See related thread on using Joda DateTime: http://search-hadoop.com/m/q3RTtSfi342nveex1&subj=RE+NPE+ when+using+Joda+DateTime
On Mon, Feb 1, 2016 at 7:44 PM, Kevin Mellott <kevin.r.mell...@gmail.com> wrote: > I've had pretty good success using Joda-Time > <http://www.joda.org/joda-time/index.html> for date/time manipulations > within Spark applications. You may be able to use the *DateTIme* constructor > below, if you are starting with milliseconds. > > DateTime > > public DateTime(long instant) > > Constructs an instance set to the milliseconds from 1970-01-01T00:00:00Z > using ISOChronology in the default time zone. > Parameters:instant - the milliseconds from 1970-01-01T00:00:00Z > > On Mon, Feb 1, 2016 at 5:51 PM, Andy Davidson < > a...@santacruzintegration.com> wrote: > >> What little I know about working with timestamps is based on >> https://databricks.com/blog/2015/09/16/spark-1-5-dataframe-api-highlights-datetimestring-handling-time-intervals-and-udafs.html >> >> Using the example of dates formatted into human friend strings -> >> timeStamps I was able to figure out how to convert Epoch times to >> timestamps. The same trick did not work for millisecond times. >> >> Any suggestions would be greatly appreciated. >> >> >> Andy >> >> Working with epoch times >> <http://localhost:8888/notebooks/sparkTimeSeriesExperiments.ipynb#Working-with-epock-times> >> >> ref: http://www.epochconverter.com/ >> >> Epoch timestamp: 1456050620 >> >> Timestamp in milliseconds: 1456050620000 >> >> Human time (GMT): Sun, 21 Feb 2016 10:30:20 GMT >> >> Human time (your time zone): 2/21/2016, 2:30:20 AM >> >> >> # Epoch time stamp example >> >> data = [ >> >> ("1456050620", "1456050621", 1), >> >> ("1456050622", "14560506203", 2), >> >> ("14560506204", "14560506205", 3)] >> >> df = sqlContext.createDataFrame(data, ["start_time", "end_time", "id"]) >> >> >> >> # convert epoch time strings in to spark timestamps >> >> df = df.select( >> >> df.start_time.cast("long").alias("start_time"), >> >> df.end_time.cast("long").alias("end_time"), >> >> df.id) >> >> df.printSchema() >> >> df.show(truncate=False) >> >> >> >> # convert longs to timestamps >> >> df = df.select( >> >> df.start_time.cast("timestamp").alias("start_time"), >> >> df.end_time.cast("timestamp").alias("end_time"), >> >> df.id) >> >> df.printSchema() >> >> df.show(truncate=False) >> >> >> >> root >> |-- start_time: long (nullable = true) >> |-- end_time: long (nullable = true) >> |-- id: long (nullable = true) >> >> +-----------+-----------+---+ >> |start_time |end_time |id | >> +-----------+-----------+---+ >> |1456050620 |1456050621 |1 | >> |1456050622 |14560506203|2 | >> |14560506204|14560506205|3 | >> +-----------+-----------+---+ >> >> root >> |-- start_time: timestamp (nullable = true) >> |-- end_time: timestamp (nullable = true) >> |-- id: long (nullable = true) >> >> +---------------------+---------------------+---+ >> |start_time |end_time |id | >> +---------------------+---------------------+---+ >> |2016-02-21 02:30:20.0|2016-02-21 02:30:21.0|1 | >> |2016-02-21 02:30:22.0|2431-05-28 02:03:23.0|2 | >> |2431-05-28 02:03:24.0|2431-05-28 02:03:25.0|3 | >> +---------------------+---------------------+---+ >> >> >> In [21]: >> >> # working with millisecond times >> >> data = [ >> >> ("1456050620000", "1456050620000", 1)] >> >> df = sqlContext.createDataFrame(data, ["start_time", "end_time", "id"]) >> >> >> >> # convert epoch time strings in to spark timestamps >> >> df = df.select( >> >> df.start_time.cast("long").alias("start_time"), >> >> df.end_time.cast("long").alias("end_time"), >> >> df.id) >> >> df.printSchema() >> >> df.show(truncate=False) >> >> >> >> # convert longs to timestamps >> >> df = df.select( >> >> df.start_time.cast("timestamp").alias("start_time"), >> >> df.end_time.cast("timestamp").alias("end_time"), >> >> df.id) >> >> df.printSchema() >> >> df.show(truncate=False) >> >> root >> |-- start_time: long (nullable = true) >> |-- end_time: long (nullable = true) >> |-- id: long (nullable = true) >> >> +-------------+-------------+---+ >> |start_time |end_time |id | >> +-------------+-------------+---+ >> |1456050620000|1456050620000|1 | >> +-------------+-------------+---+ >> >> root >> |-- start_time: timestamp (nullable = true) >> |-- end_time: timestamp (nullable = true) >> |-- id: long (nullable = true) >> >> +----------------------+----------------------+---+ >> |start_time |end_time |id | >> +----------------------+----------------------+---+ >> |48110-05-29 10:33:20.0|48110-05-29 10:33:20.0|1 | >> +----------------------+----------------------+---+ >> >> >> >
