rewrite: elysia → hono #9
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| DATABASE_URL="postgresql://comuline:password@localhost:5432/comuline" | |||
There was a problem hiding this comment.
Comment: Hardcoded sensitive information in .dev.example.vars
Solution: Use environment variables or a secure vault service to manage sensitive information instead of hardcoding it in the source code.
!! Make sure the following suggestion is correct before committing it !!
| DATABASE_URL="postgresql://comuline:password@localhost:5432/comuline" | |
| DATABASE_URL="postgresql://username:password@localhost:5432/comuline" # Use environment variables instead |
| CREATE TABLE IF NOT EXISTS "schedule" ( | ||
| "id" text PRIMARY KEY NOT NULL, | ||
| "station_id" text NOT NULL, | ||
| "station_origin_id" text, | ||
| "station_destination_id" text, | ||
| "train_id" text NOT NULL, | ||
| "line" text NOT NULL, | ||
| "route" text NOT NULL, | ||
| "time_departure" time NOT NULL, | ||
| "time_at_destination" time NOT NULL, | ||
| "metadata" jsonb, | ||
| "created_at" timestamp with time zone DEFAULT now(), | ||
| "updated_at" timestamp with time zone DEFAULT now(), | ||
| CONSTRAINT "schedule_id_unique" UNIQUE("id") | ||
| ); |
There was a problem hiding this comment.
Comment: Use of 'IF NOT EXISTS' in SQL migrations can lead to performance issues
Solution: Consider handling migrations in a way that ensures the database schema is in the desired state without relying on 'IF NOT EXISTS'.
!! Make sure the following suggestion is correct before committing it !!
| CREATE TABLE IF NOT EXISTS "schedule" ( | |
| "id" text PRIMARY KEY NOT NULL, | |
| "station_id" text NOT NULL, | |
| "station_origin_id" text, | |
| "station_destination_id" text, | |
| "train_id" text NOT NULL, | |
| "line" text NOT NULL, | |
| "route" text NOT NULL, | |
| "time_departure" time NOT NULL, | |
| "time_at_destination" time NOT NULL, | |
| "metadata" jsonb, | |
| "created_at" timestamp with time zone DEFAULT now(), | |
| "updated_at" timestamp with time zone DEFAULT now(), | |
| CONSTRAINT "schedule_id_unique" UNIQUE("id") | |
| ); | |
| DROP TABLE IF EXISTS "schedule"; CREATE TABLE "schedule" ( ... ); |
| "columns": { | ||
| "id": { | ||
| "name": "id", | ||
| "type": "text", |
There was a problem hiding this comment.
Comment: Use of text type for IDs instead of UUID or integer.
Solution: Change the type of ID fields to UUID or integer for better performance and indexing.
!! Make sure the following suggestion is correct before committing it !!
| "type": "text", | |
| "type": "uuid", |
| "foreignKeys": { | ||
| "schedule_station_id_station_id_fk": { | ||
| "name": "schedule_station_id_station_id_fk", | ||
| "tableFrom": "schedule", | ||
| "tableTo": "station", | ||
| "columnsFrom": [ | ||
| "station_id" | ||
| ], | ||
| "columnsTo": [ | ||
| "id" | ||
| ], | ||
| "onDelete": "cascade", | ||
| "onUpdate": "no action" | ||
| }, |
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Comment: Ensure foreign key constraints are properly defined
Solution: Review the foreign key constraints to ensure they are correctly defined, with appropriate ON DELETE and ON UPDATE actions.
!! Make sure the following suggestion is correct before committing it !!
| "indexes": { | ||
| "station_uidx": { | ||
| "name": "station_uidx", | ||
| "columns": [ | ||
| { | ||
| "expression": "uid", | ||
| "isExpression": false, | ||
| "asc": true, | ||
| "nulls": "last" | ||
| } | ||
| ], | ||
| "isUnique": true, | ||
| "concurrently": false, | ||
| "method": "btree", | ||
| "with": {} | ||
| }, |
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Comment: Optimize index definitions for common queries
Solution: Review the index definitions and ensure they cover the most common query patterns. Consider adding additional indexes for frequently used columns or combinations of columns.
!! Make sure the following suggestion is correct before committing it !!
| "columns": { | ||
| "id": { | ||
| "name": "id", | ||
| "type": "text", |
There was a problem hiding this comment.
Comment: Use of 'text' type for IDs instead of 'UUID' or 'integer'.
