druid/docs/querying/virtual-columns.md

---
id: virtual-columns
title: "Virtual columns"
---

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> Apache Druid supports two query languages: [Druid SQL](sql.md) and [native queries](querying.md).
> This document describes the native
> language. For information about functions available in SQL, refer to the
> [SQL documentation](sql-scalar.md).

Virtual columns are queryable column "views" created from a set of columns during a query.

A virtual column can potentially draw from multiple underlying columns, although a virtual column always presents itself as a single column.

Virtual columns can be used as dimensions or as inputs to aggregators.

Each Apache Druid query can accept a list of virtual columns as a parameter. The following scan query is provided as an example:

```
{
 "queryType": "scan",
 "dataSource": "page_data",
 "columns":[],
 "virtualColumns": [
    {
      "type": "expression",
      "name": "fooPage",
      "expression": "concat('foo' + page)",
      "outputType": "STRING"
    },
    {
      "type": "expression",
      "name": "tripleWordCount",
      "expression": "wordCount * 3",
      "outputType": "LONG"
    }
  ],
 "intervals": [
   "2013-01-01/2019-01-02"
 ]
}
```


## Virtual column types

### Expression virtual column

The expression virtual column has the following syntax:

```
{
  "type": "expression",
  "name": <name of the virtual column>,
  "expression": <row expression>,
  "outputType": <output value type of expression>
}
```

|property|description|required?|
|--------|-----------|---------|
|name|The name of the virtual column.|yes|
|expression|An [expression](../misc/math-expr.md) that takes a row as input and outputs a value for the virtual column.|yes|
|outputType|The expression's output will be coerced to this type. Can be LONG, FLOAT, DOUBLE, or STRING.|no, default is FLOAT|