The stats
API returns the current Watcher metrics.
GET _watcher/stats
GET _watcher/stats/<metric>
This API always returns basic metrics. You retrieve more metrics by using
the metric
parameter.
The current executing watches metric gives insight into the watches that are
currently being executed by Watcher. Additional information is shared per
watch that is currently executing. This information includes the watch_id
,
the time its execution started and its current execution phase.
To include this metric, the metric
option should be set to current_watches
or _all
. In addition you can also specify the emit_stacktraces=true
parameter, which adds stack traces for each watch that is being executed. These
stack traces can give you more insight into an execution of a watch.
Watcher moderates the execution of watches such that their execution won’t put too much pressure on the node and its resources. If too many watches trigger concurrently and there isn’t enough capacity to execute them all, some of the watches are queued, waiting for the current executing watches to finish their execution. The queued watches metric gives insight on these queued watches.
To include this metric, the metric
option should include queued_watches
or
_all
.
emit_stacktraces
false
.
metric
(enum) Defines which additional metrics are included in the response.
current_watches
queued_watches
_all
You must have manage_watcher
or monitor_watcher
cluster privileges to use
this API. For more information, see
Security Privileges.
The following example calls the stats
API to retrieve basic metrics:
GET _watcher/stats
A successful call returns a JSON structure similar to the following example:
{ "watcher_state": "started", "watch_count": 1, "execution_thread_pool": { "size": 1000, "max_size": 1 } }
The current state of watcher, which can be | |
The number of watches currently registered. | |
The number of watches that were triggered and currently queued for execution. | |
The largest size of the execution thread pool, which indicates the largest number of concurrent executing watches. |
The following example specifies the metric
option as a query string argument
and will include the basic metrics and metrics about the current executing watches:
GET _watcher/stats?metric=current_watches
The following example specifies the metric
option as part of the url path:
GET _watcher/stats/current_watches
The following snippet shows an example of a successful JSON response that captures a watch in execution:
{ "watcher_state": "started", "watch_count": 2, "execution_thread_pool": { "queue_size": 1000, "max_size": 20 }, "current_watches": [ { "watch_id": "slow_condition", "watch_record_id": "slow_condition_3-2015-05-13T07:42:32.179Z", "triggered_time": "2015-05-12T11:53:51.800Z", "execution_time": "2015-05-13T07:42:32.179Z", "execution_phase": "condition" } ] }
A list of all the watches that are currently being executed by Watcher. When no watches are currently executing, an empty array is returned. The captured watches are sorted by execution time in descending order. Thus the longest running watch is always at the top. | |
The id of the watch being executed. | |
The id of the watch record. | |
The time the watch was triggered by the trigger engine. | |
The time the watch was executed. This is just before the input is being executed. | |
The current watch execution phase. Can be |
The following example specifies the queued_watches
metric option and includes
both the basic metrics and the queued watches:
GET _watcher/stats/queued_watches
An example of a successful JSON response that captures a watch in execution:
{ "watcher_state": "started", "watch_count": 10, "execution_thread_pool": { "queue_size": 1000, "max_size": 20 }, "queued_watches": [ { "watch_id": "slow_condition4", "watch_record_id": "slow_condition4_223-2015-05-21T11:59:59.811Z", "triggered_time": "2015-05-21T11:59:59.811Z", "execution_time": "2015-05-21T11:59:59.811Z" }, ... ] }