Test of the Use Case Table (draft)

EventIndexUseCasesNewFormat First level table


This page contains a list of EventIndex use cases and the current coverage and performance.

Use Cases

Event metadata services are available to users via distinct applications based on two forms of storage of EventIndex data:

  1. Oracle : The interfaces of the Oracle-based Event Index are web based via the GUI: EIOBrowser. Its utilities are listed in the table below. You can find additional documentation in the EventIndexOracle TWiki page.
  2. Hadoop : Functionality of the (Hadoop-based) Event Index system is available as Command-Line ( Catalog for information about available datasets, Event Index for rich searching and processing in datasets, Event Lookup for fast searching of events) and Graphical Web Service. Most of the available functions is not referenced from this page, but is directly available from the command line and Web Service GUI.

First raw this is a test insde a table using twisty remark
Second raw second column in second raw comment
| Event lookup | Hadoop Data Store | In production. Report faults through Jira |
Event retrieval Through PanDA.
Event lookup and retrieval All in one step.
Dataset Browsing Finding datasets of interest Oracle-based services ServiceButtons:
- EventLookup,
- DatasetReport,
- OverlapReport,
- DuplicateReport,
- CountByBCID,
- CountByLB,
- MissingEventReport
Report Dataset Report Oracle-based services Status includes summary of event counts (event loss from RAW, duplicate events status, etc.)
Example Link: Run:302872
Duplicate Event Report ] Oracle-based services Example Link: Run:259424 Stream:IDCosmic AMITag:f567_m1407
Count Events by BCID Oracle-based services Example Link: Run:276262 Stream:express AMITag:r7562_p2634
Count Events by LB Oracle-based services Example Link: Run:276262 Stream:express AMITag:r7562_p2634
Missing Events Report Oracle-based services Example Link: Run:276262 Stream:express AMITag:r7562_p2634
Production Completeness and Consistency Checks Data availability Data Production  
Data consistency within file Data Collection  
Data consistency within TID dataset Data Collection  
Data consistency within physics (container) dataset Data Collection  
Duplicate event detection (for real data) Query services  
Trigger counting and consistency checks Trigger Counts Query Services  
Trigger Overlaps Query Services  
Derivation Dataset Overlaps Overlap counting Query Services The report also available via the GUI: EIOBrowser

Major updates:
-- DarioBarberis - 2016-05-22
-- ElizabethGallas - 2016-07-10 (added EventIndexOracle sections)

%REVIEW% Never reviewed

-- Main.salt - 21 Oct 2016

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Topic revision: r17 - 2017-05-12 - JoseSalt1
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