TypeError: 'DataFrame' object is not callable - spark data frame

Question

i'm getting below error while executing the mentioned 'join' statement. i'm using pyspark setup. Any change required in the join statement or code.

TypeError: 'DataFrame' object is not callable

df11 = spark.read.option("header","true").option("delimiter", ",").csv("s3://mybucket/file1.csv")
df22 = spark.read.option("header","true").option("delimiter", ",").csv("s3://mybucket/file2.csv")
df11.createOrReplaceTempView("table1")
df22.createOrReplaceTempView("table2")
df1 = spark.sql( "select * from table1" )
df2 = spark.sql( "select * from table2" )

df_d = df1.join(df2, df1.NO == df2.NO, 'left').filter(F.isnull(df2.NO)).select(df1.NO,df1.NAME,df1.LAT,df1.LONG, F.lit('DELETE').alias('FLAG'))

Thanks

Answer 1

use the col names as string like this, it should work

df_d = df1.join(df2, df1['NO'] == df2['NO'], 'left').filter(F.isnull(df2['NO'])).select(df1['NO'],df1['NAME'],df1['LAT'],df1['LONG'], F.lit('DELETE').alias('FLAG'))