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Refactor initialize sql script to compatible with ce and ee #79

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merged 1 commit into from
Dec 24, 2024

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MasonXon
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@MasonXon MasonXon commented Dec 23, 2024

Summary by CodeRabbit

  • New Features

    • Introduced a new SQL initialization script that enhances database setup and seeding processes.
    • Added a trigger to promote the 'root' user to 'admin' upon insertion into the users table.
  • Bug Fixes

    • Improved efficiency of data insertion for space_resources, runtime_frameworks, and runtime_architectures tables by consolidating multiple insert statements.
  • Documentation

    • Updated SQL scripts for better readability and organization, including timestamp logging and schema settings.

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coderabbitai bot commented Dec 23, 2024

Walkthrough

This pull request updates the database initialization process across multiple deployment configurations (Docker Compose, Docker, and Helm Chart). The primary change involves replacing the init.sql script with a new initialize.sql script that introduces more robust data seeding mechanisms. The modifications include updating the entrypoint in Docker Compose to use the new initialization script, reformatting SQL statements, and implementing more efficient data insertion strategies with features like ON CONFLICT clauses and common table expressions.

Changes

File Change Summary
docker-compose/docker-compose.yml Updated entrypoint for csghub_db_init service to use initialize.sql instead of init.sql
docker-compose/init-scripts/init.sql Deleted original initialization script
docker-compose/init-scripts/initialize.sql New initialization script with improved data seeding and trigger mechanisms
docker/etc/server/initialize.sql Reformatted SQL script with more efficient data insertion and explicit schema settings
helm-chart/charts/csghub/charts/server/initialize.sql Updated initialization script with improved readability and data insertion strategies

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  • wayneliu0019

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SQL scripts hop and twirl with grace,
From init.sql to initialize they race
Triggers spark, sequences reset
A rabbit's migration, perfectly met! 🚀

Initialization complete, data takes flight! 🌟


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@MasonXon MasonXon force-pushed the fix-incompatible-sql-script branch from cff64a4 to 39883fd Compare December 23, 2024 12:44
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Actionable comments posted: 3

🧹 Nitpick comments (5)
docker/etc/server/initialize.sql (3)

Line range hint 1-24: Consider enhancing the timestamp logging format.

The current timestamp logging could be improved by including timezone information and a more descriptive format for better debugging and audit trails.

-SELECT now() as "Execute Timestamp";
+SELECT now() AT TIME ZONE 'UTC' as "Execute Timestamp (UTC)",
+       pg_backend_pid() as "Backend PID",
+       current_user as "Executing User";

160-306: Add foreign key validation and indexing for runtime architectures.

The current implementation doesn't enforce referential integrity between runtime architectures and frameworks. Consider adding foreign key constraints and appropriate indexes.

-- Add after the INSERT statement:
ALTER TABLE public.runtime_architectures 
    ADD CONSTRAINT fk_runtime_framework 
    FOREIGN KEY (runtime_framework_id) 
    REFERENCES public.runtime_frameworks(id);

CREATE INDEX idx_runtime_architectures_framework_id 
    ON public.runtime_architectures(runtime_framework_id);

Line range hint 1-316: Consider centralizing database initialization scripts.

Having identical initialization scripts in multiple locations (docker/etc/server/, helm-chart/charts/csghub/charts/server/, and docker-compose/init-scripts/) could lead to maintenance issues and inconsistencies. Consider centralizing these scripts and using symlinks or a build process to distribute them.

Suggested approaches:

  1. Create a single source of truth in a database/migrations directory
  2. Use a build process to copy or link the file to required locations
  3. Consider using a database migration tool like Flyway or Liquibase for better version control
docker-compose/docker-compose.yml (2)

220-220: Consider enhancing service resilience and observability.

