# Aggregations

### Count the records <a href="#count-the-records" id="count-the-records"></a>

Using the `COUNT` aggregate function you can count the records in a table. Run the following SQL to see how many records we have on the `customers_partitioned`:

```sql
SELECT 
    COUNT(*) AS total
FROM customers_partitioned
```

### Use SUM to aggregate your amounts <a href="#use-sum-to-aggregate-your-amounts" id="use-sum-to-aggregate-your-amounts"></a>

Using the `SUM` function you can sum records in a table.

```sql
SELECT 
    SUM(quantity * price) AS amount
FROM groceries
```

### Group data with GROUP BY <a href="#group-data-with-group-by" id="group-data-with-group-by"></a>

To group data use the `GROUP BY` clause:

```sql
CREATE TABLE customer (
    firstName STRING
    , lastName STRING
    , city STRING
    , country STRING
    , phone STRING) 
FORMAT(string, avro) 
properties(compacted=true);

INSERT INTO customer (
    _key
    ,firstName
    , lastName
    , city
    , country
    , phone)
VALUES
('1','Craig', 'Smith', 'New York', 'USA', '1-01-993 2800'),
('2','William', 'Maugham','Toronto','Canada','+1-613-555-0110'),
('3','William', 'Anthony','Leeds','UK', '+44 1632 960427'),
('4','S.B.','Swaminathan','Bangalore','India','+91 7513200000'),
('5','Thomas','Morgan','Arnsberg','Germany','+49-89-636-48018'),
('6','Thomas', 'Merton','New York','USA', '+1-617-555-0147'),
('7','Piers','Gibson','London','UK', '+44 1632 960269'),
('8','Nikolai','Dewey','Atlanta','USA','+1-404-555-0178'),
('9','Marquis', 'de Ellis','Rio De Janeiro','Brazil','+55 21 5555 5555'),
('10','Joseph', 'Milton','Houston','USA','+1-202-555-0153'),
('11','John','Betjeman Hunter','Sydney','Australia','+61 1900 654 321'),
('12','Evan', 'Hayek','Vancouver','Canada','+1-613-555-0130'),
('13','E.','Howard','Adelaide','Australia','+61 491 570 157'),
('14','C. J.', 'Wilde','London','UK','+44 1632 960111'),
('15','Butler', 'Andre','Florida','USA','+1-202-555-0107');
```

Let’s see how many customers there are from each country. Here is the code which computes that:

```sql
SELECT 
    COUNT(*) AS count
    , country
FROM customer
GROUP BY country

/* Output
2    Canada
3    UK
2    Australia
1    India
1    Brazil
5    USA
1    Germany
*/
```


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