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chore: update dashboard (#6883)
* chore: update dashboard Signed-off-by: WenyXu <wenymedia@gmail.com> * chore: update json Signed-off-by: WenyXu <wenymedia@gmail.com> * chore: update json Signed-off-by: WenyXu <wenymedia@gmail.com> * chore: add desc Signed-off-by: WenyXu <wenymedia@gmail.com> --------- Signed-off-by: WenyXu <wenymedia@gmail.com>
This commit is contained in:
Weny Xu
GitHub
File diff suppressed because it is too large
Load Diff
@@ -87,6 +87,13 @@
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| Other Request P99 per Instance | `histogram_quantile(0.99, sum by(instance, pod, le, scheme, operation) (rate(opendal_operation_duration_seconds_bucket{instance=~"$datanode", operation!~"read\|write\|list\|Writer::write\|Writer::close\|Reader::read"}[$__rate_interval])))` | `timeseries` | Other Request P99 per Instance. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]` |
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| Opendal traffic | `sum by(instance, pod, scheme, operation) (rate(opendal_operation_bytes_sum{instance=~"$datanode"}[$__rate_interval]))` | `timeseries` | Total traffic as in bytes by instance and operation | `prometheus` | `decbytes` | `[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]` |
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| OpenDAL errors per Instance | `sum by(instance, pod, scheme, operation, error) (rate(opendal_operation_errors_total{instance=~"$datanode", error!="NotFound"}[$__rate_interval]))` | `timeseries` | OpenDAL error counts per Instance. | `prometheus` | -- | `[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]-[{{error}}]` |
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# Remote WAL
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| Title | Query | Type | Description | Datasource | Unit | Legend Format |
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| --- | --- | --- | --- | --- | --- | --- |
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| Triggered region flush total | `meta_triggered_region_flush_total` | `timeseries` | Triggered region flush total | `prometheus` | `none` | `{{pod}}-{{topic_name}}` |
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| Triggered region checkpoint total | `meta_triggered_region_checkpoint_total` | `timeseries` | Triggered region checkpoint total | `prometheus` | `none` | `{{pod}}-{{topic_name}}` |
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| Topic estimated replay size | `meta_topic_estimated_replay_size` | `timeseries` | Topic estimated max replay size | `prometheus` | `bytes` | `{{pod}}-{{topic_name}}` |
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| Kafka logstore's bytes traffic | `rate(greptime_logstore_kafka_client_bytes_total[$__rate_interval])` | `timeseries` | Kafka logstore's bytes traffic | `prometheus` | `bytes` | `{{pod}}-{{logstore}}` |
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# Metasrv
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| Title | Query | Type | Description | Datasource | Unit | Legend Format |
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| --- | --- | --- | --- | --- | --- | --- |
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@@ -103,6 +110,8 @@
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| Meta KV Ops Latency | `histogram_quantile(0.99, sum by(pod, le, op, target) (greptime_meta_kv_request_elapsed_bucket))` | `timeseries` | Gauge of load information of each datanode, collected via heartbeat between datanode and metasrv. This information is for metasrv to schedule workloads. | `prometheus` | `s` | `{{pod}}-{{op}} p99` |
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| Rate of meta KV Ops | `rate(greptime_meta_kv_request_elapsed_count[$__rate_interval])` | `timeseries` | Gauge of load information of each datanode, collected via heartbeat between datanode and metasrv. This information is for metasrv to schedule workloads. | `prometheus` | `none` | `{{pod}}-{{op}} p99` |
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| DDL Latency | `histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_create_tables_bucket))`<br/>`histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_create_table))`<br/>`histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_create_view))`<br/>`histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_create_flow))`<br/>`histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_drop_table))`<br/>`histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_alter_table))` | `timeseries` | Gauge of load information of each datanode, collected via heartbeat between datanode and metasrv. This information is for metasrv to schedule workloads. | `prometheus` | `s` | `CreateLogicalTables-{{step}} p90` |
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| Reconciliation stats | `greptime_meta_reconciliation_stats` | `timeseries` | Reconciliation stats | `prometheus` | `s` | `{{pod}}-{{table_type}}-{{type}}` |
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| Reconciliation steps | `histogram_quantile(0.9, greptime_meta_reconciliation_procedure_bucket)` | `timeseries` | Elapsed of Reconciliation steps | `prometheus` | `s` | `{{procedure_name}}-{{step}}-P90` |
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# Flownode
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| Title | Query | Type | Description | Datasource | Unit | Legend Format |
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| --- | --- | --- | --- | --- | --- | --- |
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@@ -802,6 +802,48 @@ groups:
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type: prometheus
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uid: ${metrics}
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legendFormat: '[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]-[{{error}}]'
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- title: Remote WAL
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panels:
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- title: Triggered region flush total
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type: timeseries
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description: Triggered region flush total
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unit: none
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queries:
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- expr: meta_triggered_region_flush_total
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datasource:
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type: prometheus
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uid: ${metrics}
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legendFormat: '{{pod}}-{{topic_name}}'
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- title: Triggered region checkpoint total
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type: timeseries
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description: Triggered region checkpoint total
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unit: none
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queries:
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- expr: meta_triggered_region_checkpoint_total
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datasource:
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type: prometheus
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uid: ${metrics}
