Scaling to 30,000 Requests Per Second and Beyond with MongoDB
Partner Webinar: The Scaling Checklist for MongoDB - 100GB and beyond
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Transcript of Partner Webinar: The Scaling Checklist for MongoDB - 100GB and beyond
![Page 1: Partner Webinar: The Scaling Checklist for MongoDB - 100GB and beyond](https://reader036.fdocuments.in/reader036/viewer/2022062617/54c665634a79594b538b4734/html5/thumbnails/1.jpg)
www.mongohq.com Scaling Checklist for MongoDB
Scaling Checklist for MongoDB
100GB & Beyond
![Page 2: Partner Webinar: The Scaling Checklist for MongoDB - 100GB and beyond](https://reader036.fdocuments.in/reader036/viewer/2022062617/54c665634a79594b538b4734/html5/thumbnails/2.jpg)
www.mongohq.com Scaling Checklist for MongoDB
MongoHQwww.mongohq.com | @mongohq
MongoHQ is a fully-managed platform used by developers to deploy, host and scale open-source databases.
Chris [email protected]
I’ve spoken at a number of MongoDB conferences on optimizing queries. I’ve been with MongoHQ for two
years – prior to that I built applications for the education and technical sectors.
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TL;DR
• 100GB of data is relatively big data• MongoDB has comparative advantages• MongoDB has absolute constraints• Know the MongoDB gauges• Surpassing 100GB requires:– Understanding absolute constraints.– Knowledge of application’s data consumption– Optimization of data consumption to comparative
advantages
![Page 4: Partner Webinar: The Scaling Checklist for MongoDB - 100GB and beyond](https://reader036.fdocuments.in/reader036/viewer/2022062617/54c665634a79594b538b4734/html5/thumbnails/4.jpg)
www.mongohq.com Scaling Checklist for MongoDB
Audience Survey
What is your data size? Choose the biggest bucket.
A. < 10GBB. < 50GBC. < 75GBD. < 100GBE. > 100 GB
![Page 5: Partner Webinar: The Scaling Checklist for MongoDB - 100GB and beyond](https://reader036.fdocuments.in/reader036/viewer/2022062617/54c665634a79594b538b4734/html5/thumbnails/5.jpg)
www.mongohq.com Scaling Checklist for MongoDB
100 GB Checklist
1. Identify your data behavior2. Use MongoDB for comparative advantages3. Know the MongoDB indexing constraints4. Refactor schema to simplify queries5. Remove data that does not fit MongoDB6. Separate hot and cold data7. Stop using `mongodump`8. Check your gauges9. Avoid queries causing page faults10. Track and monitor slow queries11. Buying time with hardware
![Page 6: Partner Webinar: The Scaling Checklist for MongoDB - 100GB and beyond](https://reader036.fdocuments.in/reader036/viewer/2022062617/54c665634a79594b538b4734/html5/thumbnails/6.jpg)
www.mongohq.com Scaling Checklist for MongoDB
100 GB Checklist
1. Identify your data behavior2. Use MongoDB for comparative advantages3. Know the MongoDB indexing constraints4. Refactor schema to simplify queries5. Remove data that does not fit MongoDB6. Separate hot and cold data7. Stop using `mongodump`8. Check your gauges9. Avoid queries causing page faults10. Track and monitor slow queries11. Buying time with hardware
![Page 7: Partner Webinar: The Scaling Checklist for MongoDB - 100GB and beyond](https://reader036.fdocuments.in/reader036/viewer/2022062617/54c665634a79594b538b4734/html5/thumbnails/7.jpg)
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Identify your data behavior
1. Small v. Large – type of data2. Fast v. Slow – behavior of data3. Complex v. Simple – type of queries4. Known v. Unknown – behavior of queries5. Queuing v. Application data
This can happen at planning, staging, or production phase.
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Patterns of your Data
Small Large
Fast
Slow
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Small Large
Fast
Slow
Modern applications have all patterns
Main application collections
ApplicationMetadata
SecondaryApplication Collections
Internal metrics
Event logs and event
data
Queues, OLTP,
Messages
Rendered in background
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Small Large
Fast
Slow
Where doesn’t MongoDB excel?
