[
https://issues.apache.org/jira/browse/SPARK-50843?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
ASF GitHub Bot updated SPARK-50843:
-----------------------------------
Labels: pull-request-available (was: )
> 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
> 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}
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
