将Spark3安装到redhat 7后，一切似乎都在运行。
```
os.environ['SPARK_HOME'] = "/users/spark/spark-3.0.0-bin-hadoop3.2"
os.environ['JAVA_HOME'] ="/usr/lib/jvm/java-1.8.0-openjdk-1.8.0.222.b10-0.el7_6.x86_64/jre"
```
一种简单的连接dat.join(ids_df, on=['symbol']).show()
点击此错误。有人能帮忙吗？非常感谢。
Exception in thread "map-output-dispatcher-0" java.lang.UnsatisfiedLinkError: no zstd-jni in java.library.path
Unsupported OS/arch, cannot find /linux/amd64/libzstd-jni.so or load zstd-jni from system libraries. Please try building from source the jar or providing l ibzstd-jni in your system.
at java.lang.ClassLoader.loadLibrary(ClassLoader.java:1867)
at java.lang.Runtime.loadLibrary0(Runtime.java:870)
at java.lang.System.loadLibrary(System.java:1122)
at com.github.luben.zstd.util.Native.load(Native.java:108)
at com.github.luben.zstd.util.Native.load(Native.java:60)
at com.github.luben.zstd.ZstdOutputStream.<clinit>(ZstdOutputStream.java:15)
at org.apache.spark.io.ZStdCompressionCodec.compressedOutputStream(CompressionCodec.scala:224)
at org.apache.spark.MapOutputTracker$.serializeMapStatuses(MapOutputTracker.scala:913)
at org.apache.spark.ShuffleStatus.$anonfun$serializedMapStatus$2(MapOutputTracker.scala:210)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at org.apache.spark.ShuffleStatus.withWriteLock(MapOutputTracker.scala:72)
at org.apache.spark.ShuffleStatus.serializedMapStatus(MapOutputTracker.scala:207)
at org.apache.spark.MapOutputTrackerMaster$MessageLoop.run(MapOutputTracker.scala:457)
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)
您需要在RedHat 7上安装libzstd，并使用root用户执行yum-install命令
-
对于64位系统
yum install libzstd.x86_64 -
对于32位系统
yum install libzstd.i686