Solution: Consider changing the type of 'id', 'station_id', 'train_id', etc., to 'UUID' or 'integer' for better performance and data integrity.
!! Make sure the following suggestion is correct before committing it !!
| "type": "text", | |
| "type": "uuid", |
| "type": "text", | ||
| "primaryKey": true, | ||
| "notNull": true | ||
| }, | ||
| "id": { | ||
| "name": "id", | ||
| "type": "text", | ||
| "primaryKey": false, |
There was a problem hiding this comment.
Comment: Use of 'text' type for IDs instead of more appropriate types.
Solution: Change the type of 'uid' and 'id' columns to 'uuid' or 'integer' for better performance and integrity.
!! Make sure the following suggestion is correct before committing it !!
| "type": "text", | |
| "primaryKey": true, | |
| "notNull": true | |
| }, | |
| "id": { | |
| "name": "id", | |
| "type": "text", | |
| "primaryKey": false, | |
| "type": "uuid", | |
| "type": "uuid", |
| "columnsFrom": [ | ||
| "station_id" | ||
| ], | ||
| "columnsTo": [ | ||
| "id" | ||
| ], | ||
| "onDelete": "cascade", | ||
| "onUpdate": "no action" | ||
| }, | ||
| "schedule_station_origin_id_station_id_fk": { | ||
| "name": "schedule_station_origin_id_station_id_fk", | ||
| "tableFrom": "schedule", | ||
| "tableTo": "station", | ||
| "columnsFrom": [ | ||
| "station_origin_id" | ||
| ], | ||
| "columnsTo": [ | ||
| "id" | ||
| ], | ||
| "onDelete": "set null", | ||
| "onUpdate": "no action" | ||
| }, | ||
| "schedule_station_destination_id_station_id_fk": { | ||
| "name": "schedule_station_destination_id_station_id_fk", | ||
| "tableFrom": "schedule", | ||
| "tableTo": "station", | ||
| "columnsFrom": [ | ||
| "station_destination_id" |
There was a problem hiding this comment.
Comment: Potential SQL injection vulnerability in foreign key definitions
Solution: Use parameterized queries or prepared statements to safely handle user input in the foreign key definitions.
!! Make sure the following suggestion is correct before committing it !!
| "columnsFrom": [ | |
| "station_id" | |
| ], | |
| "columnsTo": [ | |
| "id" | |
| ], | |
| "onDelete": "cascade", | |
| "onUpdate": "no action" | |
| }, | |
| "schedule_station_origin_id_station_id_fk": { | |
| "name": "schedule_station_origin_id_station_id_fk", | |
| "tableFrom": "schedule", | |
| "tableTo": "station", | |
| "columnsFrom": [ | |
| "station_origin_id" | |
| ], | |
| "columnsTo": [ | |
| "id" | |
| ], | |
| "onDelete": "set null", | |
| "onUpdate": "no action" | |
| }, | |
| "schedule_station_destination_id_station_id_fk": { | |
| "name": "schedule_station_destination_id_station_id_fk", | |
| "tableFrom": "schedule", | |
| "tableTo": "station", | |
| "columnsFrom": [ | |
| "station_destination_id" | |
| ['[LINE 256][UPDATED] "station_id"', '[LINE 270][UPDATED] "station_origin_id"', '[LINE 283][UPDATED] "station_destination_id"'] |
| "type": "jsonb", | ||
| "primaryKey": false, | ||
| "notNull": false | ||
| }, | ||
| "created_at": { | ||
| "name": "created_at", | ||
| "type": "timestamp with time zone", | ||
| "primaryKey": false, | ||
| "notNull": true, | ||
| "default": "now()" | ||
| }, | ||
| "updated_at": { | ||
| "name": "updated_at", | ||
| "type": "timestamp with time zone", | ||
| "primaryKey": false, | ||
| "notNull": true, | ||
