spark 2.1.1 spark里执行sql报错 insert overwrite table test_parquet_table select * from dummy 报错如下: org.apache.spark.SparkException: Task failed while writing rows. at org.apache.spark.sql.hive.SparkHiveDynamicPartitionWriterContainer.writeToFile(hiveWrite

spark提交任务报错: java.lang.SecurityException: Invalid signature file digest for Manifest main attributes 对jar包执行:zip -d ztoTest1.jar META-INF/*.RSA META-INF/*.DSA META-INF/*.SF 然后提交: ./spark-submit --master yarn-client --class hbasetest.sparkHbase --num-

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

spark用的是cdh spark-2.0.1 package main.scala import org.apache.spark.rdd.RDD import org.apache.spark.{SparkConf, SparkContext} /* Created by tomtang on 2016/12/16. */ object tomhelloworld { def FILE_NAME:String = "word_count_results_" def main(arg

spark 2.1.1 一 问题重现 问题代码示例 object MethodPositionTest { val sparkConf = new SparkConf().setAppName("MethodPositionTest") val sc = new SparkContext(sparkConf) val spark = SparkSession.builder().enableHiveSupport().getOrCreate() def main(args : Arra

需求 将HDFS上的数据解析出来,然后通过hfile方式批量写入Hbase(需要多列写入) 写入数据的关键api: rdd.saveAsNewAPIHadoopFile( stagingFolder, classOf[ImmutableBytesWritable], classOf[KeyValue], classOf[HFileOutputFormat2], job.getConfiguration) 特殊地方: 1): 最初写hfile警告⚠️: Does it contain files

1. Java版本不一致,导致启动报错. # 解决方法: 在启动脚本最前边添加系统参数,指定Java版本 export JAVA_HOME=/usr/java/jdk1..0_181-amd64/jre 2. Spark1和Spark2并存,启动时报错. # 在SPARK_HOME中指定启动的spark版本 export SPARK_HOME=/data01/opt/cloudera/parcels/SPARK2-.cloudera3-.cdh5./lib/spark2 3.缺少Hadoop依赖

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

spark版本:1.6.0 scala版本:2.10 报错日志: Application application_1562341921664_2123 failed 2 times due to AM Container for appattempt_1562341921664_2123_000002 exited with exitCode: -104 For more detailed output, check the application tracking page: http://w

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\

SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory] // :: ERROR RecoverableZooKeeper: ZooKeeper exists failed after attempts // :: ERROR ZooKeeperWatcher: hconnection-0xaaa0f760x0, quorum=localhost:, baseZNode=/hbase Received unexpec

一,1 在使用spark读取kafka数据时,当spark升级到2.0之后,出现如上问题:之前遇到了,当时在工程里面添加了org.apache.spark.Logging类,能够运行. 但是在后期使用过程中,又遇到了相同的问题,为了一劳永逸,今天彻底把问题解决. 在项目下创建org.apache.spark.logging类 将源码考入类中 package org.apache.sparkimport org.apache.log4j.{LogManager, PropertyConfigura

spark-2.4.2kudu-1.7.0 开始尝试 1)自己手工将jar加到classpath spark-2.4.2-bin-hadoop2.6+kudu-spark2_2.11-1.7.0-cdh5.16.1.jar # bin/spark-shell scala> val df = spark.read.options(Map("kudu.master" -> "master:7051", "kudu.table" ->

原因: oracle 10g的驱动执行的批量提交只支持32768个参数,如果表的字段多于32个,就会出现该异常 解决办法: 升级oracle的驱动版本,换成ojdbc6.jar

1.任务是提交在yarn上的,查看 resourceManager页面 有如下信息 Current usage: 58.4 MB of 1 GB physical memory used; 2.2 GB of 2.1 GB virtual memory used. Killing container. 2.解决方法 yarn-site.xml的中加上 <property> <name>yarn.nodemanager.pmem-check-enabled</name>

背景 最近在整合pyspark与hive,新安装spark-2.3.3以客户端的方式访问hive数据,运行方式使用spark on yarn,但是在配置spark读取hive数据的时候,这里直接把hive下的hive-site.xml复制到spark目录下,启动了一次spark,上面的问题就出现了. 网上的说法: hive元数据问题,需要重新初始化hive的元数据 但是这个方法肯定不适合我,因为仓库里的表不能受影响,上千张表呢,如果初始化了,所有表都要重新创建. 排查过程 * 首先查看服务器上/

如果运行Spark集群时状态一直为Accepted且不停止不报错,比如像下面这样的情况: 15/06/14 11:33:33 INFO yarn.Client: Application report for application_1434263747091_0023 (state: ACCEPTED) 15/06/14 11:33:34 INFO yarn.Client: Application report for application_1434263747091_0023 (state:

本地运行spark报错 18/12/18 12:56:55 WARN Utils: Service 'sparkDriver' could not bind on port 0. Attempting port 1.18/12/18 12:56:55 WARN Utils: Service 'sparkDriver' could not bind on port 0. Attempting port 1.18/12/18 12:56:55 WARN Utils: Service 'sparkDr

spark查orc格式的数据有时会报这个错 Caused by: java.lang.NullPointerException at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat$BISplitStrategy.getSplits(OrcInputFormat.java:560) at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat.generateSplitsInfo(OrcInputFormat

spark 2.1.1 一 问题重现 spark-submit --master local[*] --class app.package.AppClass --jars /jarpath/zkclient-0.3.jar --driver-memory 1g app.jar 报错 Java HotSpot(TM) 64-Bit Server VM warning: Setting CompressedClassSpaceSize has no effect when compressed cl