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legendFormat: '{{pod}}-{{topic_name}}'
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- title: Topic estimated replay size
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type: timeseries
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description: Topic estimated max replay size
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unit: bytes
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queries:
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- expr: meta_topic_estimated_replay_size
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datasource:
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type: prometheus
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uid: ${metrics}
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legendFormat: '{{pod}}-{{topic_name}}'
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- title: Kafka logstore's bytes traffic
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type: timeseries
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description: Kafka logstore's bytes traffic
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unit: bytes
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queries:
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- expr: rate(greptime_logstore_kafka_client_bytes_total[$__rate_interval])
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datasource:
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type: prometheus
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uid: ${metrics}
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legendFormat: '{{pod}}-{{logstore}}'
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- title: Metasrv
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panels:
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- title: Region migration datanode
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@@ -948,6 +990,26 @@ groups:
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type: prometheus
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uid: ${metrics}
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legendFormat: AlterTable-{{step}} p90
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- title: Reconciliation stats
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type: timeseries
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description: Reconciliation stats
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unit: s
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queries:
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- expr: greptime_meta_reconciliation_stats
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datasource:
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type: prometheus
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uid: ${metrics}
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legendFormat: '{{pod}}-{{table_type}}-{{type}}'
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- title: Reconciliation steps
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type: timeseries
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description: 'Elapsed of Reconciliation steps '
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unit: s
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queries:
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- expr: histogram_quantile(0.9, greptime_meta_reconciliation_procedure_bucket)
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datasource:
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type: prometheus
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uid: ${metrics}
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legendFormat: '{{procedure_name}}-{{step}}-P90'
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- title: Flownode
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panels:
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- title: Flow Ingest / Output Rate
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File diff suppressed because it is too large
Load Diff
@@ -87,6 +87,13 @@
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| Other Request P99 per Instance | `histogram_quantile(0.99, sum by(instance, pod, le, scheme, operation) (rate(opendal_operation_duration_seconds_bucket{ operation!~"read\|write\|list\|Writer::write\|Writer::close\|Reader::read"}[$__rate_interval])))` | `timeseries` | Other Request P99 per Instance. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]` |
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| Opendal traffic | `sum by(instance, pod, scheme, operation) (rate(opendal_operation_bytes_sum{}[$__rate_interval]))` | `timeseries` | Total traffic as in bytes by instance and operation | `prometheus` | `decbytes` | `[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]` |
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| OpenDAL errors per Instance | `sum by(instance, pod, scheme, operation, error) (rate(opendal_operation_errors_total{ error!="NotFound"}[$__rate_interval]))` | `timeseries` | OpenDAL error counts per Instance. | `prometheus` | -- | `[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]-[{{error}}]` |
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# Remote WAL
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| Title | Query | Type | Description | Datasource | Unit | Legend Format |
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| --- | --- | --- | --- | --- | --- | --- |
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| Triggered region flush total | `meta_triggered_region_flush_total` | `timeseries` | Triggered region flush total | `prometheus` | `none` | `{{pod}}-{{topic_name}}` |
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| Triggered region checkpoint total | `meta_triggered_region_checkpoint_total` | `timeseries` | Triggered region checkpoint total | `prometheus` | `none` | `{{pod}}-{{topic_name}}` |
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| Topic estimated replay size | `meta_topic_estimated_replay_size` | `timeseries` | Topic estimated max replay size | `prometheus` | `bytes` | `{{pod}}-{{topic_name}}` |
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| Kafka logstore's bytes traffic | `rate(greptime_logstore_kafka_client_bytes_total[$__rate_interval])` | `timeseries` | Kafka logstore's bytes traffic | `prometheus` | `bytes` | `{{pod}}-{{logstore}}` |
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# Metasrv
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| Title | Query | Type | Description | Datasource | Unit | Legend Format |
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| --- | --- | --- | --- | --- | --- | --- |
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@@ -103,6 +110,8 @@
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| Meta KV Ops Latency | `histogram_quantile(0.99, sum by(pod, le, op, target) (greptime_meta_kv_request_elapsed_bucket))` | `timeseries` | Gauge of load information of each datanode, collected via heartbeat between datanode and metasrv. This information is for metasrv to schedule workloads. | `prometheus` | `s` | `{{pod}}-{{op}} p99` |
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| Rate of meta KV Ops | `rate(greptime_meta_kv_request_elapsed_count[$__rate_interval])` | `timeseries` | Gauge of load information of each datanode, collected via heartbeat between datanode and metasrv. This information is for metasrv to schedule workloads. | `prometheus` | `none` | `{{pod}}-{{op}} p99` |
