Vitaly Gerasimov created SPARK-17806:
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Summary: Incorrect result when work with data from parquet
Key: SPARK-17806
URL: https://issues.apache.org/jira/browse/SPARK-17806
Project: Spark
Issue Type: Bug
Affects Versions: 2.0.1, 2.0.0
Reporter: Vitaly Gerasimov
Priority: Critical
{code}
import org.apache.spark.SparkConf
import org.apache.spark.sql.SparkSession
import org.apache.spark.sql.types.{StructField, StructType}
import org.apache.spark.sql.types.DataTypes._
val sc = SparkSession.builder().config(new
SparkConf().setMaster("local")).getOrCreate()
val jsonRDD = sc.sparkContext.parallelize(Seq(
"""{"a":1,"b":1,"c":1}""",
"""{"a":1,"b":1,"c":2}"""
))
sc.read.schema(StructType(Seq(
StructField("a", IntegerType),
StructField("b", IntegerType),
StructField("c", LongType)
))).json(jsonRDD).write.parquet("/tmp/test")
val df = sc.read.load("/tmp/test")
df.join(df, Seq("a", "b", "c"), "left_outer").show()
{code}
returns:
{code}
+---+---+---+
| a| b| c|
+---+---+---+
| 1| 1| 1|
| 1| 1| 1|
| 1| 1| 2|
| 1| 1| 2|
+---+---+---+
{code}
Expected result:
{code}
+---+---+---+
| a| b| c|
+---+---+---+
| 1| 1| 1|
| 1| 1| 2|
+---+---+---+
{code}
If I use this code without saving to parquet it works fine. If you change type
of `c` column to `IntegerType` it also works fine.
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