org.apache.spark.sql.execution.streaming.sources
RatePerMicroBatchProvider
Companion object RatePerMicroBatchProvider
class RatePerMicroBatchProvider extends SimpleTableProvider with DataSourceRegister
A source that generates increment long values with timestamps. Each generated row has two columns: a timestamp column for the generated time and an auto increment long column starting with 0L.
This source supports the following options:
rowsPerMicroBatch(e.g. 100): How many rows should be generated per micro-batch.numPartitions(e.g. 10, default: Spark's default parallelism): The partition number for the generated rows.startTimestamp(e.g. 1000, default: 0): starting value of generated timeadvanceMillisPerMicroBatch(e.g. 1000, default: 1000): the amount of time being advanced in generated time on each micro-batch.
Unlike rate data source, this data source provides a consistent set of input rows per
micro-batch regardless of query execution (configuration of trigger, query being lagging, etc.),
say, batch 0 will produce 0~999 and batch 1 will produce 1000~1999, and so on. Same applies to
the generated time.
As the name represents, this data source only supports micro-batch read.
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- new RatePerMicroBatchProvider()
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The string that represents the format that this data source provider uses.
The string that represents the format that this data source provider uses. This is overridden by children to provide a nice alias for the data source. For example:
override def shortName(): String = "parquet"
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- RatePerMicroBatchProvider → DataSourceRegister
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1.5.0
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