SlideShare a Scribd company logo
1 of 18
Download to read offline
Call Data Analysis
for Asterisk & FreeSWITCH
      with MongoDB

     Arezqui Belaid @areskib
     <info@star2billing.com>
Problems to solve

             - Millions of Call records
             - Multiple sources
             - Multiple data formats
             - Replication
             - Fast Analytics
             - Multi-Tenant
             - Realtime
             - Fraud detection
Why MongoDB
- NoSQL - Schema-Less
- Capacity / Sharding
- Upserts
- Replication : Increase read capacity
- Async writes : Millions of entries / acceptable losses
- Compared to CouchDB - native drivers
What does it look like?   Dashboard
Hourly / Daily / Monthly reporting
Compare call traffic
World Map
Realtime
Under the hood
- FreeSWITCH (freeswitch.org)
- Asterisk (asterisk.org)
- Django (djangoproject.com)
- Celery (celeryproject.org)
- RabbitMQ (rabbitmq.com)
- Socket.IO (socket.io)
- MongoDB (mongo.org)
- PyMongo (api.mongo.org)
- and more...
Our Data - Call Detail Record (CDR)
1) Call info :



2) BSON :    CDR = {                                                'hangup_cause_q850':'20',
               ...                                                  'hangup_cause':'NORMAL_CLEARING',
               'callflow':{                                         'sip_received_ip':'192.168.1.21',
                 'caller_profile':{                                 'sip_from_host':'127.0.0.1',
                                                                    'tts_voice':'kal',7',
                   'username':'1000',
                                                                    'accountcode':'1000',
                   'destination_number':'5578193435',               'sip_user_agent':'Blink 0.2.8 (Linux)',
                   'ani':'71737224',                                'answerusec':'0',
                   'caller_id_name':'71737224',                     'caller_id':'71737224',
                   ...                                              'call_uuid':'adee0934-a51b-11e1-a18c-
                 },                                             00231470a30c',
                 ...                                                'answer_stamp':'2012-05-23 15:45:09.856463',
               },                                                   'outbound_caller_id_name':'FreeSWITCH',
               'variables':{                                        'billsec':'66',
                 'mduration':'12960',                               'progress_uepoch':'0',
                 'effective_caller_id_name':'Extension 1000',       'answermsec':'0',
                                                                    'sip_via_rport':'60536',
                 'outbound_caller_id_number':'0000000000',
                                                                    'uduration':'12959984',
                 'duration':'3',                                    'sip_local_sdp_str':'v=0no=FreeSWITCH
                 'end_stamp':'2012-05-23 15:45:12.856527',      1327491731n'
                 'answer_uepoch':'1327521953952257',              },
                 'billmsec':'12960',                            ...
             ...
3) Insert Mongo : db.cdr.insert(CDR);
Pre-Aggregate
Pre-Aggregate - Daily Collection
Produce data easier to manipulate :
              current_y_m_d = datetime.strptime(str(start_uepoch)[:10], "%Y-%m-%d")
              CDR_DAILY.update({
                       'date_y_m_d': current_y_m_d,
                       'destination_number': destination_number,
                       'hangup_cause_id': hangup_cause_id,
                       'accountcode': accountcode,
                       'switch_id': switch.id,
                   },{
                       '$inc':
                          {'calls': 1,
                           'duration': int(cdr['variables']['duration']) }
                   }, upsert=True)

Output db.CDR_DAILY.find() :
{ "_id" : ..., "date_y_m_d" : ISODate("2012-04-30T00:00:00Z"), "accountcode" : "1000", "calls" : 1, "destination_number"
: "0045277522", "duration" : 23, "hangup_cause_id" :9, "switch_id" :1 }
...


