ETLBenchmarks Manapps 090127 - Marc Russel's Blog · PDF fileapplicable best practices. ......

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V 1.1 2008/10/20 ETL Benchmarks

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ETL Benchmarks V 1.1

Comparing

DATASTAGE SERVER 7.5

DATASTAGE PX 7.5

TALEND OPEN STUDIO 2.4.1

INFORMATICA 8.1.1

PENTAHO DATA INTEGRATOR 3.0.0

[email protected]

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Table of Contents

You are free: .................................................................................................................................... 2

Under the following conditions:...................................................................................................... 2

Table of Contents .................................................................................................................................... 3

General comments .................................................................................................................................. 5

Hardware Configuration.......................................................................................................................... 6

Test 1: File Input Delimited > File Output Delimited............................................................................... 8

Scenario: .............................................................................................................................................. 8

Test results: ....................................................................................................................................... 14

Test 2: File Input Delimited > Table MySQL Output.............................................................................. 15

Scenario: ............................................................................................................................................ 15

Test results: ....................................................................................................................................... 18

Test 3: Table Oracle Input > File Output Delimited............................................................................... 18

Scenario: ............................................................................................................................................ 18

Test results: ....................................................................................................................................... 25

Test 4: File Input Delimited > Table Output Oracle BULK ..................................................................... 26

Scenario: ............................................................................................................................................ 26

Test results: ....................................................................................................................................... 32

Test 5: File Input Delimited > Transform > File Output Delimited ........................................................ 33

Scenario: ............................................................................................................................................ 33

Tests result: ....................................................................................................................................... 45

Test 6: Table Input Oracle > Aggregation > Table Output Oracle (ELT) ................................................ 46

Scenario: ............................................................................................................................................ 46

Test results: ....................................................................................................................................... 52

Test 7: Tables Input Oracle > Transformation > Tables Output Oracle (ELT)........................................ 53

Scenario: ............................................................................................................................................ 53

Test results: ....................................................................................................................................... 59

Test 8: File Input Delimited > Sort > File Output Delimited .................................................................. 60

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Scenario: ............................................................................................................................................ 60

Tests result: ....................................................................................................................................... 66

Test 9: File Input Delimited > Aggregate > File Output Delimited ........................................................ 70

Scenario: ............................................................................................................................................ 70

Tests result: ....................................................................................................................................... 77

Test 10: File Input Delimited > Lookup > File Output Delimited ........................................................... 80

Scenario: ............................................................................................................................................ 80

Tests result: ....................................................................................................................................... 92

Test 11: File Input Delimited > Lookup > File Output Delimited && rejects ......................................... 96

Scenario: ............................................................................................................................................ 96

Tests result: ..................................................................................................................................... 109

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General comments

This document constitutes Version 1.1 of the ETL Benchmark, as version 1.0 showed inaccurate tests results for the PowerCenter solution powered by Informatica, as our tests were carried out with inadequate settings for this product.

An expert from Informatica suggested adapted settings, and the same tests were run again on the same environment, in order to preserve the benchmarking basis between all compared ETL tools.

Use of this settings on the Informatica PowerCenter solution greatly improve the results obtained by this solution on the same ETL benchmark tests, as detailed in this corrected version of our benchmark.

This Version 1.1 of the benchmark thus includes the updated results and comparison between all tested tools, and Annexe1 details the changes in the use of the Informatica software.

We are open to comments from all tested editors, but also to other publishers, and are ready to give access to our testing conditions in order to allow them to verify the results obtained by their products and to suggest applicable best practices.

For the tests with DataStage PX, we used 2 nodes to take advantage of the dual cores and of the parallelization feature of the tool.

Results: Even if it is difficult to give results for this kind of benchmark, and we think that each test is different, some people ask us to give a global synthesis of those tests.

