Search found 21 matches
- 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
- 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
- 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...
- 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
- 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.
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.
- 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