Herd/Spark - load dataframe with POD data and a large partition range -- make ddl call allow missing data
@@ -582,6 +582,7 @@ class DefaultHerdApi(private val apiClient: ApiClient) extends HerdApi with Retr
businessObjectDataPartitionsRequest.setBusinessObjectFormatUsage(formatUsage)
businessObjectDataPartitionsRequest.setBusinessObjectFormatFileType(formatFileType)
businessObjectDataPartitionsRequest.setBusinessObjectFormatVersion(formatVersion)
+ businessObjectDataPartitionsRequest.setAllowMissingData(true)
val partitionValueFilter = new PartitionValueFilter()
partitionValueFilter.setPartitionKey(partitionKey)
