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Transient Detection
and SQL
Gijs Molenaar
!

Anton Pannekoek Institute (UvA)
!

@gijzelaerr
gijs@pythonic.nl
LOFAR
•

Radio telescope

•

~10–240 MHz

•

Software telescope

•

omni-directional
AARTFAAC
•

Lofar sub project

•

24/7 full sky transient
detection

•

‘Changes’

•

99% Python code
Transients
•

Super-nova

•

Gamma-ray burst

•

Pulsars

•

exo-planets

•

?
Images
•

10-240 MHz

•

Split in 10 bands

•

1 image cube per second

•

future 10 images per second
Data
•

Source

•

Position

•

Flux (intensity)

•

Shape (2d gaussian)
Data rate

•

500 - 5000 inserts per second

•

Higher in other modes
Calculations

•

Associate in frequency

•

Associate in time
Quite a lot of data

•

move calculations to data (base)
nonosql
•

Structured data

•

Natural sharding by
sky position

•

MonetDB
Why MonetDB
•

Dutch (CWI)

•

Fast with huge
datasets

•

Developers next door
calculations to data

•

No moving around data

•

one huge big monolithic query per ‘operation’
Example
HORRIBLE
•

Huge monolithic queries

•

hard to read

•

hard to reason about

•

hard to test

•

hard to maintain

•

hard to port
Solution?

•

Functions?
NO!
•

DB revisions, versioning hell

•

For every code change new version

•

Schema migrations

•

Init functions on startup?

•

DB specific
SOLUTION
Why?
•

Object Relational Mapper

•

Better Query Builder Language!

•

Support multiple database dialect

•

Functions per dialect
!

•

SQLAlchemy -> SQL is like C -> assembler
example
Why not earlier?

•

Started by non programmers

•

No MonetDB dialect for SQLAlchemy
sqlalchemy-monetdb
•

pip install sqlalchemy-monetdb

•

https://github.com/gijzelaerr/sqlalchemy-monetdb

•

https://github.com/gijzelaerr/djonet

•

(banana)
Questions?

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Python User Group November 2013, SQL(alchemy) and transient detection