Friday, 12 December 2014

Informatica PowerCenter Session Partitioning-Type of Informatica Partitions


Informatica provides you the option of enhancing the performance of the Informatica session by the The PowerCenter® Partitioning Option. After tuning all the performance bottlenecks we can further improve the performance by addition partitions.




We can either go for Dynamic partitioning (number of partition passed as parameter) or Non-dynamic partition (number of partition are fixed while coding). Apart from used for optimizing the session, Informatica partition become useful in situations where we need to load huge volume of data or when we are using Informatica source which already has partitions defined, and using those partitions will allow to improve the session performance.
The partition attributes include setting the partition point, the number of partitions, and the partition types.

Partition Point:
There can be one or more pipelines inside a mapping. Adding a partition point will divide this pipeline into many pipeline stages. Informatica will create one partition by default for every pipeline stage. As we increase the partition points it increases the number of threads. Informatica has mainly three types of threads –Reader, Writer and Transformation Thread.

The number of partitions can be set at any partition point. We can define up to 64 partitions at any partition point in a pipeline. When you increase the number of partitions, you increase the number of processing threads, which can improve session performance. However, if you create a large number of partitions or partition points in a session that processes large amounts of data, you can overload the system.



You cannot create partition points for the following transformations:
• Source definition
• Sequence Generator
XMLParser
• XML target
• Unconnected transformations

The partition type controls how the Integration Service distributes data among partitions at partition points. The Integration Service creates a default partition type at each partition point. 

Type of partitions are :
1. Database partitioning,
2. Hash auto-keys
3. Hash user keys
4. Key range
5. Pass-through
6. Round-robin.

Database Partitioning
For Source Database Partitioning, Informatica will check the database system for the partition information if any and fetches data from corresponding node in the database into the session partitions. When you use Target database partitioning, the Integration Service loads data into corresponding database partition nodes.
Use database partitioning for Oracle and IBM DB2 sources and IBM DB2 targets. 

Pass through
Using Pass through partition will not affect the distribution of data across partitions instead it will run in single pipeline.which is by default for all your sessions. The Integration Service processes data without redistributing rows among partitions. Hence all rows in a single partition stay in the partition after crossing a pass-through partition point.



Key range
Used when we want to partition the data based on upper and lower limit. The Integration Service will distribute the rows of data based on a port or set of ports that we define as the partition key. For each port, we define a range of values.Based on the range that we define the rows are send to different partitions



Round robin partition is used to when we want to distributes rows of data evenly to all partitions

Hash auto-keys: The Integration Service uses a hash function to group rows of data among partitions. The Integration Service groups the data based on a partition key.

Hash user keys: The Integration Service uses a hash function to group rows of data among partitions. We define the number of ports to generate the partition key.

Saturday, 22 November 2014

Inline Prompts in OBIEE 11g


A prompt that is created at the OBIEE analysis level is called an inline prompt. This is referred as inline prompt because the prompt is embedded in the analysis and is not stored in the Oracle BI Presentation Catalog. That means the prompt is created for that particular analysis and therefore cannot be added to other analyses.
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