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### Describe Your Changes docs/vmanomaly: updates for v1.16.3 ### Checklist The following checks are **mandatory**: - [x] My change adheres [VictoriaMetrics contributing guidelines](https://docs.victoriametrics.com/contributing/).
347 lines
13 KiB
Markdown
347 lines
13 KiB
Markdown
---
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title: Writer
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weight: 4
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menu:
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docs:
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parent: "vmanomaly-components"
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weight: 4
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aliases:
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- /anomaly-detection/components/writer.html
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---
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For exporting data, VictoriaMetrics Anomaly Detection (`vmanomaly`) primarily employs the [VmWriter](#vm-writer), which writes produced anomaly scores **(preserving initial labelset and optionally applying additional ones)** back to VictoriaMetrics. This writer is tailored for smooth data export within the VictoriaMetrics ecosystem.
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Future updates will introduce additional export methods, offering users more flexibility in data handling and integration.
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## VM writer
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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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`writer.vm.VmWriter` or `vm` starting from [`v1.13.0`](https://docs.victoriametrics.com/anomaly-detection/changelog/#v1130)
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</td>
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<td>
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Name of the class needed to enable writing to VictoriaMetrics or Prometheus. VmWriter 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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`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`, `multitenant` (starting from [v1.16.2](https://docs.victoriametrics.com/anomaly-detection/changelog/#v1162))
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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`. Starting from [v1.16.2](https://docs.victoriametrics.com/anomaly-detection/changelog/#v1162), `multitenant` [endpoint](https://docs.victoriametrics.com/cluster-victoriametrics/?highlight=writes#multitenancy-via-labels) is supported, to write data to multiple [tenants](https://docs.victoriametrics.com/cluster-victoriametrics/#multitenancy). See VictoriaMetrics Cluster [multitenancy docs](https://docs.victoriametrics.com/cluster-victoriametrics/#multitenancy)
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</td>
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</tr>
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<!-- Additional rows for metric_format -->
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<tr>
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<td rowspan="4">
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`metric_format`
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</td>
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<td>
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`__name__: "vmanomaly_$VAR"`
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</td>
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<td rowspan="4">
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Metrics to save the output (in metric names or labels). Must have `__name__` key. Must have a value with `$VAR` placeholder in it to distinguish between resulting metrics. Supported placeholders:
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<ul>
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<li>
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`$VAR` -- Variables that model provides, all models provide the following set: {"anomaly_score", "y", "yhat", "yhat_lower", "yhat_upper"}. Description of standard output is [here](https://docs.victoriametrics.com/anomaly-detection/components/models/#vmanomaly-output). Depending on [model type](https://docs.victoriametrics.com/anomaly-detection/components/models/) it can provide more metrics, like "trend", "seasonality" etc.
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</li>
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<li>
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`$QUERY_KEY` -- E.g. "ingestion_rate".
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</li>
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</ul>
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Other keys are supposed to be configured by the user to help identify generated metrics, e.g., specific config file name etc.
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More details on metric formatting are [here](#metrics-formatting).
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</td>
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</tr>
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<tr>
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<td>
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`for: "$QUERY_KEY"`
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</td>
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</tr>
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<tr>
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<td>
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`run: "test_metric_format"`
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</td>
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</tr>
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<tr>
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<td>
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`config: "io_vm_single.yaml"`
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</td>
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</tr>
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<!-- End of additional rows -->
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<tr>
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<td>
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`import_json_path`
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</td>
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<td>
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`/api/v1/import`
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</td>
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<td>
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Optional, to override the default import path
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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 the availability of the datasource. Optional, to override the default `/health` path.
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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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`5s`
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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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Verify TLS certificate. If `False`, it will not verify the TLS certificate.
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If `True`, it will verify the certificate using the system's CA store.
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If a path to a CA bundle file (like `ca.crt`), it will verify the certificate using the provided CA bundle.
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</td>
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</tr>
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<tr>
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<td>
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`tls_cert_file`
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</td>
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<td>
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`path/to/cert.crt`
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</td>
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<td>
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Path to a file with the client certificate, i.e. `client.crt`. Available since [v1.16.3](https://docs.victoriametrics.com/anomaly-detection/changelog/#v1163).
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</td>
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</tr>
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<tr>
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<td>
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`tls_key_file`
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</td>
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<td>
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`path/to/key.crt`
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</td>
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<td>
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Path to a file with the client certificate key, i.e. `client.key`. Available since [v1.16.3](https://docs.victoriametrics.com/anomaly-detection/changelog/#v1163).
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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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`bearer_token_file`
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</td>
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<td>
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`path_to_file`
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</td>
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<td>
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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)
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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 example:
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```yaml
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writer:
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class: "vm" # or "writer.vm.VmWriter" until v1.13.0
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datasource_url: "http://localhost:8428/"
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tenant_id: "0:0"
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metric_format:
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__name__: "vmanomaly_$VAR"
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for: "$QUERY_KEY"
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run: "test_metric_format"
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config: "io_vm_single.yaml"
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import_json_path: "/api/v1/import"
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health_path: "health"
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user: "foo"
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password: "bar"
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```
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### Multitenancy support
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> This feature applies to the VictoriaMetrics Cluster version only. Tenants are identified by either `accountID` or `accountID:projectID`. Starting with [v1.16.2](https://docs.victoriametrics.com/anomaly-detection/changelog/#v1162), the `multitenant` [endpoint](https://docs.victoriametrics.com/cluster-victoriametrics/?highlight=writes#multitenancy-via-labels) is supported for writing data across multiple [tenants](https://docs.victoriametrics.com/cluster-victoriametrics/#multitenancy). For more details, refer to the VictoriaMetrics Cluster [multitenancy documentation](https://docs.victoriametrics.com/cluster-victoriametrics/#multitenancy).
