Class

com.appsflyer.spark.bigquery.streaming

BigQueryDataFrameWriter

Related Doc: package streaming

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implicit class BigQueryDataFrameWriter extends Serializable

Enhanced version of DataStreamWriter with BigQuery support.

Sample usage:

df.writeStream.bigQueryTable("project-id:dataset-id.table-id")

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Instance Constructors

  1. new BigQueryDataFrameWriter(writer: DataStreamWriter[String])

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Value Members

  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. final def asInstanceOf[T0]: T0

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  5. def bigQueryTable(fullyQualifiedOutputTableId: String, batchSize: Int = 500): Unit

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    Insert data into BigQuery table using streaming API

    Insert data into BigQuery table using streaming API

    fullyQualifiedOutputTableId

    output-table id of the form [optional projectId]:[datasetId].[tableId]

    batchSize

    number of rows to write to BigQuery at once (default: 500)

  6. def clone(): AnyRef

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  9. def finalize(): Unit

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  10. final def getClass(): Class[_]

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  11. def hashCode(): Int

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  12. final def isInstanceOf[T0]: Boolean

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  13. final def ne(arg0: AnyRef): Boolean

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  14. final def notify(): Unit

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  15. final def notifyAll(): Unit

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  16. final def synchronized[T0](arg0: ⇒ T0): T0

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  17. def toString(): String

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  18. final def wait(): Unit

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  19. final def wait(arg0: Long, arg1: Int): Unit

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  20. final def wait(arg0: Long): Unit

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