Latest NoSQL Java Ecosystem Updates 2024 Q1 & Q2
We’re always busy adding new features, fixes, patches, and improvements to our Java-based client libraries for Azure Cosmos DB for NoSQL. In this regular blog series, we share highlights of recent updates in the last period.
January – June 2024 updates
Java SDK Updates
Integrate ThroughputControl with ChangeFeedProcessor
Added Payload Size Metrics for Gateway Mode
Overloads for readMany with Request Options
Public APIs for MicroBatch Size in CosmosBulkExecutionOptions
Custom Item Serializer
Vector Embedding Policy and Indexes for Vector Search
Support for Non-streaming OrderBy
Regional Scope for Session Tokens
Query Statement in Diagnostics and Tracing
Spring Connector Updates
IndexQueryMetrics in Configuration
Support for Transient Annotation
Hierarchical Partition Key Support
Spark Connector Updates
Configurable Connection Pool Size
Optimization for readMany Queries
Custom Schema Support for Nested Properties
Reuse CosmosAsyncClient for Spark Applications
Spark 3.5 Support
Native Netty Transport
ManagedIdentity Authentication in Databricks
Support for Access Tokens via AccountDataResolver
SPN Authentication with Certificates
Kafka Connector Updates
Major V2 Release
Fixes,
The post Latest NoSQL Java Ecosystem Updates 2024 Q1 & Q2 appeared first on Azure Cosmos DB Blog.
Published on:
Learn moreWe can help you with Latest NoSQL Java Ecosystem Updates 2024 Q1 & Q2
If you want help implementing, troubleshooting, or improving this product, contact us and we’ll point you in the right direction.
Related posts
ChatGPT runs on Azure Cosmos DB. Prove you can build what’s next.
Take the newly AI-focused DP-420 exam free at Microsoft Ignite—or take the certification test today and save 50% through Data Days. OpenAI’s s...
My Team Is Growing, How Do I Structure Who Gets Access to What?
Your project started with one or two people. Now developers, operators, analysts, and applications all need access to Azure Cosmos DB. Giving ...
Agentic CI/CD with Azure Cosmos DB: Isolated Environments for a Swarm of AI Agents
Give each coding task its own disposable database environment, then merge the reviewed changes – not the test database. When parallel co...
Inspecting Local Data with Azure Cosmos DB Shell
Explore local data from the terminal with Azure Cosmos DB Shell. Connect to the emulator, inspect FleetCharge documents, run queries, and poin...
Code with Cosmos: Build a Production-Ready AI App in Four Episodes
Follow an AI application from a blank folder to a system built for production AI application development often starts with a promising prototy...
From Local Development to CI Workflows with the Azure Cosmos DB Emulator
When you change a database-backed feature, a successful HTTP response isn’t enough. You need to know that the write reached storage, the...
Announcing GA of Safe Key Rotation in Azure Cosmos DB
In our previous post, we introduced the private preview of Safe Key Rotation, a feature that helps Azure Cosmos DB customers avoid service dis...
AI Agents: Meet the Azure Cosmos DB vNext Emulator
Over a typical 2 day window, we record 10 times as many emulator sessions lasting more than 30 minutes for vNext as for the legacy emulator. O...
Introducing the Native Confluent Cloud Connector Experience in Azure Cosmos DB!
Co-authored with Praveen Raja P Azure Cosmos DB already includes a powerful event foundation: change feed provides a durable, ordered record o...
From an Empty Folder to an AI Agent: Meet create-cosmos-agent
The first few minutes of a new AI project often feel productive. Create a chat endpoint, connect a model, send a prompt, and display the answe...