We 're currently running Logstash 7.17.8 using a docker container on a Linux VM.
We have run into an issue where Logstash creates page.0 which quickly fills up and reaches its queue.page_capacity of 256mb. Once it reaches 256mb Logstash stops creating other pages and were left with page.0 and no logs forwarding to Elasticsearch.
We tried upping the queue.page_capacity size to 500mb but page.0 still stops after 256mb with no other pages being created.
Nothing in the logs seem to point to why this is happening.
Any idea on why page.0 gets stuck at 256mb with no other pages being created?
# Settings file in YAML
#
# Settings can be specified either in hierarchical form, e.g.:
#
# pipeline:
# batch:
# size: 125
# delay: 5
#
# Or as flat keys:
#
# pipeline.batch.size: 125
# pipeline.batch.delay: 5
#
# ------------ Node identity ------------
#
# Use a descriptive name for the node:
#
# node.name: test
#
# If omitted the node name will default to the machine's host name
#
# ------------ Data path ------------------
#
# Which directory should be used by logstash and its plugins
# for any persistent needs. Defaults to LOGSTASH_HOME/data
#
path.data: /usr/share/logstash/data
#
# ------------ Pipeline Settings --------------
#
# The ID of the pipeline.
#
pipeline.id: main
#
# Set the number of workers that will, in parallel, execute the filters+outputs
# stage of the pipeline.
#
# This defaults to the number of the host's CPU cores.
#
pipeline.workers: 4
#
# How many events to retrieve from inputs before sending to filters+workers
#
pipeline.batch.size: 125
#
# How long to wait in milliseconds while polling for the next event
# before dispatching an undersized batch to filters+outputs
#
# pipeline.batch.delay: 50
#
# Force Logstash to exit during shutdown even if there are still inflight
# events in memory. By default, logstash will refuse to quit until all
# received events have been pushed to the outputs.
#
# WARNING: enabling this can lead to data loss during shutdown
#
# pipeline.unsafe_shutdown: false
#
# Set the pipeline event ordering. Options are "auto" (the default), "true" or "false".
# "auto" will automatically enable ordering if the 'pipeline.workers' setting
# is also set to '1'.
# "true" will enforce ordering on the pipeline and prevent logstash from starting
# if there are multiple workers.
# "false" will disable any extra processing necessary for preserving ordering.
#
pipeline.ordered: auto
#
# ------------ Pipeline Configuration Settings --------------
#
# Where to fetch the pipeline configuration for the main pipeline
#
# path.config:
#
# Pipeline configuration string for the main pipeline
#
# config.string:
#
# At startup, test if the configuration is valid and exit (dry run)
#
config.test_and_exit: false
#
# Periodically check if the configuration has changed and reload the pipeline
# This can also be triggered manually through the SIGHUP signal
#
config.reload.automatic: true
#
# How often to check if the pipeline configuration has changed (in seconds)
# Note that the unit value (s) is required. Values without a qualifier (e.g. 60)
# are treated as nanoseconds.
# Setting the interval this way is not recommended and might change in later versions.
#
config.reload.interval: 3s
#
# Show fully compiled configuration as debug log message
# NOTE: --log.level must be 'debug'
#
# config.debug: false
#
# When enabled, process escaped characters such as \n and \" in strings in the
# pipeline configuration files.
#
# config.support_escapes: false
#
# ------------ HTTP API Settings -------------
# Define settings related to the HTTP API here.
#
# The HTTP API is enabled by default. It can be disabled, but features that rely
# on it will not work as intended.
http.enabled: true
#
# By default, the HTTP API is bound to only the host's local loopback interface,
# ensuring that it is not accessible to the rest of the network. Because the API
# includes neither authentication nor authorization and has not been hardened or
# tested for use as a publicly-reachable API, binding to publicly accessible IPs
# should be avoided where possible.
#
http.host: 0.0.0.0
#
# The HTTP API web server will listen on an available port from the given range.
# Values can be specified as a single port (e.g., `9600`), or an inclusive range
# of ports (e.g., `9600-9700`).
#
# http.port: 9600-9700
#
# ------------ Module Settings ---------------
# Define modules here. Modules definitions must be defined as an array.
# The simple way to see this is to prepend each `name` with a `-`, and keep
# all associated variables under the `name` they are associated with, and
# above the next, like this:
#
# modules:
# - name: MODULE_NAME
# var.PLUGINTYPE1.PLUGINNAME1.KEY1: VALUE
# var.PLUGINTYPE1.PLUGINNAME1.KEY2: VALUE
# var.PLUGINTYPE2.PLUGINNAME1.KEY1: VALUE
# var.PLUGINTYPE3.PLUGINNAME3.KEY1: VALUE
#
# Module variable names must be in the format of
#
# var.PLUGIN_TYPE.PLUGIN_NAME.KEY
#
# modules:
#
# ------------ Cloud Settings ---------------
# Define Elastic Cloud settings here.
# Format of cloud.id is a base64 value e.g. dXMtZWFzdC0xLmF3cy5mb3VuZC5pbyRub3RhcmVhbCRpZGVudGlmaWVy
# and it may have an label prefix e.g. staging:dXMtZ...
# This will overwrite 'var.elasticsearch.hosts' and 'var.kibana.host'
# cloud.id: <identifier>
#
# Format of cloud.auth is: <user>:<pass>
# This is optional
# If supplied this will overwrite 'var.elasticsearch.username' and 'var.elasticsearch.password'
# If supplied this will overwrite 'var.kibana.username' and 'var.kibana.password'
# cloud.auth: elastic:<password>
#
# ------------ Queuing Settings --------------
#
# Internal queuing model, "memory" for legacy in-memory based queuing and
# "persisted" for disk-based acked queueing. Defaults is memory
#
queue.type: persisted
#
# If using queue.type: persisted, the directory path where the data files will be stored.
# Default is path.data/queue
#
path.queue: /usr/share/logstash/data/queue
#
# If using queue.type: persisted, the page data files size. The queue data consists of
# append-only data files separated into pages. Default is 64mb
#
queue.page_capacity: 500mb
#
# If using queue.type: persisted, the maximum number of unread events in the queue.
# Default is 0 (unlimited)
#
queue.max_events: 0
#
# If using queue.type: persisted, the total capacity of the queue in number of bytes.
# If you would like more unacked events to be buffered in Logstash, you can increase the
# capacity using this setting. Please make sure your disk drive has capacity greater than
# the size specified here. If both max_bytes and max_events are specified, Logstash will pick
# whichever criteria is reached first
# Default is 1024mb or 1gb
#
queue.max_bytes: "20gb"
#
# If using queue.type: persisted, the maximum number of acked events before forcing a checkpoint
# Default is 1024, 0 for unlimited
#
queue.checkpoint.acks: 1024
#
# If using queue.type: persisted, the maximum number of written events before forcing a checkpoint
# Default is 1024, 0 for unlimited
#
queue.checkpoint.writes: 1024
#
# If using queue.type: persisted, the interval in milliseconds when a checkpoint is forced on the head page
# Default is 1000, 0 for no periodic checkpoint.
#
queue.checkpoint.interval: 1000
#
# ------------ Dead-Letter Queue Settings --------------
# Flag to turn on dead-letter queue.
#
dead_letter_queue.enable: true
# If using dead_letter_queue.enable: true, the maximum size of each dead letter queue. Entries
# will be dropped if they would increase the size of the dead letter queue beyond this setting.
# Default is 1024mb
dead_letter_queue.max_bytes: "200gb"
# If using dead_letter_queue.enable: true, the interval in milliseconds where if no further events eligible for the DLQ
# have been created, a dead letter queue file will be written. A low value here will mean that more, smaller, queue files
# may be written, while a larger value will introduce more latency between items being "written" to the dead letter queue, and
