[GitHub] [spark] IrishBird commented on pull request #34684: [SPARK-37442][SQL] InMemoryRelation statistics bug causing broadcast join failures with AQE enabled

[GitBox <gi...@apache.org>]

IrishBird commented on PR #34684:
URL: https://github.com/apache/spark/pull/34684#issuecomment-1236227362

   I have a question as to this.
   a. I have one text files that about 12G.  and this file have 5 columns, for my broadcast table, I only need to read 1 column, and I called the API :so to cache the subset DF into the memory and get size of the DF, it is only around 2G, so theoretically, it shall allow this DF to broadcast, so how the spark get the estimate the size of the dataframe?  
   
   df.cache.foreach(_ => ())
   val catalyst_plan = df.queryExecution.logical
   val df_size_in_bytes = spark.sessionState.executePlan(
       catalyst_plan).optimizedPlan.stats.sizeInBytes


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