A few suggestions to improve the service configuration:

  1. Add a timeout to the health checks to prevent infinite waiting
  2. Add logging for initialization progress
-    entrypoint: [ "sh", "-c", "until nc -zv csghub_server 8080 ; do echo 'sleep 10s...'; sleep 10; done; echo 'begin to do db init scripts'; until pg_isready -h postgres -p 5432; do sleep 5; done; psql -h postgres -U postgres -d starhub_server -f /scripts/initialize.sql" ]
+    entrypoint: [ "sh", "-c", "timeout 300 sh -c 'until nc -zv csghub_server 8080; do echo \"Waiting for csghub_server...\"; sleep 10; done' && \
+                             timeout 300 sh -c 'until pg_isready -h postgres -p 5432; do echo \"Waiting for postgres...\"; sleep 5; done' && \
+                             echo \"Starting database initialization...\" && \
+                             psql -h postgres -U postgres -d starhub_server -f /scripts/initialize.sql && \
+                             echo \"Database initialization completed successfully\"" ]

220-220: Consider implementing initialization status tracking.

To improve the robustness of the initialization process:

  1. Consider adding a status table or flag to track initialization state
  2. Implement idempotency to handle potential retries safely

This will help:

  • Prevent duplicate initialization attempts
  • Provide clear visibility into the initialization state
  • Enable safe recovery in case of failures
📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between d4a539b and 39883fd.

📒 Files selected for processing (5)
  • docker-compose/docker-compose.yml (1 hunks)
  • docker-compose/init-scripts/init.sql (0 hunks)
  • docker-compose/init-scripts/initialize.sql (1 hunks)
  • docker/etc/server/initialize.sql (2 hunks)
  • helm-chart/charts/csghub/charts/server/initialize.sql (2 hunks)
💤 Files with no reviewable changes (1)
  • docker-compose/init-scripts/init.sql
🔇 Additional comments (3)
helm-chart/charts/csghub/charts/server/initialize.sql (1)

Line range hint 1-316: Identical to docker/etc/server/initialize.sql

This file is identical to the previously reviewed file. Please refer to the comments above.

docker-compose/init-scripts/initialize.sql (1)

1-316: Identical to docker/etc/server/initialize.sql

This file is identical to the previously reviewed file. Please refer to the comments above.

docker-compose/docker-compose.yml (1)

220-220: Verify the initialization script's existence and permissions.

The entrypoint command looks robust with proper health checks. However, we should verify that the new initialize.sql script exists in the mounted volume.

✅ Verification successful

The initialization script exists and contains valid SQL statements

The initialize.sql script is present at the expected location (docker-compose/init-scripts/initialize.sql) and contains valid SQL statements for database initialization, including:

  • Setting up database configuration
  • Creating trigger functions for root user promotion
  • Seeding space resources data
  • Seeding runtime frameworks data
  • Seeding runtime architectures data
🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Description: Verify the existence and permissions of the initialization script
# Expected: The script should exist and be readable

# Check if the init-scripts directory exists and contains initialize.sql
fd --type f "initialize.sql" docker-compose/init-scripts

# If found, check its content to ensure it's not empty
if fd --type f "initialize.sql" docker-compose/init-scripts -x cat {}; then
  echo "Script exists and has content"
else
  echo "Script not found or empty"
fi

Length of output: 13479

Comment on lines +99 to +112
-- Fixed frame_npu_image enforce constraint NOT NULL
DO $$
BEGIN
IF EXISTS (
SELECT FROM information_schema.columns
WHERE table_name = 'runtime_frameworks'
AND column_name = 'frame_npu_image_01'
)
THEN
ALTER TABLE IF EXISTS runtime_frameworks
ALTER COLUMN frame_npu_image DROP NOT NULL;
END IF;
END
$$;
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⚠️ Potential issue

Fix column name mismatch in constraint check.

There's a discrepancy between the column being checked (frame_npu_image_01) and the column being altered (frame_npu_image).

     IF EXISTS (
         SELECT FROM information_schema.columns
         WHERE table_name = 'runtime_frameworks'
-            AND column_name = 'frame_npu_image_01'
+            AND column_name = 'frame_npu_image'
     )
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
-- Fixed frame_npu_image enforce constraint NOT NULL
DO $$
BEGIN
IF EXISTS (
SELECT FROM information_schema.columns
WHERE table_name = 'runtime_frameworks'
AND column_name = 'frame_npu_image_01'
)
THEN
ALTER TABLE IF EXISTS runtime_frameworks
ALTER COLUMN frame_npu_image DROP NOT NULL;
END IF;
END
$$;
-- Fixed frame_npu_image enforce constraint NOT NULL
DO $$
BEGIN
IF EXISTS (
SELECT FROM information_schema.columns
WHERE table_name = 'runtime_frameworks'
AND column_name = 'frame_npu_image'
)
THEN
ALTER TABLE IF EXISTS runtime_frameworks
ALTER COLUMN frame_npu_image DROP NOT NULL;
END IF;
END
$$;

