Spark平臺上提交作業到集群生成的日志文件是什么

今天就跟大家聊聊有關Spark平臺上提交作業到集群生成的日志文件是什么,可能很多人都不太了解,為了讓大家更加了解,小編給大家總結了以下內容,希望大家根據這篇文章可以有所收獲。

創新互聯服務項目包括白云網站建設、白云網站制作、白云網頁制作以及白云網絡營銷策劃等。多年來,我們專注于互聯網行業,利用自身積累的技術優勢、行業經驗、深度合作伙伴關系等,向廣大中小型企業、政府機構等提供互聯網行業的解決方案,白云網站推廣取得了明顯的社會效益與經濟效益。目前,我們服務的客戶以成都為中心已經輻射到白云省份的部分城市,未來相信會繼續擴大服務區域并繼續獲得客戶的支持與信任!

Created by Wang, Jerry, last modified on Aug 16, 2015

./spark-class org.apache.spark.deploy.worker.Worker spark://NKGV50849583FV1:7077
NKGV50849583FV1:~/devExpert/spark-1.4.1/bin # ./spark-class org.apache.spark.deploy.worker.Worker spark://NKGV50849583FV1:7077
added by Jerry: loading load-spark-env.sh !!!1
added by Jerry:…
/root/devExpert/spark-1.4.1/conf
added by Jerry, number of Jars: 1
added by Jerry, launch_classpath: /root/devExpert/spark-1.4.1/assembly/target/scala-2.10/spark-assembly-1.4.1-hadoop2.4.0.jar
added by Jerry,RUNNER:/usr/jdk1.7.0_79/bin/java
added by Jerry, printf argument list: org.apache.spark.deploy.worker.Worker spark://NKGV50849583FV1:7077
added by Jerry, I am in if-else branch: /usr/jdk1.7.0_79/bin/java -cp /root/devExpert/spark-1.4.1/conf/:/root/devExpert/spark-1.4.1/assembly/target/scala-2.10/spark-assembly-1.4.1-hadoop2.4.0.jar:/root/devExpert/spark-1.4.1/lib_managed/jars/datanucleus-rdbms-3.2.9.jar:/root/devExpert/spark-1.4.1/lib_managed/jars/datanucleus-core-3.2.10.jar:/root/devExpert/spark-1.4.1/lib_managed/jars/datanucleus-api-jdo-3.2.6.jar -Xms512m -Xmx512m -XX:MaxPermSize=256m org.apache.spark.deploy.worker.Worker spark://NKGV50849583FV1:7077
Using Spark’s default log4j profile: org/apache/spark/log4j-defaults.properties
15/08/16 12:55:28 INFO Worker: Registered signal handlers for [TERM, HUP, INT]

15/08/16 12:55:28 WARN Utils: Your hostname, NKGV50849583FV1 resolves to a loopback address: 127.0.0.1; using 10.128.184.131 instead (on interface eth0)
15/08/16 12:55:28 WARN Utils: Set SPARK_LOCAL_IP if you need to bind to another address
15/08/16 12:55:29 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform… using builtin-java classes where applicable
15/08/16 12:55:29 INFO SecurityManager: Changing view acls to: root
15/08/16 12:55:29 INFO SecurityManager: Changing modify acls to: root
15/08/16 12:55:29 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(root); users with modify permissions: Set(root)
15/08/16 12:55:30 INFO Slf4jLogger: Slf4jLogger started
15/08/16 12:55:30 INFO Remoting: Starting remoting
15/08/16 12:55:30 INFO Remoting: Remoting started; listening on addresses :[akka.tcp://sparkWorker@10.128.184.131:42568]
15/08/16 12:55:30 INFO Utils: Successfully started service ‘sparkWorker’ on port 42568.

15/08/16 12:55:30 INFO Worker: Starting Spark worker 10.128.184.131:42568 with 8 cores, 30.4 GB RAM

15/08/16 12:55:30 INFO Worker: Running Spark version 1.4.1
15/08/16 12:55:30 INFO Worker: Spark home: /root/devExpert/spark-1.4.1
15/08/16 12:55:30 INFO Utils: Successfully started service ‘WorkerUI’ on port 8081.
15/08/16 12:55:30 INFO WorkerWebUI: Started WorkerWebUI at http://10.128.184.131:8081

15/08/16 12:55:30 INFO Worker: Connecting to master akka.tcp://sparkMaster@NKGV50849583FV1:7077/user/Master…
15/08/16 12:55:30 INFO Worker: Successfully registered with master spark://NKGV50849583FV1:7077

If I quit the worker session,

Spark平臺上提交作業到集群生成的日志文件是什么

I can also observe this in master’s log:

28 15/08/16 12:55:30 INFO Master: Registering worker 10.128.184.131:42568 with 8 cores, 30.4 GB RAM
29 15/08/16 13:00:19 WARN Master: Removing worker-20150816125530-10.128.184.131-42568 because we got no heartbeat in 60 seconds
30 15/08/16 13:00:19 INFO Master: Removing worker worker-20150816125530-10.128.184.131-42568 on 10.128.184.131:42568

看完上述內容,你們對Spark平臺上提交作業到集群生成的日志文件是什么有進一步的了解嗎?如果還想了解更多知識或者相關內容,請關注創新互聯行業資訊頻道,感謝大家的支持。

當前標題:Spark平臺上提交作業到集群生成的日志文件是什么
鏈接地址:http://m.kartarina.com/article16/pgocdg.html

成都網站建設公司_創新互聯,為您提供品牌網站設計定制開發品牌網站建設用戶體驗關鍵詞優化服務器托管

廣告

聲明:本網站發布的內容(圖片、視頻和文字)以用戶投稿、用戶轉載內容為主,如果涉及侵權請盡快告知,我們將會在第一時間刪除。文章觀點不代表本網站立場,如需處理請聯系客服。電話:028-86922220;郵箱:631063699@qq.com。內容未經允許不得轉載,或轉載時需注明來源: 創新互聯

網站優化排名
主站蜘蛛池模板: 精品国产aⅴ无码一区二区| 久久国产精品无码HDAV| 久久人妻少妇嫩草AV无码蜜桃| 精品无码人妻一区二区三区品| 无码av人妻一区二区三区四区| 无码一区二区三区AV免费| 久久人午夜亚洲精品无码区| 西西4444www大胆无码| 亚洲AV无码精品色午夜果冻不卡| 久久午夜无码免费| 亚洲国产成人精品无码区二本| 国产精品无码久久综合| 国模无码一区二区三区| 亚洲AV中文无码乱人伦下载| 久久人妻少妇嫩草AV无码蜜桃| 日韩免费无码一区二区三区| 日本无码色情三级播放| 中文字幕无码av激情不卡久久| 亚洲一区二区三区无码国产| 一本大道无码人妻精品专区| 影音先锋中文无码一区| 人妻无码第一区二区三区| 国产成人AV片无码免费| 国产成人精品一区二区三区无码| heyzo专区无码综合| WWW久久无码天堂MV| 无码人妻久久一区二区三区蜜桃| 中文AV人妻AV无码中文视频 | 中文字幕无码av激情不卡| 无码毛片AAA在线| 久久精品无码午夜福利理论片| 中文字幕av无码专区第一页| 亚洲成?Ⅴ人在线观看无码| 亚洲成av人片在线观看天堂无码 | 亚洲成av人片天堂网无码】| 无码av高潮喷水无码专区线| 亚洲AV无码一区二区三区性色 | 影音先锋中文无码一区| 无码任你躁久久久久久老妇App| 国产乱妇无码大片在线观看| 亚洲AV无码AV男人的天堂不卡|