I am running logstash in local and Elasticsearch too, trying to run an alreay configured pipeline on Elasticsearch, but when i m running my logstash.bat file it starts to read the pipelines.yml but the expectancy is that it should connect to Elasticsearch host and start running the logstash pipeline, there is only one pipeline configured there.
i have enabled basic auth security for Elasticsearch and kibana, i can also see the logstash pipeline on kibana too, trial license is active for me too and i m able to use the logstash creation, deletion apis for pipeline management, xpack.management.enable = true to enable centralized logstash pipeline management, here is my logstash.yml-:
# 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:
#
# ------------ 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: 2
#
# 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" automatically enables ordering if the 'pipeline.workers' setting
# is also set to '1', and disables otherwise.
# "true" enforces ordering on the pipeline and prevent logstash from starting
# if there are multiple workers.
# "false" disables any extra processing necessary for preserving ordering.
#
# pipeline.ordered: auto
#
# Sets the pipeline's default value for `ecs_compatibility`, a setting that is
# available to plugins that implement an ECS Compatibility mode for use with
# the Elastic Common Schema.
# Possible values are:
# - disabled
# - v1
# - v8 (default)
# Pipelines defined before Logstash 8 operated without ECS in mind. To ensure a
# migrated pipeline continues to operate as it did before your upgrade, opt-OUT
# of ECS for the individual pipeline in its `pipelines.yml` definition. Setting
# it here will set the default for _all_ pipelines, including new ones.
#
# pipeline.ecs_compatibility: v8
#
# ------------ 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: false
#
# 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
#
# ------------ 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.
#
api.enabled: true
#
# By default, the HTTP API is not secured and is therefore bound to only the
# host's loopback interface, ensuring that it is not accessible to the rest of
# the network.
# When secured with SSL and Basic Auth, the API is bound to _all_ interfaces
# unless configured otherwise.
#
api.http.host: 127.0.0.1
#
# 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`).
#
api.http.port: 9600-9700
#
# The HTTP API includes a customizable "environment" value in its response,
# which can be configured here.
#
# api.environment: "production"
#
# The HTTP API can be secured with SSL (TLS). To do so, you will need to provide
# the path to a password-protected keystore in p12 or jks format, along with credentials.
#
# api.ssl.enabled: false
# api.ssl.keystore.path: /path/to/keystore.jks
# api.ssl.keystore.password: "y0uRp4$$w0rD"
#
# The availability of SSL/TLS protocols depends on the JVM version. Certain protocols are
# disabled by default and need to be enabled manually by changing `jdk.tls.disabledAlgorithms`
# in the $JDK_HOME/conf/security/java.security configuration file.
#
# api.ssl.supported_protocols: [TLSv1.2,TLSv1.3]
#
# The HTTP API can be configured to require authentication. Acceptable values are
# - `none`: no auth is required (default)
# - `basic`: clients must authenticate with HTTP Basic auth, as configured
# with `api.auth.basic.*` options below
# api.auth.type: none
#
# When configured with `api.auth.type` `basic`, you must provide the credentials
# that requests will be validated against. Usage of Environment or Keystore
# variable replacements is encouraged (such as the value `"${HTTP_PASS}"`, which
# resolves to the value stored in the keystore's `HTTP_PASS` variable if present
# or the same variable from the environment)
#
# api.auth.basic.username: "logstash-user"
# api.auth.basic.password: "s3cUreP4$$w0rD"
#
# When setting `api.auth.basic.password`, the password should meet
# the default password policy requirements.
# The default password policy requires non-empty minimum 8 char string that
# includes a digit, upper case letter and lower case letter.
# Policy mode sets Logstash to WARN or ERROR when HTTP authentication password doesn't
# meet the password policy requirements.
# The default is WARN. Setting to ERROR enforces stronger passwords (recommended).
#
# api.auth.basic.password_policy.mode: WARN
#
# ------------ 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: memory
#
# If `queue.type: persisted`, the directory path where the pipeline data files will be stored.
# Each pipeline will group its PQ files in a subdirectory matching its `pipeline.id`.
# Default is path.data/queue.
#
# path.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: 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.
# 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: 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
#
# ------------ Dead-Letter Queue Settings --------------
# Flag to turn on dead-letter queue.
#
# dead_letter_queue.enable: false
# 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: 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 written infrequently.
