When these criteria are not met, Prisma Client handles the upsert. To use a database upsert, Prisma Client sends the SQL construction INSERT ... ON CONFLICT SET .. WHERE to the database. Database upsert prerequisites Prisma Client can use database upserts if your stack meets the following...
CREATE SCHEMA IF NOT EXISTS "auth"; CREATE SCHEMA IF NOT EXISTS "extensions"; create extension if not exists "uuid-ossp" with schema extensions; create extension if not exists pgcrypto with schema extensions; create extension if not exists pgjwt with schema extensions; grant usage on schema pub...
We need a way to efficiently insert many rows of data. For small amounts of data, a simple batch API might be sufficient, as the database can handle all the operations in a short time. This could either be exposed through operations similar to our nested create API as described below, ...
With SQLite, createMany() works exactly the same way from an API standpoint as it does with other databases except it does not support the skipDuplicates option. At the behavior level, SQLite will split createMany() entries into multiple INSERT queries when the model in your schema contains ...
对PRISMA的研究已经持续了一周了。虽然还没有完全破解PRISMA最终各种滤镜算法的奥妙，但是确实得到了不少...
userRepository.insert({ name: 'Alice', }) // sequelize const user = User.build({ name: 'Alice', }) await user.save() // Mongoose const user = await User.create({ name: 'Alice', email: 'alice@prisma.io', }) // prisma
NOT IDEMPOTENT: Upsert (update-or-insert) a user in the database with email address "letoya@prisma.io". The User table does not enforce unique email addresses. The effect on the database is different if you run the logic once (one user created) or ten times (ten users created). ...
createMany() is a method on Prisma Client, released back in version 2.16.0, that lets you insert multiple records into your database at once. This can be really useful when seeding your database or inserting bulk data. Here is an example of using createMany() to create new users: const...
You will quickly realize when data grows if indexes are working or not. Indexes are not free, they take space and slow down insert/update, to use with moderation 😄 P.s. to test just create 500k seed data entries in your db, and run your queries to see where is the bottleneck 🚀...
DROP TABLE IF EXISTS `show`; /*!40101 SET @saved_cs_client = @@character_set_client */; /*!50503 SET character_set_client = utf8mb4 */; CREATE TABLE `show` ( `id` int unsigned NOT NULL AUTO_INCREMENT, `uuid` varchar(40) NOT NULL DEFAULT (hex(uuid_to_bin(uuid())), `start...