Hyukjin Kwon created SPARK-17665:
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Summary: SparkR supports options in other types consistently other
APIs
Key: SPARK-17665
URL: https://issues.apache.org/jira/browse/SPARK-17665
Project: Spark
Issue Type: Improvement
Reporter: Hyukjin Kwon
Priority: Minor
Currently, SparkR only supports a string as option in some APIs such as
`read.df`/`write.df` and etc.
It'd be great if they support other types consistently with
Python/Scala/Java/SQL APIs.
- Python supports all types but converts it to string
- Scala/Java/SQL - Long/Boolean/String/Double.
Currently,
{code}
> read.df("text.json", "csv", inferSchema=FALSE)
{code}
throws an exception as below:
{code}
Error in value[[3L]](cond) :
Error in invokeJava(isStatic = TRUE, className, methodName, ...):
java.lang.ClassCastException: java.lang.Boolean cannot be cast to
java.lang.String
at
org.apache.spark.sql.internal.SessionState$$anonfun$newHadoopConfWithOptions$1.apply(SessionState.scala:59)
at
org.apache.spark.sql.internal.SessionState$$anonfun$newHadoopConfWithOptions$1.apply(SessionState.scala:59)
at scala.collection.immutable.Map$Map3.foreach(Map.scala:161)
at
org.apache.spark.sql.internal.SessionState.newHadoopConfWithOptions(SessionState.scala:59)
at
org.apache.spark.sql.execution.datasources.PartitioningAwareFileCatalog.<init>(PartitioningAwareFileCatalog.scala:45)
at
org.apache.spark.sql.execution.datasources.ListingFileCatalog.<init>(ListingFileCatalog.scala:45)
at
org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:401)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:149)
at org.apache.spark.sql.DataFrameReader.lo
{code}
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