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Cassandra

This Elastic integration collects logs and metrics from cassandra.

What is an Elastic integration?
Version
1.11.0 (View all)
Compatible Kibana version(s)
8.8.0 or higher
Supported Serverless project types

What's this?
Security
Observability
Subscription level
What's this?
Basic
Level of support
What's this?
Elastic

This integration periodically fetches metrics from Cassandra using jolokia agent. It can parse System logs.

Compatibility

This integration has been tested against Cassandra version 3.11.11.

Troubleshooting

If log.flags is shown conflicted under the logs-* data view, then this issue can be solved by reindexing the Logs data stream's indices.

Note:

  • This document provides details about reindexing.

Logs

Cassandra system logs from cassandra.log files.

An example event for log looks as following:

{
    "@timestamp": "2022-08-01T07:33:01.952Z",
    "agent": {
        "ephemeral_id": "d6102ad8-04fe-46fa-bf67-cc98e3665348",
        "hostname": "docker-fleet-agent",
        "id": "d1a9277c-e5a2-4ee3-a973-18f2b62e3ad8",
        "name": "docker-fleet-agent",
        "type": "filebeat",
        "version": "7.15.0"
    },
    "data_stream": {
        "dataset": "cassandra.log",
        "namespace": "ep",
        "type": "logs"
    },
    "ecs": {
        "version": "8.5.1"
    },
    "elastic_agent": {
        "id": "d1a9277c-e5a2-4ee3-a973-18f2b62e3ad8",
        "snapshot": false,
        "version": "7.15.0"
    },
    "event": {
        "agent_id_status": "verified",
        "category": [
            "database"
        ],
        "dataset": "cassandra.log",
        "ingested": "2022-08-01T07:33:17Z",
        "kind": "event",
        "module": "cassandra",
        "original": "INFO  [main] 2022-08-01 07:33:01,952 YamlConfigurationLoader.java:92 - Configuration location: file:/etc/cassandra/cassandra.yaml",
        "type": "info"
    },
    "input": {
        "type": "log"
    },
    "log": {
        "file": {
            "path": "/tmp/service_logs/cassandra/system.log"
        },
        "level": "INFO",
        "offset": 0,
        "origin": {
            "file": {
                "line": 92,
                "name": "YamlConfigurationLoader.java"
            }
        }
    },
    "message": "Configuration location: file:/etc/cassandra/cassandra.yaml",
    "process": {
        "thread": {
            "name": "main"
        }
    },
    "tags": [
        "forwarded",
        "cassandra-systemlogs"
    ]
}

Exported fields

FieldDescriptionType
@timestamp
Event timestamp.
date
cassandra.log.meta
Log meta infos like java stack_trace.
keyword
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
error.message
Error message.
match_only_text
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.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
input.type
Type of Filebeat input.
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.flags
Flags for the log file.
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
Offset of the entry in the log file.
long
log.origin.file.line
The line number of the file containing the source code which originated the log event.
long
log.origin.file.name
The name of the file containing the source code which originated the log event. Note that this field is not meant to capture the log file. The correct field to capture the log file is log.file.path.
keyword
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
tags
List of keywords used to tag each event.
keyword

Metrics

Cassandra metrics using jolokia agent installed on cassandra.

An example event for metrics looks as following:

