Datastax 6独立分析服务器-Java 学习之路

我下载了数据传输6并希望启动一个（在Mac El Capitan上）分析（火花很好，但火花搜索会很好） . 我解压缩了gz，配置了目录结构并执行了 dse cassandra -ks . 启动似乎工作得很好，我可以到火花主节点，问题是当我运行 dse spark-sql （或只是火花） . 我经常遇到以下错误：是否可以设置单个节点进行开发？

ERROR [ExecutorRunner for app-20180623083819-0000/212] 2018-06-23 08:40:28,323 SPARK-WORKER Logging.scala:91 - Error running executor
java.lang.IllegalStateException: Cannot find any build directories.
    at org.apache.spark.launcher.CommandBuilderUtils.checkState(CommandBuilderUtils.java:248) ~[spark-launcher_2.11-2.2.0.14.jar:2.2.0.14]
    at org.apache.spark.launcher.AbstractCommandBuilder.getScalaVersion(AbstractCommandBuilder.java:240) ~[spark-launcher_2.11-2.2.0.14.jar:2.2.0.14]
    at org.apache.spark.launcher.AbstractCommandBuilder.buildClassPath(AbstractCommandBuilder.java:194) ~[spark-launcher_2.11-2.2.0.14.jar:2.2.0.14]
    at org.apache.spark.launcher.AbstractCommandBuilder.buildJavaCommand(AbstractCommandBuilder.java:117) ~[spark-launcher_2.11-2.2.0.14.jar:2.2.0.14]
    at org.apache.spark.launcher.WorkerCommandBuilder.buildCommand(WorkerCommandBuilder.scala:39) ~[spark-core_2.11-2.2.0.14.jar:2.2.0.14]
    at org.apache.spark.launcher.WorkerCommandBuilder.buildCommand(WorkerCommandBuilder.scala:45) ~[spark-core_2.11-2.2.0.14.jar:2.2.0.14]
    at org.apache.spark.deploy.worker.CommandUtils$.buildCommandSeq(CommandUtils.scala:63) ~[spark-core_2.11-2.2.0.14.jar:6.0.0]
    at org.apache.spark.deploy.worker.CommandUtils$.buildProcessBuilder(CommandUtils.scala:51) ~[spark-core_2.11-2.2.0.14.jar:6.0.0]
    at org.apache.spark.deploy.worker.ExecutorRunner.fetchAndRunExecutor(ExecutorRunner.scala:150) ~[spark-core_2.11-2.2.0.14.jar:6.0.0]
    at org.apache.spark.deploy.worker.DseExecutorRunner$$anon$2.run(DseExecutorRunner.scala:80) [dse-spark-6.0.0.jar:6.0.0]
INFO  [dispatcher-event-loop-7] 2018-06-23 08:40:28,323 SPARK-WORKER Logging.scala:54 - Executor app-20180623083819-0000/212 finished with state FAILED message java.lang.IllegalStateException: Cannot find any build directories.
INFO  [dispatcher-event-loop-7] 2018-06-23 08:40:28,324 SPARK-MASTER Logging.scala:54 - Removing executor app-20180623083819-0000/212 because it is FAILED
INFO  [dispatcher-event-loop-0] 2018-06-23 08:40:30,288 SPARK-MASTER Logging.scala:54 - Received unregister request from application app-20180623083819-0000
INFO  [dispatcher-event-loop-0] 2018-06-23 08:40:30,292 SPARK-MASTER Logging.scala:54 - Removing app app-20180623083819-0000
INFO  [dispatcher-event-loop-0] 2018-06-23 08:40:30,295 SPARK-MASTER CassandraPersistenceEngine.scala:50 - Removing existing object

1 回答

检查_254309_中的目录 /var/lib/... - 你应该具有对它们的写访问权限...例如，检查DSEFS目录是否正确配置，AlwaysOn SQL目录等 .

但实际上，应该通过启动DSE作为 dse cassandra -s -k 而不是 -sk 来解决问题...

附：我正在使用以下脚本将日志等指向特定目录：

export CASSANDRA_HOME=WHERE_YOU_EXTRACTED
export DATA_BASE_DIR=SOME_DIRECTORY
export DSE_DATA=${DATA_BASE_DIR}/data
export DSE_LOGS=${DATA_BASE_DIR}/logs
# set up where you want log so you don’t have to mess with logback.xml files
export CASSANDRA_LOG_DIR=$DSE_LOGS/cassandra
mkdir -p $CASSANDRA_LOG_DIR
# so we don’t have to play with dse-spark-env.sh
export SPARK_WORKER_DIR=$DSE_DATA/spark/worker
# new setting in 6.0, in older versions set SPARK_LOCAL_DIRS
export SPARK_EXECUTOR_DIRS=$DSE_DATA/spark/rdd
export SPARK_LOCAL_DIRS=$DSE_DATA/spark/rdd
mkdir -p $SPARK_LOCAL_DIRS
export SPARK_WORKER_LOG_DIR=$DSE_DATA/spark/worker/
export SPARK_MASTER_LOG_DIR=$DSE_DATA/spark/master
# if you want to run the always on sql server
export ALWAYSON_SQL_LOG_DIR=$DSE_DATA/spark/alwayson_sql_server
export ALWAYSON_SQL_SERVER_AUDIT_LOG_DIR=$DSE_DATA/spark/alwayson_sql_server
# so tomcat logs for solr goes to a place we know
export TOMCAT_LOGS=$DSE_LOGS/tomcat

PATH=${CASSANDRA_HOME}/bin:${CASSANDRA_HOME}/resources/cassandra/tools/bin:$PATH

回复于 2024-05-02T23:33:48+08:00

Datastax 6独立分析服务器

1 回答

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