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https://issues.apache.org/jira/browse/SPARK-43541?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Dongjoon Hyun updated SPARK-43541:
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Fix Version/s: 3.3.3
> Incorrect column resolution on FULL OUTER JOIN with USING
> ---------------------------------------------------------
>
> Key: SPARK-43541
> URL: https://issues.apache.org/jira/browse/SPARK-43541
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.3.2, 3.4.0
> Reporter: Max Gekk
> Assignee: Max Gekk
> Priority: Major
> Fix For: 3.3.3, 3.4.1, 3.5.0
>
>
> This was tested on Spark 3.3.2 and Spark 3.4.0.
> {code}
> Causes [UNRESOLVED_COLUMN.WITH_SUGGESTION] A column or function parameter
> with name `aws_dbr_a`.`key` cannot be resolved. Did you mean one of the
> following? [`key`].; line 4, pos 7
> {code}
> FULL OUTER JOIN with USING and/or the WHERE seems relevant since I can get
> the query to work with any of these modifications.
> {code}
> # -- FULL OUTER JOIN
> WITH
> aws_dbr_a AS (select key from values ('a') t(key)),
> gcp_pro_b AS (select key from values ('a') t(key))
> SELECT aws_dbr_a.key
> FROM aws_dbr_a
> FULL OUTER JOIN gcp_pro_b USING (key)
> WHERE aws_dbr_a.key NOT LIKE 'spark.clusterUsageTags.%';
> [UNRESOLVED_COLUMN.WITH_SUGGESTION] A column or function parameter with name
> `aws_dbr_a`.`key` cannot be resolved. Did you mean one of the following?
> [`key`].; line 4 pos 7
> # -- INNER JOIN
> WITH
> aws_dbr_a AS (select key from values ('a') t(key)),
> gcp_pro_b AS (select key from values ('a') t(key))
> SELECT aws_dbr_a.key
> FROM aws_dbr_a
> JOIN gcp_pro_b USING (key)
> WHERE aws_dbr_a.key NOT LIKE 'spark.clusterUsageTags.%';
> +-----+
> | key |
> |-----|
> | a |
> +-----+
> 1 row in set
> Time: 0.507s
> # -- NO Filter
> WITH
> aws_dbr_a AS (select key from values ('a') t(key)),
> gcp_pro_b AS (select key from values ('a') t(key))
> SELECT aws_dbr_a.key
> FROM aws_dbr_a
> FULL OUTER JOIN gcp_pro_b USING (key);
> +-----+
> | key |
> |-----|
> | a |
> +-----+
> 1 row in set
> Time: 1.021s
> # -- ON instead of USING
> WITH
> aws_dbr_a AS (select key from values ('a') t(key)),
> gcp_pro_b AS (select key from values ('a') t(key))
> SELECT aws_dbr_a.key
> FROM aws_dbr_a
> FULL OUTER JOIN gcp_pro_b ON aws_dbr_a.key = gcp_pro_b.key
> WHERE aws_dbr_a.key NOT LIKE 'spark.clusterUsageTags.%';
> +-----+
> | key |
> |-----|
> | a |
> +-----+
> 1 row in set
> Time: 0.514s
> {code}
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