Scala Floor A Spark Column

Thanks for the votes.

Scala floor a spark column. Add column to dataframe conditionally 2. I think your approach is ok recall that a spark dataframe is an immutable rdd of rows so we re never really replacing a column just creating new dataframe each. A distributed collection of data organized into named columns. A b c 4 blah 2 2 3 56 foo 3 and add a column to the end based on whether b is empty or not.

I am trying to take my input data. Using spark dataframe withcolumn to rename nested columns. A dataframe is equivalent to a relational table in spark sql. The internal catalyst expression can be accessed via expr but this method is for debugging purposes only and can change in any future spark releases.

Column the target type triggers the implicit conversion to column scala val idcol. So let s get started. When you have nested columns on spark datframe and if you want to rename it use withcolumn on a data frame object to create a new column from an existing and we will need to drop the existing column. Scala iterate though columns of a spark dataframe and update specified values stack overflow to iterate through columns of a spark dataframe created from hive table and update all occurrences of desired column values i tried the following code.

Val people sqlcontext read parquet in scala dataframe people sqlcontext read parquet in java. The following example creates a dataframe by pointing spark sql to a parquet data set. Column id beside using the implicits conversions you can create columns using col and column functions. Below example creates a fname column from name firstname and drops the name column.

Column id idcol. If you are not familiar with intellij and scala feel free to review our previous tutorials on intellij and scala.