What's New in MongoDB 2.4

Improvements made across…

•  Development

•  Operations

•  Performance

•  Security

•  Enterprise Features

MongoDB 2.4 Developer Improvements

Geospatial

New Geospatial Features

•  Polygon intersections

•  More accurate spherical model

•  $near and $within work with Aggregation Framework

•  Analytics now location-aware

GeoJSON

•  Geospatial interchange format based on JSON

•  Supports Points, LineStrings & Polygons

•  Complete spec available at http://geojson.org

Point1 = {

type : "Point",

coordinates : [-73.947807, 40.663973]

}

somePoly = {

type : "Polygon",

coordinates : [[[40,5], [40,6],

[41,6], [41,5], [40,5]]]

}

GeoJSON

$GeoIntersects

•  Leverages GeoJSON

•  Geospatial query operator that selects all locations that intersect with a GeoJSON object

•  Uses spherical geometry

point1 = { type: "Point", coordinates: [40, 5.5]}

line1 = { type: "LineString",

coordinates: [[40, 3.5], [40, 4.5]]};

somePoly = { type : "Polygon",

coordinates : [[[40,5], [40,6],

[41,6], [41,5], [40,5]]]};

res = c.find({ geo : {

"$geoIntersects" :

{"$geometry" : somePoly}

}});

$GeoIntersects

Aggregation Framework

New Aggregation Framework Features •  Introduced in 2.2, came of age in 2.4

•  Performance Improvements •  3 – 5 x faster

•  Geo $near and $within support

•  $concat support

•  Support for Binary Data (pass through)

Text Search (beta)

Text Search (beta)

•  Real-time indexes

•  Case-insensitive

•  Stemming, tokenization & stop words for 15 languages

•  Index size is comparable with other full text search implementations (larger than standard MongoDB indexes)

•  BETA status… please use in dev & give feedback

Stemming Examples

•  { walk, walked, walking, walks } ⇒ walk

•  {magazine, magazines, magazine’s } ⇒ magazine

•  {runs, running, run, ran } ⇒ { run, ran }

Examples of English Stop Words

{ am, themselves, of, before, here, while, what's, myself, ought, me, the, into, about, this, do, can't, a, ... }

Option 1: on the command line

$ mongod --setParameter textSearchEnabled=true

Option 2: as admin command to mongod or mongos

> db.adminCommand(

{ setParameter: 1, textSearchEnabled: true }

)

Enabling Text Search

db.t.ensureIndex( { title: "text", post: "text" }, { weights: { title: 10, post: 5 }} )

Create a Text Search Index

db.t.runCommand( "text", { search: "\"my first blog entry\"" } );

Run a Text Search Command

{ "queryDebugString":"blog|entri|first||||my first blog entry||", "language" : "english", "results" : [{ "score" : 12, "obj" : { "_id" : 1, "title" : "1st post", "post" : "this is my first blog entry." }}], "stats" : { "nscanned" : 7, "nscannedObjects" : 0, "n" : 0, "nfound" : 1, "timeMicros" : 122 }, "ok" : 1 }

Text Search Result

Note: debug string shows the stemmed terms, stop-words deleted

New Update Operators

Capped Arrays

•  Provides the ability to manipulate arrays with more control than ever before

•  $push now supports the following:

•  $each permits pushing multiple entries onto an array

•  $slice maintains a fixed size array

•  Can be stacked with $sort

db.students.update(!

{ _id: 1 },!

{ $push: {!

scores: {!

$each: [!

{ attempt: 3, score: 7 },!

{ attempt: 4, score: 4 } ],!

$sort: { score: 1 },!

$slice: -3!

}!

}}!

)

Top 3 Scores

New Upsert Operator

db.products.update(!

{ _id: 1 },!

{ $setOnInsert: { defaultQty: 500, inStock: true },!

$set: { item: "apple" } },!

{ upsert: true }!

)

$setOnInsert

MongoDB 2.4 Operational Improvements

Hash-based Sharding

Hash-based Sharding •  Easier to manage clusters

•  Less rebalancing  •  More event distribution for reads and writes

•  Lower potential performance from range based, but more consistent.

•  The hash stored in the hashed index is 64 bits of the 128 bit md5 hash

•  MongoDB can use the hashed index to support equality queries, but hashed indexes do not support range queries.

db.activeCollection.ensureIndex( { field_to_hash: "hashed" } )

Creating a Hashed Shard Key

Working Set Analyzer

Working Set Analyzer

•  Working Set: The set of data kept in memory

•  MongoDB performance best when working set < RAM

•  Working set analyzer measures resources used over time

•  Leads to more efficient MongoDB usage

db.serverStatus( { workingSet: 1 } )

db.runCommand( { serverStatus: 1, workingSet: 1 } )

"workingSet" : {

"note" : "thisIsAnEstimate",

"pagesInMemory" : <num>,

"computationTimeMicros" : <num>,

"overSeconds" : num

},

MongoStatus

Index Operation Management

Index Operation Management

•  A single mongod instance can build multiple indexes in the background at the same time.

•  db.killOp() can now kill foreground index builds

•  Improved validation of index types

db.currentOp() { "inprog" : [ { "opid" : 45, "active" : true, "secs_running" : 2, "op" : "insert", "ns" : "test.system.indexes", ... }] } db.killOp(45)

Index Operation Management

Replication Improvements

Role Based Privileges

Replication Improvements

•  Better detection of network hiccups (less false negatives)

•  Faster initial sync when adding new secondary

MongoDB 2.4 Performance Improvements

V8 JavaScript Engine

•  Affects all JS processing including MapReduce, the shell and $where queries 

•  Greater concurrency

•  User feedback very positive indicating dramatic improvement in overall processing time with new V8

Improvements All Over

•  Aggregation 3x – 5x faster

•  Faster Counting – Low-cardinality index-based counts up to 20x faster – Better performance on counting, e.g., count all the

males/females in my user list

•  Faster $elemMatch

MongoDB 2.4 Security Improvements

Role Based Privileges

Role Based Privileges

•  Builds on access controls introduced in 2.2

•  Users granted roles that have specific privileges per database

•  Users can have multiple roles

•  Roles include –  read –  readWrite –  userAdmin –  dbAdmin –  clusterAdmin

Role Based Privileges

Enhanced SSL Support

•  Supported in open source edition of MongoDB

•  Must be compiled using --ssl flag

•  Uses a standard .pem file that contains the SSL certificate and key

•  Complete directions available in the MongoDB documentation http://docs.mongodb.org/manual/administration/ssl/

Introducing MongoDB Enterprise 2.4

MongoDB Enterprise •  Advanced Security

–  Kerberos authentication protocol –  SSL support built in

•  Monitoring –  On-Prem Monitoring - visualization, alerts on 100+ system metrics –  Includes same features as (MMS)

•  Enterprise Software Integration –  SNMP supports integration w/popular monitoring tools (e.g., Nagios )

•  Certified OS Support –  Red Hat/CentOS, Ubuntu and Amazon Linux

Subscriptions

Basic Standard Enterprise

Edition MongoDB MongoDB MongoDB Enterprise

SLA 4 hours 1 Hour 30 Minutes

Support 9am – 9pm ET

M – F 24x7x365 24x7x365

License AGPL Commercial Commercial

Price per Host $2,500 $5,000 $7,500