You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2022/12/02 06:08:00 UTC
[jira] [Assigned] (SPARK-41344) Reading V2 datasource masks underlying error
[ https://issues.apache.org/jira/browse/SPARK-41344?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-41344:
------------------------------------
Assignee: (was: Apache Spark)
> 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
>
> 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]
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org