StreamPark2.1.7 添加Flink Home 报错 base64 character 2d 解决方法

StreamPark 添加Flink Home 报如下错误：

原因是这个版本本身的bug,没有将flink conf base64 编码,而是直接存到数据库。

1.登录streampark 的数据库查询表 t_flink_env 如图，存储的是原始配置路径：

2.登录gitee 找到streampark 的源码类 DeflaterUtils

有两个编解码方法：

java 复制代码

import org.apache.commons.lang3.StringUtils

import java.io.ByteArrayOutputStream
import java.util.Base64
import java.util.zip.{DataFormatException, Deflater, Inflater}
  
def zipString(text: String): String = {
    if (StringUtils.isBlank(text)) return ""
    // compression level (0 ~ 9): low to high
    // create a new deflater with the specified compression level
    val deflater = new Deflater(Deflater.BEST_COMPRESSION)
    // set the compressed input data
    deflater.setInput(text.getBytes)
    deflater.finish()
    val bytes = new Array[Byte](256)
    val outputStream = new ByteArrayOutputStream(256)
    while (!deflater.finished) {
      val length = deflater.deflate(bytes)
      outputStream.write(bytes, 0, length)
    }
    deflater.`end`()
    Base64.getEncoder.encodeToString(outputStream.toByteArray)
  }

  def unzipString(zipString: String): String = {
    val decode = Base64.getDecoder.decode(zipString)
    val inflater = new Inflater
    inflater.setInput(decode)
    val bytes = new Array[Byte](256)
    val outputStream = new ByteArrayOutputStream(256)
    try {
      while (!inflater.finished) { // decompress bytes array to the buffer
        val length = inflater.inflate(bytes)
        outputStream.write(bytes, 0, length)
      }
    } catch {
      case e: DataFormatException =>
        e.printStackTrace()
        return null
    } finally {
      inflater.`end`()
    }
    outputStream.toString
  }

3.将streampark 低版本正常的配置拿过来解码一下，发现是将flink-conf.yaml原文直接编码的，而不是存储路径

将flink1.20.3 的fink conf 原文使用 zipString base64编码存储到数据库表的t_flink_env.flink_conf 替换原本的路径

5.刷新streamPark 页面，点击配置的flink1.20.3 可以看到ok了