Github user lianhuiwang commented on the issue:
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OK. Thanks.
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Github user hvanhovell commented on the issue:
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@lianhuiwang we have merged PR https://github.com/apache/spark/pull/14548
implementing similar functionality. Could you close this PR? Thanks for your
work!
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Github user viirya commented on the issue:
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I think this is duplicate to the merged one #14548?
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Github user cloud-fan commented on the issue:
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ah you are right, I think we need a better approach to execute subqueries
and reuse the results globally. cc @hvanhovell to comment more on this.
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Github user lianhuiwang commented on the issue:
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@cloud-fan I don't think it is a bug of constraints propagation because
filter with the uncorrelated scalar subquery needs to push down due to it can
filter many records.
In addition,
Github user cloud-fan commented on the issue:
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@lianhuiwang, after taking a look at this example, I think this is a very
special case: 2 physical plans reference to one same subquery(same instance).
However, I don't think this is a valid
Github user lianhuiwang commented on the issue:
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@cloud-fan At firstly I have implemented it with you said. But the
following situation that has broadcast join will have a error 'ScalarSubquery
has not finished', example (from SPARK-14791):
Github user cloud-fan commented on the issue:
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I have a simpler idea to implement this feature:
1. in `SparkPlan`, build a map from distinct subqueries to future result,
and still keep the original subquery list.
2. in
Github user lianhuiwang commented on the issue:
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cc @rxin @hvanhovell @cloud-fan
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