Comment on lines +30 to +57
-- Create Trigger Function
CREATE OR REPLACE FUNCTION promote_root_to_admin ()
RETURNS TRIGGER
AS $$
BEGIN
IF NEW.username = 'root' THEN
UPDATE public.users
SET role_mask = 'admin'
WHERE username = 'root';
UPDATE
public.users
SET
role_mask = 'admin'
WHERE
username = 'root';

-- After update Drop all
EXECUTE 'DROP TRIGGER IF EXISTS trigger_promote_root_to_admin ON public.users';
EXECUTE 'DROP FUNCTION IF EXISTS promote_root_to_admin()';
END IF;

RETURN NEW;
END;
$$ LANGUAGE plpgsql VOLATILE;
$$
LANGUAGE plpgsql
VOLATILE;

-- Create Trigger
CREATE OR REPLACE TRIGGER trigger_promote_root_to_admin
AFTER INSERT ON public.users
FOR EACH ROW
EXECUTE FUNCTION promote_root_to_admin();
EXECUTE FUNCTION promote_root_to_admin ();
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🛠️ Refactor suggestion

Protect against potential race conditions in admin promotion.

The current implementation might be vulnerable to race conditions if multiple connections attempt to insert a root user simultaneously. Consider adding transaction isolation and locks.

 CREATE OR REPLACE FUNCTION promote_root_to_admin ()
     RETURNS TRIGGER
     AS $$
 BEGIN
+    -- Acquire advisory lock to prevent concurrent promotions
+    PERFORM pg_advisory_xact_lock(hashtext('promote_root_to_admin'));
+
     IF NEW.username = 'root' THEN
         UPDATE
             public.users
         SET
             role_mask = 'admin'
         WHERE
-            username = 'root';
+            username = 'root'
+            AND role_mask != 'admin';  -- Only update if not already admin

         -- After update Drop all
         EXECUTE 'DROP TRIGGER IF EXISTS trigger_promote_root_to_admin ON public.users';
         EXECUTE 'DROP FUNCTION IF EXISTS promote_root_to_admin()';
     END IF;
     RETURN NEW;
 END;
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
-- Create Trigger Function
CREATE OR REPLACE FUNCTION promote_root_to_admin ()
RETURNS TRIGGER
AS $$
BEGIN
IF NEW.username = 'root' THEN
UPDATE public.users
SET role_mask = 'admin'
WHERE username = 'root';
UPDATE
public.users
SET
role_mask = 'admin'
WHERE
username = 'root';
-- After update Drop all
EXECUTE 'DROP TRIGGER IF EXISTS trigger_promote_root_to_admin ON public.users';
EXECUTE 'DROP FUNCTION IF EXISTS promote_root_to_admin()';
END IF;
RETURN NEW;
END;
$$ LANGUAGE plpgsql VOLATILE;
$$
LANGUAGE plpgsql
VOLATILE;
-- Create Trigger
CREATE OR REPLACE TRIGGER trigger_promote_root_to_admin
AFTER INSERT ON public.users
FOR EACH ROW
EXECUTE FUNCTION promote_root_to_admin();
EXECUTE FUNCTION promote_root_to_admin ();
-- Create Trigger Function
CREATE OR REPLACE FUNCTION promote_root_to_admin ()
RETURNS TRIGGER
AS $$
BEGIN
-- Acquire advisory lock to prevent concurrent promotions
PERFORM pg_advisory_xact_lock(hashtext('promote_root_to_admin'));
IF NEW.username = 'root' THEN
UPDATE
public.users
SET
role_mask = 'admin'
WHERE
username = 'root'
AND role_mask != 'admin'; -- Only update if not already admin
-- After update Drop all
EXECUTE 'DROP TRIGGER IF EXISTS trigger_promote_root_to_admin ON public.users';
EXECUTE 'DROP FUNCTION IF EXISTS promote_root_to_admin()';
END IF;
RETURN NEW;
END;
$$
LANGUAGE plpgsql
VOLATILE;
-- Create Trigger
CREATE OR REPLACE TRIGGER trigger_promote_root_to_admin
AFTER INSERT ON public.users
FOR EACH ROW
EXECUTE FUNCTION promote_root_to_admin ();

