What are the performance tuning techniques in Informatica?
Complete the following tasks to improve session performance:
- Optimize the target.
- Optimize the source.
- Optimize the mapping.
- Optimize the transformation.
- Optimize the session.
- Optimize the grid deployments.
- Optimize the PowerCenter components.
- Optimize the system.
How Performance tuning is done?
Systematic tuning follows these steps: Assess the problem and establish numeric values that categorize acceptable behavior. Measure the performance of the system before modification. Identify the part of the system that is critical for improving the performance.
Which is better joiner or lookup in Informatica?
In case of Flat file, generally, sorted joiner is more effective than lookup, because sorted joiner uses join conditions and caches less rows. In case of database, lookup can be effective if the database can return sorted data fast and the amount of data is small, because lookup can create whole cache in memory.
How can mapping performance be improved?
To maximize session performance, keep the Filter transformation as close as possible to the sources in the mapping. Rather than passing rows that you plan to discard through the mapping, you can filter out unwanted data early in the flow of data from sources to targets.
What is pushdown optimization in Informatica?
When the Data Integration Service applies pushdown optimization, it pushes transformation logic to the source database. Pushdown optimization increases mapping performance when the source database can process transformation logic faster than the Data Integration Service. …
How do you identify the bottlenecks in mappings?
To identify mapping bottlenecks, complete the following tasks:
- Read the thread statistics and work time statistics in the session log.
- Analyze performance counters.
- Add a Filter transformation before each target definition.
Why do we need tuning?
HKS considers “Tuning” as improvement of vehicle overall performance in response to user needs. Replacing just one part can increase the stress and damage other parts and so it is essential to maintain the correct balance when tuning to increase performance safely.
Which is faster join or lookup?
What is the goal of performance tuning in Informatica?
The goal of performance tuning is to optimize Informatica cloud task performance by eliminating performance bottlenecks. To tune task performance, first identify a performance bottleneck, eliminate it, and then identify the next performance bottleneck until you are satisfied with the performance.
How to tune the performance of a task?
To tune task performance, first identify a performance bottleneck, eliminate it, and then identify the next performance bottleneck until you are satisfied with the performance. Because determining the best way to improve performance can be complex, a scientific approach is required by changing one variable at a time.
How to increase throughput in Informatica with filter transformation?
Delete unnecessary columns from the lookup table and keep only the required columns. This will bring down the overhead of fetching the extra columns from the database. Use filter transformation as early as possible inside the mapping. If the unwanted data can be discarded early in the mapping, it would increase the throughput.’
Why do I need to increase commit interval in Informatica?
Increase the commit interval. By doing so, the number of times, Integration Service commits data decreases and hence performance is gained. However, if the commit interval is too high, the Integration Service will fill the database log file and cause the session to fail.