Global performance: As requested by some people after the issue of version 1.0 of this ETL Benchmark, we have assigned, for each test, a specific number of points to the tested solutions (5 points to the best, 4 to the second…1 to the fifth). According to this scenario, results are as follows:

o First: Informatica 8.1.1 (353 points)

o Second: Talend Open Studio 2.4.1 (333 points)

o Third: IBM Datastage PX 7.5 (239 points)

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o Fourth: IBM Dataserver 7.5 (199 points)

o Fifth: Pentaho Data Integration 3.0.0 (148 points)

Below are the detailed results:

TOS 2.4.1 PDI 3.0.0 IBM DS 7.5 IBM DS PX 7.5 INFA PWC 8.1.1Test1 13 7 19 8 16Test2 0 0 0 0 0Test3 13 3 7 9 11Test4 8 7 12 5 13Test5 15 4 13 12 18Test6 15 4 10 5 12Test7 11 3 7 8 15Test8 13 12 5 14 16Test8.2 12 13 4 15 18Test8.3 12 12 4 15 17Test9 12 6 15 12 17Test9.2 16 5 12 9 19Test9.3 12 8 13 11 16Test10 20 7 12 10 13Test10.2 20 6 6 13 16Test10.3 16 6 6 14 18Test10.4 12 4 8 17 19Test11 20 7 10 8 16Test11.2 20 6 6 12 16Test11.3 16 6 6 13 19Test12 20 8 13 6 13Test12.2 20 7 6 11 16Test12.3 17 7 5 12 19Total 333 148 199 239 353

In terms of intuitiveness and ease of use, Talend Open Studio and DataStage Server are ahead of the pack. DataStage PX comes in the third position, Informatica in fourth and the least intuitive is Pentaho Data Integrator. Our main reason for this assessment of Pentaho is mostly linked to the many parameters that need to be learnt. However, we think that if you invest lots of time in it, it could become an powerful tool.

Open Source ETL & Parallelization: Pentaho Data Integrator claims the first position here. It is easier to parallelize with PDI. We did however fine some issues with the way the tool lets you to parallelize all the components, but some results are inconsistent.

Hardware Configuration

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OS: Windows XP Pro SP2 CPU: Intel Core2 Duo 2 GHz JVM 1.6.0_87 RAM: 4 Go

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Test 1: File Input Delimited > File Output Delimited

Scenario:

Reading X lines from a file input delimited and writing in a file output delimited.

File input delimited extract:

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TALEND OPEN STUDIO

Job name: file_input_delimited__file_output_delimited

Job

Schema of file_input_delimited

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PENTAHO DATA INTEGRATION


Job


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DATASTAGE SERVER


Job


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DATASTAGE PX

Job name: PX_file_input_delimited__file_output_delimited

Job


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INFORMATICA


Job


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Test results:

Test 1: File Input Delimited > File Output Delimited

Lines 100 000 1 000 000 5 000 000 20 000 000 TOS 2.4.1 1,00 7,80 39,10 162,09 PDI 3.0.0 2,00 15,50 83,80 417,80 IBM DS 7.5 2,00 4,00 12,50 66,00 IBM DS PX 7.5 3,40 12,00 40,00 150,00 INFA PWC 8.1.1 2,00 7,00 18,00 74,00

Statistics: Number of lines TOS 2.4.1 PDI 3.0.0 DataStage 7.5 DataStage PX 7.5 Informatica 8.1.1

ratio compared with TOS 2.4.1

100 000 2 2 3,4 2

1 000 000 1,99 0,51 1,54 0,9

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5 000 000 2,14 0,32 1,02 0,46

20 000 000 2,58 0,41 0,93 0,47

Test 2: File Input Delimited > Table MySQL Output

Scenario:

Reading X lines from a file input delimited and writing into a table output MySQL. Comments:

DataStage 7.5, DataStage PX 7.5 and Informatica 8.1.1 are not tested for this use case. To begin, the test has been done with default parameters. To optimize the performances, the commit parameter has been learned. To finish, the job has been parallelize. To parallelize with TOS 2.4.1, we just have to cut through our file input delimited (With the header and the limit parameters) and parallelize two sub‐jobs. With PDI 3.0.0, we just have to increment the number of copy.

TOS 2.4.1 permits to use the extended insert, which is a MySQL feature. This feature limits the number of database accesses and increases the performances. With this feature, TOS 2.4.1 is 6 times faster.

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TALEND OPEN STUDIO

Job name: file_input_delimited__table_output_mysql

Job (Multi‐Thread Execution checked on Job Settings)


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Job name: file_input_delimited__table_output_mysql

Job


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Test results:

Test 2: File Input Delimited > Table MySQL Output

Lines 100 000 1 000 000 5 000 000 TOS 2.4.1 15,26 144,50 731,78 PDI 3.0.0 14,90 151,80 843,90 TOS 2.4.1 with Extended Insert 2,60 25,00 129,00

Statistics:

Number of lines TOS 2.4.1 PDI 3.0.0 TOS 2.4.1 Extended Insert


100 000 0,98 0,18 1 000 000 1,05 0,17 5 000 000 1,15 0,18

Test 3: Table Oracle Input > File Output Delimited

Scenario:

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Reading X lines from a table output Oracle and writing into a file output delimited.

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TALEND OPEN STUDIO

Job name: table_input_oracle__file_output_delimited

Job

Schema of table_input_oracle

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Job

SCHEMA VIEWER NOT POSSIBLE


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DATASTAGE SERVER


Job


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DATASTAGE PX

Job name: PX_table_input_oracle__file_output_delimited

Job


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INFORMATICA


Job


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Test results:

Test 3: Table Oracle Input > File Output Delimited

Lines 100 000 500 000 1 000 000TOS 2.4.1 2,25 6,26 14,25PDI 3.0.0 4,78 21,20 37,40IBM DS 7.5 4,00 11,00 19,00IBM DS PX 7.5 4,00 8,00 15,00INFA PWC 8.1.1 5 6 9



100 000 2,12 1,78 1,78 2

500 000 3,39 1,76 1,28 0,95

1 000 000 2,62 1,33 1,05 0,63

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Test 4: File Input Delimited > Table Output Oracle BULK

Scenario:

Reading X lines from a file input delimited and writing into a table output Oracle BULK.

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TALEND OPEN STUDIO

Job name: file_input_delimited__table_output_oracle_bulk

Job

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Job


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DATASTAGE SERVER


Job


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DATASTAGE PX

Job name: PX_file_input_delimited__table_output_oracle_bulk

Job


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INFORMATICA


Job


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Test results:

Test 4: File Input Delimited > Table Output Oracle BULK

Lines 100 000 1 000 000 2 000 000TOS 2.4.1 4,36 22,12 49,66PDI 3.0.0 2,60 30,60 72,70IBM DS 7.5 3,00 18,00 40,00IBM DS PX 7.5 6,00 27,00 55,00INFA PWC 8.1.1 4 7 11



100 000 0,6 0,69 1,38 0,92

1 000 000 1,38 0,81 1,22 0,31

2 000 000 1,46 0,8 1,11 0,22

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Test 5: File Input Delimited > Transform > File Output Delimited

Scenario:

Reading X lines from a file input delimited and writing in a file output delimited after some changes. Changes list:

• The field `rate` content is multiplied by 100. • The new field `name` is a concatenation (`firstname`+ « » +`lastname`). • The fields `address` content is converted to uppercase.

Comments: Pentaho Data Integration hasn’t any graphic component to transform data. Thus, we have to use a custom code component. The used language is JavaScript. The four others ETL got a transformer to do this. Talend Open Studio got a custom code too, named tJavaRow or tPerlRow.

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TALEND OPEN STUDIO

Job name: file_input_delimited__transformation__file_output_delimited

Job


Schema of file_output_delimited

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tMap

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Job



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JavaScript Custom Code

Select Values

Select Values

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DATASTAGE SERVER


Job



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Transformer

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DATASTAGE PX

Job name: PX_file_input_delimited__transformation__file_output_delimited

Job



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Transformer

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INFORMATICA


Job


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Mapping

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Tests result:

Test 5: File Input Delimited > Transform > File Output Delimited

Lines 100 000 1 000 000 5 000 000 20 000 000 TOS 2.4.1 1,30 8,50 43,10 183,13 PDI 3.0.0 5,30 51,00 259,40 1126,10 IBM DS 7.5 2,00 10,00 56,00 178,00 IBM DS PX 7.5 4,75 11,33 41,00 155,00 INFA PWC 8.1.1 3,00 6,00 17,00 74,00



100 000 4,07 1,54 3,65 2,3

1 000 000 6 1,18 1,33 0,7

5 000 000 6,02 1,3 0,95 0,39

20 000 000 6,16 0,97 0,84 0,4

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Test 6: Table Input Oracle > Aggregation > Table Output Oracle (ELT)

Scenario:

Reading X lines from tables input Oracle and writing into another tables output Oracle (ELT Mod).

