teradata

Is there any equivalent of Listagg function of oracle in teradata. With recursive is an option I have tried, but wanted something other than. Thanks Aritra If Teradata's XML-services are installed (default since 14.10?) there's a function named XMLAGG, e.g. SELECT DatabaseName, TABLENAME, TRIM(TRAILING ',' FROM (XMLAGG(TRIM(Columnname)|| ',' ORDER BY ColumnId) (VARCHAR(10000)))) FROM dbc.ColumnsV WHERE databasename = 'dbc' AND TABLENAME = 'ColumnsV' GROUP BY 1,2 来源： https://stackoverflow.com/questions/29510654/listagg-equivalent-in-teradata

Generally speaking, is there a performance difference between using a JOIN to select rows versus an EXISTS where clause? Searching various Q&A web sites suggests that a join is more efficient, but I recall learning a long time ago that EXISTS was better in Teradata. I do see other SO answers, like this and this , but my question is specific to Teradata. For example, consider these two queries, which return identical results: select svc.ltv_scr, count(*) as freq from MY_BASE_TABLE svc join MY_TARGET_TABLE x on x.srv_accs_id=svc.srv_accs_id group by 1 order by 1 -and- select svc.ltv_scr, count(*

I have a half dozen views in SQL Server that I need to replicate in Teradata, but I haven't been able to find the TD equivalent of the SQL metadata tables. I'd like to replicate the following functionality (which I assume is fairly self-explainatory): select table_name, column_id ordinal_position, column_name, data_type, char_length char_max_length, data_precision numeric_precision, data_scale numeric_scale from user_tab_columns select name as FUNCTION_NAME from sys.objects where type_desc='SQL_SCALAR_FUNCTION' select TABLE_NAME as VIEW_NAME from INFORMATION_SCHEMA.VIEWS I'd also like to know

I have this data and I want to sum the field USAGE_FLAG but reset when it drops to 0 or moves to a new ID keeping the dataset ordered by SU_ID and WEEK : SU_ID WEEK USAGE_FLAG 100 1 0 100 2 7 100 3 7 100 4 0 101 1 0 101 2 7 101 3 0 101 4 7 102 1 7 102 2 7 102 3 7 102 4 0 So I want to create this table: SU_ID WEEK USAGE_FLAG SUM 100 1 0 0 100 2 7 7 100 3 7 14 100 4 0 0 101 1 0 0 101 2 7 7 101 3 0 0 101 4 7 7 102 1 7 7 102 2 7 14 102 3 7 21 102 4 0 0 I have tried the MSUM() function using GROUP BY but it won't keep the order I want above. It groups the 7's and the week numbers together which I

I have something like this: ID Result 1 value1 2 value1 2 value2 3 value1 4 value1 4 value2 4 value3 And I'd like to return something like this: ID Result1 Result2 Result3 1 value1 2 value1 value2 3 value1 4 value1 value2 value3 I've searched on pivots and concats and breaks and I just can't find a simple, sensible solution. TIA Unfortunately Teradata doesn't have a PIVOT function but you can use an aggregate function with a CASE expression to get the result. select id, max(case when seq =1 then result end) result1, max(case when seq =2 then result end) result2, max(case when seq =3 then

I have installed python 2.7.0 and Teradata module on Windows 7. I am not able to connect and query TD from python. pip install Teradata Now I want to import teradata module in my source code and perform operations like - Firing queries to teradata and get result set. Check if connection is made to teradata. Please help me writing code for the same as I am new to Python and there is no information available with me to connect to teradata. There are a number of ways to connect to Teradata and export table to Pandas. Here are three: Using teradata module # You can install teradata via PIP: pip