Title: The Internal Design of Force'coms MultiTenant Architecture
1The Internal Design of Force.coms Multi-Tenant
Architecture
Track Tour de Force Platform Tech Talks
Craig Weissman, salesforce.com
2Safe Harbor Statement
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Securities Litigation Reform Act of 1995 This
presentation may contain forward-looking
statements including but not limited to
statements concerning the potential market for
our existing service offerings and future
offerings. All of our forward looking statements
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interruptions or delays in our service or our Web
hosting, our new business model, our history of
operating losses, the possibility that we will
not remain profitable, breach of our security
measures, the emerging market in which we
operate, our relatively limited operating
history, our ability to hire, retain and motivate
our employees and manage our growth, competition,
our ability to continue to release and gain
customer acceptance of new and improved versions
of our service, customer and partner acceptance
of the AppExchange, successful customer
deployment and utilization of our services,
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update these forward-looking statements, except
as required by law.
3Craig Weissman Chief Software Architect salesforce
.com
4True Multi-Tenancy is our Religion
Time
Technology Advances
Major Architectural Shift
- Agenda
- Our Religion
- Virtual Database
- App Model
Business Model Changes
5Single tenant applications lots of waste
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6Multi-tenancy benefits are self-evidentBut
isolation is much easier said than done
7Our religion Not all multi-tenant designs are
created equal
Cant we create a separate stack for just
this one customer? I promise its just this one
App
Db
8Introducing the Force.com metadata-driven,
multi-tenant, Internet application platform
Poly- Morphic Application
9Key Architectural Principles
- Stateless AppServers
- Database system of record
- No DDL
- All tables partitioned by OrgId
- Smart PKs, Polymorphic FKs
- Creative de-normalization and pivoting
- Use every RDBMS feature/trick
10Metadata, data, and pivot table structures store
data corresponding to virtual data structures
11The Objects table stores metadata about custom
objects (tables)?
12The Fields table stores metadata about custom
fields (columns)?
13The Data heap table stores all structured data
corresponding to custom objects
14A single slot can store various types of data
that originate from different objects
15The Indexes pivot table manages tenant-specific
selective indexes
16The UniqueFields pivot table facilitates
uniqueness for custom fields
17The Relationships pivot table facilitates
referential integrity and optimizes joins
18All data metadata structures are partitioned to
improve performance and manageability
- Tables hash partitioned by OrgId
- Separate conn pools point to physical hosts
- App tier is also dynamically partitioned by OrgId
- Distributed metadata cache w/transactional
invalidation
19Application Framework a whole lot for free
- Native Declarative features
- Bulk Processing
- The Recycle Bin
- Full Text Search
- Smart Bulk DML
- Web Services APIs
20Force.coms native Application Framework provides
declarative development, no coding
21Validation rules and simple formulasBusiness
analysts can code these
22Not so simple Rollup-summary fields provide for
easy cross-object summaries
23Force.coms bulk processing optimizations reduce
overhead for data loads
24Data definition processing is optimized to avoid
performance hits or concurrency limits
- Examples
- Sort all records by primary key before attempting
DML - Operate on tables in deterministic order
- Slot reallocation for field datatype change
- Deferred calculation for new rollup-summary field
- Background processing of mass changes
25The Recycle Bin Smart Undeletes
- Individual object instances (records)?
- Related object instances (parent/child records)?
- Entire fields and objects(dropped columns and
tables)?
Restore
26Force.coms full-text search engine
- Asynchronously maintains indexes for all text
fields - MRU caches contain recently updated objects
- Optimizes ranking of search result records based
on current user, modification history, and
weighting preferences
27Multi-tenant Query Optimization Principles
- Consistent SQL generation across the application
- Deep awareness of pivot table structure
- Flex schema does impose a cost
- Tenant, user, object, fields statistics are
crucial - No runaway queries allowed
- Deep integration with the sharing model
28Force.coms query optimizer writes optimal
queries for internal data access operations
Multi-tenant optimizer statistics
29The optimizer considers pre-query selectivity
measurements when writing a query
30Apex Force.coms procedural frontier
31Apex code is stored as metadata, interpreted at
runtime, and cached for scalability
32Apex is deeply integrated with platform features
- Bulk DML
- Email and messaging
- Asynchronous processing (Futures)
- XmlStream / HTTP (RESTful) services classes
- Declarative exposure as new Web Services
33Force.com governs Apex code execution
- Limits on
- CPU
- Memory
- of DML statements
- calculations
- web service calls
- and more
34Unit tests must accompany Apex code
- Required 75 code coverage
- Profiling is built into the platform
- Run during application install
- All tests are run before each platform release by
us
35Force.com is a proven multi-tenant application
platform that performs and scales
Page Response Time (ms)?
Quarterly Transactions (billions)?
2005
2006
2007
Fiscal Year
36Concluding Remarks
- PaaS is a major architectural shifts
- PaaS is Application focused, high level of
abstraction - Force.com is the most mature, proven PaaS
offering available today - Optimized for fast, secure, and reliable
multi-tenant application development and
deployment
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