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Elasticsearch

<div class="condensed-table">
| | |
| --- | --- |
| Version | 1.16.0 (View all) |
| Compatible Kibana version(s) | 8.10.1 or higher |
| Supported Serverless project types
What’s this? | Security
Observability |
| Subscription level
What’s this? | Basic |

</div>
The elasticsearch package collects metrics and logs of Elasticsearch.

The elasticsearch package can monitor Elasticsearch 8.5.0 and later.

Note

Configure the var.paths setting to point to JSON logs.

**Exported fields**
Field Description Type
@timestamp Event timestamp. date
data_stream.dataset Data stream dataset. constant_keyword
data_stream.namespace Data stream namespace. constant_keyword
data_stream.type Data stream type. constant_keyword
ecs.version ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices — which may conform to slightly different ECS versions — this field lets integrations adjust to the schema version of the events. keyword
elasticsearch.audit.action The name of the action that was executed keyword
elasticsearch.audit.authentication.type keyword
elasticsearch.audit.component keyword
elasticsearch.audit.event_type The type of event that occurred: anonymous_access_denied, authentication_failed, access_denied, access_granted, connection_granted, connection_denied, tampered_request, run_as_granted, run_as_denied keyword
elasticsearch.audit.indices Indices accessed by action keyword
elasticsearch.audit.invalidate.apikeys.owned_by_authenticated_user boolean
elasticsearch.audit.layer The layer from which this event originated: rest, transport or ip_filter keyword
elasticsearch.audit.message text
elasticsearch.audit.opaque_id keyword
elasticsearch.audit.origin.type Where the request originated: rest (request originated from a REST API request), transport (request was received on the transport channel), local_node (the local node issued the request) keyword
elasticsearch.audit.realm The authentication realm the authentication was validated against keyword
elasticsearch.audit.request.id Unique ID of request keyword
elasticsearch.audit.request.name The type of request that was executed keyword
elasticsearch.audit.url.params REST URI parameters keyword
elasticsearch.audit.user.realm The user’s authentication realm, if authenticated keyword
elasticsearch.audit.user.roles Roles to which the principal belongs keyword
elasticsearch.audit.user.run_as.name keyword
elasticsearch.audit.user.run_as.realm keyword
elasticsearch.cluster.name Name of the cluster keyword
elasticsearch.cluster.uuid UUID of the cluster keyword
elasticsearch.component Elasticsearch component from where the log event originated keyword
elasticsearch.index.id Index id keyword
elasticsearch.index.name Index name keyword
elasticsearch.node.id ID of the node keyword
elasticsearch.node.name Name of the node keyword
elasticsearch.shard.id Id of the shard keyword
event.created event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent’s or pipeline’s ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used. date
event.ingested Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It’s also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested. date
event.module Event module constant_keyword
http Fields related to HTTP activity. Use the url field set to store the url of the request. group
http.request.body.content The full HTTP request body. wildcard
http.request.body.content.text Multi-field of http.request.body.content. match_only_text
http.request.id A unique identifier for each HTTP request to correlate logs between clients and servers in transactions. The id may be contained in a non-standard HTTP header, such as X-Request-ID or X-Correlation-ID. keyword
http.request.method HTTP request method. The value should retain its casing from the original event. For example, GET, get, and GeT are all considered valid values for this field. keyword
input.type keyword
log.file.path Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn’t read from a log file, do not populate this field. keyword
log.level Original log level of the log event. If the source of the event provides a log level or textual severity, this is the one that goes in log.level. If your source doesn’t specify one, you may put your event transport’s severity here (e.g. Syslog severity). Some examples are warn, err, i, informational. keyword
log.offset long
message For log events the message field contains the log message, optimized for viewing in a log viewer. For structured logs without an original message field, other fields can be concatenated to form a human-readable summary of the event. If multiple messages exist, they can be combined into one message. match_only_text
related.user keyword
service.type The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch. keyword
source Source fields capture details about the sender of a network exchange/packet. These fields are populated from a network event, packet, or other event containing details of a network transaction. Source fields are usually populated in conjunction with destination fields. The source and destination fields are considered the baseline and should always be filled if an event contains source and destination details from a network transaction. If the event also contains identification of the client and server roles, then the client and server fields should also be populated. group
source.address Some event source addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is. keyword
source.ip IP address of the source (IPv4 or IPv6). ip
source.port Port of the source. long
trace.id Unique identifier of the trace. A trace groups multiple events like transactions that belong together. For example, a user request handled by multiple inter-connected services. keyword
url URL fields provide support for complete or partial URLs, and supports the breaking down into scheme, domain, path, and so on. group
url.original Unmodified original url as seen in the event source. Note that in network monitoring, the observed URL may be a full URL, whereas in access logs, the URL is often just represented as a path. This field is meant to represent the URL as it was observed, complete or not. wildcard
url.original.text Multi-field of url.original. match_only_text
user The user fields describe information about the user that is relevant to the event. Fields can have one entry or multiple entries. If a user has more than one id, provide an array that includes all of them. group
user.name Short name or login of the user. keyword
user.name.text Multi-field of user.name. match_only_text
**Exported fields**
Field Description Type
@timestamp Event timestamp. date
data_stream.dataset Data stream dataset. constant_keyword
data_stream.namespace Data stream namespace. constant_keyword
data_stream.type Data stream type. constant_keyword
ecs.version ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices — which may conform to slightly different ECS versions — this field lets integrations adjust to the schema version of the events. keyword
elasticsearch.cluster.name Name of the cluster keyword
elasticsearch.cluster.uuid UUID of the cluster keyword
elasticsearch.component Elasticsearch component from where the log event originated keyword
elasticsearch.elastic_product_origin keyword
elasticsearch.event.category keyword
elasticsearch.http.request.x_opaque_id keyword
elasticsearch.index.id Index id keyword
elasticsearch.index.name Index name keyword
elasticsearch.node.id ID of the node keyword
elasticsearch.node.name Name of the node keyword
elasticsearch.shard.id Id of the shard keyword
event.category This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories. keyword
event.created event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent’s or pipeline’s ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used. date
event.ingested Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It’s also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested. date
event.kind This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data coming in at a regular interval or not. keyword
event.module Event module constant_keyword
event.original Raw text message of entire event. Used to demonstrate log integrity or where the full log message (before splitting it up in multiple parts) may be required, e.g. for reindex. This field is not indexed and doc_values are disabled. It cannot be searched, but it can be retrieved from _source. If users wish to override this and index this field, please see Field data types in the Elasticsearch Reference. keyword
event.type This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types. keyword
host.ip Host ip addresses. ip
input.type keyword
log.file.path Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn’t read from a log file, do not populate this field. keyword
log.level Original log level of the log event. If the source of the event provides a log level or textual severity, this is the one that goes in log.level. If your source doesn’t specify one, you may put your event transport’s severity here (e.g. Syslog severity). Some examples are warn, err, i, informational. keyword
log.logger The name of the logger inside an application. This is usually the name of the class which initialized the logger, or can be a custom name. keyword
log.offset long
message For log events the message field contains the log message, optimized for viewing in a log viewer. For structured logs without an original message field, other fields can be concatenated to form a human-readable summary of the event. If multiple messages exist, they can be combined into one message. match_only_text
process.thread.name Thread name. keyword
service.name Name of the service data is collected from. The name of the service is normally user given. This allows for distributed services that run on multiple hosts to correlate the related instances based on the name. In the case of Elasticsearch the service.name could contain the cluster name. For Beats the service.name is by default a copy of the service.type field if no name is specified. keyword
service.type The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch. keyword
trace.id Unique identifier of the trace. A trace groups multiple events like transactions that belong together. For example, a user request handled by multiple inter-connected services. keyword
**Exported fields**
Field Description Type
@timestamp Event timestamp. date
data_stream.dataset Data stream dataset. constant_keyword
data_stream.namespace Data stream namespace. constant_keyword
data_stream.type Data stream type. constant_keyword
ecs.version ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices — which may conform to slightly different ECS versions — this field lets integrations adjust to the schema version of the events. keyword
elasticsearch.cluster.name Name of the cluster keyword
elasticsearch.cluster.uuid UUID of the cluster keyword
elasticsearch.component Elasticsearch component from where the log event originated keyword
elasticsearch.gc.heap.size_kb Total heap size in kilobytes. integer
elasticsearch.gc.heap.used_kb Used heap in kilobytes. integer
elasticsearch.gc.jvm_runtime_sec The time from JVM start up in seconds, as a floating point number. float
elasticsearch.gc.old_gen.size_kb Total size of old generation in kilobytes. integer
elasticsearch.gc.old_gen.used_kb Old generation occupancy in kilobytes. integer
elasticsearch.gc.phase.class_unload_time_sec Time spent unloading unused classes in seconds. float
elasticsearch.gc.phase.cpu_time.real_sec Total elapsed CPU time spent to complete the collection from start to finish. float
elasticsearch.gc.phase.cpu_time.sys_sec CPU time spent inside the kernel. float
elasticsearch.gc.phase.cpu_time.user_sec CPU time spent outside the kernel. float
elasticsearch.gc.phase.duration_sec Collection phase duration according to the Java virtual machine. float
elasticsearch.gc.phase.name Name of the GC collection phase. keyword
elasticsearch.gc.phase.parallel_rescan_time_sec Time spent in seconds marking live objects while application is stopped. float
elasticsearch.gc.phase.scrub_string_table_time_sec Pause time in seconds cleaning up string tables. float
elasticsearch.gc.phase.scrub_symbol_table_time_sec Pause time in seconds cleaning up symbol tables. float
elasticsearch.gc.phase.weak_refs_processing_time_sec Time spent processing weak references in seconds. float
elasticsearch.gc.stopping_threads_time_sec Time took to stop threads seconds. float
elasticsearch.gc.tags GC logging tags. keyword
elasticsearch.gc.threads_total_stop_time_sec Garbage collection threads total stop time seconds. float
elasticsearch.gc.young_gen.size_kb Total size of young generation in kilobytes. integer
elasticsearch.gc.young_gen.used_kb Young generation occupancy in kilobytes. integer
elasticsearch.index.id Index id keyword
elasticsearch.index.name Index name keyword
elasticsearch.node.id ID of the node keyword
elasticsearch.node.name Name of the node keyword
elasticsearch.shard.id Id of the shard keyword
event.category This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories. keyword
event.created event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent’s or pipeline’s ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used. date
event.ingested Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It’s also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested. date
event.kind This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data coming in at a regular interval or not. keyword
event.module Event module constant_keyword
event.original Raw text message of entire event. Used to demonstrate log integrity or where the full log message (before splitting it up in multiple parts) may be required, e.g. for reindex. This field is not indexed and doc_values are disabled. It cannot be searched, but it can be retrieved from _source. If users wish to override this and index this field, please see Field data types in the Elasticsearch Reference. keyword
event.type This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types. keyword
host.ip Host ip addresses. ip
input.type keyword
log.file.path Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn’t read from a log file, do not populate this field. keyword
log.level Original log level of the log event. If the source of the event provides a log level or textual severity, this is the one that goes in log.level. If your source doesn’t specify one, you may put your event transport’s severity here (e.g. Syslog severity). Some examples are warn, err, i, informational. keyword
log.offset long
message For log events the message field contains the log message, optimized for viewing in a log viewer. For structured logs without an original message field, other fields can be concatenated to form a human-readable summary of the event. If multiple messages exist, they can be combined into one message. match_only_text
process.pid Process id. long
service.type The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch. keyword
**Exported fields**
Field Description Type
@timestamp Event timestamp. date
data_stream.dataset Data stream dataset. constant_keyword
data_stream.namespace Data stream namespace. constant_keyword
data_stream.type Data stream type. constant_keyword
ecs.version ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices — which may conform to slightly different ECS versions — this field lets integrations adjust to the schema version of the events. keyword
elasticsearch.cluster.name Name of the cluster keyword
elasticsearch.cluster.uuid UUID of the cluster keyword
elasticsearch.component Elasticsearch component from where the log event originated keyword
elasticsearch.index.id Index id keyword
elasticsearch.index.name Index name keyword
elasticsearch.node.id ID of the node keyword
elasticsearch.node.name Name of the node keyword
elasticsearch.server.gc.collection_duration.ms Time spent in GC, in milliseconds float
elasticsearch.server.gc.observation_duration.ms Total time over which collection was observed, in milliseconds float
elasticsearch.server.gc.overhead_seq Sequence number long
elasticsearch.server.gc.young.one long
elasticsearch.server.gc.young.two long
elasticsearch.server.stacktrace keyword
elasticsearch.server.tags keyword
elasticsearch.server.trace.id keyword
elasticsearch.shard.id Id of the shard keyword
event.category This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories. keyword
event.created event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent’s or pipeline’s ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used. date
event.ingested Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It’s also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested. date
event.kind This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data coming in at a regular interval or not. keyword
event.module Event module constant_keyword
event.original Raw text message of entire event. Used to demonstrate log integrity or where the full log message (before splitting it up in multiple parts) may be required, e.g. for reindex. This field is not indexed and doc_values are disabled. It cannot be searched, but it can be retrieved from _source. If users wish to override this and index this field, please see Field data types in the Elasticsearch Reference. keyword
event.type This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types. keyword
host.ip Host ip addresses. ip
input.type keyword
log.file.path Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn’t read from a log file, do not populate this field. keyword
log.level Original log level of the log event. If the source of the event provides a log level or textual severity, this is the one that goes in log.level. If your source doesn’t specify one, you may put your event transport’s severity here (e.g. Syslog severity). Some examples are warn, err, i, informational. keyword
log.logger The name of the logger inside an application. This is usually the name of the class which initialized the logger, or can be a custom name. keyword
log.offset long
message For log events the message field contains the log message, optimized for viewing in a log viewer. For structured logs without an original message field, other fields can be concatenated to form a human-readable summary of the event. If multiple messages exist, they can be combined into one message. match_only_text
process.thread.name Thread name. keyword
server.name keyword
server.type keyword
service.name Name of the service data is collected from. The name of the service is normally user given. This allows for distributed services that run on multiple hosts to correlate the related instances based on the name. In the case of Elasticsearch the service.name could contain the cluster name. For Beats the service.name is by default a copy of the service.type field if no name is specified. keyword
service.type The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch. keyword
trace.id Unique identifier of the trace. A trace groups multiple events like transactions that belong together. For example, a user request handled by multiple inter-connected services. keyword
**Exported fields**
Field Description Type
@timestamp Event timestamp. date
data_stream.dataset Data stream dataset. constant_keyword
data_stream.namespace Data stream namespace. constant_keyword
data_stream.type Data stream type. constant_keyword
ecs.version ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices — which may conform to slightly different ECS versions — this field lets integrations adjust to the schema version of the events. keyword
elasticsearch.cluster.name Name of the cluster keyword
elasticsearch.cluster.uuid UUID of the cluster keyword
elasticsearch.component Elasticsearch component from where the log event originated keyword
elasticsearch.index.id Index id keyword
elasticsearch.index.name Index name keyword
elasticsearch.node.id ID of the node keyword
elasticsearch.node.name Name of the node keyword
elasticsearch.shard.id Id of the shard keyword
elasticsearch.slowlog.extra_source Extra source information keyword
elasticsearch.slowlog.id Id keyword
elasticsearch.slowlog.logger Logger name keyword
elasticsearch.slowlog.routing Routing keyword
elasticsearch.slowlog.search_type Search type keyword
elasticsearch.slowlog.source Source of document that was indexed keyword
elasticsearch.slowlog.source_query Slow query keyword
elasticsearch.slowlog.stats Stats groups keyword
elasticsearch.slowlog.took Time it took to execute the query keyword
elasticsearch.slowlog.total_hits Total hits keyword
elasticsearch.slowlog.total_shards Total queried shards long
elasticsearch.slowlog.type Type keyword
elasticsearch.slowlog.types Types keyword
event.category This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories. keyword
event.created event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent’s or pipeline’s ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used. date
event.ingested Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It’s also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested. date
event.kind This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data coming in at a regular interval or not. keyword
event.module Event module constant_keyword
event.original Raw text message of entire event. Used to demonstrate log integrity or where the full log message (before splitting it up in multiple parts) may be required, e.g. for reindex. This field is not indexed and doc_values are disabled. It cannot be searched, but it can be retrieved from _source. If users wish to override this and index this field, please see Field data types in the Elasticsearch Reference. keyword
event.type This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types. keyword
input.type keyword
log.file.path Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn’t read from a log file, do not populate this field. keyword
log.level Original log level of the log event. If the source of the event provides a log level or textual severity, this is the one that goes in log.level. If your source doesn’t specify one, you may put your event transport’s severity here (e.g. Syslog severity). Some examples are warn, err, i, informational. keyword
log.logger The name of the logger inside an application. This is usually the name of the class which initialized the logger, or can be a custom name. keyword
log.offset long
message For log events the message field contains the log message, optimized for viewing in a log viewer. For structured logs without an original message field, other fields can be concatenated to form a human-readable summary of the event. If multiple messages exist, they can be combined into one message. match_only_text
process.thread.name Thread name. keyword
service.name Name of the service data is collected from. The name of the service is normally user given. This allows for distributed services that run on multiple hosts to correlate the related instances based on the name. In the case of Elasticsearch the service.name could contain the cluster name. For Beats the service.name is by default a copy of the service.type field if no name is specified. keyword
service.type The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch. keyword
trace.id Unique identifier of the trace. A trace groups multiple events like transactions that belong together. For example, a user request handled by multiple inter-connected services. keyword

