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Frank Oosterhuis commented on SPARK-32051: ------------------------------------------ This is fine: {code:java} spark.range(100) .select( concat(lit("d"), col("id")).as("db"), concat(lit("t"), col("id")).as("table") ) .foreach((r : Row) => { val sql = "drop table %s.%s".format(r.getAs("db"), r.getAs("table")) println(sql) }) {code} This breaks: {code:java} spark.range(100) .select( concat(lit("d"), col("id")).as("db"), concat(lit("t"), col("id")).as("table") ) .foreach((r : Row) => { val sql = "drop table %s.%s".format(r.getAs("db"), r.getAs("table")) spark.sql(sql) }) {code} > Dataset.foreachPartition returns object > --------------------------------------- > > Key: SPARK-32051 > URL: https://issues.apache.org/jira/browse/SPARK-32051 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 3.0.0 > Reporter: Frank Oosterhuis > Priority: Major > > I'm trying to map values from the Dataset[Row], but since 3.0.0 this fails. > In 3.0.0 I'm dealing with an error: "Error:(28, 38) value map is not a member > of Object" > > This is the simplest code that works in 2.4.x, but fails in 3.0.0: > {code:scala} > spark.range(100) > .repartition(10) > .foreachPartition(part => println(part.toList)) > {code} -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org