Main application collections
ApplicationMetadata
SecondaryApplication Collections
Internal metrics
Event logs and event
data
Queues, OLTP,
Messages
Rendered in background
![Page 11: Partner Webinar: The Scaling Checklist for MongoDB - 100GB and beyond](https://reader036.fdocuments.in/reader036/viewer/2022062617/54c665634a79594b538b4734/html5/thumbnails/11.jpg)
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4th dimension is time
Main application collections
Today’s Data
Last week’s data
Small Large
Fast
Slow
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Data-types to avoid with MongoDB
Main application collections
ApplicationMetadata
SecondaryApplication Collections
Internal metrics
Event logs and event
data
Queues, OLTP,
Messages
Small Large
Fast
Slow
Rendered in background
![Page 13: Partner Webinar: The Scaling Checklist for MongoDB - 100GB and beyond](https://reader036.fdocuments.in/reader036/viewer/2022062617/54c665634a79594b538b4734/html5/thumbnails/13.jpg)
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What type of queries do you have?
Unknown Known
Simple
Complex
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Unknown Known
Simple
Complex
Modern applications have all types of queries
Data discovery
Application search
Keyvalue
SingleRange Query
User generated
search
Internal metrics
Multi-Range Query
![Page 15: Partner Webinar: The Scaling Checklist for MongoDB - 100GB and beyond](https://reader036.fdocuments.in/reader036/viewer/2022062617/54c665634a79594b538b4734/html5/thumbnails/15.jpg)
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Unknown Known
Simple
Complex
Queries to Avoid with MongoDB
Data discovery
Application search
Keyvalue
SingleRange Query
User generated
search
Internal metrics
Multi-Range Query
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Unknown Known
Simple
Complex
4th Dimension is Time
Real-time core of
application
Today’s Data
Last week’s data
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MongoDB
Queries and MongoDB
Elastic SearchSQL
Elastic Search
Unknown Known
Simple
Complex
![Page 18: Partner Webinar: The Scaling Checklist for MongoDB - 100GB and beyond](https://reader036.fdocuments.in/reader036/viewer/2022062617/54c665634a79594b538b4734/html5/thumbnails/18.jpg)
www.mongohq.com Scaling Checklist for MongoDB
100 GB Checklist
1. Identify your data behavior2. Use MongoDB for comparative advantages3. Know the MongoDB indexing constraints4. Refactor schema to simplify queries5. Remove data that does not fit MongoDB6. Separate hot and cold data7. Stop using `mongodump`8. Check your gauges9. Avoid queries causing page faults10. Track and monitor slow queries11. Buying time with hardware
![Page 19: Partner Webinar: The Scaling Checklist for MongoDB - 100GB and beyond](https://reader036.fdocuments.in/reader036/viewer/2022062617/54c665634a79594b538b4734/html5/thumbnails/19.jpg)
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MongoDB’s Technical Comparative Advantage
• Expressive data structure allows simplification of complex data relationships
• Create simple, known queries and return expressive relationships
• On-the-fly addition of attributes / columns
• Total Cost of Ownership*
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www.mongohq.com Scaling Checklist for MongoDB
100 GB Checklist
1. Identify your data behavior2. Use MongoDB for comparative advantages3. Know the MongoDB indexing constraints4. Refactor schema to simplify queries5. Remove data that does not fit MongoDB6. Separate hot and cold data7. Stop using `mongodump`8. Check your gauges9. Avoid queries causing page faults10. Track and monitor slow queries11. Buying time with hardware
![Page 21: Partner Webinar: The Scaling Checklist for MongoDB - 100GB and beyond](https://reader036.fdocuments.in/reader036/viewer/2022062617/54c665634a79594b538b4734/html5/thumbnails/21.jpg)
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MongoDB Indexing Constraints
• Only one index can be used per query
• Only one range operator can be used per index
• Range operator must be the last field on index
• Know how to use the right side of indexes
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www.mongohq.com Scaling Checklist for MongoDB
100 GB Checklist
1. Identify your data behavior2. Use MongoDB for comparative advantages3. Know the MongoDB indexing constraints4. Refactor schema to simplify queries5. Remove data that does not fit MongoDB6. Separate hot and cold data7. Stop using `mongodump`8. Check your gauges9. Avoid queries causing page faults10. Track and monitor slow queries11. Buying time with hardware
![Page 23: Partner Webinar: The Scaling Checklist for MongoDB - 100GB and beyond](https://reader036.fdocuments.in/reader036/viewer/2022062617/54c665634a79594b538b4734/html5/thumbnails/23.jpg)
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What does it mean to optimize?
Unknown Known
Simple
Complex
Scaling to 100GBinvolves moving queries fromcomplex to simple and unknown to known
Start
Finish
Start
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Example of simplifying a query.
Naïve Query:
db.messages.find({$or: [{recipient_id: <id>}, {sender_id: <id>}]}).sort({_id: -1})
Find the most recent messages for a person’s message stream.
Second attempt:
db.messages.find({participant_ids: <id>}).sort({_id: -1})
Best approach
db.users.find({_id: <id>})
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Naïve Query
{ _id: <id>, message: “Wow, this pizza is good!”, sender_id: <user_id>, recipient_id: <user_id>}
db.messages.find({$or: [{recipient_id: <id>}, {sender_id: <id>}]}).sort({_id: -1})
Document
Query
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Second Attempt
Document
{ _id: <id>, message: “Wow, this pizza is good!”, sender_id: <sender_id>, recipient_id: <recipient_id>, participant_ids: [<sender_id>,<recipient_id>]}
db.messages.find({participant_ids: <id>}).sort({_id: -1})
Query
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Best approach
Document
Hint: use the $push, $sort, $slice for the last 50
{ _id: <id>, name: “Clarke Kent”, recent_messages: [ <…50 denormalized messages…> ]}
db.users.find({_id: <id>})
Query
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How did we optimize?
Unknown Known
Simple
Complex
We took a known, complex query and made it simple.
Finish
Start
![Page 29: Partner Webinar: The Scaling Checklist for MongoDB - 100GB and beyond](https://reader036.fdocuments.in/reader036/viewer/2022062617/54c665634a79594b538b4734/html5/thumbnails/29.jpg)
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Methods for Simplifying Queries• Bucket values
• Create summary attributes
• Pre-compute values
• Use expressive documents structures
• Sort and filter at the application level
• Create summary documents
• Divide and measure (more on this later)
![Page 30: Partner Webinar: The Scaling Checklist for MongoDB - 100GB and beyond](https://reader036.fdocuments.in/reader036/viewer/2022062617/54c665634a79594b538b4734/html5/thumbnails/30.jpg)
www.mongohq.com Scaling Checklist for MongoDB
100 GB Checklist
1. Identify your data behavior2. Use MongoDB for comparative advantages3. Know the MongoDB indexing constraints4. Refactor schema to simplify queries5. Remove data that does not fit MongoDB6. Separate hot and cold data7. Stop using `mongodump`8. Check your gauges9. Avoid queries causing page faults10. Track and monitor slow queries11. Buying time with hardware
![Page 31: Partner Webinar: The Scaling Checklist for MongoDB - 100GB and beyond](https://reader036.fdocuments.in/reader036/viewer/2022062617/54c665634a79594b538b4734/html5/thumbnails/31.jpg)
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Small Large
Fast
Slow
Remove “unrefactorable” data
Main application collections
ApplicationMetadata
SecondaryApplication Collections
Internal metrics
Event logs and event
data
Queues, OLTP,
Messages
Rendered in background
Redis
![Page 32: Partner Webinar: The Scaling Checklist for MongoDB - 100GB and beyond](https://reader036.fdocuments.in/reader036/viewer/2022062617/54c665634a79594b538b4734/html5/thumbnails/32.jpg)
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MongoDB
Move up and right, or find another tool
Unknown Known
Simple
Complex
Data discovery
Application search
User generated
search
Multi-Range Query
![Page 33: Partner Webinar: The Scaling Checklist for MongoDB - 100GB and beyond](https://reader036.fdocuments.in/reader036/viewer/2022062617/54c665634a79594b538b4734/html5/thumbnails/33.jpg)
