[jira] [Assigned] (SPARK-33618) hadoop-aws doesn't work
[
https://issues.apache.org/jira/browse/SPARK-33618?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Hyukjin Kwon reassigned SPARK-33618:
Assignee: Dongjoon Hyun
> hadoop-aws doesn't work
> ---
>
> Key: SPARK-33618
> URL: https://issues.apache.org/jira/browse/SPARK-33618
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
>Affects Versions: 3.1.0
>Reporter: Dongjoon Hyun
>Assignee: Dongjoon Hyun
>Priority: Blocker
>
> According to
> [HADOOP-16080](https://issues.apache.org/jira/browse/HADOOP-16080) since
> Apache Hadoop 3.1.1, `hadoop-aws` doesn't work with `hadoop-client-api`. In
> other words, the regression is that `dev/make-distribution.sh -Phadoop-cloud
> ...` doesn't make a complete distribution for cloud support. It fails at
> write operation like the following.
> {code}
> $ bin/spark-shell --conf spark.hadoop.fs.s3a.access.key=$AWS_ACCESS_KEY_ID
> --conf spark.hadoop.fs.s3a.secret.key=$AWS_SECRET_ACCESS_KEY
> 20/11/30 23:01:24 WARN NativeCodeLoader: Unable to load native-hadoop library
> for your platform... using builtin-java classes where applicable
> Using Spark's default log4j profile:
> org/apache/spark/log4j-defaults.properties
> Setting default log level to "WARN".
> To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use
> setLogLevel(newLevel).
> Spark context available as 'sc' (master = local[*], app id =
> local-1606806088715).
> Spark session available as 'spark'.
> Welcome to
> __
> / __/__ ___ _/ /__
> _\ \/ _ \/ _ `/ __/ '_/
>/___/ .__/\_,_/_/ /_/\_\ version 3.1.0-SNAPSHOT
> /_/
> Using Scala version 2.12.10 (OpenJDK 64-Bit Server VM, Java 1.8.0_272)
> Type in expressions to have them evaluated.
> Type :help for more information.
> scala> spark.read.parquet("s3a://dongjoon/users.parquet").show
> 20/11/30 23:01:34 WARN MetricsConfig: Cannot locate configuration: tried
> hadoop-metrics2-s3a-file-system.properties,hadoop-metrics2.properties
> +--+--++
> | name|favorite_color|favorite_numbers|
> +--+--++
> |Alyssa| null| [3, 9, 15, 20]|
> | Ben| red| []|
> +--+--++
> scala> Seq(1).toDF.write.parquet("s3a://dongjoon/out.parquet")
> 20/11/30 23:02:14 ERROR Executor: Exception in task 0.0 in stage 2.0 (TID 2)/
> 1]
> java.lang.NoSuchMethodError:
> org.apache.hadoop.util.SemaphoredDelegatingExecutor.(Lcom/google/common/util/concurrent/ListeningExecutorService;IZ)V
> {code}
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[jira] [Assigned] (SPARK-33618) hadoop-aws doesn't work
[
https://issues.apache.org/jira/browse/SPARK-33618?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-33618:
Assignee: (was: Apache Spark)
> hadoop-aws doesn't work
> ---
>
> Key: SPARK-33618
> URL: https://issues.apache.org/jira/browse/SPARK-33618
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
>Affects Versions: 3.1.0
>Reporter: Dongjoon Hyun
>Priority: Blocker
>
> According to
> [HADOOP-16080](https://issues.apache.org/jira/browse/HADOOP-16080) since
> Apache Hadoop 3.1.1, `hadoop-aws` doesn't work with `hadoop-client-api`. In
> other words, the regression is that `dev/make-distribution.sh -Phadoop-cloud
> ...` doesn't make a complete distribution for cloud support. It fails at
> write operation like the following.
> {code}
> $ bin/spark-shell --conf spark.hadoop.fs.s3a.access.key=$AWS_ACCESS_KEY_ID
> --conf spark.hadoop.fs.s3a.secret.key=$AWS_SECRET_ACCESS_KEY
> 20/11/30 23:01:24 WARN NativeCodeLoader: Unable to load native-hadoop library
> for your platform... using builtin-java classes where applicable
> Using Spark's default log4j profile:
> org/apache/spark/log4j-defaults.properties
> Setting default log level to "WARN".
