feat: better metrics

* ci: refactor bump downstream versions and adds demo-scene

Signed-off-by: Dennis Zhuang <killme2008@gmail.com>

* chore: rename

Signed-off-by: Dennis Zhuang <killme2008@gmail.com>

* chore: style

Signed-off-by: Dennis Zhuang <killme2008@gmail.com>

* fix: forgot DEMO_REPO_TOKEN

Signed-off-by: Dennis Zhuang <killme2008@gmail.com>

* fix: demo repo name

Signed-off-by: Dennis Zhuang <killme2008@gmail.com>

---------

Signed-off-by: Dennis Zhuang <killme2008@gmail.com>

.github/workflows/release.yml

@@ -441,8 +441,8 @@ jobs:
           aws-region: ${{ vars.EC2_RUNNER_REGION }}
           github-token: ${{ secrets.GH_PERSONAL_ACCESS_TOKEN }}
 
-  bump-doc-version:
-    name: Bump doc version
+  bump-downstream-repo-versions:
+    name: Bump downstream repo versions
     if: ${{ github.event_name == 'push' || github.event_name == 'schedule' }}
     needs: [allocate-runners, publish-github-release]
     runs-on: ubuntu-latest
@@ -456,36 +456,16 @@ jobs:
           fetch-depth: 0
           persist-credentials: false
       - uses: ./.github/actions/setup-cyborg
-      - name: Bump doc version
+      - name: Bump downstream repo versions
         working-directory: cyborg
-        run: pnpm tsx bin/bump-doc-version.ts
-        env:
-          VERSION: ${{ needs.allocate-runners.outputs.version }}
-          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-          DOCS_REPO_TOKEN: ${{ secrets.DOCS_REPO_TOKEN }}
-
-  bump-website-version:
-    name: Bump website version
-    if: ${{ github.ref_type == 'tag' && !contains(github.ref_name, 'nightly') && github.event_name != 'schedule' }}
-    needs: [allocate-runners, publish-github-release]
-    runs-on: ubuntu-latest
-    # Permission reference: https://docs.github.com/en/actions/using-jobs/assigning-permissions-to-jobs
-    permissions:
-      issues: write # Allows the action to create issues for cyborg.
-      contents: write # Allows the action to create a release.
-    steps:
-      - uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
-          persist-credentials: false
-      - uses: ./.github/actions/setup-cyborg
-      - name: Bump website version
-        working-directory: cyborg
-        run: pnpm tsx bin/bump-website-version.ts
+        run: pnpm tsx bin/bump-versions.ts
         env:
+          TARGET_REPOS: website,docs,demo
           VERSION: ${{ needs.allocate-runners.outputs.version }}
           GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
           WEBSITE_REPO_TOKEN: ${{ secrets.WEBSITE_REPO_TOKEN }}
+          DOCS_REPO_TOKEN: ${{ secrets.DOCS_REPO_TOKEN }}
+          DEMO_REPO_TOKEN: ${{ secrets.DEMO_REPO_TOKEN }}
 
   bump-helm-charts-version:
     name: Bump helm charts version

Cargo.lock

@@ -5133,7 +5133,7 @@ dependencies = [
 [[package]]
 name = "greptime-proto"
 version = "0.1.0"
-source = "git+https://github.com/GreptimeTeam/greptime-proto.git?rev=454c52634c3bac27de10bf0d85d5533eed1cf03f#454c52634c3bac27de10bf0d85d5533eed1cf03f"
+source = "git+https://github.com/GreptimeTeam/greptime-proto.git?rev=2dca1dc67862d7b410838aef81232274c019b3f6#2dca1dc67862d7b410838aef81232274c019b3f6"
 dependencies = [
  "prost 0.13.5",
  "serde",

Cargo.toml

@@ -133,7 +133,7 @@ etcd-client = "0.14"
 fst = "0.4.7"
 futures = "0.3"
 futures-util = "0.3"
-greptime-proto = { git = "https://github.com/GreptimeTeam/greptime-proto.git", rev = "454c52634c3bac27de10bf0d85d5533eed1cf03f" }
+greptime-proto = { git = "https://github.com/GreptimeTeam/greptime-proto.git", rev = "2dca1dc67862d7b410838aef81232274c019b3f6" }
 hex = "0.4"
 http = "1"
 humantime = "2.1"

config/config.md

@@ -100,7 +100,7 @@
 | `query` | -- | -- | The query engine options. |
 | `query.parallelism` | Integer | `0` | Parallelism of the query engine.<br/>Default to 0, which means the number of CPU cores. |
 | `storage` | -- | -- | The data storage options. |
-| `storage.data_home` | String | `./greptimedb_data/` | The working home directory. |
+| `storage.data_home` | String | `./greptimedb_data` | The working home directory. |
 | `storage.type` | String | `File` | The storage type used to store the data.<br/>- `File`: the data is stored in the local file system.<br/>- `S3`: the data is stored in the S3 object storage.<br/>- `Gcs`: the data is stored in the Google Cloud Storage.<br/>- `Azblob`: the data is stored in the Azure Blob Storage.<br/>- `Oss`: the data is stored in the Aliyun OSS. |
 | `storage.cache_path` | String | Unset | Read cache configuration for object storage such as 'S3' etc, it's configured by default when using object storage. It is recommended to configure it when using object storage for better performance.<br/>A local file directory, defaults to `{data_home}`. An empty string means disabling. |
 | `storage.cache_capacity` | String | Unset | The local file cache capacity in bytes. If your disk space is sufficient, it is recommended to set it larger. |
@@ -314,7 +314,7 @@
 
 | Key | Type | Default | Descriptions |
 | --- | -----| ------- | ----------- |
-| `data_home` | String | `./greptimedb_data/metasrv/` | The working home directory. |
+| `data_home` | String | `./greptimedb_data` | The working home directory. |
 | `bind_addr` | String | `127.0.0.1:3002` | The bind address of metasrv. |
 | `server_addr` | String | `127.0.0.1:3002` | The communication server address for the frontend and datanode to connect to metasrv.<br/>If left empty or unset, the server will automatically use the IP address of the first network interface<br/>on the host, with the same port number as the one specified in `bind_addr`. |
 | `store_addrs` | Array | -- | Store server address default to etcd store.<br/>For postgres store, the format is:<br/>"password=password dbname=postgres user=postgres host=localhost port=5432"<br/>For etcd store, the format is:<br/>"127.0.0.1:2379" |
@@ -446,7 +446,7 @@
 | `query` | -- | -- | The query engine options. |
 | `query.parallelism` | Integer | `0` | Parallelism of the query engine.<br/>Default to 0, which means the number of CPU cores. |
 | `storage` | -- | -- | The data storage options. |
-| `storage.data_home` | String | `./greptimedb_data/` | The working home directory. |
+| `storage.data_home` | String | `./greptimedb_data` | The working home directory. |
 | `storage.type` | String | `File` | The storage type used to store the data.<br/>- `File`: the data is stored in the local file system.<br/>- `S3`: the data is stored in the S3 object storage.<br/>- `Gcs`: the data is stored in the Google Cloud Storage.<br/>- `Azblob`: the data is stored in the Azure Blob Storage.<br/>- `Oss`: the data is stored in the Aliyun OSS. |
 | `storage.cache_path` | String | Unset | Read cache configuration for object storage such as 'S3' etc, it's configured by default when using object storage. It is recommended to configure it when using object storage for better performance.<br/>A local file directory, defaults to `{data_home}`. An empty string means disabling. |
 | `storage.cache_capacity` | String | Unset | The local file cache capacity in bytes. If your disk space is sufficient, it is recommended to set it larger. |

config/datanode.example.toml

@@ -252,7 +252,7 @@ parallelism = 0
 ## The data storage options.
 [storage]
 ## The working home directory.
-data_home = "./greptimedb_data/"
+data_home = "./greptimedb_data"
 
 ## The storage type used to store the data.
 ## - `File`: the data is stored in the local file system.

config/metasrv.example.toml

@@ -1,5 +1,5 @@
 ## The working home directory.
-data_home = "./greptimedb_data/metasrv/"
+data_home = "./greptimedb_data"
 
 ## The bind address of metasrv.
 bind_addr = "127.0.0.1:3002"

config/standalone.example.toml

@@ -350,7 +350,7 @@ parallelism = 0
 ## The data storage options.
 [storage]
 ## The working home directory.
-data_home = "./greptimedb_data/"
+data_home = "./greptimedb_data"
 
 ## The storage type used to store the data.
 ## - `File`: the data is stored in the local file system.

cyborg/bin/bump-doc-version.ts

@@ -1,75 +0,0 @@
-/*
- * Copyright 2023 Greptime Team
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-import * as core from "@actions/core";
-import {obtainClient} from "@/common";
-
-async function triggerWorkflow(workflowId: string, version: string) {
-  const docsClient = obtainClient("DOCS_REPO_TOKEN")
-  try {
-    await docsClient.rest.actions.createWorkflowDispatch({
-      owner: "GreptimeTeam",
-      repo: "docs",
-      workflow_id: workflowId,
-      ref: "main",
-      inputs: {
-        version,
-      },
-    });
-    console.log(`Successfully triggered ${workflowId} workflow with version ${version}`);
-  } catch (error) {
-    core.setFailed(`Failed to trigger workflow: ${error.message}`);
-  }
-}
-
-function determineWorkflow(version: string): [string, string] {
-  // Check if it's a nightly version
-  if (version.includes('nightly')) {
-    return ['bump-nightly-version.yml', version];
-  }
-
-  const parts = version.split('.');
-
-  if (parts.length !== 3) {
-    throw new Error('Invalid version format');
-  }
-
-  // If patch version (last number) is 0, it's a major version
-  // Return only major.minor version
-  if (parts[2] === '0') {
-    return ['bump-version.yml', `${parts[0]}.${parts[1]}`];
-  }
-
-  // Otherwise it's a patch version, use full version
-  return ['bump-patch-version.yml', version];
-}
-
-const version = process.env.VERSION;
-if (!version) {
-  core.setFailed("VERSION environment variable is required");
-  process.exit(1);
-}
-
-// Remove 'v' prefix if exists
-const cleanVersion = version.startsWith('v') ? version.slice(1) : version;
-
-try {
-  const [workflowId, apiVersion] = determineWorkflow(cleanVersion);
-  triggerWorkflow(workflowId, apiVersion);
-} catch (error) {
-  core.setFailed(`Error processing version: ${error.message}`);
-  process.exit(1);
-}

cyborg/bin/bump-versions.ts

@@ -0,0 +1,156 @@
+/*
+ * Copyright 2023 Greptime Team
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+import * as core from "@actions/core";
+import {obtainClient} from "@/common";
+
+interface RepoConfig {
+  tokenEnv: string;
+  repo: string;
+  workflowLogic: (version: string) => [string, string] | null;
+}
+
+const REPO_CONFIGS: Record<string, RepoConfig> = {
+  website: {
+    tokenEnv: "WEBSITE_REPO_TOKEN",
+    repo: "website",
+    workflowLogic: (version: string) => {
+      // Skip nightly versions for website
+      if (version.includes('nightly')) {
+        console.log('Nightly version detected for website, skipping workflow trigger.');
+        return null;
+      }
+      return ['bump-patch-version.yml', version];
+    }
+  },
+  demo: {
+    tokenEnv: "DEMO_REPO_TOKEN",
+    repo: "demo-scene",
+    workflowLogic: (version: string) => {
+      // Skip nightly versions for demo
+      if (version.includes('nightly')) {
+        console.log('Nightly version detected for demo, skipping workflow trigger.');
+        return null;
+      }
+      return ['bump-patch-version.yml', version];
+    }
+  },
+  docs: {
+    tokenEnv: "DOCS_REPO_TOKEN",
+    repo: "docs",
+    workflowLogic: (version: string) => {
+      // Check if it's a nightly version
+      if (version.includes('nightly')) {
+        return ['bump-nightly-version.yml', version];
+      }
+
+      const parts = version.split('.');
+      if (parts.length !== 3) {
+        throw new Error('Invalid version format');
+      }
+
+      // If patch version (last number) is 0, it's a major version
+      // Return only major.minor version
+      if (parts[2] === '0') {
+        return ['bump-version.yml', `${parts[0]}.${parts[1]}`];
+      }
+
+      // Otherwise it's a patch version, use full version
+      return ['bump-patch-version.yml', version];
+    }
+  }
+};
+
+async function triggerWorkflow(repoConfig: RepoConfig, workflowId: string, version: string) {
+  const client = obtainClient(repoConfig.tokenEnv);
+  try {
+    await client.rest.actions.createWorkflowDispatch({
+      owner: "GreptimeTeam",
+      repo: repoConfig.repo,
+      workflow_id: workflowId,
+      ref: "main",
+      inputs: {
+        version,
+      },
+    });
+    console.log(`Successfully triggered ${workflowId} workflow for ${repoConfig.repo} with version ${version}`);
+  } catch (error) {
+    core.setFailed(`Failed to trigger workflow for ${repoConfig.repo}: ${error.message}`);
+    throw error;
+  }
+}
+
+async function processRepo(repoName: string, version: string) {
+  const repoConfig = REPO_CONFIGS[repoName];
+  if (!repoConfig) {
+    throw new Error(`Unknown repository: ${repoName}`);
+  }
+
+  try {
+    const workflowResult = repoConfig.workflowLogic(version);
+    if (workflowResult === null) {
+      // Skip this repo (e.g., nightly version for website)
+      return;
+    }
+
+    const [workflowId, apiVersion] = workflowResult;
+    await triggerWorkflow(repoConfig, workflowId, apiVersion);
+  } catch (error) {
+    core.setFailed(`Error processing ${repoName} with version ${version}: ${error.message}`);
+    throw error;
+  }
+}
+
+async function main() {
+  const version = process.env.VERSION;
+  if (!version) {
+    core.setFailed("VERSION environment variable is required");
+    process.exit(1);
+  }
+
+  // Remove 'v' prefix if exists
+  const cleanVersion = version.startsWith('v') ? version.slice(1) : version;
+
+  // Get target repositories from environment variable
+  // Default to both if not specified
+  const targetRepos = process.env.TARGET_REPOS?.split(',').map(repo => repo.trim()) || ['website', 'docs'];
+
+  console.log(`Processing version ${cleanVersion} for repositories: ${targetRepos.join(', ')}`);
+
+  const errors: string[] = [];
+
+  // Process each repository
+  for (const repo of targetRepos) {
+    try {
+      await processRepo(repo, cleanVersion);
+    } catch (error) {
+      errors.push(`${repo}: ${error.message}`);
+    }
+  }
+
+  if (errors.length > 0) {
+    core.setFailed(`Failed to process some repositories: ${errors.join('; ')}`);
+    process.exit(1);
+  }
+
+  console.log('All repositories processed successfully');
+}
+
+// Execute main function
+main().catch((error) => {
+  core.setFailed(`Unexpected error: ${error.message}`);
+  process.exit(1);
+});

