Scala Floor A Spark Column

Column id beside using the implicits conversions you can create columns using col and column functions.

Scala floor a spark column.

If you are not familiar with intellij and scala feel free to review our previous tutorials on intellij and scala. The following example creates a dataframe by pointing spark sql to a parquet data set. Thanks for the votes. 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.

Column id idcol. 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. In this section we will show how to use apache spark using intellij ide and scala the apache spark eco system is moving at a fast pace and the tutorial will demonstrate the features of the latest apache spark 2 version. Using spark dataframe withcolumn to rename nested columns.

Val people sqlcontext read parquet in scala dataframe people sqlcontext read parquet in java. 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. Below example creates a fname column from name firstname and drops the name column.

Though really this is not the best answer i think the solutions based on withcolumn withcolumnrenamed and cast put forward by msemelman martin senne and others are simpler and cleaner. 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. Column the target type triggers the implicit conversion to column scala val idcol. So let s get started.

I am trying to take my input data. 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.