How to create hive table from Spark data frame, using its schema?

Assuming, you are using Spark 2.1.0 or later and my_DF is your dataframe,

//get the schema split as string with comma-separated field-datatype pairs
StructType my_schema = my_DF.schema();
String columns = Arrays.stream(my_schema.fields())
                       .map(field -> field.name()+" "+field.dataType().typeName())
                       .collect(Collectors.joining(","));

//drop the table if already created
spark.sql("drop table if exists my_table");
//create the table using the dataframe schema
spark.sql("create table my_table(" + columns + ") 
    row format delimited fields terminated by '|' location '/my/hdfs/location'");
    //write the dataframe data to the hdfs location for the created Hive table
    my_DF.write()
    .format("com.databricks.spark.csv")
    .option("delimiter","|")
    .mode("overwrite")
    .save("/my/hdfs/location");

The other method using temp table

my_DF.createOrReplaceTempView("my_temp_table");
spark.sql("drop table if exists my_table");
spark.sql("create table my_table as select * from my_temp_table");

As per your question it looks like you want to create table in hive using your data-frame's schema. But as you are saying you have many columns in that data-frame so there are two options

• 1st is create direct hive table trough data-frame.
• 2nd is take schema of this data-frame and create table in hive.

Consider this code:

package hive.example

import org.apache.spark.SparkConf
import org.apache.spark.SparkContext
import org.apache.spark.sql.SQLContext
import org.apache.spark.sql.Row
import org.apache.spark.sql.SparkSession

object checkDFSchema extends App {
  val cc = new SparkConf;
  val sc = new SparkContext(cc)
  val sparkSession = SparkSession.builder().enableHiveSupport().getOrCreate()
  //First option for creating hive table through dataframe 
  val DF = sparkSession.sql("select * from salary")
  DF.createOrReplaceTempView("tempTable")
  sparkSession.sql("Create table yourtable as select * form tempTable")
  //Second option for creating hive table from schema
  val oldDFF = sparkSession.sql("select * from salary")
  //Generate the schema out of dataframe  
  val schema = oldDFF.schema
  //Generate RDD of you data 
  val rowRDD = sc.parallelize(Seq(Row(100, "a", 123)))
  //Creating new DF from data and schema 
  val newDFwithSchema = sparkSession.createDataFrame(rowRDD, schema)
  newDFwithSchema.createOrReplaceTempView("tempTable")
  sparkSession.sql("create table FinalTable AS select * from tempTable")
}