                                                                           - Faster to query pre-aggregate data
                                                           - Upsert is your friend / update if exists - insert if not
Map-Reduce - Emit Step
- MapReduce is a batch processing of data
- Applying to previous pre-aggregate collection (Faster / Less data)

             map = mark_safe(u'''
                 function(){
                      emit( {
                           a_Year: this.date_y_m_d.getFullYear(),
                           b_Month: this.date_y_m_d.getMonth() + 1,
                           c_Day: this.date_y_m_d.getDate(),
                           f_Switch: this.switch_id
                         },
                         {calldate__count: 1, duration__sum: this.duration} )
                 }''')
Map-Reduce - Reduce Step
Reduce Step is trivial, it simply sums up and counts :

             reduce = mark_safe(u'''
                 function(key,vals) {
                    var ret = {
                                calldate__count : 0,
                                duration__sum: 0,
                                duration__avg: 0
                            };

                         for (var i=0; i < vals.length; i++){
                            ret.calldate__count += parseInt(vals[i].calldate__count);
                            ret.duration__sum += parseInt(vals[i].duration__sum);
                         }
                         return ret;
                  }
                  ''')
Map-Reduce
Query :
                  out = 'aggregate_cdr_daily'
                  calls_in_day = daily_data.map_reduce(map, reduce, out, query=query_var)


Output db.aggregate_cdr_daily.find() :
{ "_id" : { "a_Year" : 2012, "b_Month" : 5, "c_Day" : 13, "f_Switch" :1 }, "value" : { "calldate__count" : 91,
"duration__sum" : 5559, "duration__avg" : 0 } }
{ "_id" : { "a_Year" : 2012, "b_Month" : 5, "c_Day" : 14, "f_Switch" :1 }, "value" : { "calldate__count" : 284,
"duration__sum" : 13318, "duration__avg" : 0 } }
...
Roadmap

- Quality monitoring
- Audio recording
- Add support for other telecoms switches
- Improve - refactor (Beta)
- Testing
- Listen and Learn
WAT else...?

- Website : http://www.cdr-stats.org

- Code : github.com/star2billing/cdr-stats

- FOSS / Licensed MPLv2

- Get started : Install script
  Try it, it's easy!!!
Questions ?
  Twitter : @areskib
Email : areski@gmail.com

Slides : http://goo.gl/TZLF9

More Related Content

What's hot

Certified Pseudonym Colligated with Master Secret Key
Certified Pseudonym Colligated with Master Secret KeyCertified Pseudonym Colligated with Master Secret Key
Certified Pseudonym Colligated with Master Secret KeyVijay Pasupathinathan, PhD
 
생산적인 개발을 위한 지속적인 테스트
생산적인 개발을 위한 지속적인 테스트생산적인 개발을 위한 지속적인 테스트
생산적인 개발을 위한 지속적인 테스트기룡 남
 
The Ring programming language version 1.8 book - Part 54 of 202
The Ring programming language version 1.8 book - Part 54 of 202The Ring programming language version 1.8 book - Part 54 of 202
The Ring programming language version 1.8 book - Part 54 of 202Mahmoud Samir Fayed
 
Writing SOLID C++ [gbgcpp meetup @ Zenseact]
Writing SOLID C++ [gbgcpp meetup @ Zenseact]Writing SOLID C++ [gbgcpp meetup @ Zenseact]
Writing SOLID C++ [gbgcpp meetup @ Zenseact]Dimitrios Platis
 
EWD 3 Training Course Part 24: Traversing a Document's Leaf Nodes
EWD 3 Training Course Part 24: Traversing a Document's Leaf NodesEWD 3 Training Course Part 24: Traversing a Document's Leaf Nodes
EWD 3 Training Course Part 24: Traversing a Document's Leaf NodesRob Tweed
 
Aggregation Pipeline Power++: MongoDB 4.2 파이프 라인 쿼리, 업데이트 및 구체화된 뷰 소개 [MongoDB]
Aggregation Pipeline Power++: MongoDB 4.2 파이프 라인 쿼리, 업데이트 및 구체화된 뷰 소개 [MongoDB]Aggregation Pipeline Power++: MongoDB 4.2 파이프 라인 쿼리, 업데이트 및 구체화된 뷰 소개 [MongoDB]
Aggregation Pipeline Power++: MongoDB 4.2 파이프 라인 쿼리, 업데이트 및 구체화된 뷰 소개 [MongoDB]MongoDB
 