# being available to be read by the dead_letter_queue input when items are are written infrequently.
# Default is 5000.
#
# dead_letter_queue.flush_interval: 5000
# If using dead_letter_queue.enable: true, the directory path where the data files will be stored.
# Default is path.data/dead_letter_queue
#
path.dead_letter_queue: /usr/share/logstash/data/dead_letter_queue
#
# ------------ Metrics Settings --------------
#
# Bind address for the metrics REST endpoint
#
# http.host: "127.0.0.1"
#
# Bind port for the metrics REST endpoint, this option also accept a range
# (9600-9700) and logstash will pick up the first available ports.
#
# http.port: 9600-9700
#
# ------------ Debugging Settings --------------
#
# Options for log.level:
# * fatal
# * error
# * warn
# * info (default)
# * debug
# * trace
#
log.level: info
path.logs: /usr/share/logstash/data/logs
#
# ------------ Other Settings --------------
# Where to find custom plugins
# path.plugins: []
#
# Flag to output log lines of each pipeline in its separate log file. Each log filename contains the pipeline.name
# Default is false
pipeline.separate_logs: false
# pipeline.unsafe_shutdown: true
# List of pipelines to be loaded by Logstash
#
# This document must be a list of dictionaries/hashes, where the keys/values are pipeline settings.
# Default values for omitted settings are read from the `logstash.yml` file.
# When declaring multiple pipelines, each MUST have its own `pipeline.id`.
#
# Example of two pipelines:
#
- pipeline.id: gelf
pipeline.batch.size: "125"
path.config: "/etc/logstash/conf.d/gelf.conf"
queue.type: memory
dead_letter_queue.enable: false
- pipeline.id: beats
pipeline.batch.size: "1000"
path.config: "/etc/logstash/conf.d/beats.conf"
queue.type: persisted
dead_letter_queue.enable: true
- pipeline.id: syslog
pipeline.batch.size: "125"
path.config: "/etc/logstash/conf.d/syslog.conf"
queue.type: memory
dead_letter_queue.enable: false
- pipeline.id: beats-dead-letter-queue-processing-pipeline
pipeline.batch.size: "1000"
path.config: "/etc/logstash/conf.d/beats_deadletterqueue_pipeline.conf"
queue.type: memory
dead_letter_queue.enable: false
- pipeline.id: mulesoft-login
path.config: "/etc/logstash/conf.d/mulesoft/login.conf"
pipeline.ecs_compatibility: disabled
queue.type: persisted
pipeline.workers: 1
- pipeline.id: mulesoft-logs
path.config: "/etc/logstash/conf.d/mulesoft/get_cloudhub_app_logs.conf"
pipeline.ecs_compatibility: disabled
queue.type: persisted
pipeline.workers: 1
# - pipeline.id: mulesoft-get-api-events
# path.config: "/etc/logstash/conf.d/mulesoft/get_api_events.conf"
# queue.type: persisted
# pipeline.workers: 1
# - pipeline.id: mulesoft-get-worker-stats
# path.config: "/etc/logstash/conf.d/mulesoft/get_worker_stats.conf"
# queue.type: persisted
# pipeline.workers: 1
# Available options:
#
# # name of the pipeline
# pipeline.id: mylogs
#
# # The configuration string to be used by this pipeline
# config.string: "input { generator {} } filter { sleep { time => 1 } } output { stdout { codec => dots } }"
#
# # The path from where to read the configuration text
# path.config: /etc/logstash/conf.d/myconfig.cfg"
#
# # How many worker threads execute the Filters+Outputs stage of the pipeline
# pipeline.workers: 1 (actually defaults to number of CPUs)
#
# # How many events to retrieve from inputs before sending to filters+workers
# pipeline.batch.size: 500
#
# # How long to wait in milliseconds while polling for the next event
# # before dispatching an undersized batch to filters+outputs
# pipeline.batch.delay: 50
#
# # Internal queuing model, "memory" for legacy in-memory based queuing and
# # "persisted" for disk-based acked queueing. Defaults is memory
# queue.type: memory
#
# # If using queue.type: persisted, the page data files size. The queue data consists of
# # append-only data files separated into pages. Default is 64mb
# queue.page_capacity: 64mb
#
# # If using queue.type: persisted, the maximum number of unread events in the queue.
# # Default is 0 (unlimited)
# queue.max_events: 0
#
# # If using queue.type: persisted, the total capacity of the queue in number of bytes.
# # Default is 1024mb or 1gb
# queue.max_bytes: 1024mb
#
# # If using queue.type: persisted, the maximum number of acked events before forcing a checkpoint
# # Default is 1024, 0 for unlimited
# queue.checkpoint.acks: 1024
#
# # If using queue.type: persisted, the maximum number of written events before forcing a checkpoint
# # Default is 1024, 0 for unlimited
# queue.checkpoint.writes: 1024
#
# # If using queue.type: persisted, the interval in milliseconds when a checkpoint is forced on the head page
# # Default is 1000, 0 for no periodic checkpoint.
# queue.checkpoint.interval: 1000
#
# # Enable Dead Letter Queueing for this pipeline.
# dead_letter_queue.enable: false
#
# If using dead_letter_queue.enable: true, the maximum size of dead letter queue for this pipeline. Entries
# will be dropped if they would increase the size of the dead letter queue beyond this setting.
# Default is 1024mb
# dead_letter_queue.max_bytes: 1024mb
#
# If using dead_letter_queue.enable: true, the interval in milliseconds where if no further events eligible for the DLQ
# have been created, a dead letter queue file will be written. A low value here will mean that more, smaller, queue files
# may be written, while a larger value will introduce more latency between items being "written" to the dead letter queue, and
