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### Describe Your Changes small update to `data_range` parameter in uppermost config conversion example ### Checklist The following checks are **mandatory**: - [ ] My change adheres [VictoriaMetrics contributing guidelines](https://docs.victoriametrics.com/contributing/).
284 lines
10 KiB
Markdown
284 lines
10 KiB
Markdown
---
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title: Reader
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weight: 2
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menu:
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docs:
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parent: "vmanomaly-components"
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weight: 2
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aliases:
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- /anomaly-detection/components/reader.html
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---
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<!--
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There are 4 sources available to read data into VM Anomaly Detection from: VictoriaMetrics, (ND)JSON file, QueryRange, or CSV file. Depending on the data source, different parameters should be specified in the config file in the `reader` section.
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-->
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VictoriaMetrics Anomaly Detection (`vmanomaly`) primarily uses [VmReader](#vm-reader) to ingest data. This reader focuses on fetching time-series data directly from VictoriaMetrics with the help of powerful [MetricsQL](../../MetricsQL.md) expressions for aggregating, filtering and grouping your data, ensuring seamless integration and efficient data handling.
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Future updates will introduce additional readers, expanding the range of data sources `vmanomaly` can work with.
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## VM reader
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> **Note**: Starting from [v1.13.0](/anomaly-detection/changelog#v1130) there is backward-compatible change of [`queries`](/anomaly-detection/components/reader?highlight=queries#vm-reader) arg of [VmReader](#vm-reader). New format allows to specify per-query parameters, like `step` to reduce amount of data read from VictoriaMetrics TSDB and to allow config flexibility. Please see [per-query parameters](#per-query-parameters) section for the details.
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Old format like
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```yaml
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# other config sections ...
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reader:
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class: 'vm'
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datasource_url: 'http://localhost:8428' # source victoriametrics/prometheus
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sampling_period: "10s" # set it <= min(infer_every) in schedulers section
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queries:
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# old format {query_alias: query_expr}, prior to 1.13, will be converted to a new format automatically
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vmb: 'avg(vm_blocks)'
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```
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will be converted to a new one with a warning raised in logs:
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```yaml
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# other config sections ...
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reader:
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class: 'vm'
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datasource_url: 'http://localhost:8428' # source victoriametrics/prometheus
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sampling_period: '10s'
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queries:
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# old format {query_alias: query_expr}, prior to 1.13, will be converted to a new format automatically
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vmb:
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expr: 'avg(vm_blocks)' # initial MetricsQL expression
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step: '10s' # individual step for this query, will be filled with `sampling_period` from the root level
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data_range: ['-inf', 'inf'] # by default, no constraints applied on data range
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# new query-level arguments will be added in backward-compatible way in future releases
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```
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### Per-query parameters
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Starting from [v1.13.0](/anomaly-detection/changelog#v1130) there is change of [`queries`](/anomaly-detection/components/reader?highlight=queries#vm-reader) arg format. Now each query alias supports the next (sub)fields:
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- `expr` (string): MetricsQL/PromQL expression that defines an input for VmReader. As accepted by `/query_range?query=%s`. i.e. `avg(vm_blocks)`
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- `step` (string): query-level frequency of the points returned, i.e. `30s`. Will be converted to `/query_range?step=%s` param (in seconds). Useful to optimize total amount of data read from VictoriaMetrics, where different queries may have **different frequencies for different [machine learning models](/anomaly-detection/components/models)** to run on.
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> **Note**: if not set explicitly (or if older config style prior to [v1.13.0](/anomaly-detection/changelog#v1130)) is used, then it is set to reader-level `sampling_period` arg.
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> **Note**: having **different** individual `step` args for queries (i.e. `30s` for `q1` and `2m` for `q2`) is not yet supported for [multivariate model](/anomaly-detection/components/models/index.html#multivariate-models) if you want to run it on several queries simultaneously (i.e. setting [`queries`](/anomaly-detection/components/models/#queries) arg of a model to [`q1`, `q2`]).
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- `data_range` (list[float | string]): Introduced in [v1.15.1](https://docs.victoriametrics.com/anomaly-detection/changelog/#v1151), it allows defining **valid** data ranges for input per individual query in `queries`, resulting in:
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- **High anomaly scores** (>1) when the *data falls outside the expected range*, indicating a data constraint violation.
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- **Lowest anomaly scores** (=0) when the *model's predictions (`yhat`) fall outside the expected range*, meaning uncertain predictions.
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### Per-query config example
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```yaml
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reader:
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class: 'vm'
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sampling_period: '1m'
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# other reader params ...
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queries:
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ingestion_rate:
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expr: 'sum(rate(vm_rows_inserted_total[5m])) by (type) > 0'
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step: '2m' # overrides global `sampling_period` of 1m
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data_range: [10, 'inf'] # meaning only positive values > 10 are expected, i.e. a value `y` < 10 will trigger anomaly score > 1
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```
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### Config parameters
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<table class="params">
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<thead>
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<tr>
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<th>Parameter</th>
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<th>Example</th>
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<th>Description</th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<td>
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`class`
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</td>
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<td>
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`reader.vm.VmReader` (or `vm` starting from [v1.13.0](../CHANGELOG.md#v1130))
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</td>
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<td>
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Name of the class needed to enable reading from VictoriaMetrics or Prometheus. VmReader is the default option, if not specified.
