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Work with JSON in Azure Cosmos DB for NoSQL

  • Članak

APPLIES TO: NoSQL

In Azure Cosmos DB for NoSQL, items are stored as JSON. The type system and expressions are restricted to deal only with JSON types. For more information, see the JSON specification.

We summarize some important aspects of working with JSON:

  • JSON objects always begin with a { left brace and end with a } right brace
  • You can have JSON properties nested within one another
  • JSON property values can be arrays
  • JSON property names are case sensitive
  • JSON property name can be any string value (including spaces or characters that aren't letters)

Nested properties

You can access nested JSON using a dot (.) accessor. You can use nested JSON properties in your queries the same way that you can use any other properties.

Here's a document with nested JSON:

{
  "name": "Teapo rainbow surfboard",
  "manufacturer": {
    "name": "AdventureWorks"
  },
  "releaseDate": null,
  "metadata": {
    "sku": "72109",
    "colors": [
      "cruise",
      "picton-blue"
    ],
    "sizes": {
      "small": {
        "inches": 76,
        "feet": 6.33333
      },
      "large": {
        "inches": 92,
        "feet": 7.66667
      }
    }
  }
}

In this case, the sku, colors, and sizes properties are all nested within the metadata property. The name property is also nested within the manufacturer property.

This first example projects three nested properties.

SELECT
    p.manufacturer.name,
    p.metadata.sku,
    p.metadata.sizes.small.inches AS size
FROM
    products p

[
  {
    "name": "AdventureWorks",
    "sku": "72109",
    "size": 76
  }
]

Work with arrays

In addition to nested properties, JSON also supports arrays. When working with arrays, you can access a specific element within the array by referencing its position.

This example accesses an array element at a specific position.

SELECT
    p.name,
    p.metadata.colors
FROM
    products p
WHERE
    p.metadata.colors[0] NOT LIKE "%orange%"

[
  {
    "name": "Teapo rainbow surfboard",
    "colors": [
      "cruise",
      "picton-blue"
    ]
  }
]

In most cases, however, you use a subquery or self-join when working with arrays.

For example, here's a query that returns multiple permutations using the potential array values and a cross-join,

SELECT
    p.name,
    c AS color
FROM
    products p
JOIN
    c IN p.metadata.colors

[
  {
    "name": "Teapo rainbow surfboard",
    "color": "cruise"
  },
  {
    "name": "Teapo rainbow surfboard",
    "color": "picton-blue"
  }
]

As another example, the query could also use EXISTS with a subquery.

SELECT VALUE
    p.name
FROM
    products p
WHERE
    EXISTS (SELECT VALUE 
        c
    FROM
        c IN p.metadata.colors
    WHERE
        c LIKE "%picton%")

[
  "Teapo rainbow surfboard"
]

Difference between null and undefined

If a property isn't defined in an item, then its value is undefined. A property with the value null must be explicitly defined and assigned a null value.

Azure Cosmos DB for NoSQL supports two helpful type checking system functions for null and undefined properties:

  • IS_NULL - checks if a property value is null.
  • IS_DEFINED - checks if a property value is defined or undefined.

Here's an example query that checks for two fields on each item in the container.

SELECT
    IS_NULL(p.releaseDate) AS isReleaseDateNull,
    IS_DEFINED(p.releaseDate) AS isReleaseDateDefined,
    IS_NULL(p.retirementDate) AS isRetirementDateNull,
    IS_DEFINED(p.retirementDate) AS isRetirementDateDefined
FROM
    products p

[
  {
    "isReleaseDateNull": true,
    "isReleaseDateDefined": true,
    "isRetirementDateNull": false,
    "isRetirementDateDefined": false
  }
]

For more information about common operators and their behavior for null and undefined values, see equality and comparison operators.

Reserved keywords and special characters in JSON

You can access properties using the quoted property operator []. For example, SELECT c.grade and SELECT c["grade"] are equivalent. This syntax is useful to escape a property that contains spaces, special characters, or has the same name as a SQL keyword or reserved word.

For example, here's a query that references a property a few distinct ways.

SELECT
    p.manufacturer.name AS dotNotationReference,
    p["manufacturer"]["name"] AS bracketReference,
    p.manufacturer["name"] AS mixedReference
FROM
    products p

[
  {
    "dotNotationReference": "AdventureWorks",
    "bracketReference": "AdventureWorks",
    "mixedReference": "AdventureWorks"
  }
]

JSON expressions

Query projection supports JSON expressions and syntax.

SELECT {
    "productName": p.name,
    "largeSizeInFeet": p.metadata.sizes.large.feet
}
FROM
    products p

[
  {
    "$1": {
      "productName": "Teapo rainbow surfboard",
      "largeSizeInFeet": 7.66667
    }
  }
]

In this example, the SELECT clause creates a JSON object. Since the sample provides no key, the clause uses the implicit argument variable name $<index-number>.

This example explicitly names the same field.

SELECT {
    "productName": p.name,
    "largeSizeInFeet": p.metadata.sizes.large.feet
} AS product
FROM
    products p

[
  {
    "product": {
      "productName": "Teapo rainbow surfboard",
      "largeSizeInFeet": 7.66667
    }
  }
]

Alternatively, the query can flatten the object to avoid naming a redundant field.

SELECT VALUE {
    "productName": p.name,
    "largeSizeInFeet": p.metadata.sizes.large.feet
}
FROM
    products p

[
  {
    "productName": "Teapo rainbow surfboard",
    "largeSizeInFeet": 7.66667
  }
]

Alias values

You can explicitly alias values in queries. If a query has two properties with the same name, use aliasing to rename one or both of the properties so they're disambiguated in the projected result.

Examples

The AS keyword used for aliasing is optional, as shown in the following example.

SELECT
    p.name,
    p.metadata.sku AS modelNumber
FROM
    products p

[
  {
    "name": "Teapo rainbow surfboard",
    "modelNumber": "72109"
  }
]

Alias values with reserved keywords or special characters

You can't use aliasing to project a value as a property name with a space, special character, or reserved word. If you wanted to change a value's projection to, for example, have a property name with a space, you could use a JSON expression.

Here's an example:

SELECT VALUE {
    "Product's name | ": p.name,
    "Model number => ": p.metadata.sku
}
FROM
    products p

[
  {
    "Product's name | ": "Teapo rainbow surfboard",
    "Model number => ": "72109"
  }
]

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