{
    "@timestamp": "2022-08-02T07:46:20.906Z",
    "agent": {
        "ephemeral_id": "dd01aaac-f888-4fdb-832d-d05840060d78",
        "hostname": "docker-fleet-agent",
        "id": "f8436de1-7850-497f-905d-b6c9ca3116ca",
        "name": "docker-fleet-agent",
        "type": "metricbeat",
        "version": "7.15.0"
    },
    "cassandra": {
        "metrics": {
            "cache": {
                "key_cache": {
                    "capacity": 104857600,
                    "one_minute_hit_rate": 0.7055988630359871,
                    "requests": {
                        "one_minute_rate": 10.000444146293233
                    }
                },
                "row_cache": {
                    "capacity": 0,
                    "requests": {
                        "one_minute_rate": 0
                    }
                }
            },
            "client": {
                "connected_native_clients": 0
            },
            "client_request": {
                "casread": {
                    "one_minute_rate": 0
                },
                "caswrite": {
                    "one_minute_rate": 0
                },
                "range_slice": {
                    "one_minute_rate": 0,
                    "total_latency": 0
                },
                "read": {
                    "count": 0,
                    "one_minute_rate": 0,
                    "timeouts": 0,
                    "timeoutsms": 0,
                    "total_latency": 0,
                    "unavailables": 0,
                    "unavailablesms": 0
                },
                "write": {
                    "count": 0,
                    "one_minute_rate": 0,
                    "timeouts": 0,
                    "timeoutsms": 0,
                    "total_latency": 0,
                    "unavailables": 0,
                    "unavailablesms": 0
                }
            },
            "column_family": {
                "total_disk_space_used": 72611
            },
            "compaction": {
                "completed": 45,
                "pending": 0
            },
            "dropped_message": {
                "batch_remove": 0,
                "batch_store": 0,
                "counter_mutation": 0,
                "hint": 0,
                "mutation": 0,
                "paged_range": 0,
                "range_slice": 0,
                "read": 0,
                "read_repair": 0,
                "request_response": 0,
                "trace": 0
            },
            "gc": {
                "concurrent_mark_sweep": {
                    "collection_count": 1,
                    "collection_time": 27
                },
                "par_new": {
                    "collection_count": 1,
                    "collection_time": 24
                }
            },
            "memory": {
                "heap_usage": {
                    "committed": 4054777856,
                    "init": 4158652416,
                    "max": 4054777856,
                    "used": 478032264
                },
                "other_usage": {
                    "committed": 62853120,
                    "init": 2555904,
                    "max": -1,
                    "used": 61234528
                }
            },
            "storage": {
                "exceptions": 0,
                "load": 72611,
                "total_hint_in_progress": 0,
                "total_hints": 0
            },
            "system": {
                "cluster": "Test Cluster",
                "data_center": "datacenter1",
                "live_nodes": [
                    "192.168.224.2"
                ],
                "rack": "rack1",
                "version": "3.11.11"
            },
            "table": {
                "all_memtables_heap_size": 4569,
                "all_memtables_off_heap_size": 0,
                "live_disk_space_used": 72611,
                "live_ss_table_count": 11
            },
            "task": {
                "complete": 55,
                "pending": 0,
                "total_commitlog_size": 67108864
            },
            "thread_pools": {
                "counter_mutation_stage": {
                    "request": {
                        "active": 0,
                        "pending": 0
                    }
                },
                "mutation_stage": {
                    "request": {
                        "active": 0,
                        "pending": 0
                    }
                },
                "read_repair_stage": {
                    "request": {
                        "active": 0,
                        "pending": 0
                    }
                },
                "read_stage": {
                    "request": {
                        "active": 0,
                        "pending": 0
                    }
                },
                "request_response_stage": {
                    "request": {
                        "active": 0,
                        "pending": 0
                    }
                }
            }
        }
    },
    "data_stream": {
        "dataset": "cassandra.metrics",
        "namespace": "ep",
        "type": "metrics"
    },
    "ecs": {
        "version": "8.5.1"
    },
    "elastic_agent": {
        "id": "f8436de1-7850-497f-905d-b6c9ca3116ca",
        "snapshot": false,
        "version": "7.15.0"
    },
    "event": {
        "agent_id_status": "verified",
        "category": [
            "database"
        ],
        "created": "2022-08-02T07:46:20.906Z",
        "dataset": "cassandra.metrics",
        "duration": 13448617,
        "ingested": "2022-08-02T07:46:24Z",
        "kind": "event",
        "module": "cassandra",
        "type": [
            "info"
        ]
    },
    "host": {
        "architecture": "x86_64",
        "containerized": true,
        "hostname": "docker-fleet-agent",
        "id": "2cbd07697ac16c7d26f103cb3d40e3aa",
        "ip": [
            "192.168.192.7"
        ],
        "mac": [
            "02:42:c0:a8:c0:07"
        ],
        "name": "docker-fleet-agent",
        "os": {
            "codename": "Core",
            "family": "redhat",
            "kernel": "3.10.0-1160.71.1.el7.x86_64",
            "name": "CentOS Linux",
            "platform": "centos",
            "type": "linux",
            "version": "7 (Core)"
        }
    },
    "metricset": {
        "name": "jmx",
        "period": 10000
    },
    "service": {
        "address": "http://elastic-package-service_cassandra_1:8778/jolokia/%3FignoreErrors=true\u0026canonicalNaming=false",
        "type": "jolokia"
    }
}

