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new c5ea31e3b0 [doc](load)fix load complex type doc error (#1716)
c5ea31e3b0 is described below
commit c5ea31e3b0a8576a87d8a4f19e8210899811612b
Author: hui lai <lai...@selectdb.com>
AuthorDate: Mon Jan 6 23:23:26 2025 +0800
[doc](load)fix load complex type doc error (#1716)
---
docs/data-operate/import/complex-types/bitmap.md | 20 ++++++++++----------
docs/data-operate/import/complex-types/hll.md | 20 ++++++++++----------
.../current/data-operate/import/complex-types/hll.md | 8 ++++----
.../data-operate/import/complex-types/hll.md | 8 ++++----
.../data-operate/import/complex-types/hll.md | 8 ++++----
.../data-operate/import/complex-types/bitmap.md | 20 ++++++++++----------
.../data-operate/import/complex-types/hll.md | 20 ++++++++++----------
.../data-operate/import/complex-types/bitmap.md | 20 ++++++++++----------
.../data-operate/import/complex-types/hll.md | 20 ++++++++++----------
9 files changed, 72 insertions(+), 72 deletions(-)
diff --git a/docs/data-operate/import/complex-types/bitmap.md
b/docs/data-operate/import/complex-types/bitmap.md
index e60058bf77..0e1fae9719 100644
--- a/docs/data-operate/import/complex-types/bitmap.md
+++ b/docs/data-operate/import/complex-types/bitmap.md
@@ -33,16 +33,16 @@ The BITMAP type can be used in Duplicate tables, Unique
tables, and Aggregate ta
Create the following CSV file: test_bitmap.csv
```sql
-koga|17723
-nijg|146285
-lojn|347890
-lofn|489871
-jfin|545679
-kon|676724
-nhga|767689
-nfubg|879878
-huang|969798
-buag|97997
+1|koga|17723
+2|nijg|146285
+3|lojn|347890
+4|lofn|489871
+5|jfin|545679
+6|kon|676724
+7|nhga|767689
+8|nfubg|879878
+9|huang|969798
+10|buag|97997
```
### Step 2: Create Table in Database
diff --git a/docs/data-operate/import/complex-types/hll.md
b/docs/data-operate/import/complex-types/hll.md
index a0c3300c13..e23e52667f 100644
--- a/docs/data-operate/import/complex-types/hll.md
+++ b/docs/data-operate/import/complex-types/hll.md
@@ -33,16 +33,16 @@ HLL is used for approximate deduplication and performs
better than Count Distinc
Create the following CSV file: test_hll.csv
```sql
-koga
-nijg
-lojn
-lofn
-jfin
-kon
-nhga
-nfubg
-huang
-buag
+1001|koga
+1002|nijg
+1003|lojn
+1004|lofn
+1005|jfin
+1006|kon
+1007|nhga
+1008|nfubg
+1009|huang
+1010|buag
```
### Step 2: Create Table in Database
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data-operate/import/complex-types/hll.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data-operate/import/complex-types/hll.md
index 2dd6cebb03..e4447b1606 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data-operate/import/complex-types/hll.md
+++
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data-operate/import/complex-types/hll.md
@@ -32,7 +32,7 @@ HLL是用作模糊去重，在数据量大的情况性能优于 Count Distinct
创建如下的 csv 文件：test_hll.csv
-```SQL
+```sql
1001|koga
1002|nijg
1003|lojn
@@ -47,7 +47,7 @@ HLL是用作模糊去重，在数据量大的情况性能优于 Count Distinct
### 第 2 步：在库中创建表
-```SQL
+```sql
CREATE TABLE testdb.test_hll(
typ_id BIGINT NULL COMMENT "ID",
typ_name VARCHAR(10) NULL COMMENT "NAME",
