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Posted to jira@arrow.apache.org by "Jonathan Keane (Jira)" <ji...@apache.org> on 2021/09/30 20:11:00 UTC
[jira] [Assigned] (ARROW-14184) [C++] allow joins where the keys
include new columns on the left
[ https://issues.apache.org/jira/browse/ARROW-14184?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Jonathan Keane reassigned ARROW-14184:
--------------------------------------
Assignee: Michal Nowakiewicz
> [C++] allow joins where the keys include new columns on the left
> ----------------------------------------------------------------
>
> Key: ARROW-14184
> URL: https://issues.apache.org/jira/browse/ARROW-14184
> Project: Apache Arrow
> Issue Type: Bug
> Components: C++
> Reporter: Jonathan Keane
> Assignee: Michal Nowakiewicz
> Priority: Major
>
> If I try to join where the key column on the left is new (a rename, or made by an expression) I get an error:
> {code}
> ``` r
> library(arrow, warn.conflicts = FALSE)
> library(dplyr, warn.conflicts = FALSE)
> right_df <- data.frame(
> gear = as.double(c(3:5)),
> col_a = "a"
> )
> Table$create(mtcars) %>%
> rename(the_gear = gear) %>%
> left_join(
> right_df,
> by = c(the_gear = "gear")
> ) %>%
> collect()
> #> Error: Invalid: No match or multiple matches for key field reference FieldRef.Name(the_gear) on left side of the join
> {code}
> Interestingly, if the column is renamed/created on the right side, it works just fine:
> {code}
> Table$create(mtcars) %>%
> left_join(
> right_df %>%
> rename(the_gear = gear),
> by = c(gear = "the_gear")
> ) %>%
> collect()
> #> mpg cyl disp hp drat wt qsec vs am gear carb col_a
> #> 1 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4 a
> #> 2 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4 a
> #> 3 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1 a
> #> 4 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1 a
> #> 5 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2 a
> #> 6 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1 a
> #> 7 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4 a
> #> 8 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2 a
> #> 9 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2 a
> #> 10 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4 a
> #> 11 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4 a
> #> 12 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3 a
> #> 13 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3 a
> #> 14 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3 a
> #> 15 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4 a
> #> 16 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4 a
> #> 17 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4 a
> #> 18 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1 a
> #> 19 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2 a
> #> 20 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1 a
> #> 21 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1 a
> #> 22 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2 a
> #> 23 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2 a
> #> 24 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4 a
> #> 25 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2 a
> #> 26 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1 a
> #> 27 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2 a
> #> 28 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2 a
> #> 29 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4 a
> #> 30 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6 a
> #> 31 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8 a
> #> 32 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2 a
> {code}
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