哟！
我是 fluentd 的新手，为了使用 GKE，我一直在忙着使用它，并遇到了一个问题。
我正在使用过滤器来解析容器日志，我需要不同的正则表达式，所以我添加了 multi_format 并且它运行良好。之后我注意到跟踪日志和异常被分成不同的日志/行，所以我看到了 multiline 解析器，但没有按计划进行（它没有工作）。然后我在 README.md of the multi-format repo
中找到了原因 <块引用>此插件不适用于 multiline 解析器，因为解析器本身不存储前几行。
所以我想知道是否有可能以某种方式解决这个限制，并有多个正则表达式来过滤日志，还有一个多行解析器或 concat
kind: ConfigMap
apiVersion: v1
metadata:
#[[START configMapNameCM]]
name: fluentd-gcp-config-custom
namespace: kube-system
labels:
k8s-app: fluentd-gcp-custom
#[[END configMapNameCM]]
data:
containers.input.conf: |-
# This configuration file for Fluentd is used
# to watch changes to Docker log files that live in the
# directory /var/lib/docker/containers/ and are symbolically
# linked to from the /var/log/containers directory using names that capture the
# pod name and container name. These logs are then submitted to
# Google Cloud Logging which assumes the installation of the cloud-logging plug-in.
#
# Example
# =======
# A line in the Docker log file might look like this JSON:
#
# {"log":"2014/09/25 21:15:03 Got request with path wombat\\n",
# "stream":"stderr",
# "time":"2014-09-25T21:15:03.499185026Z"}
#
# The original tag is derived from the log file's location.
# For example a Docker container's logs might be in the directory:
# /var/lib/docker/containers/997599971ee6366d4a5920d25b79286ad45ff37a74494f262e3bc98d909d0a7b
# and in the file:
# 997599971ee6366d4a5920d25b79286ad45ff37a74494f262e3bc98d909d0a7b-json.log
# where 997599971ee6... is the Docker ID of the running container.
# The Kubernetes kubelet makes a symbolic link to this file on the host
# machine in the /var/log/containers directory which includes the pod name,
# the namespace name and the Kubernetes container name:
# synthetic-logger-0.25lps-pod_default_synth-lgr-997599971ee6366d4a5920d25b79286ad45ff37a74494f262e3bc98d909d0a7b.log
# ->
# /var/lib/docker/containers/997599971ee6366d4a5920d25b79286ad45ff37a74494f262e3bc98d909d0a7b/997599971ee6366d4a5920d25b79286ad45ff37a74494f262e3bc98d909d0a7b-json.log
# The /var/log directory on the host is mapped to the /var/log directory in the container
# running this instance of Fluentd and we end up collecting the file:
# /var/log/containers/synthetic-logger-0.25lps-pod_default_synth-lgr-997599971ee6366d4a5920d25b79286ad45ff37a74494f262e3bc98d909d0a7b.log
# This results in the tag:
# var.log.containers.synthetic-logger-0.25lps-pod_default_synth-lgr-997599971ee6366d4a5920d25b79286ad45ff37a74494f262e3bc98d909d0a7b.log
# where 'synthetic-logger-0.25lps-pod' is the pod name, 'default' is the
# namespace name, 'synth-lgr' is the container name and '997599971ee6..' is
# the container ID.
# The record reformer is used to extract pod_name, namespace_name and
# container_name from the tag and set them in a local_resource_id in the
# format of:
# 'k8s_container.<NAMESPACE_NAME>.<POD_NAME>.<CONTAINER_NAME>'.
# The reformer also changes the tags to 'stderr' or 'stdout' based on the
# value of 'stream'.
# local_resource_id is later used by google_cloud plugin to determine the
# monitored resource to ingest logs against.
# Json Log Example:
# {"log":"[info:2016-02-16T16:04:05.930-08:00] Some log text here\n","stream":"stdout","time":"2016-02-17T00:04:05.931087621Z"}
# CRI Log Example:
# 2016-02-17T00:04:05.931087621Z stdout F [info:2016-02-16T16:04:05.930-08:00] Some log text here
<source>
@type tail
path /var/log/containers/*.log
pos_file /var/log/gcp-containers.log.pos
# Tags at this point are in the format of:
# reform.var.log.containers.<POD_NAME>_<NAMESPACE_NAME>_<CONTAINER_NAME>-<CONTAINER_ID>.log
tag reform.*
read_from_head true
<parse>
@type multi_format
<pattern>
format json
time_key time
time_format %Y-%m-%dT%H:%M:%S.%NZ
</pattern>
<pattern>
format /^(?<time>.+) (?<stream>stdout|stderr) [^ ]* (?<log>.*)$/
time_format %Y-%m-%dT%H:%M:%S.%N%:z
</pattern>
</parse>
</source>
<filter reform.var.log.containers.backend*.log>
@type parser
key_name log
<parse>
@type multi_format
<pattern>
# Gunicorn logs
format regexp
expression /^\[(?<time>[\d -:,+ZT\.]+)\] \[(?<pid>\d+)\] \[(?<severity>[a-zA-Z]+)\] (?<log>.+)$/
</pattern>
<pattern>
# Backend logging
format regexp
expression /^(?<time>[\d -:,+ZT\.]+) - (?<severity>[a-zA-Z]+) - (?<log>.+)$/
</pattern>
<pattern>
# Alembic logs
format regexp
expression /^(?<severity>[a-zA-Z]+)[ \t\x0B\f\r]+\[(?<name>.+)\] (?<log>.+)$/
</pattern>
<pattern>
# Access logs
format regexp
expression /^(?<target>\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3}:\d{1,5}) - (?<log>.+)$/
</pattern>
<pattern>
format none
</pattern>
</parse>
reserve_data true
emit_invalid_record_to_error false
</filter>
<filter reform.var.log.containers.listener*.log>
@type parser
key_name log
format /^(?<time>[\d -:,+ZT\.]+) - (?<name>.+) - (?<severity>[a-zA-Z]+) - (?<log>.+)$/
reserve_data true
emit_invalid_record_to_error false
</filter>
<match reform.**>
@type record_reformer
enable_ruby true
<record>
# Extract local_resource_id from tag for 'k8s_container' monitored
# resource. The format is:
# 'k8s_container.<namespace_name>.<pod_name>.<container_name>'.
"logging.googleapis.com/local_resource_id" ${"k8s_container.#{tag_suffix[4].rpartition('.')[0].split('_')[1]}.#{tag_suffix[4].rpartition('.')[0].split('_')[0]}.#{tag_suffix[4].rpartition('.')[0].split('_')[2].rpartition('-')[0]}"}
# Rename the field 'log' to a more generic field 'message'. This way the
# fluent-plugin-google-cloud knows to flatten the field as textPayload
# instead of jsonPayload after extracting 'time', 'severity' and
# 'stream' from the record.
message ${record['log']}
# If 'severity' is not set, assume stderr is ERROR and stdout is INFO.
severity ${record['severity'] || if record['stream'] == 'stderr' then 'ERROR' else 'INFO' end}
</record>
tag ${if record['stream'] == 'stderr' then 'raw.stderr' else 'raw.stdout' end}
remove_keys stream,log
</match>
# Detect exceptions in the log output and forward them as one log entry.
<match {raw.stderr,raw.stdout}>
@type detect_exceptions
remove_tag_prefix raw
message message
stream "logging.googleapis.com/local_resource_id"
multiline_flush_interval 5
max_bytes 500000
max_lines 1000
</match>
monitoring.conf: |-
# This source is used to acquire approximate process start timestamp,
# which purpose is explained before the corresponding output plugin.
<source>
@type exec
command /bin/sh -c 'date +%s'
