Solutions For Errors

To filter a single DataFrame column with multiple values 

Filter using Spark.Sql 
DataFrame.registerTempTable("tempDfTable")
SqlContext.Sql("""Select * from tempDfTable where tempDfTable.column=1 and tempDfTable.column!=0 """)

Filter a DataFrame column directly
DataFrame.filter(col("column1").equalTo(1) && col("column1").equalTo(not(0)))

Filter using $
Before using $ symbol import namespace - import sql.implicits_
DataFrame.filter($("column1" == 1))

If you are using a Spark dataframe, you can filter Spark DataFrame using Scala with Spark.Sql in an easy way like below:

Filter a DataFrame which contains ""
DataFrame.registerTempTable("tempDfTable")
SqlContext.Sql("""Select * from tempDfTable where tempDfTable.col!="" """)

Filter a DataFrame column which contains null
DataFrame.registerTempTable("tempDfTable")
SqlContext.Sql("""Select * from tempDfTable where tempDfTable.col is null """)

You can write this statement with Single Quotes also
SqlContext.Sql("Select * from tempDfTable where tempDfTable.col is null")

Filter a DataFrame column which will not contain null values
DataFrame.registerTempTable("tempDfTable")
SqlContext.Sql("""Select * from tempDfTable where tempDfTable.col is not null """)

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