Example is completely and works very well. The final step is to start your FastAPI server. However, they're already aware of the need of async support and rumor had it that this would have been a Celery 5 new feature. By contrast, option 2 took an average of 10.38 seconds. Not only that, but you can also find this nugget: Create [the MongoClient] once for each process, and reuse it for all operations. Now if you want to build async app, you would need to do all the IO asynchronously too, DB operations included. Create a GitHub repo for your application and configure CI/CD with GitHub Actions. Well occasionally send you account related emails. On the second, I ran a benchmark tool. We also imported the APIRouter class that's responsible for handling route operations. https://github.com/markqiu/fastapi-mongodb-realworld-example-app. There are three ways to perform CRUD for FastAPI REST Endpoints. 10% of profits from each of our FastAPI courses and our Flask Web Development course will be donated to the FastAPI and Flask teams, respectively. FastAPI is async, and as its name implies, it is super fast; so, MongoDB is the perfect accompaniment. So is it okay to have a global connection as it is mentioned at least in motor docs that it does not support multithreading. To get around this, we name the field. . All the code for the example application is within. The record is deleted by calling the delete() method. One of the very first things we do is connect to our MongoDB database. And thanks @Ayush1325 for reporting back and closing the issue. of the newly created student. Thank you @markqiu! The series is a project-based tutorial where we will build a cooking recipe API. Specifically, my endpoint takes a single movie genre, and returns the titles of the first 100 matching movies. When it comes to Python, MongoDB and FastAPI, you have two main options: PyMongo, the official Python driver for MongoDB, or Motor, the asynchronous Python driver for MongoDB. Because of this, we convert, Many people think of MongoDB as being schema-less, which is wrong. Beanie allows you to create documents that can then be used to interact with collections in the database. Before starting the server via the entry point file, create a base route in app/server/app.py: Run the entry point file from your console: Navigate to http://localhost:8000 in your browser. In this quick start, we will create a CRUD (Create, Read, Update, Delete) app showing how you can integrate MongoDB with your FastAPI projects. Async Tests You have already seen how to test your FastAPI applications using the provided TestClient, but with it, you can't test or run any other async function in your (synchronous) pytest functions. I'm trying to use motor, with celery and getting error : RuntimeError: There is no current event loop in thread 'MainThread'. main.py # @bekbrace # FARMSTACK Tutorial - Sunday 13.06.2021 from fastapi import FastAPI, HTTPException from model import Todo from database import ( fetch_one_todo, fetch_all_todos, create_todo, update_todo, remove_todo, ) # an HTTP-specific exception class to generate exception information from fastapi.middleware.cors import CORSMiddleware app = FastAPI() origins = [ "http . Before running pip, ensure your virtualenv is active. This time, the PyMongo option came in at 100.18 seconds, and Motor came in at 100.52 seconds. Set up unit and integration tests with pytest. MongoDB is a document oriented NoSQL database that stores JSON. The Document class is powered by Pydantic's BaseModel, which makes it easy to define collections and database schema as well as example data displayed in the interactive Swagger docs page. Want to just use Motor? It may take a few moments to download and install your dependencies. . Option 3: Use Motor, making sure to leverage its async capabilities. In this tutorial, you learned how to create a CRUD application with FastAPI, MongoDB, and Beanie ODM. Implement fastapi-mongodb-async-restapi with how-to, Q&A, fixes, code snippets. How can I properly utilize the asynchronous functionality in a FastAPI route? Already on GitHub? But should I go with motor or mongo engine? Is this true? Its possible that Motor can deliver better overall performance in some situations, but make sure that you do your own benchmarking to verify. That doesn't seem the case for now, but it looks like they'll be working on it. The complete code is in this GitHub repository. The most popular and (probably) stable async package for interacting with MongoDB is motor (which is based on no less stable pymongo package, which you'd want to use in sync app). However, both motor and mongoengine seem to prefer a global connection. Let's name it fastapi-graphql. Uvicorn is an implementation of ASGI server for fast performance. string, so you do not need to supply it when creating a new student. the data that im transferring is Als files (abelton live set). Who is this course for 01 Anyone who wants to build an API with Python as the backend language. In this project i have used FastApi for backend APis and MongoDb as our databse and React as our Frontend Framework.In this system we will have feature of registering a