Thanks Silvio.
The problem I have is that somehow string comparison does not work.
Case in point
val df =
sqlContext.read.format("com.databricks.spark.csv").option("inferSchema",
"true").option("header", "true").load("/data/stg/table2")
val current_date = sqlContext.sql("SELECT FROM_unixtime(unix_timestamp(),
'dd/MM/yyyy') ").collect.apply(0).getString(0)
df.filter(*lit(current_date) < col("Payment
date"*)).select(lit(current_date).alias("current_date"),
col("Payment date").alias("PaymentDate")).show(5)
It selects all the rows that are less than today's date (they are old).
+------------+-----------+
|current_date|PaymentDate|
+------------+-----------+
| 22/03/2016| 24/02/2014|
| 22/03/2016| 24/03/2014|
| 22/03/2016| 31/03/2015|
| 22/03/2016| 28/04/2014|
| 22/03/2016| 26/05/2014|
+------------+-----------+
I don't know why this comparison is failing. May be it is comparing the
first two leftmost characters?
Thanks
Dr Mich Talebzadeh
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On 22 March 2016 at 00:26, Silvio Fiorito <silvio.fior...@granturing.com>
wrote:
> There’s a months_between function you could use, as well:
>
> df.filter(months_between(current_date, $”Payment Date”) > 6).show
>
> From: Mich Talebzadeh <mich.talebza...@gmail.com>
> Date: Monday, March 21, 2016 at 5:53 PM
> To: "user @spark" <user@spark.apache.org>
> Subject: Work out date column in CSV more than 6 months old (datediff or
> something)
>
> Hi,
>
> For test purposes I am reading in a simple csv file as follows:
>
> val df =
> sqlContext.read.format("com.databricks.spark.csv").option("inferSchema",
> "true").option("header", "true").load("/data/stg/table2")
> df: org.apache.spark.sql.DataFrame = [Invoice Number: string, Payment
> date: string, Net: string, VAT: string, Total: string]
>
> For this work I am interested in column "Payment Date" > 6 months old from
> today
>
> Data is stored in the following format for that column
>
> scala> df.select("Payment date").take(2)
> res40: Array[org.apache.spark.sql.Row] = Array([10/02/2014], [17/02/2014])
>
> stored as 'dd/MM/yyyy'
>
> The current time I get as
>
> scala> val today = sqlContext.sql("SELECT FROM_unixtime(unix_timestamp(),
> 'dd/MM/yyyy') ").collect.apply(0).getString(0)
> today: String = 21/03/2016
>
>
> So I want to filter the csv file
>
> scala> df.filter(col("Payment date") < lit(today)).show(2)
> +--------------+------------+---------+-----+---------+
> |Invoice Number|Payment date| Net| VAT| Total|
> +--------------+------------+---------+-----+---------+
> | 360| 10/02/2014|?2,500.00|?0.00|?2,500.00|
> | 361| 17/02/2014|?2,500.00|?0.00|?2,500.00|
> +--------------+------------+---------+-----+---------+
>
>
> However, I want to use datediff() function here not just < today!
>
>
> Obviously one can store the file as a table and use SQL on it. However, I
> want to see if there are other ways using fp.
>
> Thanks
>
> Dr Mich Talebzadeh
>
>
>
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