CMS Big Data Science Project

Wednesday 5 Jul 2017, 16:00 → 17:30 Europe/Berlin

600/R-001 (CERN)

Matteo Cremonesi (Fermi National Accelerator Lab. (US)), Oliver Gutsche (Fermi National Accelerator Lab. (US))

FNAL room: Dark Side-WH6NW - Wilson Hall 2nd fl North East

CERN room: 600-R-001

Instructions to create a light-weight CERN account to join the meeting via Vidyo:

• https://account.cern.ch/account/Externals/

If not possible, people can join the meeting by the phone, call-in numbers are here:

• http://information-technology.web.cern.ch/services/fe/howto/users-join-vidyo-meeting-phone

The meeting id is hidden below the Videoconference Rooms link, but here it is again:

• 10502145

170705 - Big Data Meeting

• Marc Paterno: HDF5 and conversion: will be scheduled for a later date
• some issues from FNAL
  • 2 students working from FNAL
  • Sun Yong
    • he will start working till End of September, and then go to Padova for his PhD -> partnership with Padova
    • wants to setup his analysis workflow in Spark
  • started with another student, reproduce all the work for CHEP last year
    • different physics data format
    • need to convert to new physics data format
    • and also was using AVRO
    • task: convert completely to spark-root
    • some issues:
      • Scala programming questions, need another person (more experienced in Scala) to have a look at the code
  • problem with moving files from MIT to CERN-HDFS
    • needs intermediate step
    • about 50 TB total
    • only have 5 TB temporary space on EOS
    • staged copies
      • 10 steps
• news at CERN
  • Vagg started doing some performance tests on xrootd-connector
  • very easily can saturate network -> network is bottleneck
    • 1 Gbit easily saturdated
    • on 10 Gbit machines, testing root and parquet
    • lower transfer rates from CERNBox vs. public EOS
      • will contact EOS and ask about differences
• action items
  • Vagg and Matteo: 50 TB application metrics in 2 weeks
    • what open data to use, file lists, etc.
  • Matteo will send Panda example file
• New version of eos-connector on analytics
  • read parquet files and root files
  • performance improved through client-side buffering
    • parquet library was using parse-by-bite, so buffering helps a lot on the connector side
    • wrapped with standard hadoop buffering, to help with very small filesystem interactions
• Saba
  • working with summer student, looking at scala code
  • review extensive use of user-defined functions, spark cannot optimize them, try to find alternative
    • replace with simple select queries
    • very close to wrap this up
  • trouble to run the code on Corrie, solution available, use shifter images to use spark on Corrie, works now
  • ready for more performance testing on Corrie
  • Corrie: maximum used were 512 modes, each node is 24 cores
  • another possibility is to use open data

1 News

Speakers: Matteo Cremonesi (Fermi National Accelerator Lab. (US)), Oliver Gutsche (Fermi National Accelerator Lab. (US))

2 Discussion