[jira] [Created] (SPARK-25948) Spark load floating point number is automatically rounded to an integer

[e (JIRA)]

e created SPARK-25948:
-------------------------

             Summary: Spark load floating point number is automatically rounded 
to an integer
                 Key: SPARK-25948
                 URL: https://issues.apache.org/jira/browse/SPARK-25948
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 2.3.0
         Environment: redshift 

java 1.8.0_192 (oracle)
 scala 2.11.12
 spark 2.3.0
            Reporter: e


When you use spark load redshift to aggregate data, the floating point number 
is automatically rounded to an integer.

{code:sql}
drop table  tmp.t1 ;
create table tmp.t1 (
id varchar(16),
quantity integer,
amount numeric(25,4)
)
;
insert into tmp.t1 values ('a1',1,11);
insert into tmp.t1 values ('a1',1,11.2);
insert into tmp.t1 values ('a1',2,2.74);
{code}

{code:scala}
val ss = SparkSession.builder()
    .appName("tmp")
    .master("local[12]")
    .getOrCreate()

  val database="REDSHIFT"
  val dconfig=GetConf()

  val sql=
    """
      |(select  sum(amount*quantity ) amount,sysdate load_time  from tmp.t1)
    """.stripMargin

  val df = ss.read.format("jdbc").options(Map(
    "url" ->  JdbcUrl(database),
    "user" -> dconfig.getString(s"$database.CONN_USER"),
    "password"  ->  dconfig.getString(s"$database.CONN_PASSWORD"),
    "driver"  ->  dconfig.getString(s"$database.CONN_DRIVER"),
    "dbtable"-> sql
  )).load().repartition(1)

  println(df.show(false))

result：

+------+--------------------------+
|amount|load_time                 |
+------+--------------------------+
|28    |2018-11-06 14:12:46.184986|
+------+--------------------------+

{code}





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