baileytownsend.dev
-4
drizzle/0000_nervous_freak.sql
-4
drizzle/0000_nervous_freak.sql
+33
drizzle/0000_yielding_psylocke.sql
+33
drizzle/0000_yielding_psylocke.sql
···
1
+
CREATE TABLE "record_pokes" (
2
+
"id" serial PRIMARY KEY NOT NULL,
3
+
"recordId" integer,
4
+
"pokersRepo" text NOT NULL,
5
+
"atUri" text NOT NULL,
6
+
"indexedAt" time DEFAULT now() NOT NULL
7
+
);
8
+
--> statement-breakpoint
9
+
CREATE TABLE "records" (
10
+
"id" serial PRIMARY KEY NOT NULL,
11
+
"rkey" varchar NOT NULL,
12
+
"collection" varchar NOT NULL,
13
+
"repo" varchar NOT NULL,
14
+
"data" jsonb NOT NULL,
15
+
"indexedAt" time DEFAULT now() NOT NULL
16
+
);
17
+
--> statement-breakpoint
18
+
CREATE TABLE "user_pokes" (
19
+
"id" serial PRIMARY KEY NOT NULL,
20
+
"subject" text NOT NULL,
21
+
"poker" text NOT NULL,
22
+
"at_uri" text NOT NULL,
23
+
"indexedAt" time DEFAULT now() NOT NULL
24
+
);
25
+
--> statement-breakpoint
26
+
ALTER TABLE "record_pokes" ADD CONSTRAINT "record_pokes_recordId_records_id_fk" FOREIGN KEY ("recordId") REFERENCES "public"."records"("id") ON DELETE no action ON UPDATE no action;--> statement-breakpoint
27
+
CREATE INDEX "pokers_repo_idx" ON "record_pokes" USING btree ("pokersRepo");--> statement-breakpoint
28
+
CREATE INDEX "at_uri_idx" ON "record_pokes" USING btree ("atUri");--> statement-breakpoint
29
+
CREATE INDEX "rkey_idx" ON "records" USING btree ("rkey");--> statement-breakpoint
30
+
CREATE INDEX "collection_idx" ON "records" USING btree ("collection");--> statement-breakpoint
31
+
CREATE INDEX "repo_idx" ON "records" USING btree ("repo");--> statement-breakpoint
32
+
CREATE INDEX "subject_idx" ON "user_pokes" USING btree ("subject");--> statement-breakpoint
33
+
CREATE INDEX "poker_idx" ON "user_pokes" USING btree ("poker");
+242
-18
drizzle/meta/0000_snapshot.json
+242
-18
drizzle/meta/0000_snapshot.json
···
1
1
{
2
-
"id": "b5b82b54-3237-45a5-b53d-72f531d83653",
2
+
"id": "eb652b7e-c43a-411e-9e94-15bfb4be773f",
3
3
"prevId": "00000000-0000-0000-0000-000000000000",
4
4
"version": "7",
5
5
"dialect": "postgresql",
6
6
"tables": {
7
-
"public.test": {
8
-
"name": "test",
7
+
"public.record_pokes": {
8
+
"name": "record_pokes",
9
9
"schema": "",
10
10
"columns": {
11
11
"id": {
12
12
"name": "id",
13
+
"type": "serial",
14
+
"primaryKey": true,
15
+
"notNull": true
16
+
},
17
+
"recordId": {
18
+
"name": "recordId",
13
19
"type": "integer",
14
-
"primaryKey": true,
20
+
"primaryKey": false,
21
+
"notNull": false
22
+
},
23
+
"pokersRepo": {
24
+
"name": "pokersRepo",
25
+
"type": "text",
26
+
"primaryKey": false,
27
+
"notNull": true
28
+
},
29
+
"atUri": {
30
+
"name": "atUri",
31
+
"type": "text",
32
+
"primaryKey": false,
33
+
"notNull": true
34
+
},
35
+
"indexedAt": {
36
+
"name": "indexedAt",
37
+
"type": "time",
38
+
"primaryKey": false,
15
39
"notNull": true,
16
-
"identity": {
17
-
"type": "always",
18
-
"name": "test_id_seq",
19
-
"schema": "public",
20
-
"increment": "1",
21
-
"startWith": "1",
22
-
"minValue": "1",
23
-
"maxValue": "2147483647",
24
-
"cache": "1",
25
-
"cycle": false
26
-
}
40
+
"default": "now()"
41
+
}
42
+
},
43
+
"indexes": {
44
+
"pokers_repo_idx": {
45
+
"name": "pokers_repo_idx",
46
+
"columns": [
47
+
{
48
+
"expression": "pokersRepo",
49
+
"isExpression": false,
50
+
"asc": true,
51
+
"nulls": "last"
52
+
}
53
+
],
54
+
"isUnique": false,
55
+
"concurrently": false,
56
+
"method": "btree",
57
+
"with": {}
27
58
},
28
-
"name": {
29
-
"name": "name",
59
+
"at_uri_idx": {
60
+
"name": "at_uri_idx",
61
+
"columns": [
62
+
{
63
+
"expression": "atUri",
64
+
"isExpression": false,
65
+
"asc": true,
66
+
"nulls": "last"
67
+
}
68
+
],
69
+
"isUnique": false,
70
+
"concurrently": false,
71
+
"method": "btree",
72
+
"with": {}
73
+
}
74
+
},
75
+
"foreignKeys": {
76
+
"record_pokes_recordId_records_id_fk": {
77
+
"name": "record_pokes_recordId_records_id_fk",
78
+
"tableFrom": "record_pokes",
79
+
"tableTo": "records",
80
+
"columnsFrom": [
81
+
"recordId"
82
+
],
83
+
"columnsTo": [
84
+
"id"
85
+
],
86
+
"onDelete": "no action",
87
+
"onUpdate": "no action"
88
+
}
89
+
},
90
+
"compositePrimaryKeys": {},
91
+
"uniqueConstraints": {},
92
+
"policies": {},
93
+
"checkConstraints": {},
94
+
"isRLSEnabled": false
95
+
},
96
+
"public.records": {
97
+
"name": "records",
98
+
"schema": "",
99
+
"columns": {
100
+
"id": {
101
+
"name": "id",
102
+
"type": "serial",
103
+
"primaryKey": true,
104
+
"notNull": true
105
+
},
106
+
"rkey": {
107
+
"name": "rkey",
30
108
"type": "varchar",
31
109
"primaryKey": false,
32
110
"notNull": true
111
+
},
112
+
"collection": {
113
+
"name": "collection",
114
+
"type": "varchar",
115
+
"primaryKey": false,
116
+
"notNull": true
117
+
},
118
+
"repo": {
119
+
"name": "repo",
120
+
"type": "varchar",
121
+
"primaryKey": false,
122
+
"notNull": true
123
+
},
124
+
"data": {
125
+
"name": "data",
126
+
"type": "jsonb",
127
+
"primaryKey": false,
128
+
"notNull": true
129
+
},
130
+
"indexedAt": {
131
+
"name": "indexedAt",
132
+
"type": "time",
133
+
"primaryKey": false,
134
+
"notNull": true,
135
+
"default": "now()"
33
136
}
34
137
},
35
-
"indexes": {},
138
+
"indexes": {
139
+
"rkey_idx": {
140
+
"name": "rkey_idx",
141
+
"columns": [
142
+
{
143
+
"expression": "rkey",
144
+
"isExpression": false,
145
+
"asc": true,
146
+
"nulls": "last"
147
+
}
148
+
],
149
+
"isUnique": false,
150
+
"concurrently": false,
151
+
"method": "btree",
152
+
"with": {}
153
+
},
154
+
"collection_idx": {
155
+
"name": "collection_idx",
156
+
"columns": [
157
+
{
158
+
"expression": "collection",
159
+
"isExpression": false,
160
+
"asc": true,
161
+
"nulls": "last"
162
+
}
163
+
],
164
+
"isUnique": false,
165
+
"concurrently": false,
166
+
"method": "btree",
167
+
"with": {}
168
+
},
169
+
"repo_idx": {
170
+
"name": "repo_idx",
171
+
"columns": [
172
+
{
173
+
"expression": "repo",
174
+
"isExpression": false,
175
+
"asc": true,
176
+
"nulls": "last"
177
+
}
178
+
],
179
+
"isUnique": false,
180
+
"concurrently": false,
181
+
"method": "btree",
182
+
"with": {}
183
+
}
184
+
},
185
+
"foreignKeys": {},
186
+
"compositePrimaryKeys": {},
187
+
"uniqueConstraints": {},
188
+
"policies": {},
189
+
"checkConstraints": {},
190
+
"isRLSEnabled": false
191
+
},
192
+
"public.user_pokes": {
193
+
"name": "user_pokes",
194
+
"schema": "",
195
+
"columns": {
196
+
"id": {
197
+
"name": "id",
198
+
"type": "serial",
199
+
"primaryKey": true,
200
+
"notNull": true
201
+
},
202
+
"subject": {
203
+
"name": "subject",
204
+
"type": "text",
205
+
"primaryKey": false,
206
+
"notNull": true
207
+
},
208
+
"poker": {
209
+
"name": "poker",
210
+
"type": "text",
211
+
"primaryKey": false,
212
+
"notNull": true
213
+
},
214
+
"at_uri": {
215
+
"name": "at_uri",
216
+
"type": "text",
217
+
"primaryKey": false,
218
+
"notNull": true
219
+
},
220
+
"indexedAt": {
221
+
"name": "indexedAt",
222
+
"type": "time",
223
+
"primaryKey": false,
224
+
"notNull": true,
225
+
"default": "now()"
226
+
}
227
+
},
228
+
"indexes": {
229
+
"subject_idx": {
230
+
"name": "subject_idx",
231
+
"columns": [
232
+
{
233
+
