⚡ Bolt: [performance improvement]#63
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Co-authored-by: bobdivx <6737167+bobdivx@users.noreply.github.com>
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Code Review
This pull request optimizes the GET endpoint in work-overview.ts by parallelizing independent database queries using Promise.all to reduce total wait time, alongside minor code formatting updates. The reviewer suggests further optimizing performance by selecting only the required columns instead of fetching entire rows, which would reduce database I/O, network payload size, and memory usage.
| const [projectRows, issues, taskRows, requestRows, depRows] = | ||
| await Promise.all([ | ||
| db.select().from(Project), | ||
| db | ||
| .select() | ||
| .from(AgentAppIssue) | ||
| .orderBy(desc(AgentAppIssue.createdAt)) | ||
| .limit(400), | ||
| db.select().from(AgentTask).limit(1200), | ||
| db.select().from(Request).orderBy(desc(Request.createdAt)).limit(200), | ||
| db | ||
| .select() | ||
| .from(AgentDependencyRequest) | ||
| .orderBy(desc(AgentDependencyRequest.createdAt)) | ||
| .limit(120), | ||
| ]); |
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To further optimize the performance of this endpoint, consider selecting only the required columns instead of fetching entire rows. Currently, tables like AgentTask and AgentAppIssue contain potentially large text columns (such as output and detail) that are completely unused in this endpoint. Selecting only the necessary columns will reduce database I/O, network payload size, and memory usage.
const [projectRows, issues, taskRows, requestRows, depRows] =
await Promise.all([
db
.select({
id: Project.id,
name: Project.name,
swarmEnabled: Project.swarmEnabled,
})
.from(Project),
db
.select({
id: AgentAppIssue.id,
projectId: AgentAppIssue.projectId,
url: AgentAppIssue.url,
errorType: AgentAppIssue.errorType,
title: AgentAppIssue.title,
status: AgentAppIssue.status,
reportedByAgentId: AgentAppIssue.reportedByAgentId,
assigneeAgentId: AgentAppIssue.assigneeAgentId,
createdAt: AgentAppIssue.createdAt,
updatedAt: AgentAppIssue.updatedAt,
})
.from(AgentAppIssue)
.orderBy(desc(AgentAppIssue.createdAt))
.limit(400),
db
.select({
id: AgentTask.id,
agentId: AgentTask.agentId,
task: AgentTask.task,
input: AgentTask.input,
status: AgentTask.status,
updatedAt: AgentTask.updatedAt,
})
.from(AgentTask)
.limit(1200),
db
.select({
id: Request.id,
projectId: Request.projectId,
title: Request.title,
content: Request.content,
status: Request.status,
priority: Request.priority,
author: Request.author,
requestType: Request.requestType,
assigneeAgentId: Request.assigneeAgentId,
createdAt: Request.createdAt,
})
.from(Request)
.orderBy(desc(Request.createdAt))
.limit(200),
db
.select({
id: AgentDependencyRequest.id,
projectId: AgentDependencyRequest.projectId,
packageName: AgentDependencyRequest.packageName,
versionSpec: AgentDependencyRequest.versionSpec,
status: AgentDependencyRequest.status,
requestedByAgentId: AgentDependencyRequest.requestedByAgentId,
createdAt: AgentDependencyRequest.createdAt,
})
.from(AgentDependencyRequest)
.orderBy(desc(AgentDependencyRequest.createdAt))
.limit(120),
]);
💡 What: Parallelized database queries using Promise.all in work-overview.ts
🎯 Why: Resolves sequential fetching bottleneck to improve endpoint response time
📊 Impact: Reduces total query wait time to the longest single query
🔬 Measurement: Run pnpm test and verify endpoint latency
PR created automatically by Jules for task 2367311465919978970 started by @bobdivx