Trying to parse .csv file with jackson-dataformat-csv. File contains a lot of columns not relevant for my program.
Tried to use @JsonIgnoreProperties(ignoreUnknown = true)
on my data class,
and csvMapper.disable(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES)
, but neither works, and application throws exception:
com.fasterxml.jackson.databind.RuntimeJsonMappingException: Too many entries: expected at most 2 (value #2 (17 chars) "policy_issue_date")
at [Source: (com.fasterxml.jackson.dataformat.csv.impl.UTF8Reader); line: 1, column: 37]
at com.fasterxml.jackson.databind.MappingIterator.next(MappingIterator.java:194)
at pl.polins.readers.oc.OcPolicyCsvReader.readNext(OcPolicyCsvReader.kt:25)
at pl.polins.readers.oc.OcPolicyCsvReaderTest.should read PolicyCsv from .csv file(OcPolicyCsvReaderTest.groovy:19)
Caused by: com.fasterxml.jackson.dataformat.csv.CsvMappingException: Too many entries: expected at most 2 (value #2 (17 chars) "policy_issue_date")
at [Source: (com.fasterxml.jackson.dataformat.csv.impl.UTF8Reader); line: 1, column: 37]
at com.fasterxml.jackson.dataformat.csv.CsvMappingException.from(CsvMappingException.java:23)
at com.fasterxml.jackson.dataformat.csv.CsvParser._reportCsvMappingError(CsvParser.java:1210)
at com.fasterxml.jackson.dataformat.csv.CsvParser._handleExtraColumn(CsvParser.java:965)
at com.fasterxml.jackson.dataformat.csv.CsvParser._handleNextEntry(CsvParser.java:826)
at com.fasterxml.jackson.dataformat.csv.CsvParser.nextToken(CsvParser.java:580)
at com.fasterxml.jackson.databind.deser.BeanDeserializer._deserializeUsingPropertyBased(BeanDeserializer.java:418)
at com.fasterxml.jackson.databind.deser.BeanDeserializerBase.deserializeFromObjectUsingNonDefault(BeanDeserializerBase.java:1266)
at com.fasterxml.jackson.databind.deser.BeanDeserializer.deserializeFromObject(BeanDeserializer.java:325)
at com.fasterxml.jackson.databind.deser.BeanDeserializer.deserialize(BeanDeserializer.java:159)
at com.fasterxml.jackson.databind.MappingIterator.nextValue(MappingIterator.java:277)
at com.fasterxml.jackson.databind.MappingIterator.next(MappingIterator.java:192)
... 2 more
Is there any solution to ignore unwanted columns in csv?
Found solution:
csvMapper.enable(CsvParser.Feature.IGNORE_TRAILING_UNMAPPABLE)
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