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VictoriaMetrics/docs/anomaly-detection/components/reader.md
Fred Navruzov 259f49089a
docs: vmanomaly - release notes v1.15.[6-9] (#6879) 
### Describe Your Changes

release notes for patches 1.15.6 - 9

### Checklist

The following checks are **mandatory**:

- [ ] My change adheres [VictoriaMetrics contributing
guidelines](https://docs.victoriametrics.com/contributing/).

(cherry picked from commit ac485a8486)
2024-08-27 15:44:07 +02:00

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---
title: Reader
weight: 2
menu:
docs:
parent: "vmanomaly-components"
weight: 2
aliases:
- /anomaly-detection/components/reader.html
---
<!--
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.
-->
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](https://docs.victoriametrics.com/metricsql/) expressions for aggregating, filtering and grouping your data, ensuring seamless integration and efficient data handling.
Future updates will introduce additional readers, expanding the range of data sources `vmanomaly` can work with.
## VM reader
> **Note**: Starting from [v1.13.0](https://docs.victoriametrics.com/anomaly-detection/changelog/#v1130) there is backward-compatible change of [`queries`](https://docs.victoriametrics.com/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.
Old format like
```yaml
# other config sections ...
reader:
class: 'vm'
datasource_url: 'http://localhost:8428' # source victoriametrics/prometheus
sampling_period: "10s" # set it <= min(infer_every) in schedulers section
queries:
# old format {query_alias: query_expr}, prior to 1.13, will be converted to a new format automatically
vmb: 'avg(vm_blocks)'
```
will be converted to a new one with a warning raised in logs:
```yaml
# other config sections ...
reader:
class: 'vm'
datasource_url: 'http://localhost:8428' # source victoriametrics/prometheus
sampling_period: '10s'
queries:
# old format {query_alias: query_expr}, prior to 1.13, will be converted to a new format automatically
vmb:
expr: 'avg(vm_blocks)' # initial MetricsQL expression
step: '10s' # individual step for this query, will be filled with `sampling_period` from the root level
data_range: ['-inf', 'inf'] # by default, no constraints applied on data range
# new query-level arguments will be added in backward-compatible way in future releases
```
### Per-query parameters
Starting from [v1.13.0](https://docs.victoriametrics.com/anomaly-detection/changelog/#v1130) there is change of [`queries`](https://docs.victoriametrics.com/anomaly-detection/components/reader?highlight=queries#vm-reader) arg format. Now each query alias supports the next (sub)fields:
- `expr` (string): MetricsQL/PromQL expression that defines an input for VmReader. As accepted by `/query_range?query=%s`. i.e. `avg(vm_blocks)`
- `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](https://docs.victoriametrics.com/anomaly-detection/components/models)** to run on.
> **Note**: if not set explicitly (or if older config style prior to [v1.13.0](https://docs.victoriametrics.com/anomaly-detection/changelog/#v1130)) is used, then it is set to reader-level `sampling_period` arg.
> **Note**: having **different** individual `step` args for queries (i.e. `30s` for `q1` and `2m` for `q2`) is not yet supported for [multivariate model](https://docs.victoriametrics.com/anomaly-detection/components/models/#multivariate-models) if you want to run it on several queries simultaneously (i.e. setting [`queries`](https://docs.victoriametrics.com/anomaly-detection/components/models/#queries) arg of a model to [`q1`, `q2`]).
- `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:
- **High anomaly scores** (>1) when the *data falls outside the expected range*, indicating a data constraint violation.
- **Lowest anomaly scores** (=0) when the *model's predictions (`yhat`) fall outside the expected range*, meaning uncertain predictions.
