INSERT keyword

INSERT ingests selected data into a database table.

Syntax#

Inserting values directly or using sub-queries:

Flow chart showing the syntax of the INSERT keyword

Inserting using sub-query alias:

Flow chart showing the syntax of the WITH AS INSERT keyword

Description#

Inserting values directly or using sub-queries:

VALUE: Directly defines the values to be inserted.
SELECT: Inserts values based on the result of a SELECT query

Setting sub-qeury alias:

WITH AS: Inserts values based on a subu-query, to which an alias is given by using WITH.

Parameter:

batch expects a batchCount (integer) value defining how many records to process at any one time.

Examples#

Inserting all columns

INSERT INTO trades
VALUES(
    '2021-10-05T11:31:35.878Z',
    'AAPL',
    255,
    123.33,
    'B');

Bulk inserts

INSERT INTO trades
VALUES
    ('2021-10-05T11:31:35.878Z', 'AAPL', 245, 123.4, 'C'),
    ('2021-10-05T12:31:35.878Z', 'AAPL', 245, 123.3, 'C'),
    ('2021-10-05T13:31:35.878Z', 'AAPL', 250, 123.1, 'C'),
    ('2021-10-05T14:31:35.878Z', 'AAPL', 250, 123.0, 'C');

Specifying schema

INSERT INTO trades (timestamp, symbol, quantity, price, side)
VALUES(
    to_timestamp('2019-10-17T00:00:00', 'yyyy-MM-ddTHH:mm:ss'),
    'AAPL',
    255,
    123.33,
    'B');

note

Columns can be omitted during INSERT in which case the value will be NULL

Inserting only specific columns

INSERT INTO trades (timestamp, symbol, price)
VALUES(to_timestamp('2019-10-17T00:00:00', 'yyyy-MM-ddTHH:mm:ss'),'AAPL','B');

Inserting query results#

This method allows you to insert as many rows as your query returns at once.

Insert as select

INSERT INTO confirmed_trades
    SELECT timestamp, instrument, quantity, price, side
    FROM unconfirmed_trades
    WHERE trade_id = '47219345234';

Using the WITH keyword to set up an alias for a SELECT sub-query:

Insert with sub-query

WITH confirmed_id AS (
    SELECT * FROM unconfirmed_trades
    WHERE trade_id = '47219345234'
    )
INSERT INTO confirmed_trades
SELECT * FROM confirmed_id;

Parameters for QuestDB 6.5.5 and earlier versions#

note

Deprecated content

This section applies to QuestDB 6.5.5 and earlier versions. From QuestDB 6.6 onwards, the database adjusts relevant settings automatically and provides maximum ingestion speed.

Inserting values directly or using sub-queries:

Flow chart showing the syntax of the INSERT keyword with commit lag settings

Inserting using sub-query alias:

Flow chart showing the syntax of the WITH AS INSERT keyword with commit lag settings

The commitLag parameter may be provided to optimize INSERT AS SELECT or WITH AS queries when inserting out-of-order records into an ordered dataset:

commitLag expects a lagAmount with a modifier to specify the time unit for the value (i.e. 20s for 20 seconds). The following table describes the units that may be used:
unit description
us microseconds
s seconds
m minutes
h hours
d days

unit	description
us	microseconds
s	seconds
m	minutes
h	hours
d	days

Insert as select with lag and batch size

INSERT batch 100000 commitLag 180s INTO trades
SELECT ts, instrument, quantity, price
FROM unordered_trades