Apache spark spark结构化流媒体中的Jackson版本问题

当将

spark结构化流媒体

与

spark-sql-kafka-0-10_2.11

一起使用时，我看到了

MethodNotFoundError

。基于另一个问题 我试图明确设置杰克逊版本

版本2.9.6、2.4.3、2.9.0已经过试用。

2.4.3

说“杰克逊版本太旧了”。其他版本说

原因：com.fasterxml.jackson.databind.JsonMappingException: 不兼容的Jackson版本：2.9.0

以下是

2.9.0

的完整ST:

19/05/10 11:30:18 ERROR MicroBatchExecution: Query [id = dbd581ba-42d7-4496-9fde-fe04dab6e7b4, runId = b5b023df-cb39-4048-90dc-e9a57cce4883] terminated with error
java.lang.ExceptionInInitializerError
    at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
    at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
    at org.apache.spark.sql.execution.SparkPlan.getByteArrayRdd(SparkPlan.scala:247org.apache.spark.sql.Dataset$$anonfun$53.apply(Dataset.scala:3365)
    at org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:78)
    at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:125)
    at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:73)
    at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3364)
    at org.apache.spark.sql.Dataset.collect(Dataset.scala:2783)
    at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$org$apache$spark$sql$execution$streaming$MicroBatchExecution$$runBatch$5$$anonfun$apply$17.apply(MicroBatchExecution.scala:537)
    at org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:78)
    at      at org.apache.spark.sql.execution.streaming.ProgressReporter$class.reportTimeTaken(ProgressReporter.scala:351)
    at 
 ..
org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:189)
    Caused by: com.fasterxml.jackson.databind.JsonMappingException: 
   Incompatible Jackson version: 2.9.0
        at com.fasterxml.jackson.module.scala.JacksonModule$class.setupModule(JacksonModule.scala:64)
        at com.fasterxml.jackson.module.scala.DefaultScalaModule.setupModule(DefaultScalaModule.scala:19)
        at com.fasterxml.jackson.databind.ObjectMapper.registerModule(ObjectMapper.java:751)
        at org.apache.spark.rdd.RDDOperationScope$.<init>(RDDOperationScope.scala:82)
        at org.apache.spark.rdd.RDDOperationScope$.<clinit>(RDDOperationScope.scala)

以及AWS的类似排除

    <dependency>
        <groupId>com.amazonaws</groupId>
        <artifactId>aws-java-sdk</artifactId>
        <version>1.7.4</version>
       <exclusions>
            <exclusion>
                <groupId>com.fasterxml.jackson.core</groupId>
                <artifactId>jackson-core</artifactId>
            </exclusion>
            <exclusion>
                <groupId>com.fasterxml.jackson.core</groupId>
                <artifactId>jackson-databind</artifactId>
            </exclusion>
        </exclusions>
    </dependency>

亚马逊网站
aws java sdk
1.7.4
com.fasterxml.jackson.core
杰克逊核心
com.fasterxml.jackson.core
杰克逊数据绑定

---

有什么想法可以解决这里的jackson版本问题吗？

通过查找$SPARK\u HOME/jars目录并搜索

jackson数据绑定找到答案：

$ll *jackson-databind*
-rw-r--r--@ 1 steve  staff  1165323 Mar 26 17:13 jackson-databind-2.6.7.1.jar

因此，然后更新

    <jackson.databind.version>2.6.7</jackson.databind.version>

2.6.7

已解决问题。
对于Scala，请在build.sbt文件中添加：

dependencyOverrides += "com.fasterxml.jackson.core" % "jackson-databind" % "2.6.7"

dependencyOverrides += "com.fasterxml.jackson.core" % "jackson-databind" % "2.6.7"