| "default": "now()" | ||
| } | ||
| }, | ||
| "indexes": { | ||
| "station_uidx": { | ||
| "name": "station_uidx", | ||
| "columns": [ | ||
| { | ||
| "expression": "uid", | ||
| "isExpression": false, | ||
| "asc": true, | ||
| "nulls": "last" | ||
| } | ||
| ], | ||
| "isUnique": true, | ||
| "concurrently": false, | ||
| "method": "btree", | ||
| "with": {} | ||
| }, | ||
| "station_idx": { | ||
| "name": "station_idx", | ||
| "columns": [ | ||
| { | ||
| "expression": "id", | ||
| "isExpression": false, | ||
| "asc": true, | ||
| "nulls": "last" | ||
| } | ||
| ], | ||
| "isUnique": false, | ||
| "concurrently": false, | ||
| "method": "btree", | ||
| "with": {} | ||
| }, | ||
| "station_type_idx": { | ||
| "name": "station_type_idx", | ||
| "columns": [ | ||
| { | ||
| "expression": "type", | ||
| "isExpression": false, | ||
| "asc": true, | ||
| "nulls": "last" | ||
| } | ||
| ], | ||
| "isUnique": false, | ||
| "concurrently": false, | ||
| "method": "btree", | ||
| "with": {} | ||
| } | ||
| }, | ||
| "foreignKeys": {}, | ||
| "compositePrimaryKeys": {}, | ||
| "uniqueConstraints": { | ||
| "station_uid_unique": { | ||
| "name": "station_uid_unique", | ||
| "nullsNotDistinct": false, | ||
| "columns": [ | ||
| "uid" | ||
| ] | ||
| }, | ||
| "station_id_unique": { | ||
| "name": "station_id_unique", | ||
| "nullsNotDistinct": false, | ||
| "columns": [ | ||
| "id" | ||
| ] | ||
| } | ||
| } | ||
| }, | ||
| "public.schedule": { | ||
| "name": "schedule", | ||
| "schema": "", | ||
| "columns": { | ||
| "id": { | ||
| "name": "id", | ||
| "type": "text", | ||
| "primaryKey": true, | ||
| "notNull": true | ||
| }, | ||
| "station_id": { | ||
| "name": "station_id", | ||
| "type": "text", | ||
| "primaryKey": false, | ||
| "notNull": true | ||
| }, | ||
| "station_origin_id": { | ||
| "name": "station_origin_id", | ||
| "type": "text", | ||
| "primaryKey": false, | ||
| "notNull": true | ||
| }, | ||
| "station_destination_id": { | ||
| "name": "station_destination_id", | ||
| "type": "text", | ||
| "primaryKey": false, | ||
| "notNull": true | ||
| }, | ||
| "train_id": { | ||
| "name": "train_id", | ||
| "type": "text", | ||
| "primaryKey": false, | ||
| "notNull": true | ||
| }, | ||
| "line": { | ||
| "name": "line", | ||
| "type": "text", | ||
| "primaryKey": false, | ||
| "notNull": true | ||
| }, | ||
| "route": { | ||
| "name": "route", | ||
| "type": "text", | ||
| "primaryKey": false, | ||
| "notNull": true | ||
| }, | ||
| "departs_at": { | ||
| "name": "departs_at", | ||
| "type": "timestamp with time zone", | ||
| "primaryKey": false, | ||
| "notNull": true, | ||
| "default": "now()" | ||
| }, | ||
| "arrives_at": { | ||
| "name": "arrives_at", | ||
| "type": "timestamp with time zone", | ||
| "primaryKey": false, | ||
| "notNull": true, | ||
| "default": "now()" | ||
| }, | ||
| "metadata": { | ||
| "name": "metadata", | ||
| "type": "jsonb", |
There was a problem hiding this comment.
Comment: Potential performance issues with large metadata columns
Solution: Consider using a more appropriate data type or breaking down the metadata into separate columns if the data is structured and predictable.
!! Make sure the following suggestion is correct before committing it !!
