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PAL EPICS Meeting Oct. 2012

Archive Systems What you always wanted to know but were afraid to ask: What’s available? Who’s doing what?. PAL EPICS Meeting Oct. 2012. 1. Performance?. How many samples/second write & read?. 2. How to get at the data?. Easy web reports?. CSS archive plugin?. 3. All the Rest?.

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PAL EPICS Meeting Oct. 2012

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  1. Archive SystemsWhat you always wanted to know but were afraid to ask:What’s available?Who’s doing what? PAL EPICS Meeting Oct. 2012

  2. 1. Performance? How many samples/second write & read?

  3. 2. How to get at the data? • Easy web reports? • CSS archive plugin?

  4. 3. All the Rest? • How to configure? • How to • start/stop sample engines? • Monitor if they’re • running? • connected to all channels? • write without errors? • Impact of disk failure, engine crash? • Limits when data grows? • How to spread data across disks, servers? • How to delete certain channels or time ranges? • Data backup? • Info: • Which channel has the most samples in last 24 hours? • Which subsystem generates the most samples?

  5. System • Language, Platform: Java, C++, ?? • Data Store • Advantage • Great Stuff • Disadvantage • Problem User, user, user

  6. Channel Archiver • C++ • Custom Data/Index Files • Fast: Write 60k, 70k samples/sec • Need library to read data • Trouble when engine crashed • File size limits • Maintenance nightmare SNS until 2009, KEK, J-PARC,SLAC, KSTAR, ..

  7. Channel Archiver, 64 bit .. As before, but • Extended file size limit • Even Bigger Trouble when engine crashed? • Even Bigger Data maintenance nightmare? Diamond

  8. RDB-Based Channel Archiver (BEAUTY) • Java (Eclipse, CSS) • RDB: MySQL, PostgreSQL, Oracle, … • Any data maintenance possible • No size limits; partitions, cluster, … • Any type of reporting on data • Anybody can reach data from any programming language • Engines don’t crash, and if they do: Just no new samples for that engine • Slow: 8000 samples/sec write • ~15k for special MySQL setup SNS since 2009, KEK, ITER?

  9. DESY MySQL Archiver • Java (started with BEAUTY code) • RDB: MySQL with special setup • Writing original sample plus a few averages • Faster writing because of some MySQL optimization • Faster retrieval of long time ranges • Most of the usual RDB benefits • Only MySQL DESY?

  10. Fermilab (not EPICS) • Java • MySQL ‘BLOBs’ used as ring buffer • Faster • Automatically replace oldest data, not running out of space • Need library to write and read, encode and decode content of BLOBs • None of the usual RDB advantages Fermilab

  11. MyA (Jlab) • C++? • Homebrew MySQL ‘cluster’ • Several MySQL Servers. One table per channel. • Faster • Most of the usual RDB benefits • Need library to read from correct MySQL server and table JLab

  12. Archive Appliance • Java • Google Protocol Buffers • Faster • “Appliance” Idea • Submit channel name. Rest Auto-configured. • Need library to access data? SLAC, BNL, IHEP, PSI, ITER?

  13. CERN • Language, Platform: Java, C++, ?? • Oracle • Fast because they tuned it well • not EPICS CERN

  14. SDDS • C • SDDS Files • Integrate4d w/ SDDS tools • Needs library to access • Data management APS, …

  15. Fast Acqu. Archive • C • Raw disk • Fast, for specific purpose • Need lib. • Data management Diamond

  16. SLC History Buffers • Fortran • Binary files • Worked for decades • Slow SLAC

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