Panoramica delle funzionalità di MongoDB e delle topologie di installazione per il workshop DevMarche su stack MEAN.

1. Storage dei dati con

2. #devmean

3. The Forrester Wave™: Big Data NoSQL, Q3 2016

4. automatic scaling
Document Database
high performance high availability

5. Collections

6. A grouping of MongoDB documents. A
collection is the equivalent of an RDBMS
table. A collection exists within a single
database. Collections do not enforce a
schema.

7. A record in MongoDB is a document, which is a data structure composed of field
and value pairs. MongoDB documents are similar to JSON objects. The values of
fields may include other documents, arrays, and arrays of documents.
The advantages of using documents are:
• Documents (i.e. objects) correspond to native data types in many programming languages.
• Embedded documents and arrays reduce need for expensive joins.
• Dynamic schema supports fluent polymorphism.

8. {
"_id" : ObjectId("54c955492b7c8eb21818bd09"),
"address" : {
"street" : "2 Avenue",
"zipcode" : "10075",
"building" : "1480",
"coord" : [ -73.9557413, 40.7720266 ]
},
"borough" : "Manhattan",
"cuisine" : "Italian",
"grades" : [
{
"date" : ISODate("2014-10-01T00:00:00Z"),
"grade" : "A",
"score" : 11
},
{
"date" : ISODate("2014-01-16T00:00:00Z"),
"grade" : "B",
"score" : 17
}
],
"name" : "Vella",
"restaurant_id" : "41704620"
}
BSON is a binary serialization format used
to store documents and make remote
procedure calls in MongoDB. The BSON
specification is located at bsonspec.org.
Double Boolean 64-bit integer
String Date Decimal128
Object Null Min key
Array Regular Expression Max key
Binary data JavaScript
ObjectId 32-bit integer

9. ObjectId
ObjectIds are small, likely unique, fast to generate, and ordered.
ObjectId values consists of 12-bytes, where the first four bytes are a timestamp that
reflect the ObjectId’s creation, specifically:
•a 4-byte value representing the seconds since the Unix epoch,
•a 3-byte machine identifier,
•a 2-byte process id, and
•a 3-byte counter, starting with a random value.
In MongoDB, each document stored in a collection requires a unique _id field that
acts as a primary key. If an inserted document omits the _id field, the MongoDB
driver automatically generates an ObjectId for the _id field.

10. ObjectId values
DO NOT
represent a strict
insertion order.

11. Indexes

12. MongoDB creates a unique index on the _id field during the
creation of a collection.
Default _id Index

13. You cannot drop the
index on the _id field.

14. db.records.createIndex( { score: 1 } )
Single field Indexes

15. sort order does not
matter for a sort operation

16. db.products.createIndex( { "item": 1, "stock": 1 } )
Compound Indexes

17. sort order can matter in
determining whether the
index can support a sort
operation

18. MultikeyText2dsphere
2d HashedTTL

19. db.people.createIndex(
{ zipcode: 1 },
{
background: true,
sparse: true
}
)

20. db.people.createIndex({
zipcode: 1
}, {
background: true,
sparse: true
})

21. Aggregations

22. aggregation framework is modeled
on the concept of data processing
pipelines.

24. Map / Reduce

25. All map-reduce functions are
JavaScript and run within the
mongod process

27. Storage
Engines

28. The storage engine is the
component of the database that
is responsible for managing how
data is stored, both in memory
and on disk.

29. MongoDB supports multiple
storage engines, as different
engines perform better for
specific workloads

30. Choosing the appropriate
storage engine for your use
case can significantly
impact the performance of
your applications

31. WiredTiger is the default storage engine
starting in MongoDB 3.2. It is well-suited
for most workloads and is recommended
for new deployments

32. WiredTiger provides a document-level
concurrency model, checkpointing, and
compression, among other features

33. MMAPv1 is the original MongoDB
storage engine and is the default storage
engine for MongoDB versions before 3.2.
It performs well on workloads with high
volumes of reads and writes, as well as
in-place updates.

34. The In-Memory Storage Engine is
available in MongoDB Enterprise. Rather
than storing documents on-disk, it retains
them in-memory for more predictable
data latencies.

36. https://www.percona.com/blog/2015/12/23/percona-server-for-mongodb-storage-engines-in-iibench-insert-workload/

37. Scaling & Availability

40. ienumerable.it
andreabalducci
mtb.snowboard