Hello all, I am today going to discuss and brief on some key best practices that i have followed or have come across in my experience with Informatica. Most of the best practices are specific to keep low the ambiguity and make it easy for every other developer around you to understand or share the work and few with intention to have a better performance without making things complex. Let’s quickly go through them,


Shortcuts (Shared Folder) – The uses of shared folder to use the sources/targets around multiple folders keeps your repository and objects less and clean. A shared folder allows you make the best use of re-usability in Informatica and maintains consistence and standard and keeps the code in tact with less number of duplicate objects being created.

Re-usability – It’s always good to take advantage of re-usability options on Informatica with the Mapplets, Worklets, reusable transformations, tasks etc. which highly reduces effort on design and keeps things simple.

Simplicity – This is the practice to keep your mapping/code as much as simple as you can, it can be good to have multiple mapping to do things rather than one to do something more complex. Mapping or your code should be easier to understand and debug in the future.

Source-Qualifier – It’s the place where you can tap your required data and filter out unnecessary column /rows that are no were relevant to our requirement. It’s always good to tap out the data at SQ rather than allowing them to be processed and being filtered at a later part of your mapping.

Filter Transformation – It’s the best you use your Filters as close as possible to the Source, to allow lesser data to travel across your mapping and thus improving the performance of your mapping with minimal data.

Most important of all, avoid complex expressions and logic on your filter condition, it’s always good you make them all in your Expression transformation and decide with a Flag port that travels on to the Filter and makes the Filter transformation far too simple and better.

Expression Transformation – It’s always good using more operators (||,+,/) rather than Functions where ever required, and also the processing and loading of Integer type data is always the faster compared to String type. Good to make use of local variables and keep the calculations as much as simple as possible with multiple variables being used to breakdown the complex calculations to less redundant and easy to understand one.

Joiners – If possible, join the data at the SQ, and in case of must to go for a JOINER transformation make sure you use the Source with less records used as the Master and the other source as the Detail which has more records to process.

Parameterize your code – Wherever possible it’s always the best thing to do is to parameterize your code, this helps in making the code easy for any future changes to be made with no change on the Informatica code. Avoid hard coding values, and parameterize them which can ease for any changes going forward.

SQL Query – Always the most important thing to check for is how good your SQ or any SQL related process will work on the DB side. Your source/target relational object on the DB side should be good enough to handle any UPDATE/INSERT/SELECT process more effectively. Go for the SQL execution plan, and accordingly add Indexes (Clustered/Non-Clustered) as and when required on THE DB table.

Router transformation – Always use a less complex conditional expression on the Groups of your Router, avoiding any calculation/function being performed row wise at your router eating away more time and memory in running your session. Instead do your conditional checks for grouping on the expression prior to loading to the Router and just keep it to a Flag which decides the Grouping on the Router making it perform at its best. Never use a Filter after a Router, which makes it logic less use, as the Router is to perform a Group, and hence the filters can be added alongside the logic of your Grouping (which again can be handles at an expression in getting the Flags to group by).

Lookups – Also try using unconnected lookups wherever we can as it gives space for re using the same Lookup multiple times and can use the same value to test/calculate in expression. Use Filter on your Lookup source to avoid Caching in unwanted data thus optimizing the Cache use improving the performance. Try using a Joiner instead of a connected lookup wherever possible.

In case you use a Unconnected lookup and wish to return multiple values to expression, then concatenate the columns and after returning the value go for splitting the values J

Union Transformation – The lesser the Union transformation, better is your mapping performance. Try avoid using Unions and if used keep the number to minimal by trying to Union the source on SQ itself as the Union consumes a lot of Memory and time in processing being an active transformation.

I will keep updating this Post further more with some more points on best practices in Informatica i might come across. Please do share if you have any and that can help people around here. Learning and Sharing is a joy 🙂

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