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PO
 

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  1. PO
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    <p>Since it's rather difficult to get this done in Sybase using a select statement I would suggest a <code>while</code> loop like the following. While loops are preferred over cursors for being much faster. Assuming that table name is MYTABLE:</p> <pre><code>CREATE TABLE #temp ( aa numeric(5,0) identity, id int not null, id_type int not null, id_ref int not null ) CREATE TABLE #results ( id int not null, concatenation varchar(1000) not null, ) insert into #temp select id, id_type, id_ref from MYTABLE order by id declare @aa int, @maxaa int, @idOld int, @idNew int declare @str1 varchar(1000), @str2 varchar(1000) set @aa = 1 set @maxaa = (select max(aa) from #temp) set @idNew = (select id from #temp where aa = 1) , @idOld = @idNew while @aa &lt;= @maxaa begin set @idNew = (select id from #temp where aa = @aa) IF @idNew = @idOld BEGIN set @str1 = @str1 + convert(varchar,(select id_type from #temp where aa = @aa)) + ',' , @str2 = @str2 + convert(varchar,(select id_ref from #temp where aa = @aa)) + ',' IF @aa = @maxaa insert into #results (id, concatenation) VALUES (@idOld, left(@str1,len(@str1) - 1) + ':' + left(@str2,len(@str2) - 1) ) END ELSE BEGIN insert into #results (id, concatenation) VALUES (@idOld, left(@str1,len(@str1) - 1) + ':' + left(@str2,len(@str2) - 1) ) set @str1 = NULL, @str2 = NULL set @str1 = @str1 + convert(varchar,(select id_type from #temp where aa = @aa)) + ',' , @str2 = @str2 + convert(varchar,(select id_ref from #temp where aa = @aa)) + ',' IF @aa = @maxaa insert into #results (id, concatenation) VALUES (@idNew, left(@str1,len(@str1) - 1) + ':' + left(@str2,len(@str2) - 1) ) END set @idOld = @idNew set @aa = @aa+1 end select * from #results </code></pre> <p><strong>EDIT</strong> The following version is about 45% faster </p> <pre><code>CREATE TABLE #temp ( aa numeric(5,0) identity, id int not null, id_type int not null, id_ref int not null ) CREATE TABLE #results ( id int not null, concatenation varchar(1000) not null, ) insert into #temp select id, id_type, id_ref from MYTABLE order by id declare @aa int, @maxaa int, @idOld int, @idNew int declare @str1 varchar(1000), @str2 varchar(1000), @j int set @aa = 1 set @maxaa = (select max(aa) from #temp) set @idNew = (select id from #temp where aa = 1) , @idOld = @idNew set @str1 = ':' while @aa &lt;= @maxaa begin set @idNew = (select id from #temp where aa = @aa) IF @idNew = @idOld BEGIN set @str2 = (select convert(varchar,id_type) + ':' + convert(varchar,id_ref) from #temp where aa = @aa) set @j = (select charindex(':',@str2)) set @str1 = str_replace(@str1, ':', substring(@str2,1,@j - 1) + ',:') + right(@str2,len(@str2) - @j) + ',' IF @aa = @maxaa insert into #results (id, concatenation) VALUES (@idOld, left(str_replace(@str1, ',:', ':'),len(@str1) - 2) ) END ELSE BEGIN insert into #results (id, concatenation) VALUES (@idOld, left(str_replace(@str1, ',:', ':'),len(@str1) - 2) ) set @str1 = ':' set @str2 = (select convert(varchar,id_type) + ':' + convert(varchar,id_ref) from #temp where aa = @aa) set @j = (select charindex(':',@str2)) set @str1 = str_replace(@str1, ':', substring(@str2,1,@j - 1) + ',:') + right(@str2,len(@str2) - @j) + ',' IF @aa = @maxaa insert into #results (id, concatenation) VALUES (@idNew, left(str_replace(@str1, ',:', ':'),len(@str1) - 2) ) END set @idOld = @idNew set @aa = @aa+1 end select * from #results </code></pre>
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    1. POHow can I "merge", "flatten" or "pivot" results from a query which returns multiple rows into a single result?
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    1. PTAnswer
    1. USGeorge Dontas
    1. USGeorge Dontas
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    1. POHow can I "merge", "flatten" or "pivot" results from a query which returns multiple rows into a single result?
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    1. COThis approach takes considerably longer than the cursor I am currently using with the real data
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      1. USdsm
    2. CO+1 for generating correct results. I'll leave the question open until I have finished evaluating all other answers
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    3. CO@dsm An obvious reason for the performance hit is the recreation of the initial table (as #temp). You can omit the step of table recreation if your real table has an identity column or another unique id, and therefore you can use that column as a counter instead.
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      1. USGeorge Dontas
 

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