> To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use
> setLogLevel(newLevel).
> Spark context available as 'sc' (master = local[*], app id =
> local-1606806088715).
> Spark session available as 'spark'.
> Welcome to
> __
> / __/__ ___ _/ /__
> _\ \/ _ \/ _ `/ __/ '_/
>/___/ .__/\_,_/_/ /_/\_\ version 3.1.0-SNAPSHOT
> /_/
> Using Scala version 2.12.10 (OpenJDK 64-Bit Server VM, Java 1.8.0_272)
> Type in expressions to have them evaluated.
> Type :help for more information.
> scala> spark.read.parquet("s3a://dongjoon/users.parquet").show
> 20/11/30 23:01:34 WARN MetricsConfig: Cannot locate configuration: tried
> hadoop-metrics2-s3a-file-system.properties,hadoop-metrics2.properties
> +--+--++
> | name|favorite_color|favorite_numbers|
> +--+--++
> |Alyssa| null| [3, 9, 15, 20]|
> | Ben| red| []|
> +--+--++
> scala> Seq(1).toDF.write.parquet("s3a://dongjoon/out.parquet")
> 20/11/30 23:02:14 ERROR Executor: Exception in task 0.0 in stage 2.0 (TID 2)/
> 1]
> java.lang.NoSuchMethodError:
> org.apache.hadoop.util.SemaphoredDelegatingExecutor.(Lcom/google/common/util/concurrent/ListeningExecutorService;IZ)V
> {code}
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[jira] [Assigned] (SPARK-33618) hadoop-aws doesn't work
[
https://issues.apache.org/jira/browse/SPARK-33618?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-33618:
Assignee: Apache Spark
> hadoop-aws doesn't work
> ---
>
> Key: SPARK-33618
> URL: https://issues.apache.org/jira/browse/SPARK-33618
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
>Affects Versions: 3.1.0
>Reporter: Dongjoon Hyun
>Assignee: Apache Spark
>Priority: Blocker
>
> According to
> [HADOOP-16080](https://issues.apache.org/jira/browse/HADOOP-16080) since
> Apache Hadoop 3.1.1, `hadoop-aws` doesn't work with `hadoop-client-api`. In
> other words, the regression is that `dev/make-distribution.sh -Phadoop-cloud
> ...` doesn't make a complete distribution for cloud support. It fails at
> write operation like the following.
> {code}
> $ bin/spark-shell --conf spark.hadoop.fs.s3a.access.key=$AWS_ACCESS_KEY_ID
> --conf spark.hadoop.fs.s3a.secret.key=$AWS_SECRET_ACCESS_KEY
> 20/11/30 23:01:24 WARN NativeCodeLoader: Unable to load native-hadoop library
> for your platform... using builtin-java classes where applicable
> Using Spark's default log4j profile:
> org/apache/spark/log4j-defaults.properties
> Setting default log level to "WARN".
> To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use
> setLogLevel(newLevel).
> Spark context available as 'sc' (master = local[*], app id =
> local-1606806088715).
> Spark session available as 'spark'.
> Welcome to
> __
> / __/__ ___ _/ /__
> _\ \/ _ \/ _ `/ __/ '_/
>/___/ .__/\_,_/_/ /_/\_\ version 3.1.0-SNAPSHOT
> /_/
> Using Scala version 2.12.10 (OpenJDK 64-Bit Server VM, Java 1.8.0_272)
> Type in expressions to have them evaluated.
> Type :help for more information.
> scala> spark.read.parquet("s3a://dongjoon/users.parquet").show
> 20/11/30 23:01:34 WARN MetricsConfig: Cannot locate configuration: tried
> hadoop-metrics2-s3a-file-system.properties,hadoop-metrics2.properties
> +--+--++
> | name|favorite_color|favorite_numbers|
> +--+--++
> |Alyssa| null| [3, 9, 15, 20]|
> | Ben| red| []|
> +--+--++
> scala> Seq(1).toDF.write.parquet("s3a://dongjoon/out.parquet")
> 20/11/30 23:02:14 ERROR Executor: Exception in task 0.0 in stage 2.0 (TID 2)/
> 1]
> java.lang.NoSuchMethodError:
> org.apache.hadoop.util.SemaphoredDelegatingExecutor.(Lcom/google/common/util/concurrent/ListeningExecutorService;IZ)V
> {code}
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