Multi-Processing Executor v23.0.1 2022-02-02¶
Multi-Processing Executor v23.0.0 2021-12-10¶
New Features¶
Several improvements in
pipetask
execution options: - New option--skip-existing-in
which takes collection names(s), if outputdatasets already exist in those collections corresponding quanta is skipped.
- A
--skip-existing
option is now equivalent to appending output run collection to the--skip-existing-in
list. - An
--extend-run
option implicitly enables--skip-existing
option. - A
--prune-replaced=unstore
option only removes regular output datasets; InitOutputs, task configs, and package versions are not removed. (DM-27492)
- A
GraphViz dot files generated by pipetask now include more information (
RUN
collection for datasets, dimensions for tasks, data IDs for quanta). (DM-28111)pipetask qgraph
can now generate a standalone “execution butler” which is a SQLite registry with all the expected outputs pre-filled in registry. Using this registry allowpipetask run
to execute without touching the main registry whilst still writing file artifacts to the standard location. It is not yet configured to allow a completely detached processing using a local datastore but this can be changed manually after creation to use a chained datastore. (DM-28649)- Log messages issued during quantum execution are now collected and stored in butler as
tasklabel_log
dataset types. - New command line options for logging have been added to
pipetask
. These include--log-file
to write log messages to a file and--no-log-tty
to disable log output to the terminal. (DM-30977)
- Log messages issued during quantum execution are now collected and stored in butler as
- Add the output run to the log record.
- Add
--log-label
option topipetask
command to allow extra information to be injected into the log record. (DM-31884)
Bug Fixes¶
Multi-Processing Executor v22.0 2021-04-01¶
New Features¶
pipetask run
can now execute a subset of a graph. This allows a single graph file to be created with an entire workflow and then only part of it to be executed. This is very important for large scale workflow execution. [DM-27667]
Performance Enhancement¶
- Multi-processing execution performance has been significantly improved for large graphs. [DM-28418]
Other¶
- Ignore
--input
instead of rejecting it if it hasn’t changed. [DM-28101] - The graph file format has been changed from a pickle file to a form that can efficiently be accessed from an object store. This new format has a
.qgraph
file extension. [DM-27784] - A full URI can now be used to specify the location of the quantum graph. [DM-27682]