geoip ip2region2 with spark

上一篇文章中 我使用 maxmind的免费库开发了一个waterdrop的 插件，测试数据发现，国内的有些市级还是不准确，而且香港并不是显示中国，这就不友好了。

找了一下，发下 ip2region 这个很不错。https://github.com/lionsoul2014/ip2region

我使用这个库，然后使用之前的代码，稍加修改，测试了一下，效果还是不错的。基本没有再出现空的值。

关于查询效率上，如作者所说,memsearch最快，我测试了确实如此，但是会出现一开始的一些spark流的批次效率稍差一些，慢慢地会提上去

package com.student

import io.github.interestinglab.waterdrop.apis.BaseFilter
import com.typesafe.config.{Config, ConfigFactory}
import org.apache.spark.SparkFiles
import org.apache.spark.sql.{Dataset, Row, SparkSession}
import org.apache.spark.sql.functions.{col, udf}

import scala.collection.JavaConversions._
import org.lionsoul.ip2region.DbConfig
import org.lionsoul.ip2region.DbSearcher
import scala.collection.JavaConversions._
import org.lionsoul.ip2region.DbConfig
import org.lionsoul.ip2region.DbSearcher

object SearcherWrapper extends Serializable {
  @transient lazy val searcher = {
    val config = new DbConfig
    val dbfile = SparkFiles.get("ip2region.db")
    val searcher = new DbSearcher(config, dbfile)
    searcher
  }
}

class IP2Region2 extends BaseFilter {

  var config: Config = ConfigFactory.empty()

  /**
    * Set Config.
    **/
  override def setConfig(config: Config): Unit = {
    this.config = config
  }

  /**
    * Get Config.
    **/
  override def getConfig(): Config = {
    this.config
  }

  override def checkConfig(): (Boolean, String) = {

    val requiredOptions = List("source_field")
    val nonExistsOptions: List[(String, Boolean)] = requiredOptions.map { optionName =>
      (optionName, config.hasPath(optionName))
    }.filter { p =>
      !p._2
    }

    if (nonExistsOptions.length == 0) {
      (true, "")
    } else {
      (false, "please specify setting as non-empty string")
    }

  }

  override def prepare(spark: SparkSession): Unit = {

    val defaultConfig = ConfigFactory.parseMap(
      Map(
        "source_field" -> "raw_message",
        "target_field" -> "__ROOT__"
      )
    )

    config = config.withFallback(defaultConfig)

  }

  override def process(spark: SparkSession, df: Dataset[Row]): Dataset[Row] = {

    val srcField = config.getString("source_field")

    val ip2region=udf{ip:String => ip2Location2(ip)}

     import  org.apache.spark.sql.functions.split

     df.withColumn("__region__", ip2region(col(srcField)))
      .withColumn("__country__",split(col("__region__"),"\\|")(0))
      .withColumn("__province__",split(col("__region__"),"\\|")(2))
      .withColumn("__city__",split(col("__region__"),"\\|")(3))
       .withColumn("__isp__",split(col("__region__"),"\\|")(4))

  }

  def ip2Location2(ip: String) = {
    try {
      val searcher = SearcherWrapper.searcher
      val response = searcher.memorySearch(ip)

      response.getRegion
    }
    catch {
      case ex: Exception =>
       // ex.printStackTrace()
        ""
    }
  }

}