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Luigi does not provide a pre-defined strategy for exception handling which have to be implemented individually
by the user, if possible. However, Luigi offers a mechanism for so called 'idempotent' tasks which are only run
once, given a specific set of parameters. Hereby, Luigi skipps skips complete tasks while running a pipeline
the second time after encounting encountering an unresolvable dependency (i.e. a predecessor task which failed while execution).

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IDProcessException Handling
1None.

None.
All tasks have to be re-run manually.
No traceability.

2

Tasks are stored within a database and updated whenever a task terminates.

  1. Register new pipeline tasks within Luigi’s database:
    1. tag database entries as ‘open’
  2. For each task in pipeline tasks
    1. Run task
    2. If tasks task terminates successfully:
      1. tag database entry as ‘successful’
    3. Else:
      1. tag database entry as ‘failed’

While start up Luigi, check and re-run open pipeline tasks.

A successful task (with a docker container as target) can be defined in different ways:

  • Given , a result file with a specified format (Drawback: additional effort for data handling, error-prone due file formatting).
  • Exit code of the docker container is equal to 0 (= successful).

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Exception handling through algorithm containers (e.g. invalid parameters, unreachable database, ...)

Approaches:

IDProcessException Handling
1None.

None.
Risk of data inconsistency.

2

An algorithm continuously saves results which are deleted if an exception is
thrown.

  1. Run algorithm
  2. If any exception is thrown:
    1. Clean up results
    2. Terminate with an error
    Else:
    1. Terminate without an error

While encountering an exception, clean up inconsistent
results and terminate with an error.
Each algorithm is responsible for saving consistent results.

3

An algorithm persistently saves all or none results.

  1. Run algorithm
  2. If any exception is thrown:
    1. Terminate with an error
  3. Else:
    1. Save results
    2. Terminate without an error

Results are only saved if no exception was throws.
Each algorithm is responsible for saving consistent results.

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Approaches (2) and (3) may result in inconsistent results if an algorithm saves result fragments and terminates immediately during a
superior exception (e.g. power failure). Therefore, each algorithm is responsible for saving (only) consistent results.

Note 2:

We do not provide any rollback meachanismmechanism. Inadequate results are not detected nor cleaned up by Luigi. Therefore, consistent results
are crucial. (Advantages: Reduce complexity of workflow engine and hereby the error rate due rollbacks).

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Idempotent Algorithm

Description:

Avoiding to run Avoid running an algorithm twice, which results are already available.

Approaches:

Using Luigi's mechanism of idempotent algorithms (see preliminary).

IDProcess
1Using Luigi's mechanism of idempotent algorithms (see preliminary).
2Each algorithm is responsible for fulfilling the idempotent property by itself. Luigi's mechanism is omitted.
Drawback: More complexer complex algorithms, error-prone due wrong implementations.

Given the mechanism of idempotent tasks and the fact as we can verify an algorithm's exit code, Luigi could simply infer if an algorithm has to be
run or was already completed. A problem appears after restarting Luigi which discards all containers and there exit codes.
A recommended solution is to save all container's exit codes and standard streams (stdout/strerrstderr) within Luigi's database. The solution supports
traceability for historical batch processes and provides Luigi a way to identify complete tasks.

 

 

The approach, not to re-run algorithms with a valid result file, is inadequate as the container may be deleted but its results are already present within a database (e.g. property database).