tag process_start
time_format %Y-%m-%d %H:%M:%S
keys process_start_timestamp
</source>
# This filter is used to convert process start timestamp to integer
# value for correct ingestion in the prometheus output plugin.
<filter process_start>
@type record_transformer
enable_ruby true
auto_typecast true
<record>
process_start_timestamp ${record["process_start_timestamp"].to_i}
</record>
</filter>
system.input.conf: |-
# Example:
# Dec 21 23:17:22 gke-foo-1-1-4b5cbd14-node-4eoj startupscript: Finished running startup script /var/run/google.startup.script
<source>
@type tail
format syslog
path /var/log/startupscript.log
pos_file /var/log/gcp-startupscript.log.pos
tag startupscript
</source>
# Examples:
# time="2016-02-04T06:51:03.053580605Z" level=info msg="GET /containers/json"
# time="2016-02-04T07:53:57.505612354Z" level=error msg="HTTP Error" err="No such image: -f" statusCode=404
# TODO(random-liu): Remove this after cri container runtime rolls out.
<source>
@type tail
format /^time="(?<time>[^)]*)" level=(?<severity>[^ ]*) msg="(?<message>[^"]*)"( err="(?<error>[^"]*)")?( statusCode=($<status_code>\d+))?/
path /var/log/docker.log
pos_file /var/log/gcp-docker.log.pos
tag docker
</source>
# Example:
# 2016/02/04 06:52:38 filePurge: successfully removed file /var/etcd/data/member/wal/00000000000006d0-00000000010a23d1.wal
<source>
@type tail
# Not parsing this, because it doesn't have anything particularly useful to
# parse out of it (like severities).
format none
path /var/log/etcd.log
pos_file /var/log/gcp-etcd.log.pos
tag etcd
</source>
# Multi-line parsing is required for all the kube logs because very large log
# statements, such as those that include entire object bodies, get split into
# multiple lines by glog.
# Example:
# I0204 07:32:30.020537 3368 server.go:1048] POST /stats/container/: (13.972191ms) 200 [[Go-http-client/1.1] 10.244.1.3:40537]
<source>
@type tail
format multiline
multiline_flush_interval 5s
format_firstline /^\w\d{4}/
format1 /^(?<severity>\w)(?<time>\d{4} [^\s]*)\s+(?<pid>\d+)\s+(?<source>[^ \]]+)\] (?<message>.*)/
time_format %m%d %H:%M:%S.%N
path /var/log/kubelet.log
pos_file /var/log/gcp-kubelet.log.pos
tag kubelet
</source>
# Example:
# I1118 21:26:53.975789 6 proxier.go:1096] Port "nodePort for kube-system/default-http-backend:http" (:31429/tcp) was open before and is still needed
<source>
@type tail
format multiline
multiline_flush_interval 5s
format_firstline /^\w\d{4}/
format1 /^(?<severity>\w)(?<time>\d{4} [^\s]*)\s+(?<pid>\d+)\s+(?<source>[^ \]]+)\] (?<message>.*)/
time_format %m%d %H:%M:%S.%N
path /var/log/kube-proxy.log
pos_file /var/log/gcp-kube-proxy.log.pos
tag kube-proxy
</source>
# Example:
# I0204 07:00:19.604280 5 handlers.go:131] GET /api/v1/nodes: (1.624207ms) 200 [[kube-controller-manager/v1.1.3 (linux/amd64) kubernetes/6a81b50] 127.0.0.1:38266]
<source>
@type tail
format multiline
multiline_flush_interval 5s
format_firstline /^\w\d{4}/
format1 /^(?<severity>\w)(?<time>\d{4} [^\s]*)\s+(?<pid>\d+)\s+(?<source>[^ \]]+)\] (?<message>.*)/
time_format %m%d %H:%M:%S.%N
path /var/log/kube-apiserver.log
pos_file /var/log/gcp-kube-apiserver.log.pos
tag kube-apiserver
</source>
# Example:
# I0204 06:55:31.872680 5 servicecontroller.go:277] LB already exists and doesn't need update for service kube-system/kube-ui
<source>
@type tail
format multiline
multiline_flush_interval 5s
format_firstline /^\w\d{4}/
format1 /^(?<severity>\w)(?<time>\d{4} [^\s]*)\s+(?<pid>\d+)\s+(?<source>[^ \]]+)\] (?<message>.*)/
