unix_timestamp of pyspark.sql.functions get null only for the majority of values












0















I try to convert a columns from string to timestamp with this code



from pyspark.sql import SparkSession
from pyspark.sql.functions import sum, avg, count, first, col
from pyspark.sql.functions import unix_timestamp, col, datediff
import csv

if __name__ == "__main__":
spark = SparkSession
.builder
.config("spark.some.config.option", "some-value")
.getOrCreate()
df=spark.read.csv("inSETP11.csv")
df = df.selectExpr('_c0 as USER_ID', '_c1 as timestamp', '_c2 as location')
df.show()
df = df.withColumn('timestamp', unix_timestamp('timestamp', 'yyyy-mm-dd hh:mm:ss'))
df.show()


but i get null (the function return a value only for some)



+-------+---------+--------+
|USER_ID|timestamp|location|
+-------+---------+--------+
| 1| null| 321|
| 1|1359262.2| 386|
| 1|1359271.2| 386|
| 1|1359273.6| 386|
| 1|1359273.6| 386|
| 1|1359274.8| 386|
| 1|1359281.4| 386|
| 1|1359282.0| 386|
| 1| null| 386|
| 1| null| 386|
| 1| null| 386|
| 1| null| 386|
+-------+---------+--------+


how to fix this ?, where is the problem ?



keyword : python apache-spark pyspark unix-timestamp










share|improve this question


















  • 3





    Can you show the raw data inSETP11.csv? null is when the format does not match.

    – Jacek Laskowski
    Nov 21 '18 at 10:37











  • I feel you are selecting wrong columns. Try, df = df.withColumn('timestamp', col('timestamp).cast(DoubleType())

    – karma4917
    Nov 21 '18 at 16:30


















0















I try to convert a columns from string to timestamp with this code



from pyspark.sql import SparkSession
from pyspark.sql.functions import sum, avg, count, first, col
from pyspark.sql.functions import unix_timestamp, col, datediff
import csv

if __name__ == "__main__":
spark = SparkSession
.builder
.config("spark.some.config.option", "some-value")
.getOrCreate()
df=spark.read.csv("inSETP11.csv")
df = df.selectExpr('_c0 as USER_ID', '_c1 as timestamp', '_c2 as location')
df.show()
df = df.withColumn('timestamp', unix_timestamp('timestamp', 'yyyy-mm-dd hh:mm:ss'))
df.show()


but i get null (the function return a value only for some)



+-------+---------+--------+
|USER_ID|timestamp|location|
+-------+---------+--------+
| 1| null| 321|
| 1|1359262.2| 386|
| 1|1359271.2| 386|
| 1|1359273.6| 386|
| 1|1359273.6| 386|
| 1|1359274.8| 386|
| 1|1359281.4| 386|
| 1|1359282.0| 386|
| 1| null| 386|
| 1| null| 386|
| 1| null| 386|
| 1| null| 386|
+-------+---------+--------+


how to fix this ?, where is the problem ?



keyword : python apache-spark pyspark unix-timestamp










share|improve this question


















  • 3





    Can you show the raw data inSETP11.csv? null is when the format does not match.

    – Jacek Laskowski
    Nov 21 '18 at 10:37











  • I feel you are selecting wrong columns. Try, df = df.withColumn('timestamp', col('timestamp).cast(DoubleType())

    – karma4917
    Nov 21 '18 at 16:30
















0












0








0








I try to convert a columns from string to timestamp with this code



from pyspark.sql import SparkSession
from pyspark.sql.functions import sum, avg, count, first, col
from pyspark.sql.functions import unix_timestamp, col, datediff
import csv

if __name__ == "__main__":
spark = SparkSession
.builder
.config("spark.some.config.option", "some-value")
.getOrCreate()
df=spark.read.csv("inSETP11.csv")
df = df.selectExpr('_c0 as USER_ID', '_c1 as timestamp', '_c2 as location')
df.show()
df = df.withColumn('timestamp', unix_timestamp('timestamp', 'yyyy-mm-dd hh:mm:ss'))
df.show()


but i get null (the function return a value only for some)



+-------+---------+--------+
|USER_ID|timestamp|location|
+-------+---------+--------+
| 1| null| 321|
| 1|1359262.2| 386|
| 1|1359271.2| 386|
| 1|1359273.6| 386|
| 1|1359273.6| 386|
| 1|1359274.8| 386|
| 1|1359281.4| 386|
| 1|1359282.0| 386|
| 1| null| 386|
| 1| null| 386|
| 1| null| 386|
| 1| null| 386|
+-------+---------+--------+


how to fix this ?, where is the problem ?



keyword : python apache-spark pyspark unix-timestamp










share|improve this question














I try to convert a columns from string to timestamp with this code



from pyspark.sql import SparkSession
from pyspark.sql.functions import sum, avg, count, first, col
from pyspark.sql.functions import unix_timestamp, col, datediff
import csv

if __name__ == "__main__":
spark = SparkSession
.builder
.config("spark.some.config.option", "some-value")
.getOrCreate()
df=spark.read.csv("inSETP11.csv")
df = df.selectExpr('_c0 as USER_ID', '_c1 as timestamp', '_c2 as location')
df.show()
df = df.withColumn('timestamp', unix_timestamp('timestamp', 'yyyy-mm-dd hh:mm:ss'))
df.show()


but i get null (the function return a value only for some)



+-------+---------+--------+
|USER_ID|timestamp|location|
+-------+---------+--------+
| 1| null| 321|
| 1|1359262.2| 386|
| 1|1359271.2| 386|
| 1|1359273.6| 386|
| 1|1359273.6| 386|
| 1|1359274.8| 386|
| 1|1359281.4| 386|
| 1|1359282.0| 386|
| 1| null| 386|
| 1| null| 386|
| 1| null| 386|
| 1| null| 386|
+-------+---------+--------+


how to fix this ?, where is the problem ?



keyword : python apache-spark pyspark unix-timestamp







apache-spark pyspark unix-timestamp pyspark-sql






share|improve this question













share|improve this question











share|improve this question




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asked Nov 21 '18 at 8:57









SpecialOneDzSpecialOneDz

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  • 3





    Can you show the raw data inSETP11.csv? null is when the format does not match.

    – Jacek Laskowski
    Nov 21 '18 at 10:37











  • I feel you are selecting wrong columns. Try, df = df.withColumn('timestamp', col('timestamp).cast(DoubleType())

    – karma4917
    Nov 21 '18 at 16:30
















  • 3





    Can you show the raw data inSETP11.csv? null is when the format does not match.

    – Jacek Laskowski
    Nov 21 '18 at 10:37











  • I feel you are selecting wrong columns. Try, df = df.withColumn('timestamp', col('timestamp).cast(DoubleType())

    – karma4917
    Nov 21 '18 at 16:30










3




3





Can you show the raw data inSETP11.csv? null is when the format does not match.

– Jacek Laskowski
Nov 21 '18 at 10:37





Can you show the raw data inSETP11.csv? null is when the format does not match.

– Jacek Laskowski
Nov 21 '18 at 10:37













I feel you are selecting wrong columns. Try, df = df.withColumn('timestamp', col('timestamp).cast(DoubleType())

– karma4917
Nov 21 '18 at 16:30







I feel you are selecting wrong columns. Try, df = df.withColumn('timestamp', col('timestamp).cast(DoubleType())

– karma4917
Nov 21 '18 at 16:30














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