This is documentation for the next version of Mimir. For the latest stable release, go to the latest version.

Documentation Grafana Mimir Manage Tools Mimirtool

Grafana Mimirtool

Mimirtool is a command-line tool that operators and tenants can use to execute a number of common tasks that involve Grafana Mimir or Grafana Cloud Metrics.

• The alertmanager command enables you to create, update, and delete tenant configurations in Grafana Mimir Alertmanager or Grafana Cloud Metrics.

  For more information about the alertmanager command, refer to Alertmanager.

• The rules command enables you to validate and lint Prometheus rule files and convert them for use in Grafana Mimir. You can also create, update, and delete rulegroups in Grafana Mimir or Grafana Cloud Metrics.

  For more information about the rules command, refer to Rules.

• The remote-read subcommand enables you to fetch statistics and series from remote-read APIs. You can write series from a remote-read API to a local TSDB file that you load into Prometheus.

  For more information about the remote-read command, refer to Remote-read.

• The analyze command extracts statistics about metric usage from Grafana or Hosted Grafana instances. You can also extract the same metrics from Grafana dashboard JSON files or Prometheus rule YAML files.

  For more information about the analyze command, refer to Analyze.

• The bucket-validation command verifies that an object storage bucket is suitable as a backend storage for Grafana Mimir.

  For more information about the bucket-validation command, refer to Bucket validation.

• The acl command generates the label-based access control header used in Grafana Enterprise Metrics and Grafana Cloud Metrics.

  For more information about the acl command, refer to ACL.

• The config command helps convert configuration files from Cortex to Grafana Mimir.

  For more information about the config command, refer to Config

• The backfill command uploads existing Prometheus TSDB blocks into Grafana Mimir.

  For more information about the backfill command, refer to Backfill

Mimirtool interacts with:

• User-facing APIs provided by Grafana Mimir.
• Backend storage components containing Grafana Mimir data.

Installation

To install Mimirtool with Homebrew on macOS, run brew install mimirtool.

To install Mimirtool in other environments, download the appropriate binary from the latest release for your operating system and architecture and make it executable.

Alternatively, use a command line tool such as curl to download mimirtool. For example, for Linux with the AMD64 architecture, use the following command:

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curl -fLo mimirtool https://github.com/grafana/mimir/releases/latest/download/mimirtool-linux-amd64
chmod +x mimirtool

Configuration options

For Mimirtools to interact with Grafana Mimir, Grafana Enterprise Metrics, Prometheus, or Grafana, set the following environment variables or CLI flags.

Commands

The following sections outline the commands that you can run against Grafana Mimir and Grafana Cloud Metrics.

Alertmanager

The following commands interact with Grafana Mimir Alertmanager configuration and alert template files.

Get Alertmanager configuration

The following command shows the current Alertmanager configuration.

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mimirtool alertmanager get

Alternatively, you can output the config and template files to a folder which can then be loaded back into alert manager at a later date. For example, the following command outputs the files to a folder called am

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mimirtool alertmanager get --output-dir="am"

The config file is named config.yaml and the template files ends in .tpl, where each template is written out to its own file. Note that using the --output-dir flag only writes the output to files and no longer print the config to the console.

Load Alertmanager configuration

The following command loads an Alertmanager configuration to the Alertmanager instance.

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mimirtool alertmanager load <config_file>
mimirtool alertmanager load <config_file> <template_files>...

Example

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mimirtool alertmanager load ./example_alertmanager_config.yaml ./example_alertmanager_template.tpl

./example_alertmanager_config.yaml:

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route:
  receiver: "example_receiver"
  group_by: ["example_groupby"]
receivers:
  - name: "example_receiver"

./example_alertmanager_template.tpl:

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{{ define "alert_customer_env_message" }}
  [{{ .CommonLabels.alertname }} | {{ .CommonLabels.customer }} | {{ .CommonLabels.environment }}]
{{ end }}

The input to [<template_files>...] accepts wildcard, i.e. *.tpl will include all the template files ending in .tpl. If we have used the previous command of exporting the config and templates to a directory, they can be loaded

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# assuming we have written the files out to the folder am
# mimirtool alertmanager get --output-dir="am"
mimirtool alertmanager load  am/config.yaml am/*.tpl

Delete Alertmanager configuration

The following command deletes the Alertmanager configuration in the Grafana Mimir Alertmanager.