cyborg/bin/bump-website-version.ts

@@ -1,57 +0,0 @@
-/*
- * Copyright 2023 Greptime Team
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-import * as core from "@actions/core";
-import {obtainClient} from "@/common";
-
-async function triggerWorkflow(workflowId: string, version: string) {
-  const websiteClient = obtainClient("WEBSITE_REPO_TOKEN")
-  try {
-    await websiteClient.rest.actions.createWorkflowDispatch({
-      owner: "GreptimeTeam",
-      repo: "website",
-      workflow_id: workflowId,
-      ref: "main",
-      inputs: {
-        version,
-      },
-    });
-    console.log(`Successfully triggered ${workflowId} workflow with version ${version}`);
-  } catch (error) {
-    core.setFailed(`Failed to trigger workflow: ${error.message}`);
-  }
-}
-
-const version = process.env.VERSION;
-if (!version) {
-  core.setFailed("VERSION environment variable is required");
-  process.exit(1);
-}
-
-// Remove 'v' prefix if exists
-const cleanVersion = version.startsWith('v') ? version.slice(1) : version;
-
-if (cleanVersion.includes('nightly')) {
-  console.log('Nightly version detected, skipping workflow trigger.');
-  process.exit(0);
-}
-
-try {
-  triggerWorkflow('bump-patch-version.yml', cleanVersion);
-} catch (error) {
-  core.setFailed(`Error processing version: ${error.message}`);
-  process.exit(1);
-}

grafana/dashboards/metrics/cluster/dashboard.md

@@ -60,7 +60,7 @@
 | Read Stage P99 per Instance | `histogram_quantile(0.99, sum by(instance, pod, le, stage) (rate(greptime_mito_read_stage_elapsed_bucket{instance=~"$datanode"}[$__rate_interval])))` | `timeseries` | Read Stage P99 per Instance. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{stage}}]` |
 | Write Stage P99 per Instance | `histogram_quantile(0.99, sum by(instance, pod, le, stage) (rate(greptime_mito_write_stage_elapsed_bucket{instance=~"$datanode"}[$__rate_interval])))` | `timeseries` | Write Stage P99 per Instance. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{stage}}]` |
 | Compaction OPS per Instance | `sum by(instance, pod) (rate(greptime_mito_compaction_total_elapsed_count{instance=~"$datanode"}[$__rate_interval]))` | `timeseries` | Compaction OPS per Instance. | `prometheus` | `ops` | `[{{ instance }}]-[{{pod}}]` |
-| Compaction Elapsed Time per Instance by Stage | `histogram_quantile(0.99, sum by(instance, pod, le, stage) (rate(greptime_mito_compaction_stage_elapsed_bucket{instance=~"$datanode"}[$__rate_interval])))`<br/>`sum by(instance, pod, le, stage) (rate(greptime_mito_compaction_stage_elapsed_sum{instance=~"$datanode"}[$__rate_interval]))/sum by(instance, pod, le, stage) (rate(greptime_mito_compaction_stage_elapsed_count{instance=~"$datanode"}[$__rate_interval]))` | `timeseries` | Compaction latency by stage | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{stage}}]-p99` |
+| Compaction Elapsed Time per Instance by Stage | `histogram_quantile(0.99, sum by(instance, pod, le, stage) (rate(greptime_mito_compaction_stage_elapsed_bucket{instance=~"$datanode"}[$__rate_interval])))`<br/>`sum by(instance, pod, stage) (rate(greptime_mito_compaction_stage_elapsed_sum{instance=~"$datanode"}[$__rate_interval]))/sum by(instance, pod, stage) (rate(greptime_mito_compaction_stage_elapsed_count{instance=~"$datanode"}[$__rate_interval]))` | `timeseries` | Compaction latency by stage | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{stage}}]-p99` |
 | Compaction P99 per Instance | `histogram_quantile(0.99, sum by(instance, pod, le,stage) (rate(greptime_mito_compaction_total_elapsed_bucket{instance=~"$datanode"}[$__rate_interval])))` | `timeseries` | Compaction P99 per Instance. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{stage}}]-compaction` |
 | WAL write size | `histogram_quantile(0.95, sum by(le,instance, pod) (rate(raft_engine_write_size_bucket[$__rate_interval])))`<br/>`histogram_quantile(0.99, sum by(le,instance,pod) (rate(raft_engine_write_size_bucket[$__rate_interval])))`<br/>`sum by (instance, pod)(rate(raft_engine_write_size_sum[$__rate_interval]))` | `timeseries` | Write-ahead logs write size as bytes. This chart includes stats of p95 and p99 size by instance, total WAL write rate. | `prometheus` | `bytes` | `[{{instance}}]-[{{pod}}]-req-size-p95` |
 | Cached Bytes per Instance | `greptime_mito_cache_bytes{instance=~"$datanode"}` | `timeseries` | Cached Bytes per Instance. | `prometheus` | `decbytes` | `[{{instance}}]-[{{pod}}]-[{{type}}]` |
@@ -69,7 +69,7 @@
 | Log Store op duration seconds | `histogram_quantile(0.99, sum by(le,logstore,optype,instance, pod) (rate(greptime_logstore_op_elapsed_bucket[$__rate_interval])))` | `timeseries` | Write-ahead log operations latency at p99 | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{logstore}}]-[{{optype}}]-p99` |
 | Inflight Flush | `greptime_mito_inflight_flush_count` | `timeseries` | Ongoing flush task count | `prometheus` | `none` | `[{{instance}}]-[{{pod}}]` |
 | Compaction Input/Output Bytes | `sum by(instance, pod) (greptime_mito_compaction_input_bytes)`<br/>`sum by(instance, pod) (greptime_mito_compaction_output_bytes)` | `timeseries` | Compaction oinput output bytes | `prometheus` | `bytes` | `[{{instance}}]-[{{pod}}]-input` |
-| Region Worker Handle Bulk Insert Requests | `histogram_quantile(0.95, sum by(le,instance, stage, pod) (rate(greptime_region_worker_handle_write_bucket[$__rate_interval])))`<br/>`sum by(le,instance, stage, pod) (rate(greptime_region_worker_handle_write_sum[$__rate_interval]))/sum by(le,instance, stage, pod) (rate(greptime_region_worker_handle_write_count[$__rate_interval]))` | `timeseries` | Per-stage elapsed time for region worker to handle bulk insert region requests. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{stage}}]-P95` |
+| Region Worker Handle Bulk Insert Requests | `histogram_quantile(0.95, sum by(le,instance, stage, pod) (rate(greptime_region_worker_handle_write_bucket[$__rate_interval])))`<br/>`sum by(instance, stage, pod) (rate(greptime_region_worker_handle_write_sum[$__rate_interval]))/sum by(instance, stage, pod) (rate(greptime_region_worker_handle_write_count[$__rate_interval]))` | `timeseries` | Per-stage elapsed time for region worker to handle bulk insert region requests. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{stage}}]-P95` |
 | Region Worker Convert Requests | `histogram_quantile(0.95, sum by(le, instance, stage, pod) (rate(greptime_datanode_convert_region_request_bucket[$__rate_interval])))`<br/>`sum by(le,instance, stage, pod) (rate(greptime_datanode_convert_region_request_sum[$__rate_interval]))/sum by(le,instance, stage, pod) (rate(greptime_datanode_convert_region_request_count[$__rate_interval]))` | `timeseries` | Per-stage elapsed time for region worker to decode requests. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{stage}}]-P95` |
 # OpenDAL
 | Title | Query | Type | Description | Datasource | Unit | Legend Format |
@@ -88,9 +88,19 @@
 # Metasrv
 | Title | Query | Type | Description | Datasource | Unit | Legend Format |
 | --- | --- | --- | --- | --- | --- | --- |
-| Region migration datanode | `greptime_meta_region_migration_stat{datanode_type="src"}`<br/>`greptime_meta_region_migration_stat{datanode_type="desc"}` | `state-timeline` | Counter of region migration by source and destination | `prometheus` | `none` | `from-datanode-{{datanode_id}}` |
-| Region migration error | `greptime_meta_region_migration_error` | `timeseries` | Counter of region migration error | `prometheus` | `none` | `__auto` |
-| Datanode load | `greptime_datanode_load` | `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` | `__auto` |
+| Region migration datanode | `greptime_meta_region_migration_stat{datanode_type="src"}`<br/>`greptime_meta_region_migration_stat{datanode_type="desc"}` | `status-history` | Counter of region migration by source and destination | `prometheus` | -- | `from-datanode-{{datanode_id}}` |
+| Region migration error | `greptime_meta_region_migration_error` | `timeseries` | Counter of region migration error | `prometheus` | `none` | `{{pod}}-{{state}}-{{error_type}}` |
+| Datanode load | `greptime_datanode_load` | `timeseries` | Gauge of load information of each datanode, collected via heartbeat between datanode and metasrv. This information is for metasrv to schedule workloads. | `prometheus` | `binBps` | `Datanode-{{datanode_id}}-writeload` |
+| Rate of SQL Executions (RDS) | `rate(greptime_meta_rds_pg_sql_execute_elapsed_ms_count[$__rate_interval])` | `timeseries` | Displays the rate of SQL executions processed by the Meta service using the RDS backend. | `prometheus` | `none` | `{{pod}} {{op}} {{type}} {{result}} ` |
+| SQL Execution Latency (RDS) | `histogram_quantile(0.90, sum by(pod, op, type, result, le) (rate(greptime_meta_rds_pg_sql_execute_elapsed_ms_bucket[$__rate_interval])))` | `timeseries` | Measures the response time of SQL executions via the RDS backend.  | `prometheus` | `ms` | `{{pod}} {{op}} {{type}} {{result}} p90` |
+| Handler Execution Latency | `histogram_quantile(0.90, sum by(pod, le, name) (
+  rate(greptime_meta_handler_execute_bucket[$__rate_interval])
+))` | `timeseries` | Shows latency of Meta handlers by pod and handler name, useful for monitoring handler performance and detecting latency spikes.<br/> | `prometheus` | `s` | `{{pod}} {{name}} p90` |
+| Heartbeat Packet Size | `histogram_quantile(0.9, sum by(pod, le) (greptime_meta_heartbeat_stat_memory_size_bucket))` | `timeseries` | Shows p90 heartbeat message sizes, helping track network usage and identify anomalies in heartbeat payload.<br/> | `prometheus` | `bytes` | `{{pod}}` |
+| Meta Heartbeat Receive Rate | `rate(greptime_meta_heartbeat_rate[$__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` | `s` | `{{pod}}` |
+| 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` |
+| 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` |
+| 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` |
 # Flownode
 | Title | Query | Type | Description | Datasource | Unit | Legend Format |
 | --- | --- | --- | --- | --- | --- | --- |