Exported fields

FieldDescriptionTypeMetric Type
@timestamp
Event timestamp.
date
agent.id
Unique identifier of this agent (if one exists). Example: For Beats this would be beat.id.
keyword
cassandra.metrics.cache.key_cache.capacity
long
gauge
cassandra.metrics.cache.key_cache.one_minute_hit_rate
long
gauge
cassandra.metrics.cache.key_cache.requests.one_minute_rate
long
gauge
cassandra.metrics.cache.row_cache.capacity
long
gauge
cassandra.metrics.cache.row_cache.one_minute_hit_rate
long
gauge
cassandra.metrics.cache.row_cache.requests.one_minute_rate
long
gauge
cassandra.metrics.client.connected_native_clients
long
gauge
cassandra.metrics.client_request.casread.one_minute_rate
double
gauge
cassandra.metrics.client_request.caswrite.one_minute_rate
double
gauge
cassandra.metrics.client_request.range_slice.one_minute_rate
double
gauge
cassandra.metrics.client_request.range_slice.total_latency
double
counter
cassandra.metrics.client_request.read.count
long
counter
cassandra.metrics.client_request.read.one_minute_rate
double
gauge
cassandra.metrics.client_request.read.timeouts
Number of read timeouts encountered.
double
counter
cassandra.metrics.client_request.read.timeoutsms
double
gauge
cassandra.metrics.client_request.read.total_latency
double
counter
cassandra.metrics.client_request.read.unavailables
Number of read unavailables encountered.
double
counter
cassandra.metrics.client_request.read.unavailablesms
double
gauge
cassandra.metrics.client_request.write.count
long
counter
cassandra.metrics.client_request.write.one_minute_rate
double
gauge
cassandra.metrics.client_request.write.timeouts
double
counter
cassandra.metrics.client_request.write.timeoutsms
double
gauge
cassandra.metrics.client_request.write.total_latency
double
counter
cassandra.metrics.client_request.write.unavailables
double
counter
cassandra.metrics.client_request.write.unavailablesms
double
gauge
cassandra.metrics.column_family.total_disk_space_used
long
gauge
cassandra.metrics.compaction.completed
compaction completed tasks.
long
gauge
cassandra.metrics.compaction.pending
compaction pending tasks.
long
gauge
cassandra.metrics.dropped_message.batch_remove
long
counter
cassandra.metrics.dropped_message.batch_store
long
counter
cassandra.metrics.dropped_message.counter_mutation
long
counter
cassandra.metrics.dropped_message.hint
long
counter
cassandra.metrics.dropped_message.mutation
long
counter
cassandra.metrics.dropped_message.paged_range
long
counter
cassandra.metrics.dropped_message.range_slice
long
counter
cassandra.metrics.dropped_message.read
long
counter
cassandra.metrics.dropped_message.read_repair
long
counter
cassandra.metrics.dropped_message.request_response
long
counter
cassandra.metrics.dropped_message.trace
long
counter
cassandra.metrics.gc.concurrent_mark_sweep.collection_count
Total number of CMS collections that have occurred.
long
gauge
cassandra.metrics.gc.concurrent_mark_sweep.collection_time
Approximate accumulated CMS collection elapsed time in milliseconds.
long
gauge
cassandra.metrics.gc.par_new.collection_count
Total number of ParNew collections that have occurred.
long
gauge
cassandra.metrics.gc.par_new.collection_time
Approximate accumulated ParNew collection elapsed time in milliseconds.
long
gauge
cassandra.metrics.memory.heap_usage.committed
Committed heap memory usage.
long
gauge
cassandra.metrics.memory.heap_usage.init
Initial heap memory usage.
long
gauge
cassandra.metrics.memory.heap_usage.max
Max heap memory usage.
long
gauge
cassandra.metrics.memory.heap_usage.used
Used heap memory usage.
long
gauge
cassandra.metrics.memory.other_usage.committed
Committed non-heap memory usage.
long
gauge
cassandra.metrics.memory.other_usage.init
Initial non-heap memory usage.
long
gauge
cassandra.metrics.memory.other_usage.max
Max non-heap memory usage.
long
gauge
cassandra.metrics.memory.other_usage.used
Used non-heap memory usage.
long
gauge
cassandra.metrics.storage.exceptions
The number of the total exceptions.
long
counter
cassandra.metrics.storage.load
Storage used for Cassandra data in bytes.
long
counter
cassandra.metrics.storage.total_hint_in_progress
The number of the total hits in progress.
long
counter
cassandra.metrics.storage.total_hints
The number of the total hits.
long
counter
cassandra.metrics.system.cluster
keyword
cassandra.metrics.system.data_center
keyword
cassandra.metrics.system.joining_nodes
keyword
cassandra.metrics.system.leaving_nodes
keyword
cassandra.metrics.system.live_nodes
keyword
cassandra.metrics.system.moving_nodes
keyword
cassandra.metrics.system.rack
keyword
cassandra.metrics.system.unreachable_nodes
keyword
cassandra.metrics.system.version
keyword
cassandra.metrics.table.all_memtables_heap_size
long
gauge
cassandra.metrics.table.all_memtables_off_heap_size
long
gauge
cassandra.metrics.table.live_disk_space_used
long
counter
cassandra.metrics.table.live_ss_table_count
long
gauge
cassandra.metrics.task.complete
completed tasks.
long
gauge
cassandra.metrics.task.pending
pending tasks.
long
gauge
cassandra.metrics.task.total_commitlog_size
total commitlog size of tasks.
long
gauge
cassandra.metrics.thread_pools.counter_mutation_stage.request.active
long
gauge
cassandra.metrics.thread_pools.counter_mutation_stage.request.pending
long
gauge
cassandra.metrics.thread_pools.mutation_stage.request.active
long
gauge
cassandra.metrics.thread_pools.mutation_stage.request.pending
long
gauge
cassandra.metrics.thread_pools.read_repair_stage.request.active
long
gauge
cassandra.metrics.thread_pools.read_repair_stage.request.pending
long
gauge
cassandra.metrics.thread_pools.read_stage.request.active
long
gauge
cassandra.metrics.thread_pools.read_stage.request.pending
long
gauge
cassandra.metrics.thread_pools.request_response_stage.request.active
long
gauge
cassandra.metrics.thread_pools.request_response_stage.request.pending
long
gauge
cloud.account.id
The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.
keyword
cloud.availability_zone
Availability zone in which this host, resource, or service is located.
keyword
cloud.instance.id
Instance ID of the host machine.
keyword
cloud.project.id
The cloud project identifier. Examples: Google Cloud Project id, Azure Project id.
keyword
cloud.provider
Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.
keyword
cloud.region
Region in which this host, resource, or service is located.
keyword
container.id
Unique container id.
keyword
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
error.message
Error message.
match_only_text
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.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.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
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
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.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
Address where data about this service was collected from. This should be a URI, network address (ipv4:port or [ipv6]:port) or a resource path (sockets).
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

