The document discusses MongoDB database architecture and examples of data structures. It provides examples of adding fields to objects and storing comment replies. It also summarizes MongoDB monitoring tools and concepts like sharding.
This talk is focused on tuning analysing and optimizing MongoDB query and index with the use of Database Profiler and "explain()" function.
Also, performance of database can also be impacted by configuring the underline ( Linux ) OS with some recommended settings which do not come by default.
MongoDB Europe 2016 - Debugging MongoDB PerformanceMongoDB
Asya is back, and so is Sherlock Holmes and his techniques to gather and analyze data from your poorly performing MongoDB clusters. In this advanced talk we take a deep look at all the diagnostic data that lives inside MongoDB - how to interrogate and interpret it to help you solve those frustrating performance bottlenecks that we all face occasionally.
Webinar: General Technical Overview of MongoDB for Dev TeamsMongoDB
In this talk we will focus on several of the reasons why developers have come to love the richness, flexibility, and ease of use that MongoDB provides. First we will give a brief introduction of MongoDB, comparing and contrasting it to the traditional relational database. Next, we’ll give an overview of the APIs and tools that are part of the MongoDB ecosystem. Then we’ll look at how MongoDB CRUD (Create, Read, Update, Delete) operations work, and also explore query, update, and projection operators. Finally, we will discuss MongoDB indexes and look at some examples of how indexes are used.
Mythbusting: Understanding How We Measure the Performance of MongoDBMongoDB
Benchmarking, benchmarking, benchmarking. We all do it, mostly it tells us what we want to hear but often hides a mountain of misinformation. In this talk we will walk through the pitfalls that you might find yourself in by looking at some examples where things go wrong. We will then walk through how MongoDB performance is measured, the processes and methodology and ways to present and look at the information.
This talk is focused on tuning analysing and optimizing MongoDB query and index with the use of Database Profiler and "explain()" function.
Also, performance of database can also be impacted by configuring the underline ( Linux ) OS with some recommended settings which do not come by default.
MongoDB Europe 2016 - Debugging MongoDB PerformanceMongoDB
Asya is back, and so is Sherlock Holmes and his techniques to gather and analyze data from your poorly performing MongoDB clusters. In this advanced talk we take a deep look at all the diagnostic data that lives inside MongoDB - how to interrogate and interpret it to help you solve those frustrating performance bottlenecks that we all face occasionally.
Webinar: General Technical Overview of MongoDB for Dev TeamsMongoDB
In this talk we will focus on several of the reasons why developers have come to love the richness, flexibility, and ease of use that MongoDB provides. First we will give a brief introduction of MongoDB, comparing and contrasting it to the traditional relational database. Next, we’ll give an overview of the APIs and tools that are part of the MongoDB ecosystem. Then we’ll look at how MongoDB CRUD (Create, Read, Update, Delete) operations work, and also explore query, update, and projection operators. Finally, we will discuss MongoDB indexes and look at some examples of how indexes are used.
Mythbusting: Understanding How We Measure the Performance of MongoDBMongoDB
Benchmarking, benchmarking, benchmarking. We all do it, mostly it tells us what we want to hear but often hides a mountain of misinformation. In this talk we will walk through the pitfalls that you might find yourself in by looking at some examples where things go wrong. We will then walk through how MongoDB performance is measured, the processes and methodology and ways to present and look at the information.
Developers love MongoDB because its flexible document model enhances their productivity. But did you know that MongoDB supports rich queries and lets you accomplish some of the same things you currently do with SQL statements? And that MongoDB's powerful aggregation framework makes it possible to perform real-time analytics for dashboards and reports?
Attend this webinar for an introduction to the MongoDB aggregation framework and a walk through of what you can do with it. We'll also demo using it to analyze U.S. census data.
MongoDB Europe 2016 - Enabling the Internet of Things at Proximus - Belgium's...MongoDB
Proximus is one of the biggest Telecom companies in the Belgian market. This year the company began developing a new IoT network using LoRaWan technology. The talk will detail our development team’s search for a database suited to meet the needs of our IoT project, the selection and implementation of MongoDB as a database, as well as well as how we built a system for storing a variety of sensor data with high throughput by leveraging sleepy.mongoose. The talk will also discuss how different decisions around data storage impact applications in regards to both performance and total cost.
MongoDB San Francisco 2013: Data Modeling Examples From the Real World presen...MongoDB
In this session, we'll examine schema design insights and trade-offs using real world examples. We'll look at three example applications: building an email inbox, selecting a shard key for a large scale web application, and using MongoDB to store user profiles. From these examples you should leave the session with an idea of the advantages and disadvantages of various approaches to modeling your data in MongoDB. Attendees should be well versed in basic schema design and familiar with concepts in the morning's basic schema design talk. No beginner topics will be covered in this session.