grafana/dashboards/metrics/cluster/dashboard.yaml

@@ -497,7 +497,7 @@ groups:
                 type: prometheus
                 uid: ${metrics}
               legendFormat: '[{{instance}}]-[{{pod}}]-[{{stage}}]-p99'
-            - expr: sum by(instance, pod, le, stage) (rate(greptime_mito_compaction_stage_elapsed_sum{instance=~"$datanode"}[$__rate_interval]))/sum by(instance, pod, le, stage) (rate(greptime_mito_compaction_stage_elapsed_count{instance=~"$datanode"}[$__rate_interval]))
+            - expr: sum by(instance, pod, stage) (rate(greptime_mito_compaction_stage_elapsed_sum{instance=~"$datanode"}[$__rate_interval]))/sum by(instance, pod, stage) (rate(greptime_mito_compaction_stage_elapsed_count{instance=~"$datanode"}[$__rate_interval]))
               datasource:
                 type: prometheus
                 uid: ${metrics}
@@ -607,7 +607,7 @@ groups:
                 type: prometheus
                 uid: ${metrics}
               legendFormat: '[{{instance}}]-[{{pod}}]-[{{stage}}]-P95'
-            - expr: sum by(le,instance, stage, pod) (rate(greptime_region_worker_handle_write_sum[$__rate_interval]))/sum by(le,instance, stage, pod) (rate(greptime_region_worker_handle_write_count[$__rate_interval]))
+            - expr: sum by(instance, stage, pod) (rate(greptime_region_worker_handle_write_sum[$__rate_interval]))/sum by(instance, stage, pod) (rate(greptime_region_worker_handle_write_count[$__rate_interval]))
               datasource:
                 type: prometheus
                 uid: ${metrics}
@@ -741,9 +741,8 @@ groups:
     - title: Metasrv
       panels:
         - title: Region migration datanode
-          type: state-timeline
+          type: status-history
           description: Counter of region migration by source and destination
-          unit: none
           queries:
             - expr: greptime_meta_region_migration_stat{datanode_type="src"}
               datasource:
@@ -764,17 +763,127 @@ groups:
               datasource:
                 type: prometheus
                 uid: ${metrics}
-              legendFormat: __auto
+              legendFormat: '{{pod}}-{{state}}-{{error_type}}'
         - title: Datanode load
           type: timeseries
           description: Gauge of load information of each datanode, collected via heartbeat between datanode and metasrv. This information is for metasrv to schedule workloads.
-          unit: none
+          unit: binBps
           queries:
             - expr: greptime_datanode_load
               datasource:
                 type: prometheus
                 uid: ${metrics}
-              legendFormat: __auto
+              legendFormat: Datanode-{{datanode_id}}-writeload
+        - title: Rate of SQL Executions (RDS)
+          type: timeseries
+          description: Displays the rate of SQL executions processed by the Meta service using the RDS backend.
+          unit: none
+          queries:
+            - expr: rate(greptime_meta_rds_pg_sql_execute_elapsed_ms_count[$__rate_interval])
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '{{pod}} {{op}} {{type}} {{result}} '
+        - title: SQL Execution Latency (RDS)
+          type: timeseries
+          description: 'Measures the response time of SQL executions via the RDS backend. '
+          unit: ms
+          queries:
+            - expr: histogram_quantile(0.90, sum by(pod, op, type, result, le) (rate(greptime_meta_rds_pg_sql_execute_elapsed_ms_bucket[$__rate_interval])))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '{{pod}} {{op}} {{type}} {{result}} p90'
+        - title: Handler Execution Latency
+          type: timeseries
+          description: |
+            Shows latency of Meta handlers by pod and handler name, useful for monitoring handler performance and detecting latency spikes.
+          unit: s
+          queries:
+            - expr: |-
+                histogram_quantile(0.90, sum by(pod, le, name) (
+                  rate(greptime_meta_handler_execute_bucket[$__rate_interval])
+                ))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '{{pod}} {{name}} p90'
+        - title: Heartbeat Packet Size
+          type: timeseries
+          description: |
+            Shows p90 heartbeat message sizes, helping track network usage and identify anomalies in heartbeat payload.
+          unit: bytes
+          queries:
+            - expr: histogram_quantile(0.9, sum by(pod, le) (greptime_meta_heartbeat_stat_memory_size_bucket))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '{{pod}}'
+        - title: Meta Heartbeat Receive Rate
+          type: timeseries
+          description: Gauge of load information of each datanode, collected via heartbeat between datanode and metasrv. This information is for metasrv to schedule workloads.
+          unit: s
+          queries:
+            - expr: rate(greptime_meta_heartbeat_rate[$__rate_interval])
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '{{pod}}'
+        - title: Meta KV Ops Latency
+          type: timeseries
+          description: Gauge of load information of each datanode, collected via heartbeat between datanode and metasrv. This information is for metasrv to schedule workloads.
+          unit: s
+          queries:
+            - expr: histogram_quantile(0.99, sum by(pod, le, op, target) (greptime_meta_kv_request_elapsed_bucket))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '{{pod}}-{{op}} p99'
+        - title: Rate of meta KV Ops
+          type: timeseries
+          description: Gauge of load information of each datanode, collected via heartbeat between datanode and metasrv. This information is for metasrv to schedule workloads.
+          unit: none
+          queries:
+            - expr: rate(greptime_meta_kv_request_elapsed_count[$__rate_interval])
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '{{pod}}-{{op}} p99'
+        - title: DDL Latency
+          type: timeseries
+          description: Gauge of load information of each datanode, collected via heartbeat between datanode and metasrv. This information is for metasrv to schedule workloads.
+          unit: s
+          queries:
+            - expr: histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_create_tables_bucket))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: CreateLogicalTables-{{step}} p90
+            - expr: histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_create_table))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: CreateTable-{{step}} p90
+            - expr: histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_create_view))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: CreateView-{{step}} p90
+            - expr: histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_create_flow))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: CreateFlow-{{step}} p90
+            - expr: histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_drop_table))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: DropTable-{{step}} p90
+            - expr: histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_alter_table))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: AlterTable-{{step}} p90
     - title: Flownode
       panels:
         - title: Flow Ingest / Output Rate

grafana/dashboards/metrics/standalone/dashboard.md

@@ -60,7 +60,7 @@
 | Read Stage P99 per Instance | `histogram_quantile(0.99, sum by(instance, pod, le, stage) (rate(greptime_mito_read_stage_elapsed_bucket{}[$__rate_interval])))` | `timeseries` | Read Stage P99 per Instance. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{stage}}]` |
 | Write Stage P99 per Instance | `histogram_quantile(0.99, sum by(instance, pod, le, stage) (rate(greptime_mito_write_stage_elapsed_bucket{}[$__rate_interval])))` | `timeseries` | Write Stage P99 per Instance. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{stage}}]` |
 | Compaction OPS per Instance | `sum by(instance, pod) (rate(greptime_mito_compaction_total_elapsed_count{}[$__rate_interval]))` | `timeseries` | Compaction OPS per Instance. | `prometheus` | `ops` | `[{{ instance }}]-[{{pod}}]` |
-| Compaction Elapsed Time per Instance by Stage | `histogram_quantile(0.99, sum by(instance, pod, le, stage) (rate(greptime_mito_compaction_stage_elapsed_bucket{}[$__rate_interval])))`<br/>`sum by(instance, pod, le, stage) (rate(greptime_mito_compaction_stage_elapsed_sum{}[$__rate_interval]))/sum by(instance, pod, le, stage) (rate(greptime_mito_compaction_stage_elapsed_count{}[$__rate_interval]))` | `timeseries` | Compaction latency by stage | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{stage}}]-p99` |
+| Compaction Elapsed Time per Instance by Stage | `histogram_quantile(0.99, sum by(instance, pod, le, stage) (rate(greptime_mito_compaction_stage_elapsed_bucket{}[$__rate_interval])))`<br/>`sum by(instance, pod, stage) (rate(greptime_mito_compaction_stage_elapsed_sum{}[$__rate_interval]))/sum by(instance, pod, stage) (rate(greptime_mito_compaction_stage_elapsed_count{}[$__rate_interval]))` | `timeseries` | Compaction latency by stage | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{stage}}]-p99` |
 | Compaction P99 per Instance | `histogram_quantile(0.99, sum by(instance, pod, le,stage) (rate(greptime_mito_compaction_total_elapsed_bucket{}[$__rate_interval])))` | `timeseries` | Compaction P99 per Instance. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{stage}}]-compaction` |
 | WAL write size | `histogram_quantile(0.95, sum by(le,instance, pod) (rate(raft_engine_write_size_bucket[$__rate_interval])))`<br/>`histogram_quantile(0.99, sum by(le,instance,pod) (rate(raft_engine_write_size_bucket[$__rate_interval])))`<br/>`sum by (instance, pod)(rate(raft_engine_write_size_sum[$__rate_interval]))` | `timeseries` | Write-ahead logs write size as bytes. This chart includes stats of p95 and p99 size by instance, total WAL write rate. | `prometheus` | `bytes` | `[{{instance}}]-[{{pod}}]-req-size-p95` |
 | Cached Bytes per Instance | `greptime_mito_cache_bytes{}` | `timeseries` | Cached Bytes per Instance. | `prometheus` | `decbytes` | `[{{instance}}]-[{{pod}}]-[{{type}}]` |
@@ -69,7 +69,7 @@
 | Log Store op duration seconds | `histogram_quantile(0.99, sum by(le,logstore,optype,instance, pod) (rate(greptime_logstore_op_elapsed_bucket[$__rate_interval])))` | `timeseries` | Write-ahead log operations latency at p99 | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{logstore}}]-[{{optype}}]-p99` |
 | Inflight Flush | `greptime_mito_inflight_flush_count` | `timeseries` | Ongoing flush task count | `prometheus` | `none` | `[{{instance}}]-[{{pod}}]` |
 | Compaction Input/Output Bytes | `sum by(instance, pod) (greptime_mito_compaction_input_bytes)`<br/>`sum by(instance, pod) (greptime_mito_compaction_output_bytes)` | `timeseries` | Compaction oinput output bytes | `prometheus` | `bytes` | `[{{instance}}]-[{{pod}}]-input` |
-| Region Worker Handle Bulk Insert Requests | `histogram_quantile(0.95, sum by(le,instance, stage, pod) (rate(greptime_region_worker_handle_write_bucket[$__rate_interval])))`<br/>`sum by(le,instance, stage, pod) (rate(greptime_region_worker_handle_write_sum[$__rate_interval]))/sum by(le,instance, stage, pod) (rate(greptime_region_worker_handle_write_count[$__rate_interval]))` | `timeseries` | Per-stage elapsed time for region worker to handle bulk insert region requests. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{stage}}]-P95` |
+| Region Worker Handle Bulk Insert Requests | `histogram_quantile(0.95, sum by(le,instance, stage, pod) (rate(greptime_region_worker_handle_write_bucket[$__rate_interval])))`<br/>`sum by(instance, stage, pod) (rate(greptime_region_worker_handle_write_sum[$__rate_interval]))/sum by(instance, stage, pod) (rate(greptime_region_worker_handle_write_count[$__rate_interval]))` | `timeseries` | Per-stage elapsed time for region worker to handle bulk insert region requests. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{stage}}]-P95` |
 | Region Worker Convert Requests | `histogram_quantile(0.95, sum by(le, instance, stage, pod) (rate(greptime_datanode_convert_region_request_bucket[$__rate_interval])))`<br/>`sum by(le,instance, stage, pod) (rate(greptime_datanode_convert_region_request_sum[$__rate_interval]))/sum by(le,instance, stage, pod) (rate(greptime_datanode_convert_region_request_count[$__rate_interval]))` | `timeseries` | Per-stage elapsed time for region worker to decode requests. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{stage}}]-P95` |
 # OpenDAL
 | Title | Query | Type | Description | Datasource | Unit | Legend Format |
@@ -88,9 +88,19 @@
 # Metasrv
 | Title | Query | Type | Description | Datasource | Unit | Legend Format |
 | --- | --- | --- | --- | --- | --- | --- |
-| Region migration datanode | `greptime_meta_region_migration_stat{datanode_type="src"}`<br/>`greptime_meta_region_migration_stat{datanode_type="desc"}` | `state-timeline` | Counter of region migration by source and destination | `prometheus` | `none` | `from-datanode-{{datanode_id}}` |
-| Region migration error | `greptime_meta_region_migration_error` | `timeseries` | Counter of region migration error | `prometheus` | `none` | `__auto` |
-| Datanode load | `greptime_datanode_load` | `timeseries` | Gauge of load information of each datanode, collected via heartbeat between datanode and metasrv. This information is for metasrv to schedule workloads. | `prometheus` | `none` | `__auto` |
+| Region migration datanode | `greptime_meta_region_migration_stat{datanode_type="src"}`<br/>`greptime_meta_region_migration_stat{datanode_type="desc"}` | `status-history` | Counter of region migration by source and destination | `prometheus` | -- | `from-datanode-{{datanode_id}}` |
+| Region migration error | `greptime_meta_region_migration_error` | `timeseries` | Counter of region migration error | `prometheus` | `none` | `{{pod}}-{{state}}-{{error_type}}` |
+| Datanode load | `greptime_datanode_load` | `timeseries` | Gauge of load information of each datanode, collected via heartbeat between datanode and metasrv. This information is for metasrv to schedule workloads. | `prometheus` | `binBps` | `Datanode-{{datanode_id}}-writeload` |
+| Rate of SQL Executions (RDS) | `rate(greptime_meta_rds_pg_sql_execute_elapsed_ms_count[$__rate_interval])` | `timeseries` | Displays the rate of SQL executions processed by the Meta service using the RDS backend. | `prometheus` | `none` | `{{pod}} {{op}} {{type}} {{result}} ` |
+| SQL Execution Latency (RDS) | `histogram_quantile(0.90, sum by(pod, op, type, result, le) (rate(greptime_meta_rds_pg_sql_execute_elapsed_ms_bucket[$__rate_interval])))` | `timeseries` | Measures the response time of SQL executions via the RDS backend.  | `prometheus` | `ms` | `{{pod}} {{op}} {{type}} {{result}} p90` |
+| Handler Execution Latency | `histogram_quantile(0.90, sum by(pod, le, name) (
+  rate(greptime_meta_handler_execute_bucket[$__rate_interval])
+))` | `timeseries` | Shows latency of Meta handlers by pod and handler name, useful for monitoring handler performance and detecting latency spikes.<br/> | `prometheus` | `s` | `{{pod}} {{name}} p90` |
+| Heartbeat Packet Size | `histogram_quantile(0.9, sum by(pod, le) (greptime_meta_heartbeat_stat_memory_size_bucket))` | `timeseries` | Shows p90 heartbeat message sizes, helping track network usage and identify anomalies in heartbeat payload.<br/> | `prometheus` | `bytes` | `{{pod}}` |
+| Meta Heartbeat Receive Rate | `rate(greptime_meta_heartbeat_rate[$__rate_interval])` | `timeseries` | Gauge of load information of each datanode, collected via heartbeat between datanode and metasrv. This information is for metasrv to schedule workloads. | `prometheus` | `s` | `{{pod}}` |
+| Meta KV Ops Latency | `histogram_quantile(0.99, sum by(pod, le, op, target) (greptime_meta_kv_request_elapsed_bucket))` | `timeseries` | Gauge of load information of each datanode, collected via heartbeat between datanode and metasrv. This information is for metasrv to schedule workloads. | `prometheus` | `s` | `{{pod}}-{{op}} p99` |
+| Rate of meta KV Ops | `rate(greptime_meta_kv_request_elapsed_count[$__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` |
+| 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` |
 # Flownode
 | Title | Query | Type | Description | Datasource | Unit | Legend Format |
 | --- | --- | --- | --- | --- | --- | --- |