The elasticsearch package can be used to collect logs and metrics shown in our Stack Monitoring UI in Kibana.

Like other package, elasticsearch metrics collection accepts a hosts configuration setting. This setting can contain a list of entries. The related scope setting determines how each entry in the hosts list is interpreted by the module.

  • If scope is set to node (default), each entry in the hosts list indicates a distinct node in an Elasticsearch cluster.
  • If scope is set to cluster, each entry in the hosts list indicates a single endpoint for a distinct Elasticsearch cluster (for example, a load-balancing proxy fronting the cluster).

CCR It uses the Cross-Cluster Replication Stats API endpoint to fetch metrics about cross-cluster replication from the Elasticsearch clusters that are participating in cross-cluster replication.

If the Elasticsearch cluster does not have cross-cluster replication enabled, this package will not collect metrics. A DEBUG log message about this will be emitted in the log.

**Exported fields**
Field Description Type Metric Type
@timestamp Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events. date
agent.id Unique identifier of this agent (if one exists). Example: For Beats this would be beat.id. keyword
ccr_auto_follow_stats.follower.failed_read_requests alias
ccr_auto_follow_stats.number_of_failed_follow_indices alias
ccr_auto_follow_stats.number_of_failed_remote_cluster_state_requests alias
ccr_auto_follow_stats.number_of_successful_follow_indices alias
ccr_stats.bytes_read alias
ccr_stats.failed_read_requests alias
ccr_stats.failed_write_requests alias
ccr_stats.follower_aliases_version alias
ccr_stats.follower_global_checkpoint alias
ccr_stats.follower_index alias
ccr_stats.follower_mapping_version alias
ccr_stats.follower_max_seq_no alias
ccr_stats.follower_settings_version alias
ccr_stats.last_requested_seq_no alias
ccr_stats.leader_global_checkpoint alias
ccr_stats.leader_index alias
ccr_stats.leader_max_seq_no alias
ccr_stats.operations_read alias
ccr_stats.operations_written alias
ccr_stats.outstanding_read_requests alias
ccr_stats.outstanding_write_requests alias
ccr_stats.remote_cluster alias
ccr_stats.shard_id alias
ccr_stats.successful_read_requests alias
ccr_stats.successful_write_requests alias
ccr_stats.total_read_remote_exec_time_millis alias
ccr_stats.total_read_time_millis alias
ccr_stats.total_write_time_millis alias
ccr_stats.write_buffer_operation_count alias
ccr_stats.write_buffer_size_in_bytes alias
cluster_uuid alias
data_stream.dataset Data stream dataset. constant_keyword
data_stream.namespace Data stream namespace. constant_keyword
data_stream.type Data stream type. constant_keyword
ecs.version ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices — which may conform to slightly different ECS versions — this field lets integrations adjust to the schema version of the events. keyword
elasticsearch.ccr.auto_follow.failed.follow_indices.count long gauge
elasticsearch.ccr.auto_follow.failed.remote_cluster_state_requests.count long gauge
elasticsearch.ccr.auto_follow.success.follow_indices.count long gauge
elasticsearch.ccr.bytes_read long gauge
elasticsearch.ccr.follower.aliases_version long gauge
elasticsearch.ccr.follower.global_checkpoint Global checkpoint value on follower shard long gauge
elasticsearch.ccr.follower.index Name of follower index keyword
elasticsearch.ccr.follower.mapping_version long gauge
elasticsearch.ccr.follower.max_seq_no Maximum sequence number of operation on the follower shard long gauge
elasticsearch.ccr.follower.operations.read.count Current count of read operations. long gauge
elasticsearch.ccr.follower.operations_written Total number of operations indexed (replicated) into the follower shard from the leader shard long counter
elasticsearch.ccr.follower.settings_version long gauge
elasticsearch.ccr.follower.shard.number Number of the shard within the index long
elasticsearch.ccr.follower.time_since_last_read.ms Time, in ms, since the follower last fetched from the leader long gauge
elasticsearch.ccr.last_requested_seq_no long gauge
elasticsearch.ccr.leader.global_checkpoint long gauge
elasticsearch.ccr.leader.index Name of leader index keyword
elasticsearch.ccr.leader.max_seq_no Maximum sequence number of operation on the leader shard long gauge
elasticsearch.ccr.read_exceptions nested
elasticsearch.ccr.read_exceptions.exception object
elasticsearch.ccr.read_exceptions.exception.reason text
elasticsearch.ccr.read_exceptions.exception.type keyword
elasticsearch.ccr.read_exceptions.from_seq_no long gauge
elasticsearch.ccr.read_exceptions.retries integer gauge
elasticsearch.ccr.remote_cluster keyword
elasticsearch.ccr.requests.failed.read.count long counter
elasticsearch.ccr.requests.failed.write.count long counter
elasticsearch.ccr.requests.outstanding.read.count long counter
elasticsearch.ccr.requests.outstanding.write.count long counter
elasticsearch.ccr.requests.successful.read.count long counter
elasticsearch.ccr.requests.successful.write.count long counter
elasticsearch.ccr.shard_id integer
elasticsearch.ccr.total_time.read.ms long gauge
elasticsearch.ccr.total_time.read.remote_exec.ms long gauge
elasticsearch.ccr.total_time.write.ms long gauge
elasticsearch.ccr.write_buffer.operation.count long gauge
elasticsearch.ccr.write_buffer.size.bytes long gauge
elasticsearch.cluster.id Elasticsearch cluster id. keyword
elasticsearch.cluster.name Elasticsearch cluster name. keyword
elasticsearch.cluster.state.id Elasticsearch state id. keyword
elasticsearch.node.id Node ID keyword
elasticsearch.node.master Is the node the master node? boolean
elasticsearch.node.mlockall Is mlockall enabled on the node? boolean
elasticsearch.node.name Node name. keyword
error.message Error message. match_only_text
event.dataset Name of the dataset. If an event source publishes more than one type of log or events (e.g. access log, error log), the dataset is used to specify which one the event comes from. It’s recommended but not required to start the dataset name with the module name, followed by a dot, then the dataset name. keyword
event.duration Duration of the event in nanoseconds. If event.start and event.end are known this value should be the difference between the end and start time. long
event.module Name of the module this data is coming from. If your monitoring agent supports the concept of modules or plugins to process events of a given source (e.g. Apache logs), event.module should contain the name of this module. keyword
host.name Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use. keyword
service.address Service address keyword
service.name Name of the service data is collected from. The name of the service is normally user given. This allows for distributed services that run on multiple hosts to correlate the related instances based on the name. In the case of Elasticsearch the service.name could contain the cluster name. For Beats the service.name is by default a copy of the service.type field if no name is specified. keyword
service.type The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch. keyword
source_node.name alias
source_node.uuid alias
timestamp alias

cluster_stats interrogates the Cluster Stats API endpoint to fetch information about the Elasticsearch cluster.

**Example**

An example event for cluster_stats looks as following:

{
    "@timestamp": "2022-10-11T14:40:29.703Z",
    "agent": {
        "ephemeral_id": "ca2952fa-aafc-49ad-9612-07b4ced53652",
        "id": "79e48fe3-2ecd-4021-aed5-6e7e69d47606",
        "name": "docker-fleet-agent",
        "type": "metricbeat",
        "version": "8.5.0"
    },
    "data_stream": {
        "dataset": "elasticsearch.stack_monitoring.cluster_stats",
        "namespace": "ep",
        "type": "metrics"
    },
    "ecs": {
        "version": "8.0.0"
    },
    "elastic_agent": {
        "id": "79e48fe3-2ecd-4021-aed5-6e7e69d47606",
        "snapshot": true,
        "version": "8.5.0"
    },
    "elasticsearch": {
        "cluster": {
            "id": "H4rX2Qc4Tquh3MHuVuzdeQ",
            "name": "elasticsearch",
            "stats": {
                "indices": {
                    "docs": {
                        "total": 18
                    },
                    "fielddata": {
                        "memory": {
                            "bytes": 0
                        }
                    },
                    "shards": {
                        "count": 12,
                        "primaries": 12
                    },
                    "store": {
                        "size": {
                            "bytes": 95749
                        }
                    },
                    "total": 10
                },
                "license": {
                    "cluster_needs_tls": true,
                    "expiry_date": "2022-11-10T14:40:10.162Z",
                    "expiry_date_in_millis": 1668091210162,
                    "issue_date": "2022-10-11T14:40:10.162Z",
                    "issue_date_in_millis": 1665499210162,
                    "issued_to": "elasticsearch",
                    "issuer": "elasticsearch",
                    "max_nodes": 1000,
                    "start_date_in_millis": -1,
                    "status": "active",
                    "type": "trial",
                    "uid": "cbabb3e0-7294-4784-8ccb-118a2076d940"
                },
                "nodes": {
                    "count": 1,
                    "fs": {
                        "available": {
                            "bytes": 160894537728
                        },
                        "total": {
                            "bytes": 194136477696
                        }
                    },
                    "jvm": {
                        "max_uptime": {
                            "ms": 34416
                        },
                        "memory": {
                            "heap": {
                                "max": {
                                    "bytes": 1073741824
                                },
                                "used": {
                                    "bytes": 477367808
                                }
                            }
                        }
                    },
                    "master": 1,
                    "versions": [
                        "8.5.0"
                    ]
                },
                "stack": {
                    "xpack": {
                        "ccr": {
                            "available": true,
                            "enabled": true
                        }
                    }
                },
                "state": {
                    "master_node": "Unf_fjGESWun1vbtRzJK9w",
                    "nodes": {
                        "Unf_fjGESWun1vbtRzJK9w": {
                            "attributes": {
                                "ml.allocated_processors": "7",
                                "ml.allocated_processors_double": "7.0",
                                "ml.machine_memory": "12544004096",
                                "ml.max_jvm_size": "1073741824",
                                "xpack.installed": "true"
                            },
                            "ephemeral_id": "HUlmpnU2S0ilRSHZ_F1tTg",
                            "external_id": "b978cf9a6a3c",
                            "name": "b978cf9a6a3c",
                            "roles": [
                                "data",
                                "data_cold",
                                "data_content",
                                "data_frozen",
                                "data_hot",
                                "data_warm",
                                "ingest",
                                "master",
                                "ml",
                                "remote_cluster_client",
                                "transform"
                            ],
                            "transport_address": "127.0.0.1:9300"
                        }
                    },
                    "nodes_hash": 460682572,
                    "state_uuid": "d3z5ixwbTbeUf08VWE9Vcw"
                },
                "status": "yellow"
            }
        },
        "version": 60
    },
    "event": {
        "agent_id_status": "verified",
        "dataset": "elasticsearch.stack_monitoring.cluster_stats",
        "duration": 447033584,
        "ingested": "2022-10-11T14:40:31Z",
        "module": "elasticsearch"
    },
    "host": {
        "architecture": "x86_64",
        "containerized": false,
        "hostname": "docker-fleet-agent",
        "id": "b6bc6723e51b43959ce07f0c3105c72d",
        "ip": [
            "192.168.0.7"
        ],
        "mac": [
            "02-42-C0-A8-00-07"
        ],
        "name": "docker-fleet-agent",
        "os": {
            "codename": "focal",
            "family": "debian",
            "kernel": "5.10.124-linuxkit",
            "name": "Ubuntu",
            "platform": "ubuntu",
            "type": "linux",
            "version": "20.04.5 LTS (Focal Fossa)"
        }
    },
    "metricset": {
        "name": "cluster_stats",
        "period": 10000
    },
    "service": {
        "address": "http://elastic-package-service-elasticsearch-1:9200",
        "type": "elasticsearch"
    }
}
**Exported fields**
Field Description Type Metric Type
@timestamp Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events. date
agent.id Unique identifier of this agent (if one exists). Example: For Beats this would be beat.id. keyword
cluster_settings.cluster.metadata.display_name keyword
cluster_state.master_node alias
cluster_state.nodes_hash alias
cluster_state.state_uuid alias
cluster_state.status alias
cluster_state.version alias
cluster_stats.indices.count alias
cluster_stats.indices.shards.total alias
cluster_stats.nodes.count.total alias
cluster_stats.nodes.jvm.max_uptime_in_millis alias
cluster_stats.nodes.jvm.mem.heap_max_in_bytes alias
cluster_stats.nodes.jvm.mem.heap_used_in_bytes alias
cluster_uuid alias
data_stream.dataset Data stream dataset. constant_keyword
data_stream.namespace Data stream namespace. constant_keyword
data_stream.type Data stream type. constant_keyword
ecs.version ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices — which may conform to slightly different ECS versions — this field lets integrations adjust to the schema version of the events. keyword
elasticsearch.cluster.id Elasticsearch cluster id. keyword
elasticsearch.cluster.name Elasticsearch cluster name. keyword
elasticsearch.cluster.state.id Elasticsearch state id. keyword
elasticsearch.cluster.stats.indices.docs.total Total number of indices in cluster. long gauge
elasticsearch.cluster.stats.indices.fielddata.memory.bytes Memory used for fielddata. long gauge
elasticsearch.cluster.stats.indices.shards.count Total number of shards in cluster. long gauge
elasticsearch.cluster.stats.indices.shards.primaries Total number of primary shards in cluster. long gauge
elasticsearch.cluster.stats.indices.store.size.bytes long gauge
elasticsearch.cluster.stats.indices.store.total_data_set_size.bytes long gauge
elasticsearch.cluster.stats.indices.total long gauge
elasticsearch.cluster.stats.license.cluster_needs_tls boolean
elasticsearch.cluster.stats.license.expiry_date date
elasticsearch.cluster.stats.license.expiry_date_in_millis long
elasticsearch.cluster.stats.license.issue_date date
elasticsearch.cluster.stats.license.issue_date_in_millis long
elasticsearch.cluster.stats.license.issued_to keyword
elasticsearch.cluster.stats.license.issuer keyword
elasticsearch.cluster.stats.license.max_nodes long
elasticsearch.cluster.stats.license.start_date_in_millis long
elasticsearch.cluster.stats.license.status keyword
elasticsearch.cluster.stats.license.type keyword
elasticsearch.cluster.stats.license.uid keyword
elasticsearch.cluster.stats.nodes.count Total number of nodes in cluster. long gauge
elasticsearch.cluster.stats.nodes.data long gauge
elasticsearch.cluster.stats.nodes.fs.available.bytes long gauge
elasticsearch.cluster.stats.nodes.fs.total.bytes long gauge
elasticsearch.cluster.stats.nodes.jvm.max_uptime.ms long gauge
elasticsearch.cluster.stats.nodes.jvm.memory.heap.max.bytes long gauge
elasticsearch.cluster.stats.nodes.jvm.memory.heap.used.bytes long gauge
elasticsearch.cluster.stats.nodes.master Number of master-eligible nodes in cluster. long gauge
elasticsearch.cluster.stats.nodes.stats.data Number of data nodes in cluster. long gauge
elasticsearch.cluster.stats.nodes.versions text
elasticsearch.cluster.stats.stack.apm.found boolean
elasticsearch.cluster.stats.stack.xpack.ccr.available boolean
elasticsearch.cluster.stats.stack.xpack.ccr.enabled boolean
elasticsearch.cluster.stats.state.master_node keyword
elasticsearch.cluster.stats.state.nodes flattened
elasticsearch.cluster.stats.state.nodes_hash keyword
elasticsearch.cluster.stats.state.state_uuid keyword
elasticsearch.cluster.stats.state.version keyword
elasticsearch.cluster.stats.status Cluster status (green, yellow, red). keyword
elasticsearch.cluster.stats.version keyword
elasticsearch.node.id Node ID keyword
elasticsearch.node.master Is the node the master node? boolean
elasticsearch.node.mlockall Is mlockall enabled on the node? boolean
elasticsearch.node.name Node name. keyword
elasticsearch.version keyword
error.message Error message. match_only_text
event.dataset Name of the dataset. If an event source publishes more than one type of log or events (e.g. access log, error log), the dataset is used to specify which one the event comes from. It’s recommended but not required to start the dataset name with the module name, followed by a dot, then the dataset name. keyword
event.duration Duration of the event in nanoseconds. If event.start and event.end are known this value should be the difference between the end and start time. long
event.module Name of the module this data is coming from. If your monitoring agent supports the concept of modules or plugins to process events of a given source (e.g. Apache logs), event.module should contain the name of this module. keyword
host.name Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use. keyword
license.status alias
license.type alias
service.address Service address keyword
service.name Name of the service data is collected from. The name of the service is normally user given. This allows for distributed services that run on multiple hosts to correlate the related instances based on the name. In the case of Elasticsearch the service.name could contain the cluster name. For Beats the service.name is by default a copy of the service.type field if no name is specified. keyword
service.type The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch. keyword
source_node.name alias
source_node.uuid alias
stack_stats.apm.found alias
stack_stats.xpack.ccr.available alias
stack_stats.xpack.ccr.enabled alias
timestamp alias

Enrch interrogates the Enrich Stats API endpoint to fetch information about Enrich coordinator nodesin the Elasticsearch cluster that are participating in ingest-time enrichment.

**Example**

An example event for enrich looks as following:

{
    "agent": {
        "hostname": "docker-fleet-agent",
        "name": "docker-fleet-agent",
        "id": "60e15e27-7080-4c28-9900-5a087c2ff74c",
        "type": "metricbeat",
        "ephemeral_id": "2b6da727-313f-41fc-84af-3cd928f265c1",
        "version": "7.14.0"
    },
    "elastic_agent": {
        "id": "60e15e27-7080-4c28-9900-5a087c2ff74c",
        "version": "7.14.0",
        "snapshot": true
    },
    "@timestamp": "2021-07-30T14:47:15.376Z",
    "elasticsearch": {
        "node": {
            "id": "6XuAxHXaRbeX6LUrxIfAxg"
        },
        "cluster": {
            "name": "docker-cluster",
            "id": "bvF4SoDLQU-sdM3YY8JI8Q"
        },
        "enrich": {
            "executed_searches": {
                "total": 0
            },
            "remote_requests": {
                "current": 0,
                "total": 0
            },
            "queue": {
                "size": 0
            }
        }
    },
    "ecs": {
        "version": "1.10.0"
    },
    "service": {
        "address": "http://elasticsearch:9200",
        "name": "elasticsearch",
        "type": "elasticsearch"
    },
    "data_stream": {
        "namespace": "default",
        "type": "metrics",
        "dataset": "elasticsearch.stack_monitoring.enrich"
    },
    "host": {
        "hostname": "docker-fleet-agent",
        "os": {
            "kernel": "5.11.10-arch1-1",
            "codename": "Core",
            "name": "CentOS Linux",
            "type": "linux",
            "family": "redhat",
            "version": "7 (Core)",
            "platform": "centos"
        },
        "containerized": true,
        "ip": [
            "172.18.0.7"
        ],
        "name": "docker-fleet-agent",
        "id": "8979eb4aa312c3dccea3823dd92f92f5",
        "mac": [
            "02:42:ac:12:00:07"
        ],
        "architecture": "x86_64"
    },
    "metricset": {
        "period": 10000,
        "name": "enrich"
    },
    "event": {
        "duration": 2804362,
        "agent_id_status": "verified",
        "ingested": "2021-07-30T14:47:16.373180707Z",
        "module": "elasticsearch",
        "dataset": "elasticsearch.stack_monitoring.enrich"
    }
}
**Exported fields**
Field Description Type Metric Type
@timestamp Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events. date
agent.id Unique identifier of this agent (if one exists). Example: For Beats this would be beat.id. keyword
cluster_uuid alias
data_stream.dataset Data stream dataset. constant_keyword
data_stream.namespace Data stream namespace. constant_keyword
data_stream.type Data stream type. constant_keyword
ecs.version ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices — which may conform to slightly different ECS versions — this field lets integrations adjust to the schema version of the events. keyword
elasticsearch.cluster.id Elasticsearch cluster id. keyword
elasticsearch.cluster.name Elasticsearch cluster name. keyword
elasticsearch.cluster.state.id Elasticsearch state id. keyword
elasticsearch.enrich.executed_searches.total Number of search requests that enrich processors have executed since node startup. long counter
elasticsearch.enrich.executing_policy.name keyword
elasticsearch.enrich.executing_policy.task.action keyword
elasticsearch.enrich.executing_policy.task.cancellable boolean
elasticsearch.enrich.executing_policy.task.id long
elasticsearch.enrich.executing_policy.task.parent_task_id keyword
elasticsearch.enrich.executing_policy.task.task keyword
elasticsearch.enrich.executing_policy.task.time.running.nano long counter
elasticsearch.enrich.executing_policy.task.time.start.ms long
elasticsearch.enrich.queue.size Number of search requests in the queue. long gauge
elasticsearch.enrich.remote_requests.current Current number of outstanding remote requests. long gauge
elasticsearch.enrich.remote_requests.total Number of outstanding remote requests executed since node startup. long counter
elasticsearch.node.id Node ID keyword
elasticsearch.node.master Is the node the master node? boolean
elasticsearch.node.mlockall Is mlockall enabled on the node? boolean
elasticsearch.node.name Node name. keyword
error.message Error message. match_only_text
event.dataset Name of the dataset. If an event source publishes more than one type of log or events (e.g. access log, error log), the dataset is used to specify which one the event comes from. It’s recommended but not required to start the dataset name with the module name, followed by a dot, then the dataset name. keyword
event.duration Duration of the event in nanoseconds. If event.start and event.end are known this value should be the difference between the end and start time. long
event.module Name of the module this data is coming from. If your monitoring agent supports the concept of modules or plugins to process events of a given source (e.g. Apache logs), event.module should contain the name of this module. keyword
host.name Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use. keyword
service.address Service address keyword
service.name Name of the service data is collected from. The name of the service is normally user given. This allows for distributed services that run on multiple hosts to correlate the related instances based on the name. In the case of Elasticsearch the service.name could contain the cluster name. For Beats the service.name is by default a copy of the service.type field if no name is specified. keyword
service.type The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch. keyword
source_node.name alias
source_node.uuid alias
timestamp alias
**Example**

An example event for index looks as following:

{
    "@timestamp": "2022-10-11T11:51:32.135Z",
    "agent": {
        "ephemeral_id": "7047b7d7-b0f6-412b-a884-19c38671acf5",
        "id": "79e48fe3-2ecd-4021-aed5-6e7e69d47606",
        "name": "docker-fleet-agent",
        "type": "metricbeat",
        "version": "8.5.0"
    },
    "data_stream": {
        "dataset": "elasticsearch.stack_monitoring.index",
        "namespace": "ep",
        "type": "metrics"
    },
    "ecs": {
        "version": "8.0.0"
    },
    "elastic_agent": {
        "id": "79e48fe3-2ecd-4021-aed5-6e7e69d47606",
        "snapshot": true,
        "version": "8.5.0"
    },
    "elasticsearch": {
        "cluster": {
            "id": "H507Ao7tR5-NU8YnTjSYAQ",
            "name": "elasticsearch"
        },
        "index": {
            "hidden": true,
            "name": ".ml-state-000001",
            "tier_preference": "data_content",
            "creation_date": 1731657995821,
            "version": "8503000",
            "primaries": {
                "docs": {
                    "count": 0
                },
                "indexing": {
                    "index_time_in_millis": 0,
                    "index_total": 0,
                    "throttle_time_in_millis": 0
                },
                "merges": {
                    "total_size_in_bytes": 0
                },
                "refresh": {
                    "total_time_in_millis": 0
                },
                "segments": {
                    "count": 0
                },
                "store": {
                    "size_in_bytes": 225
                }
            },
            "shards": {
                "primaries": 1,
                "total": 1
            },
            "status": "green",
            "total": {
                "bulk": {
                    "avg_size_in_bytes": 0,
                    "avg_time_in_millis": 0,
                    "total_operations": 0,
                    "total_size_in_bytes": 0,
                    "total_time_in_millis": 0
                },
                "docs": {
                    "count": 0
                },
                "fielddata": {
                    "memory_size_in_bytes": 0
                },
                "indexing": {
                    "index_time_in_millis": 0,
                    "index_total": 0,
                    "throttle_time_in_millis": 0
                },
                "merges": {
                    "total_size_in_bytes": 0
                },
                "refresh": {
                    "total_time_in_millis": 0
                },
                "search": {
                    "query_time_in_millis": 0,
                    "query_total": 0
                },
                "segments": {
                    "count": 0,
                    "doc_values_memory_in_bytes": 0,
                    "fixed_bit_set_memory_in_bytes": 0,
                    "index_writer_memory_in_bytes": 0,
                    "memory_in_bytes": 0,
                    "norms_memory_in_bytes": 0,
                    "points_memory_in_bytes": 0,
                    "stored_fields_memory_in_bytes": 0,
                    "term_vectors_memory_in_bytes": 0,
                    "terms_memory_in_bytes": 0,
                    "version_map_memory_in_bytes": 0
                },
                "store": {
                    "size_in_bytes": 225
                }
            },
            "uuid": "rQEw7aohRUqpIz3fuZj6JQ"
        }
    },
    "event": {
        "agent_id_status": "verified",
        "dataset": "elasticsearch.stack_monitoring.index",
        "duration": 143033459,
        "ingested": "2022-10-11T11:51:33Z",
        "module": "elasticsearch"
    },
    "host": {
        "architecture": "x86_64",
        "containerized": false,
        "hostname": "docker-fleet-agent",
        "id": "b6bc6723e51b43959ce07f0c3105c72d",
        "ip": [
            "192.168.0.7"
        ],
        "mac": [
            "02-42-C0-A8-00-07"
        ],
        "name": "docker-fleet-agent",
        "os": {
            "codename": "focal",
            "family": "debian",
            "kernel": "5.10.124-linuxkit",
            "name": "Ubuntu",
            "platform": "ubuntu",
            "type": "linux",
            "version": "20.04.5 LTS (Focal Fossa)"
        }
    },
    "metricset": {
        "name": "index",
        "period": 10000
    },
    "service": {
        "address": "http://elastic-package-service-elasticsearch-1:9200",
        "type": "elasticsearch"
    }
}
**Exported fields**
Field Description Type Metric Type
@timestamp Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events. date
agent.id Unique identifier of this agent (if one exists). Example: For Beats this would be beat.id. keyword
cluster_uuid alias
data_stream.dataset Data stream dataset. constant_keyword
data_stream.namespace Data stream namespace. constant_keyword
data_stream.type Data stream type. constant_keyword
ecs.version ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices — which may conform to slightly different ECS versions — this field lets integrations adjust to the schema version of the events. keyword
elasticsearch.cluster.id Elasticsearch cluster id. keyword
elasticsearch.cluster.name Elasticsearch cluster name. keyword
elasticsearch.cluster.state.id Elasticsearch state id. keyword
elasticsearch.index.creation_date date
elasticsearch.index.hidden boolean
elasticsearch.index.name Index name. keyword
elasticsearch.index.primaries.docs.count long gauge
elasticsearch.index.primaries.docs.deleted long gauge
elasticsearch.index.primaries.indexing.index_time_in_millis long counter
elasticsearch.index.primaries.indexing.index_total long counter
elasticsearch.index.primaries.indexing.throttle_time_in_millis long counter
elasticsearch.index.primaries.merges.total_size_in_bytes long gauge
elasticsearch.index.primaries.query_cache.hit_count long counter
elasticsearch.index.primaries.query_cache.memory_size_in_bytes long gauge
elasticsearch.index.primaries.query_cache.miss_count long counter
elasticsearch.index.primaries.refresh.external_total_time_in_millis long counter
elasticsearch.index.primaries.refresh.total_time_in_millis long counter
elasticsearch.index.primaries.request_cache.evictions long counter
elasticsearch.index.primaries.request_cache.hit_count long counter
elasticsearch.index.primaries.request_cache.memory_size_in_bytes long gauge
elasticsearch.index.primaries.request_cache.miss_count long counter
elasticsearch.index.primaries.search.query_time_in_millis long counter
elasticsearch.index.primaries.search.query_total long counter
elasticsearch.index.primaries.segments.count long gauge
elasticsearch.index.primaries.segments.doc_values_memory_in_bytes long gauge
elasticsearch.index.primaries.segments.fixed_bit_set_memory_in_bytes long gauge
elasticsearch.index.primaries.segments.index_writer_memory_in_bytes long gauge
elasticsearch.index.primaries.segments.memory_in_bytes long gauge
elasticsearch.index.primaries.segments.norms_memory_in_bytes long gauge
elasticsearch.index.primaries.segments.points_memory_in_bytes long gauge
elasticsearch.index.primaries.segments.stored_fields_memory_in_bytes long gauge
elasticsearch.index.primaries.segments.term_vectors_memory_in_bytes long gauge
elasticsearch.index.primaries.segments.terms_memory_in_bytes long gauge
elasticsearch.index.primaries.segments.version_map_memory_in_bytes long gauge
elasticsearch.index.primaries.store.size_in_bytes long gauge
elasticsearch.index.primaries.store.total_data_set_size_in_bytes long gauge
elasticsearch.index.shards.primaries long
elasticsearch.index.shards.total long
elasticsearch.index.status keyword
elasticsearch.index.tier_preference keyword
elasticsearch.index.total.bulk.avg_size_in_bytes long gauge
elasticsearch.index.total.bulk.avg_time_in_millis long gauge
elasticsearch.index.total.bulk.total_operations long counter
elasticsearch.index.total.bulk.total_size_in_bytes long gauge
elasticsearch.index.total.bulk.total_time_in_millis long counter
elasticsearch.index.total.docs.count Total number of documents in the index. long gauge
elasticsearch.index.total.docs.deleted Total number of deleted documents in the index. long gauge
elasticsearch.index.total.fielddata.evictions long counter
elasticsearch.index.total.fielddata.memory_size_in_bytes long gauge
elasticsearch.index.total.indexing.index_time_in_millis long counter
elasticsearch.index.total.indexing.index_total long counter
elasticsearch.index.total.indexing.throttle_time_in_millis long counter
elasticsearch.index.total.merges.total_size_in_bytes long gauge
elasticsearch.index.total.query_cache.evictions long counter
elasticsearch.index.total.query_cache.hit_count long counter
elasticsearch.index.total.query_cache.memory_size_in_bytes long gauge
elasticsearch.index.total.query_cache.miss_count long counter
elasticsearch.index.total.refresh.external_total_time_in_millis long counter
elasticsearch.index.total.refresh.total_time_in_millis long counter
elasticsearch.index.total.request_cache.evictions long counter
elasticsearch.index.total.request_cache.hit_count long counter
elasticsearch.index.total.request_cache.memory_size_in_bytes long gauge
elasticsearch.index.total.request_cache.miss_count long counter
elasticsearch.index.total.search.query_time_in_millis long counter
elasticsearch.index.total.search.query_total long counter
elasticsearch.index.total.segments.count Total number of index segments. long gauge
elasticsearch.index.total.segments.doc_values_memory_in_bytes long gauge
elasticsearch.index.total.segments.fixed_bit_set_memory_in_bytes long gauge
elasticsearch.index.total.segments.index_writer_memory_in_bytes long gauge
elasticsearch.index.total.segments.memory.bytes Total number of memory used by the segments in bytes. long gauge
elasticsearch.index.total.segments.memory_in_bytes Total number of memory used by the segments in bytes. long gauge
elasticsearch.index.total.segments.norms_memory_in_bytes long gauge
elasticsearch.index.total.segments.points_memory_in_bytes long gauge
elasticsearch.index.total.segments.stored_fields_memory_in_bytes long gauge
elasticsearch.index.total.segments.term_vectors_memory_in_bytes long gauge
elasticsearch.index.total.segments.terms_memory_in_bytes long gauge
elasticsearch.index.total.segments.version_map_memory_in_bytes long gauge
elasticsearch.index.total.store.size.bytes long gauge
elasticsearch.index.total.store.size_in_bytes Total size of the index in bytes. long gauge
elasticsearch.index.uuid keyword
elasticsearch.index.version keyword
elasticsearch.node.id Node ID keyword
elasticsearch.node.master Is the node the master node? boolean
elasticsearch.node.mlockall Is mlockall enabled on the node? boolean
elasticsearch.node.name Node name. keyword
error.message Error message. match_only_text
event.dataset Name of the dataset. If an event source publishes more than one type of log or events (e.g. access log, error log), the dataset is used to specify which one the event comes from. It’s recommended but not required to start the dataset name with the module name, followed by a dot, then the dataset name. keyword
event.duration Duration of the event in nanoseconds. If event.start and event.end are known this value should be the difference between the end and start time. long
event.module Name of the module this data is coming from. If your monitoring agent supports the concept of modules or plugins to process events of a given source (e.g. Apache logs), event.module should contain the name of this module. keyword
host.name Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use. keyword
index_recovery.shards.start_time_in_millis alias
index_recovery.shards.stop_time_in_millis alias
index_stats.index alias
index_stats.primaries.docs.count alias
index_stats.primaries.indexing.index_time_in_millis alias
index_stats.primaries.indexing.index_total alias
index_stats.primaries.indexing.throttle_time_in_millis alias
index_stats.primaries.merges.total_size_in_bytes alias
index_stats.primaries.refresh.total_time_in_millis alias
index_stats.primaries.segments.count alias
index_stats.primaries.store.size_in_bytes alias
index_stats.total.fielddata.memory_size_in_bytes alias
index_stats.total.indexing.index_time_in_millis alias
index_stats.total.indexing.index_total alias
index_stats.total.indexing.throttle_time_in_millis alias
index_stats.total.merges.total_size_in_bytes alias
index_stats.total.query_cache.memory_size_in_bytes alias
index_stats.total.refresh.total_time_in_millis alias
index_stats.total.request_cache.memory_size_in_bytes alias
index_stats.total.search.query_time_in_millis alias
index_stats.total.search.query_total alias
index_stats.total.segments.count alias
index_stats.total.segments.doc_values_memory_in_bytes alias
index_stats.total.segments.fixed_bit_set_memory_in_bytes alias
index_stats.total.segments.index_writer_memory_in_bytes alias
index_stats.total.segments.memory_in_bytes alias
index_stats.total.segments.norms_memory_in_bytes alias
index_stats.total.segments.points_memory_in_bytes alias
index_stats.total.segments.stored_fields_memory_in_bytes alias
index_stats.total.segments.term_vectors_memory_in_bytes alias
index_stats.total.segments.terms_memory_in_bytes alias
index_stats.total.segments.version_map_memory_in_bytes alias
index_stats.total.store.size_in_bytes alias
indices_stats._all.primaries.indexing.index_time_in_millis alias
indices_stats._all.primaries.indexing.index_total alias
indices_stats._all.total.indexing.index_total alias
indices_stats._all.total.search.query_time_in_millis alias
indices_stats._all.total.search.query_total alias
service.address Service address keyword
service.name Name of the service data is collected from. The name of the service is normally user given. This allows for distributed services that run on multiple hosts to correlate the related instances based on the name. In the case of Elasticsearch the service.name could contain the cluster name. For Beats the service.name is by default a copy of the service.type field if no name is specified. keyword
service.type The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch. keyword
source_node.name alias
source_node.uuid alias
timestamp alias

By default only data about indices which are under active recovery are fetched. To gather data about all indices set active_only: false.

