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Description

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.

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Syntax

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:

  • It executes a subselect query to get the output dataset.
  • It uses the 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

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Example

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:

NameDescription
int1Integration where the table that stores prediction results resides.
tbl1Table that stores prediction results.
predictor_nameName of the model.
int2Integration where the data source table used in the inner SELECT statement resides.
tbl2Data 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