Prometheus query timeout

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Sign in to your account. Related to The Prometheus datasource can add the querystring param in the api call as well once its available to all http datasources. Sorry about that. So the timeout should be configured at the prometheus config. Sorry :. No I think your first idea was correct, this needs some kind of generic solution. Maybe it requires some bigger changes to datasource requests. We had the same problem when introducing dashboardId and panelId for tracing.

Or do you have a better suggestion? Is my understanding correct, please merge this Unless we do the backendsrv refactoring. If you move the option back to the prometheus config page I will merge this. Sorry for the inconvinence. I revert last change. Please check Skip to content. Dismiss Join GitHub today GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together.

Sign up. New issue. Conversation 9 Commits 3 Checks 0 Files changed.Skip to content. Permalink Browse files. This is related to Queries now timeout after a duration set by the -query. Loading branch information. Unified Split. Showing 5 changed files with 61 additions and 7 deletions. Duration "query.

Second"Staleness delta allowance during expression evaluations. Minute"Maximum time a query may take before being aborted. Timestampstorage local. GetTimer stats. Start defer totalEvalTimer. Timestampend clientmodel. Timestampinterval time. Durationstorage local. Timestampformat OutputFormatstorage local. Matrices aren't supported. TimerGroup local.

Stop p. PreloadRange fptimestamp. PreloadRange fpstart. Timestamp, end clientmodel. Since t. TimestampFromTime serv.

EvalToString exprNodetimestampformatserv. StoragequeryStats glog. EvalVectorRange exprNode. VectorNodeclientmodel. Fprint wast. Start sort. Sort matrix.

You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Eval timestampnil. Timestamp, end clientmod. Eval t.Any non-breaking additions will be added under that endpoint.

Every successful API request returns a 2xx status code. Other non- 2xx codes may be returned for errors occurring before the API endpoint is reached. An array of warnings may be returned if there are errors that do not inhibit the request execution. All of the data that was successfully collected will be returned in the data field.

Input timestamps may be provided either in RFC format or as a Unix timestamp in seconds, with optional decimal places for sub-second precision. Output timestamps are always represented as Unix timestamps in seconds.

For example, 5m refers to a duration of 5 minutes. Query language expressions may be evaluated at a single instant or over a range of time. The sections below describe the API endpoints for each type of expression query.

This is useful when specifying a large query that may breach server-side URL character limits. See the expression query result formats. The following example evaluates the expression up at the time T The following example evaluates the expression up over a second range with a query resolution of 15 seconds.

This is useful when specifying a large or dynamic number of series selectors that may breach server-side URL character limits. Expression queries may return the following response values in the result property of the data section.

prometheus query timeout

Range vectors are returned as result type matrix. The corresponding result property has the following format:. Instant vectors are returned as result type vector. Scalar results are returned as result type scalar. String results are returned as result type string. The following endpoint returns an overview of the current state of the Prometheus target discovery:. Both the active and dropped targets are part of the response by default. The state query parameter allows the caller to filter by active or dropped targets, e.

Note that an empty array is still returned for targets that are filtered out. Other values are ignored. In addition it returns the currently active alerts fired by the Prometheus instance of each alerting rule.

When the parameter is absent or empty, no filtering is done. The following endpoint returns metadata about metrics currently scraped from targets. This is experimental and might change in the future. The data section of the query result consists of a list of objects that contain metric metadata and the target label set. It returns metadata about metrics currently scrapped from targets. However, it does not provide any target information.

Understanding query timeouts in prometheus

This is considered experimental and might change in the future. The data section of the query result consists of an object where each key is a metric name and each value is a list of unique metadata objects, as exposed for that metric name across all targets. The following example returns two metrics. At least one target has a value for HELP that do not match with the rest. The following endpoint returns an overview of the current state of the Prometheus alertmanager discovery:.Prometheus is configured via command-line flags and a configuration file.

While the command-line flags configure immutable system parameters such as storage locations, amount of data to keep on disk and in memory, etc. Prometheus can reload its configuration at runtime.

