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Millennium
Database
Overview and some first usage
experiences
Gerard Lemson and the Virgo Consortium
astro-ph/0608019
2007-05-15
TIG session 3+Millennium database
The Virgo consortium’s
Millennium simulation
• Millennium simulation
–
–
–
–
–
–
10 billion particles, dark matter only
500 Mpc (~2Gly) periodic box
“concordance model” (as of 2004) initial conditions
64 snapshots
350000 CPU hours
O(30Tb) raw + post-processed data
• Postprocessing:
– dark matter density fields smoothed at various scales (45 * 2563
grid cells)
– dark matter cluster merger trees (~750 million)
– galaxy merger trees (~1 billion/catalogue)
• DeLucia & Blaizot, 2006
• Bower et al, 2006
2007-05-15
TIG session 3+Millennium database
Dark matter and galaxies
2007-05-15
TIG session 3+Millennium database
Halos and galaxies
2007-05-15
TIG session 3+Millennium database
Database design
2007-05-15
TIG session 3+Millennium database
Database design: “20 queries”
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
Return the galaxies residing in halos of mass between 10^13 and 10^14
solar masses.
Return the galaxy content at z=3 of the progenitors of a halo identified at
z=0
Return the complete halo merger tree for a halo identified at z=0
Find properties of all galaxies in haloes of mass 10**14 at redshift 1
which have had a major merger (mass-ratio < 4:1) since redshift 1.5.
Find all the z=3 progenitors of z=0 red ellipticals (i.e. B-V>0.8 B/T > 0.5)
Find the descendents at z=1 of all LBG's (i.e. galaxies with SFR>10
Msun/yr) at z=3
Find all z=3 galaxies which have NO z=0 descendent.
Return all the galaxies within a sphere of radius 3Mpc around a particular
halo
Find all the z=2 galaxies which were within 1Mpc of a LBG (i.e.
SFR>10Msun/yr) at some previous redshift.
Find the multiplicity function of halos depending on their environment
(overdensity of density field smoothed on certain scale)
Find the dependency of halo formation times on environment
2007-05-15
TIG session 3+Millennium database
Time evolution: merger trees
2007-05-15
TIG session 3+Millennium database
Merger trees :
select prog.
from galaxies des
,
galaxies prog
where des.galaxyId = 0
and prog.galaxyId
between des.galaxyId
and des.lastProgenitorId
Leaves :
select galaxyId as leaf
from galaxies des
where galaxyId
= lastProgenitorId
Branching points :
select descendantId
from galaxies des
where descendantId != -1
group by descendantId
having count(*) > 1
2007-05-15
TIG session 3+Millennium database
More database design features
• Spatial indices
– Peano-Hilbert index links to field (256^3)
– Z-curve index (bit interleaved, 256^3)
• SQLServer2005 CLR integration with C# for range queries
– Zone index (ix/iy/iz, 50^3)
select
from
where
and
*
galaxies
snapnum = 63
ix = 1 and iy = 5 and iz = 20
• Random sampling
select
from
where
and
2007-05-15
*
galaxies
snapnum = 63
random between 1000 and 2000
TIG session 3+Millennium database
the Millennium database web server
• Web application (Java in Apache tomcat web
server)
– portal: http://www.mpa-garching.mpg.de/millennium/
– public DB access: http://www.g-vo.org/Millennium
• 30sec/1000rows | 30sec/unlimited rows
– private access: http://www.g-vo.org/MyMillennium
• 30sec/1000rows | 420sec/unlimited rows
– MyDB, 1Gb, sometimes more
• Access methods
– browser with plotting capabilities through VOPlot applet
– wget + IDL, R
– TOPCAT plugin
2007-05-15
TIG session 3+Millennium database
2007-05-15
TIG session 3+Millennium database
2007-05-15
TIG session 3+Millennium database
2007-05-15
TIG session 3+Millennium database
Usage statistics
• Up since Aug 2006
• Community notified via preprint server
http://xxx.lanl.gov/abs/astro-ph/0608019
• Obtained form DB-base log with SQL
• > 130 registered users
• almost 1.7 million queries (not all correct)
• since March 3, >5 billion rows handled
2007-05-15
TIG session 3+Millennium database
2007-05-15
TIG session 3+Millennium database
Usage patterns
•
•
•
•
•
Start with milli-Millennium (1/512 of full)
Some download complete set
Mainly to test approach, SQL
Ask for account on full Millennium
Run into timeout
– either ask me
– cut query in pieces
– execute via script, using wget (good for hit rate count of site!)
• MyDB usage
– small projects collaborate via results,
– upload own data (when local at MPA, or via me)
2007-05-15
TIG session 3+Millennium database
Conclusions
• If you have valuable data (and “if you build it”), “they will come”
• PR helps
– astro-ph/
– presentations by owners (Simon White, Volker Springel, Carlos Frenk)
• Users are not stupid
– can and will learn SQL
– don’t mind learning SQL (especially when relatively young)
– come up with interesting solutions on their own
• Documentation important
– not optimal yet: indexes, internal relationships
• Help desk (i.e. me) helps and is much appreciated
• Possible/planned improvements
– full upload facility into MyDB
– mirror machine with CAS jobs
• longer timeouts
• batch querying
• collaboration easier
2007-05-15
TIG session 3+Millennium database
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