Comment on lines +63 to +84
WITH selected_cluster AS (
SELECT
cluster_id
FROM
public.cluster_infos
LIMIT 1)
INSERT INTO public.space_resources (id, name, resources, cluster_id)
VALUES
(1, 'CPU basic · 0.5 vCPU · 1 GB', '{ "cpu": { "type": "Intel", "num": "0.5" }, "memory": "1Gi" }', ( SELECT cluster_id FROM selected_cluster)),
(2, 'CPU basic · 2 vCPU · 4 GB', '{ "cpu": { "type": "Intel", "num": "2" }, "memory": "4Gi" }', ( SELECT cluster_id FROM selected_cluster)),
(3, 'NVIDIA A10G · 4 vCPU · 16 GB', '{"gpu": { "type": "A10", "num": "1", "resource_name": "nvidia.com/gpu", "labels": { "aliyun.accelerator/nvidia_name": "NVIDIA-A10" } }, "cpu": { "type": "Intel", "num": "4" }, "memory": "16Gi" }', ( SELECT cluster_id FROM selected_cluster)),
(4, 'NVIDIA A10G · 6 vCPU · 32 GB', '{"gpu": { "type": "A10", "num": "1", "resource_name": "nvidia.com/gpu", "labels": { "aliyun.accelerator/nvidia_name": "NVIDIA-A10" } }, "cpu": { "type": "Intel", "num": "6" }, "memory": "32Gi" }', ( SELECT cluster_id FROM selected_cluster)),
(5, 'NVIDIA A10G · 2 · 12 vCPU · 48 GB', '{"gpu": { "type": "A10", "num": "2", "resource_name": "nvidia.com/gpu", "labels": { "aliyun.accelerator/nvidia_name": "NVIDIA-A10" } }, "cpu": { "type": "Intel", "num": "12" }, "memory": "48Gi" }', ( SELECT cluster_id FROM selected_cluster)),
(6, 'NVIDIA A10G · 4 · 24 vCPU · 96 GB', '{"gpu": { "type": "A10", "num": "4", "resource_name": "nvidia.com/gpu", "labels": { "aliyun.accelerator/nvidia_name": "NVIDIA-A10" } }, "cpu": { "type": "Intel", "num": "24" }, "memory": "96Gi" }', ( SELECT cluster_id FROM selected_cluster)),
(7, 'NVIDIA A40G · 4 vCPU · 16 GB', '{"gpu": { "type": "A40", "num": "1", "resource_name": "nvidia.com/gpu", "labels": { "nvidia.com/nvidia_name": "NVIDIA-A40" } }, "cpu": { "type": "Intel", "num": "4" }, "memory": "16Gi" }', ( SELECT cluster_id FROM selected_cluster)),
(8, 'NVIDIA A40G · 8 vCPU · 32 GB', '{"gpu": { "type": "A40", "num": "1", "resource_name": "nvidia.com/gpu", "labels": { "nvidia.com/nvidia_name": "NVIDIA-A40" } }, "cpu": { "type": "Intel", "num": "8" }, "memory": "32Gi" }', ( SELECT cluster_id FROM selected_cluster)),
(9, 'NVIDIA A40G · 2 · 12 vCPU · 48 GB', '{"gpu": { "type": "A40", "num": "2", "resource_name": "nvidia.com/gpu", "labels": { "nvidia.com/nvidia_name": "NVIDIA-A40" } }, "cpu": { "type": "Intel", "num": "12" }, "memory": "48Gi" }', ( SELECT cluster_id FROM selected_cluster))
ON CONFLICT (id)
DO UPDATE SET
resources = EXCLUDED.resources,
cluster_id = EXCLUDED.cluster_id;

INSERT INTO space_resources (name, resources, cluster_id)
VALUES
('NVIDIA A10G · 6 vCPU · 32 GB', '{"gpu": { "type": "A10", "num": "1", "resource_name": "nvidia.com/gpu", "labels": { "aliyun.accelerator/nvidia_name": "NVIDIA-A10" } }, "cpu": { "type": "Intel", "num": "6" }, "memory": "32Gi" }', (SELECT cluster_id FROM public.cluster_infos LIMIT 1))
ON CONFLICT (name)
DO UPDATE SET
resources = EXCLUDED.resources,
cluster_id = EXCLUDED.cluster_id;

