case class Base64Writer[A](dir: Path, recordsReceivedBeforeClosingBucket: Int, numberOfAppendsBeforeWriterFlush: Int, timeBucketMinutes: Int, flushEvery: Int, limit: Option[Long])(implicit evidence$1: HasTimestamp[A], evidence$2: Show[A]) extends Product with Serializable
An ETL configuration which will take Kafka records and write them to some directory
- A
the record type
- dir
the directory to write the buckets under
- recordsReceivedBeforeClosingBucket
see comments in reference.conf
- numberOfAppendsBeforeWriterFlush
see comments in reference.conf
- timeBucketMinutes
see comments in reference.conf
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- new Base64Writer(dir: Path, recordsReceivedBeforeClosingBucket: Int, numberOfAppendsBeforeWriterFlush: Int, timeBucketMinutes: Int, flushEvery: Int, limit: Option[Long])(implicit arg0: HasTimestamp[A], arg1: Show[A])
- dir
the directory to write the buckets under
- recordsReceivedBeforeClosingBucket
see comments in reference.conf
- numberOfAppendsBeforeWriterFlush
see comments in reference.conf
- timeBucketMinutes
see comments in reference.conf
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- final def ##(): Int
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- def asEvents(input: Observable[A]): Observable[PartitionEvent[A, TimeBucket]]
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- val dir: Path
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- val limit: Option[Long]
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- val numberOfAppendsBeforeWriterFlush: Int
- def partition(input: Observable[A]): Observable[(TimeBucket, Path)]
- def productElementNames: Iterator[String]
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- val recordsReceivedBeforeClosingBucket: Int
- final def synchronized[T0](arg0: => T0): T0
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- val timeBucketMinutes: Int
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- def write(events: Observable[PartitionEvent[A, TimeBucket]]): Observable[(TimeBucket, Path)]