译者语 为加深对JVM的了解和日后查阅时更方便,于是对原文进行翻译。内容是建立在我对JVM的认识的基础上翻译的,加上本人的英语水平有限
腾讯云资深架构师王少华日前在 2018 开源数据库论坛(ODF)暨首届MariaDB中国用户者 大会上做了主题为“TXSQL Internals @2018”的主题演讲,本次分享从五个方面介绍TXSQL
PySpark Internals 通过上面的介绍。我们已经清楚Sparkclient内置pyspark脚本的用处。那么,当通过. 从Spark Wiki关于PySpark Internals的说明可知,PySpark建立在Spark Java API之上,数据按Python的语法行为被处理,运行结果由JVM负责cache或shuffle Spark Wiki Homepage: PySpark Internals ========================== EOF ====================== 发布者:
接下来我们将会针对ppt中最经典的模块进行讲解分享。 一、Cluster Domain 在12.2中,OracleRAC有很多重要的改进。而Cluster Domain堪称最醒目的变化。 Oracle
2018年10月13日ACMUG南京站,来自腾讯技术工程事业群TEG基础架构部数据库内核团队专家工程师王少华,做了主题为「TXSQL Internals@2018」的分享。
https://github.com/JerryLead/SparkInternals Spark Internals Spark Version: 1.0.2 Doc Version: 1.0.2.0 Examples 写文档期间为了 debug 系统,自己设计了一些 examples,放在了 SparkLearning/src/internals 下。
在ODF2018开源数据库论坛暨首届MariaDB中国用户者大会上,来自腾讯技术工程事业群TEG基础架构部数据库内核团队资深架构师王少华,做了主题为「TXSQL Internals@2018」的分享。
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Windows NT3.1,1992年 第2版,Inside Windows NT4.0,1998年 第3版,Inside Windows 2000(NT5.0),2000年 第4版,windows internals 4th edtion,《深入解析Windows操作系统 第4版》(英文版2004年,中文版2007年,XP/2003) 第5版,windows internals 5th edtion (2009年, Vista/2008) 第6版,windows internals 6th edtion (英文版2012年,Win7/2008R2;中文版上2014年,中文版下2018年) 第7版,windows internals /e_books/108 Windows Internals (Part 2) 6th Edition http://www.banshujiang.cn/e_books/107 Windows Internals 7th Edition Part 1 http://www.banshujiang.cn/e_books/2134 Windows Internals 7th Edition Part 2 http
KSTREAM-MERGE-0000000014]: b , 2,b--b,2324 2017-10-17 22:17:34.578 INFO --- [ StreamThread-1] o.a.k.s.p.internals.StreamThread commit interval 30000ms has elapsed 2017-10-17 22:17:34.578 INFO --- [ StreamThread-1] o.a.k.s.p.internals.StreamThread StreamThread-1] Committing task StreamTask 0_0 2017-10-17 22:17:34.585 INFO --- [ StreamThread-1] o.a.k.s.p.internals.StreamThread KSTREAM-MERGE-0000000014]: f , 4,f--f,ddddddd 2017-10-17 22:31:12.530 INFO --- [ StreamThread-1] o.a.k.s.p.internals.StreamThread commit interval 30000ms has elapsed 2017-10-17 22:31:12.530 INFO --- [ StreamThread-1] o.a.k.s.p.internals.StreamThread
(ProducerBatch.java:204) at org.apache.kafka.clients.producer.internals.ProducerBatch.done(ProducerBatch.java :187) at org.apache.kafka.clients.producer.internals.Sender.failBatch(Sender.java:627) at org.apache.kafka.clients.producer.internals.Sender.sendProducerData (Sender.java:287) at org.apache.kafka.clients.producer.internals.Sender.run(Sender.java:238) at org.apache.kafka.clients.producer.internals.Sender.run(Sender.java:163) at java.lang.Thread.run batch creation plus linger time 2018-11-07 14:11:32.625 INFO 13932 --- [ntainer#0-8-C-1] o.a.k.c.c.internals.AbstractCoordinator
t2与t1竞争,偏向锁升级为轻量锁,11111000后三位是000 打印t2线程,第20次偏向结果 A object internals: OFFSET SIZE TYPE DESCRIPTION 前面19个a都偏向锁升级为轻量锁,达到重偏向阈值,第20个a直接重偏向到t2 打印list中第11个对象的对象头: A object internals: OFFSET SIZE TYPE 打印list中第26个对象的对象头: A object internals: OFFSET SIZE TYPE DESCRIPTION 打印list中第41个对象的对象头: A object internals: OFFSET SIZE TYPE DESCRIPTION 重新输出新实例A A object internals: OFFSET SIZE TYPE DESCRIPTION VALUE
22917 [kafka-coordinator-heartbeat-thread | testfageGroup] WARN org.apache.kafka.clients.consumer.internals.AbstractCoordinator 22917 [kafka-coordinator-heartbeat-thread | testfageGroup] INFO org.apache.kafka.clients.consumer.internals.AbstractCoordinator (id: 2147363066 rack: null) 消费完25条数据后,重新加入消费分组 26135 [main] WARN org.apache.kafka.clients.consumer.internals.ConsumerCoordinator partitions [testfage-0, testfage-1, testfage-2] 26135 [main] INFO org.apache.kafka.clients.consumer.internals.AbstractCoordinator . 23141 [kafka-coordinator-heartbeat-thread | testfageGroup] INFO org.apache.kafka.clients.consumer.internals.AbstractCoordinator
