How can I speed up Bubble with large datasets and optimized queries?

[OliverVM]

I'm always looking for new easy food recipes that don't take forever to make. With work and everything, I need something quick but still tasty. Lately I've been making a lot of sheet pan dinners and one-pot recipes, but I'm getting bored with my rotation.

What are your go-to easy food recipes when you're short on time but still want a proper meal? I'm especially interested in recipes that use pantry staples and don't require a ton of prep work.

[DanielIT]

Oh I feel you on the sheet pan dinner burnout. One of my favorite easy food recipes is what I call lazy chicken fajitas." Just slice chicken breasts, bell peppers, and onions, toss with fajita seasoning and a little oil, and roast on a sheet pan. Takes like 25 minutes total and you can serve with tortillas and whatever toppings you have.

Another one is pasta with canned tuna, capers, lemon, and red pepper flakes. Sounds weird but it's actually amazing and comes together in the time it takes to boil pasta.

[Larry_R]

For easy food recipes, I swear by my instant pot. Chicken and rice is my go-to - just dump chicken thighs, rice, broth, and whatever veggies you have. Set it and forget it for 20 minutes. Comes out perfect every time.

Also, breakfast for dinner is always a win. Scrambled eggs with whatever veggies need using up, maybe some toast or potatoes. Super quick and feels like a treat.

[Andrew_W]

My current favorite easy food recipe is what I call pantry pasta." Saute garlic and red pepper flakes in olive oil, add a can of chickpeas (drained) and cook until they're crispy, then toss with cooked pasta and a squeeze of lemon. Sometimes I add spinach if I have it.

Also, quesadillas are underrated. You can put literally anything in them - leftover chicken, beans, cheese, veggies. Cook in a dry pan until crispy. Takes 5 minutes.

[NicholasVG]

I make a lot of bowl" meals for easy food recipes. Cook some grain (quinoa, rice, farro), roast whatever veggies I have, add a protein (canned beans, leftover chicken, tofu), and top with a simple sauce. My go-to sauce is just Greek yogurt mixed with lemon juice and herbs.

Also, frozen shrimp is a lifesaver. Thaws quickly and cooks in minutes. I do shrimp stir-fry with frozen veggies and bottled stir-fry sauce when I'm really pressed for time.

[Lily82]

For easy food recipes, I've been making a lot of deconstructed" meals lately. Like instead of making a complicated curry, I'll roast chicken with curry spices and serve with rice and a simple cucumber salad. All the flavors without the fuss.

Also, soup is always easy. Saute onions and garlic, add broth and whatever veggies/protein you have, simmer. Freezes well too so you can make a big batch.

[LoganSP]

I’ve been building a client portal in Bubble and hit a wall where the performance really slows down when loading large datasets of records. I’m trying to figure out if I should rework the database queries and use more efficient filters, or if the issue is that I’ve outgrown what’s possible without writing custom code.

[RileyGM]

I started paging and lazy loading. The first full load was dragging, but when I switched to 50 or 100 items per page, it finally felt reasonable. The lag mostly came from rendering the list, not the data fetch, so I kept the pages small.

[LunaR]

I cut down what I pulled at once. I stopped fetching every column and only pulled what the UI actually showed. With fewer fields, the render time dropped a decent chunk, though you still hit slowdowns if you go deep lists.

[JacobLJ]

I tried a precompute approach. A nightly workflow built a smaller summary table for the portal to serve, and the live detail view pulled from that summary most of the time. It helped for the landing views but would break if users needed full detail instantly.

[OliverC]

I watched the logs and noticed the real bottleneck sometimes wasn't the DB query at all but the front end loop rendering thousands of group items. Even when the data came back fast, the page laboriously painted every row.

[CharlesM]

I split the dataset into separate views: a recent tab with a compact list and an all items tab that loads on demand. It improved perceived speed, but the all items section still can choke if you try to render too many rows at once.

[AlexanderL]

I know this sounds vague, but I'm not sure the size is the issue. Maybe the problem is the way the UI reuses elements and repaints them on every change. A tiny tweak in how you refresh data sometimes makes a big diff.

[Scott90]

I avoided adding more custom code and kept things within the builder, but I did toy with reducing image sizes and using placeholders; the time saved was small but noticeable on mobile.