Azure Video Analyzer OpenVino Extension Module on Raspberry Pi with Movidius
Azure Video Analyzer OpenVino Extension Module on Raspberry Pi with MovidiusAzure Video Analyzer OpenVino Extension Module on Raspberry Pi with Movidius
Azure Video Analyzer OpenVino Extension Module on Raspberry Pi with MovidiusKnowledge & Experience
 
Html5 game programming overview
Html5 game programming overviewHtml5 game programming overview
Html5 game programming overview민태 김
 
자바스크립트 비동기 코드(Javascript asyncronous code)
자바스크립트 비동기 코드(Javascript asyncronous code)자바스크립트 비동기 코드(Javascript asyncronous code)
자바스크립트 비동기 코드(Javascript asyncronous code)Kongson Park
 
Gaurav Jatav , BCA Third Year
Gaurav Jatav , BCA Third YearGaurav Jatav , BCA Third Year
Gaurav Jatav , BCA Third Yeardezyneecole
 

What's hot (14)

Certified Pseudonym Colligated with Master Secret Key
Certified Pseudonym Colligated with Master Secret KeyCertified Pseudonym Colligated with Master Secret Key
Certified Pseudonym Colligated with Master Secret Key
 
생산적인 개발을 위한 지속적인 테스트
생산적인 개발을 위한 지속적인 테스트생산적인 개발을 위한 지속적인 테스트
생산적인 개발을 위한 지속적인 테스트
 
Bitcoin & Bitcoin Mining
Bitcoin & Bitcoin MiningBitcoin & Bitcoin Mining
Bitcoin & Bitcoin Mining
 
The Ring programming language version 1.8 book - Part 54 of 202
The Ring programming language version 1.8 book - Part 54 of 202The Ring programming language version 1.8 book - Part 54 of 202
The Ring programming language version 1.8 book - Part 54 of 202
 
Writing SOLID C++ [gbgcpp meetup @ Zenseact]
Writing SOLID C++ [gbgcpp meetup @ Zenseact]Writing SOLID C++ [gbgcpp meetup @ Zenseact]
Writing SOLID C++ [gbgcpp meetup @ Zenseact]
 
EWD 3 Training Course Part 24: Traversing a Document's Leaf Nodes
EWD 3 Training Course Part 24: Traversing a Document's Leaf NodesEWD 3 Training Course Part 24: Traversing a Document's Leaf Nodes
EWD 3 Training Course Part 24: Traversing a Document's Leaf Nodes
 
J slider
J sliderJ slider
J slider
 
Aggregation Pipeline Power++: MongoDB 4.2 파이프 라인 쿼리, 업데이트 및 구체화된 뷰 소개 [MongoDB]
Aggregation Pipeline Power++: MongoDB 4.2 파이프 라인 쿼리, 업데이트 및 구체화된 뷰 소개 [MongoDB]Aggregation Pipeline Power++: MongoDB 4.2 파이프 라인 쿼리, 업데이트 및 구체화된 뷰 소개 [MongoDB]
Aggregation Pipeline Power++: MongoDB 4.2 파이프 라인 쿼리, 업데이트 및 구체화된 뷰 소개 [MongoDB]
 
Azure Video Analyzer OpenVino Extension Module on Raspberry Pi with Movidius
Azure Video Analyzer OpenVino Extension Module on Raspberry Pi with MovidiusAzure Video Analyzer OpenVino Extension Module on Raspberry Pi with Movidius
Azure Video Analyzer OpenVino Extension Module on Raspberry Pi with Movidius
 
Html5 game programming overview
Html5 game programming overviewHtml5 game programming overview
Html5 game programming overview
 
자바스크립트 비동기 코드(Javascript asyncronous code)
자바스크립트 비동기 코드(Javascript asyncronous code)자바스크립트 비동기 코드(Javascript asyncronous code)
자바스크립트 비동기 코드(Javascript asyncronous code)
 
JavaTalks: OOD principles
JavaTalks: OOD principlesJavaTalks: OOD principles
JavaTalks: OOD principles
 
