apache-spark - Spark SQL thrift server 不能在集群模式下运行？

Question

在 Spark 1.2.0 中，当我尝试以集群模式启动 Spark SQL thrift 服务器时，我得到以下输出:

Spark assembly has been built with Hive, including Datanucleus jars on classpath
Spark Command: /usr/java/latest/bin/java -cp ::/home/tpanning/Projects/spark/spark-1.2.0-bin-hadoop2.4/sbin/../conf:/home/tpanning/Projects/spark/spark-1.2.0-bin-hadoop2.4/lib/spark-assembly-1.2.0-hadoop2.4.0.jar:/home/tpanning/Projects/spark/spark-1.2.0-bin-hadoop2.4/lib/datanucleus-core-3.2.10.jar:/home/tpanning/Projects/spark/spark-1.2.0-bin-hadoop2.4/lib/datanucleus-rdbms-3.2.9.jar:/home/tpanning/Projects/spark/spark-1.2.0-bin-hadoop2.4/lib/datanucleus-api-jdo-3.2.6.jar -XX:MaxPermSize=128m -Xms512m -Xmx512m org.apache.spark.deploy.SparkSubmit --class org.apache.spark.sql.hive.thriftserver.HiveThriftServer2 --deploy-mode cluster --master spark://xd-spark.xdata.data-tactics-corp.com:7077 spark-internal
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Jar url 'spark-internal' is not in valid format.
Must be a jar file path in URL format (e.g. hdfs://host:port/XX.jar, file:///XX.jar)

Usage: DriverClient [options] launch <active-master> <jar-url> <main-class> [driver options]
Usage: DriverClient kill <active-master> <driver-id>

Options:
   -c CORES, --cores CORES        Number of cores to request (default: 1)
   -m MEMORY, --memory MEMORY     Megabytes of memory to request (default: 512)
   -s, --supervise                Whether to restart the driver on failure
   -v, --verbose                  Print more debugging output

Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties

“spark-internal”参数似乎是一个特殊的标志，告诉 spark-submit 要运行的类是 Spark 库的一部分，因此它不需要分发 jar。但出于某种原因，这似乎在这里不起作用。

Answer 1

我将其归档为 SPARK-5176它将通过解释 Thrift 服务器无法在集群模式下运行的错误消息来解决。