Can you load 20 million records into Salesforce in under an hour? If not, this webinar is for you. You want to load tons of data into Salesforce. No problem, right? Just use the Bulk API and turn on parallel loading. Think again. Unless you carefully plan the big data loads that you want to break up into parallel operations to achieve maximum throughput, those loads can turn out more like slow, serial loads.

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7. -
5,000,000
10,000,000
15,000,000
20,000,000
25,000,000
OK Fast Faster
Records/Hour

13. Serial
Parallel
20M records
5M records
5M records
5M records
5M records
Time

14. Serial
Parallel
Time
5M records
5M records
5M records
5M records
20M records

15. Serial
Parallel
Time
5M records
5M records
5M records
5M records
20M records
Throughput
inhibitors

16. 
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18. 
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23. Thread
Thread
Thread
Thread
Thread
Thread
Thread
Thread
Thread
Thread
Thread
Thread
Thread
Thread
Thread
Thread
Time
• One job
• 100 batches
• 10,000 records/batch
• 1M total records

28. Concurrency Mode Serial
Records Loaded 1 million
Records Failed 0
Run Time 77 minutes
Work Completed 75 minutes
Throughput 13,000 records per minute
Degree of Parallelism 0.97
Key Problem Degree of parallelism explicitly limited to ~1.
Solution Explore parallel load for increased throughput.

29. 0
50000
100000
150000
200000
250000
300000
350000
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
Serial
Serial Run
• Low degree of parallelism
Degree of Parallelism
ThroughputRecords/Min

31. Thread
Thread
Thread
Thread
Thread
Thread
Thread
Thread
Thread
Thread
Thread
Thread
Thread
Thread
Thread
Thread
Time
• One job
• 100 batches
• 10,000 records/batch
• 1M total records

34. 


35. Concurrency Mode Parallel
Records Loaded 396,600
Records Failed 603,400
Run Time 17 minutes
Work Completed 3 hours 15 minutes
Throughput 22,000 records per minute
Degree of Parallelism 11.5
Key Problem Lock Exceptions. Server worked significantly harder but no increase in throughput.
Solution Run the load in serial mode or manage locks.

36. 0
50000
100000
150000
200000
250000
300000
350000
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
Serial
Parallel Run 1
• High degree of parallelism
• Low throughput due to locks
Degree of Parallelism
ThroughputRecords/Min
Parallel 1

37. 




39. Concurrency Mode Parallel
Records Loaded 1 million
Records Failed 0
Run Time 3 minutes and 30 seconds
Work Completed 1 hour
Throughput 320,000 records per minute
Degree of Parallelism 19
Key Problem None
Solution n/a

40. 0
50000
100000
150000
200000
250000
300000
350000
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
Serial
Parallel Run 2
• High degree of parallelism
• High throughput
Degree of Parallelism
ThroughputRecords/Min
Parallel 2
Parallel 1

41. 


43. 






44. Concurrency Mode Parallel
Records Loaded 1 million
Records Failed 0
Run Time 4 minutes
Work Completed 1 hour
Throughput 250,000 records per minute
Degree of Parallelism 16.5
Key Problem Minimal overhead due to locks
Solution Remove all unnecessary locks

45. 0
50000
100000
150000
200000
250000
300000
350000
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
Serial
Parallel Run 3
• High degree of parallelism
• High throughput
Degree of Parallelism
ThroughputRecords/Min
Parallel 2
Parallel 3
Parallel 1

47. 


48. 0
50000
100000
150000
200000
250000
300000
350000
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
Serial
Controlled Feed Run
• Reduced parallelism
• Expected throughput
Degree of Parallelism
ThroughputRecords/Min
Parallel 2
Parallel 3
Controlled Feed
Parallel 1

50. 
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