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A New Era of .NET Development with MongoDB | Software Architecture Conference
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Aug 6, 2025
Join us to learn how MongoDB is improving the .NET/C# developer experience with the MongoDB Provider for Entity Framework Core (EFCore), alongside other integrations like Microsoft Semantic Kernel and MongoDB Analyzer for .NET. We'll explore how the MongoDB Provider for EF Core enhances .NET/C# development by boosting developer productivity and streamlining the development process, allowing developers to leverage familiar APIs and design patterns. This talk will showcase the cohesive potential of these technologies in pushing the boundaries of modern application development to better streamline the development process. After attending this session you will be able to: - Understand the benefits of and how to get started with the MongoDB Provider for EF Core - Learn about other integrations in the .NET ecosystem by MongoDB like the Microsoft Semantic Kernel for gen AI applications, OData extension and the .NET Analyzer. 🔗 Conference Website: https://softwarearchitecture.live 📺 CSharp TV - Dev Streaming Destination http://csharp.tv 🌎 C# Corner - Community of Software and Data Developers https://www.c-sharpcorner.com #CSharpTV #CSharpCorner #CSharp #SoftwareArchitectureConf
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so hey everyone and welcome to a new er
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so hey everyone and welcome to a new er
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so hey everyone and welcome to a new er of net development with mongodb at the
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of net development with mongodb at the
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of net development with mongodb at the Third Edition of the software
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Third Edition of the software
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Third Edition of the software architecture conference by cop TV my
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architecture conference by cop TV my
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architecture conference by cop TV my name is rishid paa and I'm a senior
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name is rishid paa and I'm a senior
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name is rishid paa and I'm a senior product manager at mongodb focusing on
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product manager at mongodb focusing on
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product manager at mongodb focusing on the developer experience for net and
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the developer experience for net and
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the developer experience for net and Cesar I am based in Toronto Canada which
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Cesar I am based in Toronto Canada which
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Cesar I am based in Toronto Canada which is home for me since the last two years
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is home for me since the last two years
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is home for me since the last two years before which I spent the last seven
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before which I spent the last seven
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before which I spent the last seven years in the US but I'm originally from
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years in the US but I'm originally from
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years in the US but I'm originally from Mumbai India which is where I was born
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Mumbai India which is where I was born
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Mumbai India which is where I was born in raised I actually started my career
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in raised I actually started my career
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in raised I actually started my career as an engineer working on C so I was um
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as an engineer working on C so I was um
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as an engineer working on C so I was um working in sports Technologies Games Etc
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working in sports Technologies Games Etc
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working in sports Technologies Games Etc helping build AR VR apps mobile apps
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helping build AR VR apps mobile apps
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helping build AR VR apps mobile apps before moving to product management in
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before moving to product management in
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before moving to product management in 2019 so yeah that's a quick summary
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2019 so yeah that's a quick summary
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2019 so yeah that's a quick summary about
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me okay enough about me let's talk about
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me okay enough about me let's talk about
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me okay enough about me let's talk about what is mongodb and what is mongodb
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what is mongodb and what is mongodb
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what is mongodb and what is mongodb atlas for those of you who may not be
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atlas for those of you who may not be
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atlas for those of you who may not be aware with
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aware with
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aware with it so firstly Mong DB is a document
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it so firstly Mong DB is a document
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it so firstly Mong DB is a document database so it's similar to a key Value
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database so it's similar to a key Value
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database so it's similar to a key Value Store however it supports a wide variety
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Store however it supports a wide variety
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Store however it supports a wide variety of data types including strings arrays
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of data types including strings arrays
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of data types including strings arrays objects making it more versatile unlike
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objects making it more versatile unlike
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objects making it more versatile unlike traditional relational databases which
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traditional relational databases which
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traditional relational databases which store data in tables rows and columns
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store data in tables rows and columns
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store data in tables rows and columns mongodb uses Bon which is binary Json um
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mongodb uses Bon which is binary Json um
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mongodb uses Bon which is binary Json um the document oriented approach allows
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the document oriented approach allows
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the document oriented approach allows for a more natural and expressive way to
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for a more natural and expressive way to
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for a more natural and expressive way to store data and can easily accommodate
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store data and can easily accommodate
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store data and can easily accommodate hierarchical relationships and array
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hierarchical relationships and array
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hierarchical relationships and array based data as well
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based data as well
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based data as well mongodb is designed to meet the needs of
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mongodb is designed to meet the needs of
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mongodb is designed to meet the needs of different audiences so if you're looking
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different audiences so if you're looking
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different audiences so if you're looking for a personal project you can use it or
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for a personal project you can use it or
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for a personal project you can use it or if you're looking to build Enterprise
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if you're looking to build Enterprise
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if you're looking to build Enterprise grade applications in different
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grade applications in different
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grade applications in different Industries like healthcare Retail
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Industries like healthcare Retail
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Industries like healthcare Retail Finance Etc you can do so um using
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Finance Etc you can do so um using
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Finance Etc you can do so um using mongodb one of the key features mongodb
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mongodb one of the key features mongodb
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mongodb one of the key features mongodb has is its flexible schema so unlike
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has is its flexible schema so unlike
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has is its flexible schema so unlike relational databases that require you to
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relational databases that require you to
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relational databases that require you to define a schema before storing or
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define a schema before storing or
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define a schema before storing or inserting the data mongodb allows you to
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inserting the data mongodb allows you to
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inserting the data mongodb allows you to store documents without prior definition
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store documents without prior definition
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store documents without prior definition of or a
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of or a
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of or a structure lastly mongod supports
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structure lastly mongod supports
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structure lastly mongod supports horizontal scaling so it does so through
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horizontal scaling so it does so through
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horizontal scaling so it does so through what is known as sharding so it allows
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what is known as sharding so it allows
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what is known as sharding so it allows you to distribute your data throughout a
