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参数 描述 默认值 yarn.app.mapreduce.am.resource.mb 该参数值必须大于下面参数的堆大小。单位:MB 1536 yarn.app.mapreduce.am.command-opts 传递到MapReduce ApplicationMaster的JVM启动参数。
http://10.120.169.53:23011 which is the app master GUI of application_1468986660719_0045 owned by spark | WebAppProxyServlet.java:393 2021-07-21 16:36:02
http://10.120.169.53:23011 which is the app master GUI of application_1468986660719_0045 owned by spark | WebAppProxyServlet.java:393 2016-07-21 16:36:02
Transformer和SchemaProvider样例: public class TransformerExample implements Transformer, Serializable { @Override public Dataset<Row> apply(JavaSparkContext
Transformer和SchemaProvider样例: public class TransformerExample implements Transformer, Serializable { @Override public Dataset<Row> apply(JavaSparkContext
Transformer和SchemaProvider样例: public class TransformerExample implements Transformer, Serializable { @Override public Dataset<Row> apply(JavaSparkContext
t$1.apply$mcV$sp(DStreamCheckpointData.scala:125) at org.apache.spark.streaming.dstream.DStreamCheckpointData$$anonfun$writeObject$1.apply(D
nodemanager.remote-app-log-dir 在默认文件系统上(通常是HDFS),指定NM应将日志聚合到哪个目录。 logs 777 yarn.nodemanager.remote-app-log-archive-dir 将日志归档的目录。 - 777 yarn.app.mapreduce
spark.deploy.yarn.ApplicationMaster$.main(ApplicationMaster.scala:796) at org.apache.spark.deploy.yarn.ExecutorLauncher$.main(ApplicationMaster
EcsObsCredentialsProvider:通过ECS云服务获取AK/SK信息。 com.obs.services.BasicObsCredentialsProvider:使用用户传入OBS的AK/SK信息。 com.obs.services.EnvironmentVari
Tuple2<>(new StringBuilder().append(record.getPartitionPath()) .append("+") .append(record.getRecordKey())
Tuple2<>(new StringBuilder().append(record.getPartitionPath()) .append("+") .append(record.getRecordKey())
<topics>为Kafka中订阅的主题,多以逗号分隔。 // <brokers>为获取元数据的kafka地址。 public class FemaleInfoCollectionPrint { public static void main(String[] args) throws Exception
<= columnCount; i++) { stringBuffer.append(md.getColumnName(i)); stringBuffer.append(" "); } logger.info(stringBuffer
spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237) at scala.Option
Encodings”,在“Project Encoding”和“Global Encoding”区域,设置参数值为“UTF-8”,单击“Apply”后,单击“OK”,如图1所示。 图1 设置IntelliJ IDEA的编码格式 设置工程JDK。 在IntelliJ IDEA的菜单栏中,选择“File
Transformer和SchemaProvider样例: public class TransformerExample implements Transformer, Serializable { @Override public Dataset<Row> apply(JavaSparkContext
nodemanager.remote-app-log-dir 在默认文件系统上(通常是HDFS),指定NM应将日志聚合到哪个目录。 logs 777 yarn.nodemanager.remote-app-log-archive-dir 将日志归档的目录。 - 777 yarn.app.mapreduce
AggregateFunction; public class UdfClass_UDAF { public static class AverageAccumulator { public int sum; } public static class
参数 描述 默认值 yarn.app.mapreduce.am.resource.mb 该参数值必须大于下面参数的堆大小。单位:MB 1536 yarn.app.mapreduce.am.command-opts 传递到MapReduce ApplicationMaster的JVM启动参数。