是否需要一个特别的OpenJDK版本来支持新的苹果硅芯片?
我看到目前有macOS/OS X的JDK下载,但这些似乎只适用于x86处理器。对吗?如果是这样,我可以在哪里下载用于M1的OpenJDK版本?
是否需要一个特别的OpenJDK版本来支持新的苹果硅芯片?
我看到目前有macOS/OS X的JDK下载,但这些似乎只适用于x86处理器。对吗?如果是这样,我可以在哪里下载用于M1的OpenJDK版本?
当前回答
以下是安装Oracle JDK 8并从Rosetta - https://www.oracle.com/in/java/technologies/javase/javase-jdk8-downloads.html运行它的步骤
下载macOS x64版本 在尝试安装该包时,如果Rosetta已经不存在,您将收到安装它的提示 其余的安装步骤与任何其他包相同。
您可以通过打开终端并输入以下命令来验证它是否工作:
java -version
其他回答
我尝试过Azul JDK 8。
我只是想说,虽然Azul JDK在Apple M1上原生运行,而且速度非常快,但仍然存在一些问题。特别是当一些Java代码需要调用c++代码时。
例如,我是一名大数据开发人员。我开始使用Azul JDK进行开发工作流程。但是我注意到切换后某些测试开始失败。例如,当测试写入Parquet/Avro文件时,它会失败。我认为这是因为有一些用c++为Parquet/Avro编写的原生东西,而不是为M1编译的。
由于这个特殊的原因,我被迫使用速度较慢的非m1 JDK。没有什么问题。
这里有一个我用Azul得到的错误的例子,我没有得到非m1 jdk:
- convert Base64 JSON back to rpo Avro *** FAILED ***
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 10.0 failed 1 times, most recent failure: Lost task 0.0 in stage 10.0 (TID 14, localhost, executor driver): org.xerial.snappy.SnappyError: [FAILED_TO_LOAD_NATIVE_LIBRARY] no native library is found for os.name=Mac and os.arch=aarch64
at org.xerial.snappy.SnappyLoader.findNativeLibrary(SnappyLoader.java:331)
at org.xerial.snappy.SnappyLoader.loadNativeLibrary(SnappyLoader.java:171)
at org.xerial.snappy.SnappyLoader.load(SnappyLoader.java:152)
at org.xerial.snappy.Snappy.<clinit>(Snappy.java:47)
at org.apache.avro.file.SnappyCodec.compress(SnappyCodec.java:43)
at org.apache.avro.file.DataFileStream$DataBlock.compressUsing(DataFileStream.java:358)
at org.apache.avro.file.DataFileWriter.writeBlock(DataFileWriter.java:382)
at org.apache.avro.file.DataFileWriter.sync(DataFileWriter.java:401)
at org.apache.avro.file.DataFileWriter.flush(DataFileWriter.java:410)
at org.apache.avro.file.DataFileWriter.close(DataFileWriter.java:433)
at org.apache.avro.mapred.AvroOutputFormat$1.close(AvroOutputFormat.java:170)
at org.apache.spark.internal.io.SparkHadoopWriter.close(SparkHadoopWriter.scala:101)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1$$anonfun$12$$anonfun$apply$5.apply$mcV$sp(PairRDDFunctions.scala:1145)
at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1393)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1$$anonfun$12.apply(PairRDDFunctions.scala:1145)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1$$anonfun$12.apply(PairRDDFunctions.scala:1125)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:108)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1499)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1487)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1486)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1486)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:814)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:814)
at scala.Option.foreach(Option.scala:257)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:814)
...
