Spark程序编译报错: [INFO] Compiling 2 source files to E:\Develop\IDEAWorkspace\spark\target\classes at 1567004370534[ERROR] E:\Develop\IDEAWorkspace\spark\src\main\scala\cn\itcast\wordCount\WordCount.scala:3: error: object apache is not a member of package…
在Eclipse中集成scala环境后,发现导入的Spark包报错,提示是:object apache is not a member of package org,网上说了一大推,其实问题很简单: 解决办法:在创建scala工程是,到了创建包的这一步是我们要选择: 而不是创建java工程是的Java程序的包类型:然后创建scala类的时候也是一样,注意选择是scala class而不是java class. 这样创建的项目,我们在将外部包,build path进来后,发现不再报错.…
wepy开发小程序使用getApp().globalData保存全局数据很方便,但是会在控制台看到很多报错:“error 'getApp' is not defined no-undef”,这是eslint报错. 解决办法:在.eslintrc.js文件中加入 globals: { getApp: true }…
问题描述: 今天在测试环境中,搭建hbase环境,执行list命令之后,报错: hbase(main):001:0> list TABLE ERROR: org.apache.hadoop.hbase.PleaseHoldException: Master is initializing at org.apache.hadoop.hbase.master.HMaster.checkInitialized(HMaster.java:2642) at org.apache.hadoop.hbase.…
报错1 java.io.IOException: Could not locate executable null\bin\winutils.exe in the Hadoop binaries. 解决办法 下载winutils.exe文件,将其放到hadoop目录hadoop-2.6.0\bin下 然后配置HADOOP_HOME和并配置path就可以了,比如我的是: HADOOP_HOME为 D:\bigdata_software\hadoop-2.6.0 path为 HADOOP_HOME\…
[ERROR] class file for org.mortbay.component.AbstractLifeCycle not found 错误堆栈如下: [ERROR] COMPILATION ERROR : [INFO] ------------------------------------------------------------- [ERROR] /home/hduser/code/hadoop--src/hadoop-common-project/hadoop-auth…
D:/vivado2018.3/Vivado/2018.3/common/technology/autopilot\ap_stream.h:62:2: error: AP_STREAM macros are deprecated. Please use hls::stream<> from "hls_stream.h" instead.#error AP_STREAM macros are deprecated. Please use hls::stream<>…
运行编译后的程序报错 error while loading shared libraries: lib*.so: cannot open shared object file: No such file or directory -------------------------------------------------------------------------------------------------------------------------------------…
直接上代码 StreamingExamples.setStreamingLogLevels() val Array(brokers, topics) = args // Create context with 2 second batch interval // 创建conf,spark streaming至少要启动两个线程,一个负责接受数据,一个负责处理数据 val conf = new SparkConf().setMaster("local[4]").setAppName(&qu…