Reputation: 206
I am trying to calculate the Date Diff between a column field and current date of the system.
Here is my sample code where I have hard coded the my column field with 20170126.
val currentDate = java.time.LocalDate.now
var datediff = spark.sqlContext.sql("""Select datediff(to_date('$currentDate'),to_date(DATE_FORMAT(CAST(unix_timestamp( cast('20170126' as String), 'yyyyMMdd') AS TIMESTAMP), 'yyyy-MM-dd'))) AS GAP
""")
datediff.show()
Output is like:
+----+
| GAP|
+----+
|null|
+----+
I need to calculate actual Gap Between the two dates but getting NULL
.
Upvotes: 1
Views: 5425
Reputation: 74669
You have not defined the type and format of "column field" so I assume it's a string in the (not-very-pleasant) format YYYYMMdd
.
val records = Seq((0, "20170126")).toDF("id", "date")
scala> records.show
+---+--------+
| id| date|
+---+--------+
| 0|20170126|
+---+--------+
scala> records
.withColumn("year", substring($"date", 0, 4))
.withColumn("month", substring($"date", 5, 2))
.withColumn("day", substring($"date", 7, 2))
.withColumn("d", concat_ws("-", $"year", $"month", $"day"))
.select($"id", $"d" cast "date")
.withColumn("datediff", datediff(current_date(), $"d"))
.show
+---+----------+--------+
| id| d|datediff|
+---+----------+--------+
| 0|2017-01-26| 83|
+---+----------+--------+
PROTIP: Read up on functions object.
Please note that I could not convince Spark SQL to cast
the column "date" to DateType
given the rules in DateTimeUtils.stringToDate:
yyyy
,yyyy-[m]m
yyyy-[m]m-[d]d
yyyy-[m]m-[d]d
yyyy-[m]m-[d]d *
yyyy-[m]m-[d]dT*
I could not convince date_format
to work either so I parsed "date" column myself using substring
and concat_ws
functions.
Upvotes: 3