If the new configuration is not well-formed, the changes will not be applied. This will also reload any configured rule files.

prometheus query timeout

The file is written in YAML formatdefined by the scheme described below. Brackets indicate that a parameter is optional. For non-list parameters the value is set to the specified default. A valid example file can be found here. The global configuration specifies parameters that are valid in all other configuration contexts.

They also serve as defaults for other configuration sections. In the general case, one scrape configuration specifies a single job. In advanced configurations, this may change. The following meta labels are available on targets during relabeling :. The relabeling phase is the preferred and more powerful way to filter services or nodes for a service based on arbitrary labels. For users with thousands of services it can be more efficient to use the Consul API directly which has basic support for filtering nodes currently by node metadata and a single tag.

A DNS-based service discovery configuration allows specifying a set of DNS domain names which are periodically queried to discover a list of targets. The private IP address is used by default, but may be changed to the public IP address with relabeling. The relabeling phase is the preferred and more powerful way to filter targets based on arbitrary labels. For users with thousands of instances it can be more efficient to use the EC2 API directly which has support for filtering instances.

The hypervisor role discovers one target per Nova hypervisor node. The instance role discovers one target per network interface of Nova instance. The target address defaults to the private IP address of the network interface. File-based service discovery provides a more generic way to configure static targets and serves as an interface to plug in custom service discovery mechanisms. Changes to all defined files are detected via disk watches and applied immediately.

Only changes resulting in well-formed target groups are applied. As a fallback, the file contents are also re-read periodically at the specified refresh interval. Its value is set to the filepath from which the target was extracted. There is a list of integrations with this discovery mechanism. Credentials are discovered by the Google Cloud SDK default client by looking in the following places, preferring the first location found:.

If Prometheus is running within GCE, the service account associated with the instance it is running on should have at least read-only permissions to the compute resources. If running outside of GCE make sure to create an appropriate service account and place the credential file in one of the expected locations. The node role discovers one target per cluster node with the address defaulting to the Kubelet's HTTP port. In addition, the instance label for the node will be set to the node name as retrieved from the API server.

The service role discovers a target for each service port for each service. This is generally useful for blackbox monitoring of a service. The address will be set to the Kubernetes DNS name of the service and respective service port.Some functions have default arguments, e.

This means that there is one argument v which is an instant vector, which if not provided it will default to the value of the expression vector time. This is useful for alerting on when no time series exist for a given metric name and label combination. In the first two examples, absent tries to be smart about deriving labels of the 1-element output vector from the input vector.

This is useful for alerting on when no time series exist for a given metric name and label combination for a certain amount of time.

For each input time series, changes v range-vector returns the number of times its value has changed within the provided time range as an instant vector.

Returned values are from 1 to Returned values are from 0 to 6, where 0 means Sunday etc. Returned values are from 28 to The delta is extrapolated to cover the full time range as specified in the range vector selector, so that it is possible to get a non-integer result even if the sample values are all integers. The following example expression returns the difference in CPU temperature between now and 2 hours ago:.

Special cases are:. The samples in b are the counts of observations in each bucket. Each sample must have a label le where the label value denotes the inclusive upper bound of the bucket.

Samples without such a label are silently ignored. To calculate the 90th percentile of request durations over the last 10m, use the following expression:. To aggregate, use the sum aggregator around the rate function. The following expression aggregates the 90th percentile by job :. Otherwise, NaN is returned. If a quantile is located in the highest bucket, the upper bound of the second highest bucket is returned. A lower limit of the lowest bucket is assumed to be 0 if the upper bound of that bucket is greater than 0.

In that case, the usual linear interpolation is applied within that bucket. Otherwise, the upper bound of the lowest bucket is returned for quantiles located in the lowest bucket.

If b contains fewer than two buckets, NaN is returned. The lower the smoothing factor sfthe more importance is given to old data. The higher the trend factor tfthe more trends in the data is considered. Both sf and tf must be between 0 and 1. Returned values are from 0 to Breaks in monotonicity such as counter resets due to target restarts are automatically adjusted for.

