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https://issues.apache.org/jira/browse/SPARK-16239?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15354655#comment-15354655
]
Giuliano Caliari commented on SPARK-16239:
------------------------------------------
The issue seems to be that Date is being converted using the daylight savings.
It happens even when converting to Unix timestamp. Check the difference between
2014-10-04 and 2014-10-05.
{code:title=Date.scala|borderStyle=solid}
import org.apache.spark.sql.types.TimestampType
import org.apache.spark.sql.functions._
import org.apache.spark.sql.expressions.Window._
val dates =
Array("2014-10-03","2014-10-04","2014-10-05","2014-10-06","2014-10-07","2015-04-03","2015-04-04","2015-04-05","2015-04-06","2015-10-02","2015-10-03",
"2015-10-04")
val wSpec = orderBy("txn_date")
val df = sc.parallelize(dates)
.toDF("txn_date")
.select(
col("txn_date").cast("Date")
)
.select(
col("txn_date"),
unix_timestamp(col("txn_date")).cast("Long").alias("txn_date_millis"),
from_unixtime(unix_timestamp(col("txn_date"))).alias("txn_date_millis_date")
)
.select(
col("*"),
((col("txn_date_millis") -
lag("txn_date_millis",1).over(wSpec)) / 60 /
60).alias("previous_day_diff_in_hours")
)
.show()
{code}
Results:
{noformat}
+----------+---------------+--------------------+--------------------------+
| txn_date|txn_date_millis|txn_date_millis_date|previous_day_diff_in_hours|
+----------+---------------+--------------------+--------------------------+
|2014-10-03| 1412258400| 2014-10-03 00:00:00| null|
|2014-10-04| 1412344800| 2014-10-04 00:00:00| 24.0|
|2014-10-05| 1412427600| 2014-10-04 23:00:00| 23.0|
|2014-10-06| 1412514000| 2014-10-06 00:00:00| 24.0|
|2014-10-07| 1412600400| 2014-10-07 00:00:00| 24.0|
|2015-04-03| 1427979600| 2015-04-03 00:00:00| 4272.0|
|2015-04-04| 1428066000| 2015-04-04 00:00:00| 24.0|
|2015-04-05| 1428156000| 2015-04-05 01:00:00| 25.0|
|2015-04-06| 1428242400| 2015-04-06 00:00:00| 24.0|
|2015-10-02| 1443708000| 2015-10-02 00:00:00| 4296.0|
|2015-10-03| 1443794400| 2015-10-03 00:00:00| 24.0|
|2015-10-04| 1443877200| 2015-10-03 23:00:00| 23.0|
+----------+---------------+--------------------+--------------------------+
{noformat}
> SQL issues with cast from date to string around daylight savings time
> ---------------------------------------------------------------------
>
> Key: SPARK-16239
> URL: https://issues.apache.org/jira/browse/SPARK-16239
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.6.1
> Reporter: Glen Maisey
> Priority: Critical
>
> Hi all,
> I have a dataframe with a date column. When I cast to a string using the
> spark sql cast function it converts it to the wrong date on certain days.
> Looking into it, it occurs once a year when summer daylight savings starts.
> I've tried to show this issue the code below. The toString() function works
> correctly whereas the cast does not.
> Unfortunately my users are using SQL code rather than scala dataframes and
> therefore this workaround does not apply. This was actually picked up where a
> user was writing something like "SELECT date1 UNION ALL select date2" where
> date1 was a string and date2 was a date type. It must be implicitly
> converting the date to a string which gives this error.
> I'm in the Australia/Sydney timezone (see the time changes here
> http://www.timeanddate.com/time/zone/australia/sydney)
> val dates =
> Array("2014-10-03","2014-10-04","2014-10-05","2014-10-06","2015-10-02","2015-10-03",
> "2015-10-04", "2015-10-05")
> val df = sc.parallelize(dates)
> .toDF("txn_date")
> .select(col("txn_date").cast("Date"))
> df.select(
> col("txn_date"),
> col("txn_date").cast("Timestamp").alias("txn_date_timestamp"),
> col("txn_date").cast("String").alias("txn_date_str_cast"),
> col("txn_date".toString()).alias("txn_date_str_toString")
> )
> .show()
> +----------+--------------------+-----------------+---------------------+
> | txn_date| txn_date_timestamp|txn_date_str_cast|txn_date_str_toString|
> +----------+--------------------+-----------------+---------------------+
> |2014-10-03|2014-10-02 14:00:...| 2014-10-03| 2014-10-03|
> |2014-10-04|2014-10-03 14:00:...| 2014-10-04| 2014-10-04|
> |2014-10-05|2014-10-04 13:00:...| 2014-10-04| 2014-10-05|
> |2014-10-06|2014-10-05 13:00:...| 2014-10-06| 2014-10-06|
> |2015-10-02|2015-10-01 14:00:...| 2015-10-02| 2015-10-02|
> |2015-10-03|2015-10-02 14:00:...| 2015-10-03| 2015-10-03|
> |2015-10-04|2015-10-03 13:00:...| 2015-10-03| 2015-10-04|
> |2015-10-05|2015-10-04 13:00:...| 2015-10-05| 2015-10-05|
> +----------+--------------------+-----------------+---------------------+
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