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mimirtool alertmanager delete

Migrate Alertmanager configuration for UTF-8 in Mimir 2.12 and later

This requires mimirtool version 2.12 or later. To check your version of mimirtool, run mimirtool version.

In accordance with prometheus/prometheus#13095 and prometheus/alertmanager#3486, Mimir is adding support for UTF-8. To support UTF-8 in alerts, routes, silences, and inhibition rules, Alertmanager has added a new parser for matchers that has a number of backwards incompatible changes. More information about these changes can be found here.

The migrate-utf8 command migrates an existing Alertmanager configuration in preparation for when UTF-8 is enabled in a Mimir installation. To do this, it translates matchers that are incompatible with UTF-8 into equivalent matchers that are compatible. This translation is backwards compatible, does not change the behavior of existing matchers, and works even in Mimir installations that do not have UTF-8 enabled.

The need to migrate an Alertmanager configuration depends on whether it contains matchers incompatible with UTF-8. You can verify if an existing Alertmanager configuration needs to be migrated for UTF-8 by running the verify command:

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mimirtool alertmanager verify <config_file> [template_files...]

If the command succeeds without any warnings, the configuration is compatible with UTF-8 and you don’t need to migrate it.

However, if the command prints the following warning, then you need to migrate the Alertmanager configuration with the migrate-utf8 command.

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Alertmanager is moving to a new parser for labels and matchers, and this input is incompatible. Alertmanager has instead parsed the input using the classic matchers parser as a fallback. To make this input compatible with the UTF-8 matchers parser please make sure all regular expressions and values are double-quoted. If you are still seeing this message please open an issue.

The command takes as input an existing configuration and template files, and prints as output the migrated configuration and template files:

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mimirtool alertmanager migrate-utf8 <config_file> [template_files...]

You can also output the migrated configuration and template files to a folder which can be reviewed before being loaded back into the Alertmanager at a later time. We recommended you output the migrated files to a different folder than the original files so you always have the original files as a backup. For example, the following command outputs the migrated configuration and template files to a folder called migrated:

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mimirtool alertmanager migrate-utf8 <config_file> [template_files...] --output-dir="migrated"

Within the output dir, the configuration file is named config.yaml and the template files ends in .tpl, where each template is written out to its own file.

After you migrate an Alertmanager configuration, use the verify command to verify it:

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mimirtool alertmanager verify <config_file> [template_files...]

It should succeed without warnings.

You can also run the verify command with the --utf8-strict-mode flag to verify if an Alertmanager configuration is compatible with UTF-8:

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mimirtool alertmanager verify <config_file> [template_files...] --utf8-strict-mode

When using this flag, the verify command prints a warning with the text UTF-8 mode enabled to let you know the command is using UTF-8 strict mode to validate the Alertmanager configuration. Unlike when the flag is omitted, it doesn’t print warnings if a configuration is incompatible with UTF-8. Instead, the command exits with an error. For example:

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level=warn msg="UTF-8 strict mode enabled"
mimirtool: error: end of input: expected label value, try --help

If the command exits without error, and you’re satisfied with the changes made to the migrated configuration and template files, reload it using the load command.

Validate Alertmanager configuration

The following command validates an Alertmanager configuration file. It does not load the configuration to the Alertmanager instance.

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mimirtool alertmanager verify <config_file> [template_files...]

Alert verification

The following command verifies if alerts in an Alertmanager cluster are deduplicated. This command is useful for verifying the correct configuration when transferring from Prometheus to Grafana Mimir alert evaluation.

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mimirtool alerts verify

Render template

You can render your Alertmanager template with the render command.

The argument to the --template.glob option is a glob that expands to the alert template paths.

The argument to the --template.data option is a JSON file containing Alertmanager template data.

The argument to the --template.text option is a Go template. The command renders this template with the templates found be expanding --template-glob.

The following command render a template and prints it to the terminal. It assumes you have written the templates to the directory templates.

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mimirtool alertmanager render --template.glob 'templates/*' --template.data alert_data1.json --template.text '{{ template "my_message" . }}'

Rules

The rules command features sub-commands for working with Prometheus rule files and with the APIs in the Grafana Mimir ruler.

The commands in this section enable you to perform the following actions:

• Load and show Prometheus rule files
• Interact with individual rule groups in the Mimir ruler
• Manipulate local rule files

Some of the functionality that mimirtool rules offers is also available as a GitHub Action. For more information, refer to the documentation of Mimirtool Github Action.

Configuration options relevant to rules commands:

List rules

The following command retrieves the names of all rule groups in the Grafana Mimir instance and prints them to the terminal.

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mimirtool rules list

Print rules

The following command retrieves all rule groups in the Grafana Mimir instance and prints them to the terminal.

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mimirtool rules print

To save all the rules for editing and re-upload to Mimir, use the --output-dir option. The default output directory is the current directory. The output file has the format required by mimirtool rules load or mimirtool rules sync.

For example, to save the file in the rules subdirectory:

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mimirtool rules print --output-dir=rules

Get rule group

The following command retrieves a single rule group and prints it to the terminal.

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mimirtool rules get <namespace> <rule_group_name>

To save the rule group for editing and re-upload to Mimir, use the --output-dir option. The default output directory is the current directory. The output file has the format required by mimirtool rules load or mimirtool rules sync.

For example, to save the file in the rules subdirectory:

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mimirtool rules get <namespace> <rule_group_name> --output-dir=rules

Delete rule group

The following command deletes a rule group.

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mimirtool rules delete <namespace> <rule_group_name>

Load rule group

The following command loads each rule group from the files into Grafana Mimir. This command overwrites all existing rule groups with the same name.

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mimirtool rules load <file_path>...

Example

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mimirtool rules load ./example_rules_one.yaml

./example_rules_one.yaml:

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namespace: my_namespace
groups:
  - name: example
    interval: 5m
    rules:
      - record: job:http_inprogress_requests:sum
        expr: sum by (job) (http_inprogress_requests)

This command, like the other rules subcommands, can load multiple rule groups at once:

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mimirtool rules load ./example_rules_one.yaml ./example_rules_two.yaml

Delete a namespace

The following command deletes all of the rule groups in a namespace, including the namespace itself:

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mimirtool rules delete-namespace <namespace>

Lint

The lint command provides YAML and PromQL expression formatting within the rule file.

This command edits the rule file in place. To perform a trial run that does not make changes, you can use the dry run flag (-n).

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mimirtool rules lint <file_path>...

The format of the file is the same format as shown in rules load.

Prepare

This prepare command prepares a rules file that you upload to Grafana Mimir. It lints all PromQL expressions and adds a label to your PromQL query aggregations in the file. The format of the file is the same format as shown in rules load.

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mimirtool rules prepare <file_path>...

Configuration

Example

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mimirtool rules prepare ./example_rules_one.yaml

./example_rules_one.yaml:

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namespace: my_namespace
groups:
  - name: example
    interval: 5m
    rules:
      - record: job:http_inprogress_requests:sum
        expr: sum by (job) (http_inprogress_requests)

./example_rules_one.yaml.result:

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namespace: my_namespace
groups:
  - name: example
    interval: 5m
    rules:
      - record: job:http_inprogress_requests:sum
        # note the added cluster label
        expr: sum by(job, cluster) (http_inprogress_requests)

After the command runs, an output message indicates if the operation was successful:

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INFO[0000] SUCCESS: 1 rules found, 0 modified expressions

Check

The check command checks rules against the recommended best practices for rules. This command does not interact with your Grafana Mimir cluster.

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mimirtool rules check <file_path>...

Example

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mimirtool rules check rules.yaml

rules.yaml

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namespace: my_namespace
groups:
  - name: example
    interval: 5m
    rules:
      - record: job_http_inprogress_requests_sum
        expr: sum by (job) (http_inprogress_requests)

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ERRO[0000] bad recording rule name error="recording rule name does not match level:metric:operation format, must contain at least one colon" file=rules.yaml rule=job_http_inprogress_requests_sum ruleGroup=example

The format of the file is the same format as shown in rules load.

Diff

The following command compares rules against the rules in your Grafana Mimir cluster.

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mimirtool rules diff <file_path>...

The format of the file is the same format as shown in rules load.

To restrict the affected namespaces, use the --namespaces and --ignore-namespaces parameters as well as their RegEx variants --namespaces-regex and --ignore-namespaces-regex.

Configuration

Only one of the namespace selection flags can be specified.

Sync

The sync command compares rules against the rules in your Grafana Mimir cluster. The command applies any differences to your Grafana Mimir cluster.

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mimirtool rules sync <file_path>...

The format of the file is the same format as shown in rules load.

Configuration

Only one of the namespace selection flags can be specified.