INSERT INTO space_resources (name, resources, cluster_id)
VALUES
('NVIDIA A10G · 2 · 12 vCPU · 48 GB', '{"gpu": { "type": "A10", "num": "2", "resource_name": "nvidia.com/gpu", "labels": { "aliyun.accelerator/nvidia_name": "NVIDIA-A10" } }, "cpu": { "type": "Intel", "num": "12" }, "memory": "48Gi" }', (SELECT cluster_id FROM cluster_infos LIMIT 1))
ON CONFLICT (name)
DO UPDATE SET
resources = EXCLUDED.resources,
cluster_id = EXCLUDED.cluster_id;

INSERT INTO space_resources (name, resources, cluster_id)
VALUES
('NVIDIA A10G · 4 · 24 vCPU · 96 GB', '{"gpu": { "type": "A10", "num": "4", "resource_name": "nvidia.com/gpu", "labels": { "aliyun.accelerator/nvidia_name": "NVIDIA-A10" } }, "cpu": { "type": "Intel", "num": "24" }, "memory": "96Gi" }', (SELECT cluster_id FROM public.cluster_infos LIMIT 1))
ON CONFLICT (name)
DO UPDATE SET
resources = EXCLUDED.resources,
cluster_id = EXCLUDED.cluster_id;
-- for A40
INSERT INTO space_resources (name, resources, cluster_id)
VALUES
('NVIDIA A40G · 4 vCPU · 16 GB', '{"gpu": { "type": "A40", "num": "1", "resource_name": "nvidia.com/gpu", "labels": { "nvidia.com/nvidia_name": "NVIDIA-A40" } }, "cpu": { "type": "Intel", "num": "4" }, "memory": "16Gi" }', (SELECT cluster_id FROM cluster_infos LIMIT 1))
ON CONFLICT (name)
DO UPDATE SET
resources = EXCLUDED.resources,
cluster_id = EXCLUDED.cluster_id;

INSERT INTO space_resources (name, resources, cluster_id)
VALUES
('NVIDIA A40G · 8 vCPU · 32 GB', '{"gpu": { "type": "A40", "num": "1", "resource_name": "nvidia.com/gpu", "labels": { "nvidia.com/nvidia_name": "NVIDIA-A40" } }, "cpu": { "type": "Intel", "num": "8" }, "memory": "32Gi" }', (SELECT cluster_id FROM cluster_infos LIMIT 1))
ON CONFLICT (name)
DO UPDATE SET
resources = EXCLUDED.resources,
cluster_id = EXCLUDED.cluster_id;


INSERT INTO space_resources (name, resources, cluster_id)
VALUES
('NVIDIA A40G · 2 · 12 vCPU · 48 GB', '{"gpu": { "type": "A40", "num": "2", "resource_name": "nvidia.com/gpu", "labels": { "nvidia.com/nvidia_name": "NVIDIA-A40" } }, "cpu": { "type": "Intel", "num": "12" }, "memory": "48Gi" }', (SELECT cluster_id FROM cluster_infos LIMIT 1))
ON CONFLICT (name)
DO UPDATE SET
resources = EXCLUDED.resources,
cluster_id = EXCLUDED.cluster_id;
name = EXCLUDED.name,
resources = EXCLUDED.resources,
cluster_id = EXCLUDED.cluster_id;
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🛠️ Refactor suggestion

Enhance error handling for cluster selection.

The current implementation silently selects the first cluster without validation. This could lead to incorrect resource allocation if multiple clusters exist or none are found.

