#root Logger ──────────────────────────────────────────────────────────────
rootLogger.level = info
rootLogger.appenderRef.rolling.ref = YARN_ROLLING

# ── RollingFile Appender ──────────────────────────────────────────────────────
# spark.yarn.app.container.log.dir 由 YARN 在启动 container 时注入
appender.YARN_ROLLING.type         = RollingFile
appender.YARN_ROLLING.name         = YARN_ROLLING
appender.YARN_ROLLING.fileName     = ${sys:spark.yarn.app.container.log.dir}/spark.log
appender.YARN_ROLLING.filePattern  = ${sys:spark.yarn.app.container.log.dir}/spark-%i.log.gz

appender.YARN_ROLLING.layout.type    = PatternLayout
appender.YARN_ROLLING.layout.pattern = %d{yy/MM/dd HH:mm:ss} %p %c{1}: %m%n%ex

# 触发策略：单文件超过 200MB 就滚动
appender.YARN_ROLLING.policies.type           = Policies
appender.YARN_ROLLING.policies.size.type      = SizeBasedTriggeringPolicy
appender.YARN_ROLLING.policies.size.size      = 200MB

# 滚动策略：最多保留 5 个历史文件（.gz 压缩），超过自动删除最旧的
appender.YARN_ROLLING.strategy.type = DefaultRolloverStrategy
appender.YARN_ROLLING.strategy.max  = 5

# 过滤掉不必要的 Thrift 噪音（保留原有过滤）
appender.YARN_ROLLING.filter.1.type       = RegexFilter
appender.YARN_ROLLING.filter.1.regex      = .*Thrift error occurred during processing of message.*
appender.YARN_ROLLING.filter.1.onMatch    = deny
appender.YARN_ROLLING.filter.1.onMismatch = neutral

# ── Third-party 噪音压制（保留原有配置）────────────────────────────────────
logger.jetty1.name  = org.sparkproject.jetty
logger.jetty1.level = warn
logger.jetty2.name  = org.sparkproject.jetty.util.component.AbstractLifeCycle
logger.jetty2.level = error
logger.parquet1.name  = org.apache.parquet
logger.parquet1.level = error
logger.parquet2.name  = parquet
logger.parquet2.level = error
logger.RetryingHMSHandler.name  = org.apache.hadoop.hive.metastore.RetryingHMSHandler
logger.RetryingHMSHandler.level = fatal
logger.FunctionRegistry.name  = org.apache.hadoop.hive.ql.exec.FunctionRegistry
logger.FunctionRegistry.level = error