Marthon docker 配置fluent示例 以及tag使用

Marthon docker 配置fluent示例，加上tag，进行后期fluent进行分类处理更方便。    "parameters": [      {        "key": "log-driver",        "value": "fluentd"      },      {        "key": "log-opt",        "value": "fluentd-address=172.16.4.85:24225"      },      {        "key": "log-opt",        "value": "tag=docker."  ### 此处 docker. 和下面的第二个match匹配 ，docker.subtag1 和第一个match匹配，匹配规则直到满足的第一个match就不在向下匹配      }    ]    ################ fluent docker config ################ <source>  @type forward  port 24225  bind 172.16.5.21</source><match docker.subtag1>  @type kafka_buffered  # list of seed brokers  brokers 172.16.6.11:9092,172.16.6.12:9092,172.16.6.13:9092  # buffer settings  buffer_type file  buffer_path /data/log/td-agent/buffer/td/docker_data1  flush_interval 3s  # topic settings  default_topic testfluentd  # data type settings  output_data_type json  include_time_key true  include_tag_key  true###  compression_codec snappy  # producer settings  max_send_retries 1  required_acks 1</match><match docker.*>  @type kafka_buffered  # list of seed brokers  brokers 172.16.6.11:9092,172.16.6.12:9092,172.16.6.13:9092  # buffer settings  buffer_type file  ### 此处的buffer的位置和上面的不能放在同一个位置  buffer_path /data/log/td-agent/buffer/td/docker_data2  flush_interval 3s  # topic settings  default_topic test_fluentd  # data type settings  output_data_type json  include_time_key true  include_tag_key  true###  compression_codec snappy  # producer settings  max_send_retries 1  required_acks 1</match>### 所有 不满足上面格式的数据都会进到下面<match **>   @type stdout</match>