Search found 21 matches

by nima511
Wed May 05, 2010 2:03 pm
Forum: IBM<sup>®</sup> DataStage Enterprise Edition (Formerly Parallel Extender/PX)
Topic: String to TimeStamp Conversion
Replies: 8
Views: 4315

I am still getting the same output.
by nima511
Wed May 05, 2010 1:52 pm
Forum: IBM<sup>®</sup> DataStage Enterprise Edition (Formerly Parallel Extender/PX)
Topic: String to TimeStamp Conversion
Replies: 8
Views: 4315

Anbu, Do you mean
If Len(Trim(DSLink35.date_opened) = 0) Then ''" Else StringToTimestamp(DSLink35.DT_OPENED,"%yyyy-%mm-%dd %hh:%nn:%ss")
by nima511
Wed May 05, 2010 1:10 pm
Forum: IBM<sup>®</sup> DataStage Enterprise Edition (Formerly Parallel Extender/PX)
Topic: String to TimeStamp Conversion
Replies: 8
Views: 4315

String to TimeStamp Conversion

I have an input field as below date_opened 2010-01-05 13:14:16.130 I am reading it as a Varchar and I have also tried Varchar(26). In my transformer I use : StringToTimestamp(DSLink35.date_opened,"%yyyy-%mm-%dd %hh:%nn:%ss") My output is a sequential file and the column is defined as a tim...
by nima511
Mon Apr 26, 2010 3:17 pm
Forum: IBM<sup>®</sup> DataStage Enterprise Edition (Formerly Parallel Extender/PX)
Topic: Dynamic Processing
Replies: 6
Views: 2326

It could grow to more than 100 over the next few releases.
by nima511
Mon Apr 26, 2010 1:56 pm
Forum: IBM<sup>®</sup> DataStage Enterprise Edition (Formerly Parallel Extender/PX)
Topic: Dynamic Processing
Replies: 6
Views: 2326

Dynamic Processing

Hello,

I have a situation wherein I need to read 20 different source tables and load them into 20 different target tables all with varying metadata.
Both my source and target are SQL Server Databases.
How can I minimize the number of jobs and accomplish this task.
by nima511
Thu Oct 08, 2009 8:04 am
Forum: IBM<sup>®</sup> DataStage Enterprise Edition (Formerly Parallel Extender/PX)
Topic: Combining 2 records
Replies: 4
Views: 2034

I know that join can be used to combine data from two different sources but what about these 2 records which come from the same table?