Cause: org.xerial.snappy.SnappyError: [FAILED_TO_LOAD_NATIVE_LIBRARY] no native library is found for os.name=Mac and os.arch=aarch64
at org.xerial.snappy.SnappyLoader.findNativeLibrary(SnappyLoader.java:331)
at org.xerial.snappy.SnappyLoader.loadNativeLibrary(SnappyLoader.java:171)
at org.xerial.snappy.SnappyLoader.load(SnappyLoader.java:152)
at org.xerial.snappy.Snappy.<clinit>(Snappy.java:47)
at org.apache.avro.file.SnappyCodec.compress(SnappyCodec.java:43)
at org.apache.avro.file.DataFileStream$DataBlock.compressUsing(DataFileStream.java:358)
at org.apache.avro.file.DataFileWriter.writeBlock(DataFileWriter.java:382)
at org.apache.avro.file.DataFileWriter.sync(DataFileWriter.java:401)
at org.apache.avro.file.DataFileWriter.flush(DataFileWriter.java:410)
at org.apache.avro.file.DataFileWriter.close(DataFileWriter.java:433)
正如你所看到的,它说:Cause: org.xerial.snappy.SnappyError: [FAILED_TO_LOAD_NATIVE_LIBRARY] no native library is found for os.name=Mac and os.arch=aarch64
我谷歌了一下这个问题,他们说原生库是为Spark的后续版本编译的,不幸的是。
这让我非常沮丧,我现在想要一台Windows笔记本电脑,哈哈。在M1芯片上运行Intel JDK有时会很慢,我不希望这样。
小心!
Update: They released new versions of their libraries with support for M1, I updated them in the projects and everything works, thank God. Sometimes these "native code errors" manifest themselves with different exceptions and this is additional P.I.T.A. that I have to deal with while my colleagues on windows laptops don't need to deal with it. The errors can be a bit unclear sometimes, but if you see something about native code in the error log, or words like "jna" or "jni", then it's an M1 chip problem.
请到Azul网站下载。dmg文件:
https://www.azul.com/downloads/zulu-community/?os=macos&architecture=arm-64-bit&package=jdk
它将被放置在一个库中,一旦IntelliJ IDEA识别出它,就应该可以运行了。
Azul在其网站的下载部分提供macOS ARM版本的OpenJDK。虽然我还没有尝试过,但Azul一直是JDK的长期开发人员。
一旦你解包了Azul JDK,你必须在它里面翻找,直到你找到zulu-11。jdk目录(假设您已经下载了jdk 11),然后将其复制到/Library/Java/JavaVirtualMachines。
我成功地使用Azul OpenJDK和NetBeans在新的Apple M1芯片上开发Java应用程序。
配置:
zulu16.0.65-ea-jdk16.0.0-ea.24-macos_aarch64 NetBeans 12.1和Maven。
您可以使用sdkman安装Java JDK(参见sdkman install):
vim .sdkman/etc/config
设置sdkman_rosetta2_compatible=false(参见sdkman config)
之后,您将看到一个与M1 jdk兼容的列表:
sdk list java
================================================================================
Available Java Versions
================================================================================
Vendor | Use | Version | Dist | Status | Identifier
--------------------------------------------------------------------------------
Azul Zulu | | 16.0.1 | zulu | | 16.0.1-zulu
| | 11.0.11 | zulu | | 11.0.11-zulu
| | 8.0.292 | zulu | | 8.0.292-zulu
BellSoft | | 16.0.1 | librca | | 16.0.1-librca
| | 11.0.11 | librca | | 11.0.11-librca
| | 8.0.292 | librca | | 8.0.292-librca
Java.net | | 18.ea.3 | open | | 18.ea.3-open
| | 18.ea.2 | open | | 18.ea.2-open
| | 18.ea.1 | open | | 18.ea.1-open
| | 17.ea.28 | open | | 17.ea.28-open
| | 17.ea.27 | open | | 17.ea.27-open
| | 17.ea.26 | open | | 17.ea.26-open
| | 17.ea.25 | open | | 17.ea.25-open
================================================================================
选择一个并使用命令sdk install java IDENTIFIER安装它,即:
SDK安装Java 8.0.292-zulu