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Apache Superset at Airbnb

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Bill Liu

Presented at AI NEXTCon Seattle 1/17-20, 2018 http://aisea18.xnextcon.com join our free online AI group with 50,000+ tech engineers to learn and practice AI technology, including: latest AI news, tech articles/blogs, tech talks, tutorial videos, and hands-on workshop/codelabs, on machine learning, deep learning, data science, etc..

Technologie
1  sur  24
MAXIME BEAUCHEMIN / MAY 2017 Apache Superset a modern, enterprise-ready business intelligence web application
Slide Title Here Optional subtitle goes here • Cereal Entrepreneur: Creative. Embraces constraints. Solution-oriented. Tenacious. • Be a Host: Collaborative. Anticipates the needs of others. Prepared. Authentic. Listens. • Embrace the Adventure: Flexible. Risk tolerant. Always learning. Curious. Open-minded. • Simplify: Prioritizes. Distills a problem to its essence. Makes and communicates clear decisions. • Champion the Mission: Passionate. Committed. Optimistic. Puts the Airbnb community first. • Every Frame Matters: Thinks holistically. Rigorous about quality. Appreciates the details and 
 prioritizes the right ones. MaximeBeauchemin
* explore your data! * create interactive dashboards * share discoveries A modern, enterprise-ready business intelligence web application
The Superset Vision Any visualizationAny database microscopic amount of work
Event Logs MySQL Dumps Gold Hive Cluster HDFS Spark Cluster Airpal Airflow Scheduling Presto Cluster Silver Hive Cluster HDFS Replication Kafka Sqoop Tableau S3 Superset ! Druid
* Data is too strategic to depend on vendors! * Tableau doesn’t support Presto & Druid * Tableau extracts don’t scale well * Buying means lock-in and increasing costs * We need deep integration with our stack * We’re builders not buyers!
Live demo!
The Stack * Python backend * Flask App Builder (authentication, roles, CRUD, …) * Pandas for rich analytics * SqlAlchemy (multi dialect SQL toolkit) * Javascript frontend * React / Redux * ES6 / Webpack / npm * d3.js! * nvd3.org
Security * Provided by Flask AppBuilder (python web framework) * Easily integrate with: OpenID, LDAP, REMOTE_USER, OAUTH, or use the builtin database * Ships with 3 roles: * Admin (all access) * Alpha (all access but cannot alter permissions) * Gamma (per-datasource / table access) * Fine grain controls to create new roles
A thin Semantic Layer * Verbose names and long descriptions for columns and metrics * Add calculated fields and metrics as SQL expression * Set how individual columns are exposed
Caching! * Provided by flask-cache * Backends: memcache, redis, filesystem, memory, … * cascading timeout configuration * UI is upfront about staleness * allows to force-refresh
Open Source!
* Grow a community! Joining the ASF * UX -> smoothen common flows * Improve SQL Lab * Ship visualizations & controls as React.js components * DSL for the semantic layer What’s next?
github.com/airbnb/superset
Q?

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Apache Superset at Airbnb

  • 1. MAXIME BEAUCHEMIN / MAY 2017 Apache Superset a modern, enterprise-ready business intelligence web application
  • 2. Slide Title Here Optional subtitle goes here • Cereal Entrepreneur: Creative. Embraces constraints. Solution-oriented. Tenacious. • Be a Host: Collaborative. Anticipates the needs of others. Prepared. Authentic. Listens. • Embrace the Adventure: Flexible. Risk tolerant. Always learning. Curious. Open-minded. • Simplify: Prioritizes. Distills a problem to its essence. Makes and communicates clear decisions. • Champion the Mission: Passionate. Committed. Optimistic. Puts the Airbnb community first. • Every Frame Matters: Thinks holistically. Rigorous about quality. Appreciates the details and 
 prioritizes the right ones. MaximeBeauchemin
  • 3. * explore your data! * create interactive dashboards * share discoveries A modern, enterprise-ready business intelligence web application
  • 4. The Superset Vision Any visualizationAny database microscopic amount of work
  • 5. Event Logs MySQL Dumps Gold Hive Cluster HDFS Spark Cluster Airpal Airflow Scheduling Presto Cluster Silver Hive Cluster HDFS Replication Kafka Sqoop Tableau S3 Superset ! Druid
  • 6. * Data is too strategic to depend on vendors! * Tableau doesn’t support Presto & Druid * Tableau extracts don’t scale well * Buying means lock-in and increasing costs * We need deep integration with our stack * We’re builders not buyers!
  • 8.
  • 9.
  • 10.
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  • 16.
  • 17. The Stack * Python backend * Flask App Builder (authentication, roles, CRUD, …) * Pandas for rich analytics * SqlAlchemy (multi dialect SQL toolkit) * Javascript frontend * React / Redux * ES6 / Webpack / npm * d3.js! * nvd3.org
  • 18. Security * Provided by Flask AppBuilder (python web framework) * Easily integrate with: OpenID, LDAP, REMOTE_USER, OAUTH, or use the builtin database * Ships with 3 roles: * Admin (all access) * Alpha (all access but cannot alter permissions) * Gamma (per-datasource / table access) * Fine grain controls to create new roles
  • 19. A thin Semantic Layer * Verbose names and long descriptions for columns and metrics * Add calculated fields and metrics as SQL expression * Set how individual columns are exposed
  • 20. Caching! * Provided by flask-cache * Backends: memcache, redis, filesystem, memory, … * cascading timeout configuration * UI is upfront about staleness * allows to force-refresh
  • 22. * Grow a community! Joining the ASF * UX -> smoothen common flows * Improve SQL Lab * Ship visualizations & controls as React.js components * DSL for the semantic layer What’s next?
  • 24. Q?