Remote-read

Grafana Mimir exposes a remote read API which allows the system to access the stored series. The remote-read subcommand mimirtool enables you to interact with its API, and to determine which series are stored.

Stats

The remote-read stats command summarizes statistics of the stored series that match the selector.

Example

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mimirtool remote-read stats --selector '{job="node"}' --address http://demo.robustperception.io:9090 --remote-read-path /api/v1/read

Running the command results in the following output:

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INFO[0000] Create remote read client using endpoint 'http://demo.robustperception.io:9090/api/v1/read'
INFO[0000] Querying time from=2020-12-30T14:00:00Z to=2020-12-30T15:00:00Z with selector={job="node"}
INFO[0000] MIN TIME                           MAX TIME                           DURATION     NUM SAMPLES  NUM SERIES   NUM STALE NAN VALUES  NUM NAN VALUES
INFO[0000] 2020-12-30 14:00:00.629 +0000 UTC  2020-12-30 14:59:59.629 +0000 UTC  59m59s       159480       425          0                     0

Dump

The remote-read dump command prints all series and samples that match the selector.

Example

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mimirtool remote-read dump --selector 'up{job="node"}' --address http://demo.robustperception.io:9090 --remote-read-path /api/v1/read

Running the command results in the following output:

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{__name__="up", instance="demo.robustperception.io:9100", job="node"} 1 1609336914711
{__name__="up", instance="demo.robustperception.io:9100", job="node"} NaN 1609336924709 # StaleNaN
...

Export

The remote-read export command exports all series and samples that match the selector into a local TSDB. You can use local tooling such as prometheus and promtool to further analyze the TSDB.

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# Use Remote Read API to download all metrics with label job=name into local tsdb
mimirtool remote-read export --selector '{job="node"}' --address http://demo.robustperception.io:9090 --remote-read-path /api/v1/read --tsdb-path ./local-tsdb

Running the command results in the following output:

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INFO[0000] Create remote read client using endpoint 'http://demo.robustperception.io:9090/api/v1/read'
INFO[0000] Created TSDB in path './local-tsdb'
INFO[0000] Using existing TSDB in path './local-tsdb'
INFO[0000] Querying time from=2020-12-30T13:53:59Z to=2020-12-30T14:53:59Z with selector={job="node"}
INFO[0001] Store TSDB blocks in './local-tsdb'
INFO[0001] BLOCK ULID                  MIN TIME                       MAX TIME                       DURATION     NUM SAMPLES  NUM CHUNKS   NUM SERIES   SIZE
INFO[0001] 01ETT28D6B8948J87NZXY8VYD9  2020-12-30 13:53:59 +0000 UTC  2020-12-30 13:59:59 +0000 UTC  6m0.001s     15950        429          425          105KiB867B
INFO[0001] 01ETT28D91Z9SVRYF3DY0KNV41  2020-12-30 14:00:00 +0000 UTC  2020-12-30 14:53:58 +0000 UTC  53m58.001s   143530       1325         425          509KiB679B

Local TSDB examples

The following command uses promtool to analyze file contents.

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promtool tsdb analyze ./local-tsdb

The following command dumps all values of the TSDB.

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promtool tsdb dump ./local-tsdb

The following command runs a local Prometheus with the local TSDB.

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prometheus --storage.tsdb.path ./local-tsdb --config.file=<(echo "")

ACL

The acl command generates the label-based access control header used in Grafana Enterprise Metrics and Grafana Cloud Metrics.

Generate header

The following command enables you to generate a header that you can use to enforce access control rules in Grafana Enterprise Metrics or Grafana Cloud.

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mimirtool acl generate-header --id=<tenant_id> --rule=<promql_selector>

Example

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mimirtool acl generate-header --id=1234 --rule='{namespace="A"}'

Example output:

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The header to set:
X-Prom-Label-Policy: 1234:%7Bnamespace=%22A%22%7D

Analyze

You can analyze your Grafana or Hosted Grafana instance to determine which metrics are used and exported. You can also extract metrics from dashboard JSON files and rules YAML files.

Grafana

The following command runs against your Grafana instance, downloads its dashboards, and extracts the Prometheus metrics used in its queries. The output is a JSON file. You can use this file with analyze prometheus --grafana-metrics-file.

