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https://issues.apache.org/jira/browse/SPARK-41344?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17643131#comment-17643131
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Zhen Wang commented on SPARK-41344:
-----------------------------------
[~ganaakruti] As far as I understand, V1 and V2 only have different
implementations for data source operations, they should have the same tables
view. The table that cannot be found in V2 should also not be found in V1.
cc [~planga82] Could you please take a look?
> Reading V2 datasource masks underlying error
> --------------------------------------------
>
> Key: SPARK-41344
> URL: https://issues.apache.org/jira/browse/SPARK-41344
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.3.0, 3.3.1, 3.4.0
> Reporter: Kevin Cheung
> Priority: Critical
> Attachments: image-2022-12-03-09-24-43-285.png
>
>
> In Spark 3.3,
> # DataSourceV2Utils, the loadV2Source calls:
> {*}(CatalogV2Util.loadTable(catalog, ident, timeTravel).get{*},
> Some(catalog), Some(ident)).
> # CatalogV2Util.scala, when it tries to *loadTable(x,x,x)* and it fails with
> any of these exceptions NoSuchTableException, NoSuchDatabaseException,
> NoSuchNamespaceException, it would return None
> # Coming back to DataSourceV2Utils, None was previously returned and calling
> None.get results in a cryptic error technically "correct", but the *original
> exceptions NoSuchTableException, NoSuchDatabaseException,
> NoSuchNamespaceException are thrown away.*
>
> *Ask:*
> Retain the original error and propagate this to the user. Prior to Spark 3.3,
> the *original error* was shown and this seems like a design flaw.
>
> *Sample user facing error:*
> None.get
> java.util.NoSuchElementException: None.get
> at scala.None$.get(Option.scala:529)
> at scala.None$.get(Option.scala:527)
> at
> org.apache.spark.sql.execution.datasources.v2.DataSourceV2Utils$.loadV2Source(DataSourceV2Utils.scala:129)
> at
> org.apache.spark.sql.DataFrameReader.$anonfun$load$1(DataFrameReader.scala:209)
> at scala.Option.flatMap(Option.scala:271)
> at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:207)
> at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:171)
>
> *DataSourceV2Utils.scala - CatalogV2Util.loadTable(x,x,x).get*
> [https://github.com/apache/spark/blob/7fd654c0142ab9e4002882da4e65d3b25bebd26c/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/DataSourceV2Utils.scala#L137]
> *CatalogV2Util.scala - Option(catalog.asTableCatalog.loadTable(ident))*
> {*}{{*}}[https://github.com/apache/spark/blob/7fd654c0142ab9e4002882da4e65d3b25bebd26c/sql/catalyst/src/main/scala/org/apache/spark/sql/connector/catalog/CatalogV2Util.scala#L341]
> *CatalogV2Util.scala - catching the exceptions and return None*
> [https://github.com/apache/spark/blob/7fd654c0142ab9e4002882da4e65d3b25bebd26c/sql/catalyst/src/main/scala/org/apache/spark/sql/connector/catalog/CatalogV2Util.scala#L344]
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