create hive external table with schema in spark

Question

I am using spark 1.6 and I aim to create external hive table like what I do in hive script. To do this, I first read in the partitioned avro file and get the schema of this file. Now I stopped here, I get no idea how to apply this schema to my creating table. I use scala. Need help guys.

Answer 1

finally, I make it myself with old-fashioned way. With the help of code below:

val rawSchema = sqlContext.read.avro("Path").schema
val schemaString = rawSchema.fields.map(field => field.name.replaceAll("""^_""", "").concat(" ").concat(field.dataType.typeName match {
        case "integer" => "int"
        case smt => smt
      })).mkString(",\n")

      val ddl =
      s"""
         |Create external table $tablename ($schemaString) \n
         |partitioned by (y int, m int, d int, hh int, mm int) \n
         |Stored As Avro \n
         |-- inputformat 'org.apache.hadoop.hive.ql.io.avro.AvroContainerInputFormat' \n
         | -- outputformat 'org.apache.hadoop.hive.ql.io.avro.AvroContainerOutputFormat' \n
         | Location 'hdfs://$path'
       """.stripMargin

take care no column name can start with _ and hive can't parse integer. I would like to say that this way is not flexible but work. if anyone get better idea, plz comment.