Scala json4s-重载方法值解析和替代

我有一个使用json4s的Spark项目。当运行normaly submitted时，它可以正常工作，但我在尝试从spark shell解析JSON时遇到错误。最简单的示例（以这种方式在项目中使用）引发异常：

spark2-shell [options] --jars my-assembled.jar

scala> import org.json4s._
scala> import org.json4s.native.JsonMethods._

scala> parse(""" { "numbers" : [1, 2, 3, 4] } """)
<console>:30: error: overloaded method value parse with alternatives:
  (in: org.json4s.JsonInput,useBigDecimalForDouble: Boolean,useBigIntForLong: Boolean)org.json4s.JValue <and>
  (in: org.json4s.JsonInput,useBigDecimalForDouble: Boolean)org.json4s.JValue
 cannot be applied to (String)

这并不是：

scala> parse(""" { "numbers" : [1, 2, 3, 4] } """, false, false)
java.lang.NoSuchMethodError: org.json4s.package$.JLong()Lorg/json4s/JsonAST$JLong$;
  at org.json4s.native.JsonParser$$anonfun$1.apply(JsonParser.scala:194)
  at org.json4s.native.JsonParser$$anonfun$1.apply(JsonParser.scala:145)
  at org.json4s.native.JsonParser$.parse(JsonParser.scala:133)
  at org.json4s.native.JsonParser$.parse(JsonParser.scala:71)
  at org.json4s.native.JsonMethods$class.parse(JsonMethods.scala:10)
  at org.json4s.native.JsonMethods$.parse(JsonMethods.scala:63)
  ... 53 elided

我还使用Ammonite REPL在没有火花的情况下进行了检查：

@ import $ivy.`org.json4s:json4s-native_2.12:3.6.10` 
@ import org.json4s._ 
@ import org.json4s.native.JsonMethods._ 
@ parse(""" { "numbers" : [1, 2, 3, 4] } """) 
res3: JValue = JObject(List(("numbers", JArray(List(JInt(1), JInt(2), JInt(3), JInt(4))))))

---

这可能是Scala版本的问题（在Scala 2.11.2上使用Spark 2.3，在2.12.8上使用Ammonite示例）？我检查了3.3.0和3.6.10之间的一些json4s版本。

这是因为二进制不兼容

Spark 2.3.0依赖于

json4s-jackson_2.11-3.2.11

，但您可以尝试使用不兼容版本的

json4s native

因此，从

--jars

中删除

json4s

，导入

org.json4s.jackson.JsonMethods.\u

而不是

org.json4s.native.JsonMethods.\u

并删除

parse

的第三个参数（在json4s 3.2.11中没有参数

useBigIntForLong

）

然后

---

绝对地谢谢

@ import $ivy.`org.json4s:json4s-native_2.12:3.6.10` 
@ import org.json4s._ 
@ import org.json4s.native.JsonMethods._ 
@ parse(""" { "numbers" : [1, 2, 3, 4] } """) 
res3: JValue = JObject(List(("numbers", JArray(List(JInt(1), JInt(2), JInt(3), JInt(4))))))

~/spark-2.3.0-bin-hadoop2.7/bin$ ./spark-shell --jars json4s-native_2.11-3.6.10.jar,json4s-ast_2.11-3.6.10.jar,json4s-core_2.11-3.6.10.jar,json4s-scalap_2.11-3.6.10.jar,paranamer-2.8.jar
2020-11-30 05:44:37 WARN  Utils:66 - Your hostname, dmitin-HP-Pavilion-Laptop resolves to a loopback address: 127.0.1.1; using 192.168.0.103 instead (on interface wlo1)
2020-11-30 05:44:37 WARN  Utils:66 - Set SPARK_LOCAL_IP if you need to bind to another address
2020-11-30 05:44:37 WARN  NativeCodeLoader:62 - Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
Spark context Web UI available at http://192.168.0.103:4040
Spark context available as 'sc' (master = local[*], app id = local-1606707882568).
Spark session available as 'spark'.
Welcome to
      ____              __
     / __/__  ___ _____/ /__
    _\ \/ _ \/ _ `/ __/  '_/
   /___/ .__/\_,_/_/ /_/\_\   version 2.3.0
      /_/
         
