What are the two types of caches associated with a joiner transformation?
Caches in JTR are 2. 1) Data Cache: It stores master source rows OS source table as configured in join condition. 2) Index Cache: It stores index values for master.
How can I improve my Joiner performance?
Use the following tips to improve session performance with the Joiner transformation:
- Designate the master source as the source with fewer duplicate key values.
- Designate the master source as the source with fewer rows.
- Perform joins in a database when possible.
- Join sorted data when possible.
How many pipelines can a joiner transformation join?
The joiner transformation is used to join two heterogeneous sources. The joiner transformation joins sources on the basis of a condition that matches one or more pairs of columns between the two sources. The two input pipelines include a master and a detail pipeline.
What are different types of joins in Joiner in Informatica?
The Joiner Transformation in Informatica is used to perform SQL Joins. There are four types of Joins in Informatica, and they Inner Join (Normal Join), Master Outer Join, Detail Outer Join and Full Outer Join.
Which is faster joiner or lookup?
Generaly, sorted joiner is more effective on flat files than lookup, because sorted joiner uses merge join and cashes less rows.
How can we improve throughput in Informatica?
- Check the view definition figure out the source tables.
- Check if the source tables are well partioned.
- Check if the index are properly defined on the tables.
- Check out if the table statistics are too old refresh the stats.
- Find the cost of the query used in the view.
What is cache memory in Informatica?
Solution: When a lookup is cached: Informatica queries the database, brings the whole set of rows to the Informatica server and stores in a cache file. When this lookup is called next time, Informatica uses the file cached. As a result, Informatica saves the time and the resources to hit the database again.
What are caches in Informatica?
What is Informatica cache file?
When you run a session, the Integration Service creates at least one cache file for each transformation. If the Integration Service cannot process a transformation in memory, it writes the overflow values to the cache files.
Can we use flat files in Joiner transformation?
Yes you can use joiners with flat files too.
What are limitations of Joiner transformation?
Limitations of Joiner Transformation We cannot use joiner transformation when the input pipeline contains an update strategy transformation. We cannot connect a sequence generator transformation directly to the joiner transformation.
What are the different types of cache in Informatica?
Types of Lookup Caches in Informatica
- Static cache: Static Cache is same as a Cached Lookup in which once a Cache is created and the Integration Service always queries the Cache instead of the Lookup Table.
- Dynamic cache:
- Shared cache:
- Persistent cache:
- Re-cache from database.
What are the limitations of the joiner transformation?
Limitations of Joiner Transformation
- We cannot use joiner transformation when the input pipeline contains an update strategy transformation.
- We cannot connect a sequence generator transformation directly to the joiner transformation.
Why do we need cache in Informatica?
How many types of cache are there in Informatica?
Types of Lookup Caches in Informatica
| Lookup Caches in Informatica | Static cache |
|---|---|
| Dynamic cache | |
| Shared cache | |
| Persistent cache |
What is joiner transformation in data integration?
The type of Joiner transformation determines the number of rows that the Data Integration Service stores in the cache. Stores all master rows in the join condition with unique index keys.
How many rows are stored in the data integration service cache?
If the master data contains multiple rows with the same key, the Data Integration Service stores more than 100 rows in the data cache. Stores all master or detail rows in the join condition with unique keys.
What is the difference between data cache and index cache?
If the index cache stores keys for the master pipeline, the data cache stores the data for master pipeline. If the index cache stores keys for the detail pipeline, the data cache stores data for detail pipeline.