"expression": "subject",
234
+
"isExpression": false,
235
+
"asc": true,
236
+
"nulls": "last"
237
+
}
238
+
],
239
+
"isUnique": false,
240
+
"concurrently": false,
241
+
"method": "btree",
242
+
"with": {}
243
+
},
244
+
"poker_idx": {
245
+
"name": "poker_idx",
246
+
"columns": [
247
+
{
248
+
"expression": "poker",
249
+
"isExpression": false,
250
+
"asc": true,
251
+
"nulls": "last"
252
+
}
253
+
],
254
+
"isUnique": false,
255
+
"concurrently": false,
256
+
"method": "btree",
257
+
"with": {}
258
+
}
259
+
},
36
260
"foreignKeys": {},
37
261
"compositePrimaryKeys": {},
38
262
"uniqueConstraints": {},
+2
-2
drizzle/meta/_journal.json
+2
-2
drizzle/meta/_journal.json
+51
-22
src/lib/server/db/schema.ts
+51
-22
src/lib/server/db/schema.ts
···
1
-
import { integer, pgTable, varchar } from 'drizzle-orm/pg-core';
1
+
import { index, text, integer, jsonb, pgTable, serial, time, varchar } from 'drizzle-orm/pg-core';
2
+
3
+
/**
4
+
* Holds collected records from firehose, backfilled, or manually entered
5
+
*/
6
+
export const recordsTable = pgTable('records', {
7
+
id: serial().primaryKey(),
8
+
rkey: varchar().notNull(),
9
+
collection: varchar().notNull(),
10
+
repo: varchar().notNull(),
11
+
data: jsonb().notNull(),
12
+
indexedAt: time().notNull().defaultNow()
13
+
}, (table) => [
14
+
index('rkey_idx').on(table.rkey),
15
+
index('collection_idx').on(table.collection),
16
+
index('repo_idx').on(table.repo),
17
+
]);
18
+
2
19
3
-
export const usersTable = pgTable('test', {
4
-
id: integer().primaryKey().generatedAlwaysAsIdentity(),
5
-
name: varchar().notNull(),
6
-
});
20
+
/**
21
+
* Holds pokes toward a record. Current thinking is when a user pokes a record it adds it to the "feeds"
22
+
* Maybe have a "catch all feed" that shows all lexicons that the user wants to see
23
+
*
24
+
* these are the xyz.atpoke.feed.poke records
25
+
*/
26
+
export const recordPokesTable = pgTable('record_pokes',{
27
+
id: serial().primaryKey(),
28
+
recordId: integer().references(() => recordsTable.id),
29
+
pokersRepo: text().notNull(),
30
+
atUri: text().notNull(),
31
+
indexedAt: time().notNull().defaultNow()
32
+
},(table) => [
33
+
index('pokers_repo_idx').on(table.pokersRepo),
34
+
index('at_uri_idx').on(table.atUri)
35
+
]);
7
36
37
+
/**
38
+
* These are the traditional pokes. Like "I just poked user xyz". These will make it to the feed via recordsTable
39
+
*
40
+
* xyz.atpoke.graph.poke
41
+
*/
42
+
export const userPokes = pgTable('user_pokes', {
43
+
id: serial().primaryKey(),
44
+
//This is who you poked
45
+
subject: text().notNull(),
46
+
//Who is doing the poking
47
+
poker: text().notNull(),
48
+
at_uri: text().notNull(),
49
+
indexedAt: time().notNull().defaultNow()
50
+
}, (table) => [
51
+
index('subject_idx').on(table.subject),
52
+
index('poker_idx').on(table.poker)
53
+
]);
8
54
9
-
// export const keyValueStore = sqliteTable('key_value_store', {
10
-
// key: p text('key').primaryKey(),
11
-
// value: text('value'),
12
-
// storeName: text('storeName'),
13
-
// createdAt: integer({ mode: 'timestamp' }) // Date
14
-
// });
15
-
//
16
-
//
17
-
// export const sessionStore = sqliteTable('session_store', {
18
-
// id: text('id').primaryKey(),
19
-
// //Not leaving unique since it could be multiple logins from the same user across browsers
20
-
// did: text('did').notNull(),
21
-
// handle: text('handle').notNull(),
22
-
// createdAt: integer({ mode: 'timestamp' }).notNull(), // Date
23
-
// expiresAt: integer({ mode: 'timestamp' }).notNull() // Date
24
-
//
25
-
// });