[
https://issues.apache.org/jira/browse/SAMZA-390?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14235952#comment-14235952
]
Chris Riccomini commented on SAMZA-390:
---------------------------------------
[~yipan], regarding this comment:
bq. if a query result has a temporal field as one of its GROUP By or JOIN keys,
and the incoming messages can be expected to flow in-order-of the timestamps,
we can perform incremental computation of query results.
Isn't this true with any window operation? If we are doing a windowed join, and
a new row comes in, we can look at the buffer for the other incoming stream,
and do the join immediately, and output right away, correct? I believe the same
holds true for something like SELECT member_id, count(*) FROM PageViews
WINDOW(30 seconds) GROUP BY member_id. It seems to me that any windowing
implicitly means that it's part of the GROUP BY, and therefore all window
operations can be done incrementally.
> High-Level Language for Samza
> -----------------------------
>
> Key: SAMZA-390
> URL: https://issues.apache.org/jira/browse/SAMZA-390
> Project: Samza
> Issue Type: New Feature
> Reporter: Raul Castro Fernandez
> Priority: Minor
> Labels: project
>
> Discussion about high-level languages to define Samza queries. Queries are
> defined in this language and transformed to a dataflow graph where the nodes
> are Samza jobs.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