# being available to be read by the dead_letter_queue input when items are are written infrequently.
# Default is 5000.
#
# dead_letter_queue.flush_interval: 5000
#
# If using dead_letter_queue.enable: true, the directory path where the data files will be stored.
# Default is path.data/dead_letter_queue
#
# path.dead_letter_queue:
# Settings file in YAML
#
# Settings can be specified either in hierarchical form, e.g.:
#
# pipeline:
# batch:
# size: 125
# delay: 5
#
# Or as flat keys:
#
# pipeline.batch.size: 125
# pipeline.batch.delay: 5
#
# ------------ Node identity ------------
#
# Use a descriptive name for the node:
#
# node.name: test
#
# If omitted the node name will default to the machine's host name
#
# ------------ Data path ------------------
#
# Which directory should be used by logstash and its plugins
# for any persistent needs. Defaults to LOGSTASH_HOME/data
#
path.data: /usr/share/logstash/data
#
# ------------ Pipeline Settings --------------
#
# The ID of the pipeline.
#
pipeline.id: main
#
# Set the number of workers that will, in parallel, execute the filters+outputs
# stage of the pipeline.
#
# This defaults to the number of the host's CPU cores.
#
pipeline.workers: 4
#
# How many events to retrieve from inputs before sending to filters+workers
#
pipeline.batch.size: 125
#
# How long to wait in milliseconds while polling for the next event
# before dispatching an undersized batch to filters+outputs
#
# pipeline.batch.delay: 50
#
# Force Logstash to exit during shutdown even if there are still inflight
# events in memory. By default, logstash will refuse to quit until all
# received events have been pushed to the outputs.
#
# WARNING: enabling this can lead to data loss during shutdown
#
# pipeline.unsafe_shutdown: false
#
# Set the pipeline event ordering. Options are "auto" (the default), "true" or "false".
# "auto" will automatically enable ordering if the 'pipeline.workers' setting
# is also set to '1'.
# "true" will enforce ordering on the pipeline and prevent logstash from starting
# if there are multiple workers.
# "false" will disable any extra processing necessary for preserving ordering.
#
pipeline.ordered: auto
#
# ------------ Pipeline Configuration Settings --------------
#
# Where to fetch the pipeline configuration for the main pipeline
#
# path.config:
#
# Pipeline configuration string for the main pipeline
#
# config.string:
#
# At startup, test if the configuration is valid and exit (dry run)
#
config.test_and_exit: false
#
# Periodically check if the configuration has changed and reload the pipeline
# This can also be triggered manually through the SIGHUP signal
#
config.reload.automatic: true
#
# How often to check if the pipeline configuration has changed (in seconds)
# Note that the unit value (s) is required. Values without a qualifier (e.g. 60)
# are treated as nanoseconds.
# Setting the interval this way is not recommended and might change in later versions.
#
config.reload.interval: 3s
#
# Show fully compiled configuration as debug log message
# NOTE: --log.level must be 'debug'
#
# config.debug: false
#
# When enabled, process escaped characters such as \n and \" in strings in the
# pipeline configuration files.
#
# config.support_escapes: false
#
# ------------ HTTP API Settings -------------
# Define settings related to the HTTP API here.
#
# The HTTP API is enabled by default. It can be disabled, but features that rely
# on it will not work as intended.
http.enabled: true
#
# By default, the HTTP API is bound to only the host's local loopback interface,
# ensuring that it is not accessible to the rest of the network. Because the API
# includes neither authentication nor authorization and has not been hardened or
# tested for use as a publicly-reachable API, binding to publicly accessible IPs
# should be avoided where possible.
#
http.host: 0.0.0.0
#
# The HTTP API web server will listen on an available port from the given range.
# Values can be specified as a single port (e.g., `9600`), or an inclusive range
# of ports (e.g., `9600-9700`).
#
# http.port: 9600-9700
#
# ------------ Module Settings ---------------
# Define modules here. Modules definitions must be defined as an array.
# The simple way to see this is to prepend each `name` with a `-`, and keep
# all associated variables under the `name` they are associated with, and
# above the next, like this:
#
# modules:
# - name: MODULE_NAME
# var.PLUGINTYPE1.PLUGINNAME1.KEY1: VALUE
# var.PLUGINTYPE1.PLUGINNAME1.KEY2: VALUE
# var.PLUGINTYPE2.PLUGINNAME1.KEY1: VALUE
# var.PLUGINTYPE3.PLUGINNAME3.KEY1: VALUE
#
# Module variable names must be in the format of
#
# var.PLUGIN_TYPE.PLUGIN_NAME.KEY
#
# modules:
#
# ------------ Cloud Settings ---------------
# Define Elastic Cloud settings here.