Map/Confused? A practical approach to Map/Reduce with MongoDBUwe Printz
Talk given at MongoDb Munich on 16.10.2012 about the different approaches in MongoDB for using the Map/Reduce algorithm. The talk compares the performance of built-in MongoDB Map/Reduce, group(), aggregate(), find() and the MongoDB-Hadoop Adapter using a practical use case.
Webinar: Exploring the Aggregation FrameworkMongoDB
Developers love MongoDB because its flexible document model enhances their productivity. But did you know that MongoDB supports rich queries and lets you accomplish some of the same things you currently do with SQL statements? And that MongoDB's powerful aggregation framework makes it possible to perform real-time analytics for dashboards and reports?
Watch this webinar for an introduction to the MongoDB aggregation framework and a walk through of what you can do with it. We'll also demo an analysis of U.S. census data.
This presentation will demonstrate how you can use the aggregation pipeline with MongoDB similar to how you would use GROUP BY in SQL and the new stage operators coming 3.4. MongoDB’s Aggregation Framework has many operators that give you the ability to get more value out of your data, discover usage patterns within your data, or use the Aggregation Framework to power your application. Considerations regarding version, indexing, operators, and saving the output will be reviewed.
The Internet of Things (IoT) is the network of physical objects or "things" embedded with electronics, software, sensors, and network connectivity, which enables these objects to collect and exchange data. .The Internet of Things allows objects to be sensed and controlled remotely across existing network infrastructure .
Developers love MongoDB because its flexible document model enhances their productivity. But did you know that MongoDB supports rich queries and lets you accomplish some of the same things you currently do with SQL statements? And that MongoDB's powerful aggregation framework makes it possible to perform real-time analytics for dashboards and reports?
Attend this webinar for an introduction to the MongoDB aggregation framework and a walk through of what you can do with it. We'll also demo using it to analyze U.S. census data.
MongoDB Europe 2016 - Enabling the Internet of Things at Proximus - Belgium's...MongoDB
Proximus is one of the biggest Telecom companies in the Belgian market. This year the company began developing a new IoT network using LoRaWan technology. The talk will detail our development team’s search for a database suited to meet the needs of our IoT project, the selection and implementation of MongoDB as a database, as well as well as how we built a system for storing a variety of sensor data with high throughput by leveraging sleepy.mongoose. The talk will also discuss how different decisions around data storage impact applications in regards to both performance and total cost.
MongoDB San Francisco 2013: Data Modeling Examples From the Real World presen...MongoDB
In this session, we'll examine schema design insights and trade-offs using real world examples. We'll look at three example applications: building an email inbox, selecting a shard key for a large scale web application, and using MongoDB to store user profiles. From these examples you should leave the session with an idea of the advantages and disadvantages of various approaches to modeling your data in MongoDB. Attendees should be well versed in basic schema design and familiar with concepts in the morning's basic schema design talk. No beginner topics will be covered in this session.
Map/Confused? A practical approach to Map/Reduce with MongoDBUwe Printz
Talk given at MongoDb Munich on 16.10.2012 about the different approaches in MongoDB for using the Map/Reduce algorithm. The talk compares the performance of built-in MongoDB Map/Reduce, group(), aggregate(), find() and the MongoDB-Hadoop Adapter using a practical use case.
Webinar: Exploring the Aggregation FrameworkMongoDB
Developers love MongoDB because its flexible document model enhances their productivity. But did you know that MongoDB supports rich queries and lets you accomplish some of the same things you currently do with SQL statements? And that MongoDB's powerful aggregation framework makes it possible to perform real-time analytics for dashboards and reports?
Watch this webinar for an introduction to the MongoDB aggregation framework and a walk through of what you can do with it. We'll also demo an analysis of U.S. census data.
This presentation will demonstrate how you can use the aggregation pipeline with MongoDB similar to how you would use GROUP BY in SQL and the new stage operators coming 3.4. MongoDB’s Aggregation Framework has many operators that give you the ability to get more value out of your data, discover usage patterns within your data, or use the Aggregation Framework to power your application. Considerations regarding version, indexing, operators, and saving the output will be reviewed.
The Internet of Things (IoT) is the network of physical objects or "things" embedded with electronics, software, sensors, and network connectivity, which enables these objects to collect and exchange data. .The Internet of Things allows objects to be sensed and controlled remotely across existing network infrastructure .
In our sixth annual Technology Trends report, we outline eight trends that could potentially disrupt the way businesses engage their customers, how work gets done, and how markets and industries evolve.
