Where

Description

Filters the documents from the previous stage, returning only the documents where the condition evaluates to true.

Syntax:

where(condition: Expr)

Example

Create a cities collection with the following documents:

Node.js

await db.collection('cities').doc('SF').set({name: 'San Francisco', state: 'CA', country: 'USA', population: 870000});
await db.collection('cities').doc('LA').set({name: 'Los Angeles', state: 'CA', country: 'USA', population: 3970000});
await db.collection('cities').doc('NY').set({name: 'New York', state: 'NY', country: 'USA', population: 8530000});
await db.collection('cities').doc('TOR').set({name: 'Toronto', state: null, country: 'Canada', population: 2930000});
await db.collection('cities').doc('MEX').set({name: 'Mexico City', state: null, country: 'Mexico', population: 9200000});

Perform an equality search:

Node.js

const cities = await db.pipeline()
  .collection("/cities")
  .where(field("state").equals("CA"))
  .execute();

Generates the following result:

{name: 'San Francisco', state: 'CA', country: 'USA', population: 870000},
{name: 'Los Angeles',   state: 'CA', country: 'USA', population: 3970000}

Client examples

Web

let results;

results = await execute(db.pipeline().collection("books")
  .where(field("rating").equal(5))
  .where(field("published").lessThan(1900))
);

results = await execute(db.pipeline().collection("books")
  .where(and(field("rating").equal(5), field("published").lessThan(1900)))
);
Swift
var results: Pipeline.Snapshot

results = try await db.pipeline().collection("books")
  .where(Field("rating").equal(5))
  .where(Field("published").lessThan(1900))
  .execute()

results = try await db.pipeline().collection("books")
  .where(Field("rating").equal(5) && Field("published").lessThan(1900))
  .execute()

Kotlin

var results: Task<Pipeline.Snapshot>

results = db.pipeline().collection("books")
    .where(field("rating").equal(5))
    .where(field("published").lessThan(1900))
    .execute()

results = db.pipeline().collection("books")
    .where(Expression.and(field("rating").equal(5),
      field("published").lessThan(1900)))
    .execute()

Java

Task<Pipeline.Snapshot> results;

results = db.pipeline().collection("books")
    .where(field("rating").equal(5))
    .where(field("published").lessThan(1900))
    .execute();

results = db.pipeline().collection("books")
    .where(Expression.and(
        field("rating").equal(5),
        field("published").lessThan(1900)
    ))
    .execute();
Python
from google.cloud.firestore_v1.pipeline_expressions import And, Field

results = (
    client.pipeline()
    .collection("books")
    .where(Field.of("rating").equal(5))
    .where(Field.of("published").less_than(1900))
    .execute()
)

results = (
    client.pipeline()
    .collection("books")
    .where(And(Field.of("rating").equal(5), Field.of("published").less_than(1900)))
    .execute()
)
Java
Pipeline.Snapshot results1 =
    firestore
        .pipeline()
        .collection("books")
        .where(field("rating").equal(5))
        .where(field("published").lessThan(1900))
        .execute()
        .get();

Pipeline.Snapshot results2 =
    firestore
        .pipeline()
        .collection("books")
        .where(and(field("rating").equal(5), field("published").lessThan(1900)))
        .execute()
        .get();

Behavior

Multiple Stages

Multiple where(...) stages can be chained together, acting as an and(...) expression across each condition.

Node.js

const cities = await db.pipeline()
  .collection("/cities")
  .where(field("location.country").equals("USA"))
  .where(field("population").greaterThan(500000))
  .execute();

Filtering based on a logical or of two conditions though need to be done as a single where(...) stage though.

Node.js

const cities = await db.pipeline()
  .collection("/cities")
  .where(field("location.state").equals("NY").or(field("location.state").equals("CA")))
  .execute();

Complex Expressions

The filter condition can contain complex filter conditions containing deeply nested expressions and logical operators. For example:

Node.js

const cities = await db.pipeline()
  .collection("/cities")
  .where(
    field("name").like("San%")
    .or(
      field("location.state").charLength().greaterThan(7)
      .and(field("location.country").equals("USA"))))

filters /cities based on a regular expression, or if the city is in the USA with a long enough state name. Any expression can be given as the condition, but will only match those which evaluate to true.

Stage Ordering

The order of stages is important as it can change the query evaluation order. For example the query:

Node.js

const cities = await db.pipeline()
  .collection("/cities")
  .limit(10)
  .where(field("location.country").equals("USA"))
  .execute();

will only filter on location.country for a (potentially random) set of 10 documents as the prior limit(...) stage is restricting the documents that are ever provided to the where(...) stage. Given this, the rule of thumb is to put the where(...) stages as early in the query as possible.

HAVING-Like Functionality:

The where(...) stage can come after any stage that changes the schema of the documents, like select(...) or aggregate(...) and will refer to the fields produced from those stages. Importantly for aggregate(...), a following where(...) clause that refers to the accumulated fields acts like a HAVING clause in a typical SQL system. For example:

Node.js

const cities = await db.pipeline()
  .collection("/cities")
  .aggregate({
    accumulators: [field("population").sum().as("total_population")],
    groups: ['location.state']
  })
  .where(field("total_population").greaterThan(10000000))

allows returning the states which have cities over a total population size.