grafana/dashboards/metrics/standalone/dashboard.yaml

@@ -497,7 +497,7 @@ groups:
                 type: prometheus
                 uid: ${metrics}
               legendFormat: '[{{instance}}]-[{{pod}}]-[{{stage}}]-p99'
-            - expr: sum by(instance, pod, le, stage) (rate(greptime_mito_compaction_stage_elapsed_sum{}[$__rate_interval]))/sum by(instance, pod, le, stage) (rate(greptime_mito_compaction_stage_elapsed_count{}[$__rate_interval]))
+            - expr: sum by(instance, pod, stage) (rate(greptime_mito_compaction_stage_elapsed_sum{}[$__rate_interval]))/sum by(instance, pod, stage) (rate(greptime_mito_compaction_stage_elapsed_count{}[$__rate_interval]))
               datasource:
                 type: prometheus
                 uid: ${metrics}
@@ -607,7 +607,7 @@ groups:
                 type: prometheus
                 uid: ${metrics}
               legendFormat: '[{{instance}}]-[{{pod}}]-[{{stage}}]-P95'
-            - expr: sum by(le,instance, stage, pod) (rate(greptime_region_worker_handle_write_sum[$__rate_interval]))/sum by(le,instance, stage, pod) (rate(greptime_region_worker_handle_write_count[$__rate_interval]))
+            - expr: sum by(instance, stage, pod) (rate(greptime_region_worker_handle_write_sum[$__rate_interval]))/sum by(instance, stage, pod) (rate(greptime_region_worker_handle_write_count[$__rate_interval]))
               datasource:
                 type: prometheus
                 uid: ${metrics}
@@ -741,9 +741,8 @@ groups:
     - title: Metasrv
       panels:
         - title: Region migration datanode
-          type: state-timeline
+          type: status-history
           description: Counter of region migration by source and destination
-          unit: none
           queries:
             - expr: greptime_meta_region_migration_stat{datanode_type="src"}
               datasource:
@@ -764,17 +763,127 @@ groups:
               datasource:
                 type: prometheus
                 uid: ${metrics}
-              legendFormat: __auto
+              legendFormat: '{{pod}}-{{state}}-{{error_type}}'
         - title: Datanode load
           type: timeseries
           description: Gauge of load information of each datanode, collected via heartbeat between datanode and metasrv. This information is for metasrv to schedule workloads.
-          unit: none
+          unit: binBps
           queries:
             - expr: greptime_datanode_load
               datasource:
                 type: prometheus
                 uid: ${metrics}
-              legendFormat: __auto
+              legendFormat: Datanode-{{datanode_id}}-writeload
+        - title: Rate of SQL Executions (RDS)
+          type: timeseries
+          description: Displays the rate of SQL executions processed by the Meta service using the RDS backend.
+          unit: none
+          queries:
+            - expr: rate(greptime_meta_rds_pg_sql_execute_elapsed_ms_count[$__rate_interval])
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '{{pod}} {{op}} {{type}} {{result}} '
+        - title: SQL Execution Latency (RDS)
+          type: timeseries
+          description: 'Measures the response time of SQL executions via the RDS backend. '
+          unit: ms
+          queries:
+            - expr: histogram_quantile(0.90, sum by(pod, op, type, result, le) (rate(greptime_meta_rds_pg_sql_execute_elapsed_ms_bucket[$__rate_interval])))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '{{pod}} {{op}} {{type}} {{result}} p90'
+        - title: Handler Execution Latency
+          type: timeseries
+          description: |
+            Shows latency of Meta handlers by pod and handler name, useful for monitoring handler performance and detecting latency spikes.
+          unit: s
+          queries:
+            - expr: |-
+                histogram_quantile(0.90, sum by(pod, le, name) (
+                  rate(greptime_meta_handler_execute_bucket[$__rate_interval])
+                ))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '{{pod}} {{name}} p90'
+        - title: Heartbeat Packet Size
+          type: timeseries
+          description: |
+            Shows p90 heartbeat message sizes, helping track network usage and identify anomalies in heartbeat payload.
+          unit: bytes
+          queries:
+            - expr: histogram_quantile(0.9, sum by(pod, le) (greptime_meta_heartbeat_stat_memory_size_bucket))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '{{pod}}'
+        - title: Meta Heartbeat Receive Rate
+          type: timeseries
+          description: Gauge of load information of each datanode, collected via heartbeat between datanode and metasrv. This information is for metasrv to schedule workloads.
+          unit: s
+          queries:
+            - expr: rate(greptime_meta_heartbeat_rate[$__rate_interval])
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '{{pod}}'
+        - title: Meta KV Ops Latency
+          type: timeseries
+          description: Gauge of load information of each datanode, collected via heartbeat between datanode and metasrv. This information is for metasrv to schedule workloads.
+          unit: s
+          queries:
+            - expr: histogram_quantile(0.99, sum by(pod, le, op, target) (greptime_meta_kv_request_elapsed_bucket))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '{{pod}}-{{op}} p99'
+        - title: Rate of meta KV Ops
+          type: timeseries
+          description: Gauge of load information of each datanode, collected via heartbeat between datanode and metasrv. This information is for metasrv to schedule workloads.
+          unit: none
+          queries:
+            - expr: rate(greptime_meta_kv_request_elapsed_count[$__rate_interval])
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '{{pod}}-{{op}} p99'
+        - title: DDL Latency
+          type: timeseries
+          description: Gauge of load information of each datanode, collected via heartbeat between datanode and metasrv. This information is for metasrv to schedule workloads.
+          unit: s
+          queries:
+            - expr: histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_create_tables_bucket))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: CreateLogicalTables-{{step}} p90
+            - expr: histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_create_table))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: CreateTable-{{step}} p90
+            - expr: histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_create_view))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: CreateView-{{step}} p90
+            - expr: histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_create_flow))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: CreateFlow-{{step}} p90
+            - expr: histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_drop_table))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: DropTable-{{step}} p90
+            - expr: histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_alter_table))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: AlterTable-{{step}} p90
     - title: Flownode
       panels:
         - title: Flow Ingest / Output Rate

src/client/src/client.rs

@@ -167,9 +167,7 @@ impl Client {
 
         let client = FlightServiceClient::new(channel)
             .max_decoding_message_size(self.max_grpc_recv_message_size())
-            .max_encoding_message_size(self.max_grpc_send_message_size())
-            .accept_compressed(CompressionEncoding::Zstd)
-            .send_compressed(CompressionEncoding::Zstd);
+            .max_encoding_message_size(self.max_grpc_send_message_size());
 
         Ok(FlightClient { addr, client })
     }
@@ -178,9 +176,7 @@ impl Client {
         let (addr, channel) = self.find_channel()?;
         let client = PbRegionClient::new(channel)
             .max_decoding_message_size(self.max_grpc_recv_message_size())
-            .max_encoding_message_size(self.max_grpc_send_message_size())
-            .accept_compressed(CompressionEncoding::Zstd)
-            .send_compressed(CompressionEncoding::Zstd);
+            .max_encoding_message_size(self.max_grpc_send_message_size());
         Ok((addr, client))
     }
 

src/cmd/src/datanode.rs

@@ -14,12 +14,13 @@
 
 pub mod builder;
 
+use std::path::Path;
 use std::time::Duration;
 
 use async_trait::async_trait;
 use clap::Parser;
 use common_config::Configurable;
-use common_telemetry::logging::TracingOptions;
+use common_telemetry::logging::{TracingOptions, DEFAULT_LOGGING_DIR};
 use common_telemetry::{info, warn};
 use common_wal::config::DatanodeWalConfig;
 use datanode::datanode::Datanode;
@@ -248,6 +249,14 @@ impl StartCommand {
             raft_engine_config.dir.replace(wal_dir.clone());
         }
 
+        // If the logging dir is not set, use the default logs dir in the data home.
+        if opts.logging.dir.is_empty() {
+            opts.logging.dir = Path::new(&opts.storage.data_home)
+                .join(DEFAULT_LOGGING_DIR)
+                .to_string_lossy()
+                .to_string();
+        }
+
         if let Some(http_addr) = &self.http_addr {
             opts.http.addr.clone_from(http_addr);
         }

src/cmd/src/flownode.rs

@@ -12,6 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
+use std::path::Path;
 use std::sync::Arc;
 use std::time::Duration;
 
@@ -21,7 +22,7 @@ use catalog::kvbackend::{CachedKvBackendBuilder, KvBackendCatalogManager, MetaKv
 use clap::Parser;
 use client::client_manager::NodeClients;
 use common_base::Plugins;
-use common_config::Configurable;
+use common_config::{Configurable, DEFAULT_DATA_HOME};
 use common_grpc::channel_manager::ChannelConfig;
 use common_meta::cache::{CacheRegistryBuilder, LayeredCacheRegistryBuilder};
 use common_meta::heartbeat::handler::invalidate_table_cache::InvalidateCacheHandler;
@@ -30,7 +31,7 @@ use common_meta::heartbeat::handler::HandlerGroupExecutor;
 use common_meta::key::flow::FlowMetadataManager;
 use common_meta::key::TableMetadataManager;
 use common_telemetry::info;
-use common_telemetry::logging::TracingOptions;
+use common_telemetry::logging::{TracingOptions, DEFAULT_LOGGING_DIR};
 use common_version::{short_version, version};
 use flow::{
     get_flow_auth_options, FlownodeBuilder, FlownodeInstance, FlownodeServiceBuilder,
@@ -186,6 +187,14 @@ impl StartCommand {
             opts.logging.dir.clone_from(dir);
         }
 
+        // If the logging dir is not set, use the default logs dir in the data home.
+        if opts.logging.dir.is_empty() {
+            opts.logging.dir = Path::new(DEFAULT_DATA_HOME)
+                .join(DEFAULT_LOGGING_DIR)
+                .to_string_lossy()
+                .to_string();
+        }
+
         if global_options.log_level.is_some() {
             opts.logging.level.clone_from(&global_options.log_level);
         }

src/cmd/src/frontend.rs

@@ -12,6 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
+use std::path::Path;
 use std::sync::Arc;
 use std::time::Duration;
 
@@ -22,14 +23,14 @@ use catalog::kvbackend::{CachedKvBackendBuilder, KvBackendCatalogManager, MetaKv
 use clap::Parser;
 use client::client_manager::NodeClients;
 use common_base::Plugins;
-use common_config::Configurable;
+use common_config::{Configurable, DEFAULT_DATA_HOME};
 use common_grpc::channel_manager::ChannelConfig;
 use common_meta::cache::{CacheRegistryBuilder, LayeredCacheRegistryBuilder};
 use common_meta::heartbeat::handler::invalidate_table_cache::InvalidateCacheHandler;
 use common_meta::heartbeat::handler::parse_mailbox_message::ParseMailboxMessageHandler;
 use common_meta::heartbeat::handler::HandlerGroupExecutor;
 use common_telemetry::info;
-use common_telemetry::logging::TracingOptions;
+use common_telemetry::logging::{TracingOptions, DEFAULT_LOGGING_DIR};
 use common_time::timezone::set_default_timezone;
 use common_version::{short_version, version};
 use frontend::frontend::Frontend;
@@ -194,6 +195,14 @@ impl StartCommand {
             opts.logging.dir.clone_from(dir);
         }
 
+        // If the logging dir is not set, use the default logs dir in the data home.
+        if opts.logging.dir.is_empty() {
+            opts.logging.dir = Path::new(DEFAULT_DATA_HOME)
+                .join(DEFAULT_LOGGING_DIR)
+                .to_string_lossy()
+                .to_string();
+        }
+
         if global_options.log_level.is_some() {
             opts.logging.level.clone_from(&global_options.log_level);
         }

src/cmd/src/metasrv.rs

@@ -13,6 +13,7 @@
 // limitations under the License.
 
 use std::fmt;
+use std::path::Path;
 use std::time::Duration;
 
 use async_trait::async_trait;
@@ -20,7 +21,7 @@ use clap::Parser;
 use common_base::Plugins;
 use common_config::Configurable;
 use common_telemetry::info;
-use common_telemetry::logging::TracingOptions;
+use common_telemetry::logging::{TracingOptions, DEFAULT_LOGGING_DIR};
 use common_version::{short_version, version};
 use meta_srv::bootstrap::MetasrvInstance;
 use meta_srv::metasrv::BackendImpl;
@@ -274,6 +275,14 @@ impl StartCommand {
             opts.data_home.clone_from(data_home);
         }
 
+        // If the logging dir is not set, use the default logs dir in the data home.
+        if opts.logging.dir.is_empty() {
+            opts.logging.dir = Path::new(&opts.data_home)
+                .join(DEFAULT_LOGGING_DIR)
+                .to_string_lossy()
+                .to_string();
+        }
+
         if !self.store_key_prefix.is_empty() {
             opts.store_key_prefix.clone_from(&self.store_key_prefix)
         }

src/cmd/src/standalone.rs

@@ -13,6 +13,7 @@
 // limitations under the License.
 
 use std::net::SocketAddr;
+use std::path::Path;
 use std::sync::Arc;
 use std::{fs, path};
 
@@ -49,7 +50,9 @@ use common_meta::sequence::SequenceBuilder;
 use common_meta::wal_options_allocator::{build_wal_options_allocator, WalOptionsAllocatorRef};
 use common_procedure::{ProcedureInfo, ProcedureManagerRef};
 use common_telemetry::info;
-use common_telemetry::logging::{LoggingOptions, SlowQueryOptions, TracingOptions};
+use common_telemetry::logging::{
+    LoggingOptions, SlowQueryOptions, TracingOptions, DEFAULT_LOGGING_DIR,
+};
 use common_time::timezone::set_default_timezone;
 use common_version::{short_version, version};
 use common_wal::config::DatanodeWalConfig;
@@ -407,6 +410,14 @@ impl StartCommand {
             opts.storage.data_home.clone_from(data_home);
         }
 
+        // If the logging dir is not set, use the default logs dir in the data home.
+        if opts.logging.dir.is_empty() {
+            opts.logging.dir = Path::new(&opts.storage.data_home)
+                .join(DEFAULT_LOGGING_DIR)
+                .to_string_lossy()
+                .to_string();
+        }
+
         if let Some(addr) = &self.rpc_bind_addr {
             // frontend grpc addr conflict with datanode default grpc addr
             let datanode_grpc_addr = DatanodeOptions::default().grpc.bind_addr;

src/cmd/tests/load_config_test.rs

@@ -12,13 +12,14 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
+use std::path::Path;
 use std::time::Duration;
 
 use cmd::options::GreptimeOptions;
 use cmd::standalone::StandaloneOptions;
-use common_config::Configurable;
+use common_config::{Configurable, DEFAULT_DATA_HOME};
 use common_options::datanode::{ClientOptions, DatanodeClientOptions};
-use common_telemetry::logging::{LoggingOptions, DEFAULT_OTLP_ENDPOINT};
+use common_telemetry::logging::{LoggingOptions, DEFAULT_LOGGING_DIR, DEFAULT_OTLP_ENDPOINT};
 use common_wal::config::raft_engine::RaftEngineConfig;
 use common_wal::config::DatanodeWalConfig;
 use datanode::config::{DatanodeOptions, RegionEngineConfig, StorageConfig};
@@ -32,6 +33,7 @@ use mito2::config::MitoConfig;
 use servers::export_metrics::ExportMetricsOption;
 use servers::grpc::GrpcOptions;
 use servers::http::HttpOptions;
+use store_api::path_utils::WAL_DIR;
 