Changelog

VersionDetailsKibana version(s)

1.11.0

Enhancement View pull request
Enable 'secret' for the sensitive fields, supported from 8.12.

8.8.0 or higher

1.10.1

Bug fix View pull request
Update the link to the correct reindexing procedure.

8.8.0 or higher

1.10.0

Enhancement View pull request
Update the package format_version to 3.0.0.

8.8.0 or higher

1.9.2

Bug fix View pull request
Fix the type for log.flags field.

8.8.0 or higher

1.9.1

Bug fix View pull request
Add null check and ignore_missing check to the rename processor

8.8.0 or higher

1.9.0

Enhancement View pull request
Enable time series data streams for the metrics datasets. This dramatically reduces storage for metrics and is expected to progressively improve query performance. For more details, see https://www.elastic.co/guide/en/elasticsearch/reference/current/tsds.html.

8.8.0 or higher

1.8.1

Enhancement View pull request
Add metric_type mapping for the fields of metrics datastream.

8.3.0 or higher

1.8.0

Enhancement View pull request
Add dimension fields for metrics datastream for TSDB enablement.

8.3.0 or higher

1.7.0

Enhancement View pull request
Rename ownership from obs-service-integrations to obs-infraobs-integrations

8.3.0 or higher

1.6.0

Enhancement View pull request
Migrate System Logs dashboard visualizations to lens.

8.3.0 or higher

1.5.0

Enhancement View pull request
Migrate Overview dashboard visualizations to lens.

8.3.0 or higher

1.4.1

Enhancement View pull request
Added categories and/or subcategories.

7.15.0 or higher
8.0.0 or higher

1.4.0

Enhancement View pull request
Update ECS version to 8.5.1

7.15.0 or higher
8.0.0 or higher

1.3.0

Enhancement View pull request
Update cassandra package as per best practices.

7.15.0 or higher
8.0.0 or higher

1.2.3

Bug fix View pull request
Fix dashboard issues.

7.15.0 or higher
8.0.0 or higher

1.2.2

Bug fix View pull request
Fix typo in config template for ignoring host enrichment

—

1.2.1

Enhancement View pull request
Add documentation for multi-fields

—

1.2.0

Enhancement View pull request
Update to ECS 8.0

—

1.1.0

Enhancement View pull request
Release cassandra package for v8.0.0

7.15.0 or higher
8.0.0 or higher

1.0.0

Enhancement View pull request
GA Release

—

0.0.1

Enhancement View pull request
Initial draft of the package

—

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