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you to distribute your data throughout a
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you to distribute your data throughout a cluster of machines this approach can
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cluster of machines this approach can
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cluster of machines this approach can improve performance and allows the
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improve performance and allows the
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improve performance and allows the database to grow exponentially as the
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database to grow exponentially as the
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database to grow exponentially as the users needs are growing and makes it
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users needs are growing and makes it
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users needs are growing and makes it suitable for applications which require
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suitable for applications which require
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suitable for applications which require large data sets or high throughput
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requirements okay so you know what
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requirements okay so you know what
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requirements okay so you know what mongodb is what is mongodb atlas um
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mongodb is what is mongodb atlas um
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mongodb is what is mongodb atlas um mongodb Atlas is a fully managed Cloud
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mongodb Atlas is a fully managed Cloud
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mongodb Atlas is a fully managed Cloud database that handles the complexity of
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database that handles the complexity of
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database that handles the complexity of deploying managing and healing your uh
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deploying managing and healing your uh
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deploying managing and healing your uh Cloud deployments on any cloud service
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Cloud deployments on any cloud service
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Cloud deployments on any cloud service provider of your
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provider of your
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provider of your choice it also offers sdks or drivers
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choice it also offers sdks or drivers
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choice it also offers sdks or drivers which facilitate the development of
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which facilitate the development of
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which facilitate the development of applications across a range of devices
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applications across a range of devices
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applications across a range of devices so these help you developers integrate
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so these help you developers integrate
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so these help you developers integrate um it mongodb Atlas into your
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um it mongodb Atlas into your
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um it mongodb Atlas into your application allowing for seamless data
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application allowing for seamless data
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application allowing for seamless data synchronization and manipulation um and
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synchronization and manipulation um and
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synchronization and manipulation um and it works across different devices or
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it works across different devices or
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it works across different devices or different platforms such as mobile and
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different platforms such as mobile and
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different platforms such as mobile and iot we also have charts so charts is a
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iot we also have charts so charts is a
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iot we also have charts so charts is a feature which allows you to uh create
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feature which allows you to uh create
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feature which allows you to uh create visual representations of your data
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visual representations of your data
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visual representations of your data stored in mongodb so you don't have to
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stored in mongodb so you don't have to
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stored in mongodb so you don't have to go to any third party tool it's fully
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go to any third party tool it's fully
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go to any third party tool it's fully integrated into the platform and you can
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integrated into the platform and you can
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integrated into the platform and you can generate charts graphs for data analysis
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generate charts graphs for data analysis
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generate charts graphs for data analysis and Reporting without any need for third
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and Reporting without any need for third
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and Reporting without any need for third party
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party
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party tools we also have analytics so
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tools we also have analytics so
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tools we also have analytics so analytics allows you to perform complex
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analytics allows you to perform complex
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analytics allows you to perform complex queries and aggregate operation s for
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queries and aggregate operation s for
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queries and aggregate operation s for your data and it's optimized for
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your data and it's optimized for
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your data and it's optimized for performance and scale so you can make it
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performance and scale so you can make it
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performance and scale so you can make it makes it easier for your organization to
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makes it easier for your organization to
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makes it easier for your organization to gain insights on large volumes of data
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gain insights on large volumes of data
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gain insights on large volumes of data um in real
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um in real
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um in real time and lastly we also have search so
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time and lastly we also have search so
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time and lastly we also have search so Atlas search is a fully uh built-in teex
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Atlas search is a fully uh built-in teex
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Atlas search is a fully uh built-in teex search capability engine which is built
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search capability engine which is built
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search capability engine which is built on Apachi Lucine um it helps you perform
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on Apachi Lucine um it helps you perform
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on Apachi Lucine um it helps you perform Rich teex search queries um without the
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Rich teex search queries um without the
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Rich teex search queries um without the need for a separate Plugin or an engine
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need for a separate Plugin or an engine
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need for a separate Plugin or an engine so this integrated solution helps you
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so this integrated solution helps you
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so this integrated solution helps you build search into your application by
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build search into your application by
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build search into your application by using mongodb
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Atlas Okay so we've heard what mongodb
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Atlas Okay so we've heard what mongodb
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Atlas Okay so we've heard what mongodb is what mongodb Atlas is now I want to
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is what mongodb Atlas is now I want to
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is what mongodb Atlas is now I want to touch on what is Entity framework core
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touch on what is Entity framework core
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touch on what is Entity framework core or EF
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or EF
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or EF core so EF core is the most popular
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core so EF core is the most popular
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core so EF core is the most popular object relational mapper or or in the
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object relational mapper or or in the
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object relational mapper or or in the net ecosystem since it was introduced in
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net ecosystem since it was introduced in
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net ecosystem since it was introduced in 2019 it has really become the orm of
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2019 it has really become the orm of
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2019 it has really become the orm of choice for C developers and has widely
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choice for C developers and has widely
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choice for C developers and has widely gained popularity across these years um
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gained popularity across these years um
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gained popularity across these years um efcore is compatible with different
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efcore is compatible with different
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efcore is compatible with different databases and it can do so through
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databases and it can do so through
