Integration with sparklyr is failing, starting with parsnip 2.0

[edgararuiz]

Recent sparklyr GHA R checks are failing on parsnip tests. These tests are new, and dev-version package testing is not yet working in GHA for sparklyr, so we didn't catch it until now.

reprex:

library(sparklyr)
library(parsnip)

sc <- spark_connect("local")
iris_tbl <- sdf_copy_to(sc, iris)

decision_tree(engine = "spark") %>%
  set_mode("classification") %>%
  fit(Species ~ Sepal_Length + Petal_Length, iris_tbl)
#> Error in eval_tidy(env$formula[[2]], env$data): object 'Species' not found

spark_disconnect(sc)

It looks like this is the check in which it happens:

parsnip/R/fit_helpers.R

Line 9 in b6db676

check_outcome(eval_tidy(env$formula[[2]], env$data), object)

Also confirmed here: https://github.com/sparklyr/sparklyr/runs/5483357141?check_suite_focus=true#step:19:1469

[topepo]

I think that this would be fixed if we wrapped it in a

if (!inherits(env$data, "tbl_spark")) {
  check_outcome(eval_tidy(env$formula[[2]], env$data), object) 
}

[github-actions]

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