**Example**

An example event for index_recovery looks as following:

{
    "@timestamp": "2022-10-11T11:52:45.280Z",
    "agent": {
        "ephemeral_id": "7047b7d7-b0f6-412b-a884-19c38671acf5",
        "id": "79e48fe3-2ecd-4021-aed5-6e7e69d47606",
        "name": "docker-fleet-agent",
        "type": "metricbeat",
        "version": "8.5.0"
    },
    "data_stream": {
        "dataset": "elasticsearch.stack_monitoring.index_recovery",
        "namespace": "ep",
        "type": "metrics"
    },
    "ecs": {
        "version": "8.0.0"
    },
    "elastic_agent": {
        "id": "79e48fe3-2ecd-4021-aed5-6e7e69d47606",
        "snapshot": true,
        "version": "8.5.0"
    },
    "elasticsearch": {
        "cluster": {
            "id": "5-S01HJrSLyI2D9Bfsqkxg",
            "name": "elasticsearch"
        },
        "index": {
            "name": "test_2",
            "recovery": {
                "id": 0,
                "index": {
                    "files": {
                        "percent": "0.0%",
                        "recovered": 0,
                        "reused": 0,
                        "total": 0
                    },
                    "size": {
                        "recovered_in_bytes": 0,
                        "reused_in_bytes": 0,
                        "total_in_bytes": 0
                    }
                },
                "name": "test_2",
                "primary": true,
                "source": {},
                "stage": "DONE",
                "start_time": {
                    "ms": 1665489151996
                },
                "stop_time": {
                    "ms": 1665489152026
                },
                "total_time": {
                    "ms": 30
                },
                "target": {
                    "host": "127.0.0.1",
                    "id": "lVVKbuXvSs2koSpkreME3w",
                    "name": "c82dbd707c75",
                    "transport_address": "127.0.0.1:9300"
                },
                "translog": {
                    "percent": "100.0%",
                    "total": 0,
                    "total_on_start": 0
                },
                "type": "EMPTY_STORE"
            }
        }
    },
    "event": {
        "agent_id_status": "verified",
        "dataset": "elasticsearch.stack_monitoring.index_recovery",
        "duration": 70728584,
        "ingested": "2022-10-11T11:52:46Z",
        "module": "elasticsearch"
    },
    "host": {
        "architecture": "x86_64",
        "containerized": false,
        "hostname": "docker-fleet-agent",
        "id": "b6bc6723e51b43959ce07f0c3105c72d",
        "ip": [
            "192.168.0.7"
        ],
        "mac": [
            "02-42-C0-A8-00-07"
        ],
        "name": "docker-fleet-agent",
        "os": {
            "codename": "focal",
            "family": "debian",
            "kernel": "5.10.124-linuxkit",
            "name": "Ubuntu",
            "platform": "ubuntu",
            "type": "linux",
            "version": "20.04.5 LTS (Focal Fossa)"
        }
    },
    "metricset": {
        "name": "index_recovery",
        "period": 10000
    },
    "service": {
        "address": "http://elastic-package-service-elasticsearch-1:9200",
        "name": "elasticsearch",
        "type": "elasticsearch"
    }
}
**Exported fields**
Field Description Type Metric Type
@timestamp Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events. date
agent.id Unique identifier of this agent (if one exists). Example: For Beats this would be beat.id. keyword
cluster_uuid alias
data_stream.dataset Data stream dataset. constant_keyword
data_stream.namespace Data stream namespace. constant_keyword
data_stream.type Data stream type. constant_keyword
ecs.version ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices — which may conform to slightly different ECS versions — this field lets integrations adjust to the schema version of the events. keyword
elasticsearch.cluster.id Elasticsearch cluster id. keyword
elasticsearch.cluster.name Elasticsearch cluster name. keyword
elasticsearch.cluster.state.id Elasticsearch state id. keyword
elasticsearch.index.name keyword
elasticsearch.index.recovery.id Shard recovery id. long
elasticsearch.index.recovery.index.files.percent keyword
elasticsearch.index.recovery.index.files.recovered long gauge
elasticsearch.index.recovery.index.files.reused long gauge
elasticsearch.index.recovery.index.files.total long gauge
elasticsearch.index.recovery.index.size.recovered_in_bytes long gauge
elasticsearch.index.recovery.index.size.reused_in_bytes long gauge
elasticsearch.index.recovery.index.size.total_in_bytes long gauge
elasticsearch.index.recovery.name keyword
elasticsearch.index.recovery.primary True if primary shard. boolean
elasticsearch.index.recovery.source.host Source node host address (could be IP address or hostname). keyword
elasticsearch.index.recovery.source.id Source node id. keyword
elasticsearch.index.recovery.source.name Source node name. keyword
elasticsearch.index.recovery.source.transport_address keyword
elasticsearch.index.recovery.stage Recovery stage. keyword
elasticsearch.index.recovery.start_time.ms long gauge
elasticsearch.index.recovery.stop_time.ms long gauge
elasticsearch.index.recovery.target.host Target node host address (could be IP address or hostname). keyword
elasticsearch.index.recovery.target.id Target node id. keyword
elasticsearch.index.recovery.target.name Target node name. keyword
elasticsearch.index.recovery.target.transport_address keyword
elasticsearch.index.recovery.total_time.ms long gauge
elasticsearch.index.recovery.translog.percent keyword
elasticsearch.index.recovery.translog.total long gauge
elasticsearch.index.recovery.translog.total_on_start long gauge
elasticsearch.index.recovery.type Shard recovery type. keyword
elasticsearch.index.recovery.verify_index.check_index_time.ms long gauge
elasticsearch.index.recovery.verify_index.total_time.ms long gauge
elasticsearch.node.id Node ID keyword
elasticsearch.node.master Is the node the master node? boolean
elasticsearch.node.mlockall Is mlockall enabled on the node? boolean
elasticsearch.node.name Node name. keyword
error.message Error message. match_only_text
event.dataset Name of the dataset. If an event source publishes more than one type of log or events (e.g. access log, error log), the dataset is used to specify which one the event comes from. It’s recommended but not required to start the dataset name with the module name, followed by a dot, then the dataset name. keyword
event.duration Duration of the event in nanoseconds. If event.start and event.end are known this value should be the difference between the end and start time. long
event.module Name of the module this data is coming from. If your monitoring agent supports the concept of modules or plugins to process events of a given source (e.g. Apache logs), event.module should contain the name of this module. keyword
host.name Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use. keyword
index_recovery.shards.start_time_in_millis alias
index_recovery.shards.stop_time_in_millis alias
index_recovery.shards.total_time_in_millis alias
service.address Service address keyword
service.name Name of the service data is collected from. The name of the service is normally user given. This allows for distributed services that run on multiple hosts to correlate the related instances based on the name. In the case of Elasticsearch the service.name could contain the cluster name. For Beats the service.name is by default a copy of the service.type field if no name is specified. keyword
service.type The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch. keyword
source_node.name alias
source_node.uuid alias
timestamp alias
**Example**

An example event for index_summary looks as following:

{
    "@timestamp": "2022-10-11T11:54:00.424Z",
    "agent": {
        "ephemeral_id": "7047b7d7-b0f6-412b-a884-19c38671acf5",
        "id": "79e48fe3-2ecd-4021-aed5-6e7e69d47606",
        "name": "docker-fleet-agent",
        "type": "metricbeat",
        "version": "8.5.0"
    },
    "data_stream": {
        "dataset": "elasticsearch.stack_monitoring.index_summary",
        "namespace": "ep",
        "type": "metrics"
    },
    "ecs": {
        "version": "8.0.0"
    },
    "elastic_agent": {
        "id": "79e48fe3-2ecd-4021-aed5-6e7e69d47606",
        "snapshot": true,
        "version": "8.5.0"
    },
    "elasticsearch": {
        "cluster": {
            "id": "KE1I01h1Qci2TZwKI8uhPQ",
            "name": "elasticsearch"
        },
        "index": {
            "summary": {
                "primaries": {
                    "bulk": {
                        "operations": {
                            "count": 2
                        },
                        "size": {
                            "bytes": 30
                        },
                        "time": {
                            "avg": {
                                "bytes": 2
                            }
                        }
                    },
                    "docs": {
                        "count": 2,
                        "deleted": 0
                    },
                    "indexing": {
                        "index": {
                            "count": 2,
                            "time": {
                                "ms": 3
                            }
                        }
                    },
                    "search": {
                        "query": {
                            "count": 6,
                            "time": {
                                "ms": 2
                            }
                        }
                    },
                    "segments": {
                        "count": 2,
                        "memory": {
                            "bytes": 0
                        }
                    },
                    "store": {
                        "size": {
                            "bytes": 10059
                        }
                    }
                },
                "total": {
                    "bulk": {
                        "operations": {
                            "count": 2
                        },
                        "size": {
                            "bytes": 30
                        },
                        "time": {
                            "avg": {
                                "bytes": 2
                            }
                        }
                    },
                    "docs": {
                        "count": 2,
                        "deleted": 0
                    },
                    "indexing": {
                        "index": {
                            "count": 2,
                            "time": {
                                "ms": 3
                            }
                        }
                    },
                    "search": {
                        "query": {
                            "count": 6,
                            "time": {
                                "ms": 2
                            }
                        }
                    },
                    "segments": {
                        "count": 2,
                        "memory": {
                            "bytes": 0
                        }
                    },
                    "store": {
                        "size": {
                            "bytes": 10059
                        }
                    }
                }
            }
        }
    },
    "event": {
        "agent_id_status": "verified",
        "dataset": "elasticsearch.stack_monitoring.index_summary",
        "duration": 89177084,
        "ingested": "2022-10-11T11:54:01Z",
        "module": "elasticsearch"
    },
    "host": {
        "architecture": "x86_64",
        "containerized": false,
        "hostname": "docker-fleet-agent",
        "id": "b6bc6723e51b43959ce07f0c3105c72d",
        "ip": [
            "192.168.0.7"
        ],
        "mac": [
            "02-42-C0-A8-00-07"
        ],
        "name": "docker-fleet-agent",
        "os": {
            "codename": "focal",
            "family": "debian",
            "kernel": "5.10.124-linuxkit",
            "name": "Ubuntu",
            "platform": "ubuntu",
            "type": "linux",
            "version": "20.04.5 LTS (Focal Fossa)"
        }
    },
    "metricset": {
        "name": "index_summary",
        "period": 10000
    },
    "service": {
        "address": "http://elastic-package-service-elasticsearch-1:9200",
        "name": "elasticsearch",
        "type": "elasticsearch"
    }
}
**Exported fields**
Field Description Type Metric Type
@timestamp Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events. date
agent.id Unique identifier of this agent (if one exists). Example: For Beats this would be beat.id. keyword
cluster_uuid alias
data_stream.dataset Data stream dataset. constant_keyword
data_stream.namespace Data stream namespace. constant_keyword
data_stream.type Data stream type. constant_keyword
ecs.version ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices — which may conform to slightly different ECS versions — this field lets integrations adjust to the schema version of the events. keyword
elasticsearch.cluster.id Elasticsearch cluster id. keyword
elasticsearch.cluster.name Elasticsearch cluster name. keyword
elasticsearch.cluster.state.id Elasticsearch state id. keyword
elasticsearch.index.summary.primaries.bulk.operations.count long gauge
elasticsearch.index.summary.primaries.bulk.size.bytes long gauge
elasticsearch.index.summary.primaries.bulk.time.avg.bytes long gauge
elasticsearch.index.summary.primaries.bulk.time.avg.ms long gauge
elasticsearch.index.summary.primaries.bulk.time.count.ms long counter
elasticsearch.index.summary.primaries.docs.count Total number of documents in the index. long gauge
elasticsearch.index.summary.primaries.docs.deleted Total number of deleted documents in the index. long gauge
elasticsearch.index.summary.primaries.indexing.index.count long gauge
elasticsearch.index.summary.primaries.indexing.index.time.ms long gauge
elasticsearch.index.summary.primaries.search.query.count long counter
elasticsearch.index.summary.primaries.search.query.time.ms long counter
elasticsearch.index.summary.primaries.segments.count Total number of index segments. long gauge
elasticsearch.index.summary.primaries.segments.memory.bytes Total number of memory used by the segments in bytes. long gauge
elasticsearch.index.summary.primaries.store.size.bytes Total size of the index in bytes. long gauge
elasticsearch.index.summary.primaries.store.total_data_set_size.bytes Total size of the index in bytes including backing data for partially mounted indices. long gauge
elasticsearch.index.summary.total.bulk.operations.count long gauge
elasticsearch.index.summary.total.bulk.size.bytes long gauge
elasticsearch.index.summary.total.bulk.time.avg.bytes long gauge
elasticsearch.index.summary.total.bulk.time.avg.ms long gauge
elasticsearch.index.summary.total.docs.count Total number of documents in the index. long gauge
elasticsearch.index.summary.total.docs.deleted Total number of deleted documents in the index. long gauge
elasticsearch.index.summary.total.indexing.index.count long gauge
elasticsearch.index.summary.total.indexing.index.time.ms long gauge
elasticsearch.index.summary.total.indexing.is_throttled boolean
elasticsearch.index.summary.total.indexing.throttle_time.ms long gauge
elasticsearch.index.summary.total.search.query.count long counter
elasticsearch.index.summary.total.search.query.time.ms long counter
elasticsearch.index.summary.total.segments.count Total number of index segments. long gauge
elasticsearch.index.summary.total.segments.memory.bytes Total number of memory used by the segments in bytes. long gauge
elasticsearch.index.summary.total.store.size.bytes Total size of the index in bytes. long gauge
elasticsearch.index.summary.total.store.total_data_set_size.bytes Total size of the index in bytes including backing data for partially mounted indices. long gauge
elasticsearch.node.id Node ID keyword
elasticsearch.node.master Is the node the master node? boolean
elasticsearch.node.mlockall Is mlockall enabled on the node? boolean
elasticsearch.node.name Node name. keyword
error.message Error message. match_only_text
event.dataset Name of the dataset. If an event source publishes more than one type of log or events (e.g. access log, error log), the dataset is used to specify which one the event comes from. It’s recommended but not required to start the dataset name with the module name, followed by a dot, then the dataset name. keyword
event.duration Duration of the event in nanoseconds. If event.start and event.end are known this value should be the difference between the end and start time. long
event.module Name of the module this data is coming from. If your monitoring agent supports the concept of modules or plugins to process events of a given source (e.g. Apache logs), event.module should contain the name of this module. keyword
host.name Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use. keyword
indices_stats._all.primaries.indexing.index_time_in_millis alias
indices_stats._all.primaries.indexing.index_total alias
indices_stats._all.total.indexing.index_total alias
indices_stats._all.total.search.query_time_in_millis alias
indices_stats._all.total.search.query_total alias
service.address Service address keyword
service.name Name of the service data is collected from. The name of the service is normally user given. This allows for distributed services that run on multiple hosts to correlate the related instances based on the name. In the case of Elasticsearch the service.name could contain the cluster name. For Beats the service.name is by default a copy of the service.type field if no name is specified. keyword
service.type The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch. keyword
source_node.name alias
source_node.uuid alias
timestamp alias

If you have Machine Learning jobs, this data stream will interrogate the Machine Learning Anomaly Detection API and requires Machine Learning to be enabled.

