Spark SQL thrift 服务器不能 运行 集群模式？
Spark SQL thrift server can't run in cluster mode?
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 class 是 运行 是 Spark 库的一部分，所以它不需要分发一个罐子。但出于某种原因，这似乎在这里不起作用。
我将其归档为 SPARK-5176，它将通过一条错误消息来解决，该错误消息解释了 Thrift 服务器无法 运行 集群模式。
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
========================================
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 class 是 运行 是 Spark 库的一部分，所以它不需要分发一个罐子。但出于某种原因，这似乎在这里不起作用。
我将其归档为 SPARK-5176，它将通过一条错误消息来解决，该错误消息解释了 Thrift 服务器无法 运行 集群模式。