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https://issues.apache.org/jira/browse/SPARK-49789?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated SPARK-49789:
-----------------------------------
Labels: pull-request-available spark-sql (was: spark-sql)
> org.apache.spark.SparkUnsupportedOperationException: [ENCODER_NOT_FOUND] Not
> found an encoder of the type T
> -----------------------------------------------------------------------------------------------------------
>
> Key: SPARK-49789
> URL: https://issues.apache.org/jira/browse/SPARK-49789
> Project: Spark
> Issue Type: Bug
> Components: Connect, SQL
> Affects Versions: 4.0.0, 3.5.2
> Reporter: Asif
> Priority: Major
> Labels: pull-request-available, spark-sql
>
> If a Bean class is having a generic type T as a bean property and T has
> upper bound of Serializable, i.e T <: Serializable , spark should allow
> creation of an Encoder, treating T as a binary field.
> Currently it throws following exception
>
> org.apache.spark.SparkUnsupportedOperationException: [ENCODER_NOT_FOUND] Not
> found an encoder of the type T to Spark SQL internal representation. Consider
> to change the input type to one of supported at
> '[https://spark.apache.org/docs/latest/sql-ref-datatypes.html'|https://spark.apache.org/docs/latest/sql-ref-datatypes.html'].
> at
> org.apache.spark.sql.errors.QueryExecutionErrors$.cannotFindEncoderForTypeError(QueryExecutionErrors.scala:1483)
> at
> org.apache.spark.sql.catalyst.JavaTypeInference$.encoderFor(JavaTypeInference.scala:142)
> at
> org.apache.spark.sql.catalyst.JavaTypeInference$.$anonfun$encoderFor$1(JavaTypeInference.scala:128)
> at
> scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:286)
> at
> scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:36)
> at
> scala.collection.IndexedSeqOptimized.foreach$(IndexedSeqOptimized.scala:33)
> at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:198)
> at scala.collection.TraversableLike.map(TraversableLike.scala:286)
> at scala.collection.TraversableLike.map$(TraversableLike.scala:279)
> at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:198)
> at
> org.apache.spark.sql.catalyst.JavaTypeInference$.encoderFor(JavaTypeInference.scala:126)
> at
> org.apache.spark.sql.catalyst.JavaTypeInference$.encoderFor(JavaTypeInference.scala:58)
> at
> org.apache.spark.sql.catalyst.JavaTypeInference$.encoderFor(JavaTypeInference.scala:51)
> at
> org.apache.spark.sql.catalyst.encoders.ExpressionEncoder$.javaBean(ExpressionEncoder.scala:62)
> at org.apache.spark.sql.Encoders$.bean(Encoders.scala:179)
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