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mimirtool analyze grafana --address=<url>

Configuration

Example output file

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{
  "metricsUsed": [
    "apiserver_request:availability30d",
    "workqueue_depth",
    "workqueue_queue_duration_seconds_bucket"
  ],
  "dashboards": [
    {
      "slug": "",
      "uid": "09ec8aa1e996d6ffcd6817bbaff4db1b",
      "title": "Kubernetes / API server",
      "metrics": [
        "apiserver_request:availability30d",
        "apiserver_request_total",
        "cluster_quantile:apiserver_request_duration_seconds:histogram_quantile",
        "workqueue_depth",
        "workqueue_queue_duration_seconds_bucket"
      ],
      "parse_errors": ["unsupported panel type: \"news\""]
    }
  ]
}

Ruler

The following command runs against your Grafana Mimir, Grafana Enterprise Metrics, or Grafana Cloud Prometheus instance. The command fetches the rule groups and extracts the Prometheus metrics used in the rule queries. The output is a JSON file. You can use this file with analyze prometheus --ruler-metrics-file.

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mimirtool analyze ruler --address=<url> --id=<tenant_id>

Configuration

Example output file

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{
  "metricsUsed": [
    "apiserver_request_duration_seconds_bucket",
    "container_cpu_usage_seconds_total",
    "scheduler_scheduling_algorithm_duration_seconds_bucket"
  ],
  "ruleGroups": [
    {
      "namspace": "prometheus_rules",
      "name": "kube-apiserver.rules",
      "metrics": [
        "apiserver_request_duration_seconds_bucket",
        "apiserver_request_duration_seconds_count",
        "apiserver_request_total"
      ],
      "parse_errors": null
    }
  ]
}

Dashboard

The following command accepts Grafana dashboard JSON files as input and extracts Prometheus metrics used in the queries. The output is a JSON file. You can use the output file with analyze prometheus --grafana-metrics-file.

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mimirtool analyze dashboard <file>...

Configuration

Rule-file

The following command accepts Prometheus rule YAML files as input and extracts Prometheus metrics used in the queries. The output is a JSON file. You can use the output file with analyze prometheus --ruler-metrics-file.

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mimirtool analyze rule-file <file>

Configuration

Prometheus

The following command runs against your Grafana Mimir, Grafana Metrics Enterprise, Prometheus, or Cloud Prometheus instance. The command uses the output from a previous run of analyze grafana, analyze dashboard, analyze ruler or analyze rule-file to show the number of series in the Prometheus instance that are used in dashboards or rules, or both. This command also shows which metrics exist in Grafana Cloud that are not in dashboards or rules. The output is a JSON file.

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mimirtool analyze prometheus --address=<url> --id=<tenant_id>

Configuration

Example output

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{
  "total_active_series": 38184,
  "in_use_active_series": 14047,
  "additional_active_series": 24137,
  "in_use_metric_counts": [
    {
      "metric": "apiserver_request_duration_seconds_bucket",
      "count": 11400,
      "job_counts": [
        {
          "job": "apiserver",
          "count": 11400
        }
      ]
    },
    {
      "metric": "apiserver_request_total",
      "count": 684,
      "job_counts": [
        {
          "job": "apiserver",
          "count": 684
        }
      ]
    }
  ],
  "additional_metric_counts": [
    {
      "metric": "etcd_request_duration_seconds_bucket",
      "count": 2688,
      "job_counts": [
        {
          "job": "apiserver",
          "count": 2688
        }
      ]
    }
  ]
}

Bucket validation

The following command validates that the object store bucket works correctly.

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mimirtool bucket-validation

Config

Convert

The config convert command converts configuration parameters that work with Cortex v1.10.0 and above to parameters that work with Grafana Mimir v2.0.0. It supports converting both CLI flags and YAML configuration files.

Configuration

Changes to default values

mimirtool config convert helps you migrate from Cortex to Grafana Mimir. There are changes to the default values of some configuration parameters in Mimir v2.0.0 that you might not want to use as part of this migration:

For these parameters mimirtool config convert will output the Cortex default value even when the configuration parameter is not explicitly set in the input configuration. If in the input configuration you explicitly set the Cortex default value, and you have provided the --update-defaults flag, mimirtool config convert will not update the value to the Mimir default.

Example

The following example shows a command that converts Cortex query-frontend YAML configuration file and CLI flag to a Mimir-compatible YAML and CLI flag.

