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## Context There's certain areas in the dashboard where we're calling `useTablesQuery` without a schema filter, in which case the dashboard then fires a query against the project's database to fetch _all_ tables across _all_ schemas - this could easily be a heavy query if there's a large number of relations in the project's database. Am hence opting to either add a schema filter if appropriate, or otherwise opt to use the infinite loading behaviour ## Changes involved - Add schema filter to `useTablesQuery` in database triggers and publications - Use infinite loading for tables in Cmd K for "Run query on table" and "Search database tables" ## To test - [x] Verify that database triggers + publications still function as expected - [x] Verify that CMD K "Run query on table" and "Search database tables" still function as expected (including search) <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit * **New Features** * Implemented debounced infinite-scrolling table search in the command menu and SQL editor command flow. * Added a schema selector dropdown to publications management for easier navigation. * **Improvements** * Removed the “Schema” column from the publications tables UI. * Updated search guidance and table-picker status (counts/loading) during infinite browsing. * Trigger table listings now follow the selected schema context. * Refined command menu list height and improved the database-tables placeholder text. <!-- end of auto-generated comment: release notes by coderabbit.ai -->
76 lines
2.1 KiB
TypeScript
76 lines
2.1 KiB
TypeScript
import pgMeta from '@supabase/pg-meta'
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import { useMutation, useQueryClient } from '@tanstack/react-query'
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import { toast } from 'sonner'
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import { tableKeys } from './keys'
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import { privilegeKeys } from '@/data/privileges/keys'
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import { executeSql } from '@/data/sql/execute-sql-mutation'
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import type { ResponseError, UseCustomMutationOptions } from '@/types'
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export type CreateTableBody = {
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name: string
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schema?: string
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comment?: string | null
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}
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export type TableCreateVariables = {
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projectRef: string
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connectionString?: string | null
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// the schema is required field
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payload: CreateTableBody & { schema: string }
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}
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export async function createTable({ projectRef, connectionString, payload }: TableCreateVariables) {
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const { sql } = pgMeta.tables.create(payload)
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const { result } = await executeSql<void>({
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projectRef,
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connectionString,
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sql,
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queryKey: ['table', 'create'],
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})
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return result
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}
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type TableCreateData = Awaited<ReturnType<typeof createTable>>
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export const useTableCreateMutation = ({
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onSuccess,
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onError,
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...options
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}: Omit<
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UseCustomMutationOptions<TableCreateData, ResponseError, TableCreateVariables>,
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'mutationFn'
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> = {}) => {
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const queryClient = useQueryClient()
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return useMutation<TableCreateData, ResponseError, TableCreateVariables>({
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mutationFn: (vars) => createTable(vars),
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async onSuccess(data, variables, context) {
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const { projectRef, payload } = variables
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await Promise.all([
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queryClient.invalidateQueries({
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queryKey: tableKeys.list(projectRef, payload.schema, { includeColumns: true }),
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}),
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queryClient.invalidateQueries({
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queryKey: tableKeys.list(projectRef, payload.schema, { includeColumns: false }),
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}),
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queryClient.invalidateQueries({
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queryKey: privilegeKeys.tablePrivilegesList(projectRef),
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}),
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])
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await onSuccess?.(data, variables, context)
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},
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async onError(data, variables, context) {
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if (onError === undefined) {
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toast.error(`Failed to create database table: ${data.message}`)
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} else {
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onError(data, variables, context)
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}
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},
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...options,
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})
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}
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