@@ -59,7 +59,7 @@ DISTRIBUTED BY HASH(typ_id) BUCKETS 10;
### 第 3 步：导入数据
-```SQL
+```sql
curl --location-trusted -u <doris_user>:<doris_password> \
-H "column_separator:|" \
-H "columns:typ_id,typ_name,pv=hll_hash(typ_id)" \
@@ -71,7 +71,7 @@ curl --location-trusted -u <doris_user>:<doris_password> \
使用 hll_cardinality 进行查询：
-```SQL
+```sql
mysql> select typ_id,typ_name,hll_cardinality(pv) from testdb.test_hll;
+--------+----------+---------------------+
| typ_id | typ_name | hll_cardinality(pv) |
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/version-2.1/data-operate/import/complex-types/hll.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/version-2.1/data-operate/import/complex-types/hll.md
index 2dd6cebb03..e4447b1606 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/version-2.1/data-operate/import/complex-types/hll.md
+++
b/i18n/zh-CN/docusaurus-plugin-content-docs/version-2.1/data-operate/import/complex-types/hll.md
@@ -32,7 +32,7 @@ HLL是用作模糊去重，在数据量大的情况性能优于 Count Distinct
创建如下的 csv 文件：test_hll.csv
-```SQL
+```sql
1001|koga
1002|nijg
1003|lojn
@@ -47,7 +47,7 @@ HLL是用作模糊去重，在数据量大的情况性能优于 Count Distinct
### 第 2 步：在库中创建表
-```SQL
+```sql
CREATE TABLE testdb.test_hll(
typ_id BIGINT NULL COMMENT "ID",
typ_name VARCHAR(10) NULL COMMENT "NAME",
@@ -59,7 +59,7 @@ DISTRIBUTED BY HASH(typ_id) BUCKETS 10;
### 第 3 步：导入数据
-```SQL
+```sql
curl --location-trusted -u <doris_user>:<doris_password> \
-H "column_separator:|" \
-H "columns:typ_id,typ_name,pv=hll_hash(typ_id)" \
@@ -71,7 +71,7 @@ curl --location-trusted -u <doris_user>:<doris_password> \
使用 hll_cardinality 进行查询：
-```SQL
+```sql
mysql> select typ_id,typ_name,hll_cardinality(pv) from testdb.test_hll;
+--------+----------+---------------------+
| typ_id | typ_name | hll_cardinality(pv) |
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/version-3.0/data-operate/import/complex-types/hll.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/version-3.0/data-operate/import/complex-types/hll.md
index 2dd6cebb03..e4447b1606 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/version-3.0/data-operate/import/complex-types/hll.md
+++
b/i18n/zh-CN/docusaurus-plugin-content-docs/version-3.0/data-operate/import/complex-types/hll.md
@@ -32,7 +32,7 @@ HLL是用作模糊去重，在数据量大的情况性能优于 Count Distinct
创建如下的 csv 文件：test_hll.csv
-```SQL
+```sql
1001|koga
1002|nijg
1003|lojn
@@ -47,7 +47,7 @@ HLL是用作模糊去重，在数据量大的情况性能优于 Count Distinct
### 第 2 步：在库中创建表
-```SQL
+```sql
CREATE TABLE testdb.test_hll(
typ_id BIGINT NULL COMMENT "ID",
typ_name VARCHAR(10) NULL COMMENT "NAME",
@@ -59,7 +59,7 @@ DISTRIBUTED BY HASH(typ_id) BUCKETS 10;
### 第 3 步：导入数据
-```SQL
+```sql
curl --location-trusted -u <doris_user>:<doris_password> \
-H "column_separator:|" \
-H "columns:typ_id,typ_name,pv=hll_hash(typ_id)" \
@@ -71,7 +71,7 @@ curl --location-trusted -u <doris_user>:<doris_password> \
使用 hll_cardinality 进行查询：
-```SQL
+```sql
mysql> select typ_id,typ_name,hll_cardinality(pv) from testdb.test_hll;
+--------+----------+---------------------+
| typ_id | typ_name | hll_cardinality(pv) |
diff --git
a/versioned_docs/version-2.1/data-operate/import/complex-types/bitmap.md
b/versioned_docs/version-2.1/data-operate/import/complex-types/bitmap.md
index e60058bf77..0e1fae9719 100644
--- a/versioned_docs/version-2.1/data-operate/import/complex-types/bitmap.md
+++ b/versioned_docs/version-2.1/data-operate/import/complex-types/bitmap.md
@@ -33,16 +33,16 @@ The BITMAP type can be used in Duplicate tables, Unique
tables, and Aggregate ta
Create the following CSV file: test_bitmap.csv
```sql
-koga|17723
-nijg|146285
-lojn|347890
-lofn|489871
-jfin|545679
-kon|676724
-nhga|767689
-nfubg|879878
-huang|969798
-buag|97997
+1|koga|17723
+2|nijg|146285
+3|lojn|347890
+4|lofn|489871
+5|jfin|545679
+6|kon|676724
+7|nhga|767689
+8|nfubg|879878
+9|huang|969798
+10|buag|97997
```
### Step 2: Create Table in Database
diff --git
a/versioned_docs/version-2.1/data-operate/import/complex-types/hll.md
b/versioned_docs/version-2.1/data-operate/import/complex-types/hll.md
index a0c3300c13..e23e52667f 100644
--- a/versioned_docs/version-2.1/data-operate/import/complex-types/hll.md
+++ b/versioned_docs/version-2.1/data-operate/import/complex-types/hll.md
@@ -33,16 +33,16 @@ HLL is used for approximate deduplication and performs
better than Count Distinc
Create the following CSV file: test_hll.csv
```sql
-koga
-nijg
-lojn
-lofn
-jfin
-kon
-nhga
-nfubg
-huang
-buag
+1001|koga
+1002|nijg
+1003|lojn
+1004|lofn
+1005|jfin
+1006|kon
+1007|nhga
+1008|nfubg
+1009|huang
+1010|buag
```
### Step 2: Create Table in Database
diff --git
a/versioned_docs/version-3.0/data-operate/import/complex-types/bitmap.md
b/versioned_docs/version-3.0/data-operate/import/complex-types/bitmap.md
index e60058bf77..0e1fae9719 100644
--- a/versioned_docs/version-3.0/data-operate/import/complex-types/bitmap.md
+++ b/versioned_docs/version-3.0/data-operate/import/complex-types/bitmap.md
@@ -33,16 +33,16 @@ The BITMAP type can be used in Duplicate tables, Unique
tables, and Aggregate ta
Create the following CSV file: test_bitmap.csv
```sql
-koga|17723
-nijg|146285
-lojn|347890
-lofn|489871
-jfin|545679
-kon|676724
-nhga|767689
-nfubg|879878
-huang|969798
-buag|97997
+1|koga|17723
+2|nijg|146285
+3|lojn|347890
+4|lofn|489871
+5|jfin|545679
+6|kon|676724
+7|nhga|767689
+8|nfubg|879878
+9|huang|969798
+10|buag|97997
```
### Step 2: Create Table in Database
diff --git
a/versioned_docs/version-3.0/data-operate/import/complex-types/hll.md
b/versioned_docs/version-3.0/data-operate/import/complex-types/hll.md
index a0c3300c13..e23e52667f 100644
--- a/versioned_docs/version-3.0/data-operate/import/complex-types/hll.md
+++ b/versioned_docs/version-3.0/data-operate/import/complex-types/hll.md
@@ -33,16 +33,16 @@ HLL is used for approximate deduplication and performs
better than Count Distinc
Create the following CSV file: test_hll.csv
```sql
-koga
-nijg
-lojn
-lofn
-jfin
-kon
-nhga
-nfubg
-huang
-buag
+1001|koga
+1002|nijg
+1003|lojn
+1004|lofn
+1005|jfin
+1006|kon
+1007|nhga
+1008|nfubg
+1009|huang
+1010|buag
```
### Step 2: Create Table in Database
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