So I am trying to add column when I find it but I so not want to add when column is not present in the xml schema . This is what I am doing I guess I am doing something wrong in checking the condition .
val temp = tempNew1
.withColumn("BookMark", when($"AsReportedItem.fs:BookMark".isNotNull or $"AsReportedItem.fs:BookMark" =!= "", 0))
.withColumn("DocByteOffset", when($"AsReportedItem.fs:DocByteOffset".isNotNull or $"AsReportedItem.fs:DocByteOffset" =!= "", 0))
.withColumn("DocByteLength", when($"AsReportedItem.fs:DocByteLength".isNotNull or $"AsReportedItem.fs:DocByteLength" =!= "", 0))
.withColumn("EditedDescription", when($"AsReportedItem.fs:EditedDescription".isNotNull or $"AsReportedItem.fs:EditedDescription" =!= "", 0))
.withColumn("EditedDescription", when($"AsReportedItem.fs:EditedDescription._VALUE".isNotNull or $"AsReportedItem.fs:EditedDescription._VALUE" =!= "", 0))
.withColumn("EditedDescription_languageId", when($"AsReportedItem.fs:EditedDescription._languageId".isNotNull or $"AsReportedItem.fs:EditedDescription._languageId" =!= "", 0))
.withColumn("ReportedDescription", when($"AsReportedItem.fs:ReportedDescription._VALUE".isNotNull or $"AsReportedItem.fs:ReportedDescription._VALUE" =!= "", 0))
.withColumn("ReportedDescription_languageId", when($"AsReportedItem.fs:ReportedDescription._languageId".isNotNull or $"AsReportedItem.fs:ReportedDescription._languageId" =!= "", 0))
.withColumn("FinancialAsReportedLineItemName_languageId", when($"FinancialAsReportedLineItemName._languageId".isNotNull or $"FinancialAsReportedLineItemName._languageId" =!= "", 0))
.withColumn("FinancialAsReportedLineItemName", when($"FinancialAsReportedLineItemName._VALUE".isNotNull or $"FinancialAsReportedLineItemName._VALUE" =!= "", 0))
.withColumn("PeriodPermId_objectTypeId", when($"PeriodPermId._objectTypeId".isNotNull or $"PeriodPermId._objectTypeId" =!= "", 0))
.withColumn("PeriodPermId", when($"PeriodPermId._VALUE".isNotNull or $"PeriodPermId._VALUE" =!= "", 0))
.drop($"AsReportedItem").drop($"AsReportedItem")
But when I find column it works fine for me but when column is not present in tempNew1 I get error .
Basically I don't want to do withColumn at all if tag is not found in the schema .
Soothing I am missing here .Please help me identify the issue .
The error I get is below
Exception in thread "main" org.apache.spark.sql.AnalysisException: cannot resolve '
AsReportedItem.fs:BookMark' given input columns: [IsAsReportedCurrencySetManually,
This is also i have tried
def hasColumn(df: DataFrame, path: String) = Try(df(path)).isSuccess
val temp = tempNew1.withColumn("BookMark", when(hasColumn(tempNew1,"AsReportedItem.fs:BookMark") == true, $"AsReportedItem.fs:BookMark"))
But not able to make it work fully ..
This is working but how can I write it for all columns .
val temp = if (hasColumn(tempNew1, "AsReportedItem")) {
tempNew1
.withColumn("BookMark", $"AsReportedItem.fs:BookMark")
.withColumn("DocByteOffset", $"AsReportedItem.fs:DocByteOffset")
.withColumn("DocByteLength", $"AsReportedItem.fs:DocByteLength")
.withColumn("EditedDescription", $"AsReportedItem.fs:EditedDescription")
.withColumn("EditedDescription", $"AsReportedItem.fs:EditedDescription._VALUE")
.withColumn("EditedDescription_languageId", $"AsReportedItem.fs:EditedDescription._languageId")
.withColumn("ReportedDescription", $"AsReportedItem.fs:ReportedDescription._VALUE")
.withColumn("ReportedDescription_languageId", $"AsReportedItem.fs:ReportedDescription._languageId")
.withColumn("FinancialAsReportedLineItemName_languageId", $"FinancialAsReportedLineItemName._languageId")
.withColumn("FinancialAsReportedLineItemName", $"FinancialAsReportedLineItemName._VALUE")
.withColumn("PeriodPermId_objectTypeId", $"PeriodPermId._objectTypeId")
.withColumn("PeriodPermId", $"PeriodPermId._VALUE")
.drop($"AsReportedItem")
} else {
tempNew1
.withColumn("BookMark", lit(null))
.withColumn("DocByteOffset", lit(null))
.withColumn("DocByteLength", lit(null))
.withColumn("EditedDescription", lit(null))
.withColumn("EditedDescription", lit(null))
.withColumn("EditedDescription_languageId", lit(null))
.withColumn("ReportedDescription", lit(null))
.withColumn("ReportedDescription_languageId", lit(null))
.withColumn("FinancialAsReportedLineItemName_languageId", $"FinancialAsReportedLineItemName._languageId")
.withColumn("FinancialAsReportedLineItemName", $"FinancialAsReportedLineItemName._VALUE")
.withColumn("PeriodPermId_objectTypeId", $"PeriodPermId._objectTypeId")
.withColumn("PeriodPermId", $"PeriodPermId._VALUE")
.drop($"AsReportedItem")
}
Adding schema of the main data frame
root
|-- DataPartition: string (nullable = true)
|-- TimeStamp: string (nullable = true)
|-- PeriodId: long (nullable = true)
|-- SourceId: long (nullable = true)
|-- FinancialStatementLineItem_lineItemId: long (nullable = true)
|-- FinancialStatementLineItem_lineItemInstanceKey: long (nullable = true)
|-- StatementCurrencyId: long (nullable = true)
|-- StatementTypeCode: string (nullable = true)
|-- uniqueFundamentalSet: long (nullable = true)
|-- AuditID: string (nullable = true)
|-- EstimateMethodCode: string (nullable = true)
|-- EstimateMethodId: long (nullable = true)
|-- FinancialAsReportedLineItemName: struct (nullable = true)
| |-- _VALUE: string (nullable = true)
| |-- _languageId: long (nullable = true)
|-- FinancialStatementLineItemSequence: long (nullable = true)
|-- FinancialStatementLineItemValue: double (nullable = true)
|-- FiscalYear: long (nullable = true)
|-- IsAnnual: boolean (nullable = true)
|-- IsAsReportedCurrencySetManually: boolean (nullable = true)
|-- IsCombinedItem: boolean (nullable = true)
|-- IsDerived: boolean (nullable = true)
|-- IsExcludedFromStandardization: boolean (nullable = true)
|-- IsFinal: boolean (nullable = true)
|-- IsTotal: boolean (nullable = true)
|-- PeriodEndDate: string (nullable = true)
|-- PeriodPermId: struct (nullable = true)
| |-- _VALUE: long (nullable = true)
| |-- _objectTypeId: long (nullable = true)
|-- ReportedCurrencyId: long (nullable = true)
|-- StatementSectionCode: string (nullable = true)
|-- StatementSectionId: long (nullable = true)
|-- StatementSectionIsCredit: boolean (nullable = true)
|-- SystemDerivedTypeCode: string (nullable = true)
|-- SystemDerivedTypeCodeId: long (nullable = true)
|-- Unit: double (nullable = true)
|-- UnitEnumerationId: long (nullable = true)
|-- FFAction|!|: string (nullable = true)
|-- PartitionYear: long (nullable = true)
|-- PartitionStatement: string (nullable = true)
Adding schema after columns appears in the schema
|-- uniqueFundamentalSet: long (nullable = true)
|-- AsReportedItem: struct (nullable = true)
| |-- fs:BookMark: string (nullable = true)
| |-- fs:DocByteLength: long (nullable = true)
| |-- fs:DocByteOffset: long (nullable = true)
| |-- fs:EditedDescription: struct (nullable = true)
| | |-- _VALUE: string (nullable = true)
| | |-- _languageId: long (nullable = true)
| |-- fs:ItemDisplayedNegativeFlag: boolean (nullable = true)
| |-- fs:ItemDisplayedValue: double (nullable = true)
| |-- fs:ItemScalingFactor: long (nullable = true)
| |-- fs:ReportedDescription: struct (nullable = true)
| | |-- _VALUE: string (nullable = true)
| | |-- _languageId: long (nullable = true)
| |-- fs:ReportedValue: double (nullable = true)
|-- EstimateMethodCode: string (nullable = true)
|-- EstimateMethodId: long (nullable = true)
|-- FinancialAsReportedLineItemName: struct (nullable = true)
| |-- _VALUE: string (nullable = true)
| |-- _languageId: long (nullable = true)
|-- FinancialLineItemSource: long (nullable = true)
I am going to show you general way to apply the logic on AsReportedItem struct column ( I have commented in the code for clarity)
//required column names even though the elements are not present in AsReportedItem struct column
val requiredAsReportedItemColumns = Array("BookMark", "DocByteOffset", "DocByteLength", "EditedDescription", "EditedDescription", "EditedDescription_languageId", "ReportedDescription", "ReportedDescription_languageId")
//selecting the elements of AsReportedItem struct columns for checking condition using when
//checking for structfields inside the selected struct field
def getFields(parent: String, schema: StructType): Seq[String] = schema.fields.flatMap {
case StructField(name, t: StructType, _, _) => getFields(parent + name + ".", t)
case StructField(name, _, _, _) => Seq(s"$parent$name")
}
//checking for struct column if present the get the fields of nested structs as well
val AsReportedItemColumns = if(tempNew1.columns.contains("AsReportedItem")) getFields("", tempNew1.select("AsReportedItem.*").schema).toArray.map(x => x.substring(3, x.length)) else Array.empty[String]
//finding difference between required number of columns and the elements present in AsReportedItem struct column
val notInAsReportedItemColumns = requiredAsReportedItemColumns.diff(AsReportedItemColumns.map(x => x.toString.replace(".", "")))
//checking condition for the elements present in AsReportedItem struct column
val temp_for_AsReportedItem = AsReportedItemColumns.foldLeft(tempNew1){(tempdf, name) => tempdf.withColumn(name.replace(".", ""), col(s"AsReportedItem.fs:$name"))}
//populating nulls for the columns that are not present in AsReportedItem struct column
val final_AsReportedItem = notInAsReportedItemColumns.foldLeft(temp_for_AsReportedItem){(tempdf, name)=> tempdf.withColumn(name, lit(null))}.drop("AsReportedItem")
Apply the same logic for the rest of two struct columns FinancialAsReportedLineItemName and PeriodPermId but on the transformed datframe i.e. on final_AsReportedItem and not on tempNew1