我正在尝试使用CDH 5.3.0来运行Spark的Thrift Server。我正在尝试按照 Spark SQL 说明进行操作,但我什至无法获得成功运行的 --help
选项。在下面的输出中,它死了,因为它找不到 HiveServer2 类。
$ /usr/lib/spark/sbin/start-thriftserver.sh --help
Usage./sbin/start-thriftserver [options] [thrift server options]
Options:
--master MASTER_URL spark://host:port, mesos://host:port, yarn, or local.
--deploy-mode DEPLOY_MODE Whether to launch the driver program locally ("client") or
on one of the worker machines inside the cluster ("cluster")
(Default: client).
--class CLASS_NAME Your application's main class (for Java / Scala apps).
--name NAME A name of your application.
--jars JARS Comma-separated list of local jars to include on the driver
and executor classpaths.
--py-files PY_FILES Comma-separated list of .zip, .egg, or .py files to place
on the PYTHONPATH for Python apps.
--files FILES Comma-separated list of files to be placed in the working
directory of each executor.
--conf PROP=VALUE Arbitrary Spark configuration property.
--properties-file FILE Path to a file from which to load extra properties. If not
specified, this will look for conf/spark-defaults.conf.
--driver-memory MEM Memory for driver (e.g. 1000M, 2G) (Default: 512M).
--driver-java-options Extra Java options to pass to the driver.
--driver-library-path Extra library path entries to pass to the driver.
--driver-class-path Extra class path entries to pass to the driver. Note that
jars added with --jars are automatically included in the
classpath.
--executor-memory MEM Memory per executor (e.g. 1000M, 2G) (Default: 1G).
--help, -h Show this help message and exit
--verbose, -v Print additional debug output
Spark standalone with cluster deploy mode only:
--driver-cores NUM Cores for driver (Default: 1).
--supervise If given, restarts the driver on failure.
Spark standalone and Mesos only:
--total-executor-cores NUM Total cores for all executors.
YARN-only:
--executor-cores NUM Number of cores per executor (Default: 1).
--queue QUEUE_NAME The YARN queue to submit to (Default: "default").
--num-executors NUM Number of executors to launch (Default: 2).
--archives ARCHIVES Comma separated list of archives to be extracted into the
working directory of each executor.
Thrift server options:
Exception in thread "main" java.lang.NoClassDefFoundError: org/apache/hive/service/server/HiveServer2
at java.lang.ClassLoader.defineClass1(Native Method)
at java.lang.ClassLoader.defineClass(ClassLoader.java:800)
at java.security.SecureClassLoader.defineClass(SecureClassLoader.java:142)
at java.net.URLClassLoader.defineClass(URLClassLoader.java:449)
at java.net.URLClassLoader.access$100(URLClassLoader.java:71)
at java.net.URLClassLoader$1.run(URLClassLoader.java:361)
at java.net.URLClassLoader$1.run(URLClassLoader.java:355)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:354)
at java.lang.ClassLoader.loadClass(ClassLoader.java:425)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:308)
at java.lang.ClassLoader.loadClass(ClassLoader.java:358)
at sun.launcher.LauncherHelper.checkAndLoadMain(LauncherHelper.java:482)
Caused by: java.lang.ClassNotFoundException: org.apache.hive.service.server.HiveServer2
at java.net.URLClassLoader$1.run(URLClassLoader.java:366)
at java.net.URLClassLoader$1.run(URLClassLoader.java:355)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:354)
at java.lang.ClassLoader.loadClass(ClassLoader.java:425)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:308)
at java.lang.ClassLoader.loadClass(ClassLoader.java:358)
... 13 more
如错误所示,该类不在类路径中。遗憾的是,设置 CLASSPATH 环境变量不起作用。我能找到的唯一解决方案是编辑/usr/lib/spark/bin/compute-classpath.sh
并添加这一行(它几乎可以去任何地方,但从末尾放一行以明确它是一个添加):
CLASSPATH="$CLASSPATH:/usr/lib/hive/lib/*"
Cloudera的5.3.0发行说明明确指出"Spark SQL仍然是CDH中一个实验性和不受支持的功能",因此可能需要这样的调整也就不足为奇了。此外,对CDH 5.2中类似问题的这种回应表明,出于尺寸原因,Cloudera故意排除了Hive罐子。
我遇到了同样的问题,但我以另一种方式解决了它。
cloudera CDH 版本不是 5.3.0,它是该版本之前的某些版本,因此您会发现路径几乎没有不同。
简单的解决方案是将cloudera CDH附带的spark-assembly-**.jar文件替换为另一个版本。
我从其官方下载页面下载了 spark。我下载的版本是为Hadoop2.4及更高版本构建的。解压缩下载的文件并查找火花组装-**.jar。
在cloudera安装中,我查找了相同的文件,并在该路径/usr/lib/spark/libe/spark-assembly--.jar下找到了它
。以前的路径实际上是指向实际文件的符号链接。我将 spark 下载中的 jar 上传到相同的路径,并使符号链接指向新 jar(ln -f -s 目标链接)。
每件事对我来说都很好。
/usr/lib/spark/bin/compute-classpath.sh
设置CLASSPATH="$SPARK_CLASSPATH"
.在使用包裹的 CDH 上,您可以将蜂巢罐添加到SPARK_CLASSPATH
中,如下所示:
SPARK_CLASSPATH=$(ls -1 /opt/cloudera/parcels/CDH/lib/hive/lib/*.jar | sed -e :a -e 'N;s/n/:/;ta') /opt/cloudera/parcels/CDH/lib/spark/sbin/start-thriftserver.sh --help
来自Cloudera社区论坛的说明http://community.cloudera.com/t5/Advanced-Analytics-Apache-Spark/CDH-5-5-does-not-have-Spark-Thrift-Server/m-p/41849#M1758 :
git clone https://github.com/cloudera/spark.git
cd spark
./make-distribution.sh -DskipTests
-Dhadoop.version=2.6.0-cdh5.7.0
-Phadoop-2.6
-Pyarn
-Phive -Phive-thriftserver
-Pflume-provided
-Phadoop-provided
-Phbase-provided
-Phive-provided
-Pparquet-provided
-Phive和-Phive-Thriftserver是那里的关键部分。
有添加 Spark Thrift 服务器的请求https://issues.cloudera.org/browse/DISTRO-817如果您想在 CDH 中看到这一点,请投票。