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https://issues.apache.org/jira/browse/PIG-2359?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13171315#comment-13171315
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Alan Gates commented on PIG-2359:
---------------------------------
bq. The use case isn't just internal, I started this in the first case because
I needed to construct large tuple bags in a UDF. My reasoning for taking int
value was that this is what we do when people "cast" a float to an int in pig.
If you declare the schema to be an int, and put in a float... seems to me like
having an int come out is ok. Could also die abruptly. I think null would be
most surprising of the available choices.
When will these specialized tuple types get used? Pig will use them internally
when we expect a bag (or whatever) to contain that type. Users can use them in
UDFs they construct. Are there are other cases where we envision them being
used? I agree my "push it to null" is just as arbitrary as your "push to the
type I expected". I shy away from failing jobs on these kinds of errors
because you hate for one row in a billion to fail an entire job. I guess I'm
ok with your approach, though I think it should issue a warning (since it seems
clear the user expected to find only one type in the data), and I think the
Javadoc comments on the set() functions should clearly declare that this
instance of the function bends the semantics of the interface.
Performance wise, this looks very exciting.
> Support more efficient Tuples when schemas are known
> ----------------------------------------------------
>
> Key: PIG-2359
> URL: https://issues.apache.org/jira/browse/PIG-2359
> Project: Pig
> Issue Type: New Feature
> Reporter: Dmitriy V. Ryaboy
> Assignee: Dmitriy V. Ryaboy
> Attachments: PIG-2359.1.patch, PIG-2359.2.patch, PIG-2359.3.patch
>
>
> Pig Tuples have significant overhead due to the fact that all the fields are
> Objects.
> When a Tuple only contains primitive fields (ints, longs, etc), it's possible
> to avoid this overhead, which would result in significant memory savings.
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