class CouchbaseSink extends Sink with Logging
A simple Structured Streaming sink which writes the data frame to the bucket.
Note that for now Upsert is always used internally to not run into document already exists exception, especially when writing aggregates.
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Instance Constructors
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new
CouchbaseSink(options: Map[String, String])
- options
options passed from the upper level down to the dataframe writer.
Value Members
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final
def
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final
def
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final
def
==(arg0: Any): Boolean
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def
addBatch(batchId: Long, data: DataFrame): Unit
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final
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asInstanceOf[T0]: T0
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getClass(): Class[_]
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def
getContextOrCouchbaseClassLoader: ClassLoader
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def
getCouchbaseClassLoader: ClassLoader
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hashCode(): Int
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def
initializeLogIfNecessary(isInterpreter: Boolean): Unit
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isTraceEnabled(): Boolean
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def
log: Logger
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def
logDebug(msg: ⇒ String, throwable: Throwable): Unit
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logDebug(msg: ⇒ String): Unit
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def
logError(msg: ⇒ String, throwable: Throwable): Unit
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def
logError(msg: ⇒ String): Unit
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def
logInfo(msg: ⇒ String, throwable: Throwable): Unit
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def
logInfo(msg: ⇒ String): Unit
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def
logName: String
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def
logTrace(msg: ⇒ String, throwable: Throwable): Unit
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def
logTrace(msg: ⇒ String): Unit
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def
logWarning(msg: ⇒ String, throwable: Throwable): Unit
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def
logWarning(msg: ⇒ String): Unit
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notify(): Unit
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notifyAll(): Unit
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wait(): Unit
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wait(arg0: Long): Unit
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