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[SPARK-18269][SQL] CSV datasource should read null properly when schema is lager than parsed tokens #15767

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HyukjinKwon wants to merge 7 commits into from
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[SPARK-18269][SQL] CSV datasource should read null properly when schema is lager than parsed tokens #15767

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3692099
Take the case of null into account
HyukjinKwon Nov 4, 2016
e1c58c1
minimise the change
HyukjinKwon Nov 4, 2016
4132075
Indentation
HyukjinKwon Nov 4, 2016
c0667d1
Make the condition better
HyukjinKwon Nov 5, 2016
b913eac
No extra change
HyukjinKwon Nov 5, 2016
e5146e3
address the comment for condition and exception
HyukjinKwon Nov 5, 2016
aa89171
Print field name in the exception message
HyukjinKwon Nov 6, 2016
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Make the condition better
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@HyukjinKwon
HyukjinKwon committed Nov 5, 2016
commit c0667d1e31e6eed04bb0be1be0eef0f86fba1bb7
4 changes: 2 additions & 2 deletions sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/csv/CSVInferSchema.scala
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Expand Up @@ -231,8 +231,8 @@ private[csv] object CSVTypeCast {
castType: DataType,
nullable: Boolean = true,
options: CSVOptions = CSVOptions()): Any = {

if (datum == null || nullable && datum == options.nullValue) {
val isNull = datum == options.nullValue || datum == null
if (nullable && isNull) {
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@rxin rxin Nov 5, 2016

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isn't this more clear if you do

// datum can be null if the number of fields found is less than the length of the schema
if (datum == options.nullValue || datum == null) {
  if (!nullable) {
    throw some exception saying field is not null but null value found
  }
  null
} else {
  ..
}

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@rxin rxin Nov 5, 2016

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I'd also add a null validation test.

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@HyukjinKwon HyukjinKwon Nov 5, 2016

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Sure, I will.

null
} else {
castType match {
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