Stay ahead of the technology curve with Deloitte's Tech Trends reports: http://deloi.tt/2wfFfFB
This year’s MIT Sloan Management Review and Deloitte global study of digital business found that digital transformation isn’t really about the technologies. Instead, it stems from how companies integrate them to transform their businesses and how they work.
Explore more findings from the 2015 digital business global executive study and research project: http://deloi.tt/2flnRZ8
Moving digital transformation forward: Findings from the 2016 digital busines...Deloitte United States
Are you ready for a digital future? Nearly 90 percent of managers and executives surveyed expect “great” or “moderate” digital disruption, but fewer than half say their organizations are adequately preparing. Companies can take steps toward digital maturity, though—without necessarily putting technologists in charge.
To read more and download the full report, visit: http://deloi.tt/2fnahoe
Trends in media and entertainment are causing us to wonder and to think again about the evolution of the media and tech ecosystem – and how media and tech businesses will grow their companies.
"What Matters" is Activate's look at the ideas that companies at the intersection of media, technology and entertainment will use to grow their businesses.
A lecture focusing on how to create a solid and differentiated digital roadmap.
• How to plan for changing consumer expectations
• How to approach digital strategy planning
• What a social media maturity model looks like and how to apply it to your own roadmap efforts.
On Friday 29th January, Jo gave a presentation on managing your Digital Transformation at Bryo, a network of young entrepreneurs.
Need help with your transformation? Contact us:
http://www.duvalunionconsulting.com/
To obtain a foundational understanding of how the Internet of Things applies to your business, begin by exploring the answers to five key questions. To learn more, check out our special Internet of Things section in Deloitte Review Issue 17: http://deloi.tt/1TwfcmI
How are companies creating value from big data? They're developing a meaningful understanding of the users they're working to connect with through data from publishers and advertisers, and not just in real time.
Words are incredibly important in sales, so we wanted to learn which words are most important. It turns out these 13 words are some of the best to close deals and earn prospects trust.
Top Digital Transformation Trends and Priorities for 2016Charlene Li
Given the importance of digital transformation and the never ending onslaught of new technologies, how should organization prioritize limited resources, time, and attention? This presentation to the San Francisco American Marketing Association is the 7th year in a row when Charlene has presented her take of top digital trends.
Media owners are turning to MongoDB to drive social interaction with their published content. The way customers consume information has changed and passive communication is no longer enough. They want to comment, share and engage with publishers and their community through a range of media types and via multiple channels whenever and wherever they are. There are serious challenges with taking this semi-structured and unstructured data and making it work in a traditional relational database. This webinar looks at how MongoDB’s schemaless design and document orientation gives organisation’s like the Guardian the flexibility to aggregate social content and scale out.
Relational databases are central to web applications, but they have also been the primary source of pain when it comes to scale and performance. Recently, non-relational databases (also referred to as NoSQL) have arrived on the scene. This session explains not only what MongoDB is and how it works, but when and how to gain the most benefit.
Building a Scalable Inbox System with MongoDB and Javaantoinegirbal
Many user-facing applications present some kind of news feed/inbox system. You can think of Facebook, Twitter, or Gmail as different types of inboxes where the user can see data of interest, sorted by time, popularity, or other parameter. A scalable inbox is a difficult problem to solve: for millions of users, varied data from many sources must be sorted and presented within milliseconds. Different strategies can be used: scatter-gather, fan-out writes, and so on. This session presents an actual application developed by 10gen in Java, using MongoDB. This application is open source and is intended to show the reference implementation of several strategies to tackle this common challenge. The presentation also introduces many MongoDB concepts.
MongoDB for Coder Training (Coding Serbia 2013)Uwe Printz
Slides of my MongoDB Training given at Coding Serbia Conference on 18.10.2013
Agenda:
1. Introduction to NoSQL & MongoDB
2. Data manipulation: Learn how to CRUD with MongoDB
3. Indexing: Speed up your queries with MongoDB
4. MapReduce: Data aggregation with MongoDB
5. Aggregation Framework: Data aggregation done the MongoDB way
6. Replication: High Availability with MongoDB
7. Sharding: Scaling with MongoDB
Back to Basics Webinar 3 - Thinking in DocumentsJoe Drumgoole
Working with a document database requires that you "rewire" your brain. In this talk we discuss denormalisation, object embedding and the use of multiple collections.
MongoDB, PHP and the cloud - php cloud summit 2011Steven Francia
An introduction to using MongoDB with PHP.
Walking through the basics of schema design, connecting to a DB, performing CRUD operations and queries in PHP.
