Hi Sushma,
can you try as below with a left anti join ..In my example name & id
consists of a key.
df1.alias("a").join(df2.alias("b"),
col("a.name").equalTo(col("b.name"))
.and(col("a.id").equalTo(col("b.id"))) ,
"left_anti").selectExpr("name", "id").show(10, false);
Regards,
Rishitesh Mishra,
SnappyData . (http://www.snappydata.io/)
https://in.linkedin.com/in/rishiteshmishra
On Thu, Nov 30, 2017 at 7:38 AM, sushma spark <sushma123.sp...@gmail.com>
wrote:
> Dear Friends,
>
> I am new to spark DataFrame. My requirement is i have a dataframe1
> contains the today's records and dataframe2 contains yesterday's records. I
> need to compare the today's records with yesterday's records and find out
> new records which are not exists in the yesterday's records based on the
> primary key of the column. Here, the problem is sometimes there are
> multiple columns having primary keys.
>
> I am receiving primary key columns in a List.
>
> example:
>
> List<String> primaryKeyList = listOfPrimarykeys; // single or multiple
> primary key columns
>
> DataFrame currentDataRecords = queryexecutor.getCurrentRecords(); // this
> contains today's records
> DataFrame yesterdayRecords = queryexecutor.getYesterdayRecords();// this
> contains yesterday's records
>
> Can you anyone help me how to join these two dataframes and apply WHERE
> conditions on columns dynamically with SPARK-JAVA code.
>
> Thanks
> Sushma
>
>
