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Fast Parallel Data Loading with the Bulk API #Forcewebinar - Salesforce1

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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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5,000,000

10,000,000

15,000,000

20,000,000

25,000,000

OK Fast Faster

Records/Hour

Serial

Parallel

20M records

5M records

5M records

5M records

5M records

Time

Serial

Parallel

Time

5M records

5M records

5M records

5M records

20M records

Serial

Parallel

Time

5M records

5M records

5M records

5M records

20M records

Throughput

inhibitors

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Time

• One job

• 100 batches

• 10,000 records/batch

• 1M total records

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.

0

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100000

150000

200000

250000

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350000

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Serial

Serial Run

• Low degree of parallelism

Degree of Parallelism

Thro

ughput R

ecord

s/M

in

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Time

• One job

• 100 batches

• 10,000 records/batch

• 1M total records

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.

0

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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

Thro

ughput R

ecord

s/M

in

Parallel 1

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

0

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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

Thro

ughput R

ecord

s/M

in

Parallel 2

Parallel 1

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

0

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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

Thro

ughput R

ecord

s/M

in

Parallel 2

Parallel 3

Parallel 1

0

50000

100000

150000

200000

250000

300000

350000

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Serial

Controlled Feed Run

• Reduced parallelism

• Expected throughput

Degree of Parallelism

Thro

ughput R

ecord

s/M

in

Parallel 2

Parallel 3

Controlled Feed

Parallel 1