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Please note the different behaviors depending on the `tenant_id` value:
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1. **When `writer.tenant_id != 'multitenant'` (e.g., `"0:0"`) and `reader.tenant_id != 'multitenant'` (can be different but valid, like `"0:1")**:
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- The `vm_account_id` label is **not created** in the reader, **not persisted** to the writer, and is **not expected** in the output.
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- **Result**: Data is written successfully with no logs or errors.
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2. **When `writer.tenant_id = 'multitenant'` and `vm_project_id` is present in the label set**:
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- This typically happens when `reader.tenant_id` is also set to `multitenant`, meaning the `vm_account_id` label is stored in the results returned from the queries.
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- **Result**: Everything functions as expected. Data is written successfully with no logs or errors.
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3. **When `writer.tenant_id = 'multitenant'` but `vm_account_id` is missing** (e.g., due to aggregation in the reader or missing `keep_metric_names` in the query):
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- **Result**: The data is still written to `"0:0"`, but a warning is raised:
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```
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The label `vm_account_id` was not found in the label set of {query_result.key},
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but tenant_id='multitenant' is set in writer. The data will be written to the default tenant 0:0.
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Ensure that the query retains the necessary multi-tenant labels,
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or adjust the aggregation settings to preserve `vm_account_id` key in the label set.
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```
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4. **When `writer.tenant_id != 'multitenant'` (e.g., `"0:0"`) and `vm_account_id` exists in the label set**:
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- **Result**: Writing is allowed, but a warning is raised:
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```
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The label set for the metric {query_result.key} contains multi-tenancy labels,
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but the write endpoint is configured for single-tenant mode (tenant_id != 'multitenant').
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Either adjust the query in the reader to avoid multi-tenancy labels
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or ensure that reserved key `vm_account_id` is not explicitly set for single-tenant environments.
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```
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### mTLS protection
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Starting from [v1.16.3](https://docs.victoriametrics.com/anomaly-detection/changelog/#v1163), `vmanomaly` components such as [VmWriter](https://docs.victoriametrics.com/anomaly-detection/components/writer/#vm-writer) support [mTLS](https://en.wikipedia.org/wiki/Mutual_authentication) to ensure secure communication with [VictoriaMetrics Enterprise, configured with mTLS](https://docs.victoriametrics.com/#mtls-protection).
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For detailed guidance on configuring mTLS parameters such as `verify_tls`, `tls_cert_file`, and `tls_key_file`, please refer to the [mTLS protection section](https://docs.victoriametrics.com/anomaly-detection/components/reader/#mtls-protection) in the [Reader](https://docs.victoriametrics.com/anomaly-detection/components/reader/#vm-reader) documentation. The configuration principles apply consistently across all these `vmanomaly` components.
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### Healthcheck metrics
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`VmWriter` exposes [several healthchecks metrics](https://docs.victoriametrics.com/anomaly-detection/components/monitoring/#writer-behaviour-metrics).
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### Metrics formatting
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There should be 2 mandatory parameters set in `metric_format` - `__name__` and `for`.
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```yaml
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__name__: PREFIX1_$VAR
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for: PREFIX2_$QUERY_KEY
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```
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* for `__name__` parameter it will name metrics returned by models as `PREFIX1_anomaly_score`, `PREFIX1_yhat_lower`, etc. Vmanomaly output metrics names described [here](https://docs.victoriametrics.com/anomaly-detection/components/models/#vmanomaly-output)
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* for `for` parameter will add labels `PREFIX2_query_name_1`, `PREFIX2_query_name_2`, etc. Query names are set as aliases in config `reader` section in [`queries`](https://docs.victoriametrics.com/anomaly-detection/components/reader/#config-parameters) parameter.
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It is possible to specify other custom label names needed.
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For example:
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```yaml
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custom_label_1: label_name_1
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custom_label_2: label_name_2
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```
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Apart from specified labels, output metrics will return **labels inherited from input metrics returned by [queries](https://docs.victoriametrics.com/anomaly-detection/components/reader/#config-parameters)**.
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For example if input data contains labels such as `cpu=1, device=eth0, instance=node-exporter:9100` all these labels will be present in vmanomaly output metrics.
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So if metric_format section was set up like this:
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```yaml
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metric_format:
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__name__: "PREFIX1_$VAR"
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for: "PREFIX2_$QUERY_KEY"
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custom_label_1: label_name_1
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custom_label_2: label_name_2
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```
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It will return metrics that will look like:
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```promtextmetric
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{__name__="PREFIX1_anomaly_score", for="PREFIX2_query_name_1", custom_label_1="label_name_1", custom_label_2="label_name_2", cpu=1, device="eth0", instance="node-exporter:9100"}
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{__name__="PREFIX1_yhat_lower", for="PREFIX2_query_name_1", custom_label_1="label_name_1", custom_label_2="label_name_2", cpu=1, device="eth0", instance="node-exporter:9100"}
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{__name__="PREFIX1_anomaly_score", for="PREFIX2_query_name_2", custom_label_1="label_name_1", custom_label_2="label_name_2", cpu=1, device="eth0", instance="node-exporter:9100"}
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{__name__="PREFIX1_yhat_lower", for="PREFIX2_query_name_2", custom_label_1="label_name_1", custom_label_2="label_name_2", cpu=1, device="eth0", instance="node-exporter:9100"}
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```
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