Improving DB Querying

[krrishdholakia]

1. Optimize Data Types
   Ensure data types are the most efficient for their purpose, reducing storage and improving query performance.

// Example: Use Int or BigInt for numerical IDs if suits your ID generation strategy
organization_id Int @id @default(autoincrement())

2. Indexing
   Implement indexes on columns frequently used in queries to speed up read operations.

// Single column index
organization_alias String @index

// Compound index for multi-column queries
@@index([organization_id, updated_at])

3. Foreign Key Constraints
   Define clear foreign key relationships for data integrity and efficient joins.

// Example: Ensuring LiteLLM_TeamTable has a clear relation to LiteLLM_OrganizationTable
organization_id Int @index
litellm_organization_table LiteLLM_OrganizationTable @relation(fields: [organization_id], references: [id])

4. Use Appropriate Constraints and Defaults
   Set sensible defaults and constraints to simplify logic and reduce null checks.

// Example: Set a default value and non-nullable fields where applicable
spend Float @default(0.0)

5. Normalization vs. Denormalization

Balance between normalization for data integrity and denormalization for read performance. Use denormalization cautiously, when read performance is a priority over write performance.

6. Query Optimization
   Leverage Prisma's capabilities for efficient querying, like selective field querying, to minimize data transfer.

7. Batching and Transactions
   Use Prisma's support for transactions and batching to reduce the number of round-trips to the database for multiple operations.

// Example: Using a transaction for batch updates
await prisma.$transaction([
  prisma.liteLLM_OrganizationTable.update({...}),
  prisma.liteLLM_TeamTable.update({...}),
]);

8. Review JSON Fields
   For Json fields, ensure that the flexibility they provide is necessary, as querying and indexing are less efficient than scalar types.

Example of Implementing Recommendations:

Before:

model LiteLLM_OrganizationTable {
  organization_id String @id @default(uuid())
  organization_alias  String
  // other fields
}

After implementing optimizations:

model LiteLLM_OrganizationTable {
  organization_id Int @id @default(autoincrement())
  organization_alias String @index
  // Updated data types and added indexing
  // other fields
  @@index([organization_id, updated_at]) // Compound index for improved query performance
}

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Further improvements

Move to using prisma migrate instead of prisma db push. This will speed up the proxy startup time, as prisma can check for any schema changes locally.

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Open Questions

1. How do we safely roll out these perf improvements?

[krrishdholakia]

cc: @Manouchehri