Comments: Only Talend Open Studio permits to use an ELT mod. Informatica got the Push Down Optimization, but I didn’t find this feature on the tool.

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TALEND OPEN STUDIO

Job names: ELT__table_input_oracle__aggregate_group_by_age_count__table_output_oracle

Job (ELT)


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Job name: table_input_oracle__aggregate_group_by_age_count__table_output_oracle

Job



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DATASTAGE SERVER


Job


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DATASTAGE PX

Job name: PX_table_input_oracle__aggregate_group_by_age_count__table_output_oracle

Job


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INFORMATICA


Job


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Test results:

Test 6: Table Input Oracle > Aggregation > Table Output Oracle (ELT)




100 000 3,44 1,94 6,45 3,22

500 000 15,9 5,71 8,57 2,14

1 000 000 28,28 8,09 10,36 2,36

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Test 7: Tables Input Oracle > Transformation > Tables Output Oracle (ELT)

Scenario:

Reading X lines from tables input Oracle and writing into another tables output Oracle (ELT Mod) after some changes.

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TALEND OPEN STUDIO

Job name: table_input_oracle__elt__table_output_oracle

Job (ELT)

Schema of table_lookup_oracle


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Job





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DATASTAGE SERVER


Job



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DATASTAGE PX

Job name: PX_table_input_oracle__elt__table_output_oracle

Job



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INFORMATICA


Job


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Test results: Test 7: Tables Input Oracle > Transformation > Tables Output Oracle (ELT)




100 000 6,4 2,12 2,5 0,83

500 000 8,67 2,79 1,31 0,39

1 000 000 7,26 2,2 0,9 0,27

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Test 8: File Input Delimited > Sort > File Output Delimited

Scenario:

Reading X lines from a file input delimited and writing in a file input delimited sorted. Sorts list:

• Order by the integer field `age` ASC. • Order by the string field `firstname` ASC. • Order by the fields `age` and `firstname` ASC.

Comments: With the version used, I can’t do sort in memory with Pentaho Data Integrator. But the feature is present on latest version. On Talend Open Studio, with a large volume (5 000 000 and 20 000 000), we have to use the component tExternalSort which use GNU sort, a sort software.

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TALEND OPEN STUDIO

Job names: • file_input_delimited__sort_on_age__file_output_delimited • file_input_delimited__sort_on_firstname__file_output_delimited • file_input_delimited__sort_on_firstname_and_age__file_output_delimited

Job


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Job


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DATASTAGE SERVER


Job


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DATASTAGE PX

Job names: • PX_file_input_delimited__sort_on_age__file_output_delimited • PX_file_input_delimited__sort_on_firstname__file_output_delimited • PX_file_input_delimited__sort_on_firstname_and_age__file_output_delimited

Job


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INFORMATICA


Job


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Tests result:


Sorted by Age

Sorted by age Lines 100 000 1 000 000 5 000 000 20 000 000 TOS 2.4.1 1,44 15,73 188,21 1016,03 PDI 3.0.0 3,63 32,85 155,95 668,20 IBM DS 7.5 4,20 60,70 267,70 IBM DS PX 7.5 4,00 16,25 64,50 492,67 INFA PWC 8.1.1 5,00 13,00 50,00 201,00



100 000 2,51 2,92 2,78 3,47

1 000 000 2,09 3,86 1,03 0,82

5 000 000 0,83 1,42 0,34 0,26

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20 000 000 0,66 +++ 0,48 0,2


Sort By First Name

Sorted by firstname Lines 100 000 1 000 000 5 000 000 20 000 000 TOS 2.4.1 1,69 18,05 168,46 1071,20 PDI 3.0.0 3,40 31,20 157,15 739,20 IBM DS 7.5 6,00 58,00 426,00 IBM DS PX 7.5 4,00 16,00 57,00 624,00 INFA PWC 8.1.1 4,00 13,00 51,00 223,00