time_format %m%d %H:%M:%S.%N
path /var/log/kube-controller-manager.log
pos_file /var/log/gcp-kube-controller-manager.log.pos
tag kube-controller-manager
</source>
# Example:
# W0204 06:49:18.239674 7 reflector.go:245] pkg/scheduler/factory/factory.go:193: watch of *api.Service ended with: 401: The event in requested index is outdated and cleared (the requested history has been cleared [2578313/2577886]) [2579312]
<source>
@type tail
format multiline
multiline_flush_interval 5s
format_firstline /^\w\d{4}/
format1 /^(?<severity>\w)(?<time>\d{4} [^\s]*)\s+(?<pid>\d+)\s+(?<source>[^ \]]+)\] (?<message>.*)/
time_format %m%d %H:%M:%S.%N
path /var/log/kube-scheduler.log
pos_file /var/log/gcp-kube-scheduler.log.pos
tag kube-scheduler
</source>
# Example:
# I1104 10:36:20.242766 5 rescheduler.go:73] Running Rescheduler
<source>
@type tail
format multiline
multiline_flush_interval 5s
format_firstline /^\w\d{4}/
format1 /^(?<severity>\w)(?<time>\d{4} [^\s]*)\s+(?<pid>\d+)\s+(?<source>[^ \]]+)\] (?<message>.*)/
time_format %m%d %H:%M:%S.%N
path /var/log/rescheduler.log
pos_file /var/log/gcp-rescheduler.log.pos
tag rescheduler
</source>
# Example:
# I0603 15:31:05.793605 6 cluster_manager.go:230] Reading config from path /etc/gce.conf
<source>
@type tail
format multiline
multiline_flush_interval 5s
format_firstline /^\w\d{4}/
format1 /^(?<severity>\w)(?<time>\d{4} [^\s]*)\s+(?<pid>\d+)\s+(?<source>[^ \]]+)\] (?<message>.*)/
time_format %m%d %H:%M:%S.%N
path /var/log/glbc.log
pos_file /var/log/gcp-glbc.log.pos
tag glbc
</source>
# Example:
# I0603 15:31:05.793605 6 cluster_manager.go:230] Reading config from path /etc/gce.conf
<source>
@type tail
format multiline
multiline_flush_interval 5s
format_firstline /^\w\d{4}/
format1 /^(?<severity>\w)(?<time>\d{4} [^\s]*)\s+(?<pid>\d+)\s+(?<source>[^ \]]+)\] (?<message>.*)/
time_format %m%d %H:%M:%S.%N
path /var/log/cluster-autoscaler.log
pos_file /var/log/gcp-cluster-autoscaler.log.pos
tag cluster-autoscaler
</source>
# Logs from systemd-journal for interesting services.
# TODO(random-liu): Keep this for compatibility, remove this after
# cri container runtime rolls out.
<source>
@type systemd
filters [{ "_SYSTEMD_UNIT": "docker.service" }]
pos_file /var/log/gcp-journald-docker.pos
read_from_head true
tag docker
</source>
<source>
@type systemd
filters [{ "_SYSTEMD_UNIT": "{{ fluentd_container_runtime_service }}.service" }]
pos_file /var/log/gcp-journald-container-runtime.pos
read_from_head true
tag container-runtime
</source>
<source>
@type systemd
filters [{ "_SYSTEMD_UNIT": "kubelet.service" }]
pos_file /var/log/gcp-journald-kubelet.pos
read_from_head true
tag kubelet
</source>
<source>
@type systemd
filters [{ "_SYSTEMD_UNIT": "node-problem-detector.service" }]
pos_file /var/log/gcp-journald-node-problem-detector.pos
read_from_head true
tag node-problem-detector
</source>
# BEGIN_NODE_JOURNAL
# Whether to include node-journal or not is determined when starting the
# cluster. It is not changed when the cluster is already running.
<source>
@type systemd
pos_file /var/log/gcp-journald.pos
read_from_head true
tag node-journal
</source>
<filter node-journal>
@type grep
<exclude>
key _SYSTEMD_UNIT
pattern ^(docker|{{ fluentd_container_runtime_service }}|kubelet|node-problem-detector)\.service$
</exclude>
</filter>
# END_NODE_JOURNAL
---
kind: ConfigMap
apiVersion: v1
metadata:
name: fluentd-gcp-main-config
namespace: kube-system
labels:
k8s-app: fluentd-gcp-custom
data:
google-fluentd.conf: |-
@include config.d/*.conf
# This match is placed before the all-matching output to provide metric
# exporter with a process start timestamp for correct exporting of
# cumulative metrics to Stackdriver.
<match process_start>
@type prometheus
<metric>
type gauge
name process_start_time_seconds
desc Timestamp of the process start in seconds
key process_start_timestamp
</metric>
</match>
# This filter allows to count the number of log entries read by fluentd
# before they are processed by the output plugin. This in turn allows to
# monitor the number of log entries that were read but never sent, e.g.
# because of liveness probe removing buffer.
<filter **>
@type prometheus
<metric>
type counter
name logging_entry_count
desc Total number of log entries generated by either application containers or system components
</metric>
</filter>
# This section is exclusive for k8s_container logs. Those come with
# 'stderr'/'stdout' tags.
# TODO(instrumentation): Reconsider this workaround later.
# Trim the entries which exceed slightly less than 256KB, to avoid
# dropping them. It is a necessity, because Stackdriver only supports
# entries that are up to 256KB in size.
<filter {stderr,stdout}>
@type record_transformer
enable_ruby true
<record>
message ${record['message'].length > 256000 ? "[Trimmed]#{record['message'][0..256000]}..." : record['message']}
</record>
</filter>
# Do not collect fluentd's own logs to avoid infinite loops.
<match fluent.**>
@type null
</match>
# Add a unique insertId to each log entry that doesn't already have it.
# This helps guarantee the order and prevent log duplication.
<filter **>
@type add_insert_ids
</filter>
# This section is exclusive for k8s_container logs. These logs come with
# 'stderr'/'stdout' tags.
# We use a separate output stanza for 'k8s_node' logs with a smaller buffer
# because node logs are less important than user's container logs.
<match {stderr,stdout}>
@type google_cloud
# Try to detect JSON formatted log entries.
detect_json true
# Collect metrics in Prometheus registry about plugin activity.
enable_monitoring true
monitoring_type prometheus
# Allow log entries from multiple containers to be sent in the same request.
split_logs_by_tag false
# Set the buffer type to file to improve the reliability and reduce the memory consumption
buffer_type file
buffer_path /var/log/fluentd-buffers/kubernetes.containers.buffer
# Set queue_full action to block because we want to pause gracefully
# in case of the off-the-limits load instead of throwing an exception
buffer_queue_full_action block
# Set the chunk limit conservatively to avoid exceeding the recommended
# chunk size of 5MB per write request.
buffer_chunk_limit 512k
# Cap the combined memory usage of this buffer and the one below to
# 512KiB/chunk * (6 + 2) chunks = 4 MiB
buffer_queue_limit 6
# Never wait more than 5 seconds before flushing logs in the non-error case.
flush_interval 5s
# Never wait longer than 30 seconds between retries.
max_retry_wait 30
# Disable the limit on the number of retries (retry forever).
disable_retry_limit
# Use multiple threads for processing.
num_threads 2
use_grpc true
# Skip timestamp adjustment as this is in a controlled environment with
# known timestamp format. This helps with CPU usage.
adjust_invalid_timestamps false
</match>
# Attach local_resource_id for 'k8s_node' monitored resource.
<filter **>
@type record_transformer
enable_ruby true
<record>
"logging.googleapis.com/local_resource_id" ${"k8s_node.#{ENV['NODE_NAME']}"}
</record>
</filter>
# This section is exclusive for 'k8s_node' logs. These logs come with tags
# that are neither 'stderr' or 'stdout'.
# We use a separate output stanza for 'k8s_container' logs with a larger
# buffer because user's container logs are more important than node logs.
<match **>
@type google_cloud
detect_json true
enable_monitoring true
monitoring_type prometheus
# Allow entries from multiple system logs to be sent in the same request.
split_logs_by_tag false
detect_subservice false
buffer_type file
buffer_path /var/log/fluentd-buffers/kubernetes.system.buffer
buffer_queue_full_action block
buffer_chunk_limit 512k
buffer_queue_limit 2
flush_interval 5s
max_retry_wait 30
disable_retry_limit
num_threads 2
use_grpc true
# Skip timestamp adjustment as this is in a controlled environment with
# known timestamp format. This helps with CPU usage.
adjust_invalid_timestamps false
</match>