当我运行spark作业时，我可以看到SSL密钥密码，keystorepassword在事件日志中以纯文本显示 . 你能帮我解决一下如何从日志中隐藏这些密码吗？
虽然我看下面的https://issues.apache.org/jira/browse/SPARK-16796似乎他们修复它以将其隐藏在Web UI中 . 但不确定我可以在日志中修复它
非常感谢您的帮助!!
“{”Event“：”SparkListenerLogStart“，”Spark Version“：”2.1.1“} {”Event“：”SparkListenerBlockManagerAdded“，”Block Manager ID“：{”Executor ID“：”driver“，”Host“ ：“xx.xxx.xx.xxx”，“端口”：43556}，“最大内存”：434031820，“时间戳”：1512750709305} {“事件”：“SparkListenerEnvironmentUpdate”，“JVM信息”：{“Java Home” ：“/ usr / lib / jvm / java-1.8.0-openjdk-1.8.0.141-1.b16.32.amzn1.x86_64 / jre”，“Java Version”：“1.8.0_141（Oracle Corporation）”，“ Scala版本“：”版本2.11.8“}，”Spark属性“：{”spark.sql.warehouse.dir“：”hdfs：/// user / spark / warehouse“，”spark.yarn.dist.files“ ：“file：/etc/spark/conf/hive-site.xml”，“spark.executor.extraJavaOptions”：“ - verbose：gc -XX：PrintGCDetails -XX：PrintGCDateStamps -XX：UseConcMarkSweepGC -XX：CMSInitiatingOccupancyFraction = 70 - XX：MaxHeapFreeRatio = 70 -XX：CMSClassUnloadingEnabled -XX：OnOutOfMemoryError ='kill -9％p'“，”spark.driver.host“：”xx.xxx.xx.xxx“，”spark.serializer.objectStreamReset“：” 100" ， “spark.history.fs.logDirectory”： “HDFS：///无功/日志/火花/应用程序”，“spark.eventLog.e nabled “：” 真 “ ”spark.driver.port“： ”44832“， ”spark.shuffle.service.enabled“： ”真“， ”spark.rdd.compress“： ”真“，” spark.driver . extraLibraryPath “：”/ usr / lib中/ Hadoop的/ lib目录/本地：/ usr / lib中/ Hadoop的LZO / lib目录/本地 “ ”spark.ssl.keyStore“：” 在/ usr /共享/ AWS / EMR /安全/ conf目录/keystore.jks","spark.executorEnv.PYTHONPATH":"{}/pyspark.zip{}/py4j-0.10.4-src.zip","spark.ssl.enabled “：”真 “ ”spark.yarn.historyServer.address“：” ip-xx-xxx-xx-xxx.xxx.com:18080","spark.ssl.trustStore":"/usr/share/aws/emr/security /conf/truststore.jks","spark.app.name":"claim_line_fact_main","spark.scheduler.mode":"FIFO","spark.network.sasl.serverAlwaysEncrypt":"true","spark.ssl .keyPassword“：”xxxxxx“，”spark.ssl.keyStorePassword“：”xxxxxx“，”spark.executor.id“：”driver“，”spark.driver.extraJavaOptions“：” - XX：UseConcMarkSweepGC -XX：CMSInitiatingOccupancyFraction = 70 -XX：MaxHeapFreeRatio = 70 -XX：CMSClassUnloadingEnabled -XX：OnOutOfMemoryError ='kill -9％p'“，”spark.submit.deployMode“：”client“，”spark.master“：”yarn“，”spark . 认证 . enableSaslEncryption “：” 真”， “spark.authenticate”： “真”， “spark.ui.filters”： “org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter”， “spark.executor.extraLibraryPath” ： “/ usr / lib中/ hadoop的/ lib中的/天然的：/ usr / lib中/ Hadoop的LZO / LIB /天然的”， “spark.sql.hive.metastore.sharedPrefixes”： “com.amazonaws.services.dynamodbv2”，” spark.executor.memory “：” 5120M “ ”spark.driver.extraClassPath“：”/ usr / lib中/ Hadoop的LZO / LIB /：/ usr / lib中/ hadoop的/ Hadoop的aws.jar：在/ usr /共享/ AWS / AWS-java的SDK /：在/ usr /共享/ AWS / EMR / emrfs / CONF：在/ usr /共享/ AWS / EMR / emrfs / LIB /：在/ usr /共享/ AWS / EMR / emrfs / auxlib /： /usr/share/aws/emr/security/conf:/usr/share/aws/emr/security/lib/","spark.eventLog.dir":"hdfs:///var/log/spark/apps” “spark.ssl.protocol”： “TLSv1.2工作”， “spark.dynamicAllocation.enabled”： “真”， “spark.executor.extraClassPath”：“/ usr / lib中/ Hadoop的LZO / lib中/：在/ usr /lib/hadoop/hadoop-aws.jar:/usr/share/aws/aws-java-sdk/:/usr/share/aws/emr/emrfs/conf:/usr/share/aws/emr/emrfs/lib /：在/ usr /共享/ AWS / EMR / emrfs / auxlib /：在/ usr /共享/ AWS / EMR /安全/ conf目录：在/ usr /共享/ AWS / EM R /安全/ LIB / “ ”spark.executor.cores“： ”4“， ”spark.history.ui.port“： ”18080“， ”spark.driver.appUIAddress“： ”HTTP：//“，” spark.yarn.isPython “：” 真 “ ”spark.ssl.trustStorePassword“： ”XXXXXX“， ”spark.org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter.param.PROXY_HOSTS“：” IP- xx-xxx-xx-xxx.xxx.com”， “spark.ssl.enabledAlgorithms”： “TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256，TLS_RSA_WITH_AES_256_CBC_SHA”， “spark.org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter.param.PROXY_URI_BASES” ”