100 000 2,01 3,55 2,37 2,36

1 000 000 1,73 3,21 0,89 0,72

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5 000 000 0,93 2,53 0,34 0,3

20 000 000 0,69 +++ 0,58 0,21


Sort By First Age, Name

Sorted by age & firstname Lines 100 000 1 000 000 5 000 000 20 000 000 TOS 2.4.1 1,33 17,40 225,03 1007,00 PDI 3.0.0 3,22 29,27 159,10 842,20 IBM DS 7.5 7,33 60,00 360,00 IBM DS PX 7.5 4,50 16,33 59,00 582,50 INFA PWC 8.1.1 5,00 13,00 49,00 211,00



100 000 2,42 5,51 3,38 3,75

1 000 000 1,68 3,45 0,94 0,74

5 000 000 0,71 1,6 0,26 0,22

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20 000 000 0,84 +++ 0,58 0,21

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Test 9: File Input Delimited > Aggregate > File Output Delimited

Scenario:

Reading X lines from a file input delimited, achieving an aggregation and writing the operations result in a file output delimited. 1 – Group by the field `age`; Operation: COUNT. 2 – Group by the field `age`; Operations: COUNT, SUM(rate), AVG(rate), MIN(rate), MAX(rate).

3 – Group by the field `firstname`; Operations: COUNT.

Comments: When the output flow is too big (aggregate by firstname with big volume here), we have to use the tSortedAggregateRow on Talend Open Studio. This component sorts rows before the aggregation. On this case, Pentaho Data Integrator failed.

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TALEND OPEN STUDIO

Job names: • file_input_delimited__aggregate_group_by_age_count__file_output_delimited • file_input_delimited__aggregate_group_by_age_count_sum_avg_min_max__file_o

utput_delimited • file_input_delimited__aggregate_group_by_firstname_count__file_output_delimit

ed

Job

Job using the tExternalSortRow component

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Schema of file_output_delimited file_input_delimited__aggregate_group_by_age_count__file_output_delimited

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ed

Job



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DATASTAGE SERVER



ed

Job



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DATASTAGE PX

Job names: • PX_file_input_delimited__aggregate_group_by_age_count__file_output_delimited • PX_file_input_delimited__aggregate_group_by_age_count_sum_avg_min_max__fi

le_output_delimited • PX_file_input_delimited__aggregate_group_by_firstname_count__file_output_deli

mited

Job



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INFORMATICA



ed

Job



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Tests result:

Test 9: File Input Delimited > Aggregate > File Output Delimited

Group by age (count)

Group by Age (Count) Lines 100 000 1 000 000 5 000 000 20 000 000 TOS 2.4.1 0,62 6,99 30,05 124,16 PDI 3.0.0 2,70 26,53 134,30 466,50 IBM DS 7.5 2,00 6,00 21,00 128,00 IBM DS PX 7.5 4,00 6,50 21,33 78,00 INFA PWC 8.1.1 3,00 5,00 8,00 27,00



100 000 4,35 3,23 6,45 4,84

1 000 000 3,8 0,86 0,93 0,72

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5 000 000 4,47 0,7 0,71 0,27

20 000 000 3,76 1,03 0,63 0,22

Test 9: File Input Delimited > Aggregate > File Output Delimited Group by Age (Count, Sum(Rate), Avg(Rate), Min(Rate), Max(Rate))

Group by Age (Count, Sum(Rate), Avg(Rate), Min(Rate), Max(Rate)) Lines 100 000 1 000 000 5 000 000 20 000 000TOS 2.4.1 0,84 7,44 37,61 139,12PDI 3.0.0 2,60 25,20 138,30 426,00IBM DS 7.5 2,00 11,00 50,00 184,00IBM DS PX 7.5 11,25 15,33 33,50 254,33INFA PWC 8.1.1 2,00 6,00 12,00 38,00 Statistics: Number of lines TOS 2.4.1 PDI 3.0.0 DataStage 7.5 DataStage PX 7.5 Informatica 8.1.1