 WITH selected_cluster AS (
     SELECT
         cluster_id
     FROM
         public.cluster_infos
-    LIMIT 1)
+    LIMIT 1),
+cluster_validation AS (
+    SELECT CASE
+        WHEN NOT EXISTS (SELECT 1 FROM selected_cluster) 
+        THEN RAISE EXCEPTION 'No clusters found in cluster_infos'
+        END
+)
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
WITH selected_cluster AS (
SELECT
cluster_id
FROM
public.cluster_infos
LIMIT 1)
INSERT INTO public.space_resources (id, name, resources, cluster_id)
VALUES
(1, 'CPU basic · 0.5 vCPU · 1 GB', '{ "cpu": { "type": "Intel", "num": "0.5" }, "memory": "1Gi" }', ( SELECT cluster_id FROM selected_cluster)),
(2, 'CPU basic · 2 vCPU · 4 GB', '{ "cpu": { "type": "Intel", "num": "2" }, "memory": "4Gi" }', ( SELECT cluster_id FROM selected_cluster)),
(3, 'NVIDIA A10G · 4 vCPU · 16 GB', '{"gpu": { "type": "A10", "num": "1", "resource_name": "nvidia.com/gpu", "labels": { "aliyun.accelerator/nvidia_name": "NVIDIA-A10" } }, "cpu": { "type": "Intel", "num": "4" }, "memory": "16Gi" }', ( SELECT cluster_id FROM selected_cluster)),
(4, 'NVIDIA A10G · 6 vCPU · 32 GB', '{"gpu": { "type": "A10", "num": "1", "resource_name": "nvidia.com/gpu", "labels": { "aliyun.accelerator/nvidia_name": "NVIDIA-A10" } }, "cpu": { "type": "Intel", "num": "6" }, "memory": "32Gi" }', ( SELECT cluster_id FROM selected_cluster)),
(5, 'NVIDIA A10G · 2 · 12 vCPU · 48 GB', '{"gpu": { "type": "A10", "num": "2", "resource_name": "nvidia.com/gpu", "labels": { "aliyun.accelerator/nvidia_name": "NVIDIA-A10" } }, "cpu": { "type": "Intel", "num": "12" }, "memory": "48Gi" }', ( SELECT cluster_id FROM selected_cluster)),
(6, 'NVIDIA A10G · 4 · 24 vCPU · 96 GB', '{"gpu": { "type": "A10", "num": "4", "resource_name": "nvidia.com/gpu", "labels": { "aliyun.accelerator/nvidia_name": "NVIDIA-A10" } }, "cpu": { "type": "Intel", "num": "24" }, "memory": "96Gi" }', ( SELECT cluster_id FROM selected_cluster)),
(7, 'NVIDIA A40G · 4 vCPU · 16 GB', '{"gpu": { "type": "A40", "num": "1", "resource_name": "nvidia.com/gpu", "labels": { "nvidia.com/nvidia_name": "NVIDIA-A40" } }, "cpu": { "type": "Intel", "num": "4" }, "memory": "16Gi" }', ( SELECT cluster_id FROM selected_cluster)),
(8, 'NVIDIA A40G · 8 vCPU · 32 GB', '{"gpu": { "type": "A40", "num": "1", "resource_name": "nvidia.com/gpu", "labels": { "nvidia.com/nvidia_name": "NVIDIA-A40" } }, "cpu": { "type": "Intel", "num": "8" }, "memory": "32Gi" }', ( SELECT cluster_id FROM selected_cluster)),
(9, 'NVIDIA A40G · 2 · 12 vCPU · 48 GB', '{"gpu": { "type": "A40", "num": "2", "resource_name": "nvidia.com/gpu", "labels": { "nvidia.com/nvidia_name": "NVIDIA-A40" } }, "cpu": { "type": "Intel", "num": "12" }, "memory": "48Gi" }', ( SELECT cluster_id FROM selected_cluster))
ON CONFLICT (id)
DO UPDATE SET
resources = EXCLUDED.resources,
cluster_id = EXCLUDED.cluster_id;
INSERT INTO space_resources (name, resources, cluster_id)
VALUES
('NVIDIA A10G · 6 vCPU · 32 GB', '{"gpu": { "type": "A10", "num": "1", "resource_name": "nvidia.com/gpu", "labels": { "aliyun.accelerator/nvidia_name": "NVIDIA-A10" } }, "cpu": { "type": "Intel", "num": "6" }, "memory": "32Gi" }', (SELECT cluster_id FROM public.cluster_infos LIMIT 1))
ON CONFLICT (name)
DO UPDATE SET
resources = EXCLUDED.resources,
cluster_id = EXCLUDED.cluster_id;
INSERT INTO space_resources (name, resources, cluster_id)
VALUES
('NVIDIA A10G · 2 · 12 vCPU · 48 GB', '{"gpu": { "type": "A10", "num": "2", "resource_name": "nvidia.com/gpu", "labels": { "aliyun.accelerator/nvidia_name": "NVIDIA-A10" } }, "cpu": { "type": "Intel", "num": "12" }, "memory": "48Gi" }', (SELECT cluster_id FROM cluster_infos LIMIT 1))
ON CONFLICT (name)
DO UPDATE SET
resources = EXCLUDED.resources,
cluster_id = EXCLUDED.cluster_id;
INSERT INTO space_resources (name, resources, cluster_id)
VALUES
('NVIDIA A10G · 4 · 24 vCPU · 96 GB', '{"gpu": { "type": "A10", "num": "4", "resource_name": "nvidia.com/gpu", "labels": { "aliyun.accelerator/nvidia_name": "NVIDIA-A10" } }, "cpu": { "type": "Intel", "num": "24" }, "memory": "96Gi" }', (SELECT cluster_id FROM public.cluster_infos LIMIT 1))
ON CONFLICT (name)
DO UPDATE SET
