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Posted to issues@arrow.apache.org by "Nicola Crane (Jira)" <ji...@apache.org> on 2021/11/17 22:01:00 UTC
[jira] [Created] (ARROW-14743) [C++] Error reading in dataset when partitioning variable in schema
Nicola Crane created ARROW-14743:
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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}
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