Github user dongjoon-hyun commented on the issue:
https://github.com/apache/spark/pull/15302
I'm closing this PR in favor of #15704 .
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Github user dongjoon-hyun commented on the issue:
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Thank you, @hvanhovell !
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Github user hvanhovell commented on the issue:
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@dongjoon-hyun I'll take a look tomorrow.
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Github user dongjoon-hyun commented on the issue:
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Hi, @hvanhovell .
I made another attempt #15704 by using 'Expression' as you commented.
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Github user dongjoon-hyun commented on the issue:
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Hi, @hvanhovell .
In DDL, do we have an example to use `Expression` like this?
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Github user dongjoon-hyun commented on the issue:
https://github.com/apache/spark/pull/15302
With today's master, it's like the following. Should we use expression in
`AlterTableDropPartitionCommand`?
```scala
org.apache.spark.sql.AnalysisException: cannot resolve '`country`'
Github user dongjoon-hyun commented on the issue:
https://github.com/apache/spark/pull/15302
Hi, @hvanhovell .
When using `Expression`, I faced two situations.
- `checkAnalysis` raises exceptions because the column is unresolved, e.g.,
`country` is unresolved.
- As a
Github user dongjoon-hyun commented on the issue:
https://github.com/apache/spark/pull/15302
The only failure looks irrelevant. Anyway, I'm revising the PR.
```scala
[info] *** 1 SUITE ABORTED ***
[error] Error: Total 2604, Failed 0, Errors 1, Passed 2603, Ignored 48
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Github user hvanhovell commented on the issue:
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@dongjoon-hyun I have taken a quick look. Shouldn't we just use Expressions
for filtering partitions?
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Github user dongjoon-hyun commented on the issue:
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Hi, @hvanhovell .
Could you give some opinion about this PR when you have some time?
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