MongoDB runs great in the cloud, but there are some things you should know. In this session we'll explore scaling and performance characteristics of running Mongo in the cloud as well as best practices for running on platforms like Amazon EC2.
Back to Basics Webinar 3: Schema Design Thinking in DocumentsMongoDB
This is the third webinar of a Back to Basics series that will introduce you to the MongoDB database. This webinar will explain the architecture of document databases.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
5. It’s very easy to add a new nodes to a replica set
Start the process on the new server:
mkdir /data/db
mongod --port xxx --dbpath /data/db --replSet setname
Add the node on the Primary DB
rs.add(“[hostname]:port”);
6.
7. Most of the operations we perform on the analytics db are atomic in-place updates :
analytics.heatmap.update(
{
homepage_id:"4ecfb4eefcda248b89000003",
uri : "/ron-paul-slams-trump-joins-huntsman-in-sitting-out-circus-like-debate-2011-12"
},
{
$inc : {views : 1},
$set : {updated_at : {"sec":1329587057,"usec":175000}} }},
true // upsert
)
12. Example: adding a new field to an object
In the console
> var myObj = {name: 'julie', role: "developer"}
//creates the foo collection and inserts an object
> db.foo.save(myObj)
> db.foo.find()
{ "_id" : ObjectId("4f418251f4dd8d3d88a776ea"), "name" : "julie", "role" : "developer" }
// Add a new field
var julie = db.foo.findOne()
{
"_id" : ObjectId("4f418251f4dd8d3d88a776ea"),
"name" : "julie",
"role" : "developer"
}
> julie.last_name = "sommerville'
> db.foo.save(julie)
> db.foo.find().pretty()
{
"_id" : ObjectId("4f418251f4dd8d3d88a776ea"),
"name" : "julie",
"role" : "developer",
"last_name" : "sommerville"
}
(pretty just makes it pretty)
13.
14. Some Examples from our DB
Post Object: contains comments, many posts will have way more than a couple of comments
db.blog.posts.findOne({comments : {$exists:true}, comment_count : {$gte: 1}, ts : {$gte: start}})
{
"_id" : ObjectId("4d4798c949e2aef0100d0000"),
"attached_images" : [ ],
"author" : "Ed Dolan",
"author_id" : ObjectId("4d121ca0ccd1d5d337000000"),
"autotweet" : false,
"badges" : [ ],
"browser_title" : null,
"categories" : [ ],
"cls" : "entry",
"comment_count" : 1,
"comment_thread_count" : 1,
"comments" : [
{
"cid" : ObjectId("4d482923cadcbb310a080000"),
"ts" : ISODate("2011-02-01T15:39:15.541Z"),
"ip" : "113.53.150.3",
"author" : "kenhow",
"email" : "info@howincorporated.com",
"url" : "http://howincorporated.com",
"user_id" : ObjectId("4d32fceaccd1d53d7b010000"),
"text" : "In other words: nothing to worry about"
}
],
15. We also store the Replies to comments :
{
"author" : "LS",
"cid" : ObjectId("4eda72376bb3f72279000009"),
"email" : "lawrenceshapiro@gmail.com",
"flags" : [ ],
"ip" : "74.68.112.217",
"rate_down" : 0,
"rate_up" : 6,
"raters" : {
"$ref" : "blog.comments.raters",
"$id" : ObjectId("4eda72376bb3f72279000008")
},
"replies" : [
{
"cid" : ObjectId("4eda800b69beddf55900004f"),
"author" : "Skepticus Maximus",
"email" : "henry1807@yahoo.com",
"flags" : [ ],
"ip" : "66.159.194.20",
"rate_down" : 0,
"rate_up" : 1,
"raters" : {
"$ref" : "blog.comments.raters",
"$id" : ObjectId("4eda800b69beddf55900004e")
},
"reply" : ObjectId("4eda72376bb3f72279000009"),
"reply_author" : "LS",
"text" : "No, it's perfectly natural - nature's way to make sure the species continues",
"ts" : ISODate("2011-12-03T20:01:15.930Z"),
"url" : "",
"session_id" : ObjectId("4eda76e3eab8ea9f4d00003d")
},
* Fast retrieval - no joins
16.
17.
18.
19. MMS (MongoDB Monitoring Service)
* Really nice stats with the ability to “zoom” in (minute, 5min, hour etc.).
* If the data base is acting up you can go in and see where the problem may lie
-- Num Collections
-- Data Size in the DB and in storage
-- Avg. doc size
-- Index Sizes
-- Replica Set Stats
-- page faults
-- the lock queue (reads and writes)
20. total number of contiguously allocated chunks of
datafile space for the database