in ADF - while running a data preview in source in Data Flow, though my json is valid i keep getting below error , though i can preview data in dataset tab.

at Source 'source1': org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 6.0 failed 1 times, most recent failure: Lost task 0.0 in stage 6.0 (TID 6, 10.139.64.9, executor 0): org.apache.spark.SparkException: Malformed records are detected in schema inference. Parse Mode: FAILFAST.
at org.apache.spark.sql.catalyst.json.JsonInferSchema$$anonfun$1$$anonfun$apply$1.apply(JsonInferSchema.scala:66)
at org.apache.spark.sql.catalyst.json.JsonInferSchema$$anonfun$1$$anonfun$apply$1.apply(JsonInferSchema.scala:53)
at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:435)
at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:441)
at scala.collection.Iterator$class.isEmpty(Iterator.scala:331)
at scala.collection.AbstractIterator.isEmpty(Iterator.scala:1334)
at scala.collection.TraversableOnce$class.reduceLeftOption(TraversableOnce.scala:203)
at scala.collection.AbstractIterator.reduceLeftOption(Iterator.scala:1334)
at scala.collection.TraversableOnce$class.reduceOption(TraversableOnce.scala:210)
at scala.collection.AbstractIterator.reduceOption(Iterator.scala:1334)
at org.apache.spark.sql.catalyst.json.JsonInferSchema$$anonfun$1.apply(JsonInferSchema.scala:70)
at org.apache.spark.sql.catalyst.json.JsonInferSchema$$anonfun$1.apply(JsonInferSchema.scala:50)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:830)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:830)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:353)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:317)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.doRunTask(Task.scala:140)
at org.apache.spark.scheduler.Task.run(Task.scala:113)
at org.apache.spark.executor.Executor$TaskRunner$$anonfun$13.apply(Executor.scala:533)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1541)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:539)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: com.fasterxml.jackson.core.JsonParseException: Unexpected end-of-input: expected close marker for OBJECT (from [Source: sun.nio.cs.StreamDecoder@1e0344b7; line: 1, column: 0])
at [Source: sun.nio.cs.StreamDecoder@1e0344b7; line: 1, column: 3]
at com.fasterxml.jackson.core.JsonParser._constructError(JsonParser.java:1581)
at com.fasterxml.jackson.core.base.ParserMinimalBase._reportError(ParserMinimalBase.java:533)
at com.fasterxml.jackson.core.base.ParserMinimalBase._reportInvalidEOF(ParserMinimalBase.java:470)
at com.fasterxml.jackson.core.base.ParserBase._handleEOF(ParserBase.java:501)
at com.fasterxml.jackson.core.base.ParserBase._eofAsNextChar(ParserBase.java:509)
at com.fasterxml.jackson.core.json.ReaderBasedJsonParser._skipWSOrEnd(ReaderBasedJsonParser.java:2018)
at com.fasterxml.jackson.core.json.ReaderBasedJsonParser.nextToken(ReaderBasedJsonParser.java:577)
at org.apache.spark.sql.catalyst.json.JacksonUtils$.nextUntil(JacksonUtils.scala:29)
at org.apache.spark.sql.catalyst.json.JsonInferSchema$.inferField(JsonInferSchema.scala:134)
at org.apache.spark.sql.catalyst.json.JsonInferSchema$$anonfun$1$$anonfun$apply$1$$anonfun$apply$3.apply(JsonInferSchema.scala:57)
at org.apache.spark.sql.catalyst.json.JsonInferSchema$$anonfun$1$$anonfun$apply$1$$anonfun$apply$3.apply(JsonInferSchema.scala:55)
at org.apache.spark.util.Utils$.tryWithResource(Utils.scala:2784)
at org.apache.spark.sql.catalyst.json.JsonInferSchema$$anonfun$1$$anonfun$apply$1.apply(JsonInferSchema.scala:55)
... 25 more

Driver stacktrace:
Description

Hello @kamalpreet kaur ,
We haven’t heard from you on the last response and was just checking back to see if you have a resolution yet .In case if you have any resolution please do share that same with the community as it can be helpful to others . Otherwise, will respond back with the more details and we will try to help .
Thanks
Himanshu

Hello @kamalpreet kaur ,
We haven’t heard from you on the last response and was just checking back to see if you have a resolution yet .In case if you have any resolution please do share that same with the community as it can be helpful to others . Otherwise, will respond back with the more details and we will try to help .
Thanks
Himanshu