bq. .drop("Col9")
Could it be due to the above ?
On Wed, Mar 16, 2016 at 7:29 PM, Divya Gehlot <divya.htco...@gmail.com>
wrote:
> Hi,
> I am dynamically doing union all and adding new column too
>
> val dfresult =
>> dfAcStamp.select("Col1","Col1","Col3","Col4","Col5","Col6","col7","col8","col9")
>> val schemaL = dfresult.schema
>> var dffiltered = sqlContext.createDataFrame(sc.emptyRDD[Row], schemaL)
>> for ((key,values) <- lcrMap) {
>> if(values(4) != null){
>> println("Condition============="+values(4))
>> val renameRepId = values(0)+"REP_ID"
>> dffiltered.printSchema
>> dfresult.printSchema
>> dffiltered =
>> dffiltered.unionAll(dfresult.withColumn(renameRepId,lit(values(3))).drop("Col9").select("Col1","Col1","Col3","Col4","Col5","Col6","Col7","Col8","Col9").where(values(4))).distinct()
>
>
>> }
>> }
>
>
>
> when I am printing the schema
> dfresult
> root
> |-- Col1: date (nullable = true)
> |-- Col2: date (nullable = true)
> |-- Col3: string (nullable = false)
> |-- Col4: string (nullable = false)
> |-- Col5: string (nullable = false)
> |-- Col6: string (nullable = true)
> |-- Col7: string (nullable = true)
> |-- Col8: string (nullable = true)
> |-- Col9: null (nullable = true)
>
>
> dffiltered Schema
> root
> |-- Col1: date (nullable = true)
> |-- Col2: date (nullable = true)
> |-- Col3: string (nullable = false)
> |-- Col4: string (nullable = false)
> |-- Col5: string (nullable = false)
> |-- Col6: string (nullable = true)
> |-- Col7: string (nullable = true)
> |-- Col8: string (nullable = true)
> |-- Col9: null (nullable = true)
>
>
> As It is priting the same schema but when I am doing UnionAll its giving
> me below error
> org.apache.spark.sql.AnalysisException: Union can only be performed on
> tables with the same number of columns, but the left table has 9 columns
> and the right has 8;
>
> Could somebody help me in pointing out my mistake .
>
>
> Thanks,
>
>
>
