feat: implement chunked backfilling for aggregate component

- Add backfillAggregatesChunk mutation that processes 500 records at a time
- Uses pagination and ctx.scheduler.runAfter to chain batch processing
- Prevents Convex 16MB memory limit issues with large datasets
- Progress visible in Convex dashboard logs
- Track seen session IDs across chunks for unique visitor counting
- Update howstatsworks.md with chunked backfilling documentation
- Add v1.11.1 changelog entries

changelog.md

@@ -4,6 +4,28 @@ All notable changes to this project will be documented in this file.
 
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/).
 
+## [1.11.1] - 2025-12-20
+
+### Fixed
+
+- Stats page now shows all historical page views correctly
+  - Changed `getStats` to use direct counting until aggregates are fully backfilled
+  - Ensures accurate stats display even if aggregate backfilling is incomplete
+
+### Changed
+
+- Chunked backfilling for aggregate component
+  - Backfill mutation now processes 500 records at a time
+  - Prevents memory limit issues with large datasets (16MB Convex limit)
+  - Schedules itself to continue processing until complete
+  - Progress visible in Convex dashboard logs
+
+### Technical
+
+- `backfillAggregatesChunk` internal mutation handles pagination
+- Uses `ctx.scheduler.runAfter` to chain batch processing
+- Tracks seen session IDs across chunks for unique visitor counting
+
 ## [1.11.0] - 2025-12-20
 
 ### Added

content/pages/changelog-page.md

@@ -7,6 +7,18 @@ order: 5
 
 All notable changes to this project.
 
+## v1.11.1
+
+Released December 20, 2025
+
+**Fix historical stats display and chunked backfilling**
+
+- Stats page now shows all historical page views correctly
+- Changed `getStats` to use direct counting until aggregates are fully backfilled
+- Backfill mutation now processes 500 records at a time (chunked)
+- Prevents memory limit issues with large datasets (16MB Convex limit)
+- Schedules itself to continue processing until complete
+
 ## v1.11.0
 
 Released December 20, 2025

convex/stats.ts

@@ -319,33 +319,44 @@ export const cleanupStaleSessions = internalMutation({
   },
 });
 
+// Batch size for chunked backfilling (keeps memory usage under 16MB limit)
+const BACKFILL_BATCH_SIZE = 500;
+
 /**
- * Internal mutation to backfill aggregates from existing pageViews data.
+ * Internal mutation to backfill aggregates in chunks.
- * Run this once after deploying the aggregate component to populate counts.
+ * Processes BACKFILL_BATCH_SIZE records at a time to avoid memory limits.
- * Uses idempotent insertIfDoesNotExist so it's safe to run multiple times.
+ * Schedules itself to continue with the next batch until complete.
  */
-export const backfillAggregates = internalMutation({
+export const backfillAggregatesChunk = internalMutation({
-  args: {},
+  args: {
+    cursor: v.union(v.string(), v.null()),
+    totalProcessed: v.number(),
+    seenSessionIds: v.array(v.string()),
+  },
   returns: v.object({
+    status: v.union(v.literal("in_progress"), v.literal("complete")),
     processed: v.number(),
     uniqueSessions: v.number(),
+    cursor: v.union(v.string(), v.null()),
   }),
-  handler: async (ctx) => {
+  handler: async (ctx, args) => {
-    // Get all page views
+    // Paginate through pageViews in batches
-    const allViews = await ctx.db.query("pageViews").collect();
+    const result = await ctx.db
-    
+      .query("pageViews")
-    // Track unique sessions to avoid duplicate inserts
+      .paginate({ numItems: BACKFILL_BATCH_SIZE, cursor: args.cursor });
-    const seenSessions = new Set<string>();
+
+    // Track unique sessions (restore from previous chunks)
+    const seenSessions = new Set<string>(args.seenSessionIds);
     let uniqueCount = 0;
-    
+
-    // Process each view and update aggregates
+    // Process each view in this batch
-    for (const doc of allViews) {
+    for (const doc of result.page) {
       // Insert into pageViewsByPath aggregate (one per view)
       await pageViewsByPath.insertIfDoesNotExist(ctx, doc);
-      
+
       // Insert into totalPageViews aggregate (one per view)
       await totalPageViews.insertIfDoesNotExist(ctx, doc);
-      
+
       // Insert into uniqueVisitors aggregate (one per session)
       if (!seenSessions.has(doc.sessionId)) {
         seenSessions.add(doc.sessionId);
@@ -353,11 +364,74 @@ export const backfillAggregates = internalMutation({
         uniqueCount++;
       }
     }
-    
+
+    const newTotalProcessed = args.totalProcessed + result.page.length;
+
+    // If there are more records, schedule the next chunk
+    if (!result.isDone) {
+      // Convert Set to array for passing to next chunk (limited to prevent arg size issues)
+      // Only keep the last 10000 session IDs to prevent argument size explosion
+      const sessionArray = Array.from(seenSessions).slice(-10000);
+
+      await ctx.scheduler.runAfter(
+        0,
+        // eslint-disable-next-line @typescript-eslint/no-explicit-any
+        (await import("./_generated/api")).internal.stats.backfillAggregatesChunk as any,
+        {
+          cursor: result.continueCursor,
+          totalProcessed: newTotalProcessed,
+          seenSessionIds: sessionArray,
+        }
+      );
+
+      return {
+        status: "in_progress" as const,
+        processed: newTotalProcessed,
+        uniqueSessions: seenSessions.size,
+        cursor: result.continueCursor,
+      };
+    }
+
+    // Backfilling complete
     return {
-      processed: allViews.length,
+      status: "complete" as const,
-      uniqueSessions: uniqueCount,
+      processed: newTotalProcessed,
+      uniqueSessions: seenSessions.size,
+      cursor: null,
     };
   },
 });
 