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databases and it can do so through plug-in libraries called database
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plug-in libraries called database
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plug-in libraries called database providers so you can switch between
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providers so you can switch between
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providers so you can switch between different database providers by uh
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different database providers by uh
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different database providers by uh switching the Plug-In or the provider in
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switching the Plug-In or the provider in
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switching the Plug-In or the provider in your application this should not be
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your application this should not be
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your application this should not be considered a dropin replacement though
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considered a dropin replacement though
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considered a dropin replacement though because each provider might work
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because each provider might work
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because each provider might work slightly
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slightly
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slightly differently EF core also uses a language
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differently EF core also uses a language
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differently EF core also uses a language integrated query or link syntax which
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integrated query or link syntax which
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integrated query or link syntax which allows you to use C to write strongly
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allows you to use C to write strongly
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allows you to use C to write strongly typed query
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typed query
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typed query and the main reason why efcore is so
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and the main reason why efcore is so
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and the main reason why efcore is so popular is because of its ease of use
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popular is because of its ease of use
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popular is because of its ease of use and the wide range of capabilities which
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and the wide range of capabilities which
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and the wide range of capabilities which include entity splitting lazy loading
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include entity splitting lazy loading
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include entity splitting lazy loading custom conventions Etc among many
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others okay so why is all of this
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others okay so why is all of this
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others okay so why is all of this important I want to quickly touch on
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important I want to quickly touch on
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important I want to quickly touch on some of the numbers here which are taken
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some of the numbers here which are taken
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some of the numbers here which are taken from recent surveys public surveys um
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from recent surveys public surveys um
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from recent surveys public surveys um one thing that we noticed is 39% of C
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one thing that we noticed is 39% of C
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one thing that we noticed is 39% of C developers said that they have used efco
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developers said that they have used efco
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developers said that they have used efco in some capacity so they're familiar
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in some capacity so they're familiar
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in some capacity so they're familiar with it it's one of the most popular
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with it it's one of the most popular
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with it it's one of the most popular Technologies in the net
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Technologies in the net
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Technologies in the net ecosystem um mongodb was also the number
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ecosystem um mongodb was also the number
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ecosystem um mongodb was also the number one nosql database for cop developers
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one nosql database for cop developers
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one nosql database for cop developers and a lot of developers who have not
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and a lot of developers who have not
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and a lot of developers who have not used mongodb or are not familiar with it
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used mongodb or are not familiar with it
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used mongodb or are not familiar with it did in say that they want to try it
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did in say that they want to try it
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did in say that they want to try it out so when you put all of this together
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out so when you put all of this together
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out so when you put all of this together um we started to collaborate with the
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um we started to collaborate with the
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um we started to collaborate with the team at Microsoft and one of the most
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team at Microsoft and one of the most
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team at Microsoft and one of the most requested features for efcore was a
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requested features for efcore was a
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requested features for efcore was a mongodb efcore provider but for us as
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mongodb efcore provider but for us as
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mongodb efcore provider but for us as well we got a lot of requests about
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well we got a lot of requests about
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well we got a lot of requests about having a provider that works with
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having a provider that works with
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having a provider that works with efcore so considering all the numbers
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efcore so considering all the numbers
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efcore so considering all the numbers and you know the requests that we had
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and you know the requests that we had
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and you know the requests that we had the mongod EF core provider comes into
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the mongod EF core provider comes into
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the mongod EF core provider comes into existence and it really helps bridge
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existence and it really helps bridge
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existence and it really helps bridge this Gap that we've just looked at so in
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this Gap that we've just looked at so in
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this Gap that we've just looked at so in the past C developers could use mongodb
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the past C developers could use mongodb
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the past C developers could use mongodb C driver but it didn't have first party
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C driver but it didn't have first party
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C driver but it didn't have first party support for EF core so this meant a lack
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support for EF core so this meant a lack
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support for EF core so this meant a lack of official support or backing um for
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of official support or backing um for
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of official support or backing um for efcore if you were working with mongodb
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efcore if you were working with mongodb
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efcore if you were working with mongodb with the official mongodb provider now
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with the official mongodb provider now
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with the official mongodb provider now generally available since May this year
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generally available since May this year
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generally available since May this year um you can confidently use C and EF core
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um you can confidently use C and EF core
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um you can confidently use C and EF core when you're building for production
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when you're building for production
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when you're building for production grade workloads with mongodb and EF core
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grade workloads with mongodb and EF core
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grade workloads with mongodb and EF core and like I said we've been collaborating
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and like I said we've been collaborating
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and like I said we've been collaborating with the Microsoft team to bring this
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with the Microsoft team to bring this
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with the Microsoft team to bring this provider to life um and we're happy that
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provider to life um and we're happy that
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provider to life um and we're happy that we launched it and we are going to
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we launched it and we are going to
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we launched it and we are going to evolve it with newer capabilities as we
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progress now what are the benefits of
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progress now what are the benefits of
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progress now what are the benefits of the mongod BF Cod provider the first one
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the mongod BF Cod provider the first one
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the mongod BF Cod provider the first one is it allows you to leverage familiar
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is it allows you to leverage familiar
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is it allows you to leverage familiar apis query paradigms like link and
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apis query paradigms like link and
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apis query paradigms like link and design patterns the second most
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design patterns the second most
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design patterns the second most important thing is there is no Cloud
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important thing is there is no Cloud
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important thing is there is no Cloud vendor lock in now what this means is if
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vendor lock in now what this means is if
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vendor lock in now what this means is if you're using mongodb Atlas you can use
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you're using mongodb Atlas you can use
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you're using mongodb Atlas you can use the cloud provider of your choice be it
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the cloud provider of your choice be it
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the cloud provider of your choice be it Azure AWS or
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Azure AWS or
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Azure AWS or gcp um and since the EF core provider is
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gcp um and since the EF core provider is
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gcp um and since the EF core provider is built on top of uh the C driver which is
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built on top of uh the C driver which is
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built on top of uh the C driver which is architectural choice that we made it
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architectural choice that we made it
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architectural choice that we made it allows you to use capabilities that the
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allows you to use capabilities that the
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allows you to use capabilities that the C driver exposes which might not be
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C driver exposes which might not be
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C driver exposes which might not be available in EF Cod like Atlas search
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available in EF Cod like Atlas search
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available in EF Cod like Atlas search Atlas Vector search for AI applications
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Atlas Vector search for AI applications
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Atlas Vector search for AI applications which I'll touch on a little bit later
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which I'll touch on a little bit later
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which I'll touch on a little bit later and index management and other admin
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and index management and other admin
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and index management and other admin type
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capabilities okay all right so now let's
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capabilities okay all right so now let's
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capabilities okay all right so now let's take a look at a quick demo about how we
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take a look at a quick demo about how we
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take a look at a quick demo about how we can set up EF core to use with mongodb
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can set up EF core to use with mongodb
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can set up EF core to use with mongodb Atlas and how we can perform basic crud
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Atlas and how we can perform basic crud
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Atlas and how we can perform basic crud operations and then also show a glimpse
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operations and then also show a glimpse
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operations and then also show a glimpse of the index management capability that
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of the index management capability that
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of the index management capability that just spoke about so hope everyone's
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just spoke about so hope everyone's
8:01
just spoke about so hope everyone's excited to look at
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this okay I'm going to be looking at my
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this okay I'm going to be looking at my
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this okay I'm going to be looking at my other monitor but what you see on the
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other monitor but what you see on the
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other monitor but what you see on the right hand side here is um madp compass
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right hand side here is um madp compass
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right hand side here is um madp compass and it's essentially the GUI for working
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and it's essentially the GUI for working
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and it's essentially the GUI for working with mongodb it's a desktop app and on
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with mongodb it's a desktop app and on
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with mongodb it's a desktop app and on the left is just a terminal so we'll be
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the left is just a terminal so we'll be
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the left is just a terminal so we'll be working with a basic.net console
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working with a basic.net console
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working with a basic.net console application in this example
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so if you want to add the EF code
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so if you want to add the EF code
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so if you want to add the EF code provider to a basic project all you need
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provider to a basic project all you need
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provider to a basic project all you need to do is use the net ad package command
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to do is use the net ad package command
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to do is use the net ad package command um and it will add the EF code provider
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um and it will add the EF code provider
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um and it will add the EF code provider to your project along with any
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to your project along with any
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to your project along with any dependencies needed now we switch over
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dependencies needed now we switch over
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dependencies needed now we switch over to our basic you know console
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to our basic you know console
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to our basic you know console application and this is what you would
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application and this is what you would
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application and this is what you would do in your program.cs file for
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do in your program.cs file for
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do in your program.cs file for connecting to any database so you just
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connecting to any database so you just
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connecting to any database so you just create a client you have the database
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create a client you have the database
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create a client you have the database itself and then the important thing here
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itself and then the important thing here
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itself and then the important thing here for EF core is the DB context so you see
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for EF core is the DB context so you see
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for EF core is the DB context so you see here we have our own DB contacts called
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here we have our own DB contacts called
9:00
here we have our own DB contacts called movies DB contacts because in this
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movies DB contacts because in this
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movies DB contacts because in this example we're using um sample data set
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example we're using um sample data set
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example we're using um sample data set which is available with that list so we
9:07
which is available with that list so we
9:07
which is available with that list so we using the sample movies collection um if
9:09
using the sample movies collection um if
9:09
using the sample movies collection um if you get started with that list on the
9:11
you get started with that list on the
9:11
you get started with that list on the free tier you have access to all the
9:12
free tier you have access to all the
9:12
free tier you have access to all the sample data that you need um now we'll
9:16
sample data that you need um now we'll
9:16
sample data that you need um now we'll go into the create function itself so we
9:18
go into the create function itself so we
9:18
go into the create function itself so we were looking at the program.cs file now
9:20
were looking at the program.cs file now
9:20
were looking at the program.cs file now we looking at the movies DB context file
9:23
we looking at the movies DB context file
9:23
we looking at the movies DB context file so you'll see that it inher inherits
9:25
so you'll see that it inher inherits
9:25
so you'll see that it inher inherits from DB context which is available with
9:27
from DB context which is available with
9:27
from DB context which is available with the EF core package
9:29
the EF core package
9:29
the EF core package um and we have our own create function
9:32
um and we have our own create function
9:32
um and we have our own create function here um which takes in the database now
9:35
here um which takes in the database now
9:35
here um which takes in the database now all you need to do to connect to Atlas
9:38
all you need to do to connect to Atlas
9:38
all you need to do to connect to Atlas is use the function called use mongod DP
9:42
is use the function called use mongod DP
9:42
is use the function called use mongod DP on your DB context options Builder and
9:45
on your DB context options Builder and
9:45
on your DB context options Builder and it takes in the database object with the
9:47
it takes in the database object with the
9:47
it takes in the database object with the database client and the database name
9:50
database client and the database name
9:50