 #[allow(deprecated)]
 #[test]
@@ -56,13 +58,18 @@ fn test_load_datanode_example_config() {
                 metadata_cache_tti: Duration::from_secs(300),
             }),
             wal: DatanodeWalConfig::RaftEngine(RaftEngineConfig {
-                dir: Some("./greptimedb_data/wal".to_string()),
+                dir: Some(
+                    Path::new(DEFAULT_DATA_HOME)
+                        .join(WAL_DIR)
+                        .to_string_lossy()
+                        .to_string(),
+                ),
                 sync_period: Some(Duration::from_secs(10)),
                 recovery_parallelism: 2,
                 ..Default::default()
             }),
             storage: StorageConfig {
-                data_home: "./greptimedb_data/".to_string(),
+                data_home: DEFAULT_DATA_HOME.to_string(),
                 ..Default::default()
             },
             region_engine: vec![
@@ -79,6 +86,10 @@ fn test_load_datanode_example_config() {
             ],
             logging: LoggingOptions {
                 level: Some("info".to_string()),
+                dir: Path::new(DEFAULT_DATA_HOME)
+                    .join(DEFAULT_LOGGING_DIR)
+                    .to_string_lossy()
+                    .to_string(),
                 otlp_endpoint: Some(DEFAULT_OTLP_ENDPOINT.to_string()),
                 tracing_sample_ratio: Some(Default::default()),
                 ..Default::default()
@@ -121,6 +132,10 @@ fn test_load_frontend_example_config() {
             }),
             logging: LoggingOptions {
                 level: Some("info".to_string()),
+                dir: Path::new(DEFAULT_DATA_HOME)
+                    .join(DEFAULT_LOGGING_DIR)
+                    .to_string_lossy()
+                    .to_string(),
                 otlp_endpoint: Some(DEFAULT_OTLP_ENDPOINT.to_string()),
                 tracing_sample_ratio: Some(Default::default()),
                 ..Default::default()
@@ -160,10 +175,13 @@ fn test_load_metasrv_example_config() {
     let expected = GreptimeOptions::<MetasrvOptions> {
         component: MetasrvOptions {
             selector: SelectorType::default(),
-            data_home: "./greptimedb_data/metasrv/".to_string(),
+            data_home: DEFAULT_DATA_HOME.to_string(),
             server_addr: "127.0.0.1:3002".to_string(),
             logging: LoggingOptions {
-                dir: "./greptimedb_data/logs".to_string(),
+                dir: Path::new(DEFAULT_DATA_HOME)
+                    .join(DEFAULT_LOGGING_DIR)
+                    .to_string_lossy()
+                    .to_string(),
                 level: Some("info".to_string()),
                 otlp_endpoint: Some(DEFAULT_OTLP_ENDPOINT.to_string()),
                 tracing_sample_ratio: Some(Default::default()),
@@ -198,7 +216,12 @@ fn test_load_standalone_example_config() {
         component: StandaloneOptions {
             default_timezone: Some("UTC".to_string()),
             wal: DatanodeWalConfig::RaftEngine(RaftEngineConfig {
-                dir: Some("./greptimedb_data/wal".to_string()),
+                dir: Some(
+                    Path::new(DEFAULT_DATA_HOME)
+                        .join(WAL_DIR)
+                        .to_string_lossy()
+                        .to_string(),
+                ),
                 sync_period: Some(Duration::from_secs(10)),
                 recovery_parallelism: 2,
                 ..Default::default()
@@ -216,11 +239,15 @@ fn test_load_standalone_example_config() {
                 }),
             ],
             storage: StorageConfig {
-                data_home: "./greptimedb_data/".to_string(),
+                data_home: DEFAULT_DATA_HOME.to_string(),
                 ..Default::default()
             },
             logging: LoggingOptions {
                 level: Some("info".to_string()),
+                dir: Path::new(DEFAULT_DATA_HOME)
+                    .join(DEFAULT_LOGGING_DIR)
+                    .to_string_lossy()
+                    .to_string(),
                 otlp_endpoint: Some(DEFAULT_OTLP_ENDPOINT.to_string()),
                 tracing_sample_ratio: Some(Default::default()),
                 ..Default::default()

src/common/config/src/lib.rs

@@ -26,6 +26,9 @@ pub fn metadata_store_dir(store_dir: &str) -> String {
     format!("{store_dir}/metadata")
 }
 
+/// The default data home directory.
+pub const DEFAULT_DATA_HOME: &str = "./greptimedb_data";
+
 #[derive(Debug, Clone, Copy, Serialize, Deserialize, PartialEq, Eq)]
 #[serde(default)]
 pub struct KvBackendConfig {

src/common/function/src/adjust_flow.rs

@@ -0,0 +1,90 @@
+// Copyright 2023 Greptime Team
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+use common_macro::admin_fn;
+use common_query::error::{
+    InvalidFuncArgsSnafu, MissingFlowServiceHandlerSnafu, Result, UnsupportedInputDataTypeSnafu,
+};
+use common_query::prelude::Signature;
+use datafusion::logical_expr::Volatility;
+use datatypes::value::{Value, ValueRef};
+use session::context::QueryContextRef;
+use snafu::ensure;
+use store_api::storage::ConcreteDataType;
+
+use crate::handlers::FlowServiceHandlerRef;
+use crate::helper::parse_catalog_flow;
+
+fn adjust_signature() -> Signature {
+    Signature::exact(
+        vec![
+            ConcreteDataType::string_datatype(), // flow name
+            ConcreteDataType::uint64_datatype(), // min_run_interval in seconds
+            ConcreteDataType::uint64_datatype(), // max filter number per query
+        ],
+        Volatility::Immutable,
+    )
+}
+
+#[admin_fn(
+    name = AdjustFlowFunction,
+    display_name = adjust_flow,
+    sig_fn = adjust_signature,
+    ret = uint64
+)]
+pub(crate) async fn adjust_flow(
+    flow_service_handler: &FlowServiceHandlerRef,
+    query_ctx: &QueryContextRef,
+    params: &[ValueRef<'_>],
+) -> Result<Value> {
+    ensure!(
+        params.len() == 3,
+        InvalidFuncArgsSnafu {
+            err_msg: format!(
+                "The length of the args is not correct, expect 3, have: {}",
+                params.len()
+            ),
+        }
+    );
+
+    let (flow_name, min_run_interval, max_filter_num) = match (params[0], params[1], params[2]) {
+        (
+            ValueRef::String(flow_name),
+            ValueRef::UInt64(min_run_interval),
+            ValueRef::UInt64(max_filter_num),
+        ) => (flow_name, min_run_interval, max_filter_num),
+        _ => {
+            return UnsupportedInputDataTypeSnafu {
+                function: "adjust_flow",
+                datatypes: params.iter().map(|v| v.data_type()).collect::<Vec<_>>(),
+            }
+            .fail();
+        }
+    };
+
+    let (catalog_name, flow_name) = parse_catalog_flow(flow_name, query_ctx)?;
+
+    let res = flow_service_handler
+        .adjust(
+            &catalog_name,
+            &flow_name,
+            min_run_interval,
+            max_filter_num as usize,
+            query_ctx.clone(),
+        )
+        .await?;
+    let affected_rows = res.affected_rows;
+
+    Ok(Value::from(affected_rows))
+}

src/common/function/src/admin.rs

@@ -26,6 +26,7 @@ use flush_compact_table::{CompactTableFunction, FlushTableFunction};
 use migrate_region::MigrateRegionFunction;
 use remove_region_follower::RemoveRegionFollowerFunction;
 
+use crate::adjust_flow::AdjustFlowFunction;
 use crate::flush_flow::FlushFlowFunction;
 use crate::function_registry::FunctionRegistry;
 
@@ -43,5 +44,6 @@ impl AdminFunction {
         registry.register_async(Arc::new(FlushTableFunction));
         registry.register_async(Arc::new(CompactTableFunction));
         registry.register_async(Arc::new(FlushFlowFunction));
+        registry.register_async(Arc::new(AdjustFlowFunction));
     }
 }

src/common/function/src/flush_flow.rs

@@ -12,21 +12,19 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-use common_error::ext::BoxedError;
 use common_macro::admin_fn;
 use common_query::error::{
-    ExecuteSnafu, InvalidFuncArgsSnafu, MissingFlowServiceHandlerSnafu, Result,
-    UnsupportedInputDataTypeSnafu,
+    InvalidFuncArgsSnafu, MissingFlowServiceHandlerSnafu, Result, UnsupportedInputDataTypeSnafu,
 };
 use common_query::prelude::Signature;
 use datafusion::logical_expr::Volatility;
 use datatypes::value::{Value, ValueRef};
 use session::context::QueryContextRef;
-use snafu::{ensure, ResultExt};
-use sql::parser::ParserContext;
+use snafu::ensure;
 use store_api::storage::ConcreteDataType;
 
 use crate::handlers::FlowServiceHandlerRef;
+use crate::helper::parse_catalog_flow;
 
 fn flush_signature() -> Signature {
     Signature::uniform(
@@ -47,20 +45,6 @@ pub(crate) async fn flush_flow(
     query_ctx: &QueryContextRef,
     params: &[ValueRef<'_>],
 ) -> Result<Value> {
-    let (catalog_name, flow_name) = parse_flush_flow(params, query_ctx)?;
-
-    let res = flow_service_handler
-        .flush(&catalog_name, &flow_name, query_ctx.clone())
-        .await?;
-    let affected_rows = res.affected_rows;
-
-    Ok(Value::from(affected_rows))
-}
-
-fn parse_flush_flow(
-    params: &[ValueRef<'_>],
-    query_ctx: &QueryContextRef,
-) -> Result<(String, String)> {
     ensure!(
         params.len() == 1,
         InvalidFuncArgsSnafu {
@@ -70,7 +54,6 @@ fn parse_flush_flow(
             ),
         }
     );
-
     let ValueRef::String(flow_name) = params[0] else {
         return UnsupportedInputDataTypeSnafu {
             function: "flush_flow",
@@ -78,27 +61,14 @@ fn parse_flush_flow(
         }
         .fail();
     };
-    let obj_name = ParserContext::parse_table_name(flow_name, query_ctx.sql_dialect())
-        .map_err(BoxedError::new)
-        .context(ExecuteSnafu)?;
+    let (catalog_name, flow_name) = parse_catalog_flow(flow_name, query_ctx)?;
 
-    let (catalog_name, flow_name) = match &obj_name.0[..] {
-        [flow_name] => (
-            query_ctx.current_catalog().to_string(),
-            flow_name.value.clone(),
-        ),
-        [catalog, flow_name] => (catalog.value.clone(), flow_name.value.clone()),
-        _ => {
-            return InvalidFuncArgsSnafu {
-                err_msg: format!(
-                    "expect flow name to be <catalog>.<flow-name> or <flow-name>, actual: {}",
-                    obj_name
-                ),
-            }
-            .fail()
-        }
-    };
-    Ok((catalog_name, flow_name))
+    let res = flow_service_handler
+        .flush(&catalog_name, &flow_name, query_ctx.clone())
+        .await?;
+    let affected_rows = res.affected_rows;
+
+    Ok(Value::from(affected_rows))
 }
 
 #[cfg(test)]
@@ -154,10 +124,7 @@ mod test {
             ("catalog.flow_name", ("catalog", "flow_name")),
         ];
         for (input, expected) in testcases.iter() {
-            let args = vec![*input];
-            let args = args.into_iter().map(ValueRef::String).collect::<Vec<_>>();
-
-            let result = parse_flush_flow(&args, &QueryContext::arc()).unwrap();
+            let result = parse_catalog_flow(input, &QueryContext::arc()).unwrap();
             assert_eq!(*expected, (result.0.as_str(), result.1.as_str()));
         }
     }

src/common/function/src/handlers.rs

@@ -87,6 +87,15 @@ pub trait FlowServiceHandler: Send + Sync {
         flow: &str,
         ctx: QueryContextRef,
     ) -> Result<api::v1::flow::FlowResponse>;
+
+    async fn adjust(
+        &self,
+        catalog: &str,
+        flow: &str,
+        min_run_interval_secs: u64,
+        max_filter_num_per_query: usize,
+        ctx: QueryContextRef,
+    ) -> Result<api::v1::flow::FlowResponse>;
 }
 
 pub type TableMutationHandlerRef = Arc<dyn TableMutationHandler>;

src/common/function/src/helper.rs

@@ -12,12 +12,15 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-use common_query::error::{InvalidInputTypeSnafu, Result};
+use common_error::ext::BoxedError;
+use common_query::error::{ExecuteSnafu, InvalidFuncArgsSnafu, InvalidInputTypeSnafu, Result};
 use common_query::prelude::{Signature, TypeSignature, Volatility};
 use datatypes::prelude::ConcreteDataType;
 use datatypes::types::cast::cast;
 use datatypes::value::ValueRef;
+use session::context::QueryContextRef;
 use snafu::ResultExt;
+use sql::parser::ParserContext;
 
