HADOOP_NAMENODE_OPTS="-Dhadoop.security.logger=${HADOOP_SECURITY_ LOG GER:-INFO,RFAS} -Dhdfs.audit.logger=${HDFS_AUDIT_LOGGER:-INFO,NullAppender} $HADOOP_NAMENODE_OPTS"

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public class DISKafkaConsumerAssignDemo { private static final Logger LOGGER = LoggerFactory.getLogger(DISKafkaConsumerAssignDemo.class);

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日志接口说明 方法名 方法说明 Log(string message) 利用context创建logger对象： var logger = context.Logger; logger.Log("hello CS harp runtime test(v1.0.2)"); Logf(string

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工程入口在RestMain.java文件中。 public class RestMain { private static final Logger LOGGER = LoggerFactory.getLogger(RestMain.class); public static void

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Logger logger = Logger.getLogger(SingleCardMs2.class.getName()); logger.setLevel(Level.WARNING); logger.warning("url"

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ate); LOGGER.info("Success to update partition count, {}", updatePartitionCountResult); } catch (Exception e) { LOGGER.error("Failed

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(client.tableExists(table)) { LOGGER.info("Created {}.", tableName); } else { LOGGER.error("Create {} failed.", tableName);

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root.logger=INFO,console ... log4j.logger.org.apache.zookeeper=INFO #log4j.logger.org.apache.hadoop.fs.FSNamesystem=DEBUG log4j.logger.org.apache

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(client.tableExists(table)) { LOGGER.info("Created {}.", tableName); } else { LOGGER.error("Create {} failed.", tableName);

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e) { logger.error("HttpStatusCode: " + e.getHttpStatusCode()); logger.error("RequestId: " + e.getRequestId()); logger.error("ErrorCode:

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} if (isset($argsMap['logger'])) { $logger = $argsMap['logger']; $logger->addDebug($requestBase);

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root.logger=INFO,console # Define the root logger to the system property "opentsdb.root.logger". log4j.rootLogger=${opentsdb.root.logger} log4j

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root.logger=INFO,console # Define the root logger to the system property "opentsdb.root.logger". log4j.rootLogger=${opentsdb.root.logger} log4j

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LOGGER.info("start to create namespace {}", NAMESPACE); api.createNamespace(namespace, null, null, null); LOGGER.info("namespace

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setFormatter(formatter); Logger logger = Logger.getLogger("org.postgresql"); logger.addHandler(fileHandler); logger.setLevel(Level.ALL); logger.setUseParentHandlers(false);

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} catch (DISClientException e) { LOGGER.error("Failed to get a normal response, please check params and retry

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context.getUserData("redis_password") logger.info("redis host={}".format(redis_host)) logger.info("redis port={}".format(redis_port))

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logger.info("start sync to oms!") resp = send_oms(object_key) if resp.status_code == 200: logger.info("call

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<version>1.2.17</version> </dependency> private val logger = LoggerFactory.getLogger(this.getClass) logger.info("print log with sl4j+log4j") 父主题： Spark作业运维类

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添加下面的内容。 -Dhadoop.root.logger=<LOG_LEVEL>,localizationCLA 示例： 为了更改本地化日志级别为DEBUG，参数值应该为 -Xmx256m -Dhadoop.root.logger=DEBUG,localizationCLA 允

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region.OmsRegion; public class RetryTask { private RuntimeLogger logger; private String dstAk; private String dstSk; private String

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