docs/mindsdb_sql/sql/api/insert.mdx
The INSERT INTO statement inserts data into a table. The data comes from a subselect query. It is commonly used to input prediction results into a database table.
Here is the syntax:
INSERT INTO integration_name.table_name
(SELECT ...);
Please note that the destination table (integration_name.table_name) must
exist and contain all the columns where the data is to be inserted.
And the steps followed by the syntax:
INSERT INTO statement to insert the output of the
(SELECT ...) query into the integration_name.table_name table.On execution, we get:
Query OK, 0 row(s) updated - x.xxxs
We want to save the prediction results into the int1.tbl1 table.
Here is the schema structure used throughout this example:
int1
└── tbl1
mindsdb
└── predictor_name
int2
└── tbl2
Where:
| Name | Description |
|---|---|
int1 | Integration where the table that stores prediction results resides. |
tbl1 | Table that stores prediction results. |
predictor_name | Name of the model. |
int2 | Integration where the data source table used in the inner SELECT statement resides. |
tbl2 | Data source table used in the inner SELECT statement. |
Let's execute the query.
INSERT INTO int1.tbl1 (
SELECT *
FROM int2.tbl2 AS ta
JOIN mindsdb.predictor_name AS tb
WHERE ta.date > '2015-12-31'
);
On execution, we get:
Query OK, 0 row(s) updated - x.xxxs