有一个很棒的pyspark包，它比较两个 Dataframe ，包的名字是datacompyhttps://capitalone.github.io/da...
for x in main_df.rdd.toLocalIterator: a = main_df["refer_array_col"] b = main_df["No"] some_x_filter = F.col('array_coulmn').isin(b) final_df = df.filter( # filter 1 some_x_filter & # second filter is to compare 'a' with array_column - i tried using F.array_contai...
有一个很棒的pyspark包，它比较两个 Dataframe ，包的名字是datacompyhttps://capitalone.github.io/da...
In PySpark, a join refers to merging data from two or more DataFrames based on a shared key or condition. This operation closely resembles the JOIN operation inSQLand is essential in data processing tasks that involve integrating data from various sources for analysis. Why Use Joins in PySpark?