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Hi Folks, If you need to send data from Java to R you may consider using the JDataFrame API -- which is used to convert data into JSON which then can be converted into a data frame in R. Here's the project page: https://coherentlogic.com/middleware-development/jdataframe/ and here's a partial example which demonstrates what the API looks like: String result = new JDataFrameBuilder()

...t for practical purposes is doesn't seem like the most efficient solution. > > Since you didn't provide any code, I built a test case using the build-in Java JSON API to build a medium-sized dataset (1e6 rows) and read it in just to get a ballpark (see > https://gist.github.com/s-u/4efb284e3c15c6a2db16 > > # generate: > time java -cp .:javax.json-api-1.0.jar:javax.json-1.0.4.jar A > 1e6 > > real 0m2.764s > user 0m20.356s > sys 0m0.962s > > # read: >> system.time(temp <- RJSONIO::fromJSON("1e6")) > user system elapsed > 3.484...

...data sets, but for practical purposes is doesn't seem like the most efficient solution. Since you didn't provide any code, I built a test case using the build-in Java JSON API to build a medium-sized dataset (1e6 rows) and read it in just to get a ballpark (see https://gist.github.com/s-u/4efb284e3c15c6a2db16 # generate: time java -cp .:javax.json-api-1.0.jar:javax.json-1.0.4.jar A > 1e6 real 0m2.764s user 0m20.356s sys 0m0.962s # read: > system.time(temp <- RJSONIO::fromJSON("1e6")) user system elapsed 3.484 0.279 3.834 > str(temp) List of 2 $ V1: num [1:1000000] 0...

...al purposes is doesn't seem like the most efficient solution. >> >> Since you didn't provide any code, I built a test case using the build-in Java JSON API to build a medium-sized dataset (1e6 rows) and read it in just to get a ballpark (see >> https://gist.github.com/s-u/4efb284e3c15c6a2db16 >> >> # generate: >> time java -cp .:javax.json-api-1.0.jar:javax.json-1.0.4.jar A > 1e6 >> >> real 0m2.764s >> user 0m20.356s >> sys 0m0.962s >> >> # read: >>> system.time(temp <- RJSONIO::fromJSON("1e6"))...