# Format of cloud.id is a base64 value e.g. dXMtZWFzdC0xLmF3cy5mb3VuZC5pbyRub3RhcmVhbCRpZGVudGlmaWVy
# and it may have an label prefix e.g. staging:dXMtZ...
# This will overwrite 'var.elasticsearch.hosts' and 'var.kibana.host'
# cloud.id: <identifier>
#
# Format of cloud.auth is: <user>:<pass>
# This is optional
# If supplied this will overwrite 'var.elasticsearch.username' and 'var.elasticsearch.password'
# If supplied this will overwrite 'var.kibana.username' and 'var.kibana.password'
# cloud.auth: elastic:<password>
#
# ------------ Queuing Settings --------------
#
# Internal queuing model, "memory" for legacy in-memory based queuing and
# "persisted" for disk-based acked queueing. Defaults is memory
#
queue.type: persisted
#
# If using queue.type: persisted, the directory path where the data files will be stored.
# Default is path.data/queue
#
path.queue: /usr/share/logstash/data/queue
#
# If using queue.type: persisted, the page data files size. The queue data consists of
# append-only data files separated into pages. Default is 64mb
#
queue.page_capacity: 500mb
#
# If using queue.type: persisted, the maximum number of unread events in the queue.
# Default is 0 (unlimited)
#
queue.max_events: 0
#
# If using queue.type: persisted, the total capacity of the queue in number of bytes.
# If you would like more unacked events to be buffered in Logstash, you can increase the
# capacity using this setting. Please make sure your disk drive has capacity greater than
# the size specified here. If both max_bytes and max_events are specified, Logstash will pick
# whichever criteria is reached first
# Default is 1024mb or 1gb
#
queue.max_bytes: "20gb"
#
# If using queue.type: persisted, the maximum number of acked events before forcing a checkpoint
# Default is 1024, 0 for unlimited
#
queue.checkpoint.acks: 1024
#
# If using queue.type: persisted, the maximum number of written events before forcing a checkpoint
# Default is 1024, 0 for unlimited
#
queue.checkpoint.writes: 1024
#
# If using queue.type: persisted, the interval in milliseconds when a checkpoint is forced on the head page
# Default is 1000, 0 for no periodic checkpoint.
#
queue.checkpoint.interval: 1000
#
# ------------ Dead-Letter Queue Settings --------------
# Flag to turn on dead-letter queue.
#
dead_letter_queue.enable: true
# If using dead_letter_queue.enable: true, the maximum size of each dead letter queue. Entries
# will be dropped if they would increase the size of the dead letter queue beyond this setting.
# Default is 1024mb
dead_letter_queue.max_bytes: "200gb"
# If using dead_letter_queue.enable: true, the interval in milliseconds where if no further events eligible for the DLQ
# have been created, a dead letter queue file will be written. A low value here will mean that more, smaller, queue files
# may be written, while a larger value will introduce more latency between items being "written" to the dead letter queue, and
# being available to be read by the dead_letter_queue input when items are are written infrequently.
# Default is 5000.
#
# dead_letter_queue.flush_interval: 5000
# If using dead_letter_queue.enable: true, the directory path where the data files will be stored.
# Default is path.data/dead_letter_queue
#
path.dead_letter_queue: /usr/share/logstash/data/dead_letter_queue
#
# ------------ Metrics Settings --------------
#
# Bind address for the metrics REST endpoint
#
# http.host: "127.0.0.1"
#
# Bind port for the metrics REST endpoint, this option also accept a range
# (9600-9700) and logstash will pick up the first available ports.
#
# http.port: 9600-9700
#
# ------------ Debugging Settings --------------
#
# Options for log.level:
# * fatal
# * error
# * warn
# * info (default)
# * debug
# * trace
#
log.level: info
path.logs: /usr/share/logstash/data/logs
#
# ------------ Other Settings --------------
# Where to find custom plugins
# path.plugins: []
#
# Flag to output log lines of each pipeline in its separate log file. Each log filename contains the pipeline.name
# Default is false
pipeline.separate_logs: false
# pipeline.unsafe_shutdown: true
What kind of data are you processing?
Maybe there is too much data input. In other words, more arrives to input, then filter+output leaves. Check how PQ works.
Figured out the issue. Our logstash VMs are managed in Azure and we have a load balancer setup for our logstash resource group. For some reason the health probe and load balancers rules dropped out of Azure (Might be during a Octopus deploy when this happened). So we added the health probe and load balancer rules back and now Logstash works again.
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