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Posted to issues@spark.apache.org by "Franck Tago (JIRA)" <ji...@apache.org> on 2016/11/02 02:21:58 UTC
[jira] [Commented] (SPARK-17982) 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.
[ https://issues.apache.org/jira/browse/SPARK-17982?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15627406#comment-15627406 ]
Franck Tago commented on SPARK-17982:
-------------------------------------
Wanted to mention that I was able to successfully verify my cases with the changes made under this request.
> 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
> Priority: Blocker
>
> The following statement fails in the spark shell .
> {noformat}
> 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)
> {noformat}
> This appears to be a limitation of the create view statement .
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