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When I run exportToAres() with outputFormat="duckdb", I see following error:
arguments imply differing number of rows: 1, 0
Here is log:
...
Connecting using Redshift driver
Generating Measurement reports
Generating Measurement reports
Connecting using Redshift driver
Error in data.frame(CONCEPT_ID = concept_id, CONCEPT_NAME = report$CONCEPT_NAME, :
arguments imply differing number of rows: 1, 0
This happens when concept_id is 0 and some other fields, like concept_name, are NAs. normalizeEmptyValue() replaces NAs with empty vectors and subsequent call to createConceptMedatataTable() tries to create data.frame out of concept_id of length 1 and the empty vectors.
Not sure if having concept_id 0 with empty concept_name is a valid situation.
When running with JSON output format against the same data, no error is produced.
The text was updated successfully, but these errors were encountered:
When I run exportToAres() with
outputFormat="duckdb"
, I see following error:Here is log:
This happens when concept_id is 0 and some other fields, like concept_name, are NAs.
normalizeEmptyValue()
replaces NAs with empty vectors and subsequent call tocreateConceptMedatataTable()
tries to create data.frame out of concept_id of length 1 and the empty vectors.Not sure if having concept_id 0 with empty concept_name is a valid situation.
When running with JSON output format against the same data, no error is produced.
The text was updated successfully, but these errors were encountered: