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GpuMapInPandasExecMeta
From the Databricks build log:
01:49:20 [ERROR] /home/ubuntu/spark-rapids/sql-plugin/src/main/scala/com/nvidia/spark/rapids/GpuOverrides.scala:70: object GpuMapInPandasExecMeta is not a member of package org.apache.spark.sql.rapids.shims 01:49:20 [ERROR] import org.apache.spark.sql.rapids.shims.{GpuAscii, GpuMapInPandasExecMeta, GpuTimeAdd} 01:49:20 [ERROR] ^ 01:49:22 [ERROR] /home/ubuntu/spark-rapids/sql-plugin/src/main/scala/com/nvidia/spark/rapids/GpuOverrides.scala:4356: not found: type GpuMapInPandasExecMeta 01:49:22 [ERROR] (mapPy, conf, p, r) => new GpuMapInPandasExecMeta(mapPy, conf, p, r)), 01:49:22 [ERROR] ^ 01:49:23 [ERROR] /home/ubuntu/spark-rapids/sql-plugin/src/main/scala/com/nvidia/spark/rapids/GpuOverrides.scala:70: Unused import 01:49:23 [ERROR] import org.apache.spark.sql.rapids.shims.{GpuAscii, GpuMapInPandasExecMeta, GpuTimeAdd} 01:49:23 [ERROR] ^ 01:49:25 + SPARK_PLUGIN_JAR_VERSION=24.04.0-SNAPSHOT 01:49:25 ++ mvn -Dmaven.wagon.http.retryHandler.count=3 help:evaluate -q -pl dist -Dexpression=scala.binary.version -DforceStdout 01:49:26 + SCALA_VERSION=2.12 01:49:26 ++ mvn -Dmaven.wagon.http.retryHandler.count=3 help:evaluate -q -pl dist -Dexpression=cuda.version -DforceStdout 01:49:26 [ERROR] /home/ubuntu/spark-rapids/sql-plugin/src/main/scala/com/nvidia/spark/rapids/GpuOverrides.scala:70: object GpuMapInPandasExecMeta is not a member of package org.apache.spark.sql.rapids.shims 01:49:26 [ERROR] import org.apache.spark.sql.rapids.shims.{GpuAscii, GpuMapInPandasExecMeta, GpuTimeAdd} 01:49:26 [ERROR] ^ 01:49:27 + CUDA_VERSION=cuda11 01:49:27 + RAPIDS_BUILT_JAR=rapids-4-spark_2.12-24.04.0-SNAPSHOT.jar 01:49:27 + SKIP_DEP_INSTALL=0 01:49:27 + export M2DIR=/home/ubuntu/.m2/repository 01:49:27 + M2DIR=/home/ubuntu/.m2/repository 01:49:27 + WITH_DEFAULT_UPSTREAM_SHIM=1 01:49:27 + printf '+ %*s +\n' 100 '' 01:49:27 + tr ' ' =
Seems to be an issue with shimming.
The text was updated successfully, but these errors were encountered:
Successfully merging a pull request may close this issue.
From the Databricks build log:
Seems to be an issue with shimming.
The text was updated successfully, but these errors were encountered: