What is loop condition in Datastage?
Table of Contents
What is loop condition in Datastage?
You can use loop variables when a loop condition is defined for the Transformer stage. When a loop is defined, the Transformer stage can output multiple rows for every row input to the stage. Loop variables are evaluated every time that the loop is iterated, and so can change their value for every output row.
How do I run a Datastage job in loop?
jobactivity—>Execute command—>User cariable—>Start loop—->execute command—>Main job——>End loop. 1st Job activity you will run the extract job and put in one file (Txt or csv). it will take automatically all values in the file. If you want you can put some notification also.
What is the use of Transformer in Datastage?
The Transformer stage is a processing stage. It appears under the processing category in the tool palette. Transformer stages allow you to create transformations to apply to your data. These transformations can be simple or complex and can be applied to individual columns in your data.
How do you concatenate columns in Datastage?
This can be achieved in different ways: – Create a stage variable, drag input column into the stage variable, use the concatenation operator : (colon) then drag the follow column, again concatenation operator and finally the remain column. – Drag the stage variable name into the output column.
How do you use nested condition stage in Datastage?
Use a Nested Condition stage to further branch the execution of a sequence job, depending on a condition. Each nested condition can have one input trigger and typically has multiple output triggers. For example, you could use a Nested Condition stage to implement the following control sequence.
How do I remove duplicates in DataStage?
This is where you specify details about the processed data that is being output from the stage.
- Remove Duplicates stage: fast path.
- Remove Duplicates stage: Stage tab (DataStage)
- Remove Duplicates stage: Input tab.
- Remove Duplicates stage: Output tab (DataStage)
What is reject link in DataStage?
Reject links output rows that have not been written on any other output links from the Transformer stage because they have failed or constraints or because a write failure has occurred. To define a constraint or specify an otherwise link, do one of the following: Select an output link and click the constraints button.
How do I convert multiple rows to single row in Datastage?
How to convert multiple rows into single row in datastage
- read data in seq file stage.
- in sort stage enable key column change as true.
- in Trnsfrm define stage var, logic -> if key change =1 thn dslinkcity else stage var:,:dslinkcity.
How do I run a shell script in Datastage?
Shell Scripting Example in Data Stage: Unzip Script
- The zipped file will land in the folder that is accessible to DS.
- Our Execute Command stage will read our script to unzip it.
- A Sequential stage will ingest the file.
- A DB2 Connector stage will load the contents into the target table.
How do I capture duplicate records in DataStage?
You can capture the duplicate records based on keys using Transformer stage variables.
- Sort and partition the input data of the transformer on the key(s) which defines the duplicate.
- Define two stage variables, let’s say StgVarPrevKeyCol(data type same as KeyCol) and StgVarCntr as Integer with default value 0.
What is lookup DataStage?
The Lookup stage is a processing stage that is used to perform lookup operations on a data set read into memory from any other Parallel job stage that can output data.
How do I combine records in Datastage?
Combine Records stage: fast path
- Go to the Stage page Properties Tab, under the Output category.
- Specify the output column to carry the vector of subrecords in the Subrecord Output Column.
- Under the Combine Keys category, specify the key column. Repeat the property to specify a composite key.
What is the difference between concatenation and replication operator?
The meaning of the word concatenation tells everything about the functionality. It links in a chain or series. In other words, the concatenation operator connects one string at the end of the other. The multiplication operator acts as a replication operator when we have one string and one integer as operands.
What is replication operator?
The replication operator is used to replicate a group of bits n times. The number in front of the brackets is known as the repetition multiplier. So for example, in {3{2’b01}} 3 is the repetition multiplier and 2’b01 is what will be replicated 3 times.
What is checksum in DataStage?
You can use the checksum value to check the validity of each row when it is written to the data target. If the checksum value does not equate to the columns from which it was generated, then the data is corrupt and is no longer valid.
How many ways we can remove duplicates in Datastage?
In sort stage, you can enable Key Change() column and it will be useful to filter the duplicate records. You can use Aggregator stage to remove duplicates. Here you need 2 more stages copy and join stages. Even we can capture the duplicate records using remove duplicate stage.