UNNEST

UNNEST function. Definition, syntax, examples and common errors using BigQuery Standard SQL. The UNNEST function takes an ARRAY and returns a table with a row for each element in the ARRAY.

Definition

The UNNEST function takes an ARRAY and returns a table with a row for each element in the ARRAY.

unnest_column
1
2
2
5
null

The optional WITH OFFSET clause provides an additional column containing the position of each element in the array (starting at zero) for each row produced by UNNEST.

unnest_columnoffset
10
21
22
53
null4

Practical Info

  • UNNEST requires an ARRAY as an input but can return a table of any structure.
  • Empty arrays and NULL as an input returns an empty table. An array containing NULL values will produce a row of NULL values.

Common Questions

How can I quickly generate a table of values in BigQuery?

You can use UNNEST to quickly create simple tables from arrays. For example:

UNNEST(ARRAY) [WITH OFFSET]
fruitnumber
apples4
pears6
bananas2

How do I join each element in an array column to its corresponding row?

You can do this with a CROSS JOIN. A cross join will take every individual element of your unnested array and join it back to its parent row. This will create multiple rows for each element of your array but you can then filter it down.

fruitbasketfruit_unnest
bananas,apples,orangesbasket 1bananas
bananas,apples,orangesbasket 1apples
bananas,apples,orangesbasket 1oranges
bananas,orangesbasket 2bananas
bananas,orangesbasket 2oranges
bananas,applesbasket 3bananas
bananas,applesbasket 3apples
SELECT
  *
FROM
  UNNEST([1, 2, 2, 5, NULL]) AS unnest_column
SELECT
  *
FROM
  UNNEST([1, 2, 2, 5, NULL]) AS unnest_column WITH OFFSET AS `offset`
SELECT
  *
FROM
  UNNEST(
       ARRAY<STRUCT<fruit STRING , number INT64>>[
         ('apples', 4), ('pears', 6), ('bananas', 2)
       ]
  )
AS simple_table;
WITH fruit_baskets as 
(
  SELECT
    * 
  FROM
    UNNEST(
      ARRAY<STRUCT<fruit ARRAY<STRING>,basket STRING>>[
        (['bananas', 'apples', 'oranges'], 'basket 1'),
        (['bananas', 'oranges'], 'basket 2'),
        (['bananas', 'apples'], 'basket 3')
      ]
    )
  AS fruit
)

SELECT * 
FROM fruit_baskets 
CROSS JOIN UNNEST(fruit) as fruit_unnest

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