麦粉432276 发表于 2020-9-29 11:19:54

测试服务连接失败

本帖最后由 麦粉432276 于 2020-9-29 11:30 编辑

请问这个要怎么获取正确的服务地址

Jaylin 发表于 2020-9-29 11:19:55

要部署好数据挖掘，然后进行配置;https://wiki.smartbi.com.cn/pages/viewpage.action?pageId=47490477

Jaylin 发表于 2020-9-30 09:10:15

已经部署了数据挖掘引擎了吗？

麦粉432276 发表于 2020-10-9 10:52:58

Jaylin 发表于 2020-9-30 09:10
已经部署了数据挖掘引擎了吗？

是上面那个引擎地址吗，还是要另外部署什么？上面那个引擎地址是连接成功的

Jaylin 发表于 2020-10-10 13:58:07

这个引擎是要部署数据挖掘引擎的。你为什么要配置这里呢？

麦粉432276 发表于 2020-10-16 10:29:28

我执行数据挖掘的时候报错，第一次执行到抽取报错，第二次点击执行就报错；

第一次抽取报错日志：
2020-10-16 10:09:57.003 INFO node.GenericNode.start:90 - Node start. (id:8b8ad4503f2aeb6f80912e7edcbfc366,name:FIT_NODE)
2020-10-16 10:09:57.140 ERROR node.GenericNode.handleExecuteError:117 - Node execution failed.(id:8b8ad4503f2aeb6f80912e7edcbfc366,name:FIT_NODE)
java.lang.IllegalArgumentException: requirement failed: Column CITY must be of type numeric but was actually of type string.
        at scala.Predef$.require(Predef.scala:224) ~
        at org.apache.spark.ml.util.SchemaUtils$.checkNumericType(SchemaUtils.scala:76) ~
        at org.apache.spark.ml.feature.QuantileDiscretizer$anonfun$transformSchema$1.apply(QuantileDiscretizer.scala:196) ~
        at org.apache.spark.ml.feature.QuantileDiscretizer$anonfun$transformSchema$1.apply(QuantileDiscretizer.scala:195) ~
        at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33) ~
        at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186) ~
        at org.apache.spark.ml.feature.QuantileDiscretizer.transformSchema(QuantileDiscretizer.scala:195) ~
        at org.apache.spark.ml.Pipeline$anonfun$transformSchema$4.apply(Pipeline.scala:184) ~
        at org.apache.spark.ml.Pipeline$anonfun$transformSchema$4.apply(Pipeline.scala:184) ~
        at scala.collection.IndexedSeqOptimized$class.foldl(IndexedSeqOptimized.scala:57) ~
        at scala.collection.IndexedSeqOptimized$class.foldLeft(IndexedSeqOptimized.scala:66) ~
        at scala.collection.mutable.ArrayOps$ofRef.foldLeft(ArrayOps.scala:186) ~
        at org.apache.spark.ml.Pipeline.transformSchema(Pipeline.scala:184) ~
        at org.apache.spark.ml.PipelineStage.transformSchema(Pipeline.scala:74) ~
        at org.apache.spark.ml.Pipeline.fit(Pipeline.scala:136) ~
        at smartbix.datamining.engine.execute.node.feature.BucketizerNode$BucketizerEvent.fit(BucketizerNode.java:109) ~
        at smartbix.datamining.engine.execute.node.feature.BucketizerNode$BucketizerEvent.fit(BucketizerNode.java:58) ~
        at smartbix.datamining.engine.execute.node.train.FitNode.execute(FitNode.java:27) ~
        at smartbix.datamining.engine.execute.node.GenericNode.start(GenericNode.java:101)
        at smartbix.datamining.engine.experiment.execute.node.ExperimentNodeExecutor.run(ExperimentNodeExecutor.java:40)
        at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511) [?:1.8.0_202-ea]
        at java.util.concurrent.FutureTask.run(FutureTask.java:266) [?:1.8.0_202-ea]
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) [?:1.8.0_202-ea]
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) [?:1.8.0_202-ea]
        at java.lang.Thread.run(Thread.java:748) [?:1.8.0_202-ea]
2020-10-16 10:09:57.204 INFO reflections.Reflections.scan:232 - Reflections took 54 ms to scan 7 urls, producing 88 keys and 501 values
2020-10-16 10:09:57.259 INFO flow.ExperimentGenericFlow.fail:204 - Flow failed,(id:I8ac26e200174d26bd26beaea0174d3a424b40023,name:日利润挖掘)
2020-10-16 10:09:57.259 INFO flow.ExperimentGenericFlow.close:235 - Flow closed.(id:I8ac26e200174d26bd26beaea0174d3a424b40023)
2020-10-16 10:09:57.260 INFO flow.ExperimentSparkFlowContext.close:34 - clear active session
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