SELECT from nothing?

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Is it possible to have a statement like

SELECT "Hello world"
WHERE 1 = 1

in SQL?

The main thing I want to know, is can I SELECT from nothing, ie not have a FROM clause.

14 Answers

Try this.

Single:

SELECT *  FROM (VALUES ('Hello world')) t1 (col1) WHERE 1 = 1

Multi:

SELECT *  FROM (VALUES ('Hello world'),('Hello world'),('Hello world')) t1 (col1) WHERE 1 = 1

more detail here : http://modern-sql.com/use-case/select-without-from

Here is the most complete list of database support of dual from https://blog.jooq.org/tag/dual-table/:

In many other RDBMS, there is no need for dummy tables, as you can issue statements like these:

SELECT 1;
SELECT 1 + 1;
SELECT SQRT(2);

These are the RDBMS, where the above is generally possible:

  • H2
  • MySQL
  • Ingres
  • Postgres
  • SQLite
  • SQL Server
  • Sybase ASE

In other RDBMS, dummy tables are required, like in Oracle. Hence, you’ll need to write things like these:

SELECT 1       FROM DUAL;
SELECT 1 + 1   FROM DUAL;
SELECT SQRT(2) FROM DUAL;

These are the RDBMS and their respective dummy tables:

  • DB2: SYSIBM.DUAL
  • Derby: SYSIBM.SYSDUMMY1
  • H2: Optionally supports DUAL
  • HSQLDB: INFORMATION_SCHEMA.SYSTEM_USERS
  • MySQL: Optionally supports DUAL
  • Oracle: DUAL
  • Sybase SQL Anywhere: SYS.DUMMY

Ingres has no DUAL, but would actually need it as in Ingres you cannot have a WHERE, GROUP BY or HAVING clause without a FROM clause.

There is another possibility - standalone VALUES():

VALUES ('Hello World');

Output:

column1
Hello World

It is useful when you need to specify multiple values in compact way:

VALUES (1, 'a'), (2, 'b'), (3, 'c');

Output:

column1     column2
      1     a
      2     b
      3     c

DBFiddle Demo

This syntax is supported by SQLite/PostgreSQL/DB LUW/MariaDB 10.3.

For ClickHouse, the nothing is system.one

SELECT 1 FROM system.one

In Firebird, you can do this:

select "Hello world" from RDB$DATABASE;

RDB$DATABASE is a special table that always has one row.

For DB2:

`VALUES('Hello world')`

You can do multiple "rows" as well:

`VALUES('Hello world'),('Goodbye world');`

You can even use them in joins as long as the types match:

VALUES(1,'Hello world')
UNION ALL
VALUES(2,'Goodbye world');
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