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SAM Operations: Producers, Consumers, and Farm Analysis Stations

Explore SAM use cases for producers, consumers, detectors, MC farms, and online farm analysis stations. Learn about databases, mass storage, and workflows for projects. Discover how to define datasets and run projects efficiently within the SAM framework.

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SAM Operations: Producers, Consumers, and Farm Analysis Stations

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  1. SAM Use Cases

  2. producers SAM consumers • detector • mc farms • online farm • analysis stations • databases • mass storage • disks • tape robots • mc farms • online farm • analysis stations

  3. Request 131 @ triviaal • Define dataset with dataset editor • Alternative: sam define dataset • Edit get_file.py • set variables • no documentation about this file? • sam run project get_file.py --interactive

  4. declare/store @ schuur • sam declare import.py • sam store –descrip=import.py \ source=`pwd` • store implies declare • import scripts prepared by mc_runjob

  5. mc_runjob macro physics Linker.py import.py batch.jdf gen.sh d0g.sh sim.sh reco.sh … for sam fbs

  6. cronjob for sam 1.2 TB fbs(rcp,sam) farm server SAM DB file server fbs job: 1 mcc 2 rcp 3 sam fbs(mcc) datastore mcc input FNAL SARA mcc output node 50 + control 40 GB data metadata

  7. SAM project • There are 3 states to a project.: • Project definition • Project snapshot • Project analysis

  8. Project creation • translate constraints • create definition • create dataset • verify • create analysis

  9. Run project in d0 framework • Run framework executable compiled and configured for SAM with • d0tools • or • sam submit • Use of sam start/stop project discouraged

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