**Example**

An example event for ml_job looks as following:

{
    "@timestamp": "2022-10-11T11:55:13.602Z",
    "agent": {
        "ephemeral_id": "7047b7d7-b0f6-412b-a884-19c38671acf5",
        "id": "79e48fe3-2ecd-4021-aed5-6e7e69d47606",
        "name": "docker-fleet-agent",
        "type": "metricbeat",
        "version": "8.5.0"
    },
    "data_stream": {
        "dataset": "elasticsearch.stack_monitoring.ml_job",
        "namespace": "ep",
        "type": "metrics"
    },
    "ecs": {
        "version": "8.0.0"
    },
    "elastic_agent": {
        "id": "79e48fe3-2ecd-4021-aed5-6e7e69d47606",
        "snapshot": true,
        "version": "8.5.0"
    },
    "elasticsearch": {
        "cluster": {
            "id": "qRprxEWySBqONwPW_2ga6Q",
            "name": "elasticsearch"
        },
        "ml": {
            "job": {
                "data_counts": {
                    "invalid_date_count": 0,
                    "processed_record_count": 0
                },
                "forecasts_stats": {
                    "total": 0
                },
                "id": "test-job1",
                "model_size": {
                    "memory_status": "ok"
                },
                "state": "opened"
            }
        },
        "node": {
            "id": "2eRkSFTXSLie_seiHf4Y1A",
            "name": "efacd89a6e88"
        }
    },
    "event": {
        "agent_id_status": "verified",
        "dataset": "elasticsearch.stack_monitoring.ml_job",
        "duration": 93589542,
        "ingested": "2022-10-11T11:55:14Z",
        "module": "elasticsearch"
    },
    "host": {
        "architecture": "x86_64",
        "containerized": false,
        "hostname": "docker-fleet-agent",
        "id": "b6bc6723e51b43959ce07f0c3105c72d",
        "ip": [
            "192.168.0.7"
        ],
        "mac": [
            "02-42-C0-A8-00-07"
        ],
        "name": "docker-fleet-agent",
        "os": {
            "codename": "focal",
            "family": "debian",
            "kernel": "5.10.124-linuxkit",
            "name": "Ubuntu",
            "platform": "ubuntu",
            "type": "linux",
            "version": "20.04.5 LTS (Focal Fossa)"
        }
    },
    "metricset": {
        "name": "ml_job",
        "period": 10000
    },
    "service": {
        "address": "http://elastic-package-service-elasticsearch-1:9200",
        "name": "elasticsearch",
        "type": "elasticsearch"
    }
}
**Exported fields**
Field Description Type Metric Type
@timestamp Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events. date
agent.id Unique identifier of this agent (if one exists). Example: For Beats this would be beat.id. keyword
cluster_uuid alias
data_stream.dataset Data stream dataset. constant_keyword
data_stream.namespace Data stream namespace. constant_keyword
data_stream.type Data stream type. constant_keyword
ecs.version ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices — which may conform to slightly different ECS versions — this field lets integrations adjust to the schema version of the events. keyword
elasticsearch.cluster.id Elasticsearch cluster id. keyword
elasticsearch.cluster.name Elasticsearch cluster name. keyword
elasticsearch.cluster.state.id Elasticsearch state id. keyword
elasticsearch.ml.job.data.invalid_date.count The number of records with either a missing date field or a date that could not be parsed. long gauge
elasticsearch.ml.job.data_counts.invalid_date_count long gauge
elasticsearch.ml.job.data_counts.processed_record_count Processed data events. long gauge
elasticsearch.ml.job.forecasts_stats.total long gauge
elasticsearch.ml.job.id Unique ml job id. keyword
elasticsearch.ml.job.model_size.memory_status keyword
elasticsearch.ml.job.state Job state. keyword
elasticsearch.node.id Node ID keyword
elasticsearch.node.master Is the node the master node? boolean
elasticsearch.node.mlockall Is mlockall enabled on the node? boolean
elasticsearch.node.name Node name. keyword
error.message Error message. match_only_text
event.dataset Name of the dataset. If an event source publishes more than one type of log or events (e.g. access log, error log), the dataset is used to specify which one the event comes from. It’s recommended but not required to start the dataset name with the module name, followed by a dot, then the dataset name. keyword
event.duration Duration of the event in nanoseconds. If event.start and event.end are known this value should be the difference between the end and start time. long
event.module Name of the module this data is coming from. If your monitoring agent supports the concept of modules or plugins to process events of a given source (e.g. Apache logs), event.module should contain the name of this module. keyword
host.name Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use. keyword
job_stats.forecasts_stats.total alias
job_stats.job_id alias
service.address Service address keyword
service.name Name of the service data is collected from. The name of the service is normally user given. This allows for distributed services that run on multiple hosts to correlate the related instances based on the name. In the case of Elasticsearch the service.name could contain the cluster name. For Beats the service.name is by default a copy of the service.type field if no name is specified. keyword
service.type The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch. keyword
source_node.name alias
source_node.uuid alias
timestamp alias

node interrogates the Cluster API endpoint of Elasticsearch to get cluster nodes information. It only fetches the data from the _local node so it must run on each Elasticsearch node.

**Example**

An example event for node looks as following:

{
    "@timestamp": "2022-10-11T11:56:26.591Z",
    "agent": {
        "ephemeral_id": "7047b7d7-b0f6-412b-a884-19c38671acf5",
        "id": "79e48fe3-2ecd-4021-aed5-6e7e69d47606",
        "name": "docker-fleet-agent",
        "type": "metricbeat",
        "version": "8.5.0"
    },
    "data_stream": {
        "dataset": "elasticsearch.stack_monitoring.node",
        "namespace": "ep",
        "type": "metrics"
    },
    "ecs": {
        "version": "8.0.0"
    },
    "elastic_agent": {
        "id": "79e48fe3-2ecd-4021-aed5-6e7e69d47606",
        "snapshot": true,
        "version": "8.5.0"
    },
    "elasticsearch": {
        "cluster": {
            "id": "dww9JUOzQyS8iokOwczS9Q",
            "name": "elasticsearch"
        },
        "node": {
            "id": "8IzM7B10S7yuldzLETfv0w",
            "jvm": {
                "memory": {
                    "heap": {
                        "init": {
                            "bytes": 1073741824
                        },
                        "max": {
                            "bytes": 1073741824
                        }
                    },
                    "nonheap": {
                        "init": {
                            "bytes": 7667712
                        },
                        "max": {
                            "bytes": 0
                        }
                    }
                },
                "version": "18.0.2.1"
            },
            "name": "d07bc5926662",
            "process": {
                "mlockall": false
            },
            "version": "8.5.0"
        }
    },
    "event": {
        "agent_id_status": "verified",
        "dataset": "elasticsearch.stack_monitoring.node",
        "duration": 63219000,
        "ingested": "2022-10-11T11:56:27Z",
        "module": "elasticsearch"
    },
    "host": {
        "architecture": "x86_64",
        "containerized": false,
        "hostname": "docker-fleet-agent",
        "id": "b6bc6723e51b43959ce07f0c3105c72d",
        "ip": [
            "192.168.0.7"
        ],
        "mac": [
            "02-42-C0-A8-00-07"
        ],
        "name": "docker-fleet-agent",
        "os": {
            "codename": "focal",
            "family": "debian",
            "kernel": "5.10.124-linuxkit",
            "name": "Ubuntu",
            "platform": "ubuntu",
            "type": "linux",
            "version": "20.04.5 LTS (Focal Fossa)"
        }
    },
    "metricset": {
        "name": "node",
        "period": 10000
    },
    "service": {
        "address": "http://elastic-package-service-elasticsearch-1:9200",
        "name": "elasticsearch",
        "type": "elasticsearch"
    }
}
**Exported fields**
Field Description Type Metric Type
@timestamp Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events. date
agent.id Unique identifier of this agent (if one exists). Example: For Beats this would be beat.id. keyword
cluster_uuid alias
data_stream.dataset Data stream dataset. constant_keyword
data_stream.namespace Data stream namespace. constant_keyword
data_stream.type Data stream type. constant_keyword
ecs.version ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices — which may conform to slightly different ECS versions — this field lets integrations adjust to the schema version of the events. keyword
elasticsearch.cluster.id Elasticsearch cluster id. keyword
elasticsearch.cluster.name Elasticsearch cluster name. keyword
elasticsearch.cluster.state.id Elasticsearch state id. keyword
elasticsearch.node.id Node ID keyword
elasticsearch.node.jvm.memory.heap.init.bytes Heap init used by the JVM in bytes. long gauge
elasticsearch.node.jvm.memory.heap.max.bytes Heap max used by the JVM in bytes. long gauge
elasticsearch.node.jvm.memory.nonheap.init.bytes Non-Heap init used by the JVM in bytes. long gauge
elasticsearch.node.jvm.memory.nonheap.max.bytes Non-Heap max used by the JVM in bytes. long gauge
elasticsearch.node.jvm.version JVM version. keyword
elasticsearch.node.master Is the node the master node? boolean
elasticsearch.node.mlockall Is mlockall enabled on the node? boolean
elasticsearch.node.name Node name. keyword
elasticsearch.node.process.mlockall If process locked in memory. boolean
elasticsearch.node.version Node version. keyword
error.message Error message. match_only_text
event.dataset Name of the dataset. If an event source publishes more than one type of log or events (e.g. access log, error log), the dataset is used to specify which one the event comes from. It’s recommended but not required to start the dataset name with the module name, followed by a dot, then the dataset name. keyword
event.duration Duration of the event in nanoseconds. If event.start and event.end are known this value should be the difference between the end and start time. long
event.module Name of the module this data is coming from. If your monitoring agent supports the concept of modules or plugins to process events of a given source (e.g. Apache logs), event.module should contain the name of this module. keyword
host.name Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use. keyword
service.address Service address keyword
service.name Name of the service data is collected from. The name of the service is normally user given. This allows for distributed services that run on multiple hosts to correlate the related instances based on the name. In the case of Elasticsearch the service.name could contain the cluster name. For Beats the service.name is by default a copy of the service.type field if no name is specified. keyword
service.type The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch. keyword
source_node.name alias
source_node.uuid alias
timestamp alias

node_stats interrogates the Cluster API endpoint of Elasticsearch to get the cluster nodes statistics. The data received is only for the local node so the Agent has to be run on each Elasticsearch node.

Note

The indices stats are node-specific. That means for example the total number of docs reported by all nodes together is not the total number of documents in all indices as there can also be replicas.

**Example**

An example event for node_stats looks as following:

{
    "@timestamp": "2023-03-31T16:04:42.359Z",
    "agent": {
        "ephemeral_id": "1a9923cc-6cfb-4e24-af90-4dadc280ce65",
        "id": "91796116-33d0-4b72-a8dc-6f878fc9c156",
        "name": "docker-fleet-agent",
        "type": "metricbeat",
        "version": "8.8.0"
    },
    "data_stream": {
        "dataset": "elasticsearch.stack_monitoring.node_stats",
        "namespace": "ep",
        "type": "metrics"
    },
    "ecs": {
        "version": "8.0.0"
    },
    "elastic_agent": {
        "id": "91796116-33d0-4b72-a8dc-6f878fc9c156",
        "snapshot": true,
        "version": "8.8.0"
    },
    "elasticsearch": {
        "cluster": {
            "id": "Ipm1WsqqRB6oapcw_SS2Eg",
            "name": "elasticsearch"
        },
        "node": {
            "id": "gdgi4QNVQ_-dHq9HLnRlQA",
            "master": true,
            "mlockall": false,
            "name": "04ab345e3ac8",
            "roles": [
                "data",
                "data_cold",
                "data_content",
                "data_frozen",
                "data_hot",
                "data_warm",
                "ingest",
                "master",
                "ml",
                "remote_cluster_client",
                "transform"
            ],
            "stats": {
                "fs": {
                    "io_stats": {},
                    "summary": {
                        "available": {
                            "bytes": 39146156032
                        },
                        "free": {
                            "bytes": 42362871808
                        },
                        "total": {
                            "bytes": 62671097856
                        }
                    },
                    "total": {
                        "available_in_bytes": 39146156032,
                        "total_in_bytes": 62671097856
                    }
                },
                "indexing_pressure": {
                    "memory": {
                        "current": {
                            "all": {
                                "bytes": 0
                            },
                            "combined_coordinating_and_primary": {
                                "bytes": 0
                            },
                            "coordinating": {
                                "bytes": 0
                            },
                            "primary": {
                                "bytes": 0
                            },
                            "replica": {
                                "bytes": 0
                            }
                        },
                        "limit_in_bytes": 107374182,
                        "total": {
                            "all": {
                                "bytes": 20484
                            },
                            "combined_coordinating_and_primary": {
                                "bytes": 20484
                            },
                            "coordinating": {
                                "bytes": 20484,
                                "rejections": 0
                            },
                            "primary": {
                                "bytes": 27900,
                                "rejections": 0
                            },
                            "replica": {
                                "bytes": 0,
                                "rejections": 0
                            }
                        }
                    }
                },
                "indices": {
                    "bulk": {
                        "avg_size": {
                            "bytes": 92
                        },
                        "avg_time": {
                            "ms": 0
                        },
                        "operations": {
                            "total": {
                                "count": 29
                            }
                        },
                        "total_size": {
                            "bytes": 10684
                        },
                        "total_time": {
                            "ms": 131
                        }
                    },
                    "docs": {
                        "count": 38,
                        "deleted": 1
                    },
                    "fielddata": {
                        "memory": {
                            "bytes": 0
                        }
                    },
                    "indexing": {
                        "index_time": {
                            "ms": 43
                        },
                        "index_total": {
                            "count": 67
                        },
                        "throttle_time": {
                            "ms": 0
                        }
                    },
                    "query_cache": {
                        "memory": {
                            "bytes": 0
                        }
                    },
                    "request_cache": {
                        "memory": {
                            "bytes": 0
                        }
                    },
                    "search": {
                        "query_time": {
                            "ms": 18
                        },
                        "query_total": {
                            "count": 40
                        }
                    },
                    "segments": {
                        "count": 20,
                        "doc_values": {
                            "memory": {
                                "bytes": 0
                            }
                        },
                        "fixed_bit_set": {
                            "memory": {
                                "bytes": 144
                            }
                        },
                        "index_writer": {
                            "memory": {
                                "bytes": 124320
                            }
                        },
                        "memory": {
                            "bytes": 0
                        },
                        "norms": {
                            "memory": {
                                "bytes": 0
                            }
                        },
                        "points": {
                            "memory": {
                                "bytes": 0
                            }
                        },
                        "stored_fields": {
                            "memory": {
                                "bytes": 0
                            }
                        },
                        "term_vectors": {
                            "memory": {
                                "bytes": 0
                            }
                        },
                        "terms": {
                            "memory": {
                                "bytes": 0
                            }
                        },
                        "version_map": {
                            "memory": {
                                "bytes": 0
                            }
                        }
                    },
                    "store": {
                        "size": {
                            "bytes": 138577
                        }
                    }
                },
                "ingest": {
                    "total": {
                        "count": 40,
                        "current": 0,
                        "failed": 0,
                        "time_in_millis": 4
                    }
                },
                "jvm": {
                    "gc": {
                        "collectors": {
                            "old": {
                                "collection": {
                                    "count": 0,
                                    "ms": 0
                                }
                            },
                            "young": {
                                "collection": {
                                    "count": 9,
                                    "ms": 84
                                }
                            }
                        }
                    },
                    "mem": {
                        "heap": {
                            "max": {
                                "bytes": 1073741824
                            },
                            "used": {
                                "bytes": 198002688,
                                "pct": 18
                            }
                        }
                    }
                },
                "os": {
                    "cgroup": {
                        "cpu": {
                            "cfs": {
                                "quota": {
                                    "us": -1
                                }
                            },
                            "stat": {
                                "elapsed_periods": {
                                    "count": 0
                                },
                                "time_throttled": {
                                    "ns": 0
                                },
                                "times_throttled": {
                                    "count": 0
                                }
                            }
                        },
                        "cpuacct": {
                            "usage": {
                                "ns": 32594735
                            }
                        },
                        "memory": {
                            "control_group": "/",
                            "limit": {
                                "bytes": "max"
                            },
                            "usage": {
                                "bytes": "1505935360"
                            }
                        }
                    },
                    "cpu": {
                        "load_avg": {
                            "1m": 1.13
                        }
                    }
                },
                "process": {
                    "cpu": {
                        "pct": 1
                    }
                },
                "thread_pool": {
                    "force_merge": {
                        "queue": {
                            "count": 0
                        },
                        "rejected": {
                            "count": 0
                        }
                    },
                    "get": {
                        "queue": {
                            "count": 0
                        },
                        "rejected": {
                            "count": 0
                        }
                    },
                    "search": {
                        "queue": {
                            "count": 0
                        },
                        "rejected": {
                            "count": 0
                        }
                    },
                    "write": {
                        "queue": {
                            "count": 0
                        },
                        "rejected": {
                            "count": 0
                        }
                    }
                }
            }
        }
    },
    "event": {
        "agent_id_status": "verified",
        "dataset": "elasticsearch.stack_monitoring.node_stats",
        "duration": 135773209,
        "ingested": "2023-03-31T16:04:43Z",
        "module": "elasticsearch"
    },
    "host": {
        "architecture": "x86_64",
        "containerized": false,
        "hostname": "docker-fleet-agent",
        "id": "2b5a4ccc72da470e945cff8960ca6475",
        "ip": [
            "172.31.0.4"
        ],
        "mac": [
            "02-42-AC-1F-00-04"
        ],
        "name": "docker-fleet-agent",
        "os": {
            "codename": "focal",
            "family": "debian",
            "kernel": "5.15.49-linuxkit",
            "name": "Ubuntu",
            "platform": "ubuntu",
            "type": "linux",
            "version": "20.04.5 LTS (Focal Fossa)"
        }
    },
    "metricset": {
        "name": "node_stats",
        "period": 10000
    },
    "service": {
        "address": "http://elastic-package-service_elasticsearch_1:9200",
        "name": "elasticsearch",
        "type": "elasticsearch"
    }
}
**Exported fields**
Field Description Type Metric Type
@timestamp Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events. date
agent.id Unique identifier of this agent (if one exists). Example: For Beats this would be beat.id. keyword
cluster_uuid alias
data_stream.dataset Data stream dataset. constant_keyword
data_stream.namespace Data stream namespace. constant_keyword
data_stream.type Data stream type. constant_keyword
ecs.version ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices — which may conform to slightly different ECS versions — this field lets integrations adjust to the schema version of the events. keyword
elasticsearch.cluster.id Elasticsearch cluster id. keyword
elasticsearch.cluster.name Elasticsearch cluster name. keyword
elasticsearch.cluster.state.id Elasticsearch state id. keyword
elasticsearch.node.id Node ID keyword
elasticsearch.node.master Is the node the master node? boolean
elasticsearch.node.mlockall Is mlockall enabled on the node? boolean
elasticsearch.node.name Node name. keyword
elasticsearch.node.roles Node roles keyword
elasticsearch.node.stats.fs.io_stats.total.operations.count long counter
elasticsearch.node.stats.fs.io_stats.total.read.operations.count long counter
elasticsearch.node.stats.fs.io_stats.total.write.operations.count long counter
elasticsearch.node.stats.fs.summary.available.bytes long gauge
elasticsearch.node.stats.fs.summary.free.bytes long gauge
elasticsearch.node.stats.fs.summary.total.bytes long gauge
elasticsearch.node.stats.fs.total.available_in_bytes long gauge
elasticsearch.node.stats.fs.total.total_in_bytes long gauge
elasticsearch.node.stats.indexing_pressure.memory.current.all.bytes long gauge
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elasticsearch.node.stats.os.cgroup.memory.control_group keyword
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error.message Error message. match_only_text
event.dataset Name of the dataset. If an event source publishes more than one type of log or events (e.g. access log, error log), the dataset is used to specify which one the event comes from. It’s recommended but not required to start the dataset name with the module name, followed by a dot, then the dataset name. keyword
event.duration Duration of the event in nanoseconds. If event.start and event.end are known this value should be the difference between the end and start time. long
event.module Name of the module this data is coming from. If your monitoring agent supports the concept of modules or plugins to process events of a given source (e.g. Apache logs), event.module should contain the name of this module. keyword
host.name Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use. keyword
node_stats.fs.io_stats.total.operations alias
node_stats.fs.io_stats.total.read_operations alias
node_stats.fs.io_stats.total.write_operations alias
node_stats.fs.summary.available.bytes alias
node_stats.fs.summary.total.bytes alias
node_stats.fs.total.available_in_bytes alias
node_stats.fs.total.total_in_bytes alias
node_stats.indices.docs.count alias
node_stats.indices.fielddata.memory_size_in_bytes alias
node_stats.indices.indexing.index_time_in_millis alias
node_stats.indices.indexing.index_total alias
node_stats.indices.indexing.throttle_time_in_millis alias
node_stats.indices.query_cache.memory_size_in_bytes alias
node_stats.indices.request_cache.memory_size_in_bytes alias
node_stats.indices.search.query_time_in_millis alias
node_stats.indices.search.query_total alias
node_stats.indices.segments.count alias
node_stats.indices.segments.doc_values_memory_in_bytes alias
node_stats.indices.segments.fixed_bit_set_memory_in_bytes alias
node_stats.indices.segments.index_writer_memory_in_bytes alias
node_stats.indices.segments.memory_in_bytes alias
node_stats.indices.segments.norms_memory_in_bytes alias
node_stats.indices.segments.points_memory_in_bytes alias
node_stats.indices.segments.stored_fields_memory_in_bytes alias
node_stats.indices.segments.term_vectors_memory_in_bytes alias
node_stats.indices.segments.terms_memory_in_bytes alias
node_stats.indices.segments.version_map_memory_in_bytes alias
node_stats.indices.store.size.bytes alias
node_stats.indices.store.size_in_bytes alias
node_stats.jvm.gc.collectors.old.collection_count alias
node_stats.jvm.gc.collectors.old.collection_time_in_millis alias
node_stats.jvm.gc.collectors.young.collection_count alias
node_stats.jvm.gc.collectors.young.collection_time_in_millis alias
node_stats.jvm.mem.heap_max_in_bytes alias
node_stats.jvm.mem.heap_used_in_bytes alias
node_stats.jvm.mem.heap_used_percent alias
node_stats.node_id alias
node_stats.os.cgroup.cpu.cfs_quota_micros alias
node_stats.os.cgroup.cpu.stat.number_of_elapsed_periods alias
node_stats.os.cgroup.cpu.stat.number_of_times_throttled alias
node_stats.os.cgroup.cpu.stat.time_throttled_nanos alias
node_stats.os.cgroup.cpuacct.usage_nanos alias
node_stats.os.cgroup.memory.control_group alias
node_stats.os.cgroup.memory.limit_in_bytes alias
node_stats.os.cgroup.memory.usage_in_bytes alias
node_stats.os.cpu.load_average.1m alias
node_stats.process.cpu.percent alias
node_stats.thread_pool.bulk.queue alias
node_stats.thread_pool.bulk.rejected alias
node_stats.thread_pool.get.queue alias
node_stats.thread_pool.get.rejected alias
node_stats.thread_pool.index.queue alias
node_stats.thread_pool.index.rejected alias
node_stats.thread_pool.search.queue alias
node_stats.thread_pool.search.rejected alias
node_stats.thread_pool.write.queue alias
node_stats.thread_pool.write.rejected alias
service.address Service address keyword
service.name Name of the service data is collected from. The name of the service is normally user given. This allows for distributed services that run on multiple hosts to correlate the related instances based on the name. In the case of Elasticsearch the service.name could contain the cluster name. For Beats the service.name is by default a copy of the service.type field if no name is specified. keyword
service.type The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch. keyword
source_node.name alias
source_node.uuid alias
timestamp alias
**Example**

An example event for pending_tasks looks as following:

{
    "agent": {
        "name": "docker-fleet-agent",
        "id": "f11de143-c31c-49a2-8756-83697dbabe0f",
        "ephemeral_id": "3469da57-3138-4702-abc6-8b95e081fc12",
        "type": "metricbeat",
        "version": "8.5.0"
    },
    "@timestamp": "2022-09-21T16:00:34.116Z",
    "elasticsearch": {
        "cluster": {
            "name": "elasticsearch",
            "id": "N9ZLPL5RQHS67eZBrujPYg"
        },
        "pending_tasks": {
            "time_in_queue.ms": 50,
            "source": "create-index [foo-bar-1663776034], cause [api]",
            "priority": "URGENT",
            "insert_order": 3272
        }
    },
    "ecs": {
        "version": "8.0.0"
    },
    "service": {
        "address": "https://elasticsearch:9200",
        "name": "elasticsearch",
        "type": "elasticsearch"
    },
    "data_stream": {
        "namespace": "default",
        "type": "metrics",
        "dataset": "elasticsearch.stack_monitoring.pending_tasks"
    },
    "elastic_agent": {
        "id": "f11de143-c31c-49a2-8756-83697dbabe0f",
        "version": "8.5.0",
        "snapshot": true
    },
    "host": {
        "hostname": "docker-fleet-agent",
        "os": {
            "kernel": "5.10.47-linuxkit",
            "codename": "focal",
            "name": "Ubuntu",
            "family": "debian",
            "type": "linux",
            "version": "20.04.5 LTS (Focal Fossa)",
            "platform": "ubuntu"
        },
        "containerized": true,
        "ip": [
            "172.28.0.7"
        ],
        "name": "docker-fleet-agent",
        "id": "f1eefc91053740c399ff6f1cd52c37bb",
        "mac": [
            "02-42-AC-1C-00-07"
        ],
        "architecture": "x86_64"
    },
    "metricset": {
        "period": 10000,
        "name": "pending_tasks"
    },
    "event": {
        "duration": 4546300,
        "agent_id_status": "verified",
        "ingested": "2022-09-21T16:00:35Z",
        "module": "elasticsearch",
        "dataset": "elasticsearch.stack_monitoring.pending_tasks"
    }
}
**Exported fields**
Field Description Type
@timestamp Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events. date
cluster_uuid alias
data_stream.dataset Data stream dataset. constant_keyword
data_stream.namespace Data stream namespace. constant_keyword
data_stream.type Data stream type. constant_keyword
ecs.version ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices — which may conform to slightly different ECS versions — this field lets integrations adjust to the schema version of the events. keyword
elasticsearch.cluster.id Elasticsearch cluster id. keyword
elasticsearch.cluster.name Elasticsearch cluster name. keyword
elasticsearch.cluster.state.id Elasticsearch state id. keyword
elasticsearch.node.id Node ID keyword
elasticsearch.node.master Is the node the master node? boolean
elasticsearch.node.mlockall Is mlockall enabled on the node? boolean
elasticsearch.node.name Node name. keyword
elasticsearch.pending_tasks.insert_order Insert order long
elasticsearch.pending_tasks.priority Priority keyword
elasticsearch.pending_tasks.source Source. For example: put-mapping keyword
elasticsearch.pending_tasks.time_in_queue.ms Time in queue long
error.message Error message. match_only_text
event.dataset Name of the dataset. If an event source publishes more than one type of log or events (e.g. access log, error log), the dataset is used to specify which one the event comes from. It’s recommended but not required to start the dataset name with the module name, followed by a dot, then the dataset name. keyword
event.duration Duration of the event in nanoseconds. If event.start and event.end are known this value should be the difference between the end and start time. long
event.module Name of the module this data is coming from. If your monitoring agent supports the concept of modules or plugins to process events of a given source (e.g. Apache logs), event.module should contain the name of this module. keyword
host.name Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use. keyword
service.address Service address keyword
service.name Name of the service data is collected from. The name of the service is normally user given. This allows for distributed services that run on multiple hosts to correlate the related instances based on the name. In the case of Elasticsearch the service.name could contain the cluster name. For Beats the service.name is by default a copy of the service.type field if no name is specified. keyword
service.type The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch. keyword
source_node.name alias
source_node.uuid alias
timestamp alias

shard interrogates the Cluster State API endpoint to fetch information about all shards.

