From 8576c3c53fc545b49fe6b713816d79c7d6198c01 Mon Sep 17 00:00:00 2001 From: HuangHaijun <1968749040@qq.com> Date: Wed, 28 Feb 2024 17:19:05 +0800 Subject: [PATCH] add example for sql_dialect --- docs/en/docs/lakehouse/sql-dialect.md | 62 ++++++++++++++++++++++-- docs/zh-CN/docs/lakehouse/sql-dialect.md | 62 ++++++++++++++++++++++-- 2 files changed, 116 insertions(+), 8 deletions(-) diff --git a/docs/en/docs/lakehouse/sql-dialect.md b/docs/en/docs/lakehouse/sql-dialect.md index fe89d8e485f60a..c6716205583b79 100644 --- a/docs/en/docs/lakehouse/sql-dialect.md +++ b/docs/en/docs/lakehouse/sql-dialect.md @@ -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: - -1. `set sql_dialect = "presto";` -2. Execute any Presto/Trino SQL syntax for data query. +example: + +- 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: diff --git a/docs/zh-CN/docs/lakehouse/sql-dialect.md b/docs/zh-CN/docs/lakehouse/sql-dialect.md index f54e5af74c068f..3b731b949da96b 100644 --- a/docs/zh-CN/docs/lakehouse/sql-dialect.md +++ b/docs/zh-CN/docs/lakehouse/sql-dialect.md @@ -54,10 +54,64 @@ under the License. ## 使用 SQL 方言 -这里我们以 Presto/Trino SQL 方言为例。 - -1. `set sql_dialect = "presto";` -2. 执行任意 Presto/Trino SQL 语法进行数据查询。 +示例: + +- 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：