ddbs

## Comparing execution times between OpenCPU (RApache) and FastRWeb (Rserve and HTTP).
## Same requests and same code. Note that FastRWeb is up to 13 times faster on the 2nd call.

# OpenCPU: summarize 2 layers across districts for the whole of SSA, return json of summary table
# and then json of all pixel values for mapping
$ time curl http://127.0.0.1/ocpu/library/hcapi3/R/getLayer/json \
-d '{"var" : ["whea_h", "AEZ16_CLAS"], "by" : "ADM2_NAME_ALT"}' -X POST -H "Content-Type:application/json"

[...]
    {

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Requirements

• no upfront installation/agents on remote/slave machines - ssh should be enough
• application components should use third-party software, e.g. HDFS, Spark's cluster, deployed separately
• configuration templating
• environment requires/asserts, i.e. we need a JVM in a given version before doing deployment
• deployment process run from Jenkins

Solution

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# Create a function programmatically by creating its constituents: 
# an argument list, a function body of expressions, and an enclosing environment

args <- alist(x=,y=)
exps <- expression(z <- x^2 + y^2, z <- sqrt(z), return(z))
body <- as.call(c(as.name("{"), exps))
f <- as.function(x = c(args,body), envir = parent.frame())
f(x=1,y=1)

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