⚡ Bolt: [performance improvement] Concurrent db queries for agents dashboard#102
⚡ Bolt: [performance improvement] Concurrent db queries for agents dashboard#102bobdivx wants to merge 1 commit into
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…shboard 💡 **What**: Replaced sequential `await db.select()` queries in `src/pages/agents.astro` with concurrent execution using `Promise.all()`. 🎯 **Why**: The original implementation awaited three independent database calls (`AgentInstruction`, `AgentTask`, and `AgentAppIssue`) sequentially, leading to an N+1 fetching bottleneck during Astro SSR. 📊 **Impact**: Reduces initial SSR data loading time. The total DB fetching wait time is now determined by the slowest individual query, rather than the sum of all three query times. 🔬 **Measurement**: Verify SSR load times in the network tab when hitting `/agents`. Also logged the pattern learning in `.jules/bolt.md`. Co-authored-by: bobdivx <6737167+bobdivx@users.noreply.github.com>
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Code Review
This pull request optimizes SSR load times in src/pages/agents.astro by parallelizing independent database queries using Promise.all, and documents this learning in .jules/bolt.md. The review feedback suggests further optimizing these queries by selecting only the specific columns needed for statistics rather than fetching all columns, which will reduce database I/O and memory usage.
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| const [instructions, tasks, issues] = await Promise.all([ | ||
| db.select().from(AgentInstruction), | ||
| db.select().from(AgentTask), | ||
| db.select().from(AgentAppIssue) | ||
| ]); |
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Efficiency: Avoid Over-fetching Columns in Database Queries
Currently, the queries select all columns (db.select().from(...)) for AgentInstruction, AgentTask, and AgentAppIssue. However, the dashboard only uses a few specific fields to compute the statistics:
instructionsonly needsenabledto filter and count.tasksonly needsagentIdto count total tasks and find unique agents with tasks.issuesonly needsstatusto filter and count pending issues.
Selecting all columns (which may include large text fields, metadata, or JSON payloads) can lead to unnecessary memory usage, database I/O, and network overhead as the tables grow. Specifying only the required columns in the select clause significantly improves query performance and reduces SSR payload size.
const [instructions, tasks, issues] = await Promise.all([
db.select({ enabled: AgentInstruction.enabled }).from(AgentInstruction),
db.select({ agentId: AgentTask.agentId }).from(AgentTask),
db.select({ status: AgentAppIssue.status }).from(AgentAppIssue)
]);
1 participant
This pull request introduces a performance optimization to the
src/pages/agents.astrodashboard. It replaces three independent sequential database queries (AgentInstruction,AgentTask, andAgentAppIssue) with a single concurrentPromise.all()execution.This eliminates the sequential blocking (N+1 delay) during server-side rendering, reducing the total query wait time to the duration of the slowest individual query rather than their sum.
Additionally, a new journal entry has been added to
.jules/bolt.mddocumenting this finding and strategy. All tests have passed to verify no regressions were introduced.PR created automatically by Jules for task 11932520118464904040 started by @bobdivx