 /// Create a function signature with oneof signatures of interleaving two arguments.
 pub fn one_of_sigs2(args1: Vec<ConcreteDataType>, args2: Vec<ConcreteDataType>) -> Signature {
@@ -43,3 +46,30 @@ pub fn cast_u64(value: &ValueRef) -> Result<Option<u64>> {
         })
         .map(|v| v.as_u64())
 }
+
+pub fn parse_catalog_flow(
+    flow_name: &str,
+    query_ctx: &QueryContextRef,
+) -> Result<(String, String)> {
+    let obj_name = ParserContext::parse_table_name(flow_name, query_ctx.sql_dialect())
+        .map_err(BoxedError::new)
+        .context(ExecuteSnafu)?;
+
+    let (catalog_name, flow_name) = match &obj_name.0[..] {
+        [flow_name] => (
+            query_ctx.current_catalog().to_string(),
+            flow_name.value.clone(),
+        ),
+        [catalog, flow_name] => (catalog.value.clone(), flow_name.value.clone()),
+        _ => {
+            return InvalidFuncArgsSnafu {
+                err_msg: format!(
+                    "expect flow name to be <catalog>.<flow-name> or <flow-name>, actual: {}",
+                    obj_name
+                ),
+            }
+            .fail()
+        }
+    };
+    Ok((catalog_name, flow_name))
+}

src/common/function/src/lib.rs

@@ -15,6 +15,7 @@
 #![feature(let_chains)]
 #![feature(try_blocks)]
 
+mod adjust_flow;
 mod admin;
 mod flush_flow;
 mod macros;

src/common/function/src/state.rs

@@ -148,6 +148,17 @@ impl FunctionState {
             ) -> Result<api::v1::flow::FlowResponse> {
                 todo!()
             }
+
+            async fn adjust(
+                &self,
+                _catalog: &str,
+                _flow: &str,
+                _min_run_interval_secs: u64,
+                _max_filter_num_per_query: usize,
+                _ctx: QueryContextRef,
+            ) -> Result<api::v1::flow::FlowResponse> {
+                todo!()
+            }
         }
 
         Self {

src/common/grpc/src/flight.rs

@@ -64,6 +64,18 @@ impl Default for FlightEncoder {
 }
 
 impl FlightEncoder {
+    pub fn with_compression_disabled() -> Self {
+        let write_options = writer::IpcWriteOptions::default()
+            .try_with_compression(None)
+            .unwrap();
+
+        Self {
+            write_options,
+            data_gen: writer::IpcDataGenerator::default(),
+            dictionary_tracker: writer::DictionaryTracker::new(false),
+        }
+    }
+
     pub fn encode(&mut self, flight_message: FlightMessage) -> FlightData {
         match flight_message {
             FlightMessage::Schema(schema) => SchemaAsIpc::new(&schema, &self.write_options).into(),

src/common/telemetry/src/logging.rs

@@ -37,6 +37,9 @@ use crate::tracing_sampler::{create_sampler, TracingSampleOptions};
 
 pub const DEFAULT_OTLP_ENDPOINT: &str = "http://localhost:4317";
 
+/// The default logs directory.
+pub const DEFAULT_LOGGING_DIR: &str = "logs";
+
 // Handle for reloading log level
 pub static RELOAD_HANDLE: OnceCell<tracing_subscriber::reload::Handle<Targets, Registry>> =
     OnceCell::new();
@@ -133,7 +136,8 @@ impl Eq for LoggingOptions {}
 impl Default for LoggingOptions {
     fn default() -> Self {
         Self {
-            dir: "./greptimedb_data/logs".to_string(),
+            // The directory path will be configured at application startup, typically using the data home directory as a base.
+            dir: "".to_string(),
             level: None,
             log_format: LogFormat::Text,
             enable_otlp_tracing: false,

src/datanode/src/config.rs

@@ -18,7 +18,7 @@ use core::time::Duration;
 
 use common_base::readable_size::ReadableSize;
 use common_base::secrets::{ExposeSecret, SecretString};
-use common_config::Configurable;
+use common_config::{Configurable, DEFAULT_DATA_HOME};
 pub use common_procedure::options::ProcedureConfig;
 use common_telemetry::logging::{LoggingOptions, TracingOptions};
 use common_wal::config::DatanodeWalConfig;
@@ -36,9 +36,6 @@ use servers::http::HttpOptions;
 
 pub const DEFAULT_OBJECT_STORE_CACHE_SIZE: ReadableSize = ReadableSize::gb(5);
 
-/// Default data home in file storage
-const DEFAULT_DATA_HOME: &str = "./greptimedb_data";
-
 /// Object storage config
 #[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]
 #[serde(tag = "type")]

src/flow/Cargo.toml

@@ -61,6 +61,7 @@ prost.workspace = true
 query.workspace = true
 rand.workspace = true
 serde.workspace = true
+serde_json.workspace = true
 servers.workspace = true
 session.workspace = true
 smallvec.workspace = true

src/flow/src/adapter/flownode_impl.rs

@@ -18,7 +18,7 @@ use std::sync::atomic::AtomicBool;
 use std::sync::Arc;
 
 use api::v1::flow::{
-    flow_request, CreateRequest, DropRequest, FlowRequest, FlowResponse, FlushFlow,
+    flow_request, AdjustFlow, CreateRequest, DropRequest, FlowRequest, FlowResponse, FlushFlow,
 };
 use api::v1::region::InsertRequests;
 use catalog::CatalogManager;
@@ -32,6 +32,7 @@ use common_telemetry::{error, info, trace, warn};
 use datatypes::value::Value;
 use futures::TryStreamExt;
 use itertools::Itertools;
+use serde::{Deserialize, Serialize};
 use session::context::QueryContextBuilder;
 use snafu::{ensure, IntoError, OptionExt, ResultExt};
 use store_api::storage::{RegionId, TableId};
@@ -809,6 +810,25 @@ impl common_meta::node_manager::Flownode for FlowDualEngine {
                     ..Default::default()
                 })
             }
+            Some(flow_request::Body::Adjust(AdjustFlow { flow_id, options })) => {
+                #[derive(Debug, Serialize, Deserialize)]
+                struct Options {
+                    min_run_interval_secs: u64,
+                    max_filter_num_per_query: usize,
+                }
+                let options: Options = serde_json::from_str(&options).with_context(|_| {
+                    common_meta::error::DeserializeFromJsonSnafu { input: options }
+                })?;
+                self.batching_engine
+                    .adjust_flow(
+                        flow_id.unwrap().id as u64,
+                        options.min_run_interval_secs,
+                        options.max_filter_num_per_query,
+                    )
+                    .await
+                    .map_err(to_meta_err(snafu::location!()))?;
+                Ok(Default::default())
+            }
             other => common_meta::error::InvalidFlowRequestBodySnafu { body: other }.fail(),
         }
     }
@@ -841,93 +861,6 @@ fn to_meta_err(
     }
 }
 
-#[async_trait::async_trait]
-impl common_meta::node_manager::Flownode for StreamingEngine {
-    async fn handle(&self, request: FlowRequest) -> MetaResult<FlowResponse> {
-        let query_ctx = request
-            .header
-            .and_then(|h| h.query_context)
-            .map(|ctx| ctx.into());
-        match request.body {
-            Some(flow_request::Body::Create(CreateRequest {
-                flow_id: Some(task_id),
-                source_table_ids,
-                sink_table_name: Some(sink_table_name),
-                create_if_not_exists,
-                expire_after,
-                comment,
-                sql,
-                flow_options,
-                or_replace,
-            })) => {
-                let source_table_ids = source_table_ids.into_iter().map(|id| id.id).collect_vec();
-                let sink_table_name = [
-                    sink_table_name.catalog_name,
-                    sink_table_name.schema_name,
-                    sink_table_name.table_name,
-                ];
-                let expire_after = expire_after.map(|e| e.value);
-                let args = CreateFlowArgs {
-                    flow_id: task_id.id as u64,
-                    sink_table_name,
-                    source_table_ids,
-                    create_if_not_exists,
-                    or_replace,
-                    expire_after,
-                    comment: Some(comment),
-                    sql: sql.clone(),
-                    flow_options,
-                    query_ctx,
-                };
-                let ret = self
-                    .create_flow(args)
-                    .await
-                    .map_err(BoxedError::new)
-                    .with_context(|_| CreateFlowSnafu { sql: sql.clone() })
-                    .map_err(to_meta_err(snafu::location!()))?;
-                METRIC_FLOW_TASK_COUNT.inc();
-                Ok(FlowResponse {
-                    affected_flows: ret
-                        .map(|id| greptime_proto::v1::FlowId { id: id as u32 })
-                        .into_iter()
-                        .collect_vec(),
-                    ..Default::default()
-                })
-            }
-            Some(flow_request::Body::Drop(DropRequest {
-                flow_id: Some(flow_id),
-            })) => {
-                self.remove_flow(flow_id.id as u64)
-                    .await
-                    .map_err(to_meta_err(snafu::location!()))?;
-                METRIC_FLOW_TASK_COUNT.dec();
-                Ok(Default::default())
-            }
-            Some(flow_request::Body::Flush(FlushFlow {
-                flow_id: Some(flow_id),
-            })) => {
-                let row = self
-                    .flush_flow_inner(flow_id.id as u64)
-                    .await
-                    .map_err(to_meta_err(snafu::location!()))?;
-                Ok(FlowResponse {
-                    affected_flows: vec![flow_id],
-                    affected_rows: row as u64,
-                    ..Default::default()
-                })
-            }
-            other => common_meta::error::InvalidFlowRequestBodySnafu { body: other }.fail(),
-        }
-    }
-
-    async fn handle_inserts(&self, request: InsertRequests) -> MetaResult<FlowResponse> {
-        self.handle_inserts_inner(request)
-            .await
-            .map(|_| Default::default())
-            .map_err(to_meta_err(snafu::location!()))
-    }
-}
-
 impl FlowEngine for StreamingEngine {
     async fn create_flow(&self, args: CreateFlowArgs) -> Result<Option<FlowId>, Error> {
         self.create_flow_inner(args).await

src/flow/src/batching_mode/engine.rs

@@ -388,6 +388,20 @@ impl BatchingEngine {
     pub async fn flow_exist_inner(&self, flow_id: FlowId) -> bool {
         self.tasks.read().await.contains_key(&flow_id)
     }
+
+    pub async fn adjust_flow(
+        &self,
+        flow_id: FlowId,
+        min_run_interval_secs: u64,
+        max_filter_num_per_query: usize,
+    ) -> Result<(), Error> {
+        let task = self.tasks.read().await.get(&flow_id).cloned();
+        let task = task.with_context(|| FlowNotFoundSnafu { id: flow_id })?;
+        debug!("Adjusting flow {flow_id} with min_run_interval_secs={} and max_filter_num_per_query={}", min_run_interval_secs, max_filter_num_per_query);
+        task.adjust(min_run_interval_secs, max_filter_num_per_query);
+
+        Ok(())
+    }
 }
 
 impl FlowEngine for BatchingEngine {

src/flow/src/batching_mode/frontend_client.rs

@@ -14,8 +14,9 @@
 
 //! Frontend client to run flow as batching task which is time-window-aware normal query triggered every tick set by user
 
-use std::sync::{Arc, Weak};
-use std::time::SystemTime;
+use std::collections::HashMap;
+use std::sync::{Arc, Mutex, Weak};
+use std::time::{Duration, Instant, SystemTime};
 
 use api::v1::greptime_request::Request;
 use api::v1::CreateTableExpr;
@@ -26,20 +27,21 @@ use common_meta::cluster::{NodeInfo, NodeInfoKey, Role};
 use common_meta::peer::Peer;
 use common_meta::rpc::store::RangeRequest;
 use common_query::Output;
-use common_telemetry::warn;
+use common_telemetry::{debug, warn};
+use itertools::Itertools;
 use meta_client::client::MetaClient;
-use rand::rng;
-use rand::seq::SliceRandom;
 use servers::query_handler::grpc::GrpcQueryHandler;
 use session::context::{QueryContextBuilder, QueryContextRef};
 use snafu::{OptionExt, ResultExt};
 
+use crate::batching_mode::task::BatchingTask;
 use crate::batching_mode::{
     DEFAULT_BATCHING_ENGINE_QUERY_TIMEOUT, FRONTEND_ACTIVITY_TIMEOUT, GRPC_CONN_TIMEOUT,
     GRPC_MAX_RETRIES,
 };
 use crate::error::{ExternalSnafu, InvalidRequestSnafu, NoAvailableFrontendSnafu, UnexpectedSnafu};
-use crate::{Error, FlowAuthHeader};
+use crate::metrics::METRIC_FLOW_BATCHING_ENGINE_GUESS_FE_LOAD;
+use crate::{Error, FlowAuthHeader, FlowId};
 
 /// Just like [`GrpcQueryHandler`] but use BoxedError
 ///
@@ -74,6 +76,105 @@ impl<
 
 type HandlerMutable = Arc<std::sync::Mutex<Option<Weak<dyn GrpcQueryHandlerWithBoxedError>>>>;
 
