MongoDB is a JSON-style store. Just like JSON, we can nest objects within other objects, and also arrays of data within objects.
This then suggests the question or issue: how does one perform a query on nested objects? Index keys in nested objects? This is very important of course. The following doc page explains the method.
Databases and Predictability of Performance
A subject which perhaps doesn’t get enough attention is whether the performance of a database is predictable . What we are asking is: are there ever any surprises or gotchas in the time it takes for a db operation to execute? For traditional database management systems, the answer is yes. For example, statistical query optimizers can be unpredictable: if the statistics for a table change in production, the query plan may change. This could result in a big change in performance – perhaps better, perhaps worse – but it certainly wasn’t an expected change. Query plans and performance profiles that were never tested in QA may go into effect. Another potential issue is locking. A lock from one transaction may cause another operation that is normally very fast to be slow. If a system is simple enough, it is predictable. memcached is very predictable in performance: perhaps that is one reason it is so widely used. Yet we also need more sophisticated tools, and as they become more advanced, predictability is hard. A goal of the MongoDB project is to be reasonably predictable in performance. Note this is a goal: the database is far from perfect in this regard today, but we think it certainly moves things in the right direction. For example, the MongoDB query optimizer utilitizes concurrent query plan evaluation to assure good worst-case performance on queries, at a slight expense to average query time. Further, the lockless design eliminates unpredictability from locking. Other areas of the system could still use improvement: particularly concurrent query execution. That said, this is certainly considered an important area for the project and will only get better over time.
Tackling the 5G Complexity Beast with MongoDB’s Developer Data Platform Simplicity
The advent and commercialization of 5G is driving a sea change in the mobile user experience. This success is evidenced by the booming adoption of 5G-enabled devices. Supporting real-time business, streaming, and gaming applications on a 5G network is essential for telecommunications companies’ enterprise growth but demanding on the systems that support them. As the “cloudification” of network functions continues to evolve, it grows more challenging for older business support systems (BSS) and operations support systems (OSS) to keep up. To address the needs of increasingly complex networks, operators are reevaluating their data strategy by recognizing that a developer-focused data platform, to address the needs of mission critical systems, can enable a greater level of agility across the enterprise. This is the thesis of a new IDC white paper, sponsored by MongoDB, Effective Data Management is Essential for Taming the 5G Network Complexity Beast (doc #US49660722, September 2022). In the analysis, led by Karl Whitelock, Research Vice President, Communication Service Provider - Operations & Monetization, IDC examines the new generation of services that will drive innovation in multiple industries, and reviews solutions for the challenges telecommunications providers will face amid new operations and monetization strategies derived from 5G and mobile edge computing services. Take me straight to the IDC White Paper: Effective Data Management is Essential for Taming the 5G Network Complexity Beast Building business solutions at the network edge As software-driven 5G services evolve through a cloud-native network architecture, complexity grows. Within the multi-technology network, an advancing web of systems connects data from the mobile network to an edge cloud, HCP cloud, the core network, the internet, and back again. To manage this complexity, network automation and extensive data analytics capabilities are key components in delivering a first-class customer experience. The new generation of digital services is 5G enabled. IDC is witnessing demand from social media, streaming video, search, gaming, transport, and industrial internet IoT applications building network traffic, and associated data, at soaring rates. Businesses across diverse industries are jumping on the 5G bandwagon. The business solutions being dreamed up by developers are redefining services and business outcomes, particularly when utilizing delivery at the network edge. For example: Manufacturing Private 5G networks help high-speed production facilities identify defects and remove incorrectly assembled equipment. Architecture/Construction Robots measure architectural layouts and site dimensions are collected during construction. Records are stored in the cloud for later access by inspectors, builders, and customers. Sporting Events Edge computing can be faster and more reliable for processing data at large scale sporting events. This allows organizers to collect and process data to build interactive digital experiences at the edge.