Question

我在Kubernetes（Azure Kubernetes服务）上有Apache Spark 2.4.1环境。

Spark容器映像由官方二进制文件（spark-2.4.1-bin-hadoop2.7.tgz）制成。在示例程序（例如PI计算）上运行良好。

但是我使用了使用MlLib的Scala程序并保存了Word2Vec模型，Spark返回了以下错误：

19/04/21 09:08:00 WARN TaskSetManager: Lost task 0.0 in stage 7.0 (TID 29, 10.244.0.43, executor 1): org.apache.spark.SparkException: Task failed while writing rows.
    at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:257)
    at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:170)
    at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:169)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
    at org.apache.spark.scheduler.Task.run(Task.scala:121)
    at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:403)
    at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:409)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.UnsatisfiedLinkError: /tmp/snappy-1.1.7-c798b2d2-1676-4e8a-bc38-a0d90c37c80d-libsnappyjava.so: Error loading shared library ld-linux-x86-64.so.2: No such file or directory (needed by /tmp/snappy-1.1.7-c798b2d2-1676-4e8a-bc38-a0d90c37c80d-libsnappyjava.so)
    at java.lang.ClassLoader$NativeLibrary.load(Native Method)
    at java.lang.ClassLoader.loadLibrary0(ClassLoader.java:1941)
    at java.lang.ClassLoader.loadLibrary(ClassLoader.java:1824)
    at java.lang.Runtime.load0(Runtime.java:809)
    at java.lang.System.load(System.java:1086)
    at org.xerial.snappy.SnappyLoader.loadNativeLibrary(SnappyLoader.java:179)
    at org.xerial.snappy.SnappyLoader.loadSnappyApi(SnappyLoader.java:154)
    at org.xerial.snappy.Snappy.<clinit>(Snappy.java:47)
    at org.apache.parquet.hadoop.codec.SnappyCompressor.compress(SnappyCompressor.java:67)
    at org.apache.hadoop.io.compress.CompressorStream.compress(CompressorStream.java:81)
    at org.apache.hadoop.io.compress.CompressorStream.finish(CompressorStream.java:92)
    at org.apache.parquet.hadoop.CodecFactory$HeapBytesCompressor.compress(CodecFactory.java:165)
    at org.apache.parquet.hadoop.ColumnChunkPageWriteStore$ColumnChunkPageWriter.writePage(ColumnChunkPageWriteStore.java:95)
    at org.apache.parquet.column.impl.ColumnWriterV1.writePage(ColumnWriterV1.java:147)
    at org.apache.parquet.column.impl.ColumnWriterV1.flush(ColumnWriterV1.java:235)
    at org.apache.parquet.column.impl.ColumnWriteStoreV1.flush(ColumnWriteStoreV1.java:122)
    at org.apache.parquet.hadoop.InternalParquetRecordWriter.flushRowGroupToStore(InternalParquetRecordWriter.java:172)
    at org.apache.parquet.hadoop.InternalParquetRecordWriter.close(InternalParquetRecordWriter.java:114)
    at org.apache.parquet.hadoop.ParquetRecordWriter.close(ParquetRecordWriter.java:165)
    at org.apache.spark.sql.execution.datasources.parquet.ParquetOutputWriter.close(ParquetOutputWriter.scala:42)
    at org.apache.spark.sql.execution.datasources.FileFormatDataWriter.releaseResources(FileFormatDataWriter.scala:57)
    at org.apache.spark.sql.execution.datasources.FileFormatDataWriter.commit(FileFormatDataWriter.scala:74)
    at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:247)
    at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:242)
    at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1394)
    at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:248)
    ... 10 more

您有什么建议吗？

Answer 1

根据错误消息，指出* libsnappyjava.so无法找到ld-linux-x86-64.so.2。这是一个glibc动态加载程序。因此，您有两种解决方案：

使用另一个压缩库，例如gzip。
编辑您的DockerFile在您的docker映像中安装libc6-compat

参考：

libsnappyjava-so-error-loading

Answer 2

在添加以下RUN语句并创建了Spark容器的Dockerfile时，此问题已解决。

RUN ln -s /lib/libc.musl-x86_64.so.1 /lib/ld-linux-x86-64.so.2

Spark异常：写入行时任务失败（在Kuberenetes上闪烁）

2 个答案: