What to expect from Perforce servers in the future.

1. 1
John Palmer
Technical Sales Manager

2. 2
“100X”
Distributed
Today
Data Centre

3. 3
100X
Concurrency Data
Federation
Horizontal
Scaling Failover

4. Writer
Database
p4 submit
Lockless Reads
Writer does not block
Reader
p4 changes
✗
Reader 4

5. 5
Before After
Total Commands 3,518,462 3,211,786
Total write-wait-time 58,468s
Total read-wait-time 1,033,957s
VMware with 5,000 users
(24 hour period)
3,430s
17X
992s 1000X

6. 6
read-wait-Time
before Lockless
1,200,000
1,000,000
800,000
600,000
400,000
200,000
0
read-wait-Time
db.resolve
db.integed
db.locks
db.have
1,200,000
1,000,000
800,000
600,000
400,000
200,000
0
read-wait-Time
after Lockless
read-wait-Time
db.resolve
db.integed

7. 7
write-wait-Time
before Lockless
70,000
60,000
50,000
40,000
30,000
20,000
10,000
0
write-wait-Time
db.change
db.resolve
db.counters
db.rev
db.have
db.locks
70,000
60,000
50,000
40,000
30,000
20,000
10,000
0
write-wait-Time
after Lockless
write-wait-Time
db.change
db.resolve
db.rev
db.have
db.locks

8. 8
Commands affected, before Lockless
Commands affected, after Lockless
1,749
Commands affected by delays
3,000
2,500
2,000
1,500
1,000
500
0 0
Seconds of
delay
1 2 4 8 16 32 64 128 256

9. 9
• Commit/Edge modes for server
• Local metadata with edge services
• Submits propagated to commit service
• Other commands execute locally
Commit
Edge Edge

10. 10
56.6
8.7
61
9.8
0.9 0.7 1.8 0.2
70
60
50
40
30
20
10
0
Sync Revert Integrate Edit
Direct Edge
Perforce Lab Benchmarks

11. 11
• Distribute workload to multiple nodes
• Better performance and experience for all users
From This… To This…
System Activity User Activity User Activity User Activity
2%
Commit
34% 33% 33%
Workspace
Server
Workspace
Server
Workspace
Server
Activity
100%
P4D

12. 12
Commit
WS WS WS WS
WS WS WS WS
• 100,000 simulated developers
• 742 Commands/sec
• 8 node cluster

13. 13
Router
P4D Depot
Depot
Master
P4D P4D
Master
NAS
Standby
LAN

14. 14
Lightweight
Caching
(Proxy)
Hardware
Intelligent
Caching
(Replica)
Locking & Transfer
Optimizations
Today
Repository
Federation
Data Centre
Distributed
Clustering

15. 15
Scalability and
High Availability Manageability Performance

16. 16
Router
P4D P4D Depot
Master
NAS
P4 Cluster
Manager
Depot
Standby P4D

17. 17
Router
P4D Depot
P4D P4D
Router
Depot
Master
Master P4D P4D P4D
NAS
NAS
P4D Stand-by P4D
WAN

18. 18
• Parallel Sync – cut Sync times by 50%-75%
• Parallel Submit – cut submit times in half
• File Delta transfers – reduce content size
• End to End optimizations for high latency

19. 19
Optimizations
for Reconcile/Status
Cut times by 75% or more
O
db.have –
reduced in size by
35%
Fewer pages = faster access
Optimizations
for Reconcile/Status
Cut times by 75% or more

20. 20
Clustering
• Horizontal Scaling
• High Availability
File Transfer
• Transmit in parallel
• Binary deltas
Multi-Data
Centre
• Failover to other site
Cluster
Manager
• Management Console
• Monitoring

21. 21
Thank you!
Questions?
See us in the Demo Lounge P4IdeaX Forums
John Palmer
jpalmer@perforce.com