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        1. Bug SPARK-357
          Missing Codec Exception thrown by using WHERE
        2. Bug SPARK-344
          Inferschema ignores users pipelines
        3. Bug SPARK-307
          irregular nested data - com.mongodb.spark.exceptions.MongoTypeConversionException
        4. Bug SPARK-341
          Gracefully handle Decimals with larger precision than the schema
        5. New Feature SPARK-380
          Add ability for readStream to startAt
        6. Bug SPARK-355
          ReadConfig.AllowDiskUse not applied to all pipelines
        7. Bug SPARK-350
          MongoTable.name() should not error if not specialized.
        8. New Feature SPARK-302
          Add Catalog support
        9. New Feature SPARK-356
          Support compound keys
        10. Improvement SPARK-417
          MongoMicroBatchStream may read change stream events from the past
        11. Improvement SPARK-416
          MongoMicroBatchPartitionReader.next should stop calling tryNext if the resume token timestamp is equal to the end offset timestamp
        12. New Feature SPARK-327
          Support for handling Corrupt/Bad records on spark read
        13. New Feature SPARK-257
          Spark query can skip the invalid data type from mongo
        14. Bug SPARK-395
          ReadConfig.AllowDiskUse should also be taken into account during sort
        15. Bug SPARK-432
          Broken reading filter on structures field with dash character
        16. Bug SPARK-269
          com.mongodb.spark.exceptions.MongoTypeConversionException: Cannot cast STRING into a IntegerType (value: BsonString{value='Success'})
        17. Bug SPARK-328
          Incorrect precision and scale is inferrred for Array[Decimal128] field in spark read.
        18. Task SPARK-285
          spark connector failing to do complete load of a collection from mongoDB, Missing records.
        19. New Feature SPARK-236
          Handle cursor not found exceptions
        20. Task SPARK-339
          can't connect to mongo using standard uri
        21. Task SPARK-250
          with mongodb connector, spark stuck at the last task.
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        {"errorMessages":["jqlTooComplex"],"errors":{}}
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