object MiniBatchState extends Serializable
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- def apply[A, K](miniBatchSize: Int, strictBatchSizes: Boolean)(implicit partitioner: Partitioner[A, K]): MiniBatchState[A, K]
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def
byTime[A](source: Observable[A], miniBatchSize: Int, timeBucketSize: FiniteDuration)(implicit arg0: HasTimestamp[A]): Observable[PartitionEvent[A, TimeBucket]]
An example of batching by time (in minutes)
An example of batching by time (in minutes)
- source
the data source
- miniBatchSize
the number of records to observe beyond the time before 'flushing' the bucket
- timeBucketSize
the bucket size (reduced to minutes) for the batches
- returns
a stream of append events from the source observable
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def
partitionEvents[A, K](source: Observable[A], miniBatchSize: Int, strictBatchSizes: Boolean)(implicit partitioner: Partitioner[A, K]): Observable[PartitionEvent[A, K]]
Return a stream of PartitionEvents from the given observable
Return a stream of PartitionEvents from the given observable
- K
the bucket (batch) type
- source
the original stream
- miniBatchSize
a 'number of events received' indicator used to determine how often a FlushBucket event is sent
- strictBatchSizes
if false, then the 'miniBatchSize' is used to indicate the number of 'A' values observed without the 'A' value appearing in a 'K' bucket before we flush
- partitioner
a means to partition values of A into buckets of type K
- returns
an observable of events (append and flush) which
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