惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

Hugging Face - Blog
Hugging Face - Blog
B
Blog
博客园_首页
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
G
GRAHAM CLULEY
Microsoft Azure Blog
Microsoft Azure Blog
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
WordPress大学
WordPress大学
The GitHub Blog
The GitHub Blog
Security Latest
Security Latest
F
Full Disclosure
云风的 BLOG
云风的 BLOG
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
C
Cyber Attacks, Cyber Crime and Cyber Security
L
LINUX DO - 热门话题
V
Visual Studio Blog
有赞技术团队
有赞技术团队
腾讯CDC
V
V2EX
Vercel News
Vercel News
C
Cisco Blogs
V2EX - 技术
V2EX - 技术
Scott Helme
Scott Helme
K
KPMG report finds enterprise disconnect between AI and its ROI | CIO
AWS News Blog
AWS News Blog
S
Schneier on Security
Exploit-DB.com RSS Feed
Exploit-DB.com RSS Feed
小众软件
小众软件
G
Google Developers Blog
C
Check Point Blog
C
CERT Recently Published Vulnerability Notes
博客园 - 叶小钗
S
SegmentFault 最新的问题
T
Tor Project blog
J
Java Code Geeks
L
Lohrmann on Cybersecurity
Application and Cybersecurity Blog
Application and Cybersecurity Blog
T
The Exploit Database - CXSecurity.com
Apple Machine Learning Research
Apple Machine Learning Research
T
Tailwind CSS Blog
H
Hackread – Cybersecurity News, Data Breaches, AI and More
博客园 - 司徒正美
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
S
Secure Thoughts
量子位
N
News and Events Feed by Topic
MyScale Blog
MyScale Blog
TaoSecurity Blog
TaoSecurity Blog
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
Engineering at Meta
Engineering at Meta

PostHog's RSS Feed

Training our own AI models - PostHog From 270GB RAM to 5GB: Moving local flag evaluation from Django to Rust The best analytics stack for vibe-coded apps The do's and don'ts of minimum viable product marketing - PostHog The best MCP servers for startups, by workflow 4,063 errors closed without a human opening PostHog – here's what we learned - PostHog PostHog Code and the self-driving product - PostHog Why attacking your competitors online is dumb - PostHog The best real-time analytics platforms for developers, compared DuckDB vs ClickHouse: Why we use both at PostHog - PostHog PostHog's next chapter - PostHog Making Claude Cowork actually useful - PostHog PostHog vs Matomo in-depth tool comparison You're doing lifecycle emails wrong Untangling Tokio and Rayon in production: From 2s latency spikes to 94ms flat The best HIPAA-compliant A/B testing tools - PostHog A beginner's guide to testing AI agents - PostHog I hate the standup bot (so I built an agent to do it for me) - PostHog The best CDPs for developers, compared The best error tracking tools for developers, compared The best feature flag software for developers, compared 7 best session replay tools for mobile apps 7 best free open source business intelligence tools right now 7 best free and open source LLM observability tools PostHog vs LogRocket in-depth tool comparison The most popular PostHog alternatives, compared Open source (and self-hosted) session replay tools - PostHog The 9 best GA4 alternatives for apps and websites - PostHog PostHog vs Google Analytics 4 in-depth tool comparison How we built automatic clustering for LLM traces - PostHog The 7 best HIPAA-compliant analytics tools 8 best open source analytics tools you can self-host - PostHog The best product analytics tools for startups, compared PostHog vs FullStory in-depth tool comparison The best in-app survey tools for product teams, compared The 7 best mobile app analytics tools PostHog vs Hotjar in-depth tool comparison The 8 best free and open-source feature flag services - PostHog The 5 best free and open-source A/B testing tools - PostHog The best mobile app A/B testing tools, compared What is a feature flag? Feature Flags vs Remote Config vs A/B Testing PostHog is now available in Vercel’s v0 The best Heap alternatives & competitors, compared PostHog vs Heap in-depth tool comparison PostHog vs Pendo in-depth tool comparison PostHog × Vercel: feature flags, minus the plumbing Your logs' final destination is in GA. You always end up here anyway Behind the scenes of a PostHog hackathon - PostHog The most popular Mixpanel alternatives & competitors, compared PostHog vs Mixpanel in-depth tool comparison The 9 best GDPR-compliant analytics tools How we use Logs at PostHog The best web analytics tools for developers, compared Stop AI slop: Run evals with LLM-as-a-Judge - PostHog You product data just got a job: Workflows is now out App onboarding: How to fix drop-off points Meet Logs (beta) – logs with all the tools you’re already using Why small teams crush tiger teams How we built user behavior analysis with multi-modal LLMs (in 5 not-so-easy steps) - PostHog The best Contentsquare alternatives & competitors, compared 8 learnings from 1 year of agents – PostHog AI - PostHog Why we killed our AI product assistant Workflows graduate to beta! Product data, meet automation The best Rollbar alternatives & competitors, compared Workflows are now in Alpha and I already broke mine - PostHog I've consistently underestimated how important communication is as a CEO - PostHog How we made feature flags even faster and more reliable The best session replay tools for developers, compared What I learned attending my first ever hackathon - PostHog Did you know AI is answering our community questions? - PostHog How not to be boring - PostHog We built an internal tool to generate changelog images for social media - PostHog What we built at our windswept Mykonos hackathon - PostHog How we built our onboarding email flow (with actual performance data) - PostHog We're building a better PostHog community by closing our public Slack - PostHog Introducing Notebooks for PostHog - PostHog Why we've launched PostHog user surveys - PostHog How we made feature flags faster and more reliable - PostHog In-depth: ClickHouse vs Redshift - PostHog Introducing HouseWatch: An open-source toolkit for ClickHouse - PostHog Introducing HogQL: Direct SQL access for PostHog - PostHog What we built at our sun-kissed Aruba hackathon - PostHog In-depth: ClickHouse vs BigQuery - PostHog In-depth: ClickHouse vs Elasticsearch - PostHog HogMail #22: Why do companies over-hire?" - PostHog Our simpler goal: Help engineers to be better at product - PostHog In-depth: ClickHouse vs Snowflake - PostHog HogMail #21: Avoiding the "Product Death Cycle" - PostHog Sunsetting Kubernetes support for PostHog - PostHog Why 'Product Engineer' is the most fun role I've had in tech - PostHog HogMail #20: Why do startups fail? - PostHog The best Google Optimize alternatives for apps and websites - PostHog Array 1.43.0: Massive performance improvements! - PostHog In-depth: ClickHouse vs Druid - PostHog HogMail #19: Which meetings should you kill? - PostHog CEO diary: The things I learned in 2022 - PostHog The essential tools used by product engineers - PostHog HogMail #18: What can SaaS learn from the New York Times? - PostHog What is a product engineer? - Product Engineer Handbook - PostHog Array 1.42.0: Get beta features via our roadmap! - PostHog
How we’re improving performance by combining persons and events - PostHog
2022-11-02 · via PostHog's RSS Feed

In a previous product update we announced a beta for a substantial change to the way we handle persons and events on PostHog. Today, after gathering your feedback and seeing the improvements to query performance, we’re rolling this change out as part of the 1.41.0 update. It is available now for self-hosted users and PostHog Cloud users can expect to see the benefits soon as we roll it out.

Need to upgrade a self-hosted instance? We've explained how to upgrade to 1.41.0 and run the necessary async migrations in our 1.41.0 release highlights.

This change combines persons and events into a single ClickHouse table, adding person IDs and properties onto events.

You won’t see any UI changes — persons will still have their own Persons & Groups section on the sidebar, for example — and there’ll be no loss of functionality, but here are some changes you may see:

  • Faster results for queries involving person properties and events. Putting persons and events into a single ClickHouse table means we no longer have to join tables to get results on queries involving these data. As a result, query performance will improve by up to 400%.

  • Faster filtering of events with person properties. Similarly, filtering events by person properties is much faster when joining the tables is no longer necessary. Anywhere where you’re working with persons and events, PostHog will be faster.

  • Users will no longer be merged retroactively in some situations. When an identified user logs in from a different browser (thus becoming anonymous) we end up with separate records for their unidentified and identified behavior. We used to do database joins at query time, so that all events were tied to the same person. Now, we simply look at the events which have the data from the event processing time - meaning that in some situations anonymous events are shown as separate, unique persons in insights. Further information is available in the docs

  • You can create insights based on person properties at the time of an event. This wasn’t previously feasible and was often requested. Now, with this change, it's possible!

  • Self-hosting users will see a storage increase. This is due to extra information being stored in your self-hosted ClickHouse. It's difficult to give an estimate on this as the impact will vary a lot depending on configuration and usage per organization.

While improving performance has been a major motivation for this change, this is also a crucial step in ensuring PostHog can continue to scale effectively.

Since launching in 2020, PostHog has been adopted by over 15,000 companies and has tracked over 50 billion events. In order to ensure that current and future users have the best possible experience, we need our systems to work as efficiently as possible. Adding persons on to events is an important part of this, along with supporting work such as using materialized columns in ClickHouse to speed up queries even further.

This said, even though the change is now being fully deployed, we’re still eager to hear your feedback and understand how we can keep making PostHog better. If you’d like more information about any of the changes above then we’re happy to answer your questions.

Want to just try it already?

(Sorry for the shameless CTA.)