Gaurav Jatav , BCA Third Year
Gaurav Jatav , BCA Third YearGaurav Jatav , BCA Third Year
Gaurav Jatav , BCA Third Year
 
HCE tutorial
HCE tutorialHCE tutorial
HCE tutorial
 

Viewers also liked

SIP Server Optimizations for Mobile Networks
SIP Server Optimizations for Mobile NetworksSIP Server Optimizations for Mobile Networks
SIP Server Optimizations for Mobile NetworksDaniel-Constantin Mierla
 
Newfies dialer Auto dialer Software
Newfies dialer Auto dialer SoftwareNewfies dialer Auto dialer Software
Newfies dialer Auto dialer SoftwareAreski Belaid
 
A2Billing : Turning VoIP into business
A2Billing : Turning VoIP into businessA2Billing : Turning VoIP into business
A2Billing : Turning VoIP into businessAreski Belaid
 
Aynchronous Processing in Kamailio Configuration File
Aynchronous Processing in Kamailio Configuration FileAynchronous Processing in Kamailio Configuration File
Aynchronous Processing in Kamailio Configuration FileDaniel-Constantin Mierla
 
Newfies-Dialer : Autodialer software - Documentation version 1.1.0
Newfies-Dialer : Autodialer software - Documentation version 1.1.0Newfies-Dialer : Autodialer software - Documentation version 1.1.0
Newfies-Dialer : Autodialer software - Documentation version 1.1.0Areski Belaid
 
Kamailio - Large Unified Communication Platforms
Kamailio - Large Unified Communication PlatformsKamailio - Large Unified Communication Platforms
Kamailio - Large Unified Communication PlatformsDaniel-Constantin Mierla
 
Push to Me: Mobile Push Notifications (Zend Framework)
Push to Me: Mobile Push Notifications (Zend Framework)Push to Me: Mobile Push Notifications (Zend Framework)
Push to Me: Mobile Push Notifications (Zend Framework)Mike Willbanks
 
Newfies dialer Brief Introduction
Newfies dialer Brief IntroductionNewfies dialer Brief Introduction
Newfies dialer Brief IntroductionAreski Belaid
 

Viewers also liked (9)

SIP Server Optimizations for Mobile Networks
SIP Server Optimizations for Mobile NetworksSIP Server Optimizations for Mobile Networks
SIP Server Optimizations for Mobile Networks
 
Newfies dialer Auto dialer Software
Newfies dialer Auto dialer SoftwareNewfies dialer Auto dialer Software
Newfies dialer Auto dialer Software
 
A2Billing : Turning VoIP into business
A2Billing : Turning VoIP into businessA2Billing : Turning VoIP into business
A2Billing : Turning VoIP into business
 
Aynchronous Processing in Kamailio Configuration File
Aynchronous Processing in Kamailio Configuration FileAynchronous Processing in Kamailio Configuration File
Aynchronous Processing in Kamailio Configuration File
 
Newfies-Dialer : Autodialer software - Documentation version 1.1.0
Newfies-Dialer : Autodialer software - Documentation version 1.1.0Newfies-Dialer : Autodialer software - Documentation version 1.1.0
Newfies-Dialer : Autodialer software - Documentation version 1.1.0
 
Kamailio - Large Unified Communication Platforms
Kamailio - Large Unified Communication PlatformsKamailio - Large Unified Communication Platforms
Kamailio - Large Unified Communication Platforms
 
Push to Me: Mobile Push Notifications (Zend Framework)
Push to Me: Mobile Push Notifications (Zend Framework)Push to Me: Mobile Push Notifications (Zend Framework)
Push to Me: Mobile Push Notifications (Zend Framework)
 
Newfies dialer Brief Introduction
Newfies dialer Brief IntroductionNewfies dialer Brief Introduction
Newfies dialer Brief Introduction
 
Asterisk, IM and Presence: how?
Asterisk, IM and Presence: how?Asterisk, IM and Presence: how?
Asterisk, IM and Presence: how?
 

