[
https://issues.apache.org/jira/browse/ARROW-17699?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Nicola Crane updated ARROW-17699:
---------------------------------
Description:
The issue here comes from accidentally passing in the schema function instead
of the created schema object, but the error message isn't helpful
{code:r}
library(dplyr)
desired_schema <- schema(mpg = float64(), disp = float64(), hp = int64(), drat
= float64(),
wt = float64(), qsec = float64(), vs = int64(), am = int64(),
gear = int64(), carb = int64(), cyl = int64())
tf <- tempfile()
dir.create(tf)
write_dataset(group_by(mtcars, cyl), tf, format = "csv", hive_style = FALSE)
open_dataset(tf, format = "csv", schema = schema) %>% collect()
#> Error in `CsvFileFormat$create()`:
#> ! Values in `column_names` must match `schema` field names
#> ✖ `column_names` and `schema` field names match but are not in the same order
list.files(tf)
#> [1] "4" "6" "8"
{code}
was:
{code:r}
library(dplyr)
# all good!
tf <- tempfile()
dir.create(tf)
write_dataset(mtcars, tf, format = "csv")
open_dataset(tf, format = "csv") %>% collect()
#> # A tibble: 32 × 11
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> <dbl> <int> <dbl> <int> <dbl> <dbl> <dbl> <int> <int> <int> <int>
#> 1 21 6 160 110 3.9 2.62 16.5 0 1 4 4
#> 2 21 6 160 110 3.9 2.88 17.0 0 1 4 4
#> 3 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1
#> 4 21.4 6 258 110 3.08 3.22 19.4 1 0 3 1
#> 5 18.7 8 360 175 3.15 3.44 17.0 0 0 3 2
#> 6 18.1 6 225 105 2.76 3.46 20.2 1 0 3 1
#> 7 14.3 8 360 245 3.21 3.57 15.8 0 0 3 4
#> 8 24.4 4 147. 62 3.69 3.19 20 1 0 4 2
#> 9 22.8 4 141. 95 3.92 3.15 22.9 1 0 4 2
#> 10 19.2 6 168. 123 3.92 3.44 18.3 1 0 4 4
#> # … with 22 more rows
# all good
tf <- tempfile()
dir.create(tf)
write_dataset(group_by(mtcars, cyl), tf, format = "csv")
open_dataset(tf, format = "csv") %>% collect()
#> # A tibble: 32 × 11
#> mpg disp hp drat wt qsec vs am gear carb cyl
#> <dbl> <dbl> <int> <dbl> <dbl> <dbl> <int> <int> <int> <int> <int>
#> 1 22.8 108 93 3.85 2.32 18.6 1 1 4 1 4
#> 2 24.4 147. 62 3.69 3.19 20 1 0 4 2 4
#> 3 22.8 141. 95 3.92 3.15 22.9 1 0 4 2 4
#> 4 32.4 78.7 66 4.08 2.2 19.5 1 1 4 1 4
#> 5 30.4 75.7 52 4.93 1.62 18.5 1 1 4 2 4
#> 6 33.9 71.1 65 4.22 1.84 19.9 1 1 4 1 4
#> 7 21.5 120. 97 3.7 2.46 20.0 1 0 3 1 4
#> 8 27.3 79 66 4.08 1.94 18.9 1 1 4 1 4
#> 9 26 120. 91 4.43 2.14 16.7 0 1 5 2 4
#> 10 30.4 95.1 113 3.77 1.51 16.9 1 1 5 2 4
#> # … with 22 more rows
list.files(tf)
#> [1] "cyl=4" "cyl=6" "cyl=8"
# hive-style=FALSE leads to no `cyl` column, which, sure, makes sense
tf <- tempfile()
dir.create(tf)
write_dataset(group_by(mtcars, cyl), tf, format = "csv", hive_style = FALSE)
open_dataset(tf, format = "csv") %>% collect()
#> # A tibble: 32 × 10
#> mpg disp hp drat wt qsec vs am gear carb
#> <dbl> <dbl> <int> <dbl> <dbl> <dbl> <int> <int> <int> <int>
#> 1 22.8 108 93 3.85 2.32 18.6 1 1 4 1
#> 2 24.4 147. 62 3.69 3.19 20 1 0 4 2
#> 3 22.8 141. 95 3.92 3.15 22.9 1 0 4 2
#> 4 32.4 78.7 66 4.08 2.2 19.5 1 1 4 1
#> 5 30.4 75.7 52 4.93 1.62 18.5 1 1 4 2
#> 6 33.9 71.1 65 4.22 1.84 19.9 1 1 4 1
#> 7 21.5 120. 97 3.7 2.46 20.0 1 0 3 1
#> 8 27.3 79 66 4.08 1.94 18.9 1 1 4 1
#> 9 26 120. 91 4.43 2.14 16.7 0 1 5 2
#> 10 30.4 95.1 113 3.77 1.51 16.9 1 1 5 2
#> # … with 22 more rows
list.files(tf)
#> [1] "4" "6" "8"
# *but* if we try to add it in via a schema, it doesn't work
desired_schema <- schema(mpg = float64(), disp = float64(), hp = int64(), drat
= float64(),
wt = float64(), qsec = float64(), vs = int64(), am = int64(),
gear = int64(), carb = int64(), cyl = int64())
tf <- tempfile()
dir.create(tf)
write_dataset(group_by(mtcars, cyl), tf, format = "csv", hive_style = FALSE)
open_dataset(tf, format = "csv", schema = schema) %>% collect()
#> Error in `CsvFileFormat$create()`:
#> ! Values in `column_names` must match `schema` field names
#> ✖ `column_names` and `schema` field names match but are not in the same order
list.files(tf)
#> [1] "4" "6" "8"
{code}
> [R] Add better error message for if a non-schema passed into open_dataset()
> ---------------------------------------------------------------------------
>
> Key: ARROW-17699
> URL: https://issues.apache.org/jira/browse/ARROW-17699
> Project: Apache Arrow
> Issue Type: Bug
> Components: R
> Reporter: Nicola Crane
> Priority: Major
>
> The issue here comes from accidentally passing in the schema function instead
> of the created schema object, but the error message isn't helpful
> {code:r}
> library(dplyr)
> desired_schema <- schema(mpg = float64(), disp = float64(), hp = int64(),
> drat = float64(),
> wt = float64(), qsec = float64(), vs = int64(), am = int64(),
> gear = int64(), carb = int64(), cyl = int64())
> tf <- tempfile()
> dir.create(tf)
> write_dataset(group_by(mtcars, cyl), tf, format = "csv", hive_style = FALSE)
> open_dataset(tf, format = "csv", schema = schema) %>% collect()
> #> Error in `CsvFileFormat$create()`:
> #> ! Values in `column_names` must match `schema` field names
> #> ✖ `column_names` and `schema` field names match but are not in the same
> order
> list.files(tf)
> #> [1] "4" "6" "8"
> {code}
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
