Details
-
Bug
-
Status: Closed
-
Major
-
Resolution: Workaround
-
1.3.1
-
None
-
None
Description
DataSet<Row> dataSet = env .readCsvFile("/file/test-data.csv") .fieldDelimiter(",") .parseQuotedStrings('"') .ignoreFirstLine() .types(String.class, Double.class, Double.class, Double.class, Double.class)
Caused by: org.apache.flink.api.common.io.ParseException: Line could not be parsed: '"1950-01-01","73.20101635771319","87.25023810870184","36.0149972876981","46.43200584961114"' ParserError NUMERIC_VALUE_FORMAT_ERROR Expect field types: class java.lang.String, class java.lang.Double, class java.lang.Double, class java.lang.Double, class java.lang.Double
Test data example:
"ID","F1","F2","F3","F4"
"1950-01-01","73.20101635771319","87.25023810870184","36.0149972876981","46.43200584961114"
"1950-01-02","22.265361054145394","57.02164143464855","67.24219049572051","43.058275223048035"
"1950-01-03","45.674551461704915","86.35170144091485","16.18842554618568","6.748071385147735"
"1950-01-04","8.890850738221644","20.490727535158946","58.32831367590852","17.916755029167952"
"1950-01-05","38.07336923931018","27.223155544419697","92.67895969507504","60.027033750000335"
If generate this data without quote char, it will be fine.
Attachments
Attachments
Issue Links
- Is contained by
-
FLINK-7050 RFC Compliant CSV Parser for Table Source
- Open