[docs](load) add data type docs

docs/data-operate/import/complex-types/array.md

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+---
+{
+    "title": "ARRAY",
+    "language": "en"
+}
+---
+
+<!-- 
+Licensed to the Apache Software Foundation (ASF) under one
+or more contributor license agreements.  See the NOTICE file
+distributed with this work for additional information
+regarding copyright ownership.  The ASF licenses this file
+to you under the Apache License, Version 2.0 (the
+"License"); you may not use this file except in compliance
+with the License.  You may obtain a copy of the License at
+
+  http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing,
+software distributed under the License is distributed on an
+"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+KIND, either express or implied.  See the License for the
+specific language governing permissions and limitations
+under the License.
+-->
+
+`ARRAY<T>` An array of T-type items, it cannot be used as a key column.
+
+- Before version 2.0, it was only supported in the Duplicate model table.
+- Starting from version 2.0, it is supported in the non-key columns of the Unique model table.
+
+T-type could be any of:
+
+```sql
+BOOLEAN, TINYINT, SMALLINT, INT, BIGINT, LARGEINT, FLOAT, DOUBLE, DECIMAL, DATE,
+DATEV2, DATETIME, DATETIMEV2, CHAR, VARCHAR, STRING
+```
+
+## CSV format import
+
+### Step 1: Prepare the data
+
+Create the following csv file: `test_array.csv`
+The separator is `|` instead of comma to distinguish it from the comma in array.
+
+```
+1|[1,2,3,4,5]
+2|[6,7,8]
+3|[]
+4|null
+```
+
+### Step 2: Create a table in the database
+
+```sql
+CREATE TABLE `array_test` (
+    `id`         INT           NOT NULL,
+    `c_array`    ARRAY<INT>    NULL
+)
+DUPLICATE KEY(`id`)
+DISTRIBUTED BY HASH(`id`) BUCKETS 1
+PROPERTIES (
+    "replication_allocation" = "tag.location.default: 1"
+);
+```
+
+### Step 3: Load data
+
+```bash
+curl --location-trusted \
+        -u "root":"" \
+        -H "column_separator:|" \
+        -H "columns: id, c_array" \
+        -T "test_array.csv" \
+        http://localhost:8040/api/testdb/array_test/_stream_load
+```
+
+### Step 4: Check the imported data
+
+```sql
+mysql> SELECT * FROM array_test;
++------+-----------------+
+| id   | c_array         |
++------+-----------------+
+|    1 | [1, 2, 3, 4, 5] |
+|    2 | [6, 7, 8]       |
+|    3 | []              |
+|    4 | NULL            |
++------+-----------------+
+4 rows in set (0.01 sec)
+```
+
+## JSON format import
+
+### Step 1: Prepare the data
+
+Create the following JSON file, `test_array.json`
+
+```json
+[
+    {"id":1, "c_array":[1,2,3,4,5]},
+    {"id":2, "c_array":[6,7,8]},
+    {"id":3, "c_array":[]},
+    {"id":4, "c_array":null}
+]
+```
+
+### Step 2: Create a table in the database
+
+```sql
+CREATE TABLE `array_test` (
+    `id`         INT           NOT NULL,
+    `c_array`    ARRAY<INT>    NULL
+)
+DUPLICATE KEY(`id`)
+DISTRIBUTED BY HASH(`id`) BUCKETS 1
+PROPERTIES (
+    "replication_allocation" = "tag.location.default: 1"
+);
+```
+
+### Step 3: Load data
+
+```bash
+curl --location-trusted \
+        -u "root":"" \
+        -H "format:json" \
+        -H "columns: id, c_array" \
+        -H "strip_outer_array:true" \
+        -T "test_array.json" \
+        http://localhost:8040/api/testdb/array_test/_stream_load
+```
+
+### Step 4: Check the imported data
+
+```sql
+mysql> SELECT * FROM array_test;
++------+-----------------+
+| id   | c_array         |
++------+-----------------+
+|    1 | [1, 2, 3, 4, 5] |
+|    2 | [6, 7, 8]       |
+|    3 | []              |
+|    4 | NULL            |
++------+-----------------+
+4 rows in set (0.01 sec)
+```

