Home > Mobile >  How to add double quotes for Varchar values with Columns and Values from Snowflake DB
How to add double quotes for Varchar values with Columns and Values from Snowflake DB

Time:07-21

While I am reading from the Snowflake DB, I need to read columns and values for Varchar fields. Something like the following: select varchar_col1, varchar_col2, numeric_col3 from my_table

varchar_col1          varchar_col2             numeric_col3
 
test_value1           test_value2                 99999

I want to output something like following:

"varchar_col1"       "varchar_col2"         numeric_col3

 "test_value1"        "test_value2"             99999

Is it possible to achieve something like this? I tried various ways but was unable to do so. For example, I tried to use this Snowflake: SELECT "COLUMN" with double quotes.

CodePudding user response:

this may work for you.

select '"' ||  varchar_col1 as varchar_col1 , '"' ||  varchar_col2 || '"' as varchar_col2, '"' ||  numeric_col3 || '"' as numeric_col3
from (                         
 select  column1 as varchar_col1, column2 as varchar_col2, column3 as numeric_col3 from values
('test_value1', 'test_value2',99999)
  );

CodePudding user response:

You can convert the varchar to a variant to add double quotes, or you can concatenate the double quotes with the column values as Himanshu showed.

As I understand, you also want column names in double quotes. For this, you need to surround the column name with double quotes while escaping the double quotes belonging to the name:

varchar_col1 -> """varchar_col1"""

select varchar_col1::variant """varchar_col1""", '"' ||  varchar_col2 || '"' """varchar_col2""", numeric_col3 "numeric_col3"
from values
('test_value1', 'test_value2',99999) t(varchar_col1, varchar_col2, numeric_col3);

 ---------------- ---------------- -------------- 
| "varchar_col1" | "varchar_col2" | numeric_col3 |
 ---------------- ---------------- -------------- 
| "test_value1"  | "test_value2"  |        99999 |
 ---------------- ---------------- -------------- 
  • Related