# Default is 5000.
#
# dead_letter_queue.flush_interval: 5000
# If using dead_letter_queue.enable: true, controls which entries should be dropped to avoid exceeding the size limit.
# Set the value to `drop_newer` (default) to stop accepting new events that would push the DLQ size over the limit.
# Set the value to `drop_older` to remove queue pages containing the oldest events to make space for new ones.
#
# dead_letter_queue.storage_policy: drop_newer
# If using dead_letter_queue.enable: true, the interval that events have to be considered valid. After the interval has
# expired the events could be automatically deleted from the DLQ.
# The interval could be expressed in days, hours, minutes or seconds, using as postfix notation like 5d,
# to represent a five days interval.
# The available units are respectively d, h, m, s for day, hours, minutes and seconds.
# If not specified then the DLQ doesn't use any age policy for cleaning events.
#
# dead_letter_queue.retain.age: 1d
# 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:
#
# ------------ Debugging Settings --------------
#
# Options for log.level:
# * fatal
# * error
# * warn
# * info (default)
# * debug
# * trace
log.level: debug
#
# Options for log.format:
# * plain (default)
# * json
#
# log.format: plain
# log.format.json.fix_duplicate_message_fields: false
#
# path.logs:
#
# ------------ Other Settings --------------
#
# Allow or block running Logstash as superuser (default: true)
# allow_superuser: false
#
# 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
#
# Determine where to allocate memory buffers, for plugins that leverage them.
# Default to direct, optionally can be switched to heap to select Java heap space.
# pipeline.buffer.type: direct
#
# ------------ X-Pack Settings (not applicable for OSS build)--------------
#
# X-Pack Monitoring
# https://www.elastic.co/guide/en/logstash/current/monitoring-logstash.html
#xpack.monitoring.enabled: false
#xpack.monitoring.elasticsearch.username: logstash_system
#xpack.monitoring.elasticsearch.password: password
#xpack.monitoring.elasticsearch.proxy: ["http://proxy:port"]
#xpack.monitoring.elasticsearch.hosts: ["https://es1:9200", "https://es2:9200"]
# an alternative to hosts + username/password settings is to use cloud_id/cloud_auth
#xpack.monitoring.elasticsearch.cloud_id: monitoring_cluster_id:xxxxxxxxxx
#xpack.monitoring.elasticsearch.cloud_auth: logstash_system:password
# another authentication alternative is to use an Elasticsearch API key
#xpack.monitoring.elasticsearch.api_key: "id:api_key"
#xpack.monitoring.elasticsearch.ssl.certificate_authority: "/path/to/ca.crt"
#xpack.monitoring.elasticsearch.ssl.ca_trusted_fingerprint: xxxxxxxxxx
#xpack.monitoring.elasticsearch.ssl.truststore.path: path/to/file
#xpack.monitoring.elasticsearch.ssl.truststore.password: password
# use either keystore.path/keystore.password or certificate/key configurations
#xpack.monitoring.elasticsearch.ssl.keystore.path: /path/to/file
#xpack.monitoring.elasticsearch.ssl.keystore.password: password
#xpack.monitoring.elasticsearch.ssl.certificate: /path/to/file
#xpack.monitoring.elasticsearch.ssl.key: /path/to/key
#xpack.monitoring.elasticsearch.ssl.verification_mode: full
#xpack.monitoring.elasticsearch.ssl.cipher_suites: []
#xpack.monitoring.elasticsearch.sniffing: false
#xpack.monitoring.collection.interval: 10s
#xpack.monitoring.collection.pipeline.details.enabled: true
#
# X-Pack Management
# https://www.elastic.co/guide/en/logstash/current/logstash-centralized-pipeline-management.html
xpack.management.enabled: true
xpack.management.pipeline.id: ["*"]
xpack.management.elasticsearch.username: elastic
xpack.management.elasticsearch.password: V7cnBvxHigzo3XpEBSdw
#xpack.management.elasticsearch.proxy: ["http://proxy:port"]
xpack.management.elasticsearch.hosts: "http://localhost:9200"
# an alternative to hosts + username/password settings is to use cloud_id/cloud_auth
#xpack.management.elasticsearch.cloud_id: management_cluster_id:xxxxxxxxxx
#xpack.management.elasticsearch.cloud_auth: logstash_admin_user:password
# another authentication alternative is to use an Elasticsearch API key
#xpack.management.elasticsearch.api_key: "id:api_key"
#xpack.management.elasticsearch.ssl.ca_trusted_fingerprint: xxxxxxxxxx
#xpack.management.elasticsearch.ssl.certificate_authority: "/path/to/ca.crt"
#xpack.management.elasticsearch.ssl.truststore.path: /path/to/file
#xpack.management.elasticsearch.ssl.truststore.password: password
# use either keystore.path/keystore.password or certificate/key configurations
#xpack.management.elasticsearch.ssl.keystore.path: /path/to/file
#xpack.management.elasticsearch.ssl.keystore.password: password
#xpack.management.elasticsearch.ssl.certificate: /path/to/file
#xpack.management.elasticsearch.ssl.key: /path/to/certificate_key_file
#xpack.management.elasticsearch.ssl.cipher_suites: []
#xpack.management.elasticsearch.ssl.verification_mode: full
#xpack.management.elasticsearch.sniffing: false
xpack.management.logstash.poll_interval: 5s
# X-Pack GeoIP Database Management
# https://www.elastic.co/guide/en/logstash/current/plugins-filters-geoip.html#plugins-filters-geoip-manage_update
#xpack.geoip.downloader.enabled: true
#xpack.geoip.downloader.endpoint: "https://geoip.elastic.co/v1/database"
Currently with this config logstash is simply trying to read pipelines.yml which does not have any config there and hence fails to start, it is expected that logstash should connect to Elasticsearch and execute the pipeline configured there, i request from the community to check the yml provided and let me know where i am going wrong,...
As mentioned in yml, user used to connect to Elasticsearch is "elastic" which is a super user and i m able to login to kibana also with this, execute health, and pipeline management apis too.
need support in resolving this asap, thanks in advance.
