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https://issues.apache.org/jira/browse/SPARK-17982?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15587222#comment-15587222
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Dongjoon Hyun commented on SPARK-17982:
---------------------------------------
Sorry, [~tafra...@gmail.com]. Now, I understand what you meant by `limit`.
The following is the simplified version of your case, isn't it?
{code}
scala> spark.version
res0: String = 2.1.0-SNAPSHOT
scala> sql("CREATE TABLE tbl(id INT)")
res1: org.apache.spark.sql.DataFrame = []
scala> sql("CREATE VIEW v1(id2) AS SELECT id FROM tbl")
res2: org.apache.spark.sql.DataFrame = []
scala> sql("CREATE VIEW v2 AS SELECT id FROM tbl limit 2")
res3: org.apache.spark.sql.DataFrame = []
scala> sql("CREATE VIEW v2(id2) AS SELECT id FROM tbl limit 2")
java.lang.RuntimeException: Failed to analyze the canonicalized SQL: ...
{code}
> Spark 2.0.0 CREATE VIEW statement fails :: java.lang.RuntimeException:
> Failed to analyze the canonicalized SQL. It is possible there is a bug in
> Spark.
> --------------------------------------------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-17982
> URL: https://issues.apache.org/jira/browse/SPARK-17982
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.0.0, 2.0.1
> Environment: spark 2.0.0
> Reporter: Franck Tago
>
> The following statement fails in the spark shell .
> scala> spark.sql("CREATE VIEW
> DEFAULT.sparkshell_2_VIEW__hive_quoted_with_where (WHERE_ID , WHERE_NAME ) AS
> SELECT `where`.id,`where`.name FROM DEFAULT.`where` limit 2")
> scala> spark.sql("CREATE VIEW
> DEFAULT.sparkshell_2_VIEW__hive_quoted_with_where (WHERE_ID , WHERE_NAME ) AS
> SELECT `where`.id,`where`.name FROM DEFAULT.`where` limit 2")
> java.lang.RuntimeException: Failed to analyze the canonicalized SQL: SELECT
> `gen_attr_0` AS `WHERE_ID`, `gen_attr_2` AS `WHERE_NAME` FROM (SELECT
> `gen_attr_1` AS `gen_attr_0`, `gen_attr_3` AS `gen_attr_2` FROM SELECT
> `gen_attr_1`, `gen_attr_3` FROM (SELECT `id` AS `gen_attr_1`, `name` AS
> `gen_attr_3` FROM `default`.`where`) AS gen_subquery_0 LIMIT 2) AS
> gen_subquery_1
> at
> org.apache.spark.sql.execution.command.CreateViewCommand.prepareTable(views.scala:192)
> at
> org.apache.spark.sql.execution.command.CreateViewCommand.run(views.scala:122)
> at
> org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:60)
> at
> org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:58)
> at
> org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:74)
> at
> org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:115)
> at
> org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:115)
> at
> org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:136)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:133)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:114)
> at
> org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:86)
> at
> org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:86)
> at org.apache.spark.sql.Dataset.<init>(Dataset.scala:186)
> at org.apache.spark.sql.Dataset.<init>(Dataset.scala:167)
> at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:65)
> This appears to be a limitation of the create view statement .
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