jq · lesson 12 of 32 · Filtering & conditions

Missing values: // and empty

a // b gives a unless it is null, false or produces nothing — then it gives b. empty produces no output at all, which makes it a way to drop values.

Examples

Example 1A default for missing e-mail

Document

{
  "team": "Platform",
  "office": { "city": "Berlin", "floor": 3 },
  "members": [
    { "name": "Ada", "age": 36, "role": "lead", "active": true,
      "email": "[email protected]", "skills": ["rust", "sql"] },
    { "name": "Linus", "age": 28, "role": "dev", "active": true,
      "email": null, "skills": ["c", "shell"] },
    { "name": "Grace", "age": 45, "role": "dev", "active": false,
      "skills": ["cobol"] },
    { "name": "Alan", "age": 41, "role": "qa", "active": true,
      "email": "[email protected]", "skills": [] }
  ]
}

Query

.members[] | .email // "n/a"
  1. .email Ada and Alan have one, Linus has null, and Grace has no such key at all.
  2. // "n/a" The alternative operator: use the right side when the left is null, false or missing.

Try it in the playground

Example 2Drop the missing ones

Document

{
  "team": "Platform",
  "office": { "city": "Berlin", "floor": 3 },
  "members": [
    { "name": "Ada", "age": 36, "role": "lead", "active": true,
      "email": "[email protected]", "skills": ["rust", "sql"] },
    { "name": "Linus", "age": 28, "role": "dev", "active": true,
      "email": null, "skills": ["c", "shell"] },
    { "name": "Grace", "age": 45, "role": "dev", "active": false,
      "skills": ["cobol"] },
    { "name": "Alan", "age": 41, "role": "qa", "active": true,
      "email": "[email protected]", "skills": [] }
  ]
}

Query

[.members[] | .email // empty]
  1. // empty empty outputs nothing, so members without an e-mail simply vanish from the stream.

Try it in the playground

Good to know

  • has("email") only checks that the key exists: Linus has it (with the value null), Grace doesn't. select(.email) skips both.

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