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library(sparklyr)
sc <- spark_connect(master = "local")

date1 <- data.frame(DATE1 =c ("12-01-2020","2020-12-24",
  "14-May-2020","19/3/2020 14:32:15",
  "2020-09-08","05/05/2020"),
  NAME1 = c("A","B","C","D","E","F"))
tbl <- copy_to(sc, date1)

The end result date should be in 'dd-mmm-yyyy' format.

Tried this

 lubridate::parse_date_time(tbl %>% select(DATE1) , c('dmY', 'Ymd', 'dmYT'))

[1] NA NA Warning message: All formats failed to parse. No formats found.

Let's Code
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1 Answers1

1

This works in R, can you check if it does in sparklyr ?

as.Date(lubridate::parse_date_time(date1$DATE1, c('dmY', 'Ymd', 'dmYT')))
#[1] "2020-01-12" "2020-12-24" "2020-05-14" "2020-03-19" "2020-09-08" "2020-05-05"
Ronak Shah
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