how to define the number of digits after second in timestamp of spark streaming data?










0















My timestamp in real data would be like
this or as shown below



2018-02-28T00:05:20.3717898Z 
2018-02-28T00:05:23.6589778Z
2018-02-28T00:05:23.9119922Z
2018-02-28T00:05:25.4230787Z
2018-02-28T00:05:25.6710929Z
2018-02-28T00:05:26.4271361Z


And I use this code to read the data



userSchema=StructType().add('time','timestamp')
s=spark.readStream.schema(userSchema).csv('xxxx')


The result is like
this



Complete no idea how it happened.










share|improve this question
























  • I think spark might be reading it in the correct format. What could be happening is that it is showing you the truncated form. Try to use s.show(10, truncate=false). Here is a question you with exactly the same problem as yours : stackoverflow.com/questions/33742895/…

    – user238607
    Nov 16 '18 at 7:17











  • Thanks, your answer is very heuristic. But the streaming object doesn't support shown() function. I tried to modify the timestamp format when read data and use option("truncate", False) for writestream(), the results look much better.

    – ellie
    Nov 16 '18 at 15:27















0















My timestamp in real data would be like
this or as shown below



2018-02-28T00:05:20.3717898Z 
2018-02-28T00:05:23.6589778Z
2018-02-28T00:05:23.9119922Z
2018-02-28T00:05:25.4230787Z
2018-02-28T00:05:25.6710929Z
2018-02-28T00:05:26.4271361Z


And I use this code to read the data



userSchema=StructType().add('time','timestamp')
s=spark.readStream.schema(userSchema).csv('xxxx')


The result is like
this



Complete no idea how it happened.










share|improve this question
























  • I think spark might be reading it in the correct format. What could be happening is that it is showing you the truncated form. Try to use s.show(10, truncate=false). Here is a question you with exactly the same problem as yours : stackoverflow.com/questions/33742895/…

    – user238607
    Nov 16 '18 at 7:17











  • Thanks, your answer is very heuristic. But the streaming object doesn't support shown() function. I tried to modify the timestamp format when read data and use option("truncate", False) for writestream(), the results look much better.

    – ellie
    Nov 16 '18 at 15:27













0












0








0








My timestamp in real data would be like
this or as shown below



2018-02-28T00:05:20.3717898Z 
2018-02-28T00:05:23.6589778Z
2018-02-28T00:05:23.9119922Z
2018-02-28T00:05:25.4230787Z
2018-02-28T00:05:25.6710929Z
2018-02-28T00:05:26.4271361Z


And I use this code to read the data



userSchema=StructType().add('time','timestamp')
s=spark.readStream.schema(userSchema).csv('xxxx')


The result is like
this



Complete no idea how it happened.










share|improve this question
















My timestamp in real data would be like
this or as shown below



2018-02-28T00:05:20.3717898Z 
2018-02-28T00:05:23.6589778Z
2018-02-28T00:05:23.9119922Z
2018-02-28T00:05:25.4230787Z
2018-02-28T00:05:25.6710929Z
2018-02-28T00:05:26.4271361Z


And I use this code to read the data



userSchema=StructType().add('time','timestamp')
s=spark.readStream.schema(userSchema).csv('xxxx')


The result is like
this



Complete no idea how it happened.







apache-spark






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 16 '18 at 8:47









user238607

683712




683712










asked Nov 15 '18 at 21:47









ellie ellie

11




11












  • I think spark might be reading it in the correct format. What could be happening is that it is showing you the truncated form. Try to use s.show(10, truncate=false). Here is a question you with exactly the same problem as yours : stackoverflow.com/questions/33742895/…

    – user238607
    Nov 16 '18 at 7:17











  • Thanks, your answer is very heuristic. But the streaming object doesn't support shown() function. I tried to modify the timestamp format when read data and use option("truncate", False) for writestream(), the results look much better.

    – ellie
    Nov 16 '18 at 15:27

















  • I think spark might be reading it in the correct format. What could be happening is that it is showing you the truncated form. Try to use s.show(10, truncate=false). Here is a question you with exactly the same problem as yours : stackoverflow.com/questions/33742895/…

    – user238607
    Nov 16 '18 at 7:17











  • Thanks, your answer is very heuristic. But the streaming object doesn't support shown() function. I tried to modify the timestamp format when read data and use option("truncate", False) for writestream(), the results look much better.

    – ellie
    Nov 16 '18 at 15:27
















I think spark might be reading it in the correct format. What could be happening is that it is showing you the truncated form. Try to use s.show(10, truncate=false). Here is a question you with exactly the same problem as yours : stackoverflow.com/questions/33742895/…

– user238607
Nov 16 '18 at 7:17





I think spark might be reading it in the correct format. What could be happening is that it is showing you the truncated form. Try to use s.show(10, truncate=false). Here is a question you with exactly the same problem as yours : stackoverflow.com/questions/33742895/…

– user238607
Nov 16 '18 at 7:17













Thanks, your answer is very heuristic. But the streaming object doesn't support shown() function. I tried to modify the timestamp format when read data and use option("truncate", False) for writestream(), the results look much better.

– ellie
Nov 16 '18 at 15:27





Thanks, your answer is very heuristic. But the streaming object doesn't support shown() function. I tried to modify the timestamp format when read data and use option("truncate", False) for writestream(), the results look much better.

– ellie
Nov 16 '18 at 15:27












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