类型错误：“DataFrame”对象不可调用 - Spark 数据框

Question

我在执行上述“join”语句时遇到以下错误。我正在使用 pyspark 设置。join 语句或代码中所需的任何更改。

类型错误：“DataFrame”对象不可调用

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'))

谢谢

Answer 1

像这样使用列名称作为字符串，它应该可以工作

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'))