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Qlik Replicate SQL view replication: float data column inconsistency

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Michael_Litz
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Qlik Replicate SQL view replication: float data column inconsistency

Last Update:

Sep 26, 2024 9:13:55 AM

Updated By:

Sonja_Bauernfeind

Created date:

Sep 26, 2024 9:13:55 AM

Data inconsistencies can be observed when replicating an SQL view from SQL to Hadoop. The column in the underlying table is of the FLOAT data type.

Example:

The source has 5 decimals, while the target has more than 10.

SQL Source value of the float datatype = 11.14008 T
Hadoop Target value of the float datatype = 11.1400800000000001

 

Environment

  • Qlik Replicate 2023.11 and later releases

 

Resolution

Qlik Replicate does not add precision explicitly. The behavior is caused by the nature of the FLOAT datatype; no configuration steps or workarounds exist to change the datatype's behavior.

 

Cause

FLOAT is, by definition, not a precise data type. 

For additional reading on FLOAT, see, for example:

 

Internal Investigation ID(s)

RECOB-8880

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