com.microsoft.sqlserver.jdbc.spark.connectors.DataIOStrategy.scala Maven / Gradle / Ivy

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The Apache Spark Connector for SQL Server and Azure SQL is a high-performance connector that enables you to use transactional data in big data analytics and persists results for ad-hoc queries or reporting.

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package com.microsoft.sqlserver.jdbc.spark

import java.sql.ResultSetMetaData

import org.apache.spark.sql.{DataFrame, Row}

/**
 * Interface to define a read/write strategy.
 * Override write to define a write strategy for the connector.
 * Note Read functionality is re-used from default JDBC connector.
 * Read interface can be defined here in the future if required.
 * */
abstract class DataIOStrategy {
  def write(
        df: DataFrame,
        colMetaData: Array[ColumnMetadata],
        options: SQLServerBulkJdbcOptions,
        appId: String): Unit
}