Similar to Cdr stats-vo ip-analytics_solution_mongodb_meetup

Mongo db world 2014 billrun
Mongo db world 2014   billrunMongo db world 2014   billrun
Mongo db world 2014 billrunMongoDB
 
MongoDB World 2014 - BillRun, Billing on top of MongoDB
MongoDB World 2014 - BillRun, Billing on top of MongoDBMongoDB World 2014 - BillRun, Billing on top of MongoDB
MongoDB World 2014 - BillRun, Billing on top of MongoDBOfer Cohen
 
Assignment7.pdf
Assignment7.pdfAssignment7.pdf
Assignment7.pdfdash41
 
Map/Confused? A practical approach to Map/Reduce with MongoDB
Map/Confused? A practical approach to Map/Reduce with MongoDBMap/Confused? A practical approach to Map/Reduce with MongoDB
Map/Confused? A practical approach to Map/Reduce with MongoDBUwe Printz
 
Operational Intelligence with MongoDB Webinar
Operational Intelligence with MongoDB WebinarOperational Intelligence with MongoDB Webinar
Operational Intelligence with MongoDB WebinarMongoDB
 
[Pgday.Seoul 2021] 2. Porting Oracle UDF and Optimization
[Pgday.Seoul 2021] 2. Porting Oracle UDF and Optimization[Pgday.Seoul 2021] 2. Porting Oracle UDF and Optimization
[Pgday.Seoul 2021] 2. Porting Oracle UDF and OptimizationPgDay.Seoul
 
How I Built a Power Debugger Out of the Standard Library and Things I Found o...
How I Built a Power Debugger Out of the Standard Library and Things I Found o...How I Built a Power Debugger Out of the Standard Library and Things I Found o...
How I Built a Power Debugger Out of the Standard Library and Things I Found o...doughellmann
 
How I Built a Power Debugger Out of the Standard Library and Things I Found o...
How I Built a Power Debugger Out of the Standard Library and Things I Found o...How I Built a Power Debugger Out of the Standard Library and Things I Found o...
How I Built a Power Debugger Out of the Standard Library and Things I Found o...doughellmann
 
How to leverage what's new in MongoDB 3.6
How to leverage what's new in MongoDB 3.6How to leverage what's new in MongoDB 3.6
How to leverage what's new in MongoDB 3.6Maxime Beugnet
 
MongoDB Performance Tuning
MongoDB Performance TuningMongoDB Performance Tuning
MongoDB Performance TuningMongoDB
 
odoo json rpc.docx
odoo json rpc.docxodoo json rpc.docx
odoo json rpc.docxloufgxrtvct
 
MongoDB dla administratora
MongoDB dla administratora MongoDB dla administratora
MongoDB dla administratora 3camp
 
Using Change Streams to Keep Up with Your Data
Using Change Streams to Keep Up with Your DataUsing Change Streams to Keep Up with Your Data
Using Change Streams to Keep Up with Your DataMongoDB
 
Using Change Streams to Keep Up with Your Data
Using Change Streams to Keep Up with Your DataUsing Change Streams to Keep Up with Your Data
Using Change Streams to Keep Up with Your DataEvan Rodd
 
Describe the complete pipeline in ML using programming through PyTorch.pdf
Describe the complete pipeline in ML using programming through PyTorch.pdfDescribe the complete pipeline in ML using programming through PyTorch.pdf
Describe the complete pipeline in ML using programming through PyTorch.pdfBorisdFHFraserk
 
Powering Heap With PostgreSQL And CitusDB (PGConf Silicon Valley 2015)
Powering Heap With PostgreSQL And CitusDB (PGConf Silicon Valley 2015)Powering Heap With PostgreSQL And CitusDB (PGConf Silicon Valley 2015)
Powering Heap With PostgreSQL And CitusDB (PGConf Silicon Valley 2015)Dan Robinson
 
Work in TDW
Work in TDWWork in TDW
Work in TDWsaso70
 

Similar to Cdr stats-vo ip-analytics_solution_mongodb_meetup (20)

