Ryan Patrick Kyle created ARROW-6819:
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Summary: arrow::read_parquet ignores as_data_frame when sparklyr
package is attached
Key: ARROW-6819
URL: https://issues.apache.org/jira/browse/ARROW-6819
Project: Apache Arrow
Issue Type: Bug
Components: R
Affects Versions: 0.15.0
Environment: R version 3.6.1 (2019-07-05) on x86_64, darwin15.6.0 (Mac
OS 10.13.4)
Reporter: Ryan Patrick Kyle
I am currently using v0.15.0 of the arrow package, installed from source using
CRAN. I also have v1.0.4 of the sparklyr package installed. While attempting to
read in Parquet data with both packages attached, the read_parquet function
appears to ignore the as_data_frame argument (which defaults to TRUE).
[https://github.com/apache/arrow/blob/3d55122c56a508894823a1b79bca71f519fdd52f/r/R/parquet.R#L35-L47]
I am not certain, but I suspect the issue may be in the way Table__to_dataframe
coerces Arrow Table objects into tibbles, since this statement appears also to
produce a tibble (I expected a data.frame to be returned):
arrow:::Table__to_dataframe(tab, use_threads=FALSE)
A reproducible example follows.
#This does work as expected
library(arrow)
temp <- tempfile()
download.file("https://github.com/Teradata/kylo/blob/master/samples/sample-data/parquet/userdata1.parquet?raw=true";,
temp)
read_parquet(temp, as_data_frame=TRUE)
#This does not work as expected
library(sparklyr)
library(arrow)
read_parquet(temp, as_data_frame=TRUE)
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