SHAILENDRA SHAHANE created SPARK-24496:
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Summary: CLONE - JSON data source fails to infer floats as decimal
when precision is bigger than 38 or scale is bigger than precision.
Key: SPARK-24496
URL: https://issues.apache.org/jira/browse/SPARK-24496
Project: Spark
Issue Type: Bug
Components: SQL
Reporter: SHAILENDRA SHAHANE
Assignee: Hyukjin Kwon
Fix For: 2.0.0
Currently, JSON data source supports {{floatAsBigDecimal}} option, which reads
floats as {{DecimalType}}.
I noticed there are several restrictions in Spark {{DecimalType}} below:
1. The precision cannot be bigger than 38.
2. scale cannot be bigger than precision.
However, with the option above, it reads {{BigDecimal}} which does not follow
the conditions above.
This could be observed as below:
{code}
def simpleFloats: RDD[String] =
sqlContext.sparkContext.parallelize(
"""{"a": 0.01}""" ::
"""{"a": 0.02}""" :: Nil)
val jsonDF = sqlContext.read
.option("floatAsBigDecimal", "true")
.json(simpleFloats)
jsonDF.printSchema()
{code}
throws an exception below:
{code}
org.apache.spark.sql.AnalysisException: Decimal scale (2) cannot be greater
than precision (1).;
at org.apache.spark.sql.types.DecimalType.<init>(DecimalType.scala:44)
at
org.apache.spark.sql.execution.datasources.json.InferSchema$.org$apache$spark$sql$execution$datasources$json$InferSchema$$inferField(InferSchema.scala:144)
at
org.apache.spark.sql.execution.datasources.json.InferSchema$.org$apache$spark$sql$execution$datasources$json$InferSchema$$inferField(InferSchema.scala:108)
at
org.apache.spark.sql.execution.datasources.json.InferSchema$$anonfun$1$$anonfun$apply$1$$anonfun$apply$3.apply(InferSchema.scala:59)
at
org.apache.spark.sql.execution.datasources.json.InferSchema$$anonfun$1$$anonfun$apply$1$$anonfun$apply$3.apply(InferSchema.scala:57)
at org.apache.spark.util.Utils$.tryWithResource(Utils.scala:2249)
at
org.apache.spark.sql.execution.datasources.json.InferSchema$$anonfun$1$$anonfun$apply$1.apply(InferSchema.scala:57)
at
org.apache.spark.sql.execution.datasources.json.InferSchema$$anonfun$1$$anonfun$apply$1.apply(InferSchema.scala:55)
at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:396)
at scala.collection.Iterator$class.foreach(Iterator.scala:742)
...
{code}
Since JSON data source infers {{DataType}} as {{StringType}} when it fails to
infer, it might have to be inferred as {{StringType}} or maybe just simply
{{DoubleType}}
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