Hi,

Replied to you on StackOverflow
http://stackoverflow.com/questions/37180715/how-to-cache-dataframe-in-apache-ignite/37192299#37192299
 
<http://stackoverflow.com/questions/37180715/how-to-cache-dataframe-in-apache-ignite/37192299#37192299>

> On May 12, 2016, at 11:12 AM, Vignesh Irulappan <[email protected]> wrote:
> 
> Hello,
>  
> I am writing a code to cache RDBMS data using spark SQLContext JDBC 
> connection. Once a Dataframe is created I want to cache that reusltset using 
> apache ignite thereby making other applications to make use of the resultset. 
> Here is the code snippet.
>  
> object test
> {
>  
>   def main(args:Array[String])
>   {
>  
>       val configuration = new Configuration()
>       val config="src/main/scala/config.xml"
>     
>       val sparkConf = new SparkConf().setAppName("test").setMaster("local[*]")
>       val sc=new SparkContext(sparkConf)
>       val sqlContext = new org.apache.spark.sql.SQLContext(sc)
>       val sql_dump1=sqlContext.read.format("jdbc").option("url", "jdbc 
> URL").option("driver", "com.mysql.jdbc.Driver").option("dbtable", 
> mysql_table_statement).option("user", "username").option("password", 
> "pass").load()
>      
>       val ic = new IgniteContext[Integer, Integer](sc, config)
>       
>       val sharedrdd = ic.fromCache("hbase_metadata")
>       
>       //How to cache sql_dump1 dataframe
>  
>   }
> }
>  
> Now the question is how to cache a dataframe, IgniteRDD has savepairs method 
> but it accepts key and value as RDD[Integer], but I have a dataframe even if 
> I convert that to RDD i would only be getting RDD[Row]. The savepairs method 
> consisting of RDD of Integer more specific what if I have a string of RDD as 
> value? Is it good to cache dataframe or any other better approach to cache 
> the resultset.
>  
> Thanks and Regards,
> Vignesh
> 
> 
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