VectorDataFrameWriter

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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 clone(): AnyRef

   

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6. final def eq(arg0: AnyRef): Boolean

   

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7. def equals(arg0: Any): Boolean

   

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8. def finalize(): Unit

   

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

   

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10. def hashCode(): Int

    

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11. final def isInstanceOf[T0]: Boolean

    

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

    

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13. final def notify(): Unit

    

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14. final def notifyAll(): Unit

    

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

    

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16. def toString(): String

    

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17. def vector(vectorProps: VectorConnectionProperties, table: String, properties: Properties): Unit

    

    Saves the content of the DataFrame to an external vector database table accessible via the x100 engine.

    Saves the content of the DataFrame to an external vector database table accessible via the x100 engine.

    vectorProps

    connection properties to the Vector instance

    table

    name of the table to unload

    properties

    Vector database connection arguments, a list of arbitrary string tag/value. Can include a "cols" property consisting of a comma separated list of the columns to read. May also include "loadpresql" and "loadpostsql" properties containing any sql commands which should be run before or after the DataFrame is written to the table.

18. def vector(host: String, instance: String, database: String, table: String, properties: Properties): Unit

    

    Saves the content of the DataFrame to an external vector database table accessible via the x100 engine.

    Saves the content of the DataFrame to an external vector database table accessible via the x100 engine.

    host

    Name of the vector host

    instance

    Name of the vector instance

    database

    Name of the vector database

    table

    Name of the table to unload

    properties

    Vector database connection arguments, a list of arbitrary string tag/value. Normally at least a "user" and "password" property should be included. Can include a "cols" property consisting of a comma separated list of the columns to read. May also include "loadpresql" and "loadpostsql" properties containing any sql commands which should be run before or after the DataFrame is written to the table.

19. final def wait(): Unit

    

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

    

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

    

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