Keywords: DataAccWG

Attendees:
   Russell Owen
   Ani Thakar
   Maria Nieto-Santisteban
   David Fleming
   Tim Axelrod
   Jacek Becla




database/catalog overheads
==========================

Current plan: x2.0 for overheads:
 - 150% for index, stats etc
 - 50% for db temp space
 - in practice will need 900 TB of disk space to manage
   300TB of data in db


- each release will contain "latest" version of objects, can't
  effort to keep all previous versions in each release
- Planning to keep 2 releases on disk (1 year worth of data)
   - driven by cost constraints
- will keep everything in deep storage
- it is essential to have reliable ways to access
  previous releases
- older releases might be available at other sites


What is the size growth between releases?
 - non-linear, larger at the beginning, will slow down
   towards the end of the survey
 - Tim will come up with some numbers / how to model the growth
   (by Monday)


Main difference between lsst and sdss: recalibration of all
data will happen much more frequently in lsst
 - based on sdss experience recalibration is very expensive,
   takes months to complete, chose to document errors rather
   then recalibrate often


Growth factor of pre-cached archive data at the Base Facility?
 - size will stay the same after initial ramp up: need only
   summary data of objects and most recent light curve, so it is
   fixed-length "sliding window"




Database software implementation for DC1
========================================

Catalog Ingest Service
 - Russell working on implementation in python, almost done
 - no major issues/show stoppers
 - what to do if files are failing on ingest?
    - log the failure, continue ingest, do not delete the files,
      files will be examined later
 - discuss offline partial ingest (Jacek/Russell)

 - would be good if we could have the data that will be
   used for ingest in DC1


Data Ingest Converter
 - original plan: in C++ for efficiency reasons
 --> do it in python for DC1, then will better understand
   number of rows to deal with, and performance needed
 - Russell/Jacek will talk offline about details


What data will be used for ingest?
 - DC1 will use real image data from DLS
  (David Wittman is working on it)
 - catalog data out of sextractor, pipeline will produce
   "some kind of catalog object"
 - Sergei schema should do fine for DC1
   --> locate the most current copy (Jacek)


Partitioning/slicing pre-cached data
 - Maria looking into this
 - questions:
    - area of sky covered by DC1?
    - density of objects?
    - size of data?
    - expected queries?

 - size: < 1TB
 - number of objects/field uniform for DLS data
 - non-continuous: part in northern sky, part in southern sky,
   complicated pattern
  --> look at DLS webpage

 - don't fine-tune partitioning for DLS data for DC1

 - expected queries
   - Tim will provide, maybe Kem might help



 - in real system will need a signal from OCS with
   coordinates of observed area sent few minutes before
   the observation
   - to load to memory related parts of archived data
   - will not have that signal in dc1




AOB
===

we have a reverse-engineered database schema used
by the PanSTARRS PS-MOPS
  - not relevant to DC1
  - just publish for now
  - check with Jeff where in Docushare to put it


Checksum files (see Alex's suggestion)
 --> raise this topic at DC1 or middleware telecon


Next meeting (Database telecon) this Wednesday

Jacek



Jacek Becla wrote:
Keywords: DataAccWG

Hi,

We will have a DataAccWG telecon tomorrow at 11:00 PST.

Phone number: 866 330 1200
passcode: 300 2363


Agenda:
 - database overheads
 - database-related DC1 activities
    - Ingest Service implementation
    - precached archive data partitioning
    - schema

Jacek
_______________________________________________
LSST-data mailing list
[email protected]
http://www.lsstmail.org/mailman/listinfo/lsst-data

_______________________________________________
LSST-data mailing list
[email protected]
http://www.lsstmail.org/mailman/listinfo/lsst-data

Reply via email to