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mimirtool config convert --yaml-file=cortex.yaml --flags-file=cortex.flags --yaml-out=mimir.yaml --flags-out=mimir.flags

cortex.yaml input file:

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query_range:
  results_cache:
    cache:
      memcached:
        expiration: 10s # Expiration was removed in Grafana Mimir, so this parameter will be missing from the output YAML
        batch_size: 2048
        parallelism: 10
      memcached_client:
        max_idle_conns: 32

cortex.flags input file:

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-frontend.background.write-back-concurrency=45

After you run the command, the converted output should be:

mimir.yaml converted output file:

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frontend:
  results_cache:
    memcached:
      max_get_multi_batch_size: 2048
      max_get_multi_concurrency: 10
      max_idle_connections: 32

server:
  http_listen_port: 80

mimir.flags converted output file:

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-query-frontend.results-cache.memcached.max-async-concurrency=45

Verbose output

When you set the --verbose flag, the output explains which configuration parameters were removed and which default values were changed. The verbose output is printed to stderr.

The output includes the following entries:

• field is no longer supported: <yaml_path>

  This parameter was used in the input Cortex YAML file and removed from the output configuration.

• flag is no longer supported: <flag_name>

  This parameter was used in the input Cortex CLI flags file, but the parameter was removed in Grafana Mimir. The tool removed this CLI flag from the output configuration.

• using a new default for <yaml_path>: <new_value> (used to be <old_value>)

  The default value for a configuration parameter changed in Grafana Mimir. This parameter was not explicitly set in the input configuration files. When you run Grafana Mimir with the output configuration from mimirtool config convert Grafana Mimir uses the new default.

• default value for <yaml_path> changed: <new_value> (used to be <old_value>); not updating

  The default value for a configuration parameter that was set in the input configuration file has changed in Grafana Mimir. The tool has not converted the old default value to the new default value. To automatically update the default value to the new default value, pass the --update-defaults flag.

Extracting flags from Jsonnet

When using the Grafana Mimir Jsonnet library, all configuration uses flags set as object member key-value pairs. To perform conversion with mimirtool, you first need to extract the flags from the JSON manifested from the Jsonnet evaluation.

Use the following bash script to extract the arguments from a specific component:

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 #!/usr/bin/env bash

 set -euf -o pipefail

 function usage {
   cat <<EOF
 Extract the CLI flags from individual components.

 Usage:
   $0 <resources JSON> <component>

 Examples:
   $0 resources.json ingester
   $0 <(tk eval environments/default) distributor
   $0 <(jsonnet environments/default/main.jsonnet) query-frontend
 EOF
 }

 if ! command -v jq &>/dev/null; then
   echo "jq command not found in PATH"
   echo "To download jq, refer to https://stedolan.github.io/jq/download/."
 fi

 if [[ $# -ne 2 ]]; then
   usage
   exit 1
 fi

 jq -rf /dev/stdin -- "$1" <<EOF
 ..
 | if type == "object" and .metadata.name == "$2" then .spec.template.spec.containers[]?.args[] else null end
 | select(. != null)
 EOF

The first parameter of the script is a JSON file containing Kubernetes resources. The second parameter of the script is the name of a container.

To retrieve the arguments from the distributor for a Tanka environment:

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<PATH TO SCRIPT> <(tk eval environments/default) distributor

The script outputs results that are similar to the following:

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-consul.hostname=consul.cortex-to-mimir.svc.cluster.local:8500
-distributor.ha-tracker.enable=false
-distributor.ha-tracker.enable-for-all-users=true
-distributor.ha-tracker.etcd.endpoints=etcd-client.cortex-to-mimir.svc.cluster.local.:2379
-distributor.ha-tracker.prefix=prom_ha/
-distributor.ha-tracker.store=etcd
-distributor.health-check-ingesters=true
-distributor.ingestion-burst-size=200000
-distributor.ingestion-rate-limit=10000
-distributor.ingestion-rate-limit-strategy=global
-distributor.remote-timeout=20s
-distributor.replication-factor=3
-distributor.ring.consul.hostname=consul.cortex-to-mimir.svc.cluster.local:8500
-distributor.ring.prefix=
-distributor.shard-by-all-labels=true
-mem-ballast-size-bytes=1073741824
-ring.heartbeat-timeout=10m
-ring.prefix=
-runtime-config.file=/etc/cortex/overrides.yaml
-server.grpc.keepalive.max-connection-age=2m
-server.grpc.keepalive.max-connection-age-grace=5m
-server.grpc.keepalive.max-connection-idle=1m
-server.grpc.keepalive.min-time-between-pings=10s
-server.grpc.keepalive.ping-without-stream-allowed=true
-target=distributor
-validation.reject-old-samples=true
-validation.reject-old-samples.max-age=12h

Use the output of the script as input to run the mimirtool configuration conversion.

