What are the performance considerations when working with aggregator transformation?

What are the performance considerations when working with aggregator transformation?

Aggregator performance improves dramatically if records are sorted before passing to the aggregator and “Sorted Input” option under aggregator properties is checked. The record set should be sorted on those columns that are used in Group By operation.

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 can we improve the performance of SQL transformation in Informatica?

  1. Partitioned Mapping Optimization Overview.
  2. Use Multiple CPUs.
  3. Increase the Maximum Parallelism Value.
  4. Optimize Flat Files for Partitioning. Optimize Flat File Sources for Partitioning.
  5. Optimize Relational Databases for Partitioning. Optimize the Source Database for Partitioning.
  6. Optimize Transformations for Partitioning.

What does aggregator transformation do?

Use the Aggregator transformation to perform aggregate calculations, such as averages and sums, on groups of data. task performs aggregate calculations, the task stores data in groups in an aggregate cache. To use the Aggregator transformation, you need the appropriate license.

How will you improve performance of lookup transform?

If you use a Lookup transformation, perform the following tasks to increase performance:

  1. Use the optimal database driver.
  2. Cache lookup tables.
  3. Optimize the lookup condition.
  4. Filter lookup rows.
  5. Index the lookup table.
  6. Optimize multiple lookups.

Which one is better performance wise joiner or lookup in Informatica?

Generaly, sorted joiner is more effective on flat files than lookup, because sorted joiner uses merge join and cashes less rows. Lookup cashes always whole file. If the file is not sorted, it can be comparable.

How do you identify performance bottlenecks in Informatica?

Use the following methods to identify performance bottlenecks:

  1. Run test sessions. You can configure a test session to read from a flat file source or to write to a flat file target to identify source and target bottlenecks.
  2. Analyze performance details.
  3. Analyze thread statistics.
  4. Monitor system performance.

How increase DTM buffer size in Informatica?

To increase the DTM buffer size, open the session properties and click the Properties tab. Edit the DTM Buffer Size property in the Performance settings. Increase the DTM Buffer Size property by multiples of the buffer block size.

How do you increase target throughput in Informatica?

  1. Check the view definition figure out the source tables.
  2. Check if the source tables are well partioned.
  3. Check if the index are properly defined on the tables.
  4. Check out if the table statistics are too old refresh the stats.
  5. Find the cost of the query used in the view.

Why aggregator is used in Informatica?

Informatica Aggregator Transformation is an active and connected type Transformation which allows user to perform calculations like COUNTS, AVERAGES, SUMS etc on group of data. When performing aggregate expression, we use conditional clauses, aggregate functions, non-Aggregate functions to filter rows.

How do you handle performance issues in Informatica?

Complete the following tasks to improve session performance:

  1. Optimize the target.
  2. Optimize the source.
  3. Optimize the mapping.
  4. Optimize the transformation.
  5. Optimize the session.
  6. Optimize the grid deployments.
  7. Optimize the PowerCenter components.
  8. Optimize the system.

Which is better performance wise joiner or lookup?

Which is faster join or lookup?

How can I improve my Joiner performance?

Use the following tips to improve session performance with the Joiner transformation:

  1. Designate the master source as the source with fewer duplicate key values.
  2. Designate the master source as the source with fewer rows.
  3. Perform joins in a database when possible.
  4. Join sorted data when possible.

What is the maximum DTM buffer size in Informatica?

By Informatica corp you can have upto 2GB (in version 7) as DTM limit which in itself is very large.

What is DTM buffer size?

The DTM Buffer Size setting specifies the amount of memory that the Integration Service uses as DTM buffer memory. When you increase the DTM buffer memory, the Integration Service creates more buffer blocks, which improves performance during momentary slowdowns.

How do you handle bottlenecks in Informatica?

How do you resolve a target bottleneck in Informatica?

Can we use joiner after aggregator?

To use joiner, you have to create dummy join ports first. After the aggregator, use an expression transformation to create a dummy output column with a hardcoded value “1”. You have to create two such expressions for A and B. Now connect them to a Joiner.

How can we delete duplicate records using aggregator?

Aggregator Transformation – To remove the duplicate records just Group By the port JOB_ID which will group all unique records together and pass it to target. Enable Sorted Input to improve the performance of Aggregator Transformation.

What is DTM buffer pool size in Informatica?

DTM Buffer Size. The DTM buffer size specifies the amount of buffer memory that the Integration Service uses when the DTM processes a session. Configure the DTM buffer size on the Properties tab in the session properties. Default Buffer Block Size.

Which is better in terms of performance Informatica Joiner transformation vs lookup?

In terms of performance Joiner is better than LKP. In Joiner you can decide which table to cache you don’t have that option in LKP. Secondly if you use sorted input in joiner it doesn’t caches the whole master table at one go. Performance is much faster.

Which one is faster lookup or joiner in Informatica?

Generaly, sorted joiner is more effective on flat files than lookup, because sorted joiner uses merge join and cashes less rows. Lookup cashes always whole file.

What is meant by 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 is DTM buffer size calculated?

DTM Buffer Block Size = 2*X, where X is the row size in KB (It can be set approximately based on the data which you have in the source). DTM Buffer Size = (DTM Buffer Block Size) * 10* N, where N is the number of partitions.

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