100 000 3,1 2,38 13,39 2,38

1 000 000 3,39 1,48 2,06 0,8

5 000 000 3,68 1,33 0,89 0,31

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20 000 000 3,06 1,32 1,91 0,27

Test 9: File Input Delimited > Aggregate > File Output Delimited Group by FirstName (Count)

Group by FirstName (Count) Lines 100 000 1 000 000 5 000 000 20 000 000 TOS 2.4.1 0,86 7,89 198,79 928,08 PDI 3.0.0 2,70 29,70 162,30 544,00 IBM DS 7.5 2,00 14,00 68,00 424,00 IBM DS PX 7.5 4,50 11,00 40,00 505,00 INFA PWC 8.1.1 4 9 23 85



100 000 3,14 2,33 5,23 4,65

1 000 000 3,76 1,77 1,39 1,14

5 000 000 0,82 0,34 0,2 012

20 000 000 0,59 0,46 0,54 0,092

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Test 10: File Input Delimited > Lookup > File Output Delimited

Scenario:

Reading X lines from a file input delimited, looking up to another file input delimited, for 4 fields using id_client column. Writing the jointure result into a file output delimited.

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TALEND OPEN STUDIO

Job name: file_input_delimited__file_lookup_delimited__file_output_delimited

Job


Schema of file_lookup_delimited

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Schema file_output_delimited

tMap Component

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Job



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Mapping Component

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DATASTAGE SERVER


Job


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Transformer Component

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DATASTAGE PX

Job name: PX_file_input_delimited__file_lookup_delimited__file_output_delimited

Job


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INFORMATICA


Job



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Tests result:


Lookup 100 000 rows ~7MB

Lookup 100 000 rows ~7MB Lines 100 000 1 000 000 5 000 000 20 000 000 TOS 2.4.1 1,45 6,39 28,72 108,37 PDI 3.0.0 4,14 21,40 87,60 288,90 IBM DS 7.5 5,00 10,60 33,00 139,00 IBM DS PX 7.5 5,00 12,20 40,00 122,00 INFA PWC 8.1.1 5,00 11,00 32,00 116,00



100 000 2,86 3,45 3,45 3,44

1 000 000 3,35 1,66 1,91 1,72

5 000 000 3,05 1,15 1,39 1,11

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20 000 000 2,67 1,28 1,13 1,07






100 000 2,03 7,18 1,79 1,03

1 000 000 2,76 3,71 1,46 1,24

5 000 000 3,01 1,73 1,24 1,02

20 000 000 2,52 1,69 1,05 1,05

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Lookup 1 000 000 rows ~68MB

Lookup 1 000 000 rows ~68MB Lines 100 000 1 000 000 5 000 000 20 000 000 TOS 2.4.1 9,86 14,26 38,6 121,44 PDI 3.0.0 14,50 32,20 116,60 487,25 IBM DS 7.5 68,30 80,00 102,00 203,00 IBM DS PX 7.5 9,25 15,00 40,00 123,00 INFA PWC 8.1.1 5,00 12,00 35,00 142,00



100 000 1,47 6,93 0,94 0,51

1 000 000 2,26 5,61 1,05 0,84

5 000 000 3,02 2,64 1,04 0,91

20 000 000 4,01 1,67 1,01 1,16

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Lookup 5 000 000 rows ~365MB Lines 100 000 1 000 000 5 000 000 20 000 000 TOS 2.4.1 56,51 69,1 199,26 557,1 PDI 3.0.0 IBM DS 7.5 369,00 407,00 496,00 973,00 IBM DS PX 7.5 24,00 30,00 55,00 134,00 INFA PWC 8.1.1 11,00 14,00 42,00 141,00 Statistics: Number of lines TOS 2.4.1 PDI 3.0.0 DataStage 7.5 DataStage PX 7.5 Informatica 8.1.1


100 000 Failed 6,53 0,42 0,19

1 000 000 Failed 5,89 0,43 0,2

5 000 000 Failed 2,49 0,28 0,21

20 000 000 Failed 1,75 0,24 0,25

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Test 11: File Input Delimited > Lookup > File Output Delimited && rejects

Scenario:

Reading X lines from a file input delimited, looking up to another file input delimited, for 4 fields using id_client column. Writing the jointure result into a file output delimited and the output rejects into another files output delimited.

