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.
apache-spark
edited Nov 16 '18 at 8:47
user238607
683712
asked Nov 15 '18 at 21:47
ellie ellie
11
add a comment |
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.
apache-spark
edited Nov 16 '18 at 8:47
user238607
683712
asked Nov 15 '18 at 21:47
ellie ellie
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
add a comment |
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.
apache-spark
edited Nov 16 '18 at 8:47
user238607
683712
asked Nov 15 '18 at 21:47
ellie ellie
11
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
apache-spark
edited Nov 16 '18 at 8:47
user238607
683712
asked Nov 15 '18 at 21:47
ellie ellie
11
edited Nov 16 '18 at 8:47
user238607
683712
asked Nov 15 '18 at 21:47
ellie ellie
11
edited Nov 16 '18 at 8:47
user238607
683712
edited Nov 16 '18 at 8:47
user238607
683712
edited Nov 16 '18 at 8:47
user238607
683712
683712
asked Nov 15 '18 at 21:47
ellie ellie
11
asked Nov 15 '18 at 21:47
ellie ellie
11
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
add a comment |
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
add a comment |
0
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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