From ea5cbd8a25c4de04d30afab29eadd8f387b380e5 Mon Sep 17 00:00:00 2001
From: xixirangrang <hfxsd@hotmail.com>
Date: Thu, 25 Jul 2024 12:04:36 +0800
Subject: [PATCH] partitioned-table: create strictly increasing range columns
 partition (#18353)

---
 partitioned-table.md | 17 +++++++++++++++++
 1 file changed, 17 insertions(+)

diff --git a/partitioned-table.md b/partitioned-table.md
index 1a70299593a64..8733e29bcdba3 100644
--- a/partitioned-table.md
+++ b/partitioned-table.md
@@ -169,6 +169,23 @@ Range partitioning is particularly useful when one or more of the following cond
 
 Range COLUMNS partitioning is a variant of Range partitioning. You can use one or more columns as partitioning keys. The data types of partition columns can be integer, string (`CHAR` or `VARCHAR`), `DATE`, and `DATETIME`. Any expressions, such as non-COLUMNS partitioning, are not supported.
 
+Like Range partitioning, Range COLUMNS partitioning also requires the partition ranges to be strictly increasing. The partition definition in the following example is not supported:
+
+```sql
+CREATE TABLE t(
+    a int,
+    b datetime,
+    c varchar(8)
+) PARTITION BY RANGE COLUMNS(`c`,`b`)
+(PARTITION `p20240520A` VALUES LESS THAN ('A','2024-05-20 00:00:00'),
+ PARTITION `p20240520Z` VALUES LESS THAN ('Z','2024-05-20 00:00:00'),
+ PARTITION `p20240521A` VALUES LESS THAN ('A','2024-05-21 00:00:00'));
+```
+
+```
+Error 1493 (HY000): VALUES LESS THAN value must be strictly increasing for each partition
+```
+
 Suppose that you want to partition by name, and drop old and invalid data, then you can create a table as follows:
 
 ```sql