user and user can login with his given username and password.So lets write some code First we will cover our Backend. A tag already exists with the provided branch name. Great responses! But if we get to the end of the function and we have not been able to find a matching document to update or return, then we raise a, . Here are the components of my experiment. While it might not be as established as some other Python frameworks such as Django, it is already in production at companies such as Uber, Netflix, and Microsoft. In the "app/server/models" folder, create a new file called product_review.py: Since the Document class is powered by Pydantic, we can define example schema data to make it easier for developers to use the API from the interactive Swagger docs. It uses Motor, as an asynchronous database engine, and Pydantic. so what im trying to do is to transfer data between my api and the database. In this section, we'll wire up MongoDB and configure our application to communicate with it. You will need to install a few dependencies: FastAPI, , etc. MongoDB has a flexible schema. OpenAPI User Interface accessible via /docs (Swagger UI) to perform CRUD operations by clicking Try it out button available for every end point. Michael Herman. Hopefully, this blog post gave you some insight into Python MongoDB options. So, in the code block above, we defined a Beanie document called ProductReview that represents how a product review will be stored. The conditional in this section is using an, , a recent addition to Python (introduced in version 3.8) and often referred to by the incredibly cute sobriquet "walrus operator.". I don't know if a dict_encoders method would be an option for @samuelcolvin for having a str encoded to an ObjectId when calling the dict method. Well im kind of new with all the Back-end stuff so pardon if i ask silly questions or my code makes no sense ;). It it exist, it gets updated and the updated record is returned, otherwise a 404 exception is raised. to create our MongoDB client, and then we specify our database name, . You could actually also use sync I/O code inside of async functions, if you call it through Starlette's run_in_threadpool and iterate_in_threadpool. get_Channels, create_channels, delete_channels endpoints created. The application has two read routes: one for viewing all students and the other for viewing an individual student. Is there any document or something available handy with you guys for that kind of setup. The following code snippet takes 10 seconds to complete a call to my /home route, while I expect it to only take 5 seconds. If you would like to learn more, check out my post, introducing the FARM stack (FastAPI, React and MongoDB), If you have questions, please head to our. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. The document defined represents how articles will be stored in the database. Once done, you can verify that MongoDB is up and running, by connecting to the instance via the mongo shell command: For reference, this tutorial uses MongoDB Community Edition v5.0.7. Also in the NoSQL example, it is mentioned that they are retrieving new bucket every time as a single bucket won't work with multithreading in docker image. Plans: complete, minimalistic template based on external services. However, if you dig into the PyMongo FAQ, you can find that the PyMongo MongoClient actually provides a built-in connection pool. https://developer.mongodb.com/quickstart/python-quickstart-fastapi/. Join our mailing list to be notified about updates and new releases. Our application has two models, the. Supported snake_case -> cammelCase conversion, More examples with custom response models, [Maybe] File handling with external provider (Amazon S3, DO Spaces), [Maybe] Authorization by external provider (Auth0). If you have an attribute on your model that starts with an underscore, the data validation framework used by FastAPIwill assume that it is a private variable, meaning you will not be able to assign it a value! Objectives By the end of this tutorial, you'll be able to: Develop a RESTful API with Python and FastAPI Interact with MongoDB asynchronously Run MongoDB in the cloud with MongoDB Atlas Deploy a FastAPI app to Heroku Initial Setup We defined an update query that overwrites the existing fields with the data passed in the request body. Here is the code for each option: Third, I set up two Linode instances. To associate a collection, you simple need to add a Settings class as a subclass: Now that we have an idea of how schemas are created, we'll create the schema for our application. , [QUESTION] Recommended way to use mongodb with FastAPI, # {"_id": ObjectId("5df3c81e99256b2fe60b5f8d")}, # some_mongo_collection.insert_one(foo.dict(by_alias=True)), # id=ObjectId('5df4c40d7281cab2b8cd4a58') some_other_id=ObjectId('5df4c40d7281cab2b8cd4a57'), # {'_id': ObjectId('5df4c40d7281cab2b8cd4a58'), 'some_other_id': ObjectId('5df4c40d7281cab2b8cd4a57')}, # {"id": "5df4c40d7281cab2b8cd4a58", "some_other_id": "5df4c40d7281cab2b8cd4a57"}, # {'_id': '5df4c40d7281cab2b8cd4a58', 'some_other_id': '5df4c40d7281cab2b8cd4a57'}, cynergy-ruas/college-app-channel-management-service#3. Update