dmtran created SPARK-21610:
------------------------------
Summary: Corrupt records are not handled properly when creating a
dataframe from a file
Key: SPARK-21610
URL: https://issues.apache.org/jira/browse/SPARK-21610
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 2.2.0, 2.0.2
Environment: macOs Sierra 10.12.5
Reporter: dmtran
Consider a jsonl file with 3 records. The third record has a value of type
string, instead of int.
{code}
echo '{"field": 1}
{"field": 2}
{"field": "3"}' >/tmp/sample.json
{code}
Create a dataframe from this file, with a schema that contains
"_corrupt_record" so that corrupt records are kept.
{code}
import org.apache.spark.sql.types._
val schema = new StructType()
.add("field", ByteType)
.add("_corrupt_record", StringType)
val file = "/tmp/sample.json"
val dfFromFile = spark.read.schema(schema).json(file)
{code}
Run the following lines from a spark-shell:
{code}
scala> dfFromFile.show(false)
+-----+---------------+
|field|_corrupt_record|
+-----+---------------+
|1 |null |
|2 |null |
|null |{"field": "3"} |
+-----+---------------+
scala> dfFromFile.filter($"_corrupt_record".isNotNull).count()
res1: Long = 0
scala> dfFromFile.filter($"_corrupt_record".isNull).count()
res2: Long = 3
{code}
The expected result is 1 corrupt record and 2 valid records, but the actual one
is 0 corrupt record and 3 valid records.
The bug is not reproduced if we create a dataframe from a RDD:
{code}
scala> val rdd = sc.textFile(file)
rdd: org.apache.spark.rdd.RDD[String] = /tmp/sample.json MapPartitionsRDD[92]
at textFile at <console>:28
scala> val dfFromRdd = spark.read.schema(schema).json(rdd)
dfFromRdd: org.apache.spark.sql.DataFrame = [field: tinyint, _corrupt_record:
string]
scala> dfFromRdd.show(false)
+-----+---------------+
|field|_corrupt_record|
+-----+---------------+
|1 |null |
|2 |null |
|null |{"field": "3"} |
+-----+---------------+
scala> dfFromRdd.filter($"_corrupt_record".isNotNull).count()
res5: Long = 1
scala> dfFromRdd.filter($"_corrupt_record".isNull).count()
res6: Long = 2
{code}
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