database client and the database name once you do that that's pretty much it
9:53
once you do that that's pretty much it
9:53
once you do that that's pretty much it for connecting to Atlas the only other
9:56
for connecting to Atlas the only other
9:56
for connecting to Atlas the only other thing worth mentioning here is we also
9:58
thing worth mentioning here is we also
9:58
thing worth mentioning here is we also have the Constructor which is the
10:01
have the Constructor which is the
10:01
have the Constructor which is the default one and we just in it from the
10:04
default one and we just in it from the
10:04
default one and we just in it from the base now the other thing that we'll be
10:06
base now the other thing that we'll be
10:06
base now the other thing that we'll be doing here is defining the DB set so we
10:08
doing here is defining the DB set so we
10:09
doing here is defining the DB set so we have our own entity called movies and we
10:11
have our own entity called movies and we
10:11
have our own entity called movies and we need to Define that we're using a DB set
10:14
need to Define that we're using a DB set
10:14
need to Define that we're using a DB set called movies um and we look at the
10:16
called movies um and we look at the
10:16
called movies um and we look at the model class quickly um but you just have
10:18
model class quickly um but you just have
10:18
model class quickly um but you just have to Define it here in your DB
10:22
context let's look at the movies um
10:26
context let's look at the movies um
10:26
context let's look at the movies um model class so you'll see here we have
10:28
model class so you'll see here we have
10:28
model class so you'll see here we have different fields defined uh in our model
10:30
different fields defined uh in our model
10:30
different fields defined uh in our model class called ID title year plot rated
10:33
class called ID title year plot rated
10:33
class called ID title year plot rated Etc we also have up top an attribute
10:36
Etc we also have up top an attribute
10:36
Etc we also have up top an attribute which is a collections attribute so the
10:39
which is a collections attribute so the
10:39
which is a collections attribute so the thing highlighted on top what it does is
10:41
thing highlighted on top what it does is
10:41
thing highlighted on top what it does is it tells uh the efcore provider that
10:45
it tells uh the efcore provider that
10:45
it tells uh the efcore provider that we're going to be mapping our movies DB
10:47
we're going to be mapping our movies DB
10:47
we're going to be mapping our movies DB side of movies entities into a
10:49
side of movies entities into a
10:49
side of movies entities into a collection similar to a table in a SQL
10:51
collection similar to a table in a SQL
10:51
collection similar to a table in a SQL database and all the names here are not
10:55
database and all the names here are not
10:55
database and all the names here are not shown but they are defined in a constant
10:57
shown but they are defined in a constant
10:57
shown but they are defined in a constant file here so be the collection name the
10:59
file here so be the collection name the
10:59
file here so be the collection name the name of the database the connection
11:01
name of the database the connection
11:01
name of the database the connection string you can do so directly as well
11:03
string you can do so directly as well
11:03
string you can do so directly as well but just for the sake of this demo we've
11:05
but just for the sake of this demo we've
11:05
but just for the sake of this demo we've put it in a constants
11:10
file the other important thing to note
11:13
file the other important thing to note
11:13
file the other important thing to note here is if you see the movie's um model
11:17
here is if you see the movie's um model
11:17
here is if you see the movie's um model class everything here is in Pascal case
11:21
class everything here is in Pascal case
11:21
class everything here is in Pascal case um and all the fields in the database
11:23
um and all the fields in the database
11:23
um and all the fields in the database initially when we were looking at
11:24
initially when we were looking at
11:24
initially when we were looking at Compass you'll notice here are in camel
11:27
Compass you'll notice here are in camel
11:27
Compass you'll notice here are in camel case so now what we can do is um create
11:32
case so now what we can do is um create
11:32
case so now what we can do is um create configure our conventions so what that
11:34
configure our conventions so what that
11:34
configure our conventions so what that does we're going to uncomment this part
11:38
does we're going to uncomment this part
11:38
does we're going to uncomment this part what what this does is it tells the EF
11:40
what what this does is it tells the EF
11:40
what what this does is it tells the EF core provider that we're going to be
11:42
core provider that we're going to be
11:42
core provider that we're going to be using the camel case convention um which
11:45
using the camel case convention um which
11:45
using the camel case convention um which allows to map the fields in the database
11:47
allows to map the fields in the database
11:47
allows to map the fields in the database to the model class so for each and every
11:50
to the model class so for each and every
11:50
to the model class so for each and every field we don't need to do anything
11:51
field we don't need to do anything
11:51
field we don't need to do anything explicitly again and again um we just
11:54
explicitly again and again um we just
11:54
explicitly again and again um we just need to do this once and this mapping
11:55
need to do this once and this mapping
11:55
need to do this once and this mapping will be taken care of by the efo
11:57
will be taken care of by the efo
11:57
will be taken care of by the efo provider
12:00
provider
12:00
provider so we just make sure we have the
12:02
so we just make sure we have the
12:02
so we just make sure we have the conventions added we Define the
12:04
conventions added we Define the
12:04
conventions added we Define the convention and that's pretty much
12:09
it so going back to our program.cs file
12:12
it so going back to our program.cs file
12:12
it so going back to our program.cs file now we're going to do a basic read so we
12:14
now we're going to do a basic read so we
12:15
now we're going to do a basic read so we have a lot of movies in our database um
12:17
have a lot of movies in our database um
12:17
have a lot of movies in our database um what I think around
12:18
what I think around
12:19
what I think around 20,000 what we're going to do is we're
12:21
20,000 what we're going to do is we're
12:21
20,000 what we're going to do is we're going to like write a query we using
12:24
going to like write a query we using
12:24
going to like write a query we using link here so we just doing db. movies.
12:27
link here so we just doing db. movies.
12:27
link here so we just doing db. movies. where and we're going to find mov mov
12:29
where and we're going to find mov mov
12:29
where and we're going to find mov mov from the comedy genre we will find
12:31
from the comedy genre we will find
12:32
from the comedy genre we will find movies that start with an A and we order
12:34
movies that start with an A and we order
12:34
movies that start with an A and we order by descending with the year field and
12:37
by descending with the year field and
12:37
by descending with the year field and once we have our results we're going to
12:40
once we have our results we're going to
12:40
once we have our results we're going to take the first five results and then try
12:42
take the first five results and then try
12:42
take the first five results and then try to print them um and in the movies class
12:44
to print them um and in the movies class
12:44
to print them um and in the movies class itself we had a two string function I
12:51
think which allows you
12:54
think which allows you
12:54
think which allows you to just print print the
12:57
to just print print the
12:57
to just print print the movies then we go okay didn't want to go
13:00
movies then we go okay didn't want to go
13:00
movies then we go okay didn't want to go into too much detail there but just in
13:02
into too much detail there but just in
13:02
into too much detail there but just in case anyone wonders how is this being
13:04
case anyone wonders how is this being
13:04
case anyone wonders how is this being logged um so now we're going to just run
13:06
logged um so now we're going to just run
13:06
logged um so now we're going to just run this project let's see if we get our
13:08
this project let's see if we get our
13:08
this project let's see if we get our movies
13:14
back okay perfect so you can see here in
13:17
back okay perfect so you can see here in
13:17
back okay perfect so you can see here in the log um we got our five movies a
13:20
the log um we got our five movies a
13:20
the log um we got our five movies a movie can have multiple genres so we
13:22
movie can have multiple genres so we
13:22
movie can have multiple genres so we asked for comedy movie so we have all
13:25
asked for comedy movie so we have all
13:25
asked for comedy movie so we have all the movies that have the genre as comedy
13:27
the movies that have the genre as comedy
13:27
the movies that have the genre as comedy they start with an a um they are ordered
13:31
they start with an a um they are ordered
13:31
they start with an a um they are ordered in descending order by the year and we
13:33
in descending order by the year and we
13:33
in descending order by the year and we also have some awards or nominations
13:35
also have some awards or nominations
13:35
also have some awards or nominations listed here so this is helpful but what
13:37
listed here so this is helpful but what
13:37
listed here so this is helpful but what if you want to see more logs what if you
13:39
if you want to see more logs what if you
13:39
if you want to see more logs what if you want to see what's happening behind the
13:41
want to see what's happening behind the
13:41
want to see what's happening behind the scenes with the provider and um how is
13:44
scenes with the provider and um how is
13:44
scenes with the provider and um how is it communicating with mongodb so if you
13:46
it communicating with mongodb so if you
13:46
it communicating with mongodb so if you want to do that we go back to our DB
13:48
want to do that we go back to our DB
13:49
want to do that we go back to our DB context class we can enable logging here
13:52
context class we can enable logging here
13:52
context class we can enable logging here which is a pretty cool feature and you
13:54
which is a pretty cool feature and you
13:54
which is a pretty cool feature and you can use any logger but be using just
13:56
can use any logger but be using just
13:56
can use any logger but be using just console. rightline and you have to
13:58
console. rightline and you have to
13:58
console. rightline and you have to enable sensitive data logging just in
14:00
enable sensitive data logging just in
14:00
enable sensitive data logging just in case there's any PI because this will be
14:02
case there's any PI because this will be
14:02
case there's any PI because this will be logged into the console once we do that
14:05
logged into the console once we do that
14:05
logged into the console once we do that let's just save and then rerun our
14:08
let's just save and then rerun our
14:08
let's just save and then rerun our program and what we'll see here is we do
14:11
program and what we'll see here is we do
14:11
program and what we'll see here is we do set see the results um for what we
14:13
set see the results um for what we
14:13
set see the results um for what we wanted but we see much more details than
14:15
wanted but we see much more details than
14:15
wanted but we see much more details than we saw before and I'll show one more
14:18
we saw before and I'll show one more
14:18
we saw before and I'll show one more interesting
14:21
thing so we see a lot of logs we just
14:24
thing so we see a lot of logs we just
14:24
thing so we see a lot of logs we just browsing through it and you can see all
14:27
browsing through it and you can see all
14:27
browsing through it and you can see all the communication and all the logs uh
14:29
the communication and all the logs uh
14:29
the communication and all the logs uh being seen in the console and you see
14:31
being seen in the console and you see
14:31
being seen in the console and you see this sample. mflix movies. agregate the
