MongoDB 3.2.6 is out and is ready for production deployment. This release contains only fixes since 3.2.5, and is a recommended upgrade for all 3.2 users.
Fixed in this release:
- SERVER-22970 Background index contains mismatched index keys and documents
- SERVER-22043 count helper doesn’t apply read preference
- SERVER-23394 AuthorizationManager may deadlock while building role graph if profiling is enabled
- SERVER-23766 Remove beta startup warning for inMemory storage engine
As always, please let us know of any issues.
– The MongoDB Team
Back to Basics: Learn about MongoDB in Six Easy Steps
On May 5th we will launch a new Back to Basics webinar series . The goal of this series is to provide a gentle introduction to MongoDB for people who are new to NoSQL and are interested in accelerating their own knowledge of MongoDB. This six part series will take you from the basics of NoSQL to building and deploying your first MongoDB application. Participants are expected to have a technical background and should have at least a basic grasp of relational database technology. Some programming experience will definitely help you to get your head around the examples. The six webinars in the series are described below. Visit here to register for all the webinars in the series . Webinar 1: Introduction to NoSQL We start the series by taking a look at NoSQL and why you should care. We will cover the differences between the main types of NoSQL databases - document stores, wide column stores, and key value stores. Webinar 2: Your First MongoDB Application Next, we explore the details of how to build an application in MongoDB. We will cover the types of entities that we work with in a document database, as well as how to build document-based applications and how to manage performance, including the role of indexes. Webinar 3: Schema Design, Thinking in Documents In the third part of our series, we take a deeper look at the challenges of schema design. We will explore how to map relational schema into MongoDB, and how to optimize schema design for reads and writes. Finally, we’ll take a look at an interesting and unique feature of MongoDB - document validation. Webinar 4: Advanced Indexing, Text and Geospatial Indexes One of the key value propositions of MongoDB is its advanced library of indexing techniques. In this webinar we outline how to tune indexes. We then look at our text index capabilities which allow us to do free text searching within fields in the database, and our geospatial capabilities which allow you to search based on location. Webinar 5: Introduction to the Aggregation Framework The aggregation framework is one of the most powerful analytical tools available for MongoDB. In the fifth part of our series we explore how to create a pipeline of operations that can reshape and transform your data and apply a range of analytics functions and calculations to produce summary results across a data set. Webinar 6: Production Deployment In the final talk of the series we will explain how we create a stable production environment. You will learn how to create MongoDB production deployments that can survive many different failure scenarios. You will also learn how to create a scalable cluster than can handle any increase in the production workload. We will also introduce some of the production deployment tools that we can use to automate management and deployment. The whole series will be recorded and made available for review by all participants. If after attending these bite sized pieces of training you want to dig deeper we recommend you look at our extensive program of free training at MongoDB University . We look forward to seeing you online for the first episode on May 5th! Back to Basics Webinar 1: Introduction to NoSQL About the Author - Joe Drumgoole Joe is Director of Developer Advocacy EMEA at MongoDB. At MongoDB he helps developers to understand and utilise MongoDB in order to unleash the power of software and data for innovators everywhere. He is a software entrepreneur with over 25 years experience of successful product delivery at Digital Equipment Corporation, Nomura, Oracle Corporation, CR2 and Cape Clear Software. He has founded three software startups. Joe is a regular speaker at technical conferences and has provided mentoring and advice to many Startups over the past ten years.
Congratulations to the 2023 EMEA MongoDB Innovation Award Winners
Throughout 2023, MongoDB has recognized the exceptional successes our APAC and North America customers realize when they build with MongoDB Atlas. Today, we are pleased to announce the recipients of the 2023 EMEA MongoDB Innovation Awards. These customers join a premiere group of organizations that have been recognized for boldly exploring the power of data and harnessing it to build the applications of tomorrow. The professionals behind these innovative projects span industries, use cases, and geographies. However, what remains constant is each organization's unfailing commitment to delivering deeper insights, powerful features, and capabilities, as well as seamless experiences, to their customers. We congratulate each of the EMEA MongoDB Innovation Award winners for delivering big results and invite you to find inspiration in their work below. Building the Next Big Thing Since being originally founded in Finland as a food delivery service, Wolt expanded their offering into groceries, gifts, and other items, and makes it possible for people living in hundreds of cities across 25 countries to get whatever they need, delivered quickly and reliably to their front door. Due to the rapidly increasing scale in their business and new partnerships with enterprise retailers, Wolt needed to rethink their existing tooling that is used by their tens of thousands of merchant partners to manage their offering inside Wolt’s delivery platform. To provide their merchants with multi-venue management capabilities, increased automation, and no limitations on amounts of menu items, Wolt chose fully-managed MongoDB Atlas due to its flexible data document model, support for Kafka and event-driven architectures, high performance, and limitless scalability. Industry Transformation Gong ’s Revenue Intelligence Platform uses proprietary AI technology to enable revenue teams to utilize customer interactions to increase business efficiency, improve decision-making, and accelerate revenue growth. Gong chose MongoDB Atlas as a high-performing transactional database due to its ability to handle Gong’s complex data structures and algorithms, and indeed MongoDB Atlas was able to support 30-40 million daily interactions and mission-critical search queries. Through the adoption of MongoDB Atlas, Gong’s queries take only 20-30 milliseconds, and with Atlas’ sharding capabilities, Gong future-proofed its environment for ongoing growth and gained greater control over its customer data. Innovative Leadership in Diversity, Equity, and Inclusion As part of its "Inclusion for All" strategy, Vodafone is committed to ensuring our digital society is accessible to all, and that women feel empowered to participate in it. In addition, Vodafone’s mission is to have 40% of women in management roles by 2030. Earlier this year, Vodafone UK teamed up with MongoDB to host interactive sessions and networking for “Digital & IT Women in Tech Week.” With a shared goal of reducing the gender gap in technology and inspiring young women to build their careers by pursuing leadership roles, the week’s events brought together more than 200 Vodafone employees to discuss breaking workplace biases and enhancing gender equality in the industry. In addition, Vodafone spoke at the 2023 MongoDB.local London event in the IDEA Lounge. Inspiring Innovation Ernst & Young LLP (EY) manages high volumes of transactional data and its clients and internal teams work under strict timelines to file taxes and meet regulatory deadlines. Their cloud-based Global VAT Reporting Tool (GVRT) platform automates and digitizes the preparation of 242 different types of returns across 79 countries. With support from MongoDB Professional Services, EY planned and executed a data migration from their previous database solution to MongoDB Atlas so that the GVRT tool could fully benefit from MongoDB’s developer data platform. Since migrating to Atlas, EY experienced a significant performance boost, they reduced costs by as much as 50%, and they are able to scale without limitations to handle increased data volumes, transactional loads, and concurrent user requests during peak periods. Find out Who Uses MongoDB and read more about our customers’ MongoDB Atlas successes.