object UpdateCommand extends Serializable

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  4. val CONDITION_COLUMN_NAME: String
  5. val FILE_NAME_COLUMN: String
  6. val FINDING_TOUCHED_FILES_MSG: String
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  18. def rewritingFilesMsg(numFilesToRewrite: Long): String
  19. def shouldOutputCdc(txn: OptimisticTransaction): Boolean

    Whether or not CDC is enabled on this table and, thus, if we should output CDC data during this UPDATE operation.

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  25. def withUpdatedColumns(target: LogicalPlan, updateExpressions: Seq[Expression], condition: Expression, dfWithEvaluatedCondition: DataFrame, shouldOutputCdc: Boolean): DataFrame

    Build the new columns.

    Build the new columns. If the condition matches, generate the new value using the corresponding UPDATE EXPRESSION; otherwise, keep the original column value.

    When CDC is enabled, includes the generation of CDC pre-image and post-image columns for changed rows.

    target

    target we are updating into

    updateExpressions

    the update transformation to perform on the input DataFrame

    condition

    update condition

    dfWithEvaluatedCondition

    source DataFrame on which we will apply the update expressions with an additional column CONDITION_COLUMN_NAME which is the true/false value of if the update condition is satisfied

    shouldOutputCdc

    if we should output CDC data during this UPDATE operation.

    returns

    the updated DataFrame, with extra CDC columns if CDC is enabled

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