Aggregate data

Aggregation runs inside the platform store. For anything longer than a few days, it is dramatically cheaper than reading every record into Dart and folding it yourself.

The four metrics

final now = DateTime.now();
final thirtyDaysAgo = now.subtract(const Duration(days: 30));

// Sum — for quantities that accumulate.
final sumResult = await connector.aggregate(
  HealthDataType.steps.aggregateSum(
    startTime: thirtyDaysAgo,
    endTime: now,
  ),
);
print('Total steps: ${sumResult.value}');

// Average — for measurements that fluctuate.
final avgResult = await connector.aggregate(
  HealthDataType.weight.aggregateAvg(
    startTime: thirtyDaysAgo,
    endTime: now,
  ),
);
print('Average weight: ${avgResult.inKilograms} kg');

// Minimum.
final minResult = await connector.aggregate(
  HealthDataType.weight.aggregateMin(
    startTime: thirtyDaysAgo,
    endTime: now,
  ),
);
print('Minimum weight: ${minResult.inKilograms} kg');

// Maximum.
final maxResult = await connector.aggregate(
  HealthDataType.weight.aggregateMax(
    startTime: thirtyDaysAgo,
    endTime: now,
  ),
);
print('Maximum weight: ${maxResult.inKilograms} kg');

Those four — aggregateSum, aggregateAvg, aggregateMin, aggregateMax — are the complete set. There is no separate duration method.

Only meaningful metrics exist

The available methods are part of each data type's interface, so nonsensical aggregations are not offered at all:

Data type	Sum	Avg / Min / Max
Steps	Yes	—
Active energy burned	Yes	—
Weight	—	Yes
Heart rate	—	Yes
Exercise session	Yes (a TimeDuration)	—

HealthDataType.weight.aggregateSum(...) is a compile error, not a runtime failure — summing body weight has no meaning. 112 of the 143 data types support at least one metric; filter by Aggregatable only in the data type explorer to see which, and which metrics each one offers.

"Duration" is a return type, not a method

Session types such as exerciseSession and mindfulnessSession are listed as supporting Duration. That means their aggregateSum returns a TimeDuration — the total time spent across the range — rather than a count or a mass:

// AggregateRequest<TimeDuration> — still aggregateSum.
final totalWorkoutTime = await connector.aggregate(
  HealthDataType.exerciseSession.aggregateSum(
    startTime: from,
    endTime: to,
  ),
);

print('${totalWorkoutTime.inMinutes} minutes trained');

Results keep their units

An aggregate over a dimensioned type returns that dimension:

final avgWeight = await connector.aggregate(
  HealthDataType.weight.aggregateAvg(startTime: from, endTime: to),
);

print(avgWeight.inKilograms);
print(avgWeight.inPounds); // same measurement, different unit

Dimensionless types such as steps return a count through .value.

Aggregate rather than read-and-fold

// Prefer this: one call, computed on device.
final total = await connector.aggregate(
  HealthDataType.steps.aggregateSum(startTime: monthAgo, endTime: now),
);

// Avoid this for long ranges: pages of records over the channel,
// plus the memory to hold them.
var request = HealthDataType.steps.readInTimeRange(
  startTime: monthAgo,
  endTime: now,
);
var total2 = 0;
while (true) {
  final page = await connector.readRecords(request);
  total2 += page.records.fold(0, (sum, r) => sum + r.count.value);
  if (page.nextPageRequest == null) break;
  request = page.nextPageRequest!;
}

Read the individual records only when you need to display or process them one by one.

Building daily or weekly buckets

There is no bucketed aggregate API. For a chart, issue one aggregate per bucket:

Future<List<int>> dailySteps(int days) async {
  final results = <int>[];
  final midnight = DateTime.now().copyWith(
    hour: 0, minute: 0, second: 0, millisecond: 0, microsecond: 0,
  );

  for (var day = days - 1; day >= 0; day--) {
    final start = midnight.subtract(Duration(days: day));
    final aggregate = await connector.aggregate(
      HealthDataType.steps.aggregateSum(
        startTime: start,
        endTime: start.add(const Duration(days: 1)),
      ),
    );
    results.add(aggregate.value);
  }

  return results;
}

Watch the Android rate limit

A year of daily buckets is 365 calls in a tight loop. Health Connect enforces a per-app request quota and throws rateLimitExceeded when you exhaust it; Google does not publish the exact figure, and it varies by device and Health Connect version, so treat any burst of hundreds of calls as unsafe rather than aiming at a number.

Two things make this a non-issue in practice:

• Compute buckets once and cache them. Historical days never change unless the underlying records do.
• Recompute only what moved. synchronize() tells you which records changed, which tells you which buckets are stale.

If you do hit the limit, back off exponentially with jitter — see the retry helper.

Next steps

• Measurement unitsWhat aggregate results are typed as.
• Synchronize incrementallyKnow which buckets need recomputing.
• Health data typesAggregation support per type.