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to you under the Apache License, Version 2.0 (the
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*/
package org.apache.griffin.measure.datasource.connector.batch
import org.apache.griffin.measure.configuration.dqdefinition.DataConnectorParam
import org.apache.griffin.measure.context.TimeRange
import org.apache.griffin.measure.datasource.TimestampStorage
import org.apache.spark.sql.{DataFrame, SparkSession}
import org.apache.griffin.measure.utils.ParamUtil._
/**
* batch data connector for hive table
*/
case class HiveBatchDataConnector(@transient sparkSession: SparkSession,
dcParam: DataConnectorParam,
timestampStorage: TimestampStorage
) extends BatchDataConnector {
val config = dcParam.getConfig
val Database = "database"
val TableName = "table.name"
val Where = "where"
val database = config.getString(Database, "default")
val tableName = config.getString(TableName, "")
val whereString = config.getString(Where, "")
val concreteTableName = s"${database}.${tableName}"
val wheres = whereString.split(",").map(_.trim).filter(_.nonEmpty)
def data(ms: Long): (Option[DataFrame], TimeRange) = {
val dfOpt = try {
val dtSql = dataSql
info(dtSql)
val df = sparkSession.sql(dtSql)
val dfOpt = Some(df)
val preDfOpt = preProcess(dfOpt, ms)
preDfOpt
} catch {
case e: Throwable => {
error(s"load hive table ${concreteTableName} fails: ${e.getMessage}")
None
}
}
val tmsts = readTmst(ms)
(dfOpt, TimeRange(ms, tmsts))
}
private def tableExistsSql(): String = {
// s"SHOW TABLES LIKE '${concreteTableName}'" // this is hive sql, but not work for spark sql
s"tableName LIKE '${tableName}'"
}
private def metaDataSql(): String = {
s"DESCRIBE ${concreteTableName}"
}
private def dataSql(): String = {
val tableClause = s"SELECT * FROM ${concreteTableName}"
if (wheres.length > 0) {
val clauses = wheres.map { w =>
s"${tableClause} WHERE ${w}"
}
clauses.mkString(" UNION ALL ")
} else tableClause
}
}