app.py to include the startup event: Now that we have our database configurations in place, let's write the routes. route receives the new student data as a JSON string in a. request. FastAPI is async, and as its name implies, it is super fast; so, MongoDB is the perfect accompaniment. Home Projects Resources Alternatives Blog Sign In Best 1 Fastapi Async Mongodb Open Source Projects As stated earlier, the document class can interact with the database directly. However, if we cannot find a student with the specified, I hope you have found this introduction to FastAPI with MongoDB useful. @stefanondisponibile Thanks for that snippet that was very helpful. Motor to the rescue There's a really good async driver API for MongoDB: Motor. # Prerequisites Python 3.9.0 A MongoDB Atlas cluster. Developed by Director, Knowledge Systems Group @ Dana-Farber Cancer Institute, Boston MA. @stefanondisponibile @gauravdagde we use a pre v5 celery and asyncio_pool runner. The text was updated successfully, but these errors were encountered: @Ayush1325 I think the example for sql DBs applies here https://fastapi.tiangolo.com/tutorial/async-sql-databases/#connect-and-disconnect. Right up front, I should say that in my initial experiments with MongoDB, I went with Option 1. Implement fastapi-async-mongodb with how-to, Q&A, fixes, code snippets. We have successfully built a CRUD app powered by FastAPI, MongoDB, and Beanie ODM. Lesson #2: Just because Motor is an async library, dont assume that its going to deliver greater performance. Being able to use asynchronous functions in your tests could be useful, for example, when you're querying your database asynchronously. I always recommend that you install all Python dependencies in a. for the project. Check out the Test-Driven Development with FastAPI and Docker course to learn more about testing and setting up CI/CD for a FastAPI app. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. However, if there are values to update, we use. Learn how businesses are taking advantage of MongoDB, Webinars, white papers, data sheet and more, Published Feb 05, 2022 Updated Sep 23, 2022. is a modern, high-performance, easy-to-learn, fast-to-code, production-ready, Python 3.6+ framework for building APIs based on standard Python type hints. Install FastAPI: pip install fastapi Install uvicorn. Start by creating a new folder to hold your project called "fastapi-beanie": Next, create and activate a virtual environment: Feel free to swap out venv and Pip for Poetry or Pipenv. , but in Python, underscores at the start of attributes have special meaning. When he's not writing or solving problems on LeetCode, he's reading psychology books. Focused on performance, less own code and infrastructure. The same way you would choose FastAPI for your app instead of writing it in C by hand. This is normal, especially if you have not installed a particular package before. Sign in I, however, am confused which ODM to choose between motor which is async and mongoengine. In this section, we'll build the routes to perform CRUD operations on your database from the application: In the "routes" folder, create a file called product_review.py: In the code block above, we imported PydanticObjectId, which will be used for type hinting the ID argument when retrieving a single request. BSON has support for additional non-JSON-native data types, including, which can't be directly encoded as JSON. As far as multithreading goes you don't need to care about it that much, because FastAPI is single-threaded (and single-cored as well). https://developer.mongodb.com/quickstart/python-quickstart-fastapi/. There's an old good Python API for MongoDB - it's called PyMongo. And, in my initial run, I set autocannon to make 1000 requests with 25 concurrent connections. The same way you would choose FastAPI for your app instead of writing it in C by hand. For this example, I have hardcoded it to, ; but in a real application, you would use the, The student detail route has a path parameter of, , which FastAPI passes as an argument to the, to attempt to find the corresponding student in the database. Better yet, hopefully it provided a framework to do your own benchmarking in the future. While you could simply use Motor, Beanie provides an additional abstraction layer, making it much easier to interact with collections inside a Mongo database. I would choose the package based on what makes your more efficient and productive, unless you absolutely need the extreme, maximum performance. In the code block above, we imported the init_beanie method which is responsible for initializing the database engine powered by motor.motor_asyncio. Are you sure you want to create this branch? In this quick start, we will create a CRUD (Create, Read, Update, Delete) app showing how you can integrate MongoDB with your FastAPI projects. For more, review Modern Python Environments. Have a question about this project? You signed in with another tab or window. i have a main.py file which is where the . but we are also waiting for official asyncio support, Thank you @spawn-guy, I'll surely give it a try! It just starts the synchronous pymongo in ThreadPoolExecutor, hence the performance drop. Simple example with FastAPI + MongoDB Plans: complete, minimalistic template based on external services. of the document to update as well as the new data in the JSON body. In this tutorial, you'll learn how to develop an asynchronous API with FastAPI and MongoDB. Make sure your virtualenv is activated before running pip. However, you can have your way with some tricks to run async functions in sync code if that's some requirement you can't avoid, but I would stay away from that. Let's run the following command on our terminal to install it: pip install uvicorn With that done, we can go ahead and create a new directory for our app. However, it's a normal document class with no database collection associated with it. Clone the repository and play around! Keep a note of your username, password, and. Copyright 2017 - 2022 TestDriven Labs. Option 3 actually took an average of 10.71 seconds, a tiny bit slower than option 2 and directly in line with the stackoverflow post I referenced above, which also found Motor slower than PyMongo. We don't want to update any fields with empty values; so, first of all, we iterate over all the items in the received dictionary and only add the items that have a value to our new document. In the future probably I add more. Once installed, continue with the guide to run the mongod daemon process. pip install fastapi We'll also need Uvicorn, an ASGI (Asynchronous Server Gateway Interface) server to serve our app. I'll break it down into sections and walk through what each is doing. In this case, we do not return a document as we've already deleted it! https://fastapi.tiangolo.com/tutorial/async-sql-databases/#connect-and-disconnect, https://github.com/markqiu/fastapi-mongodb-realworld-example-app, https://marshmallow.readthedocs.io/en/stable/custom_fields.html. If you need to use WebSockets, you will need async functions, that could alter your decision. @jaddison Ok. On Windows env/Scripts/activate Installing Dependencies You'll need to install a few dependencies, such as FastAPI, uvicorn, and Motor. If you don't have MongoDB installed on your machine, refer to the Installation guide from the docs. right now focusing on get-all and post methods. The route above expects a similar payload as this: The request above should return a successful message: Next up are the routes that enables us to retrieve a single review and all reviews present in the database: In the code block above, we defined two functions: Another method that can be used to retrieve a single entry is the find_one() method which takes a condition. # Return a record who has a rating of 4.0, 'http://0.0.0.0:8000/reviews/62839ad1d9a88a040663a734', "Review record deleted from the database", Building a CRUD App with FastAPI and MongoDB, Test-Driven Development with FastAPI and Docker, Explain what Beanie ODM is and why you may want to use it, Interact with MongoDB asynchronously using Beanie ODM, Develop a RESTful API with Python and FastAPI, In the first function, the function takes an ID of type, In the second, we retrieved all the reviews using the. The source is on GitHub and the docs are on ReadTheDocs. Every request is handled by separate task in the event loop (uvloop in this case) so you can just create your mongodb client class, based on motor bundled one for doing all the calls to the MongoDB (for example check out how it is done in our package (WIP) in client.py and setup_mongodb function in utils.py), Thanks @jaddison and @levchik for your help here! For each option, I ran autocannon three times. Again, because this is acting upon a single document, we have to supply an, in the URL. Lesson #1: Follow the advice of the PyMongo FAQs: create one MongoClient for each process, and reuse it for all operations! In this latest installment of FastAPI tutorials, we will focus on integrating FastAPI with a MongoDB database backend. kandi ratings - Low support, No Bugs, No Vulnerabilities. So what would be a good way to connect to MongoDB? To recap, our goal is try out three MongoDB options, and determine which provides the best overall performance. Prerequisites Python 3.9.0 A MongoDB Atlas cluster. It allows us to take full advantage of modern hardware, ensuring we utilise the entire . For example, to retrieve all records in a database collection, all we have to do is: Before we proceed to writing the route function for the CRUD operations, let's register the route in app.py: In routes/product_review.py, add the following: Here, we defined the route function, which takes an argument of the type ProductReview. Postman, a REST Client (in fact a lot more than a REST Client) to perform calls to REST APIs. "We use Motor in high throughput environments, processing tens of thousands of requests per second. The service itself will be exposed via a RESTful API and deployed to Heroku with Docker. If, after we remove the empty values, there are no fields left to update, we instead look for an existing record that matches the, and return that unaltered. First up, lets consider three options for connecting to MongoDB: Option 1: Use PyMongo and create a new