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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 03:59:25 UTC

[jira] [Updated] (SPARK-21154) ParseException when Create View from another View in Spark SQL

     [ https://issues.apache.org/jira/browse/SPARK-21154?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon updated SPARK-21154:
---------------------------------
    Labels: bulk-closed  (was: )

> ParseException when Create View from another View in Spark SQL 
> ---------------------------------------------------------------
>
>                 Key: SPARK-21154
>                 URL: https://issues.apache.org/jira/browse/SPARK-21154
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.1.0, 2.1.1
>            Reporter: Brian Zhang
>            Priority: Major
>              Labels: bulk-closed
>
> When creating View from another existing View in Spark SQL, we will see ParseException if existing View.
> Here is the detail on how to reproduce it:
> *Hive* (I'm using 1.1.0):
> hive> *CREATE TABLE my_table (id int, name string);*
> OK
> Time taken: 0.107 seconds
> hive> *CREATE VIEW my_view(view_id,view_name) AS SELECT * FROM my_table;*
> OK
> Time taken: 0.075 seconds
> # View Information
> View Original Text:     SELECT * FROM my_table
> View Expanded Text:     SELECT `id` AS `view_id`, `name` AS `view_name` FROM (SELECT `my_table`.`id`, `my_table`.`name` FROM `default`.`my_table`) `default.my_view`
> Time taken: 0.04 seconds, Fetched: 28 row(s)
> *Spark* (Same behavior for spark 2.1.0 and 2.1.1):
> scala> *sqlContext.sql("CREATE VIEW my_view_spark AS SELECT * FROM my_view");*
> java.lang.RuntimeException: Failed to analyze the canonicalized SQL: SELECT `gen_attr_0` AS `view_id`, `gen_attr_1` AS `view_name` FROM (SELECT `gen_attr_0`, `gen_attr_1` FROM (SELECT `gen_attr_2` AS `gen_attr_0`, `gen_attr_3` AS `gen_attr_1` FROM (SELECT `gen_attr_2`, `gen_attr_3` FROM (SELECT `id` AS `gen_attr_2`, `name` AS `gen_attr_3` FROM `default`.`my_table`) AS gen_subquery_0) AS default.my_view) AS my_view) AS my_view
>   at org.apache.spark.sql.execution.command.CreateViewCommand.prepareTable(views.scala:222)
>   at org.apache.spark.sql.execution.command.CreateViewCommand.run(views.scala:176)
>   at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:58)
>   at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:56)
>   at org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:74)
>   at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:114)
>   at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:114)
>   at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:135)
>   at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
>   at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:132)
>   at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:113)
>   at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:87)
>   at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:87)
>   at org.apache.spark.sql.Dataset.<init>(Dataset.scala:185)
>   at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:64)
>   at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:592)
>   at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:699)
>   ... 74 elided
> Caused by: org.apache.spark.sql.catalyst.parser.ParseException:
> mismatched input 'FROM' expecting {<EOF>, 'WHERE', 'GROUP', 'ORDER', 'HAVING', 'LIMIT', 'LATERAL', 'WINDOW', 'UNION', 'EXCEPT', 'MINUS', 'INTERSECT', 'SORT', 'CLUSTER', 'DISTRIBUTE'}(line 1, pos 62)
> == SQL ==
> SELECT `gen_attr_0` AS `view_id`, `gen_attr_1` AS `view_name` FROM (SELECT `gen_attr_0`, `gen_attr_1` FROM (SELECT `gen_attr_2` AS `gen_attr_0`, `gen_attr_3` AS `gen_attr_1` FROM (SELECT `gen_attr_2`, `gen_attr_3` FROM (SELECT `id` AS `gen_attr_2`, `name` AS `gen_attr_3` FROM `default`.`my_table`) AS gen_subquery_0) AS default.my_view) AS my_view) AS my_view
> --------------------------------------------------------------^^^
>   at org.apache.spark.sql.catalyst.parser.ParseException.withCommand(ParseDriver.scala:197)
>   at org.apache.spark.sql.catalyst.parser.AbstractSqlParser.parse(ParseDriver.scala:99)
>   at org.apache.spark.sql.execution.SparkSqlParser.parse(SparkSqlParser.scala:45)
>   at org.apache.spark.sql.catalyst.parser.AbstractSqlParser.parsePlan(ParseDriver.scala:53)
>   at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:592)
>   at org.apache.spark.sql.execution.command.CreateViewCommand.prepareTable(views.scala:219)
>   ... 90 more



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