[jira] [Closed] (HUDI-4971) aws bundle causes class loading issue

["Raymond Xu (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/HUDI-4971?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Raymond Xu closed HUDI-4971.
----------------------------
    Resolution: Fixed

> aws bundle causes class loading issue
> -------------------------------------
>
>                 Key: HUDI-4971
>                 URL: https://issues.apache.org/jira/browse/HUDI-4971
>             Project: Apache Hudi
>          Issue Type: Bug
>          Components: dependencies
>            Reporter: Raymond Xu
>            Assignee: Raymond Xu
>            Priority: Critical
>              Labels: pull-request-available
>             Fix For: 0.12.2
>
>
> Putting aws bundle first before spark bundle will cause class loading issue
> {code}
> Caused by: java.lang.ClassNotFoundException: org.apache.hudi.org.objenesis.strategy.InstantiatorStrategy
>   at java.net.URLClassLoader.findClass(URLClassLoader.java:387)
>   at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
>   at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
> {code}
> Reprod with quickstart example.
> {code:bash}
> spark-shell \
> --jars /tmp/spark31/hudi-aws-bundle-0.12.1-rc1.jar,/tmp/spark31/hudi-spark3.1-bundle_2.12-0.12.1-rc1.jar \
> --conf 'spark.serializer=org.apache.spark.serializer.KryoSerializer' \
> --conf 'spark.sql.extensions=org.apache.spark.sql.hudi.HoodieSparkSessionExtension'
> {code}
> {code:scala}
> // spark-shell
> import org.apache.hudi.QuickstartUtils._
> import scala.collection.JavaConversions._
> import org.apache.spark.sql.SaveMode._
> import org.apache.hudi.DataSourceReadOptions._
> import org.apache.hudi.DataSourceWriteOptions._
> import org.apache.hudi.config.HoodieWriteConfig._
> import org.apache.hudi.common.model.HoodieRecord
> val tableName = "hudi_trips_cow"
> val basePath = "file:///tmp/hudi_trips_cow"
> val dataGen = new DataGenerator
> val snapshotQuery = "SELECT begin_lat, begin_lon, driver, end_lat, end_lon, fare, partitionpath, rider, ts, uuid FROM hudi_ro_table"
> val inserts = convertToStringList(dataGen.generateInserts(10))
> val df = spark.read.json(spark.sparkContext.parallelize(inserts, 2))
> df.write.format("hudi").
>   options(getQuickstartWriteConfigs).
>   option(PRECOMBINE_FIELD_OPT_KEY, "ts").
>   option(RECORDKEY_FIELD_OPT_KEY, "uuid").
>   option(PARTITIONPATH_FIELD_OPT_KEY, "partitionpath").
>   option(TABLE_NAME, tableName).
>   mode(Overwrite).
>   save(basePath)
> {code}



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