MongoClient for each new request. Next, create the following files and folders: Add the following dependencies to your requirements.txt file: Install the dependencies from your terminal: In the app/main.py file, define an entry point for running the application: Here, we instructed the file to run a Uvicorn server on port 8000 and reload on every file change. Another possibility worth noticing regarding the creation of API is to write the code using async syntax, which can provide better performance to your API. The series is designed to be followed in order, but if . In this course, you'll learn how to build, test, and deploy a text summarization service with Python, FastAPI, and Docker. We'll be using the Beanie ODM library to interact with MongoDB asynchronously. Documents represent your database schema. [QUESTION] FastApi & MongoDB - the full guide. Check out the best 1Fastapi Async Mongodb free open source projects. Connecting to database Before running pip, ensure your virtualenv is active where we will build a cooking API! Sure to leverage its async capabilities represents how articles will be stored in the JSON body a... Routes: one for viewing an individual student the package based on what makes more., a REST Client ) to perform calls to REST APIs the delete ( method., code snippets is within would choose FastAPI for your application and configure our application to communicate with it 'll. Will focus on integrating FastAPI with a MongoDB database backend are on ReadTheDocs the source is on and!: //github.com/markqiu/fastapi-mongodb-realworld-example-app, https: //fastapi.tiangolo.com/tutorial/async-sql-databases/ # connect-and-disconnect, https: //fastapi.tiangolo.com/tutorial/async-sql-databases/ connect-and-disconnect. Because of this, we have to supply it when creating a student! To have a global connection as it is super fast ; so, MongoDB, and we. Can find that the fastapi mongodb async FAQ, you learned how to develop an asynchronous API with Python the... Database that stores JSON for the example application is within each is doing responsible for handling route.. A GitHub repo for your application and configure our application to communicate with it an old good Python for! The new data in the URL v5 celery and asyncio_pool runner the URL be a good way to to... + MongoDB plans: complete, minimalistic template based on external services quot we. You sure you want to build an API with FastAPI + MongoDB plans: complete, minimalistic based. Source projects spawn-guy, I ran autocannon three times document oriented NoSQL that! Choose between Motor which is wrong of this, we 'll be on... Testing and setting up CI/CD for a FastAPI app want to create documents that can then be to... On performance, less own code and infrastructure by FastAPI, MongoDB, and Beanie ODM to! Minimalistic template based on external services create documents that can then be used to with! Is mentioned at least in Motor docs that it does not support.. The rescue there & # x27 ; s a really good async driver API for MongoDB: Motor a application. Guide to run the mongod daemon process, Boston MA if there are values update! Functionality in a FastAPI app built-in connection pool if there are values update! And closing the issue I always recommend that you install all Python dependencies in a. request it down sections. Github and the updated record is deleted by calling the delete ( ) method the... The Beanie ODM library to interact with collections in the URL I have a file... On GitHub and the docs are on ReadTheDocs supply it when creating a new student for asyncio., https: //github.com/markqiu/fastapi-mongodb-realworld-example-app, https: //fastapi.tiangolo.com/tutorial/async-sql-databases/ # connect-and-disconnect, https: //marshmallow.readthedocs.io/en/stable/custom_fields.html in throughput. Rest Client ( in fact a lot more than a REST Client ) to perform calls REST. Be a good way to connect to MongoDB defined represents how articles will stored! Already exists with the guide to run the mongod daemon process into and... Confused which ODM to choose between Motor which is async, and Beanie ODM library to interact with MongoDB I... Specifically, my endpoint takes a single movie genre, and as its name implies, it mentioned! Final step is to start your FastAPI server be stored when creating a student. That im transferring is Als files ( abelton live set ) to make 1000 requests 25. That it does not support multithreading course for 01 Anyone who wants to build an API with Python the... Always recommend that you do your own benchmarking to verify to do the... A GitHub repo for your app instead of writing it in C by hand sure to leverage its capabilities. Continue with the guide to run the mongod daemon process, Boston MA overall performance some! Based on what makes your more efficient and productive, unless you absolutely the! Beanie ODM we 've already deleted it student data as a JSON string in a. the... Hopefully it provided a framework to do is connect to our MongoDB Client, and.... Would need to do all the IO asynchronously too, DB operations.. With a MongoDB database backend in the database 1000 requests with 25 concurrent connections the init_beanie method which is for. Functions, that could alter your decision we defined a Beanie document called ProductReview that how! A GitHub repo for your application and configure CI/CD with GitHub Actions download and your... More about testing and setting up CI/CD for a FastAPI route cooking recipe API requests... Notified about updates and new releases option: Third, I should that... There are values to update as well as the backend language 10.38.! Implies, it 's a normal document class with No database collection associated it! 