www.mongohq.com Scaling Checklist for MongoDB
100 GB Checklist
1. Identify your data behavior2. Use MongoDB for comparative advantages3. Know the MongoDB indexing constraints4. Refactor schema to simplify queries5. Remove data that does not fit MongoDB6. Separate hot and cold data7. Stop using `mongodump`8. Check your gauges9. Avoid queries causing page faults10. Track and monitor slow queries11. Buying time with hardware
![Page 34: Partner Webinar: The Scaling Checklist for MongoDB - 100GB and beyond](https://reader036.fdocuments.in/reader036/viewer/2022062617/54c665634a79594b538b4734/html5/thumbnails/34.jpg)
www.mongohq.com Scaling Checklist for MongoDB
Unknown Known
Simple
Complex
4th Dimension is Time
Real-time core of
application
Today’s Data (fast)
Last week’s data (slower)
![Page 35: Partner Webinar: The Scaling Checklist for MongoDB - 100GB and beyond](https://reader036.fdocuments.in/reader036/viewer/2022062617/54c665634a79594b538b4734/html5/thumbnails/35.jpg)
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Separate Data with Cross Purposes
• If this today’s data must be fast, and last week’s data can be slow:– Rollout today’s data using TTL collections– Use another database for last weeks data– Use high-RAM ratio and SSD backed machines for
this today’s data– Use cheaper hardware for last week’s data
![Page 36: Partner Webinar: The Scaling Checklist for MongoDB - 100GB and beyond](https://reader036.fdocuments.in/reader036/viewer/2022062617/54c665634a79594b538b4734/html5/thumbnails/36.jpg)
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MongoDB Doesn’t have Joins
Data doesn’t have to be adjacent.
Divide, measure, conquer.
![Page 37: Partner Webinar: The Scaling Checklist for MongoDB - 100GB and beyond](https://reader036.fdocuments.in/reader036/viewer/2022062617/54c665634a79594b538b4734/html5/thumbnails/37.jpg)
www.mongohq.com Scaling Checklist for MongoDB
100 GB Checklist
1. Identify your data behavior2. Use MongoDB for comparative advantages3. Know the MongoDB indexing constraints4. Refactor schema to simplify queries5. Remove data that does not fit MongoDB6. Separate hot and cold data7. Stop using `mongodump`8. Check your gauges9. Avoid queries causing page faults10. Track and monitor slow queries11. Buying time with hardware
![Page 38: Partner Webinar: The Scaling Checklist for MongoDB - 100GB and beyond](https://reader036.fdocuments.in/reader036/viewer/2022062617/54c665634a79594b538b4734/html5/thumbnails/38.jpg)
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Stop Use `mongodump`
`mongodump` is long running tablescan that exports all documents. This disrupts RAM and causes performance issues.
Self-hosting: use the MongoDB MMS and Backup
As-a-service: ask your vendor about backup alternatives
![Page 39: Partner Webinar: The Scaling Checklist for MongoDB - 100GB and beyond](https://reader036.fdocuments.in/reader036/viewer/2022062617/54c665634a79594b538b4734/html5/thumbnails/39.jpg)
www.mongohq.com Scaling Checklist for MongoDB
100 GB Checklist
1. Identify your data behavior2. Use MongoDB for comparative advantages3. Know the MongoDB indexing constraints4. Refactor schema to simplify queries5. Remove data that does not fit MongoDB6. Separate hot and cold data7. Stop using `mongodump`8. Check your gauges9. Avoid queries causing page faults10. Track and monitor slow queries11. Buying time with hardware
![Page 40: Partner Webinar: The Scaling Checklist for MongoDB - 100GB and beyond](https://reader036.fdocuments.in/reader036/viewer/2022062617/54c665634a79594b538b4734/html5/thumbnails/40.jpg)
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Configure MMS Now!
