public static Object myMethod () {
...
Object obj = null;
if () { obj = new String [size] ; }
else { obj = new double [size]; }
...
System.out.println("in java");
return obj;
}
This Java function returns String[] or Double[].
This is how I call the function from my R code.
data <- .Java(myClass, "myMethod")
print("out of java")
When the function returns Double[] the conversion between Java and R
happens quickly. I am measuring the convertion time by how long it
takes between printing "in java" and "out of java". When teh
returned
is String[] the conversion takes too long and in some cases where size
is large (150,000 for Strings of 10 chars each) the JVM runs out of
memory. Can I solve this by implementing my own converter? is there an
obvious reason why the default conversion for String[] is too slow and
runs out of memory?
These are my current converters:> getJavaConverterDescriptions()
$fromJava
[1] "From Java java.util.Vector to R list/vector"
[2] "org.omegahat.Environment.Utils.OrderedTable from Java"
[3] "From Java 1-D array to R list/vector"
[4] "Converts any Java InterfaceReference"
[5] "class == java.lang.reflect.Method"
[6] "class == java.lang.reflect.Constructor"
[7] "instanceof java.util.Properties"
[8] "Integer[]"
[9] "Double[]"
[10] "Boolean[]"
[11] "[[<primitive> to a list of built-in vectors"
$toJava
[1] "list object to Java"
[2] "org/omegahat/R/Java/RFunctionListener"