14:34
this sample. mflix movies. agregate the
14:34
this sample. mflix movies. agregate the highlighted line here what is it doing
14:37
highlighted line here what is it doing
14:37
highlighted line here what is it doing so this is actually the query that is
14:39
so this is actually the query that is
14:39
so this is actually the query that is being sent to the server So based on the
14:41
being sent to the server So based on the
14:41
being sent to the server So based on the link query that we wrote in our uh
14:44
link query that we wrote in our uh
14:44
link query that we wrote in our uh program.cs file you'll see we have a
14:46
program.cs file you'll see we have a
14:46
program.cs file you'll see we have a match stage which matches the genre the
14:48
match stage which matches the genre the
14:48
match stage which matches the genre the title starting with an a we have a sort
14:52
title starting with an a we have a sort
14:52
title starting with an a we have a sort with the year field in descending order
14:54
with the year field in descending order
14:54
with the year field in descending order we have a limit to take the first five
14:56
we have a limit to take the first five
14:56
we have a limit to take the first five results and it's essentially converting
14:58
results and it's essentially converting
14:58
results and it's essentially converting it to an aggregate pipeline so you have
15:00
it to an aggregate pipeline so you have
15:00
it to an aggregate pipeline so you have a clear view of the executed uh mql with
15:03
a clear view of the executed uh mql with
15:03
a clear view of the executed uh mql with the server so that's pretty neat you can
15:05
the server so that's pretty neat you can
15:05
the server so that's pretty neat you can see what queries being sent to the
15:08
see what queries being sent to the
15:08
see what queries being sent to the server okay so now we've seen how basic
15:12
server okay so now we've seen how basic
15:12
server okay so now we've seen how basic query Works let's take a look at how we
15:15
query Works let's take a look at how we
15:15
query Works let's take a look at how we can use the index management feature I
15:17
can use the index management feature I
15:17
can use the index management feature I just spoke about so what we're doing
15:20
just spoke about so what we're doing
15:20
just spoke about so what we're doing here is we're leveraging the
15:21
here is we're leveraging the
15:22
here is we're leveraging the capabilities of the driver um I
15:23
capabilities of the driver um I
15:23
capabilities of the driver um I mentioned that you know the EF code
15:25
mentioned that you know the EF code
15:25
mentioned that you know the EF code provider is built on top of the driver
15:27
provider is built on top of the driver
15:27
provider is built on top of the driver so we are reusing the database or the
15:29
so we are reusing the database or the
15:29
so we are reusing the database or the client here um that we defined
15:32
client here um that we defined
15:32
client here um that we defined initially and we're just defining the
15:36
initially and we're just defining the
15:36
initially and we're just defining the convention here again which I'll explain
15:38
convention here again which I'll explain
15:38
convention here again which I'll explain why and we're creating a movies in a new
15:41
why and we're creating a movies in a new
15:41
why and we're creating a movies in a new index here on the title and genres field
15:44
index here on the title and genres field
15:44
index here on the title and genres field so we are working with the title and
15:46
so we are working with the title and
15:46
so we are working with the title and genres field in our query I want my
15:48
genres field in our query I want my
15:48
genres field in our query I want my query to be optimized so I need to
15:49
query to be optimized so I need to
15:49
query to be optimized so I need to create an index for it so this is just
15:52
create an index for it so this is just
15:52
create an index for it so this is just the driver code to create the index and
15:54
the driver code to create the index and
15:54
the driver code to create the index and you you'll see here create one async and
15:57
you you'll see here create one async and
15:57
you you'll see here create one async and this takes in the movies and definition
15:59
this takes in the movies and definition
15:59
this takes in the movies and definition that you want to create it's a compound
16:01
that you want to create it's a compound
16:01
that you want to create it's a compound index and we're doing it in ascending
16:03
index and we're doing it in ascending
16:03
index and we're doing it in ascending order for the title and gen field coming
16:06
order for the title and gen field coming
16:06
order for the title and gen field coming back to the convention like why are we
16:08
back to the convention like why are we
16:08
back to the convention like why are we defining the convention again when we
16:10
defining the convention again when we
16:10
defining the convention again when we defined it already um in the DB context
16:13
defined it already um in the DB context
16:13
defined it already um in the DB context so the important thing to note here is
16:16
so the important thing to note here is
16:16
so the important thing to note here is that this is for the driver so the efco
16:18
that this is for the driver so the efco
16:18
that this is for the driver so the efco provider has its own data mapping for
16:21
provider has its own data mapping for
16:21
provider has its own data mapping for the model and that's why we need to do
16:23
the model and that's why we need to do
16:23
the model and that's why we need to do it for the EF Cod provider separately in
16:26
it for the EF Cod provider separately in
16:26
it for the EF Cod provider separately in the DB context but if we're using any of
16:29
the DB context but if we're using any of
16:29
the DB context but if we're using any of the capabilities of the C driver then we
16:31
the capabilities of the C driver then we
16:31
the capabilities of the C driver then we need to do it for the driver as well but
16:34
need to do it for the driver as well but
16:34
need to do it for the driver as well but you only need to do it once so now we've
16:36
you only need to do it once so now we've
16:36
you only need to do it once so now we've done
16:38
done
16:38
done that just to make sure that we're going
16:41
that just to make sure that we're going
16:41
that just to make sure that we're going to call that a task here and then just
16:43
to call that a task here and then just
16:43
to call that a task here and then just to make sure that the indexes are
16:45
to make sure that the indexes are
16:45
to make sure that the indexes are actually created we'll go in and check
16:47
actually created we'll go in and check
16:47
actually created we'll go in and check does this index exist already or what
16:49
does this index exist already or what
16:49
does this index exist already or what indexes exist so going back to Compass I
16:52
indexes exist so going back to Compass I
16:52
indexes exist so going back to Compass I see that there's an ID index which is
16:55
see that there's an ID index which is
16:55
see that there's an ID index which is created by default and then there's a
16:56
created by default and then there's a
16:56
created by default and then there's a separate index I would have created
16:58
separate index I would have created
16:58
separate index I would have created before on the plot field but not what we
17:00
before on the plot field but not what we
17:00
before on the plot field but not what we want um for the title and genres so
17:03
want um for the title and genres so
17:03
want um for the title and genres so let's run this
17:09
program we have not
17:12
program we have not
17:12
program we have not uh
17:14
uh
17:14
uh G
17:16
G
17:16
G any by looking at Compass
17:22
again okay we're going to do a
17:25
again okay we're going to do a
17:25
again okay we're going to do a refresh perfect we see titlecore onecore
17:29
refresh perfect we see titlecore onecore
17:29
refresh perfect we see titlecore onecore genres _ one so it did create an index
17:31
genres _ one so it did create an index
17:31
genres _ one so it did create an index for us and you can also see the title
17:33
for us and you can also see the title
17:33
for us and you can also see the title and genres field here with an up Arrow
17:36
and genres field here with an up Arrow
17:36
and genres field here with an up Arrow because we wanted it in ascending order
17:38
because we wanted it in ascending order
17:38
because we wanted it in ascending order and like the intended it is a compound
17:40
and like the intended it is a compound
17:40
and like the intended it is a compound index so awesome we have like optimized
17:42
index so awesome we have like optimized
17:42
index so awesome we have like optimized queries now with the field that we
17:46
queries now with the field that we
17:46
queries now with the field that we needed cool okay so what we're going to
17:49
needed cool okay so what we're going to
17:49
needed cool okay so what we're going to look at next is a full crud and change
17:52
look at next is a full crud and change
17:52
look at next is a full crud and change tracking example so one of the things I
17:55
tracking example so one of the things I
17:55
tracking example so one of the things I mentioned initially was mongod supports
17:57
mentioned initially was mongod supports
17:57
mentioned initially was mongod supports a flexible schema so with the database
18:00
a flexible schema so with the database
18:00
a flexible schema so with the database there may be fields that you have not
18:02
there may be fields that you have not
18:02
there may be fields that you have not defined before um so in this case we are
18:04
defined before um so in this case we are
18:04
defined before um so in this case we are defining a new field on the fly in our
18:06
defining a new field on the fly in our
18:07
defining a new field on the fly in our model class called the book was better
18:09
model class called the book was better
18:09
model class called the book was better and this field does not exist for any uh
18:12
and this field does not exist for any uh
18:12
and this field does not exist for any uh document in the database so we're going
18:15
document in the database so we're going
18:15
document in the database so we're going to create a new movie entity we're going
18:17
to create a new movie entity we're going
18:17
to create a new movie entity we're going to set this field and then we're going
18:18
to set this field and then we're going
18:18
to set this field and then we're going to update few properties and then delete
18:21
to update few properties and then delete
18:21
to update few properties and then delete it and we'll see the whole life cycle
18:23
it and we'll see the whole life cycle
18:23
it and we'll see the whole life cycle with breakpoints so firstly let's create
18:26
with breakpoints so firstly let's create
18:26
with breakpoints so firstly let's create a new movie called mongodb the movie for
18:29
a new movie called mongodb the movie for
18:29
a new movie called mongodb the movie for 2023 we have a plot uh lucky little
18:33
2023 we have a plot uh lucky little
18:33
2023 we have a plot uh lucky little database revolutionizes software
18:34
database revolutionizes software
18:34
database revolutionizes software development it is a documentary um and
18:37
development it is a documentary um and
18:37
development it is a documentary um and we're going to set the book was better
18:38
we're going to set the book was better
18:38
we're going to set the book was better field to true but just to make sure that
18:41
field to true but just to make sure that
18:41
field to true but just to make sure that this actually works we're going to go
18:43
this actually works we're going to go
18:43
this actually works we're going to go back to Compass and we're going to
18:45
back to Compass and we're going to
18:45
back to Compass and we're going to search for this field the book was
18:47
search for this field the book was
18:47
search for this field the book was better and see if there's any document
18:49
better and see if there's any document
18:49
better and see if there's any document that has this field present and once we
18:52
that has this field present and once we
18:52
that has this field present and once we do a fine you'll see that there is no