![Page 41: Partner Webinar: The Scaling Checklist for MongoDB - 100GB and beyond](https://reader036.fdocuments.in/reader036/viewer/2022062617/54c665634a79594b538b4734/html5/thumbnails/41.jpg)
www.mongohq.com Scaling Checklist for MongoDB
100 GB Checklist
1. Identify your data behavior2. Use MongoDB for comparative advantages3. Know the MongoDB indexing constraints4. Refactor schema to simplify queries5. Remove data that does not fit MongoDB6. Separate hot and cold data7. Stop using `mongodump`8. Check your gauges9. Avoid queries causing page faults10. Track and monitor slow queries11. Buying time with hardware
![Page 42: Partner Webinar: The Scaling Checklist for MongoDB - 100GB and beyond](https://reader036.fdocuments.in/reader036/viewer/2022062617/54c665634a79594b538b4734/html5/thumbnails/42.jpg)
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Avoid Page Faults like the Plague
50% Table Scans 1% Table Scans 0% Table Scans0
1000
2000
3000
4000
5000
6000
7000
8000
MongoDB Operations / Second
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MongoDB
What type of queries cause page faults?
Unknown Known
Simple
Complex
Data discovery
Application search
User generated
search
Multi-Range Query
![Page 44: Partner Webinar: The Scaling Checklist for MongoDB - 100GB and beyond](https://reader036.fdocuments.in/reader036/viewer/2022062617/54c665634a79594b538b4734/html5/thumbnails/44.jpg)
www.mongohq.com Scaling Checklist for MongoDB
100 GB Checklist
1. Identify your data behavior2. Use MongoDB for comparative advantages3. Know the MongoDB indexing constraints4. Refactor schema to simplify queries5. Remove data that does not fit MongoDB6. Separate hot and cold data7. Stop using `mongodump`8. Check your gauges9. Avoid queries causing page faults10. Track and monitor slow queries11. Buying time with hardware
![Page 45: Partner Webinar: The Scaling Checklist for MongoDB - 100GB and beyond](https://reader036.fdocuments.in/reader036/viewer/2022062617/54c665634a79594b538b4734/html5/thumbnails/45.jpg)
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Track & Remove Slow Queries
• system.profile collection – link
• MongoDB professor – link
• Dex – link
• MongoHQ Slow Query Tracker and Profiler - link
![Page 46: Partner Webinar: The Scaling Checklist for MongoDB - 100GB and beyond](https://reader036.fdocuments.in/reader036/viewer/2022062617/54c665634a79594b538b4734/html5/thumbnails/46.jpg)
www.mongohq.com Scaling Checklist for MongoDB
100 GB Checklist
1. Identify your data behavior2. Use MongoDB for comparative advantages3. Know the MongoDB indexing constraints4. Refactor schema to simplify queries5. Remove data that does not fit MongoDB6. Separate hot and cold data7. Stop using `mongodump`8. Check your gauges9. Avoid queries causing page faults10. Track and monitor slow queries11. Buying time with hardware
![Page 47: Partner Webinar: The Scaling Checklist for MongoDB - 100GB and beyond](https://reader036.fdocuments.in/reader036/viewer/2022062617/54c665634a79594b538b4734/html5/thumbnails/47.jpg)
www.mongohq.com Scaling Checklist for MongoDB
Buying time with hardware has a limited life
• Don’t get addicted to buying more hardware.
• Before any purchasing decision, always– consider optimization– investigate separating, paring data
![Page 48: Partner Webinar: The Scaling Checklist for MongoDB - 100GB and beyond](https://reader036.fdocuments.in/reader036/viewer/2022062617/54c665634a79594b538b4734/html5/thumbnails/48.jpg)
www.mongohq.com Scaling Checklist for MongoDB
100 GB Checklist
1. Identify your data behavior2. Use MongoDB for comparative advantages3. Know the MongoDB indexing constraints4. Refactor schema to simplify queries5. Remove data that does not fit MongoDB6. Separate hot and cold data7. Stop using `mongodump`8. Check your gauges9. Avoid queries causing page faults10. Track and monitor slow queries11. Buying time with hardware
![Page 49: Partner Webinar: The Scaling Checklist for MongoDB - 100GB and beyond](https://reader036.fdocuments.in/reader036/viewer/2022062617/54c665634a79594b538b4734/html5/thumbnails/49.jpg)
www.mongohq.com Scaling Checklist for MongoDB
Thank you!
For any questions:[email protected]
www.mongohq.com@mongohq