[
https://issues.apache.org/jira/browse/ARROW-13887?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Nicola Crane updated ARROW-13887:
---------------------------------
Description:
When reading in a CSV with headers, and also using a schema, we get an error as
the code tries to read in the header as a line of data.
{code:java}
share_data <- tibble::tibble(
company = c("AMZN", "GOOG", "BKNG", "TSLA"),
price = c(3463.12, 2884.38, 2300.46, 732.39)
)
readr::write_csv(share_data, file = "share_data.csv")
share_schema <- schema(
company = utf8(),
price = float64()
)
read_csv_arrow("share_data.csv", schema = share_schema)
{code}
{code:java}
Error: Invalid: In CSV column #1: CSV conversion error to double: invalid value
'price'
/home/nic2/arrow/cpp/src/arrow/csv/converter.cc:492 decoder_.Decode(data, size,
quoted, &value)
/home/nic2/arrow/cpp/src/arrow/csv/parser.h:84 status
/home/nic2/arrow/cpp/src/arrow/csv/converter.cc:496
parser.VisitColumn(col_index, visit) {code}
The correct thing here would have been for the user to supply the argument
{{skip=1}} to {{read_csv_arrow()}} but this is not immediately obvious from the
error message returned from C++. We should capture the error and instead
supply our own error message using {{rlang::abort}} which informs the user of
the error and then suggests what they can do to prevent it.
For similar examples (and their associated PRs) see {color:#1d1c1d}ARROW-11766,
and ARROW-12791{color}
was:
When reading in a CSV with headers, and also using a schema, we get an error as
the code tries to read in the header as a line of data.
{code:java}
share_data <- tibble::tibble(
company = c("AMZN", "GOOG", "BKNG", "TSLA"),
price = c(3463.12, 2884.38, 2300.46, 732.39),
date = rep(as.Date("2021-09-03"), 4)
)
readr::write_csv(share_data, file = "share_data.csv")
share_schema <- schema(
company = utf8(),
price = float64(),
date = date32()
)
read_csv_arrow("share_data.csv", schema = share_schema)
{code}
{code:java}
Error: Invalid: In CSV column #1: CSV conversion error to double: invalid value
'price'
/home/nic2/arrow/cpp/src/arrow/csv/converter.cc:492 decoder_.Decode(data, size,
quoted, &value)
/home/nic2/arrow/cpp/src/arrow/csv/parser.h:84 status
/home/nic2/arrow/cpp/src/arrow/csv/converter.cc:496
parser.VisitColumn(col_index, visit) {code}
The correct thing here would have been for the user to supply the argument
{{skip=1}} to {{read_csv_arrow()}} but this is not immediately obvious from the
error message returned from C++. We should capture the error and instead
supply our own error message using {{rlang::abort}} which informs the user of
the error and then suggests what they can do to prevent it.
For similar examples (and their associated PRs) see {color:#1d1c1d}ARROW-11766,
and ARROW-12791{color}
> [R] Capture error produced when reading in CSV file with headers and using a
> schema, and add suggestion
> -------------------------------------------------------------------------------------------------------
>
> Key: ARROW-13887
> URL: https://issues.apache.org/jira/browse/ARROW-13887
> Project: Apache Arrow
> Issue Type: Improvement
> Components: R
> Reporter: Nicola Crane
> Priority: Major
> Labels: good-first-issue
>
> When reading in a CSV with headers, and also using a schema, we get an error
> as the code tries to read in the header as a line of data.
> {code:java}
> share_data <- tibble::tibble(
> company = c("AMZN", "GOOG", "BKNG", "TSLA"),
> price = c(3463.12, 2884.38, 2300.46, 732.39)
> )
> readr::write_csv(share_data, file = "share_data.csv")
> share_schema <- schema(
> company = utf8(),
> price = float64()
> )
> read_csv_arrow("share_data.csv", schema = share_schema)
> {code}
> {code:java}
> Error: Invalid: In CSV column #1: CSV conversion error to double: invalid
> value 'price'
> /home/nic2/arrow/cpp/src/arrow/csv/converter.cc:492 decoder_.Decode(data,
> size, quoted, &value)
> /home/nic2/arrow/cpp/src/arrow/csv/parser.h:84 status
> /home/nic2/arrow/cpp/src/arrow/csv/converter.cc:496
> parser.VisitColumn(col_index, visit) {code}
> The correct thing here would have been for the user to supply the argument
> {{skip=1}} to {{read_csv_arrow()}} but this is not immediately obvious from
> the error message returned from C++. We should capture the error and instead
> supply our own error message using {{rlang::abort}} which informs the user of
> the error and then suggests what they can do to prevent it.
>
> For similar examples (and their associated PRs) see
> {color:#1d1c1d}ARROW-11766, and ARROW-12791{color}
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