measure/src/main/scala/org/apache/griffin/measure/datasource/cache/StreamingCacheClientFactory.scala

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  http://www.apache.org/licenses/LICENSE-2.0

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package org.apache.griffin.measure.datasource.cache

import org.apache.spark.sql.SparkSession

import org.apache.griffin.measure.Loggable
import org.apache.griffin.measure.datasource.TimestampStorage
import org.apache.griffin.measure.utils.ParamUtil._

object StreamingCacheClientFactory extends Loggable {

  private object DataSourceCacheType {
    val ParquetRegex = "^(?i)parq(uet)?$".r
    val JsonRegex = "^(?i)json$".r
    val OrcRegex = "^(?i)orc$".r
  }
  import DataSourceCacheType._

  val _type = "type"

  /**
    * create streaming cache client
    * @param sparkSession     sparkSession in spark environment
    * @param checkpointOpt  data source checkpoint/cache config option
    * @param name           data source name
    * @param index          data source index
    * @param tmstCache      the same tmstCache instance inside a data source
    * @return               streaming cache client option
    */
  def getClientOpt(sparkSession: SparkSession, checkpointOpt: Option[Map[String, Any]],
                   name: String, index: Int, tmstCache: TimestampStorage
                  ): Option[StreamingCacheClient] = {
    checkpointOpt.flatMap { param =>
      try {
        val tp = param.getString(_type, "")
        val dsCache = tp match {
          case ParquetRegex() =>
            StreamingCacheParquetClient(sparkSession, param, name, index, tmstCache)
          case JsonRegex() =>
            StreamingCacheJsonClient(sparkSession, param, name, index, tmstCache)
          case OrcRegex() =>
            StreamingCacheOrcClient(sparkSession, param, name, index, tmstCache)
          case _ =>
            StreamingCacheParquetClient(sparkSession, param, name, index, tmstCache)
        }
        Some(dsCache)
      } catch {
        case e: Throwable =>
          error("generate data source cache fails")
          None
      }
    }
  }

}