tests/testthat/_snaps/pack_join.md

In krlmlr/dm: Relational Data Models

pack_join() works

Code
  pack_join(df1, df2)
Message
  Joining with `by = join_by(key)`
Output
  # A tibble: 2 x 3
     col1 key   df2$col2
    <int> <chr>    <int>
  1     1 a            3
  2     2 b            4

Code
  pack_join(df1, df2, name = "packed_col")
Message
  Joining with `by = join_by(key)`
Output
  # A tibble: 2 x 3
     col1 key   packed_col$col2
    <int> <chr>           <int>
  1     1 a                   3
  2     2 b                   4

Code
  pack_join(df1, df3, by = c(key = "key3"))
Output
  # A tibble: 2 x 3
     col1 key   df3$col3
    <int> <chr>    <int>
  1     1 a            3
  2     2 b            4

Code
  pack_join(df1, df3, by = c(key = "key3"), keep = TRUE)
Output
  # A tibble: 2 x 3
     col1 key   df3$col3 $key3
    <int> <chr>    <int> <chr>
  1     1 a            3 a    
  2     2 b            4 b

pack_join() works with remote table

`x` and `y` must share the same src, set `copy` = TRUE (may be slow)

Code
  pack_join(df1, dm_remote$tf_1, by = c(col1 = "a"), copy = TRUE)
Output
  # A tibble: 2 x 3
     col1 key   `dm_remote$tf_1`$b
    <int> <chr> <chr>             
  1     1 a     A                 
  2     2 b     B

Code
  pack_join(df4, df5, by = c(df5 = "col"))
Output
  # A tibble: 0 x 1
  # i 1 variable: df5 <tibble[,0]>

Code
  pack_join(df5, df6, by = c(col = "df6"))
Output
  # A tibble: 0 x 2
  # i 2 variables: col <int>, df6 <tibble[,0]>

krlmlr/dm documentation built on April 19, 2024, 5:23 p.m.