at org.apache.kafka.clients.consumer.internals.Fetcher$CompletedFetch.access$1900(Fetcher.java:1507) at org.apache.kafka.clients.consumer.internals.Fetcher.fetchRecords(Fetcher.java:733) ~[kafka-clients at org.apache.kafka.clients.consumer.internals.Fetcher.fetchedRecords(Fetcher.java:684) ~[kafka-clients at org.apache.kafka.clients.consumer.internals.Fetcher$CompletedFetch.nextFetchedRecord(Fetcher.java: at org.apache.kafka.clients.consumer.internals.Fetcher$CompletedFetch.fetchRecords(Fetcher.java:1666)
还可以通过另一种方法来测试: select so.name, so.object_id, sp.index_id, internals.total_pages, internals.used_pages , internals.data_pages,first_iam_page, first_page, root_page from sys.objects so inner join sys.partitions internals on internals.container_id = sa.container_id where so.object_id = object_id('orders') ? [Page] WHERE PageType=2 go select so.name, so.object_id, sp.index_id, internals.total_pages, internals.used_pages internals on internals.container_id = sa.container_id where so.object_id = object_id('orders') 通过两种方法查询到的索引页的数量是一样的
blog.sina.com.cn/s/blog_1806ff8820102xr22.html 知乎文章 https://www.zhihu.com/question/27380104 网络调试 chrome://net-internals /#events net-internals是一套工具集合,用于帮助诊断网络请求与访问方面的问题,它通过监听和搜集 DNS,Sockets,SPDY,Caches等事件与数据来向开发者反馈各种网络请求的过程 jingyan.baidu.com/article/2c8c281d8d2f8f0008252a27.html 书签管理 chrome://bookmarks 显示浏览器所使用磁盘空间配额的情况 chrome://quota-internals /history 跟ctrl+h一样 扩展管理 chrome://extensions/shortcuts 设置管理 chrome://settings 显示同步状态 chrome://sync-internals
B 树的页集合由 sys.system_internals_allocation_units 系统视图中的 root_page 指针定位。 ,internals.total_pages, internals.used_pages, internals.data_pages,first_iam_page, first_page, root_pageFROM internals ON internals.container_id = sa.container_idWHERE so.object_id = object_id('Torder') ? ,internals.total_pages, internals.used_pages, internals.data_pages,first_iam_page, first_page, root_pageFROM internals ON internals.container_id = sa.container_idWHERE so.object_id = object_id('Torder') ?
---------------------------------------------------------- init object info java.lang.Object object internals --------------------------------------------- synchronized lock object info java.lang.Object object internals -------------------------------------------- after synchronized object info java.lang.Object object internals -------------------------------------- after calculate hashcode object info java.lang.Object object internals --------------------------------------------- synchronized lock object info java.lang.Object object internals
isTeleport: true, process(n1, n2, container, anchor, parentComponent, parentSuspense, isSVG, optimized, internals pbc: patchBlockChildren, o: { insert, querySelector, createText, createComment } } = internals pbc: patchBlockChildren, o: { insert, querySelector, createText, createComment } } = internals moveTeleport( n2, container, mainAnchor, internals vnode, parentComponent, parentSuspense, optimized, internals
seconds (JVM running for 16.06) 2019-01-01 13:41:42.699 INFO 1422 --- [ntainer#0-0-C-1] o.a.k.c.c.internals.AbstractCoordinator : (Re-)joining group 0 2019-01-01 13:41:42.782 INFO 1422 --- [ntainer#0-0-C-1] o.a.k.c.c.internals.AbstractCoordinator joined group 0 with generation 5 2019-01-01 13:41:42.788 INFO 1422 --- [ntainer#0-0-C-1] o.a.k.c.c.internals.ConsumerCoordinator seconds (JVM running for 14.442) 2019-01-01 13:47:59.007 INFO 1460 --- [ntainer#0-0-C-1] o.a.k.c.c.internals.AbstractCoordinator : (Re-)joining group 0 2019-01-01 13:48:00.967 INFO 1460 --- [ntainer#0-0-C-1] o.a.k.c.c.internals.AbstractCoordinator