace(resource, {
      accessCondition: { type: "IfMatch", condition: etag },
    });
  } catch (error) {
    if (error instanceof ErrorResponse && error.code === 412) {
      console.log("Document was modified by another process");
    }
  }
}

TypeScript Types Reference

import {
  // Client & Resources
  CosmosClient,
  Database,
  Container,
  Item,
  Items,
  
  // Operations
  OperationInput,
  BulkOperationType,
  PatchOperation,
  
  // Queries
  SqlQuerySpec,
  SqlParameter,
  FeedOptions,
  
  // Partition Keys
  PartitionKeyDefinition,
  PartitionKeyDefinitionVersion,
  PartitionKeyKind,
  
  // Responses
  ItemResponse,
  FeedResponse,
  ResourceResponse,
  
  // Errors
  ErrorResponse,
} from "@azure/cosmos";

Best Practices

  1. Use AAD authentication — Prefer DefaultAzureCredential over keys
  2. Always use parameterized queries — Prevents injection, improves plan caching
  3. Specify partition key — Avoid cross-partition queries when possible
  4. Use bulk operations — For multiple writes, use executeBulkOperations
  5. Handle 429 errors — Implement retry logic with exponential backoff
  6. Use ETags for concurrency — Prevent lost updates in concurrent scenarios
  7. Close client on shutdown — Call client.dispose() in cleanup

Common Patterns

Service Layer Pattern

export class ProductService {
  private container: Container;

  constructor(client: CosmosClient) {
    this.container = client
      .database(process.env.COSMOS_DATABASE!)
      .container(process.env.COSMOS_CONTAINER!);
  }

  async getById(id: string, category: string): Promise<Product | null> {
    try {
      const { resource } = await this.container
        .item(id, category)
        .read<Product>();
      return resource ?? null;
    } catch (error) {
      if (error instanceof ErrorResponse && error.code === 404) {
        return null;
      }
      throw error;
    }
  }

  async create(product: Omit<Product, "id">): Promise<Product> {
    const item = { ...product, id: crypto.randomUUID() };
    const { resource } = await this.container.items.create<Product>(item);
    return resource!;
  }

  async findByCategory(category: string): Promise<Product[]> {
    const querySpec: SqlQuerySpec = {
      query: "SELECT * FROM c WHERE c.partitionKey = @category",
      parameters: [{ name: "@category", value: category }],
    };
    const { resources } = await this.container.items
      .query<Product>(querySpec)
      .fetchAll();
    return resources;
  }
}

Related SDKs

SDKPurposeInstall
@azure/cosmosData plane (this SDK)npm install @azure/cosmos
@azure/arm-cosmosdbManagement plane (ARM)npm install @azure/arm-cosmosdb
@azure/identityAuthenticationnpm install @azure/identity

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

Assess a new or existing AI project by examining its code, goals, and constraints. Recommend skills confirmed to exist in the available registry, then outline tasks and implementation phases with dependencies, completion criteria, and checks.

  • Planning the first steps of a new AI project
  • Assessing technical issues in an existing project
  • Selecting relevant skills from an available registry
sickn33/agentic-awesome-skills47.9KUpdated Oct 19, 2026

007

FreeSummary

Review code and infrastructure for security risks, map potential threats, and plan stronger defenses. The skill covers OWASP checks, attack and defense exercises, and incident response, with validation required for each environment.

  • Reviewing code and infrastructure security
  • Mapping threats with STRIDE or PASTA
  • Planning stronger security settings
sickn33/agentic-awesome-skills47.9KUpdated Oct 19, 2026

Turn a repeatable task into an Andru.ia skill with clear inputs, outputs, examples, and limits. Draft SKILL.md, check the folder structure and required validations, and prepare a pull request describing the changes for review.

  • Creating a skill for a repeatable task
  • Improving an existing skill’s examples and limits
  • Validating skill files and preparing a pull request
sickn33/agentic-awesome-skills47.9KUpdated Oct 19, 2026

Prepare an industry briefing once a project's sector is defined. It covers sector context, potentially applicable regulations, familiar interface patterns, technology choices, and risks, while separating verified evidence from hypotheses and questions requiring further review.

  • Researching industry requirements before product design
  • Checking regulations for a project's jurisdiction
  • Choosing interface patterns familiar to target users
sickn33/agentic-awesome-skills47.9KUpdated Oct 19, 2026

Create presentation drafts from text, outlines, or documents through the 2slides API. Match a reference image's style, choose themes, add AI voice narration, and export slide images or audio for review and use.

  • Create a presentation from text or an outline
  • Summarize a document into slides
  • Match slide styling to a reference image
sickn33/agentic-awesome-skills47.9KUpdated Oct 19, 2026

Plan a 360-degree or peer feedback process and create empty response templates from confirmed requirements. Produces consistent CSV, SQL, JSON Schema, or Notion property mappings while keeping visibility choices and scoring configuration separate.

  • Plan an anonymous peer feedback process
  • Create a CSV template for feedback responses
  • Align feedback fields across SQL and JSON Schema
sickn33/agentic-awesome-skills47.9KUpdated Oct 19, 2026

See all skills by sickn33

Report a problem with this skill