Reputation: 3448
I'm getting the following error from Redshift.
Decimal: Integral number too large
This is happening when inserting the following csv line
2015-03-20,A_M300X250CONTENT_INT_ADSENSE,3443,3443,1.4,13,,
The error is being thrown by 1.4
.
The definition of that column is this:
schemaName | tablename | column | type | encoding | disktkey | sortkey | notnull
-----------|-----------|-----------------|--------------|----------|----------|---------|---------
public | partners | revenue_partner | numeric(7,7) | none | false | 0 | false
This copy worked fine when the type was numeric(7,2)
, but I need to change it to fix a rounding error.
Upvotes: 2
Views: 1951
Reputation: 2178
Reading the docs http://docs.aws.amazon.com/redshift/latest/dg/r_Numeric_types201.html
It looks like a numeric(7,7)
data type can only store values between 0-1 with 7 significant figures. The second number is the number of values you can have after the decimal and the first number - the second number will be the number of values you can have before the decimal.
Upvotes: 2
Reputation: 14045
numeric(7,7)
means the total number of digits allowed is 7 and all 7 are allocated as decimals. If you want 7 decimals and 7 digits you need numeric(14,7)
Upvotes: 3