Remove instances of deprecated third param in table definition (#480)

Author: L-Mario564

src/content/docs/extensions/pg.mdx

@@ -58,11 +58,11 @@ Let's take a few examples of `pg_vector` indexes from the `pg_vector` docs and t
 
 const table = pgTable('items', {
     embedding: vector({ dimensions: 3 })
-}, (table) => ({
-    l2: index('l2_index').using('hnsw', table.embedding.op('vector_l2_ops'))
-    ip: index('ip_index').using('hnsw', table.embedding.op('vector_ip_ops'))
-    cosine: index('cosine_index').using('hnsw', table.embedding.op('vector_cosine_ops'))
-}))
+}, (table) => [
+  index('l2_index').using('hnsw', table.embedding.op('vector_l2_ops'))
+  index('ip_index').using('hnsw', table.embedding.op('vector_ip_ops'))
+  index('cosine_index').using('hnsw', table.embedding.op('vector_cosine_ops'))
+])
 ```
 
 #### L1 distance, Hamming distance and Jaccard distance - added in pg_vector 0.7.0 version
@@ -74,11 +74,11 @@ const table = pgTable('items', {
 
 const table = pgTable('table', {
     embedding: vector({ dimensions: 3 })
-}, (table) => ({
-    l1: index('l1_index').using('hnsw', table.embedding.op('vector_l1_ops'))
-    hamming: index('hamming_index').using('hnsw', table.embedding.op('bit_hamming_ops'))
-    bit: index('bit_jaccard_index').using('hnsw', table.embedding.op('bit_jaccard_ops'))
-}))
+}, (table) => [
+  index('l1_index').using('hnsw', table.embedding.op('vector_l1_ops'))
+  index('hamming_index').using('hnsw', table.embedding.op('bit_hamming_ops'))
+  index('bit_jaccard_index').using('hnsw', table.embedding.op('bit_jaccard_ops'))
+])
 ```
 
 #### Helper Functions
@@ -192,7 +192,7 @@ With the available Drizzle indexes API, you should be able to write any indexes
 
 const table = pgTable('table', {
   	geo: geometry({ type: 'point' }),
-}, (table) => ({
-    gist: index('custom_idx').using('gist', table.geo)
-}))
+}, (table) => [
+  index('custom_idx').using('gist', table.geo)
+])
 ```

src/content/docs/generated-columns.mdx

@@ -127,9 +127,9 @@ Generated columns can be especially useful for:
           (): SQL => sql`to_tsvector('english', ${test.content})`
         ),
       },
-      (t) => ({
-        idx: index("idx_content_search").using("gin", t.contentSearch),
-      })
+      (t) => [
+        index("idx_content_search").using("gin", t.contentSearch)
+      ]
     );
     ```
     ```sql {4}

src/content/docs/guides/cursor-based-pagination.mdx

@@ -203,13 +203,12 @@ Make sure to create indices for the columns that you use for cursor to make quer
 import { index, ...imports } from 'drizzle-orm/pg-core';
 
 export const users = pgTable('users', {
-// columns declaration
+  // columns declaration
 },
-(t) => ({
-  firstNameIndex: index('first_name_index').on(t.firstName).asc(),
-  firstNameAndIdIndex: index('first_name_and_id_index').on(t.firstName, t.id).asc(),
-}),
-);
+(t) => [
+  index('first_name_index').on(t.firstName).asc(),
+  index('first_name_and_id_index').on(t.firstName, t.id).asc(),
+]);
 ```
 
 ```sql

src/content/docs/guides/postgis-geometry-point.mdx

@@ -44,9 +44,9 @@ This is how you can create table with `geometry` datatype and spatial index in D
       name: text('name').notNull(),
       location: geometry('location', { type: 'point', mode: 'xy', srid: 4326 }).notNull(),
     },
-    (t) => ({
-      spatialIndex: index('spatial_index').using('gist', t.location),
-    }),
+    (t) => [
+      index('spatial_index').using('gist', t.location),
+    ]
   );
   ```
   </CodeTab>

src/content/docs/guides/postgresql-full-text-search.mdx

@@ -69,10 +69,9 @@ As for now, Drizzle doesn't support `tsvector` type natively, so you need to con
       id: serial('id').primaryKey(),
       title: text('title').notNull(),
     },
-    (table) => ({
-      titleSearchIndex: index('title_search_index')
-      .using('gin', sql`to_tsvector('english', ${table.title})`),
-    }),
+    (table) => [
+      index('title_search_index').using('gin', sql`to_tsvector('english', ${table.title})`),
+    ]
   );
   ```
   </CodeTab>
@@ -235,15 +234,15 @@ To implement full-text search on multiple columns, you can create index on multi
       title: text('title').notNull(),
       description: text('description').notNull(),
     },
-    (table) => ({
-      searchIndex: index('search_index').using(
+    (table) => [
+      index('search_index').using(
         'gin',
         sql`(
             setweight(to_tsvector('english', ${table.title}), 'A') ||
             setweight(to_tsvector('english', ${table.description}), 'B')
         )`,
       ),
-    }),
+    ],
   );
   ```
   </CodeTab>

src/content/docs/guides/unique-case-insensitive-email.mdx

@@ -35,10 +35,10 @@ Drizzle has simple and flexible API, which lets you easily create such an index
       name: text('name').notNull(),
       email: text('email').notNull(),
     },
-    (table) => ({
-   // emailUniqueIndex: uniqueIndex('emailUniqueIndex').on(sql`lower(${table.email})`),
-      emailUniqueIndex: uniqueIndex('emailUniqueIndex').on(lower(table.email)),
-    }),
+    (table) => [
+      // uniqueIndex('emailUniqueIndex').on(sql`lower(${table.email})`),
+      uniqueIndex('emailUniqueIndex').on(lower(table.email)),
+    ],
   );
 
   // custom lower function
@@ -98,10 +98,10 @@ Drizzle has simple and flexible API, which lets you easily create such an index
       name: varchar('name', { length: 255 }).notNull(),
       email: varchar('email', { length: 255 }).notNull(),
     },
-    (table) => ({
-   // emailUniqueIndex: uniqueIndex('emailUniqueIndex').on(sql`(lower(${table.email}))`),
-      emailUniqueIndex: uniqueIndex('emailUniqueIndex').on(lower(table.email)),
-    }),
+    (table) => [
+      // uniqueIndex('emailUniqueIndex').on(sql`(lower(${table.email}))`),
+      uniqueIndex('emailUniqueIndex').on(lower(table.email)),
+    ]
   );
 
   // custom lower function
@@ -166,10 +166,10 @@ Drizzle has simple and flexible API, which lets you easily create such an index
       name: text('name').notNull(),
       email: text('email').notNull(),
     },
-    (table) => ({
-      // emailUniqueIndex: uniqueIndex('emailUniqueIndex').on(sql`lower(${table.email})`),
-      emailUniqueIndex: uniqueIndex('emailUniqueIndex').on(lower(table.email)),
-    }),
+    (table) => [
+      // uniqueIndex('emailUniqueIndex').on(sql`lower(${table.email})`),
+      uniqueIndex('emailUniqueIndex').on(lower(table.email)),
+    ]
   );
 
   // custom lower function

src/content/docs/guides/vector-similarity-search.mdx

@@ -54,9 +54,9 @@ To perform similarity search, you need to create a table with a vector column an
       url: text('url').notNull(),
       embedding: vector('embedding', { dimensions: 1536 }),
     },
-    (table) => ({
-      embeddingIndex: index('embeddingIndex').using('hnsw', table.embedding.op('vector_cosine_ops')),
-    }),
+    (table) => [
+      index('embeddingIndex').using('hnsw', table.embedding.op('vector_cosine_ops')),
+    ]
   );
   ```
   </CodeTab>