Mongo db world 2014 billrun
Mongo db world 2014   billrunMongo db world 2014   billrun
Mongo db world 2014 billrun
 
MongoDB World 2014 - BillRun, Billing on top of MongoDB
MongoDB World 2014 - BillRun, Billing on top of MongoDBMongoDB World 2014 - BillRun, Billing on top of MongoDB
MongoDB World 2014 - BillRun, Billing on top of MongoDB
 
Assignment7.pdf
Assignment7.pdfAssignment7.pdf
Assignment7.pdf
 
Map/Confused? A practical approach to Map/Reduce with MongoDB
Map/Confused? A practical approach to Map/Reduce with MongoDBMap/Confused? A practical approach to Map/Reduce with MongoDB
Map/Confused? A practical approach to Map/Reduce with MongoDB
 
UDP.yash
UDP.yashUDP.yash
UDP.yash
 
Operational Intelligence with MongoDB Webinar
Operational Intelligence with MongoDB WebinarOperational Intelligence with MongoDB Webinar
Operational Intelligence with MongoDB Webinar
 
[Pgday.Seoul 2021] 2. Porting Oracle UDF and Optimization
[Pgday.Seoul 2021] 2. Porting Oracle UDF and Optimization[Pgday.Seoul 2021] 2. Porting Oracle UDF and Optimization
[Pgday.Seoul 2021] 2. Porting Oracle UDF and Optimization
 
How I Built a Power Debugger Out of the Standard Library and Things I Found o...
How I Built a Power Debugger Out of the Standard Library and Things I Found o...How I Built a Power Debugger Out of the Standard Library and Things I Found o...
How I Built a Power Debugger Out of the Standard Library and Things I Found o...
 
Der perfekte 12c trigger
Der perfekte 12c triggerDer perfekte 12c trigger
Der perfekte 12c trigger
 
How I Built a Power Debugger Out of the Standard Library and Things I Found o...
How I Built a Power Debugger Out of the Standard Library and Things I Found o...How I Built a Power Debugger Out of the Standard Library and Things I Found o...
How I Built a Power Debugger Out of the Standard Library and Things I Found o...
 
How to leverage what's new in MongoDB 3.6
How to leverage what's new in MongoDB 3.6How to leverage what's new in MongoDB 3.6
How to leverage what's new in MongoDB 3.6
 
MongoDB Performance Tuning
MongoDB Performance TuningMongoDB Performance Tuning
MongoDB Performance Tuning
 
alexnet.pdf
alexnet.pdfalexnet.pdf
alexnet.pdf
 
odoo json rpc.docx
odoo json rpc.docxodoo json rpc.docx
odoo json rpc.docx
 
MongoDB dla administratora
MongoDB dla administratora MongoDB dla administratora
MongoDB dla administratora
 
Using Change Streams to Keep Up with Your Data
Using Change Streams to Keep Up with Your DataUsing Change Streams to Keep Up with Your Data
Using Change Streams to Keep Up with Your Data
 
Using Change Streams to Keep Up with Your Data
Using Change Streams to Keep Up with Your DataUsing Change Streams to Keep Up with Your Data
Using Change Streams to Keep Up with Your Data
 
Describe the complete pipeline in ML using programming through PyTorch.pdf
Describe the complete pipeline in ML using programming through PyTorch.pdfDescribe the complete pipeline in ML using programming through PyTorch.pdf
Describe the complete pipeline in ML using programming through PyTorch.pdf
 
Powering Heap With PostgreSQL And CitusDB (PGConf Silicon Valley 2015)
Powering Heap With PostgreSQL And CitusDB (PGConf Silicon Valley 2015)Powering Heap With PostgreSQL And CitusDB (PGConf Silicon Valley 2015)
Powering Heap With PostgreSQL And CitusDB (PGConf Silicon Valley 2015)
 
Work in TDW
Work in TDWWork in TDW
Work in TDW
 

More from christkv

From SQL to MongoDB
From SQL to MongoDBFrom SQL to MongoDB
From SQL to MongoDBchristkv
 
New in MongoDB 2.6
New in MongoDB 2.6New in MongoDB 2.6
New in MongoDB 2.6christkv
 
Lessons from 4 years of driver develoment
Lessons from 4 years of driver develomentLessons from 4 years of driver develoment
Lessons from 4 years of driver develomentchristkv
 
Storage talk
Storage talkStorage talk
Storage talkchristkv
 
Mongo db ecommerce
Mongo db ecommerceMongo db ecommerce
Mongo db ecommercechristkv
 
Mongodb intro
Mongodb introMongodb intro
Mongodb introchristkv
 
Schema design
Schema designSchema design
Schema designchristkv
 
Node js mongodriver
Node js mongodriverNode js mongodriver
Node js mongodriverchristkv
 
Node.js and ruby
Node.js and rubyNode.js and ruby
Node.js and rubychristkv
 

More from christkv (9)

From SQL to MongoDB
From SQL to MongoDBFrom SQL to MongoDB
From SQL to MongoDB
 
New in MongoDB 2.6
New in MongoDB 2.6New in MongoDB 2.6
New in MongoDB 2.6
 
Lessons from 4 years of driver develoment
Lessons from 4 years of driver develomentLessons from 4 years of driver develoment
Lessons from 4 years of driver develoment
 
Storage talk
Storage talkStorage talk
Storage talk
 
Mongo db ecommerce
Mongo db ecommerceMongo db ecommerce
Mongo db ecommerce
 
Mongodb intro
Mongodb introMongodb intro
Mongodb intro
 
Schema design
Schema designSchema design
Schema design
 
Node js mongodriver
Node js mongodriverNode js mongodriver
Node js mongodriver
 
Node.js and ruby
Node.js and rubyNode.js and ruby
Node.js and ruby
 

Recently uploaded

Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityPlatformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityWSO2
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...apidays
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDropbox
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Victor Rentea
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxRustici Software
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesrafiqahmad00786416
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Victor Rentea
 
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with MilvusExploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with MilvusZilliz
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfOrbitshub
 
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal OntologySix Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontologyjohnbeverley2021
 
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​Bhuvaneswari Subramani
 
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Zilliz
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Jeffrey Haguewood
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MIND CTI
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAndrey Devyatkin
 
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelMcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelDeepika Singh
 
WSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native ApplicationsWSO2
 
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWERMadyBayot
 

Recently uploaded (20)

Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityPlatformless Horizons for Digital Adaptability
Platformless Horizons for Digital Adaptability
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
 
Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..
 
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with MilvusExploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with Milvus
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
 
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal OntologySix Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontology
 
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
 
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelMcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
 
WSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering Developers
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
 
