Table of Contents
- 1 How do you implement performance tuning in the Informatica mapping tasks?
- 2 How does Informatica improve target performance?
- 3 Which is better joiner or lookup in Informatica?
- 4 How does Informatica improve lookup performance?
- 5 How do you identify the bottlenecks in mapping?
- 6 What are the types of performance tuning?
- 7 What is query performance tuning?
- 8 What is performance chip tuning?
How do you implement performance tuning in the Informatica mapping tasks?
Always prefer to perform joins in the database if possible, as database joins are faster than joins created in Informatica joiner transformation. Sort the data before joining if possible, as it decreases the disk I/O performed during joining. Make the table with less no of rows as master table.
How does Informatica improve target performance?
Moving the target database into the server system may improve session performance. Staging areas: If we use staging areas, then force the Informatica server to perform multiple data passes. Removing of staging areas can improve the session performance. Use the staging area only when it is mandatory.
What is performance bottleneck in Informatica?
Bottleneck is the reason by which the performance of the Informatica ETL process gets slower. There are different types of Bottlenecks in Informatica. It can happen either while writing to the target or while reading from source and many more.
How do you achieve performance tuning?
Prioritized Tuning Steps
- Step 1: Tune the Business Rules.
- Step 2: Tune the Data Design.
- Step 3: Tune the Application Design.
- Step 4: Tune the Logical Structure of the Database.
- Step 5: Tune Database Operations.
- Step 6: Tune the Access Paths.
- Step 7: Tune Memory Allocation.
- Step 8: Tune I/O and Physical Structure.
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 does Informatica improve lookup performance?
To improve performance, create a filter condition to reduce the number of lookup rows retrieved from the source when the lookup cache is built. Index the lookup table. The Data Integration Service needs to query, sort, and compare values in the lookup condition columns.
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.
How do you increase bottleneck source in Informatica?
Source Bottlenecks
- Add a Filter transformation to the mapping. Add the Filter transofrmation after the source.
- Create a read test mapping. Make a copy of the mapping but remove all the transformations, joins, or queries.
- Run the read query directly against the source database. Copy the read query from the mapping log.
How do you identify the bottlenecks in mapping?
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.
What are the types of performance tuning?
There are two distinct types of tuning:
- Proactive Monitoring.
- Bottleneck Elimination.
What is left outer join in Informatica?
You can create a left outer join with a join override. You can enter multiple left outer joins in a single join override. When using left outer joins with other joins, list all left outer joins together, after any normal joins in the statement.
How to improve performance in Informatica?
Reduce the number of transformations. There is always overhead involved in moving data between transformations.
What is query performance tuning?
Query performance tuning is key to ensuring that SQL Server database applications are running within acceptable performance metrics.
What is performance chip tuning?
Chip tuning refers to changing or modifying an erasable programmable read only memory chip in an automobile’s or other vehicle’s electronic control unit (ECU) to achieve superior performance, whether it be more power, cleaner emissions, or better fuel efficiency.