18:56
do a fine you'll see that there is no
18:56
do a fine you'll see that there is no document with this field so we can
18:57
document with this field so we can
18:57
document with this field so we can confirm that this does not exist in the
19:01
confirm that this does not exist in the
19:01
confirm that this does not exist in the database um and like I said you have to
19:04
database um and like I said you have to
19:04
database um and like I said you have to call Save changes or save changes async
19:06
call Save changes or save changes async
19:06
call Save changes or save changes async so we're going to create a new entity
19:08
so we're going to create a new entity
19:08
so we're going to create a new entity add it to the DB set um save changes
19:11
add it to the DB set um save changes
19:11
add it to the DB set um save changes we're adding breakpoints so we can pause
19:13
we're adding breakpoints so we can pause
19:13
we're adding breakpoints so we can pause and see every step along the way how
19:15
and see every step along the way how
19:15
and see every step along the way how things are working um after we create
19:18
things are working um after we create
19:18
things are working um after we create the new movie entity we're going to
19:19
the new movie entity we're going to
19:19
the new movie entity we're going to update the year to 2024 from 2023 we are
19:23
update the year to 2024 from 2023 we are
19:23
update the year to 2024 from 2023 we are also going to add a genre so we know we
19:27
also going to add a genre so we know we
19:27
also going to add a genre so we know we only had documentary we're going to add
19:28
only had documentary we're going to add
19:28
only had documentary we're going to add true story as well and let's give our
19:30
true story as well and let's give our
19:30
true story as well and let's give our movie some awards cuz why not it
19:32
movie some awards cuz why not it
19:32
movie some awards cuz why not it deserves some awards and nominations um
19:35
deserves some awards and nominations um
19:35
deserves some awards and nominations um we do the save changes async again and
19:37
we do the save changes async again and
19:37
we do the save changes async again and then we finally remove the movie so
19:38
then we finally remove the movie so
19:38
then we finally remove the movie so let's see how this life cycle works we
19:40
let's see how this life cycle works we
19:40
let's see how this life cycle works we have our code ready for change tracking
19:42
have our code ready for change tracking
19:42
have our code ready for change tracking for a basic cred
19:44
for a basic cred
19:44
for a basic cred operations we run the program and then
19:47
operations we run the program and then
19:47
operations we run the program and then we wait for the break point to
19:52
hit okay awesome
19:58
all right so we're at the first
20:00
all right so we're at the first
20:00
all right so we're at the first breakpoint as you can see um let's like
20:03
breakpoint as you can see um let's like
20:03
breakpoint as you can see um let's like step over it step over the save changes
20:06
step over it step over the save changes
20:06
step over it step over the save changes one thing to note here is if you don't
20:08
one thing to note here is if you don't
20:08
one thing to note here is if you don't call Save changes or save changes Asing
20:10
call Save changes or save changes Asing
20:10
call Save changes or save changes Asing the changes are local standard GF core
20:12
the changes are local standard GF core
20:12
the changes are local standard GF core Behavior so you see the changes
20:14
Behavior so you see the changes
20:14
Behavior so you see the changes reflected in your database only if you
20:16
reflected in your database only if you
20:16
reflected in your database only if you actually call Save
20:18
actually call Save
20:18
actually call Save changes now at this point we've paused
20:21
changes now at this point we've paused
20:21
changes now at this point we've paused at you know new movie. here is 2024 so a
20:23
at you know new movie. here is 2024 so a
20:23
at you know new movie. here is 2024 so a new movie should have been added with
20:25
new movie should have been added with
20:25
new movie should have been added with this Fields let's go back to Compass and
20:27
this Fields let's go back to Compass and
20:27
this Fields let's go back to Compass and check that we do a find again with this
20:30
check that we do a find again with this
20:30
check that we do a find again with this field which just added to our movie
20:35
entity awesome okay so we did we did
20:39
entity awesome okay so we did we did
20:39
entity awesome okay so we did we did find our movie that was added so yeah
20:41
find our movie that was added so yeah
20:41
find our movie that was added so yeah congratulations um we can see that there
20:44
congratulations um we can see that there
20:44
congratulations um we can see that there it's a documentary we can see that the
20:46
it's a documentary we can see that the
20:46
it's a documentary we can see that the year is
20:47
year is
20:47
year is 2023 um and we can also see that the
20:52
2023 um and we can also see that the
20:52
2023 um and we can also see that the just go back a little
20:53
just go back a little
20:53
just go back a little bit yeah we can see the year we can see
20:56
bit yeah we can see the year we can see
20:57
bit yeah we can see the year we can see that there's no Awards um the book
20:58
that there's no Awards um the book
20:58
that there's no Awards um the book worlds better field is true which is
21:00
worlds better field is true which is
21:00
worlds better field is true which is what we were searching for so now we're
21:02
what we were searching for so now we're
21:02
what we were searching for so now we're going to go to the updates and step over
21:05
going to go to the updates and step over
21:05
going to go to the updates and step over the updates and see if they actually see
21:07
the updates and see if they actually see
21:07
the updates and see if they actually see get reflected in the
21:09
get reflected in the
21:09
get reflected in the database so we update the year add a
21:11
database so we update the year add a
21:11
database so we update the year add a genre add Awards and nominations save
21:14
genre add Awards and nominations save
21:14
genre add Awards and nominations save changes and then go back to Compass to
21:16
changes and then go back to Compass to
21:16
changes and then go back to Compass to see if it got updated so we just do a
21:18
see if it got updated so we just do a
21:18
see if it got updated so we just do a find again and yes um we'll expand on
21:21
find again and yes um we'll expand on
21:21
find again and yes um we'll expand on the genre so now there's two genres
21:24
the genre so now there's two genres
21:24
the genre so now there's two genres instead of one so you can have arrays
21:26
instead of one so you can have arrays
21:26
instead of one so you can have arrays nested objects inside it where on is an
21:29
nested objects inside it where on is an
21:29
nested objects inside it where on is an array and awards is the nested object so
21:32
array and awards is the nested object so
21:32
array and awards is the nested object so we have Awards and nominations yes for
21:34
we have Awards and nominations yes for
21:34
we have Awards and nominations yes for our movie now and the year is also 2024
21:38
our movie now and the year is also 2024
21:38
our movie now and the year is also 2024 um instead of
21:40
um instead of
21:40
um instead of 2023 and
21:42
2023 and
21:42
2023 and lastly let's remove the movie sadly and
21:45
lastly let's remove the movie sadly and
21:46
lastly let's remove the movie sadly and then save changes and then go find it
21:48
then save changes and then go find it
21:48
then save changes and then go find it again in the database and you can't find
21:52
again in the database and you can't find
21:52
again in the database and you can't find it anymore so all of the operations
21:54
it anymore so all of the operations
21:54
it anymore so all of the operations succeeded um we able to see how easy it
21:57
succeeded um we able to see how easy it
21:57
succeeded um we able to see how easy it is to set up the EF code provider how to
22:00
is to set up the EF code provider how to
22:00
is to set up the EF code provider how to perform change tracking and basic card
22:02
perform change tracking and basic card
22:02
perform change tracking and basic card operations with it and also how to use
22:04
operations with it and also how to use
22:04
operations with it and also how to use capabilities from the driver like index
22:06
capabilities from the driver like index
22:06
capabilities from the driver like index management by creating a new index and
22:08
management by creating a new index and
22:08
management by creating a new index and you can do much more um with that so the
22:12
you can do much more um with that so the
22:12
you can do much more um with that so the main thing to notice here is the only
22:15
main thing to notice here is the only
22:15
main thing to notice here is the only thing that's different if you're already
22:16
thing that's different if you're already
22:17
thing that's different if you're already familiar with ef core is the use mongodb
22:19
familiar with ef core is the use mongodb
22:19
familiar with ef core is the use mongodb function so we use the already um
22:23
function so we use the already um
22:23
function so we use the already um defined database client and the database
22:25
defined database client and the database
22:25
defined database client and the database name and that's all that you need to
22:27
name and that's all that you need to
22:28
name and that's all that you need to remember if if you've already been
22:29
remember if if you've already been
22:29
remember if if you've already been familiar with the
22:31
familiar with the
22:31
familiar with the FC I also want to showcase like some of
22:34
FC I also want to showcase like some of
22:34
FC I also want to showcase like some of the key features that are available
22:35
the key features that are available
22:35
the key features that are available already since we've been GA in May this
22:38
already since we've been GA in May this
22:38
already since we've been GA in May this year and then also what's coming up so
22:39
year and then also what's coming up so
22:40
year and then also what's coming up so we are compatible with uh EF core 8 and
22:43
we are compatible with uh EF core 8 and
22:43
we are compatible with uh EF core 8 and net 8 um we already saw capabilities and
22:46
net 8 um we already saw capabilities and
22:46
net 8 um we already saw capabilities and action which with crud operations change
22:48
action which with crud operations change
22:48
action which with crud operations change tracking um embedded documents link
22:51
tracking um embedded documents link
22:51
tracking um embedded documents link query support
22:53
query support
22:53
query support Etc um in terms of the upcoming features
22:56
Etc um in terms of the upcoming features
22:56
Etc um in terms of the upcoming features what I'm excited about is transaction in
22:58
what I'm excited about is transaction in
22:58
what I'm excited about is transaction in optimistic concurrency which is coming
23:00
optimistic concurrency which is coming
23:01
optimistic concurrency which is coming soon this week actually as we're
23:02
soon this week actually as we're
23:02
soon this week actually as we're speaking um so what this allows is it
23:05
speaking um so what this allows is it
23:05
speaking um so what this allows is it makes save changes and save changes
23:07
makes save changes and save changes
23:07
makes save changes and save changes Asing transactional by default if you
23:10
Asing transactional by default if you
23:10
Asing transactional by default if you want to turn it off you can uh
23:12
want to turn it off you can uh
23:12
want to turn it off you can uh intentionally and we support two modes
23:14
intentionally and we support two modes
23:14
intentionally and we support two modes of optimistic concurrency so you can
23:16
of optimistic concurrency so you can
23:17
of optimistic concurrency so you can define a concurrency token like a last
23:19
define a concurrency token like a last
23:19
define a concurrency token like a last updated time field and the onus is on
23:22
updated time field and the onus is on
23:22
updated time field and the onus is on the developer to update that but you can
