I am trying to create a dataframe from hive table using SparkSession like below. Once created I am filtering the rows by a list of Ids.
val myDF = spark.sql("select * from myhivetable")
val someDF = mfiDF.where(mfiDF("id").isin(myList:_*))
Instead of this approach is there a way I can query the hive table as below:
val myDF = spark.sql("select * from myhivetable").where (("id").isin(myList:_*))
When I try like this I am getting a compilation error.
Could someone suggest a best approach for this. Thanks.
You could also do an inner join to remove unwanted ids, something like below may work.
val ids = sc.parallelize(myList).toDF("id")
someDF.join(ids, ids.id === someDF.id)
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