What are different ways of parallel processing?
As the name suggests, parallel processing involves processing data in parallel, which increases performance. In Informatica, parallel processing can be implemented by using a number of methods. According to the situation and the preference of the user, the method is selected. The following types of partition algorithms can be used to implement parallel processing:
Database Partitioning: This partitioning technique involves querying the database for table partition information and reading partitioned data from corresponding nodes in the database.
Round-Robin Partitioning: With this service, data is evenly distributed across all partitions. It also facilitates a correct grouping of data.
Hash Auto-keys partitioning: The power center server uses the hash auto keys partition to group data rows across partitions. The Integration Service uses these grouped ports as a compound partition.
Hash User-Keys Partitioning: In this type of partitioning, rows of data are grouped according to a user-defined or a user-friendly partition key. Ports can be selected individually that define the key correctly.
Key Range Partitioning: By using key range partitioning, we can use one or more ports to create compound partition keys specific to a particular source. The Integration Service passes data based on the mentioned and specified range for each partition.
Pass-through Partitioning: In this portioning, all rows are passed without being redistributed from one partition point to another by the Integration service.