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
 

Cdr stats-vo ip-analytics_solution_mongodb_meetup

  • 1. Call Data Analysis for Asterisk & FreeSWITCH with MongoDB Arezqui Belaid @areskib <info@star2billing.com>
  • 2. Problems to solve - Millions of Call records - Multiple sources - Multiple data formats - Replication - Fast Analytics - Multi-Tenant - Realtime - Fraud detection
  • 3. Why MongoDB - NoSQL - Schema-Less - Capacity / Sharding - Upserts - Replication : Increase read capacity - Async writes : Millions of entries / acceptable losses - Compared to CouchDB - native drivers
  • 4. What does it look like? Dashboard
  • 5. Hourly / Daily / Monthly reporting
  • 9. Under the hood - FreeSWITCH (freeswitch.org) - Asterisk (asterisk.org) - Django (djangoproject.com) - Celery (celeryproject.org) - RabbitMQ (rabbitmq.com) - Socket.IO (socket.io) - MongoDB (mongo.org) - PyMongo (api.mongo.org) - and more...
  • 10. Our Data - Call Detail Record (CDR) 1) Call info : 2) BSON : CDR = { 'hangup_cause_q850':'20', ... 'hangup_cause':'NORMAL_CLEARING', 'callflow':{ 'sip_received_ip':'192.168.1.21', 'caller_profile':{ 'sip_from_host':'127.0.0.1', 'tts_voice':'kal',7', 'username':'1000', 'accountcode':'1000', 'destination_number':'5578193435', 'sip_user_agent':'Blink 0.2.8 (Linux)', 'ani':'71737224', 'answerusec':'0', 'caller_id_name':'71737224', 'caller_id':'71737224', ... 'call_uuid':'adee0934-a51b-11e1-a18c- }, 00231470a30c', ... 'answer_stamp':'2012-05-23 15:45:09.856463', }, 'outbound_caller_id_name':'FreeSWITCH', 'variables':{ 'billsec':'66', 'mduration':'12960', 'progress_uepoch':'0', 'effective_caller_id_name':'Extension 1000', 'answermsec':'0', 'sip_via_rport':'60536', 'outbound_caller_id_number':'0000000000', 'uduration':'12959984', 'duration':'3', 'sip_local_sdp_str':'v=0no=FreeSWITCH 'end_stamp':'2012-05-23 15:45:12.856527', 1327491731n' 'answer_uepoch':'1327521953952257', }, 'billmsec':'12960', ... ... 3) Insert Mongo : db.cdr.insert(CDR);
  • 12. Pre-Aggregate - Daily Collection Produce data easier to manipulate : current_y_m_d = datetime.strptime(str(start_uepoch)[:10], "%Y-%m-%d") CDR_DAILY.update({ 'date_y_m_d': current_y_m_d, 'destination_number': destination_number, 'hangup_cause_id': hangup_cause_id, 'accountcode': accountcode, 'switch_id': switch.id, },{ '$inc': {'calls': 1, 'duration': int(cdr['variables']['duration']) } }, upsert=True) Output db.CDR_DAILY.find() : { "_id" : ..., "date_y_m_d" : ISODate("2012-04-30T00:00:00Z"), "accountcode" : "1000", "calls" : 1, "destination_number" : "0045277522", "duration" : 23, "hangup_cause_id" :9, "switch_id" :1 } ... - Faster to query pre-aggregate data - Upsert is your friend / update if exists - insert if not
  • 13. Map-Reduce - Emit Step - MapReduce is a batch processing of data - Applying to previous pre-aggregate collection (Faster / Less data) map = mark_safe(u''' function(){ emit( { a_Year: this.date_y_m_d.getFullYear(), b_Month: this.date_y_m_d.getMonth() + 1, c_Day: this.date_y_m_d.getDate(), f_Switch: this.switch_id }, {calldate__count: 1, duration__sum: this.duration} ) }''')
  • 14. Map-Reduce - Reduce Step Reduce Step is trivial, it simply sums up and counts : reduce = mark_safe(u''' function(key,vals) { var ret = { calldate__count : 0, duration__sum: 0, duration__avg: 0 }; for (var i=0; i < vals.length; i++){ ret.calldate__count += parseInt(vals[i].calldate__count); ret.duration__sum += parseInt(vals[i].duration__sum); } return ret; } ''')
  • 15. Map-Reduce Query : out = 'aggregate_cdr_daily' calls_in_day = daily_data.map_reduce(map, reduce, out, query=query_var) Output db.aggregate_cdr_daily.find() : { "_id" : { "a_Year" : 2012, "b_Month" : 5, "c_Day" : 13, "f_Switch" :1 }, "value" : { "calldate__count" : 91, "duration__sum" : 5559, "duration__avg" : 0 } } { "_id" : { "a_Year" : 2012, "b_Month" : 5, "c_Day" : 14, "f_Switch" :1 }, "value" : { "calldate__count" : 284, "duration__sum" : 13318, "duration__avg" : 0 } } ...
  • 16. Roadmap - Quality monitoring - Audio recording - Add support for other telecoms switches - Improve - refactor (Beta) - Testing - Listen and Learn
  • 17. WAT else...? - Website : http://www.cdr-stats.org - Code : github.com/star2billing/cdr-stats - FOSS / Licensed MPLv2 - Get started : Install script Try it, it's easy!!!
  • 18. Questions ? Twitter : @areskib Email : areski@gmail.com Slides : http://goo.gl/TZLF9