resources = EXCLUDED.resources,
cluster_id = EXCLUDED.cluster_id;
-- for A40
INSERT INTO space_resources (name, resources, cluster_id)
VALUES
('NVIDIA A40G · 4 vCPU · 16 GB', '{"gpu": { "type": "A40", "num": "1", "resource_name": "nvidia.com/gpu", "labels": { "nvidia.com/nvidia_name": "NVIDIA-A40" } }, "cpu": { "type": "Intel", "num": "4" }, "memory": "16Gi" }', (SELECT cluster_id FROM cluster_infos LIMIT 1))
ON CONFLICT (name)
DO UPDATE SET
resources = EXCLUDED.resources,
cluster_id = EXCLUDED.cluster_id;
INSERT INTO space_resources (name, resources, cluster_id)
VALUES
('NVIDIA A40G · 8 vCPU · 32 GB', '{"gpu": { "type": "A40", "num": "1", "resource_name": "nvidia.com/gpu", "labels": { "nvidia.com/nvidia_name": "NVIDIA-A40" } }, "cpu": { "type": "Intel", "num": "8" }, "memory": "32Gi" }', (SELECT cluster_id FROM cluster_infos LIMIT 1))
ON CONFLICT (name)
DO UPDATE SET
resources = EXCLUDED.resources,
cluster_id = EXCLUDED.cluster_id;
INSERT INTO space_resources (name, resources, cluster_id)
VALUES
('NVIDIA A40G · 2 · 12 vCPU · 48 GB', '{"gpu": { "type": "A40", "num": "2", "resource_name": "nvidia.com/gpu", "labels": { "nvidia.com/nvidia_name": "NVIDIA-A40" } }, "cpu": { "type": "Intel", "num": "12" }, "memory": "48Gi" }', (SELECT cluster_id FROM cluster_infos LIMIT 1))
ON CONFLICT (name)
DO UPDATE SET
resources = EXCLUDED.resources,
cluster_id = EXCLUDED.cluster_id;
name = EXCLUDED.name,
resources = EXCLUDED.resources,
cluster_id = EXCLUDED.cluster_id;
WITH selected_cluster AS (
SELECT
cluster_id
FROM
public.cluster_infos
LIMIT 1),
cluster_validation AS (
SELECT CASE
WHEN NOT EXISTS (SELECT 1 FROM selected_cluster)
THEN RAISE EXCEPTION 'No clusters found in cluster_infos'
END
)
INSERT INTO public.space_resources (id, name, resources, cluster_id)
VALUES
(1, 'CPU basic · 0.5 vCPU · 1 GB', '{ "cpu": { "type": "Intel", "num": "0.5" }, "memory": "1Gi" }', ( SELECT cluster_id FROM selected_cluster)),
(2, 'CPU basic · 2 vCPU · 4 GB', '{ "cpu": { "type": "Intel", "num": "2" }, "memory": "4Gi" }', ( SELECT cluster_id FROM selected_cluster)),
(3, 'NVIDIA A10G · 4 vCPU · 16 GB', '{"gpu": { "type": "A10", "num": "1", "resource_name": "nvidia.com/gpu", "labels": { "aliyun.accelerator/nvidia_name": "NVIDIA-A10" } }, "cpu": { "type": "Intel", "num": "4" }, "memory": "16Gi" }', ( SELECT cluster_id FROM selected_cluster)),
(4, 'NVIDIA A10G · 6 vCPU · 32 GB', '{"gpu": { "type": "A10", "num": "1", "resource_name": "nvidia.com/gpu", "labels": { "aliyun.accelerator/nvidia_name": "NVIDIA-A10" } }, "cpu": { "type": "Intel", "num": "6" }, "memory": "32Gi" }', ( SELECT cluster_id FROM selected_cluster)),
(5, 'NVIDIA A10G · 2 · 12 vCPU · 48 GB', '{"gpu": { "type": "A10", "num": "2", "resource_name": "nvidia.com/gpu", "labels": { "aliyun.accelerator/nvidia_name": "NVIDIA-A10" } }, "cpu": { "type": "Intel", "num": "12" }, "memory": "48Gi" }', ( SELECT cluster_id FROM selected_cluster)),
(6, 'NVIDIA A10G · 4 · 24 vCPU · 96 GB', '{"gpu": { "type": "A10", "num": "4", "resource_name": "nvidia.com/gpu", "labels": { "aliyun.accelerator/nvidia_name": "NVIDIA-A10" } }, "cpu": { "type": "Intel", "num": "24" }, "memory": "96Gi" }', ( SELECT cluster_id FROM selected_cluster)),
(7, 'NVIDIA A40G · 4 vCPU · 16 GB', '{"gpu": { "type": "A40", "num": "1", "resource_name": "nvidia.com/gpu", "labels": { "nvidia.com/nvidia_name": "NVIDIA-A40" } }, "cpu": { "type": "Intel", "num": "4" }, "memory": "16Gi" }', ( SELECT cluster_id FROM selected_cluster)),
(8, 'NVIDIA A40G · 8 vCPU · 32 GB', '{"gpu": { "type": "A40", "num": "1", "resource_name": "nvidia.com/gpu", "labels": { "nvidia.com/nvidia_name": "NVIDIA-A40" } }, "cpu": { "type": "Intel", "num": "8" }, "memory": "32Gi" }', ( SELECT cluster_id FROM selected_cluster)),
(9, 'NVIDIA A40G · 2 · 12 vCPU · 48 GB', '{"gpu": { "type": "A40", "num": "2", "resource_name": "nvidia.com/gpu", "labels": { "nvidia.com/nvidia_name": "NVIDIA-A40" } }, "cpu": { "type": "Intel", "num": "12" }, "memory": "48Gi" }', ( SELECT cluster_id FROM selected_cluster))
ON CONFLICT (id)
DO UPDATE SET
name = EXCLUDED.name,
resources = EXCLUDED.resources,
cluster_id = EXCLUDED.cluster_id;

