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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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minimise the change
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@HyukjinKwon
HyukjinKwon committed Nov 4, 2016
commit e1c58c1f5b2885578defa2fd978836c36e6bab73
7 changes: 3 additions & 4 deletions sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/csv/CSVSuite.scala
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Expand Up @@ -893,11 +893,10 @@ class CSVSuite extends QueryTest with SharedSQLContext with SQLTestUtils {

test("load null when the schema is larger than parsed tokens ") {
withTempPath { path =>
val schema = StructType(Array(
StructField("a", IntegerType, nullable = true),
StructField("b", IntegerType, nullable = true)
))
Seq("1").toDF().write.text(path.getAbsolutePath)
val schema = StructType(
StructField("a", IntegerType, true) ::
StructField("b", IntegerType, true) :: Nil)
val df = spark.read
.schema(schema)
.option("header", "false")
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