Adeptia conducts extensive performance testing with each release to ensure improving and better performance of its product. Some performance benchmarks are provided here for reference:

Test A - Large number of small files (EDI)
Test B - Large sized EDI (no Large Data Ingestion)
Test C - Large file processing with Large Data Ingestion
Test D - UI Load Testing with Concurrent Users

Test A - Large Number of Small EDI Files

System Configuration

Cluster = 2 nodes (Kernel + WebRunner)
Processor = Intel Xeon CPU E5-2686 2.30GHz
Number Of Cores = 4
Total RAM = 16GB
OS = Windows Server 2012 R2 64-bit
Backend / Log Database - AWS SQL RDS
Kernel = 8GB

Result - All tests ran successfully

Scenario	File Size x # of Files	Average Time per File	Total Time	Throughput
Inbound File Type – EDI 4010 Orders Mapping – Medium Complex # of ST = 1	2KB x 3000	5s	12m	4 files/sec
Inbound File Type – EDI 4010 Orders Mapping – Medium Complex # of ST = 1	2KB x 6000	5s	23m	4 files/sec
Inbound File Type – EDI 4010 Orders Mapping – Medium Complex # of ST = 1	2KB x 20,000	6s	1h 23m	4 files/sec
Inbound File Type – EDI 4010 Orders Mapping – Medium Complex # of ST = 44	37KB x 1000	2m	1h 12m	4 files/sec
Outbound EDI from IDOC File Type – EDI 4010 Invoice Mapping – Medium Complex	14KB x 3000	3s	10m	5 files/sec

Test B - Large Sized EDI Files

System Configuration

Single node (no cluster)
Processor = Intel Xeon CPU E5-2686 2.30GHz
Number Of Cores = 4
Total RAM = 16GB
OS = Windows Server 2012 R2 64-bit
Backend / Log Database - AWS Oracle RDS
Kernel = 8GB

Result: All tests ran successfully

Scenario

File Size x # of Files

Max CPU %

Max RAM %

Max. Kernel Heap

Total Time

Inbound

File Type – EDI 4010

ISA : 1

GS : 1

Transaction Set : 5000

~ 25-35 segments in each transaction set

2.79MB x 1

42%

38%

1.1GB

2m 34s

Inbound

File Type – EDI 4010

ISA : 1

GS : 13

Transaction Set : 1 ST in each GS

~ 140000 segments in each transaction set

40.1MB x 1

88%

46%

2.3GB

11m 3s

Inbound

File Type – EDI 4010

ISA : 1

GS : 1

Transaction Set : 10000

~ 50-103 segments in each Transaction set

13.6MB x 1

72%

43%

2.2GB

5m 16s

Test C - Large File Processing with Large Data Ingestion

System Configuration

Single node (no cluster)
Processor = Intel Xeon CPU E5-2686 2.30GHz
Number Of Cores = 4
Total RAM = 16GB
OS = Windows Server 2012 R2 64-bit
Backend / Log Database - AWS Oracle RDS
Kernel = 8GB

Result: All test ran successfully

Scenario	File Size x # of Files	Number of Records per file	Max CPU %	Max RAM %	Time
File Type – XML Mapping – Simple 1-to-1 # of Files = 1	25GB x 1	696895	27%	34%	23m 48s
	50GB x 1	1393690	27%	34%	47m 30s
	200GB x 1	5574760	27%	34%	3h 10m
	500GB x 1	13936900	27%	34%	7h 52m
File Type – XML Mapping – Simple 1-to-1 # of Files = 50 parallel	25GB x 50	696895	100%	37%	10h 7m (total) 8h 51m (avg/file)
	50GB x 50	1393690	100%	37%	19h 45m (total) 17h 13m (avg/file)
File Type – XML Mapping – Complex (Functions used: Math, String, DB Look, If Condition) # of Files = 1	25GB x 1	696895	29%	36%	33m 30s
	50GB x 1	1393690	29%	36%	1h 7m
	200GB x 1	5574760	29%	36%	4h 27m
	500GB x 1	13936900	29%	36%	11h 13m
File Type – XML Mapping – Complex # of Files = 50 parallel	25GB x 50	696895	100%	39%	9h 59m (total) 8h 22m (avg/file)
File Type – XML Mapping – Complex # of Files = 50 parallel	50GB x 50	1393690	100%	39%	20h 2m (total) 15h 53m (avg/file)
File Type – TEXT Mapping – Simple 1-to-1 # of Files = 1	25GB x 1	696895	45%	36%	6h 26m
	50GB x 1	1393690	45%	36%	12h 40m
	200GB x 1	5574760	45%	36%	51h 30m

Test D - UI Load Testing with Concurrent Users

System Configuration

Single node (no cluster)
Processor = Intel Xeon CPU E5-2686 2.30GHz
Number Of Cores = 4
Total RAM = 16GB
OS = Linux 64-bit
Backend / Log Database - AWS Oracle RDS
Kernel = 8GB
Tool used = JMeter

Result: All tests ran successfully

Scenario

Home Page

Dashboard

Network

Partners

Transactions

Max CPU %

Max RAM %

# of Partners and Transactions in Back-end DB = 1138

# of Concurrent Users = 25

# of Loops (iterations) = 50

4.2s

1.1s

0.8s

0.4s

0.6s

53%

64%

# of Partners and Transactions in Back-end DB = 1638

# of Concurrent Users = 25

# of Loops (iterations) = 50

4.3s

1.0s

0.9s

0.3s

0.4s

49%

59%

# of Partners and Transactions in Back-end DB = 2200

# of Concurrent Users = 25

# of Loops (iterations) = 50

4.3s

1.2s

1s

0.3s

0.5s

36%

60%

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