Kazuaki Ishizaki created SPARK-22935:
----------------------------------------
Summary: Dataset with Java Beans for java.sql.Date produces
incorrect result
Key: SPARK-22935
URL: https://issues.apache.org/jira/browse/SPARK-22935
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 2.2.1, 2.3.0
Reporter: Kazuaki Ishizaki
The following code prints {{c=0}}. The value of {{c}} must be 2. {ds} must not
be {{empty}}.
{code}
public void SPARK22935() {
Dataset<CDR> cdr = spark
.read()
.format("csv")
.option("header", "true")
.option("inferSchema", "true")
.option("delimiter", ";")
.csv("CDR_SAMPLE.csv")
.as(Encoders.bean(CDR.class));
Dataset<CDR> ds = cdr.filter((FilterFunction<CDR>) x -> (x.timestamp !=
null));
long c = ds.count();
cdr.show(2);
ds.show(2);
System.out.println("cnt=" + c);
}
// CDR.java
public class CDR implements java.io.Serializable {
public java.sql.Date timestamp;
}
// CDR_SAMPLE.csv
timestamp
2017-10-29T02:37:07.815Z
2017-10-29T02:38:07.815Z
{code}
result
{code}
+--------------------+
| timestamp|
+--------------------+
|2017-10-29 11:37:...|
|2017-10-29 11:38:...|
+--------------------+
+---------+
|timestamp|
+---------+
+---------+
c=0
{code}
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