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</td>
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</tr>
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<tr>
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<td>
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`queries`
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</td>
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<td>
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See [per-query config example](#per-query-config-example) above
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</td>
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<td>
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See [per-query config section](#per-query-parameters) above
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</td>
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</tr>
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<tr>
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<td>
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`datasource_url`
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</td>
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<td>
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`http://localhost:8481/`
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</td>
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<td>
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Datasource URL address
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</td>
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</tr>
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<tr>
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<td>
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`tenant_id`
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</td>
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<td>
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`0:0`
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</td>
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<td>
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For VictoriaMetrics Cluster version only, tenants are identified by accountID or accountID:projectID. See VictoriaMetrics Cluster [multitenancy docs](../../Cluster-VictoriaMetrics.md#multitenancy)
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</td>
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</tr>
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<tr>
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<td>
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`sampling_period`
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</td>
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<td>
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`1h`
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</td>
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<td>
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Frequency of the points returned. Will be converted to `/query_range?step=%s` param (in seconds). **Required** since [v1.9.0](../CHANGELOG.md#v190).
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</td>
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</tr>
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<tr>
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<td>
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`query_range_path`
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</td>
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<td>
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`/api/v1/query_range`
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</td>
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<td>
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Performs PromQL/MetricsQL range query
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</td>
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</tr>
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<tr>
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<td>
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`health_path`
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</td>
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<td>
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`health`
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</td>
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<td>
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Absolute or relative URL address where to check availability of the datasource.
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</td>
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</tr>
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<tr>
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<td>
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`user`
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</td>
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<td>
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`USERNAME`
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</td>
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<td>
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BasicAuth username
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</td>
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</tr>
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<tr>
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<td>
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`password`
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</td>
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<td>
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`PASSWORD`
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</td>
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<td>
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BasicAuth password
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</td>
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</tr>
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<tr>
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<td>
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`timeout`
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</td>
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<td>
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`30s`
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</td>
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<td>
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Timeout for the requests, passed as a string
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</td>
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</tr>
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<tr>
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<td>
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`verify_tls`
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</td>
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<td>
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`false`
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</td>
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<td>
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Allows disabling TLS verification of the remote certificate.
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</td>
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</tr>
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<tr>
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<td>
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`bearer_token`
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</td>
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<td>
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`token`
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</td>
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<td>
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Token is passed in the standard format with header: `Authorization: bearer {token}`
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</td>
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</tr>
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<tr>
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<td>
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`extra_filters`
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</td>
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<td>
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`[]`
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</td>
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<td>
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List of strings with series selector. See: [Prometheus querying API enhancements](../../README.md##prometheus-querying-api-enhancements)
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</td>
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</tr>
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<tr>
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<td>
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`query_from_last_seen_timestamp`
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</td>
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<td>
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`False`
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</td>
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<td>
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If True, then query will be performed from the last seen timestamp for a given series. If False, then query will be performed from the start timestamp, based on a schedule period. Defaults to `False`. Useful for `infer` stages in case there were skipped `infer` calls prior to given.
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</td>
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</tr>
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<tr>
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<td>
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`latency_offset`
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</td>
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<td>
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`1ms`
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</td>
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<td>
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Introduced in [v1.15.1](https://docs.victoriametrics.com/anomaly-detection/changelog/#v1151), it allows overriding the default `-search.latencyOffset` [flag of VictoriaMetrics](https://docs.victoriametrics.com/?highlight=search.latencyOffset#list-of-command-line-flags) (30s). The default value is set to 1ms, which should help in cases where `sampling_frequency` is low (10-60s) and `sampling_frequency` equals `infer_every` in the [PeriodicScheduler](https://docs.victoriametrics.com/anomaly-detection/components/scheduler/?highlight=infer_every#periodic-scheduler). This prevents users from receiving `service - WARNING - [Scheduler [scheduler_alias]] No data available for inference.` warnings in logs and allows for consecutive `infer` calls without gaps. To restore the old behavior, set it equal to your `-search.latencyOffset` [flag value]((https://docs.victoriametrics.com/?highlight=search.latencyOffset#list-of-command-line-flags)).
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</td>
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</tr>
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</tbody>
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</table>
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Config file example:
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```yaml
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reader:
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class: "vm" # or "reader.vm.VmReader" until v1.13.0
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datasource_url: "https://play.victoriametrics.com/"
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tenant_id: "0:0"
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queries:
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ingestion_rate:
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expr: 'sum(rate(vm_rows_inserted_total[5m])) by (type) > 0'
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step: '1m' # can override global `sampling_period` on per-query level
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data_range: [0, 'inf']
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sampling_period: '1m'
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query_from_last_seen_timestamp: True # false by default
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latency_offset: '1ms'
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```
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### Healthcheck metrics
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`VmReader` exposes [several healthchecks metrics](./monitoring.md#reader-behaviour-metrics).
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