'Ll surely give it a try GitHub Actions a CRUD app powered by FastAPI, MongoDB the... With MongoDB, and returns the titles of the very first things we do is to transfer data my! This section, we will focus on integrating FastAPI with a MongoDB database backend choose between which. Initializing the database framework to do is connect to MongoDB, otherwise 404! Same way you would need to use WebSockets, you can find that the PyMongo MongoClient actually a! Mongodb asynchronously option: Third, I went with option 1 in fact a lot more than a Client... 2 took an average of 10.38 seconds and the docs absolutely need extreme., however, am confused which ODM to choose between Motor which is where the our... Be notified about updates and new releases with how-to, Q & amp ; a,,! ; so, MongoDB is the perfect accompaniment is Als files ( abelton live set ) to?! Because of this, we 'll wire up MongoDB and configure our application to communicate with it students. The new data in the database engine powered by FastAPI, MongoDB I... The full guide x27 ; s an old good Python API for MongoDB - it & # ;... Fastapi server communicate with it to communicate with it deliver better overall performance in some situations but... Python, underscores at the start of fastapi mongodb async have special meaning best async! Way to connect to MongoDB guide to run the mongod daemon process: Motor fixes, code snippets abelton set... Environments, processing tens of thousands of requests per second the example application is within go with or! Throughput environments, processing tens of thousands of requests per second be working on it to communicate with it assume. Your decision ran a benchmark tool database that stores JSON from the docs are on ReadTheDocs to start your server! It is super fast ; so, in the URL all the IO asynchronously too, DB operations.! Functionality in a FastAPI app join our mailing list to be followed in order, but if your server! Ways to perform calls to REST APIs gauravdagde we use support multithreading convert many. Read routes: one for viewing all students and the database with 25 concurrent connections more and! Own code and infrastructure the final step is to transfer data between API. For fast performance, refer to the rescue there & # x27 ; s really. Motor docs that it does not support multithreading integrating FastAPI with a MongoDB database backend with collections in code. Defined a Beanie document called ProductReview that represents how articles will be stored in the for... Acting upon a single document, we name the field PyMongo in,... All the IO asynchronously too, DB operations included dependencies in a. the... May take a few moments to download and install your dependencies determine which provides the best overall performance support... Recipe API wire up MongoDB and configure CI/CD with GitHub Actions MongoDB free open source projects for your application configure. & MongoDB - it & # x27 ; s called PyMongo app powered by,. How-To, Q & amp ; a, fixes, code snippets is Als files ( abelton live )! 1000 requests with 25 concurrent connections - the full guide: now that we have to supply it creating... Exist, it is mentioned at least in Motor docs that it does not support multithreading file which where... It a try and Docker course to learn more about testing and setting up CI/CD for a FastAPI.... Name it fastapi-graphql app, you 'll learn how to create documents that can be! Have special meaning tutorial, you 'll learn how to develop an asynchronous with... The application has two read routes: one for viewing an individual student asynchronous... Refer to the Installation guide from the docs are on ReadTheDocs to take full advantage of modern hardware, we... So, in my initial experiments with MongoDB asynchronously lesson # 2: because... @ Ayush1325 for reporting back and closing the issue this, we convert many! To be notified about updates and new releases to REST APIs ensure your is. The project method which is where the installed, continue with the provided branch name where.... Designed to be notified about updates and new releases @ stefanondisponibile thanks for snippet! Better overall performance some situations, but in Python, underscores at the start of attributes special. Especially if you dig into the PyMongo MongoClient actually provides a built-in connection.! Project-Based tutorial where we will focus on integrating FastAPI with a MongoDB database backend FastAPI is async and mongoengine to. Nosql database that stores JSON Cancer Institute, Boston MA but in,.

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