1. Getting Started with
MongoDB
Capital District Java Developers Network
January 16, 2014
Michael P. Redlich
@mpredli
about.me/mpredli/
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2. Who’s Mike?
• BS in CS from Rutgers University
• “Petrochemical Research Organization”
• Ai-Logix, Inc. (now AudioCodes)
• Amateur Computer Group of New Jersey
• Publications
• Presentations
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3. Upcoming Events
• Trenton Computer Festival
• March 14-15, 2014
• tcf-nj.org
• Emerging Technologies for the Enterprise
• April 22-23, 2014
• phillyemergingtech.com
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4. Upcoming Events
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5. Objectives
• What is MongoDB?
• What is NoSQL?
• Getting Started with MongoDB
• Basic CRUD Operations
• Live Demos (yea!)
• MongoDB Resources
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6. What is MongoDB? (1)
• “...an open-source document database that
provides high performance, high availability, and
automatic scaling.”
MongoDB Web Site, http://www.mongodb.org/
• It’s name derived from “humongous”
• Written in C++
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7. What is MongoDB? (2)
• “...an open-source database used by
companies of all sizes, across all industries and
for a wide variety of applications. It is an agile
database that allows schemas to change
quickly as applications evolve, while still
providing functionality developers expect from
traditional databases...”
MongoDB Products Web Site, http://www.mongodb.com/products/mongodb/
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8. What is NoSQL?
• Developed to address shortcomings of a
traditional SQL relational database, namely:
• big data
• frequency of access to big data
• performance and scalability
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9. How is MongoDB
Used?
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10. Who is Using
MongoDB?
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11. Features of MongoDB
•
•
•
•
•
Document-Oriented
Storage
•
•
Full Index Support
•
•
Auto-Sharding
Replication and High
Availability
Fast In-Place Updates
Map/Reduce
GridFS
Professional Support by
MongoDB
Querying
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12. Nomenclature (1)
RDBMS
MongoDB
Database
Database
Table
Collection
Row
Document
Index
Index
Join
Embedding & Linking
Foreign Key
Reference
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13. Nomenclature (2)
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14. What is a Document?
• Basic unit of data
• analogous to a row in a RDBMS
• An ordered set of fields (keys) with
associated values stored in BSON format
• similar to JSON
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15. What is BSON?
• “...a binary-encoded serialization of JSON-like
documents.”
BSON Web Site, http://www.bsonspec.org/
• Binary JSON
• Designed to be lightweight, traversable, and
efficient
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16. What is a Collection?
• A group of documents
• analogous to a table in a RDBMS
• Schema-less
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17. Advantages of
Documents
• Documents correspond to native data
types in many programming languages
• Embedded documents and arrays reduce
the need for expensive joins
• Dynamic schema support fluent
polymorphism
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18. Document Structure
{
embedded document
lastName : “Redlich”,
firstName : “Michael”,
email : “mike@redlich.net”
role : {
officer : “President”,
field
sig : “Java Users Group”
value
}
}
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19. Field Names
• Strings
• Cannot contain:
• null
• dots (.)
• dollar sign ($)
• No duplicate field names
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20. Conventions
• Command Prompt ($)
• MySQL prompt (mysql>)
• MongoDB prompt (>)
• Keywords (db, find(), etc.)
• Variables (variable)
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21. Example Database
• ACGNJ Board of Directors:
• lastName
• firstName
• roles (embedded documents)
• tenure
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22. Getting Started
• Download MongoDB
• Create a default data directory
•/data/db
•C:datadb
• Create your first MongoDB database
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23. Starting MongoDB
• Start an instance of the MongoDB server:
$ mongod
• Start an instance of the MongoDB client (a
JavaScript-based shell):
$ mongo
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24. Mongo Shell (1)
• Show the list of shell commands:
> help
• Show the list of databases:
> show dbs
• Show the current database:
> db
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25. Mongo Shell (2)
• Specify the database to use or create:
> use database
• Show the collections within the current
database:
> show collections
• Show the users within the database:
> show users
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26. Mongo Shell (3)
• Show the recent system.profile
entries:
> show profile
• Tab completion
• Command history
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27. Primary Key
• Denoted by a special field, _id
• It can be generated:
• Implicitly:
{_id : ObjectID(value)}
•
• Explicitly:
• {_id : 2 }, { _id : “MPR”}
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28. ObjectIDs
• Default type for _id
• A 12-byte hexadecimal BSON type:
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29. Live Demo!
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30. Create
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31. Create a Database
• Create a database in MySQL:
mysql> CREATE DATABASE database;
• Create a database in MongoDB:
> use database
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32. Create a Collection
• Create a new table in MySQL:
mysql> CREATE TABLE table(column
datatype,...);
• Create a new collection in MongoDB:
>
db.collection.insert({field:value,.
..})
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33. Insert Data
• Insert a row in MySQL:
> INSERT INTO table(column,...)
VALUES(value,...);
• Insert a document in MongoDB:
>
db.collection.insert({field:value,.
..})
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34. Insert Data with Loops
• Insert multiple documents with an array:
> for(int i = 0;i < j;++i)
db.collection.insert({field:array[i
]});
• Insert multiple documents with variable:
> for(int i = 0;i < j;++i)
db.collection.insert({field:i})
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35. Live Demo!
