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Posted to issues@spark.apache.org by "Yishai Chernovitzky (Jira)" <ji...@apache.org> on 2022/03/08 06:28:00 UTC

[jira] [Commented] (SPARK-37690) Recursive view `df` detected (cycle: `df` -> `df`)

    [ https://issues.apache.org/jira/browse/SPARK-37690?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17502743#comment-17502743 ] 

Yishai Chernovitzky commented on SPARK-37690:
---------------------------------------------

It seems to be resolved by SPARK-38318

> Recursive view `df` detected (cycle: `df` -> `df`)
> --------------------------------------------------
>
>                 Key: SPARK-37690
>                 URL: https://issues.apache.org/jira/browse/SPARK-37690
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark
>    Affects Versions: 3.2.0
>            Reporter: Robin
>            Priority: Major
>
> In Spark 3.2.0, you can no longer reuse the same name for a temporary view.  This change is backwards incompatible, and means a common way of running pipelines of SQL queries no longer works.   The following is a simple reproducible example that works in Spark 2.x and 3.1.2, but not in 3.2.0: 
> {code:python}from pyspark.context import SparkContext 
> from pyspark.sql import SparkSession 
> sc = SparkContext.getOrCreate() 
> spark = SparkSession(sc) 
> sql = """ SELECT id as col_1, rand() AS col_2 FROM RANGE(10); """ 
> df = spark.sql(sql) 
> df.createOrReplaceTempView("df") 
> sql = """ SELECT * FROM df """ 
> df = spark.sql(sql) 
> df.createOrReplaceTempView("df") 
> sql = """ SELECT * FROM df """ 
> df = spark.sql(sql) {code}   
> The following error is now produced:   
> {code:python}AnalysisException: Recursive view `df` detected (cycle: `df` -> `df`) 
> {code} 
> I'm reasonably sure this change is unintentional in 3.2.0 since it breaks a lot of legacy code, and the `createOrReplaceTempView` method is named explicitly such that replacing an existing view should be allowed.   An internet search suggests other users have run into a similar problems, e.g. [here|https://community.databricks.com/s/question/0D53f00001Qugr7CAB/upgrading-from-spark-24-to-32-recursive-view-errors-when-using]  



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