+/// Statistics about running query on this frontend from flownode
+#[derive(Debug, Default, Clone)]
+struct FrontendStat {
+    /// The query for flow id has been running since this timestamp
+    since: HashMap<FlowId, Instant>,
+    /// The average query time for each flow id
+    /// This is used to calculate the average query time for each flow id
+    past_query_avg: HashMap<FlowId, (usize, Duration)>,
+}
+
+#[derive(Debug, Default, Clone)]
+pub struct FrontendStats {
+    /// The statistics for each flow id
+    stats: Arc<Mutex<HashMap<String, FrontendStat>>>,
+}
+
+impl FrontendStats {
+    pub fn observe(&self, frontend_addr: &str, flow_id: FlowId) -> FrontendStatsGuard {
+        let mut stats = self.stats.lock().expect("Failed to lock frontend stats");
+        let stat = stats.entry(frontend_addr.to_string()).or_default();
+        stat.since.insert(flow_id, Instant::now());
+
+        FrontendStatsGuard {
+            stats: self.stats.clone(),
+            frontend_addr: frontend_addr.to_string(),
+            cur: flow_id,
+        }
+    }
+
+    /// return frontend addrs sorted by load, from lightest to heaviest
+    /// The load is calculated as the total average query time for each flow id plus running query's total running time elapsed
+    pub fn sort_by_load(&self) -> Vec<String> {
+        let stats = self.stats.lock().expect("Failed to lock frontend stats");
+        let fe_load_factor = stats
+            .iter()
+            .map(|(node_addr, stat)| {
+                // total expected avg running time for all currently running queries
+                let total_expect_avg_run_time = stat
+                    .since
+                    .keys()
+                    .map(|f| {
+                        let (count, total_duration) =
+                            stat.past_query_avg.get(f).unwrap_or(&(0, Duration::ZERO));
+                        if *count == 0 {
+                            0.0
+                        } else {
+                            total_duration.as_secs_f64() / *count as f64
+                        }
+                    })
+                    .sum::<f64>();
+                let total_cur_running_time = stat
+                    .since
+                    .values()
+                    .map(|since| since.elapsed().as_secs_f64())
+                    .sum::<f64>();
+                (
+                    node_addr.to_string(),
+                    total_expect_avg_run_time + total_cur_running_time,
+                )
+            })
+            .sorted_by(|(_, load_a), (_, load_b)| {
+                load_a
+                    .partial_cmp(load_b)
+                    .unwrap_or(std::cmp::Ordering::Equal)
+            })
+            .collect::<Vec<_>>();
+        debug!("Frontend load factor: {:?}", fe_load_factor);
+        for (node_addr, load) in &fe_load_factor {
+            METRIC_FLOW_BATCHING_ENGINE_GUESS_FE_LOAD
+                .with_label_values(&[&node_addr.to_string()])
+                .observe(*load);
+        }
+        fe_load_factor
+            .into_iter()
+            .map(|(addr, _)| addr)
+            .collect::<Vec<_>>()
+    }
+}
+
+pub struct FrontendStatsGuard {
+    stats: Arc<Mutex<HashMap<String, FrontendStat>>>,
+    frontend_addr: String,
+    cur: FlowId,
+}
+
+impl Drop for FrontendStatsGuard {
+    fn drop(&mut self) {
+        let mut stats = self.stats.lock().expect("Failed to lock frontend stats");
+        if let Some(stat) = stats.get_mut(&self.frontend_addr) {
+            if let Some(since) = stat.since.remove(&self.cur) {
+                let elapsed = since.elapsed();
+                let (count, total_duration) = stat.past_query_avg.entry(self.cur).or_default();
+                *count += 1;
+                *total_duration += elapsed;
+            }
+        }
+    }
+}
+
 /// A simple frontend client able to execute sql using grpc protocol
 ///
 /// This is for computation-heavy query which need to offload computation to frontend, lifting the load from flownode
@@ -83,6 +184,7 @@ pub enum FrontendClient {
         meta_client: Arc<MetaClient>,
         chnl_mgr: ChannelManager,
         auth: Option<FlowAuthHeader>,
+        fe_stats: FrontendStats,
     },
     Standalone {
         /// for the sake of simplicity still use grpc even in standalone mode
@@ -114,6 +216,7 @@ impl FrontendClient {
                 ChannelManager::with_config(cfg)
             },
             auth,
+            fe_stats: Default::default(),
         }
     }
 
@@ -183,7 +286,7 @@ impl FrontendClient {
 
     /// Get the frontend with recent enough(less than 1 minute from now) `last_activity_ts`
     /// and is able to process query
-    async fn get_random_active_frontend(
+    pub(crate) async fn get_random_active_frontend(
         &self,
         catalog: &str,
         schema: &str,
@@ -192,6 +295,7 @@ impl FrontendClient {
             meta_client: _,
             chnl_mgr,
             auth,
+            fe_stats,
         } = self
         else {
             return UnexpectedSnafu {
@@ -208,8 +312,21 @@ impl FrontendClient {
                 .duration_since(SystemTime::UNIX_EPOCH)
                 .unwrap()
                 .as_millis() as i64;
-            // shuffle the frontends to avoid always pick the same one
-            frontends.shuffle(&mut rng());
+            let node_addrs_by_load = fe_stats.sort_by_load();
+            // index+1 to load order asc, so that the lightest node has load 1 and non-existent node has load 0
+            let addr2load = node_addrs_by_load
+                .iter()
+                .enumerate()
+                .map(|(i, id)| (id.clone(), i + 1))
+                .collect::<HashMap<_, _>>();
+            // sort frontends by load, from lightest to heaviest
+            frontends.sort_by(|(_, a), (_, b)| {
+                // if not even in stats, treat as 0 load since never been queried
+                let load_a = addr2load.get(&a.peer.addr).unwrap_or(&0);
+                let load_b = addr2load.get(&b.peer.addr).unwrap_or(&0);
+                load_a.cmp(load_b)
+            });
+            debug!("Frontend nodes sorted by load: {:?}", frontends);
 
             // found node with maximum last_activity_ts
             for (_, node_info) in frontends
@@ -257,6 +374,7 @@ impl FrontendClient {
         create: CreateTableExpr,
         catalog: &str,
         schema: &str,
+        task: Option<&BatchingTask>,
     ) -> Result<u32, Error> {
         self.handle(
             Request::Ddl(api::v1::DdlRequest {
@@ -264,7 +382,8 @@ impl FrontendClient {
             }),
             catalog,
             schema,
-            &mut None,
+            None,
+            task,
         )
         .await
     }
@@ -275,15 +394,31 @@ impl FrontendClient {
         req: api::v1::greptime_request::Request,
         catalog: &str,
         schema: &str,
-        peer_desc: &mut Option<PeerDesc>,
+        use_peer: Option<Peer>,
+        task: Option<&BatchingTask>,
     ) -> Result<u32, Error> {
         match self {
-            FrontendClient::Distributed { .. } => {
-                let db = self.get_random_active_frontend(catalog, schema).await?;
+            FrontendClient::Distributed {
+                fe_stats, chnl_mgr, ..
+            } => {
+                let db = if let Some(peer) = use_peer {
+                    DatabaseWithPeer::new(
+                        Database::new(
+                            catalog,
+                            schema,
+                            Client::with_manager_and_urls(
+                                chnl_mgr.clone(),
+                                vec![peer.addr.clone()],
+                            ),
+                        ),
+                        peer,
+                    )
+                } else {
+                    self.get_random_active_frontend(catalog, schema).await?
+                };
 
-                *peer_desc = Some(PeerDesc::Dist {
-                    peer: db.peer.clone(),
-                });
+                let flow_id = task.map(|t| t.config.flow_id).unwrap_or_default();
+                let _guard = fe_stats.observe(&db.peer.addr, flow_id);
 
                 db.database
                     .handle_with_retry(req.clone(), GRPC_MAX_RETRIES)

src/flow/src/batching_mode/state.rs

@@ -32,6 +32,7 @@ use crate::batching_mode::MIN_REFRESH_DURATION;
 use crate::error::{DatatypesSnafu, InternalSnafu, TimeSnafu, UnexpectedSnafu};
 use crate::metrics::{
     METRIC_FLOW_BATCHING_ENGINE_QUERY_TIME_RANGE, METRIC_FLOW_BATCHING_ENGINE_QUERY_WINDOW_CNT,
+    METRIC_FLOW_BATCHING_ENGINE_STALLED_QUERY_WINDOW_CNT,
 };
 use crate::{Error, FlowId};
 
@@ -52,6 +53,13 @@ pub struct TaskState {
     pub(crate) shutdown_rx: oneshot::Receiver<()>,
     /// Task handle
     pub(crate) task_handle: Option<tokio::task::JoinHandle<()>>,
+    /// Slow Query metrics update task handle
+    pub(crate) slow_query_metric_task: Option<tokio::task::JoinHandle<()>>,
+
+    /// min run interval in seconds
+    pub(crate) min_run_interval: Option<u64>,
+    /// max filter number per query
+    pub(crate) max_filter_num: Option<usize>,
 }
 impl TaskState {
     pub fn new(query_ctx: QueryContextRef, shutdown_rx: oneshot::Receiver<()>) -> Self {
@@ -63,6 +71,9 @@ impl TaskState {
             exec_state: ExecState::Idle,
             shutdown_rx,
             task_handle: None,
+            slow_query_metric_task: None,
+            min_run_interval: None,
+            max_filter_num: None,
         }
     }
 
@@ -87,20 +98,17 @@ impl TaskState {
     pub fn get_next_start_query_time(
         &self,
         flow_id: FlowId,
-        time_window_size: &Option<Duration>,
+        _time_window_size: &Option<Duration>,
         max_timeout: Option<Duration>,
     ) -> Instant {
-        let last_duration = max_timeout
+        let next_duration = max_timeout
             .unwrap_or(self.last_query_duration)
             .min(self.last_query_duration)
-            .max(MIN_REFRESH_DURATION);
-
-        let next_duration = time_window_size
-            .map(|t| {
-                let half = t / 2;
-                half.max(last_duration)
-            })
-            .unwrap_or(last_duration);
+            .max(
+                self.min_run_interval
+                    .map(Duration::from_secs)
+                    .unwrap_or(MIN_REFRESH_DURATION),
+            );
 
         // if have dirty time window, execute immediately to clean dirty time window
         if self.dirty_time_windows.windows.is_empty() {
@@ -243,9 +251,19 @@ impl DirtyTimeWindows {
         };
 
         METRIC_FLOW_BATCHING_ENGINE_QUERY_WINDOW_CNT
-            .with_label_values(&[flow_id.to_string().as_str()])
+            .with_label_values(&[
+                flow_id.to_string().as_str(),
+                format!("{}", window_size).as_str(),
+            ])
             .observe(first_nth.len() as f64);
 
+        METRIC_FLOW_BATCHING_ENGINE_STALLED_QUERY_WINDOW_CNT
+            .with_label_values(&[
+                flow_id.to_string().as_str(),
+                format!("{}", window_size).as_str(),
+            ])
+            .observe(self.windows.len() as f64);
+
         let full_time_range = first_nth
             .iter()
             .fold(chrono::Duration::zero(), |acc, (start, end)| {
@@ -257,7 +275,10 @@ impl DirtyTimeWindows {
             })
             .num_seconds() as f64;
         METRIC_FLOW_BATCHING_ENGINE_QUERY_TIME_RANGE
-            .with_label_values(&[flow_id.to_string().as_str()])
+            .with_label_values(&[
+                flow_id.to_string().as_str(),
+                format!("{}", window_size).as_str(),
+            ])
             .observe(full_time_range);
 
         let mut expr_lst = vec![];

src/flow/src/batching_mode/task.rs

@@ -61,7 +61,8 @@ use crate::error::{
     SubstraitEncodeLogicalPlanSnafu, UnexpectedSnafu,
 };
 use crate::metrics::{
-    METRIC_FLOW_BATCHING_ENGINE_QUERY_TIME, METRIC_FLOW_BATCHING_ENGINE_SLOW_QUERY,
+    METRIC_FLOW_BATCHING_ENGINE_QUERY_TIME, METRIC_FLOW_BATCHING_ENGINE_REAL_TIME_SLOW_QUERY_CNT,
+    METRIC_FLOW_BATCHING_ENGINE_SLOW_QUERY,
 };
 use crate::{Error, FlowId};
 
@@ -81,6 +82,14 @@ pub struct TaskConfig {
     query_type: QueryType,
 }
 
+impl TaskConfig {
+    pub fn time_window_size(&self) -> Option<Duration> {
+        self.time_window_expr
+            .as_ref()
+            .and_then(|expr| *expr.time_window_size())
+    }
+}
+
 fn determine_query_type(query: &str, query_ctx: &QueryContextRef) -> Result<QueryType, Error> {
     let stmts =
         ParserContext::create_with_dialect(query, query_ctx.sql_dialect(), ParseOptions::default())
@@ -144,6 +153,12 @@ impl BatchingTask {
         })
     }
 
+    pub fn adjust(&self, min_run_interval_secs: u64, max_filter_num_per_query: usize) {
+        let mut state = self.state.write().unwrap();
+        state.min_run_interval = Some(min_run_interval_secs);
+        state.max_filter_num = Some(max_filter_num_per_query);
+    }
+
     /// mark time window range (now - expire_after, now) as dirty (or (0, now) if expire_after not set)
     ///
     /// useful for flush_flow to flush dirty time windows range
@@ -280,7 +295,7 @@ impl BatchingTask {
         let catalog = &self.config.sink_table_name[0];
         let schema = &self.config.sink_table_name[1];
         frontend_client
-            .create(expr.clone(), catalog, schema)
+            .create(expr.clone(), catalog, schema, Some(self))
             .await?;
         Ok(())
     }
@@ -328,11 +343,53 @@ impl BatchingTask {
             })?;
 
         let plan = expanded_plan;
-        let mut peer_desc = None;
+
+        let db = frontend_client
+            .get_random_active_frontend(catalog, schema)
+            .await?;
+        let peer_desc = db.peer.clone();
+
+        let (tx, mut rx) = oneshot::channel();
+        let peer_inner = peer_desc.clone();
+        let window_size_pretty = format!(
+            "{}s",
+            self.config.time_window_size().unwrap_or_default().as_secs()
+        );
+        let inner_window_size_pretty = window_size_pretty.clone();
+        let flow_id = self.config.flow_id;
+        let slow_query_metric_task = tokio::task::spawn(async move {
+            tokio::time::sleep(SLOW_QUERY_THRESHOLD).await;
+            METRIC_FLOW_BATCHING_ENGINE_REAL_TIME_SLOW_QUERY_CNT
+                .with_label_values(&[
+                    flow_id.to_string().as_str(),
+                    &peer_inner.to_string(),
+                    inner_window_size_pretty.as_str(),
+                ])
+                .add(1.0);
+            while rx.try_recv() == Err(TryRecvError::Empty) {
+                // sleep for a while before next update
+                tokio::time::sleep(MIN_REFRESH_DURATION).await;
+            }
+            METRIC_FLOW_BATCHING_ENGINE_REAL_TIME_SLOW_QUERY_CNT
+                .with_label_values(&[
+                    flow_id.to_string().as_str(),
+                    &peer_inner.to_string(),
+                    inner_window_size_pretty.as_str(),
+                ])
+                .sub(1.0);
+        });
+        self.state.write().unwrap().slow_query_metric_task = Some(slow_query_metric_task);
 
         let res = {
             let _timer = METRIC_FLOW_BATCHING_ENGINE_QUERY_TIME
-                .with_label_values(&[flow_id.to_string().as_str()])
+                .with_label_values(&[
+                    flow_id.to_string().as_str(),
+                    format!(
+                        "{}s",
+                        self.config.time_window_size().unwrap_or_default().as_secs()
+                    )
+                    .as_str(),
+                ])
                 .start_timer();
 
