Filtering a Pyspark DataFrame with SQL-like IN clause

Question

I want to filter a Pyspark DataFrame with a SQL-like IN clause, as in

sc = SparkContext()
sqlc = SQLContext(sc)
df = sqlc.sql(\'SELECT * from my         


        

Answer 1

Just a little addition/update:

choice_list = ["foo", "bar", "jack", "joan"]

If you want to filter your dataframe "df", such that you want to keep rows based upon a column "v" taking only the values from choice_list, then

df_filtered = df.where( ( col("v").isin (choice_list) ) )