Error When Training Mining Model. Column Name Seems Can't Be Recognized

Dear All, I have a simple mining structure created by the DMX statement below. Then I tried to insert some data with MDX language by extracting data in OLAP. But I got the following error when I execute the insert statement.



Errors in the high-level relational engine. The 'Customer ID' column in the RELATES clause was not found in the results of the OPENROWSET query.


It seems that the append statement can't really recognize the name of the column which should be Customer ID.



How can I fix this problem?



Thanks

Tony Chun Tung Siu



The source code for create and insert is as below.



create mining model customerMiner
(
customerID long key ,
age long continuous,
orders table
(
orderID long key,
goodsID long discrete predict_only
)
)using [Microsoft_decision_trees] with drillthrough;

insert into mining model customerMiner
(
customerID,
age,
orders
(
skip,
orderID,
goodsID
)
)
shape
{
openQuery([Simple SSAS],
'
select {[Measures].[Customer ID], [Measures].[Age]} on columns,
{[Customer].[Customer].[Customer].members} on rows
from fi
')
}
append
(
{
openQuery([Simple SSAS],
'
select {[Measures].[Customer ID],[Measures].[Order ID2],[Measures].[Goods ID]} on columns,
[Goods].[Order ID2].[Order ID2].members on rows
from fi
')
}
relate [Customer ID] to [Customer ID]
)as orders