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| DDL Latency | `histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_create_tables_bucket))`<br/>`histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_create_table))`<br/>`histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_create_view))`<br/>`histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_create_flow))`<br/>`histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_drop_table))`<br/>`histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_alter_table))` | `timeseries` | Gauge of load information of each datanode, collected via heartbeat between datanode and metasrv. This information is for metasrv to schedule workloads. | `prometheus` | `s` | `CreateLogicalTables-{{step}} p90` |
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| Reconciliation stats | `greptime_meta_reconciliation_stats` | `timeseries` | Reconciliation stats | `prometheus` | `s` | `{{pod}}-{{table_type}}-{{type}}` |
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| Reconciliation steps | `histogram_quantile(0.9, greptime_meta_reconciliation_procedure_bucket)` | `timeseries` | Elapsed of Reconciliation steps | `prometheus` | `s` | `{{procedure_name}}-{{step}}-P90` |
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# Flownode
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| Title | Query | Type | Description | Datasource | Unit | Legend Format |
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| --- | --- | --- | --- | --- | --- | --- |
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@@ -802,6 +802,48 @@ groups:
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type: prometheus
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uid: ${metrics}
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legendFormat: '[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]-[{{error}}]'
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- title: Remote WAL
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panels:
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- title: Triggered region flush total
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type: timeseries
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description: Triggered region flush total
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unit: none
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queries:
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- expr: meta_triggered_region_flush_total
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datasource:
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type: prometheus
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uid: ${metrics}
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legendFormat: '{{pod}}-{{topic_name}}'
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- title: Triggered region checkpoint total
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type: timeseries
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description: Triggered region checkpoint total
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unit: none
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queries:
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- expr: meta_triggered_region_checkpoint_total
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datasource:
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type: prometheus
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uid: ${metrics}
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legendFormat: '{{pod}}-{{topic_name}}'
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- title: Topic estimated replay size
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type: timeseries
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description: Topic estimated max replay size
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unit: bytes
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queries:
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- expr: meta_topic_estimated_replay_size
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datasource:
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type: prometheus
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uid: ${metrics}
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legendFormat: '{{pod}}-{{topic_name}}'
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- title: Kafka logstore's bytes traffic
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type: timeseries
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description: Kafka logstore's bytes traffic
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unit: bytes
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queries:
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- expr: rate(greptime_logstore_kafka_client_bytes_total[$__rate_interval])
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datasource:
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type: prometheus
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uid: ${metrics}
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legendFormat: '{{pod}}-{{logstore}}'
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- title: Metasrv
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panels:
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- title: Region migration datanode
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@@ -948,6 +990,26 @@ groups:
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type: prometheus
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uid: ${metrics}
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legendFormat: AlterTable-{{step}} p90
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- title: Reconciliation stats
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type: timeseries
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description: Reconciliation stats
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unit: s
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queries:
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- expr: greptime_meta_reconciliation_stats
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datasource:
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type: prometheus
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uid: ${metrics}
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legendFormat: '{{pod}}-{{table_type}}-{{type}}'
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- title: Reconciliation steps
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type: timeseries
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description: 'Elapsed of Reconciliation steps '
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unit: s
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queries:
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- expr: histogram_quantile(0.9, greptime_meta_reconciliation_procedure_bucket)
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datasource:
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type: prometheus
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uid: ${metrics}
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legendFormat: '{{procedure_name}}-{{step}}-P90'
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- title: Flownode
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panels:
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- title: Flow Ingest / Output Rate
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