### Per-query config example
```yaml
reader:
class: 'vm'
sampling_period: '1m'
# other reader params ...
queries:
ingestion_rate:
expr: 'sum(rate(vm_rows_inserted_total[5m])) by (type) > 0'
step: '2m' # overrides global `sampling_period` of 1m
data_range: [10, 'inf'] # meaning only positive values > 10 are expected, i.e. a value `y` < 10 will trigger anomaly score > 1
```
### Config parameters
<table class="params">
<thead>
<tr>
<th>Parameter</th>
<th>Example</th>
<th>Description</th>
</tr>
</thead>
<tbody>
<tr>
<td>
`class`
</td>
<td>
`reader.vm.VmReader` (or `vm` starting from [v1.13.0](https://docs.victoriametrics.com/anomaly-detection/changelog/#v1130))
</td>
<td>
Name of the class needed to enable reading from VictoriaMetrics or Prometheus. VmReader is the default option, if not specified.
</td>
</tr>
<tr>
<td>
`queries`
</td>
<td>
See [per-query config example](#per-query-config-example) above
</td>
<td>
See [per-query config section](#per-query-parameters) above
</td>
</tr>
<tr>
<td>
`datasource_url`
</td>
<td>
`http://localhost:8481/`
</td>
<td>
Datasource URL address
</td>
</tr>
<tr>
<td>
`tenant_id`
</td>
<td>
`0:0`
</td>
<td>
For VictoriaMetrics Cluster version only, tenants are identified by accountID or accountID:projectID. See VictoriaMetrics Cluster [multitenancy docs](https://docs.victoriametrics.com/cluster-victoriametrics/#multitenancy)
</td>
</tr>
<tr>
<td>
`sampling_period`
</td>
<td>
`1h`
</td>
<td>
Frequency of the points returned. Will be converted to `/query_range?step=%s` param (in seconds). **Required** since [v1.9.0](https://docs.victoriametrics.com/anomaly-detection/changelog/#v190).
</td>
</tr>
<tr>
<td>
`query_range_path`
</td>
<td>
`/api/v1/query_range`
</td>
<td>
Performs PromQL/MetricsQL range query
</td>
</tr>
<tr>
<td>
`health_path`
</td>
<td>
`health`
</td>
<td>
Absolute or relative URL address where to check availability of the datasource.
</td>
</tr>
<tr>
<td>
`user`
</td>
<td>
`USERNAME`
</td>
<td>
BasicAuth username
</td>
</tr>
<tr>
<td>
`password`
</td>
<td>
`PASSWORD`
</td>
<td>
BasicAuth password
</td>
</tr>
<tr>
<td>
`timeout`
</td>
<td>
`30s`
</td>
<td>
Timeout for the requests, passed as a string
</td>
</tr>
<tr>
<td>
`verify_tls`
</td>
<td>
`false`
</td>
<td>
Allows disabling TLS verification of the remote certificate.
</td>
</tr>
<tr>
<td>
`bearer_token`
</td>
<td>
`token`
</td>
<td>
Token is passed in the standard format with header: `Authorization: bearer {token}`
</td>
</tr>
<tr>
<td>
`bearer_token_file`
</td>
<td>
`path_to_file`
</td>
<td>
Path to a file, which contains token, that is passed in the standard format with header: `Authorization: bearer {token}`. Available since [v1.15.9](https://docs.victoriametrics.com/anomaly-detection/changelog/#v1159)
</td>
</tr>
<tr>
<td>
`extra_filters`
</td>
<td>
`[]`
</td>
<td>
List of strings with series selector. See: [Prometheus querying API enhancements](https://docs.victoriametrics.com/##prometheus-querying-api-enhancements)
</td>
</tr>
<tr>
<td>
`query_from_last_seen_timestamp`
</td>
<td>
`False`
</td>
<td>
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.
</td>
</tr>
<tr>
<td>
`latency_offset`
</td>
<td>
`1ms`
</td>
<td>
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)).
</td>
</tr>
</tbody>
</table>
Config file example:
```yaml
reader:
class: "vm" # or "reader.vm.VmReader" until v1.13.0
datasource_url: "https://play.victoriametrics.com/"
tenant_id: "0:0"
queries:
ingestion_rate:
expr: 'sum(rate(vm_rows_inserted_total[5m])) by (type) > 0'
step: '1m' # can override global `sampling_period` on per-query level
data_range: [0, 'inf']
sampling_period: '1m'
query_from_last_seen_timestamp: True # false by default
latency_offset: '1ms'
```
### Healthcheck metrics
`VmReader` exposes [several healthchecks metrics](https://docs.victoriametrics.com/anomaly-detection/components/monitoring/#reader-behaviour-metrics).
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