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st_rsvr_r_zt.scala
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st_rsvr_r_zt.scala
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package cn.gistack.gdmp.datawrangling.script
import cn.gistack.gdmp.datawrangling.script.service.IDataWranglingScript
import java.sql.DriverManager
import java.time.format.DateTimeFormatter
import java.time.{LocalDate, LocalDateTime}
import java.util.Properties
import org.apache.spark.broadcast.Broadcast
import org.apache.spark.sql.functions._
import org.apache.spark.sql.{DataFrame, SparkSession}
import scala.collection.mutable.ListBuffer
/**
* @author SuperHuang
* @date 2021/12/06 10:32
* */
class DataWranglingScript extends BaseDataWranglingScript with IDataWranglingScript {
override def executeScript(): Unit = {
val spark = SparkSession
.builder()
.master("local[*]")
.appName("test")
.config("spark.sql.extensions", "io.delta.sql.DeltaSparkSessionExtension")
.config("spark.sql.catalog.spark_catalog", "org.apache.spark.sql.delta.catalog.DeltaCatalog")
.getOrCreate()
var start_tm = "2024-06-01"
var end_tm = "2024-06-14"
var is_current = "true"
var sd = 2
//获取历史记录最新时间
var collect_tm = "2023-04-24"
if(is_current.equals("true")){
val his_max_tm_sql_tb = """ select max(tm)-0.1 as tm from md.st_rsvr_r """
val lastest_tm_df = readMD(spark,his_max_tm_sql_tb)
val lastest_tm_cache = lastest_tm_df
if(lastest_tm_cache.take(1)(0)(0) !=null ){
println("st_rsvr_r 前一次历史最新时间是:"+lastest_tm_cache.take(1)(0).getTimestamp(0))
val timestamp = lastest_tm_cache.select("tm").take(1)(0).getTimestamp(0)
val formatter = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss")
val data_last_tm = formatter.format(timestamp.toLocalDateTime)
println(data_last_tm)
collect_tm = data_last_tm
}else{
println("st_rsvr_r 前一次历史最新时间是Null，因此数据将从最早的时间采集")
collect_tm= "2024-06-01"
}
}
var tm = new ListBuffer[String]
var sqktm = new ListBuffer[String]
if(is_current == "true"){
println(s"delete from md.st_rsvr_r where tm>='$collect_tm'")
deleteData(s"delete from md.st_rsvr_r where tm>='$collect_tm'")
println(s"==============tm>='$collect_tm' delete finish")
val strings = dateList(collect_tm, LocalDate.now().plusDays(1).toString+" 00:00:00", sd)
val sqkstr = sqk_list(collect_tm, LocalDate.now().plusDays(1).toString+" 00:00:00", sd)
tm = strings
sqktm=sqkstr
}else{
println(s"delete from md.st_rsvr_r where tm>='$start_tm' and tm<'$end_tm'")
deleteData(s"delete from md.st_rsvr_r where tm>='$start_tm' and tm<'$end_tm'")
println(s"==============tm>='$start_tm' and tm<'$end_tm' delete finish")
val strings = dateList(start_tm, end_tm, sd)
tm = strings
val sqkstr = sqk_list(start_tm, end_tm, sd)
sqktm=sqkstr
}
import spark.implicits._
val st_list = readMD(spark,"select * from md.att_st_base where st_extsttp like '%RR%' ")
.select(col("st_code"))
println(st_list.count())
val broadcastCodes: Broadcast[Array[String]] = spark.sparkContext.broadcast(st_list.as[String].collect())
val prop = new Properties()
prop.put("user", "wqualitykz") //表示用户名
prop.put("password", "kz2018") //表示密码
prop.put("driver", "oracle.jdbc.driver.OracleDriver")
val sqk = spark.read.jdbc(url="jdbc:oracle:thin:@10.12.4.29:1521/meetHydro",table="HYDROKZ.DZP_SQ",sqktm.toArray,prop)
.filter(row => broadcastCodes.value.contains(row.getAs[String]("ZH")))
.select(
col("ZH").alias("guid"),
col("ZH").alias("st_code"),
col("YMDHM").alias("tm").cast("timestamp"),
(col("UP_SW")+col("DJSZGC")).alias("rz").cast("decimal(7,3)"),
col("RKLL").alias("inq").cast("decimal(9,3)"),
col("XSL").alias("w").cast("decimal(9,3)"),
lit(null).alias("blrz").cast("decimal(7,3)"),
col("LL").alias("otq").cast("decimal(9,3)"),
lit(null).alias("rwchrcd").cast("string"),
lit(null).alias("rwptn").cast("string"),
lit(null).alias("inqdr").cast("decimal(5,2)"),
lit(null).alias("msqmt").cast("string"),
lit(current_timestamp()).alias("eff_time"),
col("LEIXING").alias("data_type").cast("int"),
col("RJLL").alias("q_avg").cast("decimal(7,3)"),
col("XJLL").alias("xjll").cast("decimal(7,3)"),
col("YJLL").alias("yjll").cast("decimal(7,3)"),
col("JJSW").alias("jjsw").cast("decimal(7,3)"),
col("DJSZGC").alias("djszgc").cast("decimal(7,3)"),
col("UP_SW").alias("z_gc").cast("decimal(7,3)"),
col("EXKEY").alias("exkey").cast("string"),
lit("dzp_sq").alias("data_source").cast("string"),
)
val res_rz = spark.read.jdbc(url="jdbc:oracle:thin:@10.12.4.29:1521/meetHydro",table="HYDROKZ.ST_RSVR_R",tm.toArray,prop)
.select(
col("STCD").alias("guid"),
col("STCD").alias("st_code"),
col("TM").alias("tm").cast("timestamp"),
col("RZ").alias("rz").cast("decimal(7,3)"),
col("INQ").alias("inq").cast("decimal(9,3)"),
col("W").alias("w").cast("decimal(9,3)"),
col("BLRZ").alias("blrz").cast("decimal(7,3)"),
col("OTQ").alias("otq").cast("decimal(9,3)"),
col("RWCHRCD").alias("rwchrcd").cast("string"),
col("RWPTN").alias("rwptn").cast("string"),
col("INQDR").alias("inqdr").cast("decimal(5,2)"),
col("MSQMT").alias("msqmt").cast("string"),
lit(current_timestamp()).alias("eff_time"),
lit(1).alias("data_type").cast("int"),
lit(null).alias("q_avg").cast("decimal(7,3)"),
lit(null).alias("xjll").cast("decimal(7,3)"),
lit(null).alias("yjll").cast("decimal(7,3)"),
lit(null).alias("jjsw").cast("decimal(7,3)"),
lit(null).alias("djszgc").cast("decimal(7,3)"),
lit(null).alias("z_gc").cast("decimal(7,3)"),
lit(null).alias("exkey").cast("string"),
lit("lk").alias("data_source").cast("string"),
).join(sqk, Seq("guid", "st_code","tm"), "left_anti")
val result = sqk.unionAll(res_rz)
println(result.count())
result.printSchema()
result.show()
writeRdjc(result,"st_rsvr_r")
spark.stop()
}
def readMD(spark: SparkSession,table:String): DataFrame ={
val reader = spark.read.format("jdbc")
.option("dirver", "com.kingbase8.Driver")
.option("url", "jdbc:kingbase8://10.12.40.26:54321/tjfhdd")
.option("dbtable", s"($table) AS t")
.option("user", "kingbase")
.option("password", "L#zst&r&j5vZ")
.load()
reader
}
def dateList(start:String,end:String,slid:Int): ListBuffer[String] ={
val tm_list = new ListBuffer[String]()
val dateFormatter = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss")
val startDate = LocalDateTime.parse(start, dateFormatter)
val endDate = LocalDateTime.parse(end, dateFormatter)
//.minusDays(1)
// 构建日期序列
val dateRange = Iterator.iterate(startDate)(_ plusHours 1).takeWhile(!_.isAfter(endDate)).toList
// 遍历日期序列，将连续的两个日期作为参数传入函数
dateRange.sliding(slid).foreach(pair => {
val tm_filter = "tm>=to_date('"+pair.head.format(dateFormatter)+ "','yyyy-mm-dd hh24:mi:ss') and tm<to_date('"+pair.last.format(dateFormatter)+"','yyyy-mm-dd hh24:mi:ss')"
tm_list.append(tm_filter)
})
tm_list.foreach(r=>println("加载时间段:"+r))
tm_list
}
def sqk_list(start:String,end:String,slid:Int): ListBuffer[String] ={
val dzp_sq_list = new ListBuffer[String]()
val dateFormatter = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss")
val startDate = LocalDateTime.parse(start, dateFormatter)
val endDate = LocalDateTime.parse(end, dateFormatter)
//.minusDays(1)
// 构建日期序列
val dateRange = Iterator.iterate(startDate)(_ plusHours 1).takeWhile(!_.isAfter(endDate)).toList
// 遍历日期序列，将连续的两个日期作为参数传入函数
dateRange.sliding(slid).foreach(pair => {
val tm_filter = "YMDHM>=to_date('"+pair.head.format(dateFormatter)+ "','yyyy-mm-dd hh24:mi:ss') and YMDHM<to_date('"+pair.last.format(dateFormatter)+"','yyyy-mm-dd hh24:mi:ss')"
dzp_sq_list.append(tm_filter)
})
dzp_sq_list.foreach(r=>println("dzp_sq加载时间段:"+r))
dzp_sq_list
}
def deleteData(sql:String): Unit = {
// connect to Dm database
val dmUrl = "jdbc:kingbase8://10.12.40.26:54321/tjfhdd"
val dmUser = "kingbase"
val dmPassword = "L#zst&r&j5vZ"
val dmConn = DriverManager.getConnection(dmUrl, dmUser, dmPassword)
dmConn.setAutoCommit(false)
val insertStatement = dmConn.createStatement()
val insertQuery = s"$sql"
insertStatement.executeUpdate(insertQuery)
dmConn.commit()
dmConn.setAutoCommit(true)
insertStatement.close()
dmConn.close()
}
def writeRdjc(frame:DataFrame,table:String): Unit ={
frame.write
.mode("append")
.format("jdbc")
.option("url", "jdbc:kingbase8://10.12.40.26:54321/tjfhdd")
.option("dbtable", s"md.$table")
.option("user", "kingbase")
.option("password", "L#zst&r&j5vZ")
.save()
}
}