SQL Reference
NULL values
NULL
values in immudb are not unique - two NULL
values are considered equal on comparisons.
Common examples of CREATE TABLE
statements are presented below.
IF NOT EXISTS
With this clause the CREATE TABLE
statement will not fail if a table with same name already exists.
Note: If the table already exists, it is not compared against the provided table definition neither it is updated to match it.
NOT NULL
Columns marked as not null can not have a null value assigned.
PRIMARY KEY
Every table in immudb must have a primary key. Primary key can use at least 1 and up to 8 columns.
Columns used in a primary key can not have NULL
values assigned, even if those columns are not explicitly marked as NOT NULL
.
Primary key creates an implicit unique index on all contained columns.
AUTO_INCREMENT
A single-column PRIMARY KEY
can be marked as AUTO_INCREMENT
. immudb will automatically set a unique value of this column for new rows.
When inserting data into a table with an INSERT
statement, the value for such primary key must be omitted. When updating data in such table with UPSERT
statement, the value for such primary key is obligatory and the UPSERT
statement can only update existing rows.
The type of an AUTO_INCREMENT
column must be INTEGER
. Internally immudb will assign sequentially increasing values for new rows ensuring this value is unique within a single table.
Foreign keys
Explicit support for relations to foreign tables is not currently supported in immudb. It is possible however to create ordinary columns containing foreign key values that can be used in JOIN
statements. Application logic is responsible for ensuring data consistency and foreign key constraints.
SELECT * FROM orders
INNER JOIN customers ON customers.id = orders.customerid
INNER JOIN products ON products.id = orders.productid;
immudb indexes can be used for a quick search of rows with columns having specific values.
Certain operations such as ordering values with ORDER BY
clause require columns to be indexed.
CREATE INDEX ON customers(customer_name);
CREATE INDEX ON customers(country, ip);
CREATE INDEX IF NOT EXISTS ON customers(active);
CREATE UNIQUE INDEX ON customers(email);
Index do not have explicit name and is referenced by the ordered list of indexed columns.
Column value constraints
Columns of BLOB
or VARCHAR
type must have a size limit set on them. The maximum allowed value size for one indexed column is 256 bytes.
Values for indexed columns can not be NULL
even if the column is not explicitly marked as NOT NULL
.
Unique indexes
Index can be marked as unique with extra UNIQUE
keyword. Unique index will prevent insertion of new data into the table that would violate uniqueness of indexed columns within the table.
Index can be set on up to 8 columns. The order of columns is important when doing range scans, iterating over such index will first sort by the value of the first column, then by the second and so on.
Note: Large indexes will increase the storage requirement and will reduce the performance of data insertion. Iterating using small indexes will also be faster than with the large ones.
IF NOT EXISTS
With this clause the CREATE INDEX
statement will not fail if an index with same type and list of columns already exists. This includes a use case where the table is not empty which can be used to simplify database schema initialization.
Note: If the index already exists, it is not compared against the provided index definition neither it is updated to match it.
INSERT
immudb supports standard INSERT
sql statement. It can be used to add one or multiple values within the same transaction.
INSERT INTO customers (
id, customer_name, email, address,
city, ip, country, age, active
)
VALUES (
1,
'Isidro Behnen',
'ibehnen0@mail.ru',
'ibehnen0@chronoengine.com',
'Arvika',
'127.0.0.15',
'SE',
24,
true
);
INSERT INTO products (id, product, price)
( 1, 'Juice - V8, Tomato', '$4.04' ),
( 2, 'Milk', '$3.24' );
INSERT INTO orders (customerid, productid)
VALUES (1, 1), (1, 2);
INSERT INTO customer_review (customerid, productid, review)
VALUES
(1, 1, 'Nice Juice!');
UPSERT
UPSERT
is an operation with a syntax similar to INSERT
, the difference between those two is that UPSERT
either creates a new or replaces an existing row. A new row is created if an entry with the same primary key does not yet exist in the table, otherwise the current row is replaced with the new one.
Currently UPSERT
can only be performed on tables without secondary indexes (other than the one used for the primary key). This constraint will be removed in the future.
