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窗户功能/ Scala / Spark 1.6

[英]Window functions / scala / spark 1.6

I would like to use a window function in Scala. 我想在Scala中使用窗口函数。

I have a CSV file which is the following one : 我有一个CSV文件,它是以下文件:

id;date;value1
1;63111600000;100
1;63111700000;200
1;63154800000;300

When I try to apply a window function over this data frame, sometimes it works and sometimes it fails: 当我尝试在此数据框上应用窗口函数时,有时它可以工作,有时却失败:

val df = loadCSVFile() 
val tw = Window.orderBy(date).partitionBy(id).rangeBetween(-5356800000,0) 
df.withColumn(value1___min_2_month, min(df.col("value1")).over(tw))
+---+-----------+--------------------+
| id|       date|value1___min_2_month|
+---+-----------+--------------------+
|  1|63111600000|                 100|
|  1|63111700000|                 100|
|  1|63154800000|                 100|
+---+-----------+--------------------+

So it works ! 这样就行了! But when I try with a bigger number (which contains row of the previous exemple) I have the following result 但是,当我尝试使用更大的数字(包含上一个示例的行)时,我得到以下结果

val tw = 

Window.orderBy(date).partitionBy(id).rangeBetween(-8035200000,0) \n
df.withColumn(value1___min_3_month, min(df.col("value1")).over(tw)) 
+---+-----------+--------------------+
| id|       date|value1___min_3_month|
+---+-----------+--------------------+
|  1|63111600000|                null|
|  1|63111700000|                null|
|  1|63154800000|                null|
+---+-----------+--------------------+

Suffix your number with L : 在您的电话号码后缀L

scala> -10000000000
<console>:1: error: integer number too large
-10000000000
 ^

scala> -10000000000L
res0: Long = -10000000000

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