1 – Filter rejects: `age` content < 18 2 – Filter rejects: `age` content < 18 and inner join reject

Comments: Talend Open Studio and DataStage Server are the more ergonomic tools to manage the expression filter rejects and inner join rejects (with the Transformer component (tMap on Talend Open Studio)). For DataStage PX, Pentaho Data Integrator and Informatica, we have to use filter components. Talend Open Studio, Informatica and DataStage Server are the more ergonomic tools to manage the expression filter rejects and inner join rejects. For DataStage PX, Pentaho and Data Integrator, we have to use filter components.

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TALEND OPEN STUDIO

Job name: file_input_delimited__file_lookup_delimited__file_output_delimited__rejects_file_output_delimited

Job



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Schema of file_output_delimited (age>=18)

Schema of file_output_delimited (age<18) = Schema of file_ output _delimited

tMap Component

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Job



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Mapping Component

DATASTAGE SERVER

Job name:

file_input_delimited__file_lookup_delimited__file_output_delimited__rejects_file_output_delimited

Job


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Schema file_lookup_delimited



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DATASTAGE PX

Job name: PX_file_input_delimited__file_lookup_delimited__file_output_delimited__rejects_file_output_delim

ited

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Schema of file_output_delimited (age<18) = Schema of file_output_delimited

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INFORMATICA


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Schema of file_output_delimited (age<18) = Schema of file_output_delimited


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Tests result:


Lookup 100 000 rows ~7MB + Filter 18 years




100 000 2,19 3,97 4,64 3,31

1 000 000 2,54 1,56 2,08 1,48

5 000 000 2,65 1,22 1,39 1,12

20 000 000 3 1,42 1,35 1,18

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Lookup 500 000 rows ~34MB + Filter 18 years




100 000 1,83 6,71 1,76 1,17

1 000 000 2,21 3,66 1,54 1,08

5 000 000 2,51 1,76 1,38 1,05

20 000 000 2,77 1,54 1,39 1,13

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Lookup 1 000 000 rows ~68MB + Filter 18 years

Lookup 1 000 000 rows ~68MB Lines 100 000 1 000 000 5 000 000 20 000 000 TOS 2.4.1 10,2 15,22 38,31 126,63 PDI 3.0.0 14,10 32,35 111,35 319,05 IBM DS 7.5 66,00 68,00 95,00 220,00 IBM DS PX 7.5 9,00 18,00 51,00 153,33 INFA PWC 8.1.1 6,00 14,00 34,00 130,00



100 000 1,38 6,47 0,88 0,59

1 000 000 2,13 4,47 1,18 0,92

5 000 000 2,91 1,7 1,33 0,89

20 000 000 2,52 1,74 1,21 1,03

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TALEND OPEN STUDIO

Job name: file_input_delimited__file_lookup_delimited__file_output_delimited__rejects_and_innerjoin_rejects

_file_output_delimited

Job


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Schema of file_output_delimited (age>=18)

Schema of file_output_delimited (age<18) = Schema of file_output_delimited Schema of file_output_delimited (inner join rejects) = Schema of file_output_delimited

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tMap Component

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Job



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Mapping Component

DATASTAGE SERVER



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DATASTAGE PX

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ects_file_output_delimited

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INFORMATICA



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Test 12: file_input_delimited >_file_lookup_delimited > file_output_delimited__rejects && innerjoin_rejects_file_output_delimited



Statistics:

Number of lines TOS 2.4.1 PDI 3.0.0 DataStage 7.5 DataStage PX 7.5 Informatica 8.1.1


100 000 1,83 4,22 6,34 2,82

1 000 000 2,3 1,77 2,7 2,12

5 000 000 2,43 1,22 1,92 1,64

20 000 000 3,07 1,28 1,37 1,13

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Lookup 500 000 rows ~34MB Lines 100 000 1 000 000 5 000 000 20 000 000 TOS 2.4.1 4,16 8,74 30,34 120,53 PDI 3.0.0 7,26 19,30 72,25 319,60 IBM DS 7.5 28,00 35,50 63,00 189,50 IBM DS PX 7.5 11,00 16,00 44,00 150,00 INFA PWC 8.1.1 5 11 33 127



