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https://issues.apache.org/jira/browse/SPARK-42539?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sun Chao reassigned SPARK-42539:
--------------------------------
Assignee: Erik Krogen
> User-provided JARs can override Spark's Hive metadata client JARs when using
> "builtin"
> --------------------------------------------------------------------------------------
>
> Key: SPARK-42539
> URL: https://issues.apache.org/jira/browse/SPARK-42539
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.1.3, 3.2.3, 3.3.2
> Reporter: Erik Krogen
> Assignee: Erik Krogen
> Priority: Major
> Fix For: 3.5.0
>
>
> Recently we observed that on version 3.2.0 and Java 8, it is possible for
> user-provided Hive JARs to break the ability for Spark, via the Hive metadata
> client / {{IsolatedClientLoader}}, to communicate with Hive Metastore, when
> using the default behavior of the "builtin" Hive version. After SPARK-35321,
> when Spark is compiled against Hive >= 2.3.9 and the "builtin" Hive client
> version is used, we will call the method {{Hive.getWithoutRegisterFns()}}
> (from HIVE-21563) instead of {{Hive.get()}}. If the user has included, for
> example, {{hive-exec-2.3.8.jar}} on their classpath, the client will break
> with a {{NoSuchMethodError}}. This particular failure mode was resolved in
> 3.2.1 by SPARK-37446, but while investigating, we found a general issue that
> it's possible for user JARs to override Spark's own JARs -- but only inside
> of the IsolatedClientLoader when using "builtin". This happens because even
> when Spark is configured to use the "builtin" Hive classes, it still creates
> a separate URLClassLoader for the HiveClientImpl used for HMS communication.
> To get the set of JAR URLs to use for this classloader, Spark [collects all
> of the JARs used by the user classloader (and its parent, and that
> classloader's parent, and so
> on)|https://github.com/apache/spark/blob/87e3d5625e76bb734b8dd753bfb25002822c8585/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveUtils.scala#L412-L438].
> Thus the newly created classloader will have all of the same JARs as the
> user classloader, but the ordering has been reversed! User JARs get
> prioritized ahead of system JARs, because the classloader hierarchy is
> traversed from bottom-to-top. For example let's say we have user JARs
> "foo.jar" and "hive-exec-2.3.8.jar". The user classloader will look like this:
> {code}
> MutableURLClassLoader
> -- foo.jar
> -- hive-exec-2.3.8.jar
> -- parent: URLClassLoader
> ----- spark-core_2.12-3.2.0.jar
> ----- ...
> ----- hive-exec-2.3.9.jar
> ----- ...
> {code}
> This setup provides the expected behavior within the user classloader; it
> will first check the parent, so hive-exec-2.3.9.jar takes precedence, and the
> MutableURLClassLoader is only checked if the class doesn't exist in the
> parent. But when a JAR list is constructed for the IsolatedClientLoader, it
> traverses the URLs from MutableURLClassLoader first, then it's parent, so the
> final list looks like (in order):
> {code}
> URLClassLoader [IsolatedClientLoader]
> -- foo.jar
> -- hive-exec-2.3.8.jar
> -- spark-core_2.12-3.2.0.jar
> -- ...
> -- hive-exec-2.3.9.jar
> -- ...
> -- parent: boot classloader (JVM classes)
> {code}
> Now when a lookup happens, all of the JARs are within the same
> URLClassLoader, and the user JARs are in front of the Spark ones, so the user
> JARs get prioritized. This is the opposite of the expected behavior when
> using the default user/application classloader in Spark, which has
> parent-first behavior, prioritizing the Spark/system classes over the user
> classes. (Note that this behavior is correct when using the
> {{ChildFirstURLClassLoader}}.)
> After SPARK-37446, the NoSuchMethodError is no longer an issue, but this
> still breaks assumptions about how user JARs should be treated vs. system
> JARs, and presents the ability for the client to break in other ways. For
> example in SPARK-37446 it describes a scenario whereby Hive 2.3.8 JARs have
> been included; the changes in Hive 2.3.9 were needed to improve compatibility
> with older HMS, so if a user were to accidentally include these older JARs,
> it could break the ability of Spark to communicate with HMS 1.x
> I see two solutions to this:
> *(A) Remove the separate classloader entirely when using "builtin"*
> Starting from 3.0.0, due to SPARK-26839, when using Java 9+, we don't even
> create a new classloader when using "builtin". This makes sense, as [called
> out in this
> comment|https://github.com/apache/spark/pull/24057#discussion_r265142878],
> since the point of "builtin" is to use the existing JARs on the classpath
> anyway. This proposes simply extending the changes from SPARK-26839 to all
> Java versions, instead of restricting to Java 9+ only.
> *(B) Reverse the ordering of parent/child JARs when constructing the URL list*
> The most targeted fix that can be made is to simply reverse the ordering on
> [this line in
> HiveUtils|https://github.com/apache/spark/blob/87e3d5625e76bb734b8dd753bfb25002822c8585/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveUtils.scala#L419],
> which prioritizes child-classloader JARs over parent-classloader JARs,
> reversing the expected ordering. There is already special handling for
> {{ChildFirstURLClassLoader}}, so all that needs to be done is to reverse this
> order.
> I prefer (A) because I think it is a clean solution in that it both
> simplifies the classloader setup, and reduces divergence / special handling
> for different Java versions. At the time SPARK-26839 went in (2019), Java 9+
> support was newer and less well-tested. Now after a few years we can see that
> the approach in SPARK-26839 clearly works well, so I see no reason _not_ to
> extend this approach to other Java versions as well.
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