| "type": "jsonb", | |
| "primaryKey": false, | |
| "notNull": false | |
| }, | |
| "created_at": { | |
| "name": "created_at", | |
| "type": "timestamp with time zone", | |
| "primaryKey": false, | |
| "notNull": true, | |
| "default": "now()" | |
| }, | |
| "updated_at": { | |
| "name": "updated_at", | |
| "type": "timestamp with time zone", | |
| "primaryKey": false, | |
| "notNull": true, | |
| "default": "now()" | |
| } | |
| }, | |
| "indexes": { | |
| "station_uidx": { | |
| "name": "station_uidx", | |
| "columns": [ | |
| { | |
| "expression": "uid", | |
| "isExpression": false, | |
| "asc": true, | |
| "nulls": "last" | |
| } | |
| ], | |
| "isUnique": true, | |
| "concurrently": false, | |
| "method": "btree", | |
| "with": {} | |
| }, | |
| "station_idx": { | |
| "name": "station_idx", | |
| "columns": [ | |
| { | |
| "expression": "id", | |
| "isExpression": false, | |
| "asc": true, | |
| "nulls": "last" | |
| } | |
| ], | |
| "isUnique": false, | |
| "concurrently": false, | |
| "method": "btree", | |
| "with": {} | |
| }, | |
| "station_type_idx": { | |
| "name": "station_type_idx", | |
| "columns": [ | |
| { | |
| "expression": "type", | |
| "isExpression": false, | |
| "asc": true, | |
| "nulls": "last" | |
| } | |
| ], | |
| "isUnique": false, | |
| "concurrently": false, | |
| "method": "btree", | |
| "with": {} | |
| } | |
| }, | |
| "foreignKeys": {}, | |
| "compositePrimaryKeys": {}, | |
| "uniqueConstraints": { | |
| "station_uid_unique": { | |
| "name": "station_uid_unique", | |
| "nullsNotDistinct": false, | |
| "columns": [ | |
| "uid" | |
| ] | |
| }, | |
| "station_id_unique": { | |
| "name": "station_id_unique", | |
| "nullsNotDistinct": false, | |
| "columns": [ | |
| "id" | |
| ] | |
| } | |
| } | |
| }, | |
| "public.schedule": { | |
| "name": "schedule", | |
| "schema": "", | |
| "columns": { | |
| "id": { | |
| "name": "id", | |
| "type": "text", | |
| "primaryKey": true, | |
| "notNull": true | |
| }, | |
| "station_id": { | |
| "name": "station_id", | |
| "type": "text", | |
| "primaryKey": false, | |
| "notNull": true | |
| }, | |
| "station_origin_id": { | |
| "name": "station_origin_id", | |
| "type": "text", | |
| "primaryKey": false, | |
| "notNull": true | |
| }, | |
| "station_destination_id": { | |
| "name": "station_destination_id", | |
| "type": "text", | |
| "primaryKey": false, | |
| "notNull": true | |
| }, | |
| "train_id": { | |
| "name": "train_id", | |
| "type": "text", | |
| "primaryKey": false, | |
| "notNull": true | |
| }, | |
| "line": { | |
| "name": "line", | |
| "type": "text", | |
| "primaryKey": false, | |
| "notNull": true | |
| }, | |
| "route": { | |
| "name": "route", | |
| "type": "text", | |
| "primaryKey": false, | |
| "notNull": true | |
| }, | |
| "departs_at": { | |
| "name": "departs_at", | |
| "type": "timestamp with time zone", | |
| "primaryKey": false, | |
| "notNull": true, | |
| "default": "now()" | |
| }, | |
| "arrives_at": { | |
| "name": "arrives_at", | |
| "type": "timestamp with time zone", | |
| "primaryKey": false, | |
| "notNull": true, | |
| "default": "now()" | |
| }, | |
| "metadata": { | |
| "name": "metadata", | |
| "type": "jsonb", | |
| ['[LINE 38][UPDATED] "type": "jsonb"', '[LINE 185][UPDATED] "type": "jsonb"'] |
| @@ -0,0 +1,6 @@ | |||
| DATABASE_URL="postgresql://comuline:password@localhost:5432/comuline" | |||
There was a problem hiding this comment.
Comment: Hardcoded sensitive information in environment variables.
Solution: Use environment variables or secret management tools to handle sensitive information securely.
!! Make sure the following suggestion is correct before committing it !!
| DATABASE_URL="postgresql://comuline:password@localhost:5432/comuline" | |
| DATABASE_URL="postgresql://<username>:<password>@localhost:5432/comuline" # Use environment variables for <username> and <password> |
| DO $$ BEGIN | ||
| ALTER TABLE "schedule" ADD CONSTRAINT "schedule_station_id_station_id_fk" FOREIGN KEY ("station_id") REFERENCES "public"."station"("id") ON DELETE cascade ON UPDATE no action; | ||
| EXCEPTION | ||
| WHEN duplicate_object THEN null; | ||
| END $$; |
There was a problem hiding this comment.
Comment: Potential performance issues with foreign key constraints on large tables.
Solution: Evaluate the necessity of foreign key constraints and consider using them only where data integrity is critical.
