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@@ -54,7 +54,7 @@ case class CompanyCourtAnnouncement(s: SparkSession, project: String, //表所
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def calc(runOld: Boolean = false) = {
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import spark.implicits._
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- val inc_ads_company_tb_list = s"${project}.inc_ads_${tableName}_list" //增量ads_list表
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+ val inc_ads_company_tb_list = s"${project}.inc_ads_${tableName}_list_v1" //增量ads_list表
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var adsListDs = getPartion(inc_ads_company_tb_list, spark)
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//跑存量取第一个分区
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@@ -326,11 +326,11 @@ case class CompanyCourtAnnouncement(s: SparkSession, project: String, //表所
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def preCalc(): Boolean = {
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- val inc_ods_company_tb = s"${project}.inc_ods_$tableName" //增量ods表
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- val inc_ads_company_tb = s"${project}.inc_ads_$tableName" //增量ads表
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- val inc_ads_company_tb_list = s"${project}.inc_ads_${tableName}_list" //增量ads_list表
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+ val inc_ods_company_tb = s"${project}.inc_ods_${tableName}" //增量ods表
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+ val inc_ads_company_tb = s"${project}.inc_ads_${tableName}_v1" //增量ads表
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+ val inc_ads_company_tb_list = s"${project}.inc_ads_${tableName}_list_v1" //增量ads_list表
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- val ads_company_tb = s"${project}.ads_$tableName" //存量ads表
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+ val ads_company_tb = s"${project}.ads_${tableName}_v1" //存量ads表
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//table字段
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val columns: Seq[String] = spark.table(inc_ads_company_tb).schema.map(_.name).filter(s => {
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