**Example**

An example event for shard looks as following:

{
    "@timestamp": "2022-10-11T12:00:04.109Z",
    "agent": {
        "ephemeral_id": "ff5b976d-76c5-46ff-8ca0-b78828af3950",
        "id": "79e48fe3-2ecd-4021-aed5-6e7e69d47606",
        "name": "docker-fleet-agent",
        "type": "metricbeat",
        "version": "8.5.0"
    },
    "data_stream": {
        "dataset": "elasticsearch.stack_monitoring.shard",
        "namespace": "ep",
        "type": "metrics"
    },
    "ecs": {
        "version": "8.0.0"
    },
    "elastic_agent": {
        "id": "79e48fe3-2ecd-4021-aed5-6e7e69d47606",
        "snapshot": true,
        "version": "8.5.0"
    },
    "elasticsearch": {
        "cluster": {
            "id": "rOwlC3lOTzC64KncMOKXkA",
            "name": "elasticsearch",
            "state": {
                "id": "wYk2RYBFT4K4m91iKD2rJQ"
            },
            "stats": {
                "state": {
                    "state_uuid": "wYk2RYBFT4K4m91iKD2rJQ"
                }
            }
        },
        "index": {
            "name": ".ml-anomalies-custom-test-job1"
        },
        "node": {
            "id": "66VKJaFeRDOIwmKcAcvnlA",
            "name": "3d0712405273"
        },
        "shard": {
            "number": 0,
            "primary": true,
            "relocating_node": {},
            "source_node": {
                "name": "3d0712405273",
                "uuid": "66VKJaFeRDOIwmKcAcvnlA"
            },
            "state": "STARTED"
        }
    },
    "event": {
        "agent_id_status": "verified",
        "dataset": "elasticsearch.stack_monitoring.shard",
        "duration": 80668875,
        "ingested": "2022-10-11T12:00:05Z",
        "module": "elasticsearch"
    },
    "host": {
        "architecture": "x86_64",
        "containerized": false,
        "hostname": "docker-fleet-agent",
        "id": "b6bc6723e51b43959ce07f0c3105c72d",
        "ip": [
            "192.168.0.7"
        ],
        "mac": [
            "02-42-C0-A8-00-07"
        ],
        "name": "docker-fleet-agent",
        "os": {
            "codename": "focal",
            "family": "debian",
            "kernel": "5.10.124-linuxkit",
            "name": "Ubuntu",
            "platform": "ubuntu",
            "type": "linux",
            "version": "20.04.5 LTS (Focal Fossa)"
        }
    },
    "metricset": {
        "name": "shard",
        "period": 10000
    },
    "service": {
        "address": "http://elastic-package-service-elasticsearch-1:9200",
        "type": "elasticsearch"
    }
}
**Exported fields**
Field Description Type
@timestamp Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events. date
cluster_uuid alias
data_stream.dataset Data stream dataset. constant_keyword
data_stream.namespace Data stream namespace. constant_keyword
data_stream.type Data stream type. constant_keyword
ecs.version ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices — which may conform to slightly different ECS versions — this field lets integrations adjust to the schema version of the events. keyword
elasticsearch.cluster.id Elasticsearch cluster id. keyword
elasticsearch.cluster.name Elasticsearch cluster name. keyword
elasticsearch.cluster.state.id Elasticsearch state id. keyword
elasticsearch.cluster.stats.state.state_uuid keyword
elasticsearch.index.name keyword
elasticsearch.node.id Node ID keyword
elasticsearch.node.master Is the node the master node? boolean
elasticsearch.node.mlockall Is mlockall enabled on the node? boolean
elasticsearch.node.name Node name. keyword
elasticsearch.shard.number The number of this shard. long
elasticsearch.shard.primary True if this is the primary shard. boolean
elasticsearch.shard.relocating_node.id The node the shard was relocated from. It has the exact same value than relocating_node.name for compatibility purposes. keyword
elasticsearch.shard.relocating_node.name The node the shard was relocated from. keyword
elasticsearch.shard.source_node.name keyword
elasticsearch.shard.source_node.uuid keyword
elasticsearch.shard.state The state of this shard. keyword
error.message Error message. match_only_text
event.dataset Name of the dataset. If an event source publishes more than one type of log or events (e.g. access log, error log), the dataset is used to specify which one the event comes from. It’s recommended but not required to start the dataset name with the module name, followed by a dot, then the dataset name. keyword
event.duration Duration of the event in nanoseconds. If event.start and event.end are known this value should be the difference between the end and start time. long
event.module Name of the module this data is coming from. If your monitoring agent supports the concept of modules or plugins to process events of a given source (e.g. Apache logs), event.module should contain the name of this module. keyword
host.name Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use. keyword
service.address Service address keyword
service.name Name of the service data is collected from. The name of the service is normally user given. This allows for distributed services that run on multiple hosts to correlate the related instances based on the name. In the case of Elasticsearch the service.name could contain the cluster name. For Beats the service.name is by default a copy of the service.type field if no name is specified. keyword
service.type The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch. keyword
shard.index alias
shard.node alias
shard.primary alias
shard.shard alias
shard.state alias
source_node.name alias
source_node.uuid alias
timestamp alias

Technical preview: please report any issue here, and specify the "elasticsearch" integration

For version 8.17.1+ of the module and collected data, the integration also installs a transform job called logs-elasticsearch.index_pivot-default-{{VERSION}}. This transform isn’t started by default (Stack management > Transforms), but will perform the following once activated:

  • Read the data from the index dataset, produced by this very same integration.
  • Aggregate the index-level stats in data-stream-centric insights, such as query count, query time or overall data volume.
  • This aggregated data is then processed through an additional, integration-installed, ingest pipeline ({{VERSION}}-monitoring_indices) before being shipped to a monitoring-indices index.

You can then visualize the resulting data in the [Elasticsearch] Indices & data streams usage dashboard.

Indices & data streams usage

Apart from some high-level statistics, such as total query count, total query time and total addressable data, the dashboard surfaces usage information centered on two dimensions:

  • The data tier.
  • The data stream (see note below for details about how this is computed).

As data ages, it commonly reduces in relative importance and is commonly stored on less efficient and more cost-effective hardware. Usage count and query time should also proportionally diminish. Various visualizations in the dashboard allow you to verify this assumption on your data, and ensure your ILM policy (and therefore data tier transitions) are aligned with how the data is actually being used.

Other visualizations in the dashboard allow you to compare the relative footprint of each data stream, from a storage, querying and indexing perspective. This can help you identify anomalies, stemming from faulty configuration or poor user behavior.

Both approaches can be used in conjunction, allowing you to fine-tune ILM on a data stream basis (if required) to closely match usage patterns.

⚠️ Important notes:

  • The transform job will process all compatible historical data, which has two implications: 1. if you have pre-8.17.1 data, this will not get picked up by the job and 2. it might take time for "live" data to be available, as the transform job works its way through all documents. You can modify the transform job as you please if need be.
  • The target index monitoring-indices is not controlled by ILM. In case you work on a setup with a high count of indices or with a high retention, you may need to tune the transform job, or activate ILM on the target index. Per our testing on a cluster with 5000 indices, we generated around 1GB of primary data for each week (your mileage may vary).
  • The identification of the data stream is based on the following grok pattern: ^(?:partial-)?(?:restored-)?(?:shrink-.{{4}}-)?(?:\.ds-)?(?<elasticsearch.index.datastream>[a-z_0-9\-\.]+?)(-(?:\d{{4}}\.\d{{2}}(\.\d{{2}})?))?(?:-\d+)?$. This should cover all "out of the box" names, but you can modify this to your liking in the {{VERSION}}-monitoring_indices ingest pipeline (though a copy is advised), if you are using non-standard names or would like to aggregate data differently.
**Changelog**
Version Details Kibana version(s)
1.16.0 pass:[] Enhancement (View pull request)
Add transform job & dashboard for datastream metrics
 8.10.1 or higher
1.15.3 pass:[] Bug fix (View pull request)
Make elasticsearch.node.name a TSDS dimension to prevent document collisions.
 8.10.1 or higher
1.15.2 pass:[] Enhancement (View pull request)
Add support for HTTP timeout in all elasticsearch metricsets
 8.10.1 or higher
1.15.1 pass:[] Enhancement (View pull request)
Add visualizations for data tier capacity
 8.10.1 or higher
1.15.0 pass:[] Enhancement (View pull request)
Add support shard_stats.total_count in node metricset
 8.10.1 or higher
1.14.0 pass:[] Enhancement (View pull request)
Add support for tags
 8.10.1 or higher
1.13.1 pass:[] Bug fix (View pull request)
Make "Total Storage over time" viz consistent with others by using same sourceField
 8.10.1 or higher
1.13.0 pass:[] Enhancement (View pull request)
Add mapping for total_data_set_size
 8.10.1 or higher
1.12.1 pass:[] Bug fix (View pull request)
Minor mapping fixes
 8.10.1 or higher
1.12.0 pass:[] Enhancement (View pull request)
Add dashboards to monitor ingestion volume / storage (Technical Preview/Beta)
 8.10.1 or higher
1.11.2 pass:[] Bug fix (View pull request)
Disable otherBucket in the panels of [Elasticsearch] Ingest Pipeline Details dashboard
 8.10.1 or higher
1.11.1 pass:[] Bug fix (View pull request)
Audit Pipeline Ignore Missing elasticsearch.audit.user.run_as.name
 8.10.1 or higher
1.11.0 pass:[] Enhancement (View pull request)
Make Stack Monitoring metrics GA
 8.10.1 or higher
1.10.0 pass:[] Enhancement (View pull request)
Add support for api_key authentication
 8.10.0 or higher
1.9.0 pass:[] Enhancement (View pull request)
Enable time series data streams for the metrics datasets Index, Index Summary, Index Recovery, ML Job, Ingest Pipeline, Node and Node Stats. This improves storage usage and query performance. For more details, see docs-content://manage-data/data-store/data-streams/time-series-data-stream-tsds.md
 8.8.0 or higher
1.8.1 pass:[] Enhancement (View pull request)
Add metric_type mapping for the fields of metrics datasets to support TSDB.
 8.8.0 or higher
1.8.0 pass:[] Enhancement (View pull request)
Set fields as dimensions for TSDB migration.
 8.8.0 or higher
1.7.4 pass:[] Bug fix (View pull request)
Fix elasticsearch.server.tags mapping
 8.8.0 or higher
1.7.3 pass:[] Bug fix (View pull request)
Add missing index_recovery.active_only configuration
 8.8.0 or higher
1.7.2 pass:[] Bug fix (View pull request)
Add missing event fields field mapping
 8.8.0 or higher
1.7.1 pass:[] Bug fix (View pull request)
Add host.ip field mapping to Elasticsearch
 8.8.0 or higher
1.7.0 pass:[] Enhancement (View pull request)
Add event.module field to Elasticsearch for Logs
 8.8.0 or higher
1.6.2 pass:[] Bug fix (View pull request)
Add missing ssl, condition and leader_election support to elasticsearch ingest pipeline datastream
 8.8.0 or higher
1.6.1 pass:[] Bug fix (View pull request)
Add explicit mapping for event timestamp fields
 8.8.0 or higher
1.6.0 pass:[] Enhancement (View pull request)
Make scope variable a select

pass:[] Enhancement (View pull request)
Add roles to node
 8.8.0 or higher
1.5.0 pass:[] Enhancement (View pull request)
Add force_merge to thread_pool node stats
 8.7.0 or higher
1.4.3 pass:[] Bug fix (View pull request)
Add mappings for ccr read_exceptions
 8.7.0 or higher
1.4.2 pass:[] Bug fix (View pull request)
Clarify that the metrics collected power the Stack Monitoring application
 8.7.0 or higher
1.4.1 pass:[] Bug fix (View pull request)
Fix collection of shard recovery total time
 8.7.0 or higher
1.4.0 pass:[] Enhancement (View pull request)
Add ingest pipeline monitoring dataset and dashboard (experimental)
 8.7.0 or higher
1.3.0 pass:[] Enhancement (View pull request)
Add conditional support to Elasticsearch log and metrics inputs

pass:[] Enhancement (View pull request)
Add leader election support to Elasticsearch inputs metrics inputs
 8.5.0 or higher
1.2.0 pass:[] Enhancement (View pull request)
Add period variable to define polling frequency
 8.5.0 or higher
1.2.0-preview2 pass:[] Enhancement (View pull request)
Add GC log level
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1.2.0-preview1 pass:[] Enhancement (View pull request)
Add ssl configuration option for metricsets
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1.1.0-preview1 pass:[] Enhancement (View pull request)
Suffix stack_monitoring to the datasets

pass:[] Bug fix (View pull request)
Align metrics mappings with metricbeat
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0.3.0 pass:[] Enhancement (View pull request)
Add scope configuration option for metricsets
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0.2.2 pass:[] Enhancement (View pull request)
Add documentation for multi-fields
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0.2.1 pass:[] Bug fix (View pull request)
Fix version mapping in the index_recovery data stream.
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0.2.0 pass:[] Enhancement (View pull request)
Update to ECS 1.12.0
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0.1.0 pass:[] Enhancement (View pull request)
initial release
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