!! Make sure the following suggestion is correct before committing it !!
| DO $$ BEGIN | |
| ALTER TABLE "schedule" ADD CONSTRAINT "schedule_station_id_station_id_fk" FOREIGN KEY ("station_id") REFERENCES "public"."station"("id") ON DELETE cascade ON UPDATE no action; | |
| EXCEPTION | |
| WHEN duplicate_object THEN null; | |
| END $$; | |
| -- Consider evaluating the necessity of this foreign key constraint | |
| ALTER TABLE "schedule" ADD CONSTRAINT "schedule_station_id_station_id_fk" FOREIGN KEY ("station_id") REFERENCES "public"."station"("id") ON DELETE no action ON UPDATE no action; |
| "columns": { | ||
| "id": { | ||
| "name": "id", | ||
| "type": "text", |
There was a problem hiding this comment.
Comment: Use of 'text' type for IDs instead of more appropriate types.
Solution: Change the type of 'id', 'station_id', 'train_id', and other ID fields to 'uuid' or 'integer'.
!! Make sure the following suggestion is correct before committing it !!
| "type": "text", | |
| "type": "uuid", |
| "type": { | ||
| "name": "type", | ||
| "type": "station_type", | ||
| "typeSchema": "public", | ||
| "primaryKey": false, | ||
| "notNull": true | ||
| }, |
There was a problem hiding this comment.
Comment: Potential SQL injection vulnerability in station_type column
Solution: Ensure that all user input for the station_type column is properly sanitized and validated before being used in SQL queries.
!! Make sure the following suggestion is correct before committing it !!
| "type": { | |
| "name": "type", | |
| "type": "station_type", | |
| "typeSchema": "public", | |
| "primaryKey": false, | |
| "notNull": true | |
| }, | |
| "type":{ | |
| "name": "type", | |
| "type": "text", | |
| "primaryKey": false, | |
| "notNull": true | |
| } |
| "metadata": { | ||
| "name": "metadata", | ||
| "type": "jsonb", | ||
| "primaryKey": false, | ||
| "notNull": false | ||
| }, |
There was a problem hiding this comment.
Comment: Potential performance issues with large metadata column
Solution: Consider limiting the size and complexity of the data stored in the metadata column, or potentially splitting it into a separate table if the data becomes too large.
!! Make sure the following suggestion is correct before committing it !!
| "metadata": { | |
| "name": "metadata", | |
| "type": "jsonb", | |
| "primaryKey": false, | |
| "notNull": false | |
| }, | |
| "metadata":{ | |
| "name": "metadata", | |
| "type": "text", | |
| "primaryKey": false, | |
| "notNull": false | |
| } |
| "nulls": "last" | ||
| } | ||
| ], | ||
| "isUnique": true, |
There was a problem hiding this comment.
Comment: Indexes may not be optimized for query performance.
Solution: Analyze query patterns and adjust indexes accordingly to balance read and write performance.
!! Make sure the following suggestion is correct before committing it !!
| "isUnique": true, | |
| "isUnique": false, // Based on query analysis |
🔍 Code Review Summary❗ Attention Required: This push has potential issues. 🚨 Overview
🚨 Critical Issuessecurity (5 issues)Details1. Hardcoded sensitive information in environment variables.📁 File: .dev.example.vars 💡 Solution: Current Code: DATABASE_URL="postgresql://comuline:password@localhost:5432/comuline"Suggested Code: DATABASE_URL="${DATABASE_URL}"Details2. Potential SQL injection vulnerability in foreign key definitions📁 File: drizzle/migrations/meta/0002_snapshot.json 💡 Solution: Current Code: "tableFrom": "schedule",
"tableTo": "station",
"columnsFrom":[
"station_id"
],
"columnsTo":[
"id"
]Suggested Code: "tableFrom": "??",
"tableTo": "??",
"columnsFrom":[
"??"
],
"columnsTo":[
"??"
]Details3. Potential performance impact of cascading foreign key deletion📁 File: drizzle/migrations/meta/0002_snapshot.json 💡 Solution: Current Code: "onDelete": "cascade",Suggested Code: "onDelete": "set null",Details4. Use of 'text' type for IDs instead of a more appropriate type.📁 File: drizzle/migrations/meta/0003_snapshot.json 💡 Solution: Current Code: "type": "text",Suggested Code: "type": "uuid",Details5. Potential exposure of sensitive information in migration files.📁 File: drizzle/migrations/meta/_journal.json 💡 Solution: Current Code: "tag": "0000_talented_daimon_hellstrom"Suggested Code: "tag": "<hidden>"
Useful Commands
|
| @@ -0,0 +1,6 @@ | |||
| DATABASE_URL="postgresql://comuline:password@localhost:5432/comuline" | |||
There was a problem hiding this comment.
