Hi steve
Thx for help . We are on Hadoop3.2 ,however we are building Hadoop3.2 with
Java 8 .
Do you suggest to build Hadoop with Java 11
Regards
Pralabh kumar
On Mon, 13 Jun 2022, 15:25 Steve Loughran, <ste...@cloudera.com> wrote:
>
>
> On Mon, 13 Jun 2022 at 08:52, Pralabh Kumar <pralabhku...@gmail.com>
> wrote:
>
>> Hi Dev team
>>
>> I have a spark32 image with Java 11 (Running Spark on K8s) . While
>> reading a huge parquet file via spark.read.parquet("") . I am getting
>> the following error . The same error is mentioned in Spark docs
>> https://spark.apache.org/docs/latest/#downloading but w.r.t to apache
>> arrow.
>>
>>
>> - IMHO , I think the error is coming from Parquet 1.12.1 which is
>> based on Hadoop 2.10 which is not java 11 compatible.
>>
>>
> correct. see https://issues.apache.org/jira/browse/HADOOP-12760
>
>
> Please let me know if this understanding is correct and is there a way to
>> fix it.
>>
>
>
>
> upgrade to a version of hadoop with the fix. That's any version >= hadoop
> 3.2.0 which shipped since 2018
>
>>
>>
>> java.lang.NoSuchMethodError: 'sun.misc.Cleaner
>> sun.nio.ch.DirectBuffer.cleaner()'
>>
>> at
>> org.apache.hadoop.crypto.CryptoStreamUtils.freeDB(CryptoStreamUtils.java:41)
>>
>> at
>> org.apache.hadoop.crypto.CryptoInputStream.freeBuffers(CryptoInputStream.java:687)
>>
>> at
>> org.apache.hadoop.crypto.CryptoInputStream.close(CryptoInputStream.java:320)
>>
>> at java.base/java.io.FilterInputStream.close(Unknown Source)
>>
>> at
>> org.apache.parquet.hadoop.util.H2SeekableInputStream.close(H2SeekableInputStream.java:50)
>>
>> at
>> org.apache.parquet.hadoop.ParquetFileReader.close(ParquetFileReader.java:1299)
>>
>> at
>> org.apache.spark.sql.execution.datasources.parquet.ParquetFooterReader.readFooter(ParquetFooterReader.java:54)
>>
>> at
>> org.apache.spark.sql.execution.datasources.parquet.ParquetFooterReader.readFooter(ParquetFooterReader.java:44)
>>
>> at
>> org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$.$anonfun$readParquetFootersInParallel$1(ParquetFileFormat.scala:467)
>>
>> at
>> org.apache.spark.util.ThreadUtils$.$anonfun$parmap$2(ThreadUtils.scala:372)
>>
>> at
>> scala.concurrent.Future$.$anonfun$apply$1(Future.scala:659)
>>
>> at scala.util.Success.$anonfun$map$1(Try.scala:255)
>>
>> at scala.util.Success.map(Try.scala:213)
>>
>> at scala.concurrent.Future.$anonfun$map$1(Future.scala:292)
>>
>> at
>> scala.concurrent.impl.Promise.liftedTree1$1(Promise.scala:33)
>>
>> at
>> scala.concurrent.impl.Promise.$anonfun$transform$1(Promise.scala:33)
>>
>> at
>> scala.concurrent.impl.CallbackRunnable.run(Promise.scala:64)
>>
>> at
>> java.base/java.util.concurrent.ForkJoinTask$RunnableExecuteAction.exec(Unknown
>> Source)
>>
>> at
>> java.base/java.util.concurrent.ForkJoinTask.doExec(Unknown Source)
>>
>> at
>> java.base/java.util.concurrent.ForkJoinPool$WorkQueue.topLevelExec(Unknown
>> Source)
>>
>> at java.base/java.util.concurrent.ForkJoinPool.scan(Unknown
>> Source)
>>
>> at
>> java.base/java.util.concurrent.ForkJoinPool.runWorker(Unknown Source)
>>
>> at
>> java.base/java.util.concurrent.ForkJoinWorkerThread.run(Unknown Source)
>>
>
