比较Pyspark中两个不同的dataframes中的两个arrays 我有两个dataframes,因为它有一个数组(字符串)列。 我正在尝试创建一个新的数据帧,它只过滤行中一个数组元素与另一个元素匹配的行。 #first dataframe main_df = spark.createDataFrame([('1', ['YYY', 'MZA']), ('2', ['XXX','YYY']), ('3'...
如果df2小到可以广播df1.join(broadcast(df2))会有更好的表现。第二个论点join()方法应该是连接条件。
有一个很棒的pyspark包，它比较两个 Dataframe ，包的名字是datacompyhttps://capitalone.github.io/da...
PySpark / Snowpark在左反连接问题期间随机列名把评论变成对别人有用的答案。leftanti类似于join功能，但...
Compare the DataFrames and make sure the actual result is the same as what's expectedWe need to create a SparkSession to create the DataFrames that'll be used in the test.Create a sparksession.py file with these contents:from pyspark.sql import SparkSession spark = (SparkSession.builder ...
Test and Validate Results:Always test the join operations with sample data and verify the results to guarantee accuracy. Compare the output of joins with expected results, mainly when dealing with intricate join conditions or sizable datasets. ...