Using Scala version 2.11.8 (Java HotSpot(TM) 64-Bit GraalVM EE 19.3.0, Java 1.8.0_231)
Type in expressions to have them evaluated.
Type :help for more information.

scala> import org.json4s._
import org.json4s._

scala> import org.json4s.native.JsonMethods._
import org.json4s.native.JsonMethods._

scala> parse(""" { "numbers" : [1, 2, 3, 4] } """)
<console>:30: error: overloaded method value parse with alternatives:
  (in: org.json4s.JsonInput,useBigDecimalForDouble: Boolean,useBigIntForLong: Boolean)org.json4s.JValue <and>
  (in: org.json4s.JsonInput,useBigDecimalForDouble: Boolean)org.json4s.JValue
 cannot be applied to (String)
parse(""" { "numbers" : [1, 2, 3, 4] } """)
^

scala> parse(""" { "numbers" : [1, 2, 3, 4] } """, false, true)
res1: org.json4s.JValue = JObject(List((numbers,JArray(List(JInt(1), JInt(2), JInt(3), JInt(4))))))

scala> parse(""" { "numbers" : [1, 2, 3, 4] } """, true, true)
res2: org.json4s.JValue = JObject(List((numbers,JArray(List(JInt(1), JInt(2), JInt(3), JInt(4))))))

scala> parse(""" { "numbers" : [1, 2, 3, 4] } """, false, false)
java.lang.NoSuchMethodError: org.json4s.package$.JLong()Lorg/json4s/JsonAST$JLong$;
  at org.json4s.native.JsonParser$$anonfun$1.apply(JsonParser.scala:194)
  at org.json4s.native.JsonParser$$anonfun$1.apply(JsonParser.scala:145)
  at org.json4s.native.JsonParser$.parse(JsonParser.scala:133)
  at org.json4s.native.JsonParser$.parse(JsonParser.scala:71)
  at org.json4s.native.JsonMethods$class.parse(JsonMethods.scala:10)
  at org.json4s.native.JsonMethods$.parse(JsonMethods.scala:63)
  ... 53 elided

~/spark-2.3.0-bin-hadoop2.7/bin$ ./spark-shell 
2020-11-30 06:27:59 WARN  Utils:66 - Your hostname, dmitin-HP-Pavilion-Laptop resolves to a loopback address: 127.0.1.1; using 192.168.0.103 instead (on interface wlo1)
2020-11-30 06:27:59 WARN  Utils:66 - Set SPARK_LOCAL_IP if you need to bind to another address
2020-11-30 06:27:59 WARN  NativeCodeLoader:62 - Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
Spark context Web UI available at http://192.168.0.103:4040
Spark context available as 'sc' (master = local[*], app id = local-1606710484369).
Spark session available as 'spark'.
Welcome to
      ____              __
     / __/__  ___ _____/ /__
    _\ \/ _ \/ _ `/ __/  '_/
   /___/ .__/\_,_/_/ /_/\_\   version 2.3.0
      /_/
         
Using Scala version 2.11.8 (Java HotSpot(TM) 64-Bit GraalVM EE 19.3.0, Java 1.8.0_231)
Type in expressions to have them evaluated.
Type :help for more information.

scala> import org.json4s._
import org.json4s._

scala> import org.json4s.jackson.JsonMethods._
import org.json4s.jackson.JsonMethods._

scala> parse(""" { "numbers" : [1, 2, 3, 4] } """)
res0: org.json4s.JValue = JObject(List((numbers,JArray(List(JInt(1), JInt(2), JInt(3), JInt(4))))))

scala> parse(""" { "numbers" : [1, 2, 3, 4] } """, true)
res1: org.json4s.JValue = JObject(List((numbers,JArray(List(JInt(1), JInt(2), JInt(3), JInt(4))))))

scala> parse(""" { "numbers" : [1, 2, 3, 4] } """, false)
res2: org.json4s.JValue = JObject(List((numbers,JArray(List(JInt(1), JInt(2), JInt(3), JInt(4))))))