docs/data-operate/import/complex-types/json.md

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+---
+{
+    "title": "JSON",
+    "language": "en"
+}
+---
+
+<!-- 
+Licensed to the Apache Software Foundation (ASF) under one
+or more contributor license agreements.  See the NOTICE file
+distributed with this work for additional information
+regarding copyright ownership.  The ASF licenses this file
+to you under the Apache License, Version 2.0 (the
+"License"); you may not use this file except in compliance
+with the License.  You may obtain a copy of the License at
+
+  http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing,
+software distributed under the License is distributed on an
+"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+KIND, either express or implied.  See the License for the
+specific language governing permissions and limitations
+under the License.
+-->
+
+The JSON data type stores JSON data efficiently in a binary format and allows access to its internal fields through JSON functions.
+
+By default, it supports up to 1048576 bytes (1MB), and can be increased up to 2147483643 bytes (2GB). This can be adjusted via the string_type_length_soft_limit_bytes configuration.
+
+Compared to storing JSON strings in a regular STRING type, the JSON type has two main advantages:
+
+JSON format validation during data insertion.
+More efficient binary storage format, enabling faster access to JSON internal fields using functions like json_extract, compared to get_json_xx functions.
+Note: In version 1.2.x, the JSON type was named JSONB. To maintain compatibility with MySQL, it was renamed to JSON starting from version 2.0.0. Older tables can still use the previous name.
+
+## CSV format import
+
+### Step 1: Prepare the data
+
+Create the following csv file: `test_json.csv`
+The separator is `|` instead of comma to distinguish it from the comma in json.
+
+```
+1|{"name": "tom", "age": 35}
+2|{"name": null, "age": 28}
+3|{"name": "micheal", "age": null}
+4|{"name": null, "age": null}
+5|null
+```
+
+### Step 2: Create a table in the database
+
+```sql
+CREATE TABLE json_test (
+    id          INT     NOT NULL,
+    c_json      JSON    NULL
+)
+DUPLICATE KEY(id)
+DISTRIBUTED BY HASH(id) BUCKETS 1
+PROPERTIES (
+    "replication_allocation" = "tag.location.default: 1"
+);
+```
+
+### Step 3: Load data
+
+```bash
+curl --location-trusted \
+        -u "root":"" \
+        -H "column_separator:|" \
+        -H "columns: id, c_json" \
+        -T "test_json.csv" \
+        http://localhost:8040/api/testdb/json_test/_stream_load
+```
+
+### Step 4: Check the imported data
+
+```sql
+SELECT * FROM json_test;
++------+-------------------------------+
+| id   | c_json                        |
++------+-------------------------------+
+|    1 | {"name":"tom","age":35}       |
+|    2 | {"name":null,"age":28}        |
+|    3 | {"name":"micheal","age":null} |
+|    4 | {"name":null,"age":null}      |
+|    5 | null                          |
++------+-------------------------------+
+5 rows in set (0.01 sec)
+```
+
+## JSON format import
+
+### Step 1: Prepare the data
+
+Create the following JSON file, `test_json.json`
+
+```json
+[
+    {"id": 1, "c_json": {"name": "tom", "age": 35}},
+    {"id": 2, "c_json": {"name": null, "age": 28}},
+    {"id": 3, "c_json": {"name": "micheal", "age": null}},
+    {"id": 4, "c_json": {"name": null, "age": null}},
+    {"id": 5, "c_json": null}
+]
+```
+
+### Step 2: Create a table in the database
+
+```sql
+CREATE TABLE json_test (
+    id          INT     NOT NULL,
+    c_json      JSON    NULL
+)
+DUPLICATE KEY(id)
+DISTRIBUTED BY HASH(id) BUCKETS 1
+PROPERTIES (
+    "replication_allocation" = "tag.location.default: 1"
+);
+```
+
+### Step 3: Load data
+
+```bash
+curl --location-trusted \
+        -u "root":"" \
+        -H "format:json" \
+        -H "columns: id, c_json" \
+        -H "strip_outer_array:true" \
+        -T "test_json.json" \
+        http://localhost:8040/api/testdb/json_test/_stream_load
+```
+
+### Step 4: Check the imported data
+
+```sql
+mysql> SELECT * FROM json_test;
++------+-------------------------------+
+| id   | c_json                        |
++------+-------------------------------+
+|    1 | {"name":"tom","age":35}       |
+|    2 | {"name":null,"age":28}        |
+|    3 | {"name":"micheal","age":null} |
+|    4 | {"name":null,"age":null}      |
+|    5 | NULL                          |
++------+-------------------------------+
+5 rows in set (0.01 sec)
+```