The increase is extrapolated to cover the full time range as specified in the range vector selector, so that it is possible to get a non-integer result even if a counter increases only by integer increments.GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together.

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If nothing happens, download Xcode and try again. If nothing happens, download the GitHub extension for Visual Studio and try again. Database agnostic SQL exporter for Prometheus.

The collected metrics and the queries that produce them are entirely configuration defined. SQL queries are grouped into collectors -- logical groups of queries, e. Collectors may be DBMS-specific e. This means you can quickly and easily set up custom collectors to measure data quality, whatever that might mean in your specific case.

If both the exporter and the DB server are on the same host, they will share the same failure domain: they will usually be either both up and running or both down. The configuration examples listed here only cover the core elements. You will find ready to use "standard" DBMS-specific collector definitions in the examples directory.

You may contribute your own collector definitions and metric additions if you think they could be more widely useful, even if they are merely different takes on already covered DBMSs. Collectors may be defined inline, in the exporter configuration file, under collectorsor they may be defined in separate files and referenced in the exporter configuration by name, making them easy to share and reuse. However, because the Go sql library does not allow for automatic driver selection based on the DSN i.

But what is the point of a configuration driven SQL exporter, if you're going to use it along with 2 more exporters with wholly different world views and configurations, because you also have MySQL and PostgreSQL instances to monitor?

This is partly a philosophical issue, but practical issues are not all that difficult to imagine: jitter; duplicate data points; or collected but not scraped data points. The control they provide over which labels get applied is limited, and the base label set spammy.

And finally, configurations are not easily reused without copy-pasting and editing across jobs and instances.

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prometheus query timeout

Sign up. Go Makefile Dockerfile. Go Branch: master. Find file. Sign in Sign up. Go back. Launching Xcode If nothing happens, download Xcode and try again. Latest commit. Latest commit 6f96b0d Nov 28, Metric queries will run concurrently on multiple connections. In some cases e. You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Add a config. May 14, Add Static labels Nov 27, Prometheus provides a functional query language called PromQL Prometheus Query Language that lets the user select and aggregate time series data in real time.

The result of an expression can either be shown as a graph, viewed as tabular data in Prometheus's expression browser, or consumed by external systems via the HTTP API. This document is meant as a reference. For learning, it might be easier to start with a couple of examples. In Prometheus's expression language, an expression or sub-expression can evaluate to one of four types:.

Depending on the use-case e. For example, an expression that returns an instant vector is the only type that can be directly graphed. PromQL follows the same escaping rules as Go. No escaping is processed inside backticks. Unlike Go, Prometheus does not discard newlines inside backticks. Scalar float values can be literally written as numbers of the form [-] digits [. Instant vector selectors allow the selection of a set of time series and a single sample value for each at a given timestamp instant : in the simplest form, only a metric name is specified.

This results in an instant vector containing elements for all time series that have this metric name. It is also possible to negatively match a label value, or to match label values against regular expressions. The following label matching operators exist:.

Label matchers that match empty label values also select all time series that do not have the specific label set at all. Regex-matches are fully anchored.

It is possible to have multiple matchers for the same label name. Vector selectors must either specify a name or at least one label matcher that does not match the empty string. The following expression is illegal:. In contrast, these expressions are valid as they both have a selector that does not match empty label values.

The following expression selects all metrics that have a name starting with job: :. All regular expressions in Prometheus use RE2 syntax. Range vector literals work like instant vector literals, except that they select a range of samples back from the current instant. Syntactically, a range duration is appended in square brackets [] at the end of a vector selector to specify how far back in time values should be fetched for each resulting range vector element.

The offset modifier allows changing the time offset for individual instant and range vectors in a query. Note that the offset modifier always needs to follow the selector immediately, i. The same works for range vectors.

Subquery allows you to run an instant query for a given range and resolution. The result of a subquery is a range vector. Prometheus supports many binary and aggregation operators.