pyspark Spark Dataframe时间戳列操作失败，没有任何错误消息

wdebmtf2 于 2022-12-03 发布在 Spark

关注(0)|答案(1)|浏览(117)

aggregate = aggregate.withColumn('DaysSinceFirstUsage', when(months_between(current_date(), col('FirstUsage')) > 120, - (sys.maxsize - 1)).otherwise(days_between(current_date(), col('FirstUsage')))

aggregate = aggregate.withColumn('DaysSinceLastUsage', when(months_between(current_date(), col('LastUsage')) > 120, - (sys.maxsize - 1)).otherwise(days_between(current_date(), col('LastUsage')))

pyspark

来源：https://stackoverflow.com/questions/74654360/spark-dataframe-timestamp-column-manipulation-failing-without-any-error-message

1条答案

按热度按时间

watbbzwu1#

愚蠢的错误：）结尾的右括号丢失，并且datediff错误地写为days_between。更正后查询运行良好。

aggregate = aggregate.withColumn('DaysSinceFirstUsage', when(months_between(current_date(), col('FirstUsage')) > 120, - (sys.maxsize - 1)).otherwise(datediff(current_date(), col('FirstUsage'))))
aggregate = aggregate.withColumn('DaysSinceLastUsage', when(months_between(current_date(), col('LastUsage')) > 120, - (sys.maxsize - 1)).otherwise(datediff(current_date(), col('LastUsage'))))

赞(0）回复(0）举报 2022-12-03

我来回答

pyspark Spark Dataframe时间戳列操作失败，没有任何错误消息

1条答案

相关问题

热门标签

最新问答