Resolved: TableCatelog doesn't supports multiple columns from multiple Columnfamilies

[chetkhatri]

If your catalog having the format where you have multiple columns from single / multiple column family, at that point it throws an exception, for example.

def empcatalog = s"""{
|"table":{"namespace":"empschema", "name":"emp"},
|"rowkey":"key",
|"columns":{
|"empNumber":{"cf":"rowkey", "col":"key", "type":"string"},
|"city":{"cf":"pdata", "col":"city", "type":"string"},
|"empName":{"cf":"pdata", "col":"name", "type":"string"},
|"jobDesignation":{"cf":"pdata", "col":"designation", "type":"string"},
|"salary":{"cf":"pdata", "col":"salary", "type":"string"}
|}
|}""".stripMargin

Here, we have city, name, designation, salary from pdata column family.

Exception while saving Dataframe at HBase.

java.lang.IllegalArgumentException: Family 'pdata' already exists so cannot be added
at org.apache.hadoop.hbase.HTableDescriptor.addFamily(HTableDescriptor.java:827)
at org.apache.spark.sql.execution.datasources.hbase.HBaseRelation$$anonfun$createTable$1.apply(HBaseRelation.scala:98)
at org.apache.spark.sql.execution.datasources.hbase.HBaseRelation$$anonfun$createTable$1.apply(HBaseRelation.scala:95)
at scala.collection.immutable.List.foreach(List.scala:381)
at org.apache.spark.sql.execution.datasources.hbase.HBaseRelation.createTable(HBaseRelation.scala:95)
at org.apache.spark.sql.execution.datasources.hbase.DefaultSource.createRelation(HBaseRelation.scala:58)
at org.apache.spark.sql.execution.datasources.DataSource.write(DataSource.scala:457)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:211)

HBaseTableCatalog.scala class has getColumnFamilies method which returns duplicates, which should not return.

Unit test has been written for the same at HBaseTableCatelog.scala, writeCatalog definition.