Nicola Crane created ARROW-14743:
------------------------------------
Summary: [C++] Error reading in dataset when partitioning variable
in schema
Key: ARROW-14743
URL: https://issues.apache.org/jira/browse/ARROW-14743
Project: Apache Arrow
Issue Type: New Feature
Components: C++
Reporter: Nicola Crane
If partitioned data is read back in and a schema is used (containing the
partitioning variable), there is an error - see below. The error occurs
whether or not the argument {partitioning} is specified or not.
{code: r}
library(arrow)
library(dplyr)
data(diamonds, package='ggplot2')
write_dataset(diamonds, path='diamonds', format='csv', partitioning='cut')
diamond_schema <- schema(
carat=float64(),
cut=string(),
color=string(),
clarity=string(),
depth=float64(),
table=float64(),
price=float64(),
x=float64(),
y=float64(),
z=float64(),
)
open_dataset('diamonds', format='csv', schema=diamond_schema, partitioning =
"cut") %>%
collect()
# Error: Invalid: Could not open CSV input source
'/home/nic2/arrow/r/diamonds/cut=Fair/part-0.csv': Invalid: CSV parse error:
Row #1: Expected 10 columns, got 9:
"carat","color","clarity","depth","table","price","x","y","z"
{code}
--
This message was sent by Atlassian Jira
(v8.20.1#820001)
