在 Impala DB 中创建表作为选择百分比子查询

Question

我是 Impala 的新手，我需要使用选择结果集创建表，此外，此 sql 是使用 JDBC 在 Java 中运行的，请参阅下面的查询：

create table if not exists my_temp_table as select 
41 as rule_id,49 as record_id,
(select count(1) as val from dirty_table where msg regexp '^[1]([3-9])[0-9]{9}$' )/(select count(1) from dirty_table);

我需要创建表my_temp_table 并将数据插入到该表中，这是我需要运行的一条SQL。但它运行失败并给出如下错误：

[HY000][500051] [Cloudera][ImpalaJDBCDriver](500051) ERROR processing query/statement. Error Code: 0, SQL state: TStatus(statusCode:ERROR_STATUS, sqlState:HY000, errorMessage:ParseException: Syntax error

经过检查，我知道 Impala 不支持SELECT 子句子查询，我们只能使用子查询 在 FROM 或 WHERE 子句中，请参阅 Impala 文档：https://impala.apache.org/docs/build/html/topics/impala_subqueries.html。

所以对于这个问题，我该如何解决这个问题。

我的想法：

1. 更新sql让它执行，我试过WITH就像下面的sql，它可以工作但不能用于 CREATE TABLE ... AS ...。

    WITH q1 AS (
      select count(1) as val from dirty_table where msg regexp '^[1]([3-9])[0-9]{9}$'
    ),
    q2 AS (
      select count(1) val2 from dirty_table
    )
    SELECT 100 * q1.val / q2.val2  result
    FROM q1, q2

1. 或者，MySQL或Oracle中是否有类似BEGIN ... END的语句，那么我可以单独运行这个sql。

Answer 1

通过您的示例，我会尝试这些方法，我相信这些方法可以正常工作。 我用 Impala 检查了解决方案

CREATE TABLE dirty_table (
 id INT,
 msg STRING
)
ROW FORMAT DELIMITED FIELDS TERMINATED  BY ','
STORED AS TEXTFILE;


[localhost.localdomain:21000] > SELECT * FROM dirty_table;
Query: SELECT * FROM dirty_table
Query submitted at: 2020-07-28 17:05:24 (Coordinator: http://localhost.localdomain:25000)
Query progress can be monitored at: http://localhost.localdomain:25000/query_plan?query_id=5441d6a46ce61e7b:8e49432600000000
+----+-------------+
| id | msg         |
+----+-------------+
| 1  | 13321512121 |
| 2  | 13121212121 |
| 3  | 03121212121 |
| 4  | 13321512121 |
| 5  | 13121212121 |
| 6  | 03121212121 |
| 7  | 13121212121 |
+----+-------------+
Fetched 7 row(s) in 0.14s

第一个例子

CREATE TABLE IF NOT EXISTS my_temp_table AS
SELECT 41 AS rule_id, 49 AS record_id, val1 / val2 AS result
FROM (SELECT COUNT(1) AS val1 FROM dirty_table WHERE msg regexp '^[1]([3-9])[0-9]{9}$' ) a,
     (SELECT COUNT(1) AS val2 FROM dirty_table) b;

[localhost.localdomain:21000] > CREATE TABLE IF NOT EXISTS my_temp_table AS
                              > SELECT 41 AS rule_id, 49 AS record_id, val1 / val2 AS result
                              > FROM (SELECT COUNT(1) AS val1 FROM dirty_table WHERE msg regexp '^[1]([3-9])[0-9]{9}$' ) a,
                              >      (SELECT COUNT(1) AS val2 FROM dirty_table) b;
Query: CREATE TABLE IF NOT EXISTS my_temp_table AS
SELECT 41 AS rule_id, 49 AS record_id, val1 / val2 AS result
FROM (SELECT COUNT(1) AS val1 FROM dirty_table WHERE msg regexp '^[1]([3-9])[0-9]{9}$' ) a,
     (SELECT COUNT(1) AS val2 FROM dirty_table) b
+-------------------+
| summary           |
+-------------------+
| Inserted 0 row(s) |
+-------------------+
Fetched 1 row(s) in 0.21s

[localhost.localdomain:21000] > invalidate metadata;

[localhost.localdomain:21000] > SELECT * FROM my_temp_table;
Query: select * from my_temp_table
Query submitted at: 2020-07-28 17:03:44 (Coordinator: http://localhost.localdomain:25000)
Query progress can be monitored at: http://localhost.localdomain:25000/query_plan?query_id=47370bf793a09b:29c4dfa000000000
+---------+-----------+--------------------+
| rule_id | record_id | result             |
+---------+-----------+--------------------+
| 41      | 49        | 0.7142857142857143 |
+---------+-----------+--------------------+
Fetched 1 row(s) in 0.13s

第二个例子

DROP TABLE my_temp_table;

CREATE TABLE IF NOT EXISTS my_temp_table AS 
SELECT result FROM
    (WITH q1 AS (
      SELECT COUNT(1) AS val FROM dirty_table WHERE msg regexp '^[1]([3-9])[0-9]{9}$'
    ),
    q2 AS (
      SELECT COUNT(1) val2 FROM dirty_table
    )
    SELECT 100 * q1.val / q2.val2 AS result
    FROM q1, q2) t;

[localhost.localdomain:21000] > CREATE TABLE IF NOT EXISTS my_temp_table AS 
                              > SELECT result FROM
                              >     (WITH q1 AS (
                              >       SELECT COUNT(1) AS val FROM dirty_table WHERE msg regexp '^[1]([3-9])[0-9]{9}$'
                              >     ),
                              >     q2 AS (
                              >       SELECT COUNT(1) val2 FROM dirty_table
                              >     )
                              >     SELECT 100 * q1.val / q2.val2 AS result
                              >     FROM q1, q2) t;
Query: CREATE TABLE IF NOT EXISTS my_temp_table AS
SELECT result FROM
    (WITH q1 AS (
      SELECT COUNT(1) AS val FROM dirty_table WHERE msg regexp '^[1]([3-9])[0-9]{9}$'
    ),
    q2 AS (
      SELECT COUNT(1) val2 FROM dirty_table
    )
    SELECT 100 * q1.val / q2.val2 AS result
    FROM q1, q2) t
+-------------------+
| summary           |
+-------------------+
| Inserted 1 row(s) |
+-------------------+
Fetched 1 row(s) in 0.40s

[localhost.localdomain:21000] > invalidate metadata;

[localhost.localdomain:21000] > SELECT * FROM my_temp_table;
Query: SELECT * FROM my_temp_table
Query submitted at: 2020-07-28 17:08:17 (Coordinator: http://localhost.localdomain:25000)
Query progress can be monitored at: http://localhost.localdomain:25000/query_plan?query_id=3447684ef59d0c4:f70779200000000
+-------------------+
| result            |
+-------------------+
| 71.42857142857143 |
+-------------------+
Fetched 1 row(s) in 0.74s

Answer 2

我认为条件平均可以简单高效地完成您想要的操作，只需一次表扫描：

select avg(case when msg regexp '^[1]([3-9])[0-9]{9}$' then 100.0 else 0 end) result
from dirty_table

您可以将其转换为create table 声明：

create table my_temp_table as
select avg(case when msg regexp '^[1]([3-9])[0-9]{9}$' then 100.0 else 0 end) result
from dirty_table