问题
I have a typical table where each row represents a customer - product holding. If a customer has multiple products, there will be multiple rows with the same customer Id. I'm trying to roll this up so that each customer is represented by a single row, with all product codes concatenated together in a single comma delimited string. The diagram below illustrates this
After googling this, I managed to get it to work using the XMLAGG function - but this only worked on a small sample of data, when scaled up Teradata complained about running out of 'spool space' - so I figure it's not very efficient.
Does anyone know how to efficiently achieve this?
回答1:
Newer versions of Teradata support NPath
, which can be used for this. You have to get used to the syntax, it's a Table Operator :-)
E.g. this returns the column list for each table in your system:
SELECT *
FROM
NPath(ON(SELECT databasename, tablename, columnname, columnid
FROM dbc.columnsV
) AS dt -- input data
PARTITION BY databasename, tablename -- group by columns
ORDER BY columnid -- order within list
USING
MODE (NonOverlapping) -- required syntax
Symbols (True AS F) -- every row
Pattern ('F*') -- is returned
RESULT(First (databasename OF F) AS DatabaseName, -- group by column
First (tablename OF F) AS TableName, -- group by column
Count (* OF F) AS Cnt,
Accumulate(Translate(columnname USING unicode_to_latin) OF ANY (F)) AS ListAgg
)
);
Should be waaaaaay better than XMLAgg.
来源:https://stackoverflow.com/questions/63683088/teradata-results-with-duplicate-values-converted-into-comma-delimited-strings