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36. Read
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37. Query (1)
• Retrieve all rows in MySQL:
mysql> SELECT * FROM table;
• Retrieve all documents in MongoDB:
> db.collection.find()
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38. Query (2)
• Retrieve specified columns in MySQL:
mysql> SELECT column1,column2 FROM
table;
• Retrieve specified fields in MongoDB:
> db.collection.find({},
{field1:true,field2:true})
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39. Query (3)
• Retrieve specific rows in MySQL:
mysql> SELECT * FROM table WHERE
column = value;
• Retrieve specific documents in MongoDB:
> db.collection.find({field:value})
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40. Query (4)
• Retrieve specific rows in MySQL:
mysql> SELECT * FROM table WHERE
column = value ORDER BY value ASC;
• Retrieve specific documents in MongoDB:
>
db.collection.find({field:value}).s
ort({field:1})
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41. Query (5)
• Query for multiple documents (returns a
cursor):
> db.collection.find()
• Query for one document (returns a single
document):
> db.collection.findOne()
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42. Query Selectors
• Scalar:
• $ne, $mod, $exists, $type, $lt,
$lte, $gt, $gte
• Vector:
• $in, $nin, $all, $size
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43. Query (6)
• Retrieve specific rows in MySQL:
mysql> SELECT * FROM table WHERE
column != value;
• Retrieve specific documents in MongoDB:
> db.collection.find({field:
{$ne:value}})
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44. Query (7)
• Retrieve specific rows in MySQL:
mysql> SELECT * FROM table WHERE
column1 = value OR column2 = value;
• Retrieve specific documents in MongoDB:
> db.collection.find({$or:
[{field:value},{field:value}])
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45. Query (8)
> db.members.aggregate({$project:
{officer:"$roles.officer"}})
> db.members.find({tenure:
{$gt:ISODate("2014-12-31")}})
> db.members.find({"roles.officer":
{$exists:true}}).sort({"roles.offic
er":1})
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46. Query (9)
>
db.members.find({"roles.director":
{$all:["Director"]}})
>
db.members.find({"roles.committee":
{$in:["Historian","Newsletter"]}})
> db.members.find({roles:{$size:
3}})
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47. Live Demo!
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48. Update
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49. Update (1)
• Update a row in MySQL:
mysql> UPDATE table SET column =
value WHERE id = id;
• Update a document in a MongoDB:
> db.collection.update({_id:value},
{$set:{field:value}},{multi:true})
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50. Update (2)
• Update a row in MySQL:
mysql> UPDATE table SET column1 =
value WHERE column2 > value;
• Update a document in MongoDB:
> db.collection.update({field1:
{$gt:value}},{$set:{field2:value}},
{multi:true})
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51. Update (3)
• Update a document using findOne():
> redlich =
db.members.findOne({lastName:
"Redlich"})
> redlich.roles = [{sig:"Java Users
Group"}]
> db.members.update({lastName:
"Redlich"},redlich)
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52. Atomic Update
Operators
• Scalar:
• $inc, $set, $unset
• Vector:
• $push, $pop, $pull, $pushAll,
$pullAll, $addToSet
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53. Update (4)
> db.members.update({lastName:
"Redlich"},{$set:
{"ISODate("2016-12-31")}})
> db.members.update({"roles.sig"},
{$set:{"roles.sig":"JUG"}})
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54. Delete
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55. Delete (1)
• Delete all rows in MySQL:
mysql> DELETE FROM table;
• Delete all documents in MongoDB:
> db.collection.remove()
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56. Delete (2)
• Delete specific rows in MySQL:
mysql> DELETE FROM table WHERE
column = value;
• Delete specific documents in MongoDB:
>
db.collection.remove({field:value})
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57. Delete (2)
• Delete a MySQL database
mysql> DROP DATABASE database;
• Delete a MongoDB database
> use database
> db.dropDatabase()
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58. Backup/Restore
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59. Export (1)
• Export a collection to a JSON file
• Ensure mongod is running
$ mongoexport --db database -collection collection --out path/
filename.json
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60. Export (2)
• Export a collection to a CSV file
• Ensure mongod is running
• A list of fields is required
$ mongoexport --db database -collection collection --fields
field1,field2,... --csv --out path/
filename.json
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61. Import
• Import a collection from a JSON, CSV, or
TSV file
• Ensure mongod is running
$ mongoimport --db database -collection collection < path/
filename.json
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62. Dump
• Dump a specified MySQL database:
$ mysqldump -u root --opt database
> path.filename.sql
• Dump all MongoDB databases:
• Ensure mongod is not running
$ mongodump --dbpath /data/db --out
path
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63. Live Demo!
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64. Package Components
(1)
• Core Processes
• mongod - core DB process
• mongos - controller & query router
(sharding)
• mongo - interactive JavaScript-based
shell
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65. Package Components
(2)
• Binary Import and Export
• mongodump - creates BSON dump files
• mongorestore - restores BSON dump
files
• bsondump - converts BSON to JSON
• mongooplog - streams oplog entries
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66. Package Components
(3)
• Data Import and Export
• mongoimport - imports JSON, CSV, or
TSV data formats
• mongoexport - exports to JSON, CSV,
or TSV data formats
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67. Package Components
(4)
• Diagnostic Tools
• mongostat - captures database
operations by type (insert, query, etc.)
• mongotop - tracks read/write activity
• mongosniff - provides tracing/sniffing
view into database activity
• mongoperf - performance testing tool
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68. Package Components
(5)
• GridFS
• mongofiles - provides a commandline interaction to a GridFS storage
system
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69. MongoDB Resources
(1)
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70. MongoDB Resources
(2)
• mongodb.org
• docs.mongodb.org
• mongodb.org/books
• mongodb.com/products/mongodb
• mongodb.com/reference
• bsonspec.org
• education.mongodb.com
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71. Thanks!
mike@redlich.net
@mpredli
javasig.org
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