100 000 1,75 6,73 6,73 1,2

1 000 000 2,21 4,06 1,83 1,26

5 000 000 2,38 2,08 1,45 1,09

20 000 000 2,65 1,57 1,24 1,05

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Lookup 1 000 000 rows ~68MB Lines 100 000 1 000 000 5 000 000 20 000 000 TOS 2.4.1 10,98 15,18 38,49 126,57 PDI 3.0.0 13,30 27,35 79,00 413,45 IBM DS 7.5 38,49 90,40 108,00 231,00 IBM DS PX 7.5 13,00 19,00 49,00 134,00 INFA PWC 8.1.1 6 13 37 131



100 000 1,21 3,51 1,18 0,55

1 000 000 1,8 5,96 1,25 0,86

5 000 000 2,05 2,81 1,27 0,96

20 000 000 3,27 1,83 1,06 1,04

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Annex 1: Informatica settings and results

This annex presents the settings changes made by Informatica and limitations they have found

Comments and amendment done on the basic PowerCenter 8.1.1 installation: *** Since the 'benchmark' machine is a tiny laptop with limited ressource (XP 32bit, Core2 Duo CPU and 3,43 GB of RAM) we've done following change:

‐ Auto‐Memory deactivation:

MaxMem at 0 in the Default Session Config

‐ High Availability storage deactivation:

EnableHAStorage at No for the 'Integration Service

‐ Metadata Manager and Reporting Service deactivation

*** Configuration amendments :

‐ Unix environment variable INFA_DEFAULT_DOMAIN added

‐ Custom variable FileRdrTreatNullCharAs on the Integration Service added (NULL character are encountered in source data files)

*** Standard Oracle 10g (10.1.0.2.0) Database installation with:

sga_max_size=164MB

pga_aggregate_target=115MB

Comments and "bestpractices" for the tests: Test 1: File Input Delimited > File Output Delimited - dynamic partitioning at 2 with more than 5 millions rows This is a Disk Bounded test Test 2: File Input Delimited > Table MySQL Output Not Applicable Test 3: Table Oracle Input > File Output Delimited - no partitioning as it's too small in volume and short in time Test 4: File Input Delimited > Table Output Oracle BULK

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- commit size at 100000 - dynamic partitioning at 2 with 2 millions rows This is a Disk Bounded test Test 5: File Input Delimited > Transform > File Output Delimited - function "CONCAT(CONCAT(firstname,' '),lastname)" is replaced by "firstname || ' ' || lastname" - dynamic partitioning at 2 with more than 5 millions rows This is a Disk Bounded test Test 6: Table Input Oracle > Aggregation > Table Output Oracle (ELT) - no partitioning as it's too small in volume and short in time Oracle database is not 'tuned' for ELT mode Test 7: Tables Input Oracle > Transformation > Tables Output Oracle (ELT) - commit size at 50000 - no partitioning as it's too small in volume and short in time Oracle database is not 'tuned' for ELT mode Test 8: File Input Delimited > Sort > File Output Delimited - sorter memory adjustment This is a memory limited test at 20 millions rows (2 pass sort are required) and also disk limited sometime Test 9: File Input Delimited > Aggregate > File Output Delimited - dynamic partitioning at 2 with more than 5 millions rows in source - aggregator memory adjustment This is a CPU bounded test Test 10: File Input Delimited > Lookup > File Output Delimited - dynamic partitioning at 2 with more than 5 millions rows in source or lookup - lookup memory adjustment - lookup in the flow with hash partitioning point This is a CPU bounded test Test 11: File Input Delimited > Lookup > File Output Delimited && rejects - use of router in place of filters - dynamic partitioning at 2 with more than 5 millions rows in source - lookup memory adjustment - lookup in the flow with hash partitioning point This is a CPU bounded test Test 12: file_input_delimited >_file_lookup_delimited > file_output_delimited__rejects && innerjoin_rejects_file_output_delimited - use of router in place of filters - dynamic partitioning at 2 with more than 5 millions rows in source - lookup memory adjustment - lookup in the flow with hash partitioning point This is a CPU bounded test

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