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ChiHungLam / dsm2-grid-map

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A large regular time series is inefficient for retrieval and updates #18

Open GoogleCodeExporter opened 8 years ago

GoogleCodeExporter commented 8 years ago 
The data for an entire time series is represented in one blob. It would be 
more efficient to break the blobs based on expected series type. 

For example a series that is daily can store a decade worth of data (~3650) 
points and easily support store and retrieve operations efficiently. However 
a 100 years of the same or finer sampled data (say 15min) would be in 
efficient. 

The data should be chopped into blocks of blobs that can be stored and retrieve 
efficiently and that would scale over thousands of points.

Original issue reported on code.google.com by sandhuda...@gmail.com on 30 Dec 2009 at 12:55

GoogleCodeExporter commented 8 years ago 
changing ownership

Original comment by psan...@water.ca.gov on 8 Dec 2010 at 4:26

GoogleCodeExporter commented 8 years ago

Original comment by psan...@water.ca.gov on 12 Dec 2010 at 8:05

GoogleCodeExporter commented 8 years ago 
This needs to be stored as chunks of data stored as blobs for most efficient 
retrieval and display needs.

Original comment by psan...@water.ca.gov on 12 Dec 2010 at 8:25

GoogleCodeExporter commented 8 years ago 
Issue 17 has been merged into this issue.

Original comment by psan...@water.ca.gov on 12 Dec 2010 at 8:31

GoogleCodeExporter commented 8 years ago

Original comment by psan...@water.ca.gov on 21 Jan 2011 at 3:46