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Xiao Li commented on SPARK-18549: --------------------------------- Using name resolution is not a clean fix. We might uncache the ones that should not be uncached. > Failed to Uncache a View that References a Dropped Table. > --------------------------------------------------------- > > Key: SPARK-18549 > URL: https://issues.apache.org/jira/browse/SPARK-18549 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 2.0.2 > Reporter: Xiao Li > Priority: Critical > > {code} > spark.range(1, 10).toDF("id1").write.format("json").saveAsTable("jt1") > spark.range(1, 10).toDF("id2").write.format("json").saveAsTable("jt2") > sql("CREATE VIEW testView AS SELECT * FROM jt1 JOIN jt2 ON id1 == id2") > // Cache is empty at the beginning > assert(spark.sharedState.cacheManager.isEmpty) > sql("CACHE TABLE testView") > assert(spark.catalog.isCached("testView")) > // Cache is not empty > assert(!spark.sharedState.cacheManager.isEmpty) > {code} > {code} > // drop a table referenced by a cached view > sql("DROP TABLE jt1") > -- So far everything is fine > // Failed to unache the view > val e = intercept[AnalysisException] { > sql("UNCACHE TABLE testView") > }.getMessage > assert(e.contains("Table or view not found: `default`.`jt1`")) > // We are unable to drop it from the cache > assert(!spark.sharedState.cacheManager.isEmpty) > {code} -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org