Hadoop

Docker 公司宣布把 Docker Distribution 捐献给了 CNCF

由 倖福魔咒の 提交于 2021-02-07 08:11:34
文章目录 1 什么是 Docker Distribution 2 为什么要把 Docker Distribution 捐献给 CNCF 3 关于 CNCF 2021年2月4日，负责维护 Docker 引擎的 Justin Cormack 在 Docker 官方博客宣布把 Docker 发行版（Docker Distribution）捐献给了 CNCF，全文如下：​ 我们很高兴地宣布，Docker 已经把 Docker 发行版（Docker Distribution）捐献给了 CNCF。Docker 致力于开源社区和我们许多项目的开放标准，这一举动将确保 Docker 发行版有一个广泛的团队来维护许多注册中心的基础。 如果想及时了解Spark、Hadoop或者HBase相关的文章，欢迎关注微信公众号： iteblog_hadoop 什么是 Docker Distribution 发行版是开放源代码，它是容器仓库（container registry，Docker Hub 的一部分）和许多其他容器仓库的基础。它是容器仓库的参考实现，应用非常广泛，因此是容器生态系统的基础部分。这使得它在 CNCF 新家非常合适。 Docker Distribution 主要重写了用 Python 编写的原始 Registry 代码，这是一个比较早的设计，其中没有使用内容寻址存储。Docker

JVM crashes with no frame specified, only “timer expired, abort”

由 杀马特。学长 韩版系。学妹 提交于 2021-02-07 06:28:06
问题 I am running a Java job under Hadoop which is crashing the JVM. I suspect this is due to some JNI code (it uses JBLAS with a multithreaded native BLAS implementation). However, while I expect the crash log to supply the "problematic frame" for debugging, instead the log looks like: # # A fatal error has been detected by the Java Runtime Environment: # # SIGSEGV (0xb) at pc=0x00007f204dd6fb27, pid=19570, tid=139776470402816 # # JRE version: 6.0_38-b05 # Java VM: Java HotSpot(TM) 64-Bit Server

Error : Could not find or load main class fs

由 ＊爱你＆永不变心＊ 提交于 2021-02-07 04:27:33
问题 I am trying create a directory with the below commands: hadoop fs -mkdir sample hadoop fs -mkdir /user/cloudera/sample1 Either way i receive the error: Could not find or load main class fs How do I resolve this issue? 回答1: These two Stack Overflow posts illustrate that the hadoop fs and hadoop dfs commands are deprecated and have been for some time. Ideally you should be using hdfs dfs instead. As Ramya B states, you need to become the hdfs user in order to use this type of command and ensure

Why we need to move external table to managed hive table?

由 假如想象 提交于 2021-02-07 03:43:30
问题 I am new to Hadoop and learning Hive. In Hadoop definative guide 3rd edition page no. 428 last paragraph I don't understand below paragraph regarding external table in HIVE. "A common pattern is to use an external table to access an initial dataset stored in HDFS (created by another process), then use a Hive transform to move the data into a managed Hive table." Can anybody explain briefly what above phrase says? 回答1: Usually the data in the initial dataset is not constructed in the optimal

Why we need to move external table to managed hive table?

由 别说谁变了你拦得住时间么 提交于 2021-02-07 03:42:10
问题 I am new to Hadoop and learning Hive. In Hadoop definative guide 3rd edition page no. 428 last paragraph I don't understand below paragraph regarding external table in HIVE. "A common pattern is to use an external table to access an initial dataset stored in HDFS (created by another process), then use a Hive transform to move the data into a managed Hive table." Can anybody explain briefly what above phrase says? 回答1: Usually the data in the initial dataset is not constructed in the optimal

Why we need to move external table to managed hive table?

由 ℡╲_俬逩灬. 提交于 2021-02-07 03:42:00
问题 I am new to Hadoop and learning Hive. In Hadoop definative guide 3rd edition page no. 428 last paragraph I don't understand below paragraph regarding external table in HIVE. "A common pattern is to use an external table to access an initial dataset stored in HDFS (created by another process), then use a Hive transform to move the data into a managed Hive table." Can anybody explain briefly what above phrase says? 回答1: Usually the data in the initial dataset is not constructed in the optimal

Spark & Scala: saveAsTextFile() exception

由 橙三吉。 提交于 2021-02-07 03:31:45
问题 I'm new to Spark & Scala and I got exception after calling saveAsTextFile(). Hope someone can help... Here is my input.txt: Hello World, I'm a programmer Hello World, I'm a programmer This is the info after running "spark-shell" on CMD: C:\Users\Nhan Tran>spark-shell Setting default log level to "WARN". To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel). Spark context Web UI available at http://DLap:4040 Spark context available as 'sc' (master = local[

Spark & Scala: saveAsTextFile() exception

由 二次信任 提交于 2021-02-07 03:31:41
问题 I'm new to Spark & Scala and I got exception after calling saveAsTextFile(). Hope someone can help... Here is my input.txt: Hello World, I'm a programmer Hello World, I'm a programmer This is the info after running "spark-shell" on CMD: C:\Users\Nhan Tran>spark-shell Setting default log level to "WARN". To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel). Spark context Web UI available at http://DLap:4040 Spark context available as 'sc' (master = local[

Spark & Scala: saveAsTextFile() exception

由 孤人 提交于 2021-02-07 03:27:42
问题 I'm new to Spark & Scala and I got exception after calling saveAsTextFile(). Hope someone can help... Here is my input.txt: Hello World, I'm a programmer Hello World, I'm a programmer This is the info after running "spark-shell" on CMD: C:\Users\Nhan Tran>spark-shell Setting default log level to "WARN". To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel). Spark context Web UI available at http://DLap:4040 Spark context available as 'sc' (master = local[

auxService:mapreduce_shuffle does not exist on hive

由 百般思念 提交于 2021-02-07 03:06:27
问题 I am using hive 1.2.0 and hadoop 2.6.0. whenever I am running hive on my machine... select query works fine but in case of count(*) it shows following error: Diagnostic Messages for this Task: Container launch failed for container_1434646588807_0001_01_000005 : org.apache.hadoop.yarn.exceptions.InvalidAuxServiceException: The auxService:mapreduce_shuffle does not exist at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method) at sun.reflect.NativeConstructorAccessorImpl
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