RJSONIO vs rjson - better tuning

Question

UPDATE:

The tl;dr is that RJSONIO is no longer the faster of the two options. Rather rjson is now much faste

Answer 1

> library('BBmisc')
> suppressAll(lib(c('RJSONIO','rjson','jsonlite','microbenchmark')))
> U <- toJSON(list(1:10, LETTERS, letters, rnorm(20)))
> microbenchmark(
+     rjson::toJSON(U),
+     RJSONIO::toJSON(U),
+     jsonlite::toJSON(U, dataframe = "column"),
+     times = 10
+ )
Unit: microseconds
                                      expr     min      lq      mean   median      uq       max neval cld
                          rjson::toJSON(U)  65.174  68.767 2002.7007  88.2675 103.151 19179.224    10   a
                        RJSONIO::toJSON(U) 299.186 304.832  482.8038 329.7210 493.683  1351.727    10   a
 jsonlite::toJSON(U, dataframe = "column") 485.985 501.381  555.4192 548.5935 587.083   708.708    10   a

Testing system.time()

> microbenchmark(
+     system.time(rjson::toJSON(U)),
+     system.time(RJSONIO::toJSON(U)),
+     system.time(jsonlite::toJSON(U, dataframe = "column")),
+     times = 10)
Unit: milliseconds
                                                   expr      min       lq     mean   median       uq      max neval cld
                          system.time(rjson::toJSON(U)) 112.0660 115.8677 119.8426 119.8372 121.6908 132.2111    10  ab
                        system.time(RJSONIO::toJSON(U)) 115.4223 118.0262 129.2758 120.5690 148.5175 151.6874    10   b
 system.time(jsonlite::toJSON(U, dataframe = "column")) 113.2674 114.9096 118.0905 117.8401 120.9626 123.6784    10  a

Below are comparison of few packages. Hope these links help...

1) New package: jsonlite. A smart(er) JSON encoder/decoder.

2) Improved memory usage and RJSONIO compatibility in jsonlite 0.9.15

3) A biased comparsion of JSON packages in R