Comment: Hardcoded sensitive information in environment variables.
Solution: Use environment variables or secrets management tools to store sensitive information securely.
!! Make sure the following suggestion is correct before committing it !!
| DATABASE_URL="postgresql://comuline:password@localhost:5432/comuline" | |
| DATABASE_URL="${DATABASE_URL}" |
| "tableFrom": "schedule", | ||
| "tableTo": "station", | ||
| "columnsFrom": [ | ||
| "station_id" | ||
| ], | ||
| "columnsTo": [ | ||
| "id" | ||
| ], |
There was a problem hiding this comment.
Comment: Potential SQL injection vulnerability in foreign key definitions
Solution: Use parameterized queries or a safe query building library to avoid SQL injection vulnerabilities. Alternatively, consider using a more robust migration system that handles foreign key definitions in a secure manner.
!! Make sure the following suggestion is correct before committing it !!
| "tableFrom": "schedule", | |
| "tableTo": "station", | |
| "columnsFrom": [ | |
| "station_id" | |
| ], | |
| "columnsTo": [ | |
| "id" | |
| ], | |
| "tableFrom": "??", | |
| "tableTo": "??", | |
| "columnsFrom":[ | |
| "??" | |
| ], | |
| "columnsTo":[ | |
| "??" | |
| ] |
| "columnsTo": [ | ||
| "id" | ||
| ], | ||
| "onDelete": "cascade", |
There was a problem hiding this comment.
Comment: Potential performance impact of cascading foreign key deletion
Solution: Consider using a more appropriate onDelete action, such as set null or restrict, to avoid the performance impact of cascading deletions. Alternatively, evaluate the use case and determine if the cascading deletion behavior is truly necessary.
!! Make sure the following suggestion is correct before committing it !!
| "onDelete": "cascade", | |
| "onDelete": "set null", |
| "columns": { | ||
| "uid": { | ||
| "name": "uid", | ||
| "type": "text", |
There was a problem hiding this comment.
Comment: Use of 'text' type for IDs instead of a more appropriate type.
Solution: Change the type of 'id' and 'uid' fields to 'uuid'.
!! Make sure the following suggestion is correct before committing it !!
| "type": "text", | |
| "type": "uuid", |
| "idx": 0, | ||
| "version": "7", | ||
| "when": 1731395911889, | ||
| "tag": "0000_talented_daimon_hellstrom", |
There was a problem hiding this comment.
Comment: Potential exposure of sensitive information in migration files.
Solution: Review migration files for sensitive information and ensure they are appropriately secured or excluded from version control.
!! Make sure the following suggestion is correct before committing it !!
| "tag": "0000_talented_daimon_hellstrom", | |
| "tag": "<hidden>" |
Comprehensive API Improvements
Introduce new environment configurations, CI/CD workflows, database schema updates, and package dependency upgrades across the API codebase.
departs_atandarrives_atto thescheduledatabase table.drizzle-ormandtypescript, to their latest versions.These changes enhance the local development setup, streamline the deployment process, improve the database structure, and modernize the codebase, leading to better overall project maintainability and performance.
Original Description
# Comprehensive Database and Package Updates**
Consolidate database schema enhancements and package management improvements for better performance and maintainability.
scheduletable for optimized queries ontrain_id.time_departureandtime_at_destinationwithdeparts_atandarrives_atcolumns in thescheduletable.scheduleandstationtables to enhance data integrity.stationandscheduletables to facilitate database versioning.package.jsonto version2.0, incorporating new scripts for improved development workflows.drizzle-ormanddrizzle-kit, to their latest versions.**
These enhancements will significantly improve application performance, data integrity, and maintainability.
Original Description
# Comprehensive Database Schema Update**
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Enhance the database schema to improve data integrity and management for station and schedule data.
departs_atandarrives_atcolumns to thescheduletable.time_departureandtime_at_destinationcolumns from thescheduletable.stationandscheduletables with necessary columns and indexes.station_typeenum to categorize station types.created_atandupdated_atcolumns in bothscheduleandstationtables non-nullable with default values.scheduleandstationtables.scheduletable to improve delete behavior:ON DELETE cascadefor certain relationships andON DELETE set nullfor others.**
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These changes will enhance the application's ability to accurately manage and relate station and schedule data, ensuring better data integrity and usability.
Original Description
None