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Posted to issues@spark.apache.org by "Ruifeng Zheng (Jira)" <ji...@apache.org> on 2025/02/02 01:22:00 UTC
[jira] [Resolved] (SPARK-50843) Support return a new model from existing one
[ https://issues.apache.org/jira/browse/SPARK-50843?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Ruifeng Zheng resolved SPARK-50843.
-----------------------------------
Resolution: Fixed
> Support return a new model from existing one
> --------------------------------------------
>
> Key: SPARK-50843
> URL: https://issues.apache.org/jira/browse/SPARK-50843
> Project: Spark
> Issue Type: Sub-task
> Components: Connect, ML, PySpark
> Affects Versions: 4.0.0
> Reporter: Ruifeng Zheng
> Assignee: Ruifeng Zheng
> Priority: Major
> Labels: pull-request-available
>
>
> GBTmodel.trees fails with
>
> {code:java}
> java.lang.UnsupportedOperationException at org.apache.spark.sql.connect.common.LiteralValueProtoConverter$.toDataType(LiteralValueProtoConverter.scala:241) at org.apache.spark.sql.connect.common.LiteralValueProtoConverter$.arrayBuilder$1(LiteralValueProtoConverter.scala:66) at org.apache.spark.sql.connect.common.LiteralValueProtoConverter$.toLiteralProtoBuilder(LiteralValueProtoConverter.scala:99) at org.apache.spark.sql.connect.common.LiteralValueProtoConverter$.toLiteralProto(LiteralValueProtoConverter.scala:202) at org.apache.spark.sql.connect.ml.Serializer$.serializeParam(Serializer.scala:79) at org.apache.spark.sql.connect.ml.MLHandler$.handleMlCommand(MLHandler.scala:142) at org.apache.spark.sql.connect.planner.SparkConnectPlanner.handleMlCommand(SparkConnectPlanner.scala:2478) at org.apache.spark.sql.connect.planner.SparkConnectPlanner.process(SparkConnectPlanner.scala:2469) at org.apache.spark.sql.connect.execution.ExecuteThreadRunner.handleCommand(ExecuteThreadRunner.scala:311) at org.apache.spark.sql.connect.execution.ExecuteThreadRunner.$anonfun$executeInternal$1(ExecuteThreadRunner.scala:214) at org.apache.spark.sql.connect.execution.ExecuteThreadRunner.$anonfun$executeInternal$1$adapted(ExecuteThreadRunner.scala:186) at org.apache.spark.sql.connect.service.SessionHolder.$anonfun$withSession$2(SessionHolder.scala:342) at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:791) at org.apache.spark.sql.connect.service.SessionHolder.$anonfun$withSession$1(SessionHolder.scala:342) at org.apache.spark.JobArtifactSet$.withActiveJobArtifactState(JobArtifactSet.scala:94) at org.apache.spark.sql.artifact.ArtifactManager.$anonfun$withResources$1(ArtifactManager.scala:111) at org.apache.spark.util.Utils$.withContextClassLoader(Utils.scala:186) at org.apache.spark.sql.artifact.ArtifactManager.withClassLoaderIfNeeded(ArtifactManager.scala:101) at org.apache.spark.sql.artifact.ArtifactManager.withResources(ArtifactManager.scala:110) at org.apache.spark.sql.connect.service.SessionHolder.withSession(SessionHolder.scala:341) at org.apache.spark.sql.connect.execution.ExecuteThreadRunner.executeInternal(ExecuteThreadRunner.scala:186) at org.apache.spark.sql.connect.execution.ExecuteThreadRunner.org$apache$spark$sql$connect$execution$ExecuteThreadRunner$$execute(ExecuteThreadRunner.scala:115) at org.apache.spark.sql.connect.execution.ExecuteThreadRunner$ExecutionThread.run(ExecuteThreadRunner.scala:336) {code}
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