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https://issues.apache.org/jira/browse/SPARK-23027?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16321487#comment-16321487
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Takeshi Yamamuro commented on SPARK-23027:
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You tried v2.1?
https://databricks.com/blog/2016/12/15/scalable-partition-handling-for-cloud-native-architecture-in-apache-spark-2-1.html
Either way, you need to first ask questions in the spark-user mailing list.
> optimizer a simple query using a non-existent data is too slow
> --------------------------------------------------------------
>
> Key: SPARK-23027
> URL: https://issues.apache.org/jira/browse/SPARK-23027
> Project: Spark
> Issue Type: Bug
> Components: Optimizer
> Affects Versions: 2.0.1
> Reporter: wangminfeng
>
> When i use spark sql to do ad-hoc query, i have data partitioned by
> event_day, event_minute, event_hour, data is large enough，one day data is
> about 3T， we saved 3 month data.
> But when query use a non-existent day， get optimizedPlan is too slow.
> i use “sparkSession.sessionState.executePlan(logicalPlan).optimizedPlan” get
> optimized plan， for five minutes，i can not get it. Query is simple enough,
> like:
> SELECT
> event_day
> FROM db.table t1
> WHERE (t1.event_day='20170104' and t1.event_hour='23' and
> t1.event_minute='55')
> LIMIT 1
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