@wayneliu0019 wayneliu0019 added this pull request to the merge queue Dec 24, 2024
Merged via the queue into main with commit f4dc9bf Dec 24, 2024
1 check passed
@wayneliu0019 wayneliu0019 deleted the fix-incompatible-sql-script branch December 24, 2024 05:45
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The StarShip CodeReviewer was triggered but terminated because it encountered an issue: The MR state is not opened.

Tips

CodeReview Commands (invoked as MR or PR comments)

  • @codegpt /review to trigger an code review.
  • @codegpt /evaluate to trigger code evaluation process.
  • @codegpt /describe to regenerate the summary of the MR.
  • @codegpt /secscan to scan security vulnerabilities for the MR or the Repository.
  • @codegpt /help to get help.

CodeReview Discussion Chat

There are 2 ways to chat with Starship CodeReview:

  • Review comments: Directly reply to a review comment made by StarShip.
    Example:
    • @codegpt How to fix this bug?
  • Files and specific lines of code (under the "Files changed" tab):
    Tag @codegpt in a new review comment at the desired location with your query.
    Examples:
    • @codegpt generate unit testing code for this code snippet.

Note: Be mindful of the bot's finite context window.
It's strongly recommended to break down tasks such as reading entire modules into smaller chunks.
For a focused discussion, use review comments to chat about specific files and their changes, instead of using the MR/PR comments.

CodeReview Documentation and Community

  • Visit our Documentation
    for detailed information on how to use Starship CodeReview.

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