After conversion, you can use the following script to transform the converted flags back into JSON:

bash Copy

#!/usr/bin/env bash

set -euf -o pipefail

function usage {
 cat <<EOF
Transform Go flags into JSON key value pairs

Usage:
 $0 <flags file>

Examples:
 $0 flags.flags
EOF
}

if [[ $# -ne 1 ]]; then
 usage
 exit 1
fi

key_values=$(sed -E -e 's/^-*(.*)=(.*)$/  "\1": "\2",/' "$1")
printf "{\n%s\n}" "${key_values::-1}"

The only parameter of the script is a file containing the flags, with each flag on its own line.

Backfill

The backfill command uploads Prometheus TSDB blocks into Grafana Mimir, by using the block-upload API that is exposed by the compactor component.

If the command is interrupted, you can restart it. Mimirtool detects which blocks are already uploaded, and will only upload unfinished or new blocks.

The block-upload feature is disabled by default. To enable the block-upload feature for a user or an entire system, refer to Configure TSDB block upload. If block upload is not enabled for the user, mimirtool backfill will fail.

Example

bash Copy

mimirtool backfill --address=http://mimir-compactor/ --id=anonymous /var/prometheus/{01G803NFXZ0MVKN71GT91HMV3Z,01G8BQ8PRR4TAP7EXZVBNTRBZ4,01G8CB7GTTC5ZXY23WTXHSYQXQ}

The results of the backfill command are as follows:

console Copy

INFO[0000] Backfilling                              blocks="/var/prometheus/01G803NFXZ0MVKN71GT91HMV3Z,/var/prometheus/01G8BQ8PRR4TAP7EXZVBNTRBZ4,/var/prometheus/01G8CB7GTTC5ZXY23WTXHSYQXQ" user=anonymous
INFO[0000] making request to start block upload     block=01G803NFXZ0MVKN71GT91HMV3Z file=meta.json path=/var/prometheus/01G803NFXZ0MVKN71GT91HMV3Z
WARN[0000] block already exists on the server       path=/var/prometheus/01G803NFXZ0MVKN71GT91HMV3Z
INFO[0000] making request to start block upload     block=01G8BQ8PRR4TAP7EXZVBNTRBZ4 file=meta.json path=/var/prometheus/01G8BQ8PRR4TAP7EXZVBNTRBZ4
INFO[0000] uploading block file                     block=01G8BQ8PRR4TAP7EXZVBNTRBZ4 file=index path=/var/prometheus/01G8BQ8PRR4TAP7EXZVBNTRBZ4 size=259867
INFO[0000] uploading block file                     block=01G8BQ8PRR4TAP7EXZVBNTRBZ4 file=chunks/000001 path=/var/prometheus/01G8BQ8PRR4TAP7EXZVBNTRBZ4 size=5024391
INFO[0000] block uploaded successfully              block=01G8BQ8PRR4TAP7EXZVBNTRBZ4 path=/var/prometheus/01G8BQ8PRR4TAP7EXZVBNTRBZ4
INFO[0000] making request to start block upload     block=01G8CB7GTTC5ZXY23WTXHSYQXQ file=meta.json path=/var/prometheus/01G8CB7GTTC5ZXY23WTXHSYQXQ
INFO[0000] uploading block file                     block=01G8CB7GTTC5ZXY23WTXHSYQXQ file=index path=/var/prometheus/01G8CB7GTTC5ZXY23WTXHSYQXQ size=151181
INFO[0000] uploading block file                     block=01G8CB7GTTC5ZXY23WTXHSYQXQ file=chunks/000001 path=/var/prometheus/01G8CB7GTTC5ZXY23WTXHSYQXQ size=1986792
INFO[0000] block uploaded successfully              block=01G8CB7GTTC5ZXY23WTXHSYQXQ path=/var/prometheus/01G8CB7GTTC5ZXY23WTXHSYQXQ
INFO[0001] finished uploading blocks                already_exists=1 failed=0 succeeded=2

License

This software is licensed as AGPLv3. For more information, see LICENSE.