             // hack and special handling the insert logical plan
@@ -361,10 +418,12 @@ impl BatchingTask {
             };
 
             frontend_client
-                .handle(req, catalog, schema, &mut peer_desc)
+                .handle(req, catalog, schema, Some(db.peer), Some(self))
                 .await
         };
 
+        // signaling the slow query metric task to stop
+        let _ = tx.send(());
         let elapsed = instant.elapsed();
         if let Ok(affected_rows) = &res {
             debug!(
@@ -387,7 +446,12 @@ impl BatchingTask {
             METRIC_FLOW_BATCHING_ENGINE_SLOW_QUERY
                 .with_label_values(&[
                     flow_id.to_string().as_str(),
-                    &peer_desc.unwrap_or_default().to_string(),
+                    &peer_desc.to_string(),
+                    format!(
+                        "{}s",
+                        self.config.time_window_size().unwrap_or_default().as_secs()
+                    )
+                    .as_str(),
                 ])
                 .observe(elapsed.as_secs_f64());
         }
@@ -580,19 +644,20 @@ impl BatchingTask {
                 ),
             })?;
 
-        let expr = self
-            .state
-            .write()
-            .unwrap()
-            .dirty_time_windows
-            .gen_filter_exprs(
+        let expr = {
+            let mut state = self.state.write().unwrap();
+            let max_window_cnt = state
+                .max_filter_num
+                .unwrap_or(DirtyTimeWindows::MAX_FILTER_NUM);
+            state.dirty_time_windows.gen_filter_exprs(
                 &col_name,
                 Some(l),
                 window_size,
-                DirtyTimeWindows::MAX_FILTER_NUM,
+                max_window_cnt,
                 self.config.flow_id,
                 Some(self),
-            )?;
+            )?
+        };
 
         debug!(
             "Flow id={:?}, Generated filter expr: {:?}",

src/flow/src/metrics.rs

@@ -31,22 +31,37 @@ lazy_static! {
     pub static ref METRIC_FLOW_BATCHING_ENGINE_QUERY_TIME: HistogramVec = register_histogram_vec!(
         "greptime_flow_batching_engine_query_time_secs",
         "flow batching engine query time(seconds)",
-        &["flow_id"],
+        &["flow_id", "time_window_granularity"],
         vec![0.0, 5., 10., 20., 40., 80., 160., 320., 640.,]
     )
     .unwrap();
     pub static ref METRIC_FLOW_BATCHING_ENGINE_SLOW_QUERY: HistogramVec = register_histogram_vec!(
         "greptime_flow_batching_engine_slow_query_secs",
-        "flow batching engine slow query(seconds)",
-        &["flow_id", "peer"],
+        "flow batching engine slow query(seconds), updated after query finished",
+        &["flow_id", "peer", "time_window_granularity"],
         vec![60., 2. * 60., 3. * 60., 5. * 60., 10. * 60.]
     )
     .unwrap();
+    pub static ref METRIC_FLOW_BATCHING_ENGINE_REAL_TIME_SLOW_QUERY_CNT: GaugeVec =
+        register_gauge_vec!(
+            "greptime_flow_batching_engine_real_time_slow_query_number",
+            "flow batching engine real time slow query number, updated in real time",
+            &["flow_id", "peer", "time_window_granularity"],
+        )
+        .unwrap();
+    pub static ref METRIC_FLOW_BATCHING_ENGINE_STALLED_QUERY_WINDOW_CNT: HistogramVec =
+        register_histogram_vec!(
+            "greptime_flow_batching_engine_stalled_query_window_cnt",
+            "flow batching engine stalled query time window count",
+            &["flow_id", "time_window_granularity"],
+            vec![0.0, 5., 10., 20., 40.]
+        )
+        .unwrap();
     pub static ref METRIC_FLOW_BATCHING_ENGINE_QUERY_WINDOW_CNT: HistogramVec =
         register_histogram_vec!(
             "greptime_flow_batching_engine_query_window_cnt",
             "flow batching engine query time window count",
-            &["flow_id"],
+            &["flow_id", "time_window_granularity"],
             vec![0.0, 5., 10., 20., 40.]
         )
         .unwrap();
@@ -54,7 +69,15 @@ lazy_static! {
         register_histogram_vec!(
             "greptime_flow_batching_engine_query_time_range_secs",
             "flow batching engine query time range(seconds)",
-            &["flow_id"],
+            &["flow_id", "time_window_granularity"],
+            vec![60., 4. * 60., 16. * 60., 64. * 60., 256. * 60.]
+        )
+        .unwrap();
+    pub static ref METRIC_FLOW_BATCHING_ENGINE_GUESS_FE_LOAD: HistogramVec =
+        register_histogram_vec!(
+            "greptime_flow_batching_engine_guess_fe_load",
+            "flow batching engine guessed frontend load",
+            &["fe_addr"],
             vec![60., 4. * 60., 16. * 60., 64. * 60., 256. * 60.]
         )
         .unwrap();

src/meta-srv/src/metasrv.rs

@@ -22,7 +22,7 @@ use std::time::Duration;
 use clap::ValueEnum;
 use common_base::readable_size::ReadableSize;
 use common_base::Plugins;
-use common_config::Configurable;
+use common_config::{Configurable, DEFAULT_DATA_HOME};
 use common_greptimedb_telemetry::GreptimeDBTelemetryTask;
 use common_meta::cache_invalidator::CacheInvalidatorRef;
 use common_meta::ddl::ProcedureExecutorRef;
@@ -73,7 +73,7 @@ use crate::state::{become_follower, become_leader, StateRef};
 
 pub const TABLE_ID_SEQ: &str = "table_id";
 pub const FLOW_ID_SEQ: &str = "flow_id";
-pub const METASRV_HOME: &str = "./greptimedb_data/metasrv";
+pub const METASRV_DATA_DIR: &str = "metasrv";
 
 // The datastores that implements metadata kvbackend.
 #[derive(Clone, Debug, PartialEq, Serialize, Default, Deserialize, ValueEnum)]
@@ -217,10 +217,7 @@ impl Default for MetasrvOptions {
             enable_region_failover: false,
             allow_region_failover_on_local_wal: false,
             http: HttpOptions::default(),
-            logging: LoggingOptions {
-                dir: format!("{METASRV_HOME}/logs"),
-                ..Default::default()
-            },
+            logging: LoggingOptions::default(),
             procedure: ProcedureConfig {
                 max_retry_times: 12,
                 retry_delay: Duration::from_millis(500),
@@ -232,7 +229,7 @@ impl Default for MetasrvOptions {
             failure_detector: PhiAccrualFailureDetectorOptions::default(),
             datanode: DatanodeClientOptions::default(),
             enable_telemetry: true,
-            data_home: METASRV_HOME.to_string(),
+            data_home: DEFAULT_DATA_HOME.to_string(),
             wal: MetasrvWalConfig::default(),
             export_metrics: ExportMetricsOption::default(),
             store_key_prefix: String::new(),

src/meta-srv/src/metasrv/builder.rs

@@ -12,6 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
+use std::path::Path;
 use std::sync::atomic::AtomicBool;
 use std::sync::{Arc, Mutex, RwLock};
 
@@ -55,7 +56,7 @@ use crate::handler::{HeartbeatHandlerGroupBuilder, HeartbeatMailbox, Pushers};
 use crate::lease::MetaPeerLookupService;
 use crate::metasrv::{
     ElectionRef, Metasrv, MetasrvInfo, MetasrvOptions, RegionStatAwareSelectorRef, SelectTarget,
-    SelectorContext, SelectorRef, FLOW_ID_SEQ, TABLE_ID_SEQ,
+    SelectorContext, SelectorRef, FLOW_ID_SEQ, METASRV_DATA_DIR, TABLE_ID_SEQ,
 };
 use crate::procedure::region_migration::manager::RegionMigrationManager;
 use crate::procedure::region_migration::DefaultContextFactory;
@@ -436,7 +437,10 @@ impl MetasrvBuilder {
         };
 
         let enable_telemetry = options.enable_telemetry;
-        let metasrv_home = options.data_home.to_string();
+        let metasrv_home = Path::new(&options.data_home)
+            .join(METASRV_DATA_DIR)
+            .to_string_lossy()
+            .to_string();
 
         Ok(Metasrv {
             state,

src/operator/src/flow.rs

@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-use api::v1::flow::FlowRequestHeader;
+use api::v1::flow::{AdjustFlow, FlowRequestHeader};
 use async_trait::async_trait;
 use common_error::ext::BoxedError;
 use common_function::handlers::FlowServiceHandler;
@@ -22,6 +22,7 @@ use common_query::error::Result;
 use common_telemetry::tracing_context::TracingContext;
 use futures::stream::FuturesUnordered;
 use futures::StreamExt;
+use serde_json::json;
 use session::context::QueryContextRef;
 use snafu::{OptionExt, ResultExt};
 
@@ -57,9 +58,96 @@ impl FlowServiceHandler for FlowServiceOperator {
     ) -> Result<api::v1::flow::FlowResponse> {
         self.flush_inner(catalog, flow, ctx).await
     }
+
+    async fn adjust(
+        &self,
+        catalog: &str,
+        flow: &str,
+        min_run_interval_secs: u64,
+        max_filter_num_per_query: usize,
+        ctx: QueryContextRef,
+    ) -> Result<api::v1::flow::FlowResponse> {
+        self.adjust_inner(
+            catalog,
+            flow,
+            min_run_interval_secs,
+            max_filter_num_per_query,
+            ctx,
+        )
+        .await
+    }
 }
 
 impl FlowServiceOperator {
+    async fn adjust_inner(
+        &self,
+        catalog: &str,
+        flow: &str,
+        min_run_interval_secs: u64,
+        max_filter_num_per_query: usize,
+        ctx: QueryContextRef,
+    ) -> Result<api::v1::flow::FlowResponse> {
+        let id = self
+            .flow_metadata_manager
+            .flow_name_manager()
+            .get(catalog, flow)
+            .await
+            .map_err(BoxedError::new)
+            .context(common_query::error::ExecuteSnafu)?
+            .context(common_meta::error::FlowNotFoundSnafu {
+                flow_name: format!("{}.{}", catalog, flow),
+            })
+            .map_err(BoxedError::new)
+            .context(common_query::error::ExecuteSnafu)?
+            .flow_id();
+
+        let all_flownode_peers = self
+            .flow_metadata_manager
+            .flow_route_manager()
+            .routes(id)
+            .await
+            .map_err(BoxedError::new)
+            .context(common_query::error::ExecuteSnafu)?;
+
+        // order of flownodes doesn't matter here
+        let all_flow_nodes = FuturesUnordered::from_iter(
+            all_flownode_peers
+                .iter()
+                .map(|(_key, peer)| self.node_manager.flownode(peer.peer())),
+        )
+        .collect::<Vec<_>>()
+        .await;
+
+        // TODO(discord9): use proper type for flow options
+        let options = json!({
+            "min_run_interval_secs": min_run_interval_secs,
+            "max_filter_num_per_query": max_filter_num_per_query,
+        });
+
+        for node in all_flow_nodes {
+            let _res = {
+                use api::v1::flow::{flow_request, FlowRequest};
+                let flush_req = FlowRequest {
+                    header: Some(FlowRequestHeader {
+                        tracing_context: TracingContext::from_current_span().to_w3c(),
+                        query_context: Some(
+                            common_meta::rpc::ddl::QueryContext::from(ctx.clone()).into(),
+                        ),
+                    }),
+                    body: Some(flow_request::Body::Adjust(AdjustFlow {
+                        flow_id: Some(api::v1::FlowId { id }),
+                        options: options.to_string(),
+                    })),
+                };
+                node.handle(flush_req)
+                    .await
+                    .map_err(BoxedError::new)
+                    .context(common_query::error::ExecuteSnafu)?
+            };
+        }
+        Ok(Default::default())
+    }
+
     /// Flush the flownodes according to the flow id.
     async fn flush_inner(
         &self,

src/servers/src/grpc/flight/stream.rs

@@ -52,7 +52,7 @@ impl FlightRecordBatchStream {
             rx,
             join_handle,
             done: false,
-            encoder: FlightEncoder::default(),
+            encoder: FlightEncoder::with_compression_disabled(),
         }
     }
 

src/store-api/src/path_utils.rs

@@ -18,7 +18,7 @@
 use crate::storage::{RegionId, RegionNumber, TableId};
 
 /// WAL dir for local file storage
-pub const WAL_DIR: &str = "wal/";
+pub const WAL_DIR: &str = "wal";
 
 /// Data dir for table engines
 pub const DATA_DIR: &str = "data/";

tests-integration/src/grpc/flight.rs

@@ -139,7 +139,8 @@ mod test {
         let schema = record_batches[0].schema.arrow_schema().clone();
 
         let stream = futures::stream::once(async move {
-            let mut schema_data = FlightEncoder::default().encode(FlightMessage::Schema(schema));
+            let mut schema_data =
+                FlightEncoder::with_compression_disabled().encode(FlightMessage::Schema(schema));
             let metadata = DoPutMetadata::new(0);
             schema_data.app_metadata = serde_json::to_vec(&metadata).unwrap().into();
             // first message in "DoPut" stream should carry table name in flight descriptor
@@ -154,7 +155,7 @@ mod test {
             tokio_stream::iter(record_batches)
                 .enumerate()
                 .map(|(i, x)| {
-                    let mut encoder = FlightEncoder::default();
+                    let mut encoder = FlightEncoder::with_compression_disabled();
                     let message = FlightMessage::RecordBatch(x.into_df_record_batch());
                     let mut data = encoder.encode(message);
                     let metadata = DoPutMetadata::new((i + 1) as i64);