Introduction to MongoDB for C# developers
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This document introduces MongoDB, an open source document database that is horizontally scalable and high performance. It discusses MongoDB terminology and how it differs from relational databases. Examples are provided for common operations like CRUD, indexing, querying, aggregation, map-reduce, and examples are provided to demonstrate usage. Resources for learning more about MongoDB are listed at the end.
![MapReduce
var map =
"function() {" +
" for (var key in this) {" +
" emit(key, { count : 1 });" +
" }" +
"}";
var reduce =
"function(key, emits) {" +
" total = 0;" +
" for (var i in emits) {" +
" total += emits[i].count;" +
" }" +
" return { count : total };" +
"}";
var mr = collection.MapReduce(map, reduce);
foreach (var document in mr.GetResults()) {
Console.WriteLine(document.ToJson());
}](https://image.slidesharecdn.com/introductiontomongodbforcdev-141205105853-conversion-gate01/85/Introduction-to-MongoDB-for-C-developers-9-320.jpg)
Introduction to MongoDB for C# developers
- 1. Introduction to MongoDB for C# developers by Taras Romanyk – [email protected] http://www.linkedin.com/in/rredcat
- 2. What is it? ● Document ● Open source ● High performance ● Horizontally scalable
- 3. Terminology RDBMS MongoDB Table, View Collection Row Document Index Index Join Embedded Document Foreign Key Reference Partition Shard
- 4. What is it? BSON { "_id": ObjectId("4efa8d2b7d284dad101e4bc7"), "Last Name": "PELLERIN", "First Name": "Franck", "Date of Birth": "09-19-1983", "Address": "1 chemin des Loges", "City": "VERSAILLES" }
- 5. CRUD { _id: 1, highScore: 800, lowScore: 200 } ● 16 MB limitation ● GridFS (chunks, files) partly loading ● $inc, $mul, $rename, $setOnInsert, $set,$unset, $min, $max, $currentDate
- 6. CRUD { _id: 1, highScore: 800, lowScore: 200 } { _id: 1, highScore: 800, lowScore: 200 } db.scores.update( { _id: 1 }, { $min: { lowScore: 150 } } )
- 7. Find/Aggregation Find db.inventory.find( { type: 'food', price: { $lt: 9.95 } } ) Aggregation $project, $match, $limit, $skip, $unwind, $group, $sort, $geoNear, $out, $redact $out $out
- 8. Find/Aggregation {"_id": "10", "city": "NEW YORK", "state": "NY", "pop": 5574} db.zipcodes.aggregate( { $group :{ _id : { state : "$state", city : "$city" }, pop : { $sum : "$pop" } } }, { $group : { _id : "$_id.state", avgCityPop : { $avg : "$pop" } } } )
- 9. MapReduce var map = "function() {" + " for (var key in this) {" + " emit(key, { count : 1 });" + " }" + "}"; var reduce = "function(key, emits) {" + " total = 0;" + " for (var i in emits) {" + " total += emits[i].count;" + " }" + " return { count : total };" + "}"; var mr = collection.MapReduce(map, reduce); foreach (var document in mr.GetResults()) { Console.WriteLine(document.ToJson()); }
- 10. Exmaple
- 11. Example
- 12. Example
- 13. Example
- 14. Q&A https://university.mongodb.com/courses http://docs.mongodb.org/manual/ http://www.10gen.com/presentations https://groups.google.com/forum/#!forum/mo ngodb-user http://stackoverflow.com/questions/tagged/m ongodb http://robomongo.org/
Editor's Notes
- #3: http://blog.michaelckennedy.net/2010/04/29/mongodb-vs-sql-server-2008-performance-showdown/ Consistency. All nodes see the same data at the same time. Availability. A guarantee that every request receives a response about whether it was successful or failed. Partition tolerance. The system continues to operate despite arbitrary message loss or failure of part of the system.
- #6: { getLastError: 1 }
- #7: { getLastError: 1 }
- #8: var group = new BsonDocument { { "$group", new BsonDocument { { "_id", new BsonDocument { { "MyUser","$User" } } }, { "Count", new BsonDocument { { "$sum", 1 } } } } } };