23:25
the developer to update that but you can
23:25
the developer to update that but you can also use a row version which is an
23:26
also use a row version which is an
23:26
also use a row version which is an automatic update field where EF core
23:29
automatic update field where EF core
23:29
automatic update field where EF core provider will take care of it on its own
23:32
provider will take care of it on its own
23:32
provider will take care of it on its own um there's other features also listed
23:34
um there's other features also listed
23:34
um there's other features also listed here but um we have our whole list
23:37
here but um we have our whole list
23:37
here but um we have our whole list available on GitHub I can share a link
23:40
available on GitHub I can share a link
23:40
available on GitHub I can share a link later um and that's pretty much in in
23:44
later um and that's pretty much in in
23:44
later um and that's pretty much in in terms of what's going to be available
23:46
terms of what's going to be available
23:46
terms of what's going to be available what I do want to mention next is what
23:49
what I do want to mention next is what
23:49
what I do want to mention next is what else are we working on so we spoke about
23:51
else are we working on so we spoke about
23:51
else are we working on so we spoke about the EFC provider we spoke about the
23:54
the EFC provider we spoke about the
23:54
the EFC provider we spoke about the driver um and how these tie together and
23:57
driver um and how these tie together and
23:57
driver um and how these tie together and how you can use Monga B Atlas along with
23:59
how you can use Monga B Atlas along with
23:59
how you can use Monga B Atlas along with it but four things I want to highlight
24:01
it but four things I want to highlight
24:01
it but four things I want to highlight that our team has been working on and is
24:03
that our team has been working on and is
24:03
that our team has been working on and is very excited to share updates on um
24:06
very excited to share updates on um
24:06
very excited to share updates on um firstly on the top left you'll see the
24:07
firstly on the top left you'll see the
24:07
firstly on the top left you'll see the mongod tv.net analyzer so for folks who
24:11
mongod tv.net analyzer so for folks who
24:11
mongod tv.net analyzer so for folks who are not familiar with this it is an
24:13
are not familiar with this it is an
24:13
are not familiar with this it is an extension already available as a Ned
24:15
extension already available as a Ned
24:15
extension already available as a Ned package and it's a Roslin analyzer which
24:18
package and it's a Roslin analyzer which
24:18
package and it's a Roslin analyzer which allows you to see your queries at
24:19
allows you to see your queries at
24:19
allows you to see your queries at compile time in your IDE so if you
24:22
compile time in your IDE so if you
24:22
compile time in your IDE so if you working with Builders or link you can
24:25
working with Builders or link you can
24:25
working with Builders or link you can use the analyzer to hover over your code
24:28
use the analyzer to hover over your code
24:28
use the analyzer to hover over your code with the mouse and you'll see a three
24:29
with the mouse and you'll see a three
24:29
with the mouse and you'll see a three dots and then you can expand on that to
24:31
dots and then you can expand on that to
24:31
dots and then you can expand on that to see your queries even before they are
24:33
see your queries even before they are
24:33
see your queries even before they are sent to the server so it's pretty cool
24:36
sent to the server so it's pretty cool
24:36
sent to the server so it's pretty cool in terms of seeing what queries would be
24:38
in terms of seeing what queries would be
24:38
in terms of seeing what queries would be executed as you're working and
24:40
executed as you're working and
24:40
executed as you're working and developing your
24:41
developing your
24:41
developing your application um another important thing
24:44
application um another important thing
24:44
application um another important thing here is as of yesterday we shipped an
24:46
here is as of yesterday we shipped an
24:47
here is as of yesterday we shipped an update to the net analyzer and it
24:48
update to the net analyzer and it
24:48
update to the net analyzer and it supports EF core as well so if you're
24:51
supports EF core as well so if you're
24:51
supports EF core as well so if you're using the driver or EF core um you can
24:54
using the driver or EF core um you can
24:54
using the driver or EF core um you can use the anal analyzer along with it the
24:57
use the anal analyzer along with it the
24:57
use the anal analyzer along with it the next one below that
24:58
next one below that
24:59
next one below that is better o data support So o data is an
25:02
is better o data support So o data is an
25:02
is better o data support So o data is an extension that has been available um in
25:04
extension that has been available um in
25:04
extension that has been available um in the net ecosystem for a while so if you
25:06
the net ecosystem for a while so if you
25:06
the net ecosystem for a while so if you are working with OA we do have an
25:08
are working with OA we do have an
25:08
are working with OA we do have an extension for mongodb available you can
25:11
extension for mongodb available you can
25:11
extension for mongodb available you can simply use the enable query tag on
25:13
simply use the enable query tag on
25:13
simply use the enable query tag on your code on your controller's queries
25:16
your code on your controller's queries
25:16
your code on your controller's queries and then it will just make your queries
25:18
and then it will just make your queries
25:18
and then it will just make your queries powered by OD data um we've been working
25:20
powered by OD data um we've been working
25:20
powered by OD data um we've been working on improving the O dat extension by
25:23
on improving the O dat extension by
25:23
on improving the O dat extension by adding support for better filters and
25:25
adding support for better filters and
25:25
adding support for better filters and compute operations and in the next
25:27
compute operations and in the next
25:27
compute operations and in the next iteration of the next release of the
25:29
iteration of the next release of the
25:29
iteration of the next release of the extension all of this will be
25:31
extension all of this will be
25:31
extension all of this will be available the next one that I think a
25:33
available the next one that I think a
25:33
available the next one that I think a lot of folks will be intrigued about is
25:35
lot of folks will be intrigued about is
25:35
lot of folks will be intrigued about is our semantic kernel integration so if
25:38
our semantic kernel integration so if
25:38
our semantic kernel integration so if you are interested in building genni
25:40
you are interested in building genni
25:40
you are interested in building genni applications then you have the mongodb
25:44
applications then you have the mongodb
25:44
applications then you have the mongodb memory connector um which allows you to
25:46
memory connector um which allows you to
25:46
memory connector um which allows you to store your vector embeddings alongside
25:48
store your vector embeddings alongside
25:48
store your vector embeddings alongside your data so you can use Atlas to store
25:52
your data so you can use Atlas to store
25:52
your data so you can use Atlas to store all the data you already have with the
25:54
all the data you already have with the
25:54
all the data you already have with the vector embeddings and the semantical
25:56
vector embeddings and the semantical
25:56
vector embeddings and the semantical integration will allow you to um query
25:59
integration will allow you to um query
25:59
integration will allow you to um query your data and create gen applications
26:01
your data and create gen applications
26:01
your data and create gen applications with that so um I'll just share a couple
26:04
with that so um I'll just share a couple
26:04
with that so um I'll just share a couple of links uh in the
26:06
of links uh in the
26:06
of links uh in the chat and in case anyone's interested um
26:10
chat and in case anyone's interested um
26:11
chat and in case anyone's interested um I was able to get up and running with
26:12
I was able to get up and running with
26:12
I was able to get up and running with adding basic documents and create a
26:14
adding basic documents and create a
26:14
adding basic documents and create a chatbot in less than an hour so it's
26:16
chatbot in less than an hour so it's
26:16
chatbot in less than an hour so it's very uh very nice um the last thing I
26:19
very uh very nice um the last thing I
26:19
very uh very nice um the last thing I want to mention is the C driver 3.0 so
26:22
want to mention is the C driver 3.0 so
26:22
want to mention is the C driver 3.0 so our cop driver has not seen a major
26:25
our cop driver has not seen a major
26:25
our cop driver has not seen a major upgrade in the last eight years so this
26:27
upgrade in the last eight years so this
26:27
upgrade in the last eight years so this is really the nextg version of our
26:29
is really the nextg version of our
26:29
is really the nextg version of our driver which allows you to reduce a lot
26:31
driver which allows you to reduce a lot
26:31
driver which allows you to reduce a lot of tech dep deprecate things add new
26:33
of tech dep deprecate things add new
26:33
of tech dep deprecate things add new capabilities that we've been wanting to
26:35
capabilities that we've been wanting to
26:35
capabilities that we've been wanting to add for years um so we're really excited
26:37
add for years um so we're really excited
26:37
add for years um so we're really excited to introduce that the uh estimated time
26:41
to introduce that the uh estimated time
26:41
to introduce that the uh estimated time for that is late September to early
26:43
for that is late September to early
26:43
for that is late September to early October so we should be uh able to share
26:45
October so we should be uh able to share
26:46
October so we should be uh able to share more details as we make progress on
26:49
more details as we make progress on
26:49
more details as we make progress on that okay um I think that's all from me
26:53
that okay um I think that's all from me
26:53
that okay um I think that's all from me I'm open to questions but before we go
26:55
I'm open to questions but before we go
26:55
I'm open to questions but before we go to any questions um I also want to leave
26:57
to any questions um I also want to leave
26:57
to any questions um I also want to leave this up which is um codes or links
27:00
this up which is um codes or links
27:00
this up which is um codes or links available to view the documentation for
27:03
available to view the documentation for
27:03
available to view the documentation for efcore if you want to see the GitHub
27:05
efcore if you want to see the GitHub
27:05
efcore if you want to see the GitHub repository for the features that I just
27:07
repository for the features that I just
27:07
repository for the features that I just mentioned in terms of what's available
27:09
mentioned in terms of what's available
27:09
mentioned in terms of what's available what are the limitations what is not
27:11
what are the limitations what is not
27:11
what are the limitations what is not supported but we're considering um and
27:13
supported but we're considering um and
27:13
supported but we're considering um and then if you want to engage with the
27:15
then if you want to engage with the
27:15
then if you want to engage with the community we have our community forums
27:17
community we have our community forums
27:17
community we have our community forums and lastly our J board is public for any
27:20
and lastly our J board is public for any
27:20
and lastly our J board is public for any project so for the efco provider
27:22
project so for the efco provider
27:22
project so for the efco provider specifically if you've already used it
27:24
specifically if you've already used it
27:24
specifically if you've already used it and want to share any feedback feel free
27:26
and want to share any feedback feel free
27:26
and want to share any feedback feel free to do that um thank you and back to you
27:29
to do that um thank you and back to you
27:29
to do that um thank you and back to you Simon
27:30
Simon
27:30
Simon [Music]