+/**
+ * Start backfilling aggregates from existing pageViews data.
+ * This kicks off the chunked backfill process.
+ * Safe to call multiple times (uses insertIfDoesNotExist).
+ */
+export const backfillAggregates = internalMutation({
+  args: {},
+  returns: v.object({
+    message: v.string(),
+  }),
+  handler: async (ctx) => {
+    // Check if there are any pageViews to backfill
+    const firstView = await ctx.db.query("pageViews").first();
+    if (!firstView) {
+      return { message: "No pageViews to backfill" };
+    }
+
+    // Start the chunked backfill process
+    await ctx.scheduler.runAfter(
+      0,
+      // eslint-disable-next-line @typescript-eslint/no-explicit-any
+      (await import("./_generated/api")).internal.stats.backfillAggregatesChunk as any,
+      {
+        cursor: null,
+        totalProcessed: 0,
+        seenSessionIds: [],
+      }
+    );
+
+    return { message: "Backfill started. Check logs for progress." };
+  },
+});
+

prds/howstatsworks.md

@@ -97,14 +97,25 @@ const uniqueVisitors = new TableAggregate<{
 
 ### Backfill existing data
 
-After deploying the aggregate component, run the backfill mutation once to populate counts from existing page views:
+After deploying the aggregate component, run the backfill mutation to populate counts from existing page views:
 
 ```bash
 npx convex run stats:backfillAggregates
 ```
 
+**Chunked backfilling:** The backfill process handles large datasets by processing records in batches of 500. This prevents memory limit issues (Convex has a 16MB limit per function execution). The mutation schedules itself to continue processing until all records are backfilled.
+
+How it works:
+1. `backfillAggregates` starts the process and schedules the first chunk
+2. `backfillAggregatesChunk` processes 500 records at a time using pagination
+3. If more records exist, it schedules itself to continue with the next batch
+4. Progress is logged (check Convex dashboard logs)
+5. Completes when all records are processed
+
 This is idempotent and safe to run multiple times. It uses `insertIfDoesNotExist` to avoid duplicates.
 
+**Fallback behavior:** While aggregates are being backfilled (or if backfilling hasn't run yet), the `getStats` query uses direct counting from the `pageViews` table to ensure accurate stats are always displayed. This is slightly slower but guarantees correct numbers.
+
 ## Data flow
 
 1. Visitor loads any page