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Orchestration (Integration) components

tCollector Feeds the parallel execution processes with the threads generated by tPartitioner.
tDepartitioner Assembles the outputs of the parallel execution processes so that tRecollector can capture those outputs.
tFlowToIterate Reads data line by line from the input flow and stores the data entries in iterative global variables.
tForeach Creates a loop on a list for an iterate link.
tInfiniteLoop Executes a task or a Job automatically, based on a loop.
tIterateToFlow Transforms non processable data into a processable flow.
tLoop Executes a task or a Job automatically, based on a loop
tParallelize Manages complex Job systems. It executes several subJobs simultaneously and synchronizes the execution of a subJob with other subJobs within the main Job.
tPartitioner Partitions the input data before tCollector can transfer them to the parallel execution processes.
tPostjob Triggers a task required after the execution of a Job
tPrejob Triggers a task required for the execution of a Job
tRecollector Outputs of the parallel execution results, depending on tDepartitioner.
tReplicate Duplicates the incoming schema into two identical output flows.
tRunJob Manages complex Job systems which need to execute one Job after another.
tSleep Identifies possible bottlenecks using a time break in the Job for testing or tracking purpose.
tUnite Centralizes data from various and heterogeneous sources.
tWaitForFile Iterates on a directory and triggers the next component when the defined condition is met.
tWaitForSocket Triggers a Job based on a defined condition.
tWaitForSqlData Iterates on a given connection for insertion or deletion of rows and triggers a subJob when a condition linked to SQL data presence is met.

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