Github user zero323 commented on the pull request:
https://github.com/apache/spark/pull/9099#issuecomment-147826281
@felixcheung Here you are:
Spark 1.5.1
```
dt <- data.table::fread("flights.csv")
microbenchmark::microbenchmark(createDataFrame(sqlContext, dt), times=3)
## expr min lq mean median
uq
## createDataFrame(sqlContext, dt) 378.8534 379.4482 381.2061 380.043
382.3825
## max neval
## 384.722 3
```
It looks a little bit to good to be true, but as far as I can tell
everything works as expected.
Patched master:
```
dt <- data.table::fread("flights.csv")
microbenchmark::microbenchmark(createDataFrame(sqlContext, dt), times=3)
## expr min lq mean median
uq
## createDataFrame(sqlContext, dt) 5.196731 5.512982 5.674607 5.544245
5.959565
## max neval
## 6.159512 5
```
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