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## What changes were proposed in this pull request? This PR aims to fix the following SparkR example in Spark 2.3.0 ~ 2.4.0. ```r > df <- read.df("examples/src/main/resources/people.csv", "csv") > namesAndAges <- select(df, "name", "age") ... Caused by: org.apache.spark.sql.AnalysisException: cannot resolve '`name`' given input columns: [_c0];; 'Project ['name, 'age] +- AnalysisBarrier +- Relation[_c0#97] csv ``` - https://dist.apache.org/repos/dist/dev/spark/v2.4.0-rc3-docs/_site/sql-programming-guide.html#manually-specifying-options - http://spark.apache.org/docs/2.3.2/sql-programming-guide.html#manually-specifying-options - http://spark.apache.org/docs/2.3.1/sql-programming-guide.html#manually-specifying-options - http://spark.apache.org/docs/2.3.0/sql-programming-guide.html#manually-specifying-options ## How was this patch tested? Manual test in SparkR. (Please note that `RSparkSQLExample.R` fails at the last JDBC example) ```r > df <- read.df("examples/src/main/resources/people.csv", "csv", sep=";", inferSchema=T, header=T) > namesAndAges <- select(df, "name", "age") ``` Closes #22791 from dongjoon-hyun/SPARK-25795. Authored-by: Dongjoon Hyun <dongjoon@apache.org> Signed-off-by: Dongjoon Hyun <dongjoon@apache.org> |
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pom.xml |