From ead01b71fe2485c5282d3cd0ac0ade5a8a584b01 Mon Sep 17 00:00:00 2001 From: Chris Gwilliams <517923+encima@users.noreply.github.com> Date: Thu, 9 Jan 2025 10:54:05 +0200 Subject: [PATCH] fix sentence casing --- apps/docs/content/guides/database/sharding-partitioning.mdx | 4 ++-- apps/docs/content/guides/database/sharding.mdx | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/apps/docs/content/guides/database/sharding-partitioning.mdx b/apps/docs/content/guides/database/sharding-partitioning.mdx index 0549658fdae..4752dbb5acf 100644 --- a/apps/docs/content/guides/database/sharding-partitioning.mdx +++ b/apps/docs/content/guides/database/sharding-partitioning.mdx @@ -40,7 +40,7 @@ To set up sharding and partitioning, you can partition your tables and store eac SERVER shard2 OPTIONS (table_name 'sales_2000_02'); ``` -## Moving partitions Between Shards +## Moving partitions between shards To move a partition from one shard to another, you can use the following steps: @@ -79,7 +79,7 @@ FROM sales WHERE order_date >= '2000-01-01' AND order_date < '2000-03-01'; ``` -### Querying specific Partitions +### Querying specific partitions If you only need to retrieve data from a specific partition, you can directly query that partition. diff --git a/apps/docs/content/guides/database/sharding.mdx b/apps/docs/content/guides/database/sharding.mdx index f49dcc0d8e2..c45c86f217d 100644 --- a/apps/docs/content/guides/database/sharding.mdx +++ b/apps/docs/content/guides/database/sharding.mdx @@ -65,7 +65,7 @@ For each project, you will need to: The steps outlined below are for `shard01` and would be repeated on each shard, replacing the shard names. -### Example - shard01 +### Example 1. **Install the `postgres_fdw` extension**: @@ -115,7 +115,7 @@ The steps outlined below are for `shard01` and would be repeated on each shard, By following these steps, you can distribute your data across multiple Postgres databases and query them as if they were a single database, improving performance and scalability. -## Use cases for sharding +## Use cases Sharding can be particularly useful in the following scenarios: