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[type](docs)add example for sql_dialect #31536

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2024-02-28 22:29:31 +08:00
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60
docs/en/docs/lakehouse/sql-dialect.md
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@ -54,10 +54,64 @@ Starting from version 2.1, Doris can support multiple SQL dialects, such as Pres
## Use SQL dialect
Here we take the Presto/Trino SQL dialect as an example:
example:
1. `set sql_dialect = "presto";`
2. Execute any Presto/Trino SQL syntax for data query.
- Presto
```sql
mysql> set sql_dialect=presto;
Query OK, 0 rows affected (0.00 sec)
mysql> SELECT cast(start_time as varchar(20)) as col1,
-> array_distinct(arr_int) as col2,
-> FILTER(arr_str, x -> x LIKE '%World%') as col3,
-> to_date(value,'%Y-%m-%d')as col4,
-> YEAR(start_time) as col5,
-> date_add('month', 1, start_time) as col6,
-> date_format(start_time, '%Y%m%d')as col7,
-> REGEXP_EXTRACT_ALL(value, '-.') as col8,
-> JSON_EXTRACT('{"id": "33"}', '$.id')as col9,
-> element_at(arr_int, 1) as col10,
-> date_trunc('day',start_time) as col11
-> FROM test_sqlconvert
-> where date_trunc('day',start_time)= DATE'2024-05-20'
-> order by id;
+---------------------+-----------+-----------+-------------+------+---------------------+----------+-------------+------+-------+---------------------+
| col1 | col2 | col3 | col4 | col5 | col6 | col7 | col8 | col9 | col10 | col11 |
+---------------------+-----------+-----------+-------------+------+---------------------+----------+-------------+------+-------+---------------------+
| 2024-05-20 13:14:52 | [1, 2, 3] | ["World"] | 2024-01-14 | 2024 | 2024-06-20 13:14:52 | 20240520 | ['-0','-1'] | "33" | 1 | 2024-05-20 00:00:00 |
+---------------------+-----------+-----------+-------------+------+---------------------+----------+-------------+------+-------+---------------------+
1 row in set (0.13 sec)
```
- Clickhouse
```sql
mysql> set sql_dialect=clickhouse;
Query OK, 0 rows affected (0.01 sec)
mysql> select toString(start_time) as col1,
-> arrayCompact(arr_int) as col2,
-> arrayFilter(x -> x like '%World%',arr_str)as col3,
-> toDate(value) as col4,
-> toYear(start_time)as col5,
-> addMonths(start_time, 1)as col6,
-> toYYYYMMDD(start_time, 'US/Eastern')as col7,
-> extractAll(value, '-.')as co8,
-> JSONExtractString('{"id": "33"}' , 'id')as col9,
-> arrayElement(arr_int, 1) as col10,
-> date_trunc('day',start_time) as col11
-> FROM test_sqlconvert
-> where date_trunc('day',start_time)= '2024-05-20 00:00:00'
-> order by id;
+---------------------+-----------+-----------+------------+------+---------------------+----------+-------------+------+-------+---------------------+
| col1 | col2 | col3 | col4 | col5 | col6 | col7 | co8 | col9 | col10 | col11 |
+---------------------+-----------+-----------+------------+------+---------------------+----------+-------------+------+-------+---------------------+
| 2024-05-20 13:14:52 | [1, 2, 3] | ["World"] | 2024-01-14 | 2024 | 2024-06-20 13:14:52 | 20240520 | ['-0','-1'] | "33" | 1 | 2024-05-20 00:00:00 |
+---------------------+-----------+-----------+------------+------+---------------------+----------+-------------+------+-------+---------------------+
1 row in set (0.04 sec)
```
Currently supported dialect types include:

60
docs/zh-CN/docs/lakehouse/sql-dialect.md
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@ -54,10 +54,64 @@ under the License.
## 使用 SQL 方言
这里我们以 Presto/Trino SQL 方言为例。
示例:
1. `set sql_dialect = "presto";`
2. 执行任意 Presto/Trino SQL 语法进行数据查询。
- Presto
```sql
mysql> set sql_dialect=presto;
Query OK, 0 rows affected (0.00 sec)
mysql> SELECT cast(start_time as varchar(20)) as col1,
-> array_distinct(arr_int) as col2,
-> FILTER(arr_str, x -> x LIKE '%World%') as col3,
-> to_date(value,'%Y-%m-%d')as col4,
-> YEAR(start_time) as col5,
-> date_add('month', 1, start_time) as col6,
-> date_format(start_time, '%Y%m%d')as col7,
-> REGEXP_EXTRACT_ALL(value, '-.') as col8,
-> JSON_EXTRACT('{"id": "33"}', '$.id')as col9,
-> element_at(arr_int, 1) as col10,
-> date_trunc('day',start_time) as col11
-> FROM test_sqlconvert
-> where date_trunc('day',start_time)= DATE'2024-05-20'
-> order by id;
+---------------------+-----------+-----------+-------------+------+---------------------+----------+-------------+------+-------+---------------------+
| col1 | col2 | col3 | col4 | col5 | col6 | col7 | col8 | col9 | col10 | col11 |
+---------------------+-----------+-----------+-------------+------+---------------------+----------+-------------+------+-------+---------------------+
| 2024-05-20 13:14:52 | [1, 2, 3] | ["World"] | 2024-01-14 | 2024 | 2024-06-20 13:14:52 | 20240520 | ['-0','-1'] | "33" | 1 | 2024-05-20 00:00:00 |
+---------------------+-----------+-----------+-------------+------+---------------------+----------+-------------+------+-------+---------------------+
1 row in set (0.13 sec)
```
- Clickhouse
```sql
mysql> set sql_dialect=clickhouse;
Query OK, 0 rows affected (0.01 sec)
mysql> select toString(start_time) as col1,
-> arrayCompact(arr_int) as col2,
-> arrayFilter(x -> x like '%World%',arr_str)as col3,
-> toDate(value) as col4,
-> toYear(start_time)as col5,
-> addMonths(start_time, 1)as col6,
-> toYYYYMMDD(start_time, 'US/Eastern')as col7,
-> extractAll(value, '-.')as co8,
-> JSONExtractString('{"id": "33"}' , 'id')as col9,
-> arrayElement(arr_int, 1) as col10,
-> date_trunc('day',start_time) as col11
-> FROM test_sqlconvert
-> where date_trunc('day',start_time)= '2024-05-20 00:00:00'
-> order by id;
+---------------------+-----------+-----------+------------+------+---------------------+----------+-------------+------+-------+---------------------+
| col1 | col2 | col3 | col4 | col5 | col6 | col7 | co8 | col9 | col10 | col11 |
+---------------------+-----------+-----------+------------+------+---------------------+----------+-------------+------+-------+---------------------+
| 2024-05-20 13:14:52 | [1, 2, 3] | ["World"] | 2024-01-14 | 2024 | 2024-06-20 13:14:52 | 20240520 | ['-0','-1'] | "33" | 1 | 2024-05-20 00:00:00 |
+---------------------+-----------+-----------+------------+------+---------------------+----------+-------------+------+-------+---------------------+
1 row in set (0.04 sec)
```
目前支持的方言类型包括：