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Posted to commits@hudi.apache.org by GitBox <gi...@apache.org> on 2022/01/07 15:46:40 UTC
[GitHub] [hudi] Guanpx opened a new issue #4539: [SUPPORT] spark 2.4.0 write data to hudi ERROR (0.10.0)
Guanpx opened a new issue #4539:
URL: https://github.com/apache/hudi/issues/4539
**Describe the problem you faced**
use spark 2.4.0
Exception in thread "main" java.lang.NoSuchMethodError: org.apache.spark.sql.execution.datasources.DataSourceUtils$.PARTITIONING_COLUMNS_KEY()Ljava/lang/String;
**To Reproduce**
Steps to reproduce the behavior:
1. spark writer data to hudi
**Expected behavior**
a sample code
```
val spark: SparkSession = SparkSession.builder()
.appName("test")
.master("local[3]")
.config(SPARK_SERIALIZER,SPARK_SERIALIZER_VALUE)
.getOrCreate()
val df: DataFrame = spark.
read
.format("hudi")
.load("hdfs://pre-cdh01.com:8020/hudi/rd/app_columns")
.where("id in (6373, 6382)")
df.show()
df.write
.format("hudi")
.options(getQuickstartWriteConfigs)
.option(PRECOMBINE_FIELD.key(), "create_time")
.option(RECORDKEY_FIELD.key(), "id")
.option(TABLE_NAME.key(), "app_columns")
.mode(SaveMode.Append).
save("hdfs://pre-cdh01.com:8020/hudi/rd/app_columns")
```
**Environment Description**
* Hudi version : 0.10.0
* Spark version : 2.4.0-cdh6
* Hive version : 2.1.1-cdh6
* Hadoop version : 3.0.0-cdh6
* Storage (HDFS/S3/GCS..) : HDFS
* Running on Docker? (yes/no) : no
**Additional context**
[links](https://github.com/apache/hudi/issues/3191)
hudi use org.apache.spark.sql.execution.datasources.DataSourceUtils$.PARTITIONING_COLUMNS_KEY()
in [code](https://github.com/apache/hudi/blob/release-0.10.0/hudi-spark-datasource/hudi-spark-common/src/main/scala/org/apache/hudi/DataSourceOptions.scala#L214)
our spark can not upgrade, so, if **replace hudi source code
SparkDataSourceUtils.PARTITIONING_COLUMNS_KEY TO string "__partition_columns" or delete that code will Impact on other functions?**
**Stacktrace**
```
Exception in thread "main" java.lang.NoSuchMethodError: org.apache.spark.sql.execution.datasources.DataSourceUtils$.PARTITIONING_COLUMNS_KEY()Ljava/lang/String;
at org.apache.hudi.DataSourceWriteOptions$.translateSqlOptions(DataSourceOptions.scala:214)
at org.apache.hudi.HoodieSparkSqlWriter$.mergeParamsAndGetHoodieConfig(HoodieSparkSqlWriter.scala:721)
at org.apache.hudi.HoodieSparkSqlWriter$.write(HoodieSparkSqlWriter.scala:91)
at org.apache.hudi.DefaultSource.createRelation(DefaultSource.scala:164)
at org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:45)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:70)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:68)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:86)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:80)
at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:80)
at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:668)
at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:668)
at org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:78)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:125)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:73)
at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:668)
at org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:276)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:270)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:228)
at juzishuke.spark.ReadOrWriteHudi$.main(ReadOrWriteHudi.scala:42)
at juzishuke.spark.ReadOrWriteHudi.main(ReadOrWriteHudi.scala)
```
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[GitHub] [hudi] Guanpx commented on issue #4539: [SUPPORT] spark 2.4.0 write data to hudi ERROR (0.10.0)
Posted by GitBox <gi...@apache.org>.
Guanpx commented on issue #4539:
URL: https://github.com/apache/hudi/issues/4539#issuecomment-1007514186
#3191
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[GitHub] [hudi] nsivabalan commented on issue #4539: [SUPPORT] spark 2.4.0 write data to hudi ERROR (0.10.0)
Posted by GitBox <gi...@apache.org>.
nsivabalan commented on issue #4539:
URL: https://github.com/apache/hudi/issues/4539#issuecomment-1012254261
Closing the issue out as we don't have much AI from our side.
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[GitHub] [hudi] Guanpx commented on issue #4539: [SUPPORT] spark 2.4.0 write data to hudi ERROR (0.10.0)
Posted by GitBox <gi...@apache.org>.
Guanpx commented on issue #4539:
URL: https://github.com/apache/hudi/issues/4539#issuecomment-1007514186
#3191
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[GitHub] [hudi] nsivabalan closed issue #4539: [SUPPORT] spark 2.4.0 write data to hudi ERROR (0.10.0)
Posted by GitBox <gi...@apache.org>.
nsivabalan closed issue #4539:
URL: https://github.com/apache/hudi/issues/4539
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[GitHub] [hudi] nsivabalan commented on issue #4539: [SUPPORT] spark 2.4.0 write data to hudi ERROR (0.10.0)
Posted by GitBox <gi...@apache.org>.
nsivabalan commented on issue #4539:
URL: https://github.com/apache/hudi/issues/4539#issuecomment-1008230027
2.4.0 is not supported. Can you try with 2.4.3 or higher spark versions.
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[GitHub] [hudi] Guanpx commented on issue #4539: [SUPPORT] spark 2.4.0 write data to hudi ERROR (0.10.0)
Posted by GitBox <gi...@apache.org>.
Guanpx commented on issue #4539:
URL: https://github.com/apache/hudi/issues/4539#issuecomment-1008493909
> 2.4.0 is not supported. Can you try with 2.4.3 or higher spark versions.
our spark can not upgrade, so, if replace hudi source code
SparkDataSourceUtils.PARTITIONING_COLUMNS_KEY TO string "__partition_columns" or delete that code will Impact on other functions?
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[GitHub] [hudi] nsivabalan commented on issue #4539: [SUPPORT] spark 2.4.0 write data to hudi ERROR (0.10.0)
Posted by GitBox <gi...@apache.org>.
nsivabalan commented on issue #4539:
URL: https://github.com/apache/hudi/issues/4539#issuecomment-1009419865
I am not sure on that. Dont' think anyone has ever tried that. in general, would not recommend doing such custom changes. But if you want to, do give it a try and let us know how it goes.
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[GitHub] [hudi] Guanpx edited a comment on issue #4539: [SUPPORT] spark 2.4.0 write data to hudi ERROR (0.10.0)
Posted by GitBox <gi...@apache.org>.
Guanpx edited a comment on issue #4539:
URL: https://github.com/apache/hudi/issues/4539#issuecomment-1007514186
#3191
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[GitHub] [hudi] Guanpx edited a comment on issue #4539: [SUPPORT] spark 2.4.0 write data to hudi ERROR (0.10.0)
Posted by GitBox <gi...@apache.org>.
Guanpx edited a comment on issue #4539:
URL: https://github.com/apache/hudi/issues/4539#issuecomment-1007514186
#3191
--
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