If a table contains an AUTO_INCREMENT
primary key, the value for that key must be provided and the UPSERT
operation will only update the existing row.
UPSERT INTO products (id, product, price)
VALUES
( 2, 'Milk', '$3.17' ),
( 3, 'Grapes - Red', '$5.03' );
UPSERT INTO orders (id, customerid, productid)
VALUES (1, 1, 3);
Selecting all columns
All columns from all joined tables can be queried with SELECT *
statement.
SELECT *
FROM products;
Selecting specific columns
Filtering entries
SELECT id, customer_name, email
FROM customers
WHERE country = 'SE' AND city = 'Arvika';
Ordering by column value
SELECT id, customer_name
FROM customers
ORDER BY customer_name ASC;
Currently only one column can be used in the ORDER BY
clause.
Ordering rows by a value of a column requires a matching index on that column.
INNER JOIN
immudb supports standard SQL INNER JOIN
syntax. The INNER
join type is optional.
SELECT *
FROM orders
INNER JOIN customers ON orders.customerid = customers.id;
SELECT *
FROM orders
JOIN customers ON orders.customerid = customers.id
WHERE orders.productid = 2;
SELECT * FROM orders
JOIN customers ON customers.id = orders.customerid
JOIN products ON products.id = orders.productid;
immudb supports the LIKE
operator. Unlike in other SQL engines though, the pattern use a regexp syntax supported by the regexp library in the go language (opens new window).
A NOT
prefix negates the value of the LIKE
operator.
SELECT product
FROM products
WHERE product LIKE '(J.*ce|Red)';
SELECT product
FROM products
WHERE product NOT LIKE '(J.*ce|Red)';
SELECT id, product
FROM products
WHERE (id > 0 AND NOT products.id >= 10)
AND (products.product LIKE 'J');
IN
operator
immudb has a basic supports for the IN
operator.
A prefix negates the value of the IN
operator.
Note: Currently the list for the IN
operator can not be calculated using a sub-query.
SELECT product
FROM products
WHERE product IN ('Milk', 'Grapes - Red');
FROM products
WHERE product NOT IN ('Milk', 'Grapes - Red');
SELECT id, product
FROM products
WHERE (id > 0 AND NOT products.id >= 10)
AND (product IN ('Milk', 'Grapes - Red'));
Column and table aliasing
Table name aliasing is necessary when using more than one join with the same table.
Aggregations
Available aggregation functions:
- COUNT
- SUM
- MAX
- MIN
- AVG
SELECT
COUNT() AS c,
SUM(age),
MIN(age),
MAX(age),
AVG(age)
FROM customers;
Grouping results with GROUP BY
Results can be grouped by a value of a single column. That column must also be used in a matching ORDER BY
clause.
SELECT COUNT() as customer_count, country
FROM customers
GROUP BY country
ORDER BY country;
Filtering grouped results with HAVING
SELECT
active,
COUNT() as c,
MIN(age),
MAX(age)
FROM customers
GROUP BY active
HAVING COUNT() > 0
ORDER BY active DESC;
Sub-queries
The table in the SELECT
or JOIN
clauses can be replaced with a sub-query.
SELECT * FROM (
SELECT id, customer_name
FROM customers
WHERE age < 30
)
INNER JOIN customer_review
ON customer_review.customerid = customers.id;
SELECT * FROM (
SELECT id, customer_name
FROM customers
WHERE age < 30
) AS c
INNER JOIN (
SELECT * FROM customer_review
) AS r
ON r.customerid = c.id;
Note: the context of a sub-query does not propagate outside, e.g. it is not possible to reference a table from a sub-query in the WHERE
clause outside of the sub-query.
Basic transactions
Multiple insert and upsert statements can be issued within a single transaction.
Note: The example below won’t work in the current version of the immudb webconsole. The easiest way to tested it is with the ./immuclient exec "..."
shell command (make sure to use an escaped \$
value to avoid cutting out part of the price).
BEGIN TRANSACTION
UPSERT INTO products (id, price, product)
VALUES (4, '$5.76', 